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Posted to commits@kafka.apache.org by gi...@apache.org on 2025/12/17 20:51:39 UTC
(kafka-site) branch asf-site updated: Updated asf staging from GHA workflow run 20316818163
This is an automated email from the ASF dual-hosted git repository.
github-bot pushed a commit to branch asf-site
in repository https://gitbox.apache.org/repos/asf/kafka-site.git
The following commit(s) were added to refs/heads/asf-site by this push:
new ecad367a8 Updated asf staging from GHA workflow run 20316818163
ecad367a8 is described below
commit ecad367a865967e206f7772534e30d0fc60256c0
Author: github-actions[bot] <41...@users.noreply.github.com>
AuthorDate: Wed Dec 17 20:51:25 2025 +0000
Updated asf staging from GHA workflow run 20316818163
Commit: https://github.com/apache/kafka-site/commit/492fe80a7f38c3c6af2aa27dea8342ba1e44ee95
GitHub Run: https://github.com/apache/kafka-site/actions/runs/20316818163
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082/_print/index.html | 485 ++
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090/_print/index.html | 1809 ++++
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090/design/_print/index.html | 1072 +++
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10/design/_print/index.html | 1267 +++
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10/implementation.html | 307 -
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10/streams/developer-guide/dsl-api.html | 3206 -------
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11/images/icons/rabobank.png | Bin
11/images/icons/zalando.png | Bin
11/implementation.html | 307 -
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28/security/_print/index.html | 503 ++
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32/_print/index.html | 8002 +++++++++++++++++
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32/design/_print/index.html | 4107 +++++++++
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32/ops.html | 3205 -------
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32/security.html | 2122 -----
32/security/_print/index.html | 506 ++
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33/_print/index.html | 8319 ++++++++++++++++++
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35/getting-started/_print/index.html | 79 +
35/getting-started/ecosystem/index.html | 98 +
35/getting-started/index.html | 95 +
35/getting-started/index.xml | 7 +
35/getting-started/introduction/index.html | 101 +
35/getting-started/quickstart/index.html | 152 +
35/getting-started/upgrade/index.html | 118 +
35/getting-started/uses/index.html | 102 +
35/images/icons/line.png | Bin
35/images/icons/new-york.png | Bin
35/images/icons/rabobank.png | Bin
35/images/icons/zalando.png | Bin
35/implementation.html | 297 -
35/implementation/_print/index.html | 112 +
35/implementation/distribution/index.html | 98 +
35/implementation/index.html | 95 +
35/implementation/index.xml | 3 +
35/implementation/log/index.html | 114 +
35/implementation/message-format/index.html | 173 +
35/implementation/messages/index.html | 98 +
35/implementation/network-layer/index.html | 97 +
35/index.html | 95 +
35/index.xml | 1 +
35/introduction.html | 220 -
35/js/templateData.js | 24 -
35/kafka-connect/_print/index.html | 294 +
35/kafka-connect/administration/index.html | 110 +
.../connector-development-guide/index.html | 291 +
35/kafka-connect/index.html | 95 +
35/kafka-connect/index.xml | 5 +
35/kafka-connect/overview/index.html | 97 +
35/kafka-connect/user-guide/index.html | 166 +
35/migration.html | 34 -
35/operations/_print/index.html | 485 ++
35/operations/basic-kafka-operations/index.html | 283 +
35/operations/datacenters/index.html | 98 +
.../index.html | 244 +
35/operations/hardware-and-os/index.html | 105 +
35/operations/index.html | 95 +
35/operations/index.xml | 13 +
35/operations/java-version/index.html | 101 +
35/operations/kafka-configuration/index.html | 112 +
35/operations/kraft/index.html | 197 +
35/operations/monitoring/index.html | 101 +
35/operations/multi-tenancy/index.html | 104 +
35/operations/zookeeper/index.html | 98 +
35/ops.html | 3819 --------
35/protocol.html | 226 -
35/quickstart.html | 388 -
35/security.html | 2432 ------
35/security/_print/index.html | 519 ++
35/security/authentication-using-sasl/index.html | 347 +
35/security/authorization-and-acls/index.html | 131 +
.../index.html | 243 +
.../index.html | 114 +
35/security/index.html | 95 +
35/security/index.xml | 8 +
35/security/listener-configuration/index.html | 113 +
35/security/security-overview/index.html | 97 +
35/security/zookeeper-authentication/index.html | 128 +
35/security/zookeeper-encryption/index.html | 108 +
35/streams/_print/index.html | 2668 ++++++
35/streams/architecture.html | 199 -
35/streams/architecture/index.html | 106 +
35/streams/core-concepts.html | 387 -
35/streams/core-concepts/index.html | 102 +
35/streams/developer-guide/_print/index.html | 2142 +++++
35/streams/developer-guide/app-reset-tool.html | 203 -
.../developer-guide/app-reset-tool/index.html | 157 +
35/streams/developer-guide/config-streams.html | 1163 ---
.../developer-guide/config-streams/index.html | 280 +
35/streams/developer-guide/datatypes.html | 238 -
35/streams/developer-guide/datatypes/index.html | 137 +
35/streams/developer-guide/dsl-api.html | 3965 ---------
35/streams/developer-guide/dsl-api/index.html | 1183 +++
.../developer-guide/dsl-topology-naming.html | 350 -
.../developer-guide/dsl-topology-naming/index.html | 196 +
35/streams/developer-guide/index.html | 201 +-
35/streams/developer-guide/index.xml | 26 +
.../developer-guide/interactive-queries.html | 503 --
.../developer-guide/interactive-queries/index.html | 323 +
35/streams/developer-guide/manage-topics.html | 137 -
.../developer-guide/manage-topics/index.html | 111 +
35/streams/developer-guide/memory-mgmt.html | 279 -
35/streams/developer-guide/memory-mgmt/index.html | 163 +
35/streams/developer-guide/processor-api.html | 625 --
.../developer-guide/processor-api/index.html | 213 +
35/streams/developer-guide/running-app.html | 188 -
35/streams/developer-guide/running-app/index.html | 109 +
35/streams/developer-guide/security.html | 190 -
35/streams/developer-guide/security/index.html | 143 +
35/streams/developer-guide/testing.html | 400 -
35/streams/developer-guide/testing/index.html | 307 +
.../developer-guide/write-streams-app/index.html | 172 +
35/streams/developer-guide/write-streams.html | 245 -
35/streams/index.html | 503 +-
35/streams/index.xml | 7 +
35/streams/introduction/index.html | 229 +
35/streams/quickstart.html | 381 -
35/streams/quickstart/index.html | 222 +
35/streams/tutorial.html | 608 --
35/streams/tutorial/index.html | 380 +
35/streams/upgrade-guide.html | 1454 ----
35/streams/upgrade-guide/index.html | 96 +
35/toc.html | 230 -
35/upgrade.html | 2252 -----
35/uses.html | 81 -
36/_print/index.html | 8777 +++++++++++++++++++
36/api.html | 110 -
36/apis/_print/index.html | 46 +
36/apis/index.html | 125 +
36/apis/index.xml | 1 +
36/configuration.html | 313 -
36/configuration/_print/index.html | 38 +
36/configuration/admin-configs/index.html | 101 +
36/configuration/broker-configs/index.html | 110 +
36/configuration/consumer-configs/index.html | 101 +
36/configuration/index.html | 98 +
36/configuration/index.xml | 15 +
36/configuration/kafka-connect-configs/index.html | 101 +
36/configuration/kafka-streams-configs/index.html | 101 +
36/configuration/mirrormaker-configs/index.html | 101 +
36/configuration/producer-configs/index.html | 101 +
36/configuration/system-properties/index.html | 103 +
36/configuration/tiered-storage-configs/index.html | 99 +
36/configuration/topic-level-configs/index.html | 108 +
36/connect.html | 1090 ---
36/design.html | 680 --
36/design/_print/index.html | 4593 ++++++++++
36/design/design/index.html | 121 +
36/design/index.html | 98 +
36/design/index.xml | 4 +
36/design/protocol/index.html | 4664 ++++++++++
36/documentation.html | 113 -
36/documentation/index.html | 18 -
36/documentation/streams/architecture.html | 19 -
36/documentation/streams/core-concepts.html | 19 -
.../streams/developer-guide/app-reset-tool.html | 19 -
.../streams/developer-guide/config-streams.html | 19 -
.../streams/developer-guide/datatypes.html | 19 -
.../streams/developer-guide/dsl-api.html | 19 -
.../developer-guide/dsl-topology-naming.html | 19 -
.../streams/developer-guide/index.html | 19 -
.../developer-guide/interactive-queries.html | 19 -
.../streams/developer-guide/manage-topics.html | 19 -
.../streams/developer-guide/memory-mgmt.html | 19 -
.../streams/developer-guide/processor-api.html | 19 -
.../streams/developer-guide/running-app.html | 19 -
.../streams/developer-guide/security.html | 19 -
.../streams/developer-guide/testing.html | 19 -
.../streams/developer-guide/write-streams.html | 19 -
36/documentation/streams/index.html | 19 -
36/documentation/streams/quickstart.html | 19 -
36/documentation/streams/tutorial.html | 19 -
36/documentation/streams/upgrade-guide.html | 19 -
36/ecosystem.html | 18 -
36/getting-started/_print/index.html | 81 +
36/getting-started/ecosystem/index.html | 101 +
36/getting-started/index.html | 98 +
36/getting-started/index.xml | 8 +
36/getting-started/introduction/index.html | 104 +
36/getting-started/quickstart/index.html | 155 +
36/getting-started/upgrade/index.html | 127 +
36/getting-started/uses/index.html | 105 +
36/images/icons/line.png | Bin
36/images/icons/new-york.png | Bin
36/images/icons/rabobank.png | Bin
36/images/icons/zalando.png | Bin
36/implementation.html | 297 -
36/implementation/_print/index.html | 112 +
36/implementation/distribution/index.html | 101 +
36/implementation/index.html | 98 +
36/implementation/index.xml | 3 +
36/implementation/log/index.html | 117 +
36/implementation/message-format/index.html | 176 +
36/implementation/messages/index.html | 101 +
36/implementation/network-layer/index.html | 100 +
36/index.html | 98 +
36/index.xml | 1 +
36/introduction.html | 220 -
36/js/templateData.js | 24 -
36/kafka-connect/_print/index.html | 332 +
36/kafka-connect/administration/index.html | 113 +
.../connector-development-guide/index.html | 297 +
36/kafka-connect/index.html | 98 +
36/kafka-connect/index.xml | 5 +
36/kafka-connect/overview/index.html | 100 +
36/kafka-connect/user-guide/index.html | 204 +
36/migration.html | 34 -
36/operations/_print/index.html | 537 ++
36/operations/basic-kafka-operations/index.html | 286 +
36/operations/datacenters/index.html | 101 +
.../index.html | 251 +
36/operations/hardware-and-os/index.html | 108 +
36/operations/index.html | 98 +
36/operations/index.xml | 14 +
36/operations/java-version/index.html | 104 +
36/operations/kafka-configuration/index.html | 115 +
36/operations/kraft/index.html | 203 +
36/operations/monitoring/index.html | 104 +
36/operations/multi-tenancy/index.html | 107 +
36/operations/tiered-storage/index.html | 146 +
36/operations/zookeeper/index.html | 101 +
36/ops.html | 4127 ---------
36/protocol.html | 226 -
36/quickstart.html | 388 -
36/security.html | 2436 ------
36/security/_print/index.html | 519 ++
36/security/authentication-using-sasl/index.html | 350 +
36/security/authorization-and-acls/index.html | 134 +
.../index.html | 246 +
.../index.html | 117 +
36/security/index.html | 98 +
36/security/index.xml | 8 +
36/security/listener-configuration/index.html | 116 +
36/security/security-overview/index.html | 100 +
36/security/zookeeper-authentication/index.html | 131 +
36/security/zookeeper-encryption/index.html | 111 +
36/streams/_print/index.html | 2672 ++++++
36/streams/architecture.html | 206 -
36/streams/architecture/index.html | 109 +
36/streams/core-concepts.html | 387 -
36/streams/core-concepts/index.html | 105 +
36/streams/developer-guide/_print/index.html | 2146 +++++
36/streams/developer-guide/app-reset-tool.html | 203 -
.../developer-guide/app-reset-tool/index.html | 160 +
36/streams/developer-guide/config-streams.html | 1206 ---
.../developer-guide/config-streams/index.html | 283 +
36/streams/developer-guide/datatypes.html | 238 -
36/streams/developer-guide/datatypes/index.html | 140 +
36/streams/developer-guide/dsl-api.html | 3981 ---------
36/streams/developer-guide/dsl-api/index.html | 1190 +++
.../developer-guide/dsl-topology-naming.html | 350 -
.../developer-guide/dsl-topology-naming/index.html | 199 +
36/streams/developer-guide/index.html | 204 +-
36/streams/developer-guide/index.xml | 26 +
.../developer-guide/interactive-queries.html | 503 --
.../developer-guide/interactive-queries/index.html | 326 +
36/streams/developer-guide/manage-topics.html | 137 -
.../developer-guide/manage-topics/index.html | 114 +
36/streams/developer-guide/memory-mgmt.html | 279 -
36/streams/developer-guide/memory-mgmt/index.html | 166 +
36/streams/developer-guide/processor-api.html | 625 --
.../developer-guide/processor-api/index.html | 216 +
36/streams/developer-guide/running-app.html | 188 -
36/streams/developer-guide/running-app/index.html | 112 +
36/streams/developer-guide/security.html | 190 -
36/streams/developer-guide/security/index.html | 146 +
36/streams/developer-guide/testing.html | 400 -
36/streams/developer-guide/testing/index.html | 310 +
.../developer-guide/write-streams-app/index.html | 175 +
36/streams/developer-guide/write-streams.html | 245 -
36/streams/index.html | 506 +-
36/streams/index.xml | 8 +
36/streams/introduction/index.html | 232 +
36/streams/quickstart.html | 381 -
36/streams/quickstart/index.html | 225 +
36/streams/tutorial.html | 608 --
36/streams/tutorial/index.html | 387 +
36/streams/upgrade-guide.html | 1530 ----
36/streams/upgrade-guide/index.html | 99 +
36/toc.html | 242 -
36/upgrade.html | 2373 -----
36/uses.html | 81 -
37/_print/index.html | 8961 +++++++++++++++++++
37/api.html | 110 -
37/apis/_print/index.html | 46 +
37/apis/index.html | 126 +
37/apis/index.xml | 1 +
37/configuration.html | 313 -
37/configuration/_print/index.html | 38 +
37/configuration/admin-configs/index.html | 102 +
37/configuration/broker-configs/index.html | 111 +
37/configuration/consumer-configs/index.html | 102 +
37/configuration/index.html | 99 +
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37/configuration/kafka-connect-configs/index.html | 102 +
37/configuration/kafka-streams-configs/index.html | 102 +
37/configuration/mirrormaker-configs/index.html | 102 +
37/configuration/producer-configs/index.html | 102 +
37/configuration/system-properties/index.html | 104 +
37/configuration/tiered-storage-configs/index.html | 100 +
37/configuration/topic-level-configs/index.html | 109 +
37/connect.html | 1091 ---
37/design.html | 681 --
37/design/_print/index.html | 4742 ++++++++++
37/design/design/index.html | 122 +
37/design/index.html | 99 +
37/design/index.xml | 4 +
37/design/protocol/index.html | 4814 +++++++++++
37/docker.html | 58 -
37/documentation.html | 116 -
37/documentation/index.html | 18 -
37/documentation/streams/architecture.html | 19 -
37/documentation/streams/core-concepts.html | 19 -
.../streams/developer-guide/app-reset-tool.html | 19 -
.../streams/developer-guide/config-streams.html | 19 -
.../streams/developer-guide/datatypes.html | 19 -
.../streams/developer-guide/dsl-api.html | 19 -
.../developer-guide/dsl-topology-naming.html | 19 -
.../streams/developer-guide/index.html | 19 -
.../developer-guide/interactive-queries.html | 19 -
.../streams/developer-guide/manage-topics.html | 19 -
.../streams/developer-guide/memory-mgmt.html | 19 -
.../streams/developer-guide/processor-api.html | 19 -
.../streams/developer-guide/running-app.html | 19 -
.../streams/developer-guide/security.html | 19 -
.../streams/developer-guide/testing.html | 19 -
.../streams/developer-guide/write-streams.html | 19 -
37/documentation/streams/index.html | 19 -
37/documentation/streams/quickstart.html | 19 -
37/documentation/streams/tutorial.html | 19 -
37/documentation/streams/upgrade-guide.html | 19 -
37/ecosystem.html | 18 -
37/getting-started/_print/index.html | 87 +
37/getting-started/docker/index.html | 115 +
37/getting-started/ecosystem/index.html | 102 +
37/getting-started/index.html | 99 +
37/getting-started/index.xml | 9 +
37/getting-started/introduction/index.html | 105 +
37/getting-started/quickstart/index.html | 158 +
37/getting-started/upgrade/index.html | 123 +
37/getting-started/uses/index.html | 106 +
37/images/icons/line.png | Bin
37/images/icons/new-york.png | Bin
37/images/icons/rabobank.png | Bin
37/images/icons/zalando.png | Bin
37/implementation.html | 297 -
37/implementation/_print/index.html | 112 +
37/implementation/distribution/index.html | 102 +
37/implementation/index.html | 99 +
37/implementation/index.xml | 3 +
37/implementation/log/index.html | 118 +
37/implementation/message-format/index.html | 177 +
37/implementation/messages/index.html | 102 +
37/implementation/network-layer/index.html | 101 +
37/index.html | 99 +
37/index.xml | 1 +
37/introduction.html | 220 -
37/js/templateData.js | 24 -
37/kafka-connect/_print/index.html | 332 +
37/kafka-connect/administration/index.html | 114 +
.../connector-development-guide/index.html | 298 +
37/kafka-connect/index.html | 99 +
37/kafka-connect/index.xml | 5 +
37/kafka-connect/overview/index.html | 101 +
37/kafka-connect/user-guide/index.html | 205 +
37/migration.html | 34 -
37/operations/_print/index.html | 538 ++
37/operations/basic-kafka-operations/index.html | 287 +
37/operations/datacenters/index.html | 102 +
.../index.html | 252 +
37/operations/hardware-and-os/index.html | 109 +
37/operations/index.html | 99 +
37/operations/index.xml | 16 +
37/operations/java-version/index.html | 105 +
37/operations/kafka-configuration/index.html | 116 +
37/operations/kraft/index.html | 207 +
37/operations/monitoring/index.html | 103 +
37/operations/multi-tenancy/index.html | 108 +
37/operations/tiered-storage/index.html | 147 +
37/operations/zookeeper/index.html | 102 +
37/ops.html | 4341 ----------
37/protocol.html | 226 -
37/quickstart.html | 406 -
37/security.html | 2436 ------
37/security/_print/index.html | 520 ++
37/security/authentication-using-sasl/index.html | 351 +
37/security/authorization-and-acls/index.html | 135 +
.../index.html | 247 +
.../index.html | 118 +
37/security/index.html | 99 +
37/security/index.xml | 8 +
37/security/listener-configuration/index.html | 118 +
37/security/security-overview/index.html | 101 +
37/security/zookeeper-authentication/index.html | 132 +
37/security/zookeeper-encryption/index.html | 112 +
37/streams/_print/index.html | 2699 ++++++
37/streams/architecture.html | 206 -
37/streams/architecture/index.html | 110 +
37/streams/core-concepts.html | 387 -
37/streams/core-concepts/index.html | 106 +
37/streams/developer-guide/_print/index.html | 2145 +++++
37/streams/developer-guide/app-reset-tool.html | 203 -
.../developer-guide/app-reset-tool/index.html | 161 +
37/streams/developer-guide/config-streams.html | 1224 ---
.../developer-guide/config-streams/index.html | 284 +
37/streams/developer-guide/datatypes.html | 238 -
37/streams/developer-guide/datatypes/index.html | 141 +
37/streams/developer-guide/dsl-api.html | 3977 ---------
37/streams/developer-guide/dsl-api/index.html | 1190 +++
.../developer-guide/dsl-topology-naming.html | 350 -
.../developer-guide/dsl-topology-naming/index.html | 200 +
37/streams/developer-guide/index.html | 205 +-
37/streams/developer-guide/index.xml | 26 +
.../developer-guide/interactive-queries.html | 503 --
.../developer-guide/interactive-queries/index.html | 327 +
37/streams/developer-guide/manage-topics.html | 137 -
.../developer-guide/manage-topics/index.html | 115 +
37/streams/developer-guide/memory-mgmt.html | 279 -
37/streams/developer-guide/memory-mgmt/index.html | 167 +
37/streams/developer-guide/processor-api.html | 625 --
.../developer-guide/processor-api/index.html | 217 +
37/streams/developer-guide/running-app.html | 188 -
37/streams/developer-guide/running-app/index.html | 113 +
37/streams/developer-guide/security.html | 190 -
37/streams/developer-guide/security/index.html | 147 +
37/streams/developer-guide/testing.html | 400 -
37/streams/developer-guide/testing/index.html | 311 +
.../developer-guide/write-streams-app/index.html | 176 +
37/streams/developer-guide/write-streams.html | 245 -
37/streams/index.html | 507 +-
37/streams/index.xml | 7 +
37/streams/introduction/index.html | 233 +
37/streams/quickstart.html | 381 -
37/streams/quickstart/index.html | 226 +
37/streams/tutorial.html | 608 --
37/streams/tutorial/index.html | 384 +
37/streams/upgrade-guide.html | 1631 ----
37/streams/upgrade-guide/index.html | 128 +
37/toc.html | 243 -
37/upgrade.html | 2493 ------
37/uses.html | 81 -
38/README.md | 4 -
38/_print/index.html | 8654 +++++++++++++++++++
38/api.html | 110 -
38/apis/_print/index.html | 46 +
38/apis/index.html | 126 +
38/apis/index.xml | 1 +
38/configuration.html | 329 -
38/configuration/_print/index.html | 41 +
38/configuration/admin-configs/index.html | 102 +
38/configuration/broker-configs/index.html | 111 +
38/configuration/consumer-configs/index.html | 102 +
38/configuration/index.html | 99 +
38/configuration/index.xml | 16 +
38/configuration/kafka-connect-configs/index.html | 102 +
38/configuration/kafka-streams-configs/index.html | 102 +
38/configuration/mirrormaker-configs/index.html | 102 +
38/configuration/producer-configs/index.html | 102 +
38/configuration/system-properties/index.html | 107 +
38/configuration/tiered-storage-configs/index.html | 100 +
38/configuration/topic-level-configs/index.html | 109 +
38/connect.html | 1057 ---
38/design.html | 681 --
38/design/_print/index.html | 4889 +++++++++++
38/design/design/index.html | 122 +
38/design/index.html | 99 +
38/design/index.xml | 4 +
38/design/protocol/index.html | 4961 +++++++++++
38/docker.html | 58 -
38/documentation.html | 117 -
38/documentation/index.html | 18 -
38/documentation/streams/architecture.html | 19 -
38/documentation/streams/core-concepts.html | 19 -
.../streams/developer-guide/app-reset-tool.html | 19 -
.../streams/developer-guide/config-streams.html | 19 -
.../streams/developer-guide/datatypes.html | 19 -
.../streams/developer-guide/dsl-api.html | 19 -
.../developer-guide/dsl-topology-naming.html | 19 -
.../streams/developer-guide/index.html | 19 -
.../developer-guide/interactive-queries.html | 19 -
.../streams/developer-guide/manage-topics.html | 19 -
.../streams/developer-guide/memory-mgmt.html | 19 -
.../streams/developer-guide/processor-api.html | 19 -
.../streams/developer-guide/running-app.html | 19 -
.../streams/developer-guide/security.html | 19 -
.../streams/developer-guide/testing.html | 19 -
.../streams/developer-guide/write-streams.html | 19 -
38/documentation/streams/index.html | 19 -
38/documentation/streams/quickstart.html | 19 -
38/documentation/streams/tutorial.html | 19 -
38/documentation/streams/upgrade-guide.html | 19 -
38/ecosystem.html | 18 -
38/getting-started/_print/index.html | 93 +
38/getting-started/docker/index.html | 118 +
38/getting-started/ecosystem/index.html | 102 +
38/getting-started/index.html | 99 +
38/getting-started/index.xml | 11 +
38/getting-started/introduction/index.html | 105 +
38/getting-started/quickstart/index.html | 160 +
38/getting-started/upgrade/index.html | 132 +
38/getting-started/uses/index.html | 106 +
38/images/icons/line.png | Bin
38/images/icons/new-york.png | Bin
38/images/icons/rabobank.png | Bin
38/images/icons/zalando.png | Bin
38/implementation.html | 297 -
38/implementation/_print/index.html | 112 +
38/implementation/distribution/index.html | 102 +
38/implementation/index.html | 99 +
38/implementation/index.xml | 3 +
38/implementation/log/index.html | 118 +
38/implementation/message-format/index.html | 177 +
38/implementation/messages/index.html | 102 +
38/implementation/network-layer/index.html | 101 +
38/index.html | 99 +
38/index.xml | 1 +
38/introduction.html | 220 -
38/js/templateData.js | 24 -
38/kafka-connect/_print/index.html | 334 +
38/kafka-connect/administration/index.html | 114 +
.../connector-development-guide/index.html | 300 +
38/kafka-connect/index.html | 99 +
38/kafka-connect/index.xml | 5 +
38/kafka-connect/overview/index.html | 101 +
38/kafka-connect/user-guide/index.html | 205 +
38/migration.html | 34 -
38/operations/_print/index.html | 529 ++
38/operations/basic-kafka-operations/index.html | 279 +
38/operations/datacenters/index.html | 102 +
.../index.html | 251 +
38/operations/hardware-and-os/index.html | 109 +
38/operations/index.html | 99 +
38/operations/index.xml | 16 +
38/operations/java-version/index.html | 105 +
38/operations/kafka-configuration/index.html | 116 +
38/operations/kraft/index.html | 207 +
38/operations/monitoring/index.html | 103 +
38/operations/multi-tenancy/index.html | 108 +
38/operations/tiered-storage/index.html | 147 +
38/operations/zookeeper/index.html | 102 +
38/ops.html | 4341 ----------
38/protocol.html | 226 -
38/quickstart.html | 372 -
38/security.html | 2484 ------
38/security/_print/index.html | 520 ++
38/security/authentication-using-sasl/index.html | 351 +
38/security/authorization-and-acls/index.html | 135 +
.../index.html | 247 +
.../index.html | 118 +
38/security/index.html | 99 +
38/security/index.xml | 8 +
38/security/listener-configuration/index.html | 118 +
38/security/security-overview/index.html | 101 +
38/security/zookeeper-authentication/index.html | 132 +
38/security/zookeeper-encryption/index.html | 112 +
38/streams/_print/index.html | 2243 +++++
38/streams/architecture.html | 206 -
38/streams/architecture/index.html | 110 +
38/streams/core-concepts.html | 387 -
38/streams/core-concepts/index.html | 106 +
38/streams/developer-guide/_print/index.html | 1746 ++++
38/streams/developer-guide/app-reset-tool.html | 203 -
.../developer-guide/app-reset-tool/index.html | 161 +
38/streams/developer-guide/config-streams.html | 1350 ---
.../developer-guide/config-streams/index.html | 284 +
38/streams/developer-guide/datatypes.html | 238 -
38/streams/developer-guide/datatypes/index.html | 141 +
38/streams/developer-guide/dsl-api.html | 3621 --------
38/streams/developer-guide/dsl-api/index.html | 807 ++
.../developer-guide/dsl-topology-naming.html | 350 -
.../developer-guide/dsl-topology-naming/index.html | 200 +
38/streams/developer-guide/index.html | 205 +-
38/streams/developer-guide/index.xml | 26 +
.../developer-guide/interactive-queries.html | 503 --
.../developer-guide/interactive-queries/index.html | 327 +
38/streams/developer-guide/manage-topics.html | 137 -
.../developer-guide/manage-topics/index.html | 115 +
38/streams/developer-guide/memory-mgmt.html | 280 -
38/streams/developer-guide/memory-mgmt/index.html | 167 +
38/streams/developer-guide/processor-api.html | 638 --
.../developer-guide/processor-api/index.html | 217 +
38/streams/developer-guide/running-app.html | 188 -
38/streams/developer-guide/running-app/index.html | 113 +
38/streams/developer-guide/security.html | 190 -
38/streams/developer-guide/security/index.html | 147 +
38/streams/developer-guide/testing.html | 400 -
38/streams/developer-guide/testing/index.html | 311 +
.../developer-guide/write-streams-app/index.html | 160 +
38/streams/developer-guide/write-streams.html | 225 -
38/streams/index.html | 453 +-
38/streams/index.xml | 7 +
38/streams/introduction/index.html | 181 +
38/streams/quickstart.html | 376 -
38/streams/quickstart/index.html | 221 +
38/streams/tutorial.html | 608 --
38/streams/tutorial/index.html | 384 +
38/streams/upgrade-guide.html | 1671 ----
38/streams/upgrade-guide/index.html | 128 +
38/toc.html | 243 -
38/upgrade.html | 2572 ------
38/uses.html | 81 -
39/README.md | 4 -
39/_print/index.html | 9086 +++++++++++++++++++
39/api.html | 110 -
39/apis/_print/index.html | 46 +
39/apis/index.html | 127 +
39/apis/index.xml | 1 +
39/configuration.html | 459 -
39/configuration/_print/index.html | 68 +
39/configuration/admin-configs/index.html | 103 +
39/configuration/broker-configs/index.html | 112 +
.../configuration-providers/index.html | 127 +
39/configuration/consumer-configs/index.html | 103 +
39/configuration/index.html | 100 +
39/configuration/index.xml | 19 +
39/configuration/kafka-connect-configs/index.html | 103 +
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39/configuration/system-properties/index.html | 109 +
39/configuration/tiered-storage-configs/index.html | 103 +
39/configuration/topic-level-configs/index.html | 110 +
39/connect.html | 1057 ---
39/design.html | 681 --
39/design/_print/index.html | 5226 +++++++++++
39/design/design/index.html | 123 +
39/design/index.html | 100 +
39/design/index.xml | 4 +
39/design/protocol/index.html | 5299 ++++++++++++
39/docker.html | 58 -
39/documentation.html | 118 -
39/documentation/index.html | 18 -
39/documentation/streams/architecture.html | 19 -
39/documentation/streams/core-concepts.html | 19 -
.../streams/developer-guide/app-reset-tool.html | 19 -
.../streams/developer-guide/config-streams.html | 19 -
.../streams/developer-guide/datatypes.html | 19 -
.../streams/developer-guide/dsl-api.html | 19 -
.../developer-guide/dsl-topology-naming.html | 19 -
.../streams/developer-guide/index.html | 19 -
.../developer-guide/interactive-queries.html | 19 -
.../streams/developer-guide/manage-topics.html | 19 -
.../streams/developer-guide/memory-mgmt.html | 19 -
.../streams/developer-guide/processor-api.html | 19 -
.../streams/developer-guide/running-app.html | 19 -
.../streams/developer-guide/security.html | 19 -
.../streams/developer-guide/testing.html | 19 -
.../streams/developer-guide/write-streams.html | 19 -
39/documentation/streams/index.html | 19 -
39/documentation/streams/quickstart.html | 19 -
39/documentation/streams/tutorial.html | 19 -
39/documentation/streams/upgrade-guide.html | 19 -
39/ecosystem.html | 18 -
39/getting-started/_print/index.html | 95 +
39/getting-started/docker/index.html | 119 +
39/getting-started/ecosystem/index.html | 103 +
39/getting-started/index.html | 100 +
39/getting-started/index.xml | 11 +
39/getting-started/introduction/index.html | 106 +
39/getting-started/quickstart/index.html | 161 +
39/getting-started/upgrade/index.html | 135 +
39/getting-started/uses/index.html | 107 +
39/images/icons/line.png | Bin
39/images/icons/new-york.png | Bin
39/images/icons/rabobank.png | Bin
39/images/icons/zalando.png | Bin
39/implementation.html | 297 -
39/implementation/_print/index.html | 112 +
39/implementation/distribution/index.html | 103 +
39/implementation/index.html | 100 +
39/implementation/index.xml | 3 +
39/implementation/log/index.html | 119 +
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39/implementation/messages/index.html | 103 +
39/implementation/network-layer/index.html | 102 +
39/index.html | 100 +
39/index.xml | 1 +
39/introduction.html | 220 -
39/js/templateData.js | 24 -
39/kafka-connect/_print/index.html | 334 +
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.../connector-development-guide/index.html | 301 +
39/kafka-connect/index.html | 100 +
39/kafka-connect/index.xml | 5 +
39/kafka-connect/overview/index.html | 102 +
39/kafka-connect/user-guide/index.html | 206 +
39/migration.html | 34 -
39/operations/_print/index.html | 569 ++
39/operations/basic-kafka-operations/index.html | 282 +
39/operations/datacenters/index.html | 103 +
.../index.html | 252 +
39/operations/hardware-and-os/index.html | 111 +
39/operations/index.html | 100 +
39/operations/index.xml | 16 +
39/operations/java-version/index.html | 106 +
39/operations/kafka-configuration/index.html | 117 +
39/operations/kraft/index.html | 239 +
39/operations/monitoring/index.html | 104 +
39/operations/multi-tenancy/index.html | 109 +
39/operations/tiered-storage/index.html | 154 +
39/operations/zookeeper/index.html | 103 +
39/ops.html | 4515 ----------
39/protocol.html | 226 -
39/quickstart.html | 373 -
39/security.html | 2550 ------
39/security/_print/index.html | 520 ++
39/security/authentication-using-sasl/index.html | 352 +
39/security/authorization-and-acls/index.html | 136 +
.../index.html | 248 +
.../index.html | 119 +
39/security/index.html | 100 +
39/security/index.xml | 8 +
39/security/listener-configuration/index.html | 119 +
39/security/security-overview/index.html | 102 +
39/security/zookeeper-authentication/index.html | 133 +
39/security/zookeeper-encryption/index.html | 113 +
39/streams/_print/index.html | 2269 +++++
39/streams/architecture.html | 206 -
39/streams/architecture/index.html | 111 +
39/streams/core-concepts.html | 387 -
39/streams/core-concepts/index.html | 107 +
39/streams/developer-guide/_print/index.html | 1772 ++++
39/streams/developer-guide/app-reset-tool.html | 203 -
.../developer-guide/app-reset-tool/index.html | 162 +
39/streams/developer-guide/config-streams.html | 1423 ---
.../developer-guide/config-streams/index.html | 311 +
39/streams/developer-guide/datatypes.html | 238 -
39/streams/developer-guide/datatypes/index.html | 142 +
39/streams/developer-guide/dsl-api.html | 3621 --------
39/streams/developer-guide/dsl-api/index.html | 808 ++
.../developer-guide/dsl-topology-naming.html | 350 -
.../developer-guide/dsl-topology-naming/index.html | 201 +
39/streams/developer-guide/index.html | 206 +-
39/streams/developer-guide/index.xml | 26 +
.../developer-guide/interactive-queries.html | 503 --
.../developer-guide/interactive-queries/index.html | 328 +
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.../developer-guide/manage-topics/index.html | 116 +
39/streams/developer-guide/memory-mgmt.html | 280 -
39/streams/developer-guide/memory-mgmt/index.html | 168 +
39/streams/developer-guide/processor-api.html | 638 --
.../developer-guide/processor-api/index.html | 218 +
39/streams/developer-guide/running-app.html | 188 -
39/streams/developer-guide/running-app/index.html | 114 +
39/streams/developer-guide/security.html | 190 -
39/streams/developer-guide/security/index.html | 148 +
39/streams/developer-guide/testing.html | 400 -
39/streams/developer-guide/testing/index.html | 312 +
.../developer-guide/write-streams-app/index.html | 161 +
39/streams/developer-guide/write-streams.html | 225 -
39/streams/index.html | 454 +-
39/streams/index.xml | 7 +
39/streams/introduction/index.html | 182 +
39/streams/quickstart.html | 376 -
39/streams/quickstart/index.html | 222 +
39/streams/tutorial.html | 608 --
39/streams/tutorial/index.html | 385 +
39/streams/upgrade-guide.html | 1686 ----
39/streams/upgrade-guide/index.html | 129 +
39/toc.html | 256 -
39/upgrade.html | 2736 ------
39/uses.html | 81 -
40/README.md | 4 -
40/_print/index.html | 8600 ++++++++++++++++++
40/api.html | 110 -
40/apis/_print/index.html | 46 +
40/apis/index.html | 128 +
40/apis/index.xml | 1 +
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40/configuration.html | 427 -
40/configuration/_print/index.html | 64 +
40/configuration/admin-configs/index.html | 104 +
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.../configuration-providers/index.html | 128 +
40/configuration/consumer-configs/index.html | 104 +
40/configuration/index.html | 101 +
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40/configuration/tiered-storage-configs/index.html | 104 +
40/configuration/topic-level-configs/index.html | 111 +
40/connect.html | 1056 ---
40/design.html | 717 --
40/design/_print/index.html | 4380 ++++++++++
40/design/design/index.html | 124 +
40/design/index.html | 101 +
40/design/index.xml | 4 +
40/design/protocol/index.html | 4454 ++++++++++
40/docker.html | 58 -
40/documentation.html | 123 -
40/documentation/compatibility.html | 201 -
40/documentation/index.html | 18 -
40/documentation/streams/architecture.html | 19 -
40/documentation/streams/core-concepts.html | 19 -
.../streams/developer-guide/app-reset-tool.html | 19 -
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.../streams/developer-guide/manage-topics.html | 19 -
.../streams/developer-guide/memory-mgmt.html | 19 -
.../streams/developer-guide/processor-api.html | 19 -
.../streams/developer-guide/running-app.html | 19 -
.../streams/developer-guide/security.html | 19 -
.../streams/developer-guide/testing.html | 19 -
.../streams/developer-guide/write-streams.html | 19 -
40/documentation/streams/index.html | 19 -
40/documentation/streams/quickstart.html | 19 -
40/documentation/streams/tutorial.html | 19 -
40/documentation/streams/upgrade-guide.html | 19 -
40/documentation/zk2kraft.html | 320 -
40/ecosystem.html | 18 -
40/getting-started/_print/index.html | 93 +
40/getting-started/compatibility/index.html | 108 +
40/getting-started/docker/index.html | 120 +
40/getting-started/ecosystem/index.html | 104 +
40/getting-started/index.html | 101 +
40/getting-started/index.xml | 14 +
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40/getting-started/quickstart/index.html | 166 +
40/getting-started/upgrade/index.html | 108 +
40/getting-started/uses/index.html | 108 +
40/getting-started/zk2kraft/index.html | 134 +
40/images/icons/line.png | Bin
40/images/icons/new-york.png | Bin
40/images/icons/rabobank.png | Bin
40/images/icons/zalando.png | Bin
40/implementation.html | 201 -
40/implementation/_print/index.html | 77 +
40/implementation/distribution/index.html | 102 +
40/implementation/index.html | 101 +
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40/implementation/messages/index.html | 104 +
40/implementation/network-layer/index.html | 103 +
40/index.html | 101 +
40/index.xml | 1 +
40/introduction.html | 220 -
40/js/templateData.js | 24 -
40/kafka-connect/_print/index.html | 334 +
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40/kafka-connect/index.html | 101 +
40/kafka-connect/index.xml | 5 +
40/kafka-connect/overview/index.html | 103 +
40/kafka-connect/user-guide/index.html | 207 +
40/operations/_print/index.html | 481 ++
40/operations/basic-kafka-operations/index.html | 283 +
.../consumer-rebalance-protocol/index.html | 104 +
40/operations/datacenters/index.html | 104 +
40/operations/eligible-leader-replicas/index.html | 102 +
.../index.html | 253 +
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40/operations/index.html | 101 +
40/operations/index.xml | 12 +
40/operations/java-version/index.html | 107 +
40/operations/kraft/index.html | 166 +
40/operations/monitoring/index.html | 105 +
40/operations/multi-tenancy/index.html | 110 +
40/operations/tiered-storage/index.html | 157 +
40/operations/transaction-protocol/index.html | 104 +
40/ops.html | 4304 ---------
40/protocol.html | 239 -
40/quickstart.html | 354 -
40/security.html | 2330 -----
40/security/_print/index.html | 463 +
40/security/authentication-using-sasl/index.html | 343 +
40/security/authorization-and-acls/index.html | 132 +
.../index.html | 249 +
.../index.html | 118 +
40/security/index.html | 101 +
40/security/index.xml | 6 +
40/security/listener-configuration/index.html | 120 +
40/security/security-overview/index.html | 103 +
40/streams/_print/index.html | 2815 ++++++
40/streams/architecture.html | 206 -
40/streams/architecture/index.html | 112 +
40/streams/core-concepts.html | 387 -
40/streams/core-concepts/index.html | 108 +
40/streams/developer-guide/_print/index.html | 2320 +++++
40/streams/developer-guide/app-reset-tool.html | 184 -
.../developer-guide/app-reset-tool/index.html | 154 +
40/streams/developer-guide/config-streams.html | 1482 ----
.../developer-guide/config-streams/index.html | 313 +
40/streams/developer-guide/datatypes.html | 236 -
40/streams/developer-guide/datatypes/index.html | 143 +
40/streams/developer-guide/dsl-api.html | 4389 ----------
40/streams/developer-guide/dsl-api/index.html | 1377 +++
.../developer-guide/dsl-topology-naming.html | 350 -
.../developer-guide/dsl-topology-naming/index.html | 202 +
40/streams/developer-guide/index.html | 207 +-
40/streams/developer-guide/index.xml | 26 +
.../developer-guide/interactive-queries.html | 503 --
.../developer-guide/interactive-queries/index.html | 329 +
40/streams/developer-guide/manage-topics.html | 135 -
.../developer-guide/manage-topics/index.html | 115 +
40/streams/developer-guide/memory-mgmt.html | 280 -
40/streams/developer-guide/memory-mgmt/index.html | 169 +
40/streams/developer-guide/processor-api.html | 628 --
.../developer-guide/processor-api/index.html | 214 +
40/streams/developer-guide/running-app.html | 188 -
40/streams/developer-guide/running-app/index.html | 115 +
40/streams/developer-guide/security.html | 190 -
40/streams/developer-guide/security/index.html | 149 +
40/streams/developer-guide/testing.html | 396 -
40/streams/developer-guide/testing/index.html | 309 +
.../developer-guide/write-streams-app/index.html | 161 +
40/streams/developer-guide/write-streams.html | 224 -
40/streams/index.html | 456 +-
40/streams/index.xml | 7 +
40/streams/introduction/index.html | 183 +
40/streams/quickstart.html | 352 -
40/streams/quickstart/index.html | 221 +
40/streams/tutorial.html | 608 --
40/streams/tutorial/index.html | 386 +
40/streams/upgrade-guide.html | 1797 ----
40/streams/upgrade-guide/index.html | 130 +
40/toc.html | 234 -
40/upgrade.html | 444 -
40/uses.html | 81 -
40/zk2kraft-summary.html | 27 -
404.html | 18 +
41/README.md | 4 -
41/_print/index.html | 9119 ++++++++++++++++++++
41/api.html | 124 -
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41/apis/index.xml | 1 +
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41/configuration/topic-configs/index.html | 110 +
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41/design.html | 764 --
41/design/_print/index.html | 4757 ++++++++++
41/design/design/index.html | 123 +
41/design/index.html | 100 +
41/design/index.xml | 4 +
41/design/protocol/index.html | 4830 +++++++++++
41/docker.html | 58 -
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41/documentation/compatibility.html | 201 -
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.../developer-guide/dsl-topology-naming.html | 19 -
.../streams/developer-guide/index.html | 19 -
.../developer-guide/interactive-queries.html | 19 -
.../streams/developer-guide/manage-topics.html | 19 -
.../streams/developer-guide/memory-mgmt.html | 19 -
.../streams/developer-guide/processor-api.html | 19 -
.../streams/developer-guide/running-app.html | 19 -
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.../streams/developer-guide/testing.html | 19 -
.../streams/developer-guide/write-streams.html | 19 -
41/documentation/streams/index.html | 19 -
41/documentation/streams/quickstart.html | 19 -
41/documentation/streams/tutorial.html | 19 -
41/documentation/streams/upgrade-guide.html | 19 -
41/documentation/zk2kraft.html | 320 -
41/ecosystem.html | 18 -
41/getting-started/_print/index.html | 93 +
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41/getting-started/docker/index.html | 119 +
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41/getting-started/index.html | 100 +
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41/getting-started/uses/index.html | 107 +
41/getting-started/zk2kraft/index.html | 133 +
41/images/icons/line.png | Bin
41/images/icons/new-york.png | Bin
41/images/icons/rabobank.png | Bin
41/images/icons/zalando.png | Bin
41/implementation.html | 201 -
41/implementation/_print/index.html | 77 +
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41/implementation/network-layer/index.html | 102 +
41/index.html | 100 +
41/index.xml | 1 +
41/introduction.html | 220 -
41/js/templateData.js | 24 -
41/kafka-connect/_print/index.html | 334 +
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.../connector-development-guide/index.html | 301 +
41/kafka-connect/index.html | 100 +
41/kafka-connect/index.xml | 5 +
41/kafka-connect/overview/index.html | 102 +
41/kafka-connect/user-guide/index.html | 206 +
41/operations/_print/index.html | 516 ++
41/operations/basic-kafka-operations/index.html | 307 +
.../consumer-rebalance-protocol/index.html | 103 +
41/operations/datacenters/index.html | 103 +
41/operations/eligible-leader-replicas/index.html | 101 +
.../index.html | 254 +
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41/operations/index.xml | 12 +
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41/operations/kraft/index.html | 173 +
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41/operations/multi-tenancy/index.html | 109 +
41/operations/tiered-storage/index.html | 156 +
41/operations/transaction-protocol/index.html | 103 +
41/ops.html | 4497 ----------
41/protocol.html | 239 -
41/quickstart.html | 354 -
41/security.html | 2494 ------
41/security/_print/index.html | 527 ++
41/security/authentication-using-sasl/index.html | 406 +
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+<!doctype html><html itemscope itemtype=http://schema.org/WebPage lang=en class=no-js><head><meta charset=utf-8><meta name=viewport content="width=device-width,initial-scale=1,shrink-to-fit=no"><link rel=canonical type=text/html href=https://kafka.staged.apache.org/0100/><link rel=alternate type=application/rss+xml href=https://kafka.staged.apache.org/0100/index.xml><meta name=robots content="noindex, nofollow"><link rel=icon type=image/png sizes=32x32 href=/images/apache.png><link rel=i [...]
+<meta name=description content="Documentation for AK 0.10.0.X"><meta property="og:title" content="AK 0.10.0.X"><meta property="og:description" content="Documentation for AK 0.10.0.X"><meta property="og:type" content="website"><meta property="og:url" content="https://kafka.staged.apache.org/0100/"><meta itemprop=name content="AK 0.10.0.X"><meta itemprop=description content="Documentation for AK 0.10.0.X"><meta name=twitter:card content="summary"><meta name=twitter:title content="AK 0.10.0 [...]
+<span></span>
+<span></span></div></button>
+<a class="navbar-brand order-1 order-lg-0 mx-auto mx-lg-0" href=/><img src=/logos/kafka_logo--simple.png alt="Apache Kafka" class=navbar-logo-img></a><div class="order-2 d-lg-none" style=width:48px></div><div class="collapse navbar-collapse order-3 order-lg-1" id=main_navbar><ul class="navbar-nav ms-auto"><li class="nav-item dropdown"><a class="nav-link dropdown-toggle" href=/41/getting-started/ aria-haspopup=true aria-expanded=false>Get Started</a><ul class=dropdown-menu><li><a class=dr [...]
+<i class="fas fa-search"></i></button><div class=search-input-wrapper id=searchInputWrapper><div class="td-search td-search--offline"><div class=td-search__icon></div><input type=search class="td-search__input form-control" placeholder="Search this site…" aria-label="Search this site…" autocomplete=off data-offline-search-index-json-src=/offline-search-index.c029fff502ba0ddfbda6398cf06cdb6f.json data-offline-search-base-href=/ data-offline-search-max-results=10></div></div></div></div></ [...]
+<a href=# onclick="return print(),!1">Click here to print</a>.</p><p><a href=/0100/>Return to the regular view of this page</a>.</p></div><h1 class=title>AK 0.10.0.X</h1><div class=lead>Documentation for AK 0.10.0.X</div><ul><li>1: <a href=#pg-961081b75dc1eb5b23ea76e11d41c0f1>Getting Started</a></li><ul><li>1.1: <a href=#pg-528a3cfb4a88277132b40879bed049fd>Introduction</a></li><li>1.2: <a href=#pg-7783c6decb368893d9a39c9d57b7e9c8>Use Cases</a></li><li>1.3: <a href=#pg-2fdb14f3884ceebbeec [...]
+<img src=images/kafka-apis.png></li></ul><p>In Kafka the communication between the clients and the servers is done with a simple, high-performance, language agnostic <a href=/protocol.html>TCP protocol</a>. This protocol is versioned and maintains backwards compatibility with older versions. We provide a Java client for Kafka, but clients are available in <a href=https://cwiki.apache.org/confluence/display/KAFKA/Clients>many languages</a>.</p><h2 id=topics-and-logs>Topics and Logs<a clas [...]
+> **cd kafka_2.11-0.10.0.0**
+</code></pre><h2 id=step-2-start-the-server>Step 2: Start the server<a class=td-heading-self-link href=#step-2-start-the-server aria-label="Heading self-link"></a></h2><p>Kafka uses ZooKeeper so you need to first start a ZooKeeper server if you don’t already have one. You can use the convenience script packaged with kafka to get a quick-and-dirty single-node ZooKeeper instance.</p><pre><code>> **bin/zookeeper-server-start.sh config/zookeeper.properties**
+[2013-04-22 15:01:37,495] INFO Reading configuration from: config/zookeeper.properties (org.apache.zookeeper.server.quorum.QuorumPeerConfig)
+...
+</code></pre><p>Now start the Kafka server:</p><pre><code>> **bin/kafka-server-start.sh config/server.properties**
+[2013-04-22 15:01:47,028] INFO Verifying properties (kafka.utils.VerifiableProperties)
+[2013-04-22 15:01:47,051] INFO Property socket.send.buffer.bytes is overridden to 1048576 (kafka.utils.VerifiableProperties)
+...
+</code></pre><h2 id=step-3-create-a-topic>Step 3: Create a topic<a class=td-heading-self-link href=#step-3-create-a-topic aria-label="Heading self-link"></a></h2><p>Let’s create a topic named “test” with a single partition and only one replica:</p><pre><code>> **bin/kafka-topics.sh --create --zookeeper localhost:2181 --replication-factor 1 --partitions 1 --topic test**
+</code></pre><p>We can now see that topic if we run the list topic command:</p><pre><code>> **bin/kafka-topics.sh --list --zookeeper localhost:2181**
+test
+</code></pre><p>Alternatively, instead of manually creating topics you can also configure your brokers to auto-create topics when a non-existent topic is published to.</p><h2 id=step-4-send-some-messages>Step 4: Send some messages<a class=td-heading-self-link href=#step-4-send-some-messages aria-label="Heading self-link"></a></h2><p>Kafka comes with a command line client that will take input from a file or from standard input and send it out as messages to the Kafka cluster. By default e [...]
+**This is a message**
+**This is another message**
+</code></pre><h2 id=step-5-start-a-consumer>Step 5: Start a consumer<a class=td-heading-self-link href=#step-5-start-a-consumer aria-label="Heading self-link"></a></h2><p>Kafka also has a command line consumer that will dump out messages to standard output.</p><pre><code>> **bin/kafka-console-consumer.sh --zookeeper localhost:2181 --topic test --from-beginning**
+This is a message
+This is another message
+</code></pre><p>If you have each of the above commands running in a different terminal then you should now be able to type messages into the producer terminal and see them appear in the consumer terminal.</p><p>All of the command line tools have additional options; running the command with no arguments will display usage information documenting them in more detail.</p><h2 id=step-6-setting-up-a-multi-broker-cluster>Step 6: Setting up a multi-broker cluster<a class=td-heading-self-link hr [...]
+> **cp config/server.properties config/server-2.properties**
+</code></pre><p>Now edit these new files and set the following properties:</p><pre><code>config/server-1.properties:
+ broker.id=1
+ listeners=PLAINTEXT://:9093
+ log.dir=/tmp/kafka-logs-1
+
+config/server-2.properties:
+ broker.id=2
+ listeners=PLAINTEXT://:9094
+ log.dir=/tmp/kafka-logs-2
+</code></pre><p>The <code>broker.id</code> property is the unique and permanent name of each node in the cluster. We have to override the port and log directory only because we are running these all on the same machine and we want to keep the brokers from all trying to register on the same port or overwrite each others data.</p><p>We already have Zookeeper and our single node started, so we just need to start the two new nodes:</p><pre><code>> **bin/kafka-server-start.sh config/server [...]
+...
+> **bin/kafka-server-start.sh config/server-2.properties &**
+...
+</code></pre><p>Now create a new topic with a replication factor of three:</p><pre><code>> **bin/kafka-topics.sh --create --zookeeper localhost:2181 --replication-factor 3 --partitions 1 --topic my-replicated-topic**
+</code></pre><p>Okay but now that we have a cluster how can we know which broker is doing what? To see that run the “describe topics” command:</p><pre><code>> **bin/kafka-topics.sh --describe --zookeeper localhost:2181 --topic my-replicated-topic**
+Topic:my-replicated-topic PartitionCount:1 ReplicationFactor:3 Configs:
+ Topic: my-replicated-topic Partition: 0 Leader: 1 Replicas: 1,2,0 Isr: 1,2,0
+</code></pre><p>Here is an explanation of output. The first line gives a summary of all the partitions, each additional line gives information about one partition. Since we have only one partition for this topic there is only one line.</p><ul><li>“leader” is the node responsible for all reads and writes for the given partition. Each node will be the leader for a randomly selected portion of the partitions.</li><li>“replicas” is the list of nodes that replicate the [...]
+Note that in my example node 1 is the leader for the only partition of the topic.</li></ul><p>We can run the same command on the original topic we created to see where it is:</p><pre><code>> **bin/kafka-topics.sh --describe --zookeeper localhost:2181 --topic test**
+Topic:test PartitionCount:1 ReplicationFactor:1 Configs:
+ Topic: test Partition: 0 Leader: 0 Replicas: 0 Isr: 0
+</code></pre><p>So there is no surprise there–the original topic has no replicas and is on server 0, the only server in our cluster when we created it.</p><p>Let’s publish a few messages to our new topic:</p><pre><code>> **bin/kafka-console-producer.sh --broker-list localhost:9092 --topic my-replicated-topic**
+...
+**my test message 1**
+**my test message 2**
+**^C**
+</code></pre><p>Now let’s consume these messages:</p><pre><code>> **bin/kafka-console-consumer.sh --zookeeper localhost:2181 --from-beginning --topic my-replicated-topic**
+...
+my test message 1
+my test message 2
+**^C**
+</code></pre><p>Now let’s test out fault-tolerance. Broker 1 was acting as the leader so let’s kill it:</p><pre><code>> **ps | grep server-1.properties**
+_7564_ ttys002 0:15.91 /System/Library/Frameworks/JavaVM.framework/Versions/1.8/Home/bin/java...
+> **kill -9 7564**
+</code></pre><p>Leadership has switched to one of the slaves and node 1 is no longer in the in-sync replica set:</p><pre><code>> **bin/kafka-topics.sh --describe --zookeeper localhost:2181 --topic my-replicated-topic**
+Topic:my-replicated-topic PartitionCount:1 ReplicationFactor:3 Configs:
+ Topic: my-replicated-topic Partition: 0 Leader: 2 Replicas: 1,2,0 Isr: 2,0
+</code></pre><p>But the messages are still be available for consumption even though the leader that took the writes originally is down:</p><pre><code>> **bin/kafka-console-consumer.sh --zookeeper localhost:2181 --from-beginning --topic my-replicated-topic**
+...
+my test message 1
+my test message 2
+**^C**
+</code></pre><h2 id=step-7-use-kafka-connect-to-importexport-data>Step 7: Use Kafka Connect to import/export data<a class=td-heading-self-link href=#step-7-use-kafka-connect-to-importexport-data aria-label="Heading self-link"></a></h2><p>Writing data from the console and writing it back to the console is a convenient place to start, but you’ll probably want to use data from other sources or export data from Kafka to other systems. For many systems, instead of writing custom integra [...]
+</code></pre><p>Next, we’ll start two connectors running in <em>standalone</em> mode, which means they run in a single, local, dedicated process. We provide three configuration files as parameters. The first is always the configuration for the Kafka Connect process, containing common configuration such as the Kafka brokers to connect to and the serialization format for data. The remaining configuration files each specify a connector to create. These files include a unique connector [...]
+</code></pre><p>These sample configuration files, included with Kafka, use the default local cluster configuration you started earlier and create two connectors: the first is a source connector that reads lines from an input file and produces each to a Kafka topic and the second is a sink connector that reads messages from a Kafka topic and produces each as a line in an output file. During startup you’ll see a number of log messages, including some indicating that the connectors ar [...]
+</code></pre><p>and producing them to the topic</p><pre><code>connect-test
+</code></pre><p>, and the sink connector should start reading messages from the topic</p><pre><code>connect-test
+</code></pre><p>and write them to the file</p><pre><code>test.sink.txt
+</code></pre><p>. We can verify the data has been delivered through the entire pipeline by examining the contents of the output file:</p><pre><code>> **cat test.sink.txt**
+foo
+bar
+</code></pre><p>Note that the data is being stored in the Kafka topic</p><pre><code>connect-test
+</code></pre><p>, so we can also run a console consumer to see the data in the topic (or use custom consumer code to process it):</p><pre><code>> **bin/kafka-console-consumer.sh --zookeeper localhost:2181 --topic connect-test --from-beginning**
+{"schema":{"type":"string","optional":false},"payload":"foo"}
+{"schema":{"type":"string","optional":false},"payload":"bar"}
+...
+</code></pre><p>The connectors continue to process data, so we can add data to the file and see it move through the pipeline:</p><pre><code>> **echo "Another line" >> test.txt**
+</code></pre><p>You should see the line appear in the console consumer output and in the sink file.</p><h2 id=step-8-use-kafka-streams-to-process-data>Step 8: Use Kafka Streams to process data<a class=td-heading-self-link href=#step-8-use-kafka-streams-to-process-data aria-label="Heading self-link"></a></h2><p>Kafka Streams is a client library of Kafka for real-time stream processing and analyzing data stored in Kafka brokers. This quickstart example will demonstrate how to run a streami [...]
+ // Split each text line, by whitespace, into words.
+ .flatMapValues(value -> Arrays.asList(value.toLowerCase().split("\\W+")))
+
+ // Ensure the words are available as record keys for the next aggregate operation.
+ .map((key, value) -> new KeyValue<>(value, value))
+
+ // Count the occurrences of each word (record key) and store the results into a table named "Counts".
+ .countByKey("Counts")
+</code></pre><p>It implements the WordCount algorithm, which computes a word occurrence histogram from the input text. However, unlike other WordCount examples you might have seen before that operate on bounded data, the WordCount demo application behaves slightly differently because it is designed to operate on an <strong>infinite, unbounded stream</strong> of data. Similar to the bounded variant, it is a stateful algorithm that tracks and updates the counts of words. However, since it [...]
+</code></pre><p>Next, we send this input data to the input topic named <strong>streams-file-input</strong> using the console producer (in practice, stream data will likely be flowing continuously into Kafka where the application will be up and running):</p><pre><code>> **bin/kafka-topics.sh --create \**
+ **--zookeeper localhost:2181 \**
+ **--replication-factor 1 \**
+ **--partitions 1 \**
+ **--topic streams-file-input**
+
+
+
+> **cat file-input.txt | bin/kafka-console-producer.sh --broker-list localhost:9092 --topic streams-file-input**
+</code></pre><p>We can now run the WordCount demo application to process the input data:</p><pre><code>> **bin/kafka-run-class.sh org.apache.kafka.streams.examples.wordcount.WordCountDemo**
+</code></pre><p>There won’t be any STDOUT output except log entries as the results are continuously written back into another topic named <strong>streams-wordcount-output</strong> in Kafka. The demo will run for a few seconds and then, unlike typical stream processing applications, terminate automatically.</p><p>We can now inspect the output of the WordCount demo application by reading from its output topic:</p><pre><code>> **bin/kafka-console-consumer.sh --zookeeper localhost:2181 \**
+ **--topic streams-wordcount-output \**
+ **--from-beginning \**
+ **--formatter kafka.tools.DefaultMessageFormatter \**
+ **--property print.key=true \**
+ **--property print.value=true \**
+ **--property key.deserializer=org.apache.kafka.common.serialization.StringDeserializer \**
+ **--property value.deserializer=org.apache.kafka.common.serialization.LongDeserializer**
+</code></pre><p>with the following output data being printed to the console:</p><pre><code>all 1
+streams 1
+lead 1
+to 1
+kafka 1
+hello 1
+kafka 2
+streams 2
+join 1
+kafka 3
+summit 1
+</code></pre><p>Here, the first column is the Kafka message key, and the second column is the message value, both in in <code>java.lang.String</code> format. Note that the output is actually a continuous stream of updates, where each data record (i.e. each line in the original output above) is an updated count of a single word, aka record key such as “kafka”. For multiple records with the same key, each later record is an update of the previous one.</p><p>Now you can write mo [...]
+Kafka exposes all its functionality over a language independent protocol which has clients available in many programming languages. However only the Java clients are maintained as part of the main Kafka project, the others are available as independent open source projects. A list of non-Java clients is available <a href=https://cwiki.apache.org/confluence/display/KAFKA/Clients>here</a>.</li></ol><h1 id=producer-api>Producer API<a class=td-heading-self-link href=#producer-api aria-label=" [...]
+ <groupId>org.apache.kafka</groupId>
+ <artifactId>kafka-clients</artifactId>
+ <version>0.10.0.0</version>
+ </dependency>
+</code></pre><h1 id=consumer-api>Consumer API<a class=td-heading-self-link href=#consumer-api aria-label="Heading self-link"></a></h1><p>The Consumer API allows applications to read streams of data from topics in the Kafka cluster.</p><p>Examples showing how to use the consumer are given in the <a href=/0100/javadoc/index.html?org/apache/kafka/clients/consumer/KafkaConsumer.html title="Kafka 0.10.0 Javadoc">javadocs</a>.</p><p>To use the consumer, you can use the following maven dependen [...]
+ <groupId>org.apache.kafka</groupId>
+ <artifactId>kafka-clients</artifactId>
+ <version>0.10.0.0</version>
+ </dependency>
+</code></pre><h1 id=streams-api>Streams API<a class=td-heading-self-link href=#streams-api aria-label="Heading self-link"></a></h1><p>The Streams API allows transforming streams of data from input topics to output topics.</p><p>Examples showing how to use this library are given in the <a href=/0100/javadoc/index.html?org/apache/kafka/streams/KafkaStreams.html title="Kafka 0.10.0 Javadoc">javadocs</a></p><p>Additional documentation on using the Streams API is available <a href=/documentat [...]
+ <groupId>org.apache.kafka</groupId>
+ <artifactId>kafka-streams</artifactId>
+ <version>0.10.0.0</version>
+ </dependency>
+</code></pre><h1 id=connect-api>Connect API<a class=td-heading-self-link href=#connect-api aria-label="Heading self-link"></a></h1><p>The Connect API allows implementing connectors that continually pull from some source data system into Kafka or push from Kafka into some sink data system.</p><p>Many users of Connect won’t need to use this API directly, though, they can use pre-built connectors without needing to write any code. Additional information on using Connect is available < [...]
+Topic-level configurations and defaults are discussed in more detail below.<table class=data-table><tbody><tr><th>Name</th><th>Description</th><th>Type</th><th>Default</th><th>Valid Values</th><th>Importance</th></tr><tr><td>zookeeper.connect</td><td>Zookeeper host string</td><td>string</td><td></td><td></td><td>high</td></tr><tr><td>advertised.host.name</td><td>DEPRECATED: only used when `advertised.listeners` or `listeners` are not set. Use `advertised.listeners` instead.
+Hostname to publish to ZooKeeper for clients to use. In IaaS environments, this may need to be different from the interface to which the broker binds. If this is not set, it will use the value for `host.name` if configured. Otherwise it will use the value returned from java.net.InetAddress.getCanonicalHostName().</td><td>string</td><td>null</td><td></td><td>high</td></tr><tr><td>advertised.listeners</td><td>Listeners to publish to ZooKeeper for clients to use, if different than the liste [...]
+The port to publish to ZooKeeper for clients to use. In IaaS environments, this may need to be different from the port to which the broker binds. If this is not set, it will publish the same port that the broker binds to.</td><td>int</td><td>null</td><td></td><td>high</td></tr><tr><td>auto.create.topics.enable</td><td>Enable auto creation of topic on the server</td><td>boolean</td><td>true</td><td></td><td>high</td></tr><tr><td>auto.leader.rebalance.enable</td><td>Enables auto leader bal [...]
+hostname of broker. If this is set, it will only bind to this address. If this is not set, it will bind to all interfaces</td><td>string</td><td>""</td><td></td><td>high</td></tr><tr><td>leader.imbalance.check.interval.seconds</td><td>The frequency with which the partition rebalance check is triggered by the controller</td><td>long</td><td>300</td><td></td><td>high</td></tr><tr><td>leader.imbalance.per.broker.percentage</td><td>The ratio of leader imbalance allowed per broker. The contro [...]
+Specify hostname as 0.0.0.0 to bind to all interfaces.
+Leave hostname empty to bind to default interface.
+Examples of legal listener lists:
+PLAINTEXT://myhost:9092,SSL://:9091
+CLIENT://0.0.0.0:9092,REPLICATION://localhost:9093</td><td>string</td><td>null</td><td></td><td>high</td></tr><tr><td>log.dir</td><td>The directory in which the log data is kept (supplemental for log.dirs property)</td><td>string</td><td>/tmp/kafka-logs</td><td></td><td>high</td></tr><tr><td>log.dirs</td><td>The directories in which the log data is kept. If not set, the value in log.dir is used</td><td>string</td><td>null</td><td></td><td>high</td></tr><tr><td>log.flush.interval.messages [...]
+the port to listen and accept connections on</td><td>int</td><td>9092</td><td></td><td>high</td></tr><tr><td>queued.max.requests</td><td>The number of queued requests allowed before blocking the network threads</td><td>int</td><td>500</td><td>[1,...]</td><td>high</td></tr><tr><td>quota.consumer.default</td><td>DEPRECATED: Used only when dynamic default quotas are not configured for <user, <client-id>or <user, client-id>in Zookeeper. Any consumer distinguished by clientId/consumer group w [...]
+This is typically bumped after all brokers were upgraded to a new version.
+Example of some valid values are: 0.8.0, 0.8.1, 0.8.1.1, 0.8.2, 0.8.2.0, 0.8.2.1, 0.9.0.0, 0.9.0.1 Check ApiVersion for the full list.</td><td>string</td><td>0.11.0-IV2</td><td></td><td>medium</td></tr><tr><td>log.cleaner.backoff.ms</td><td>The amount of time to sleep when there are no logs to clean</td><td>long</td><td>15000</td><td>[0,...]</td><td>medium</td></tr><tr><td>log.cleaner.dedupe.buffer.size</td><td>The total memory used for log deduplication across all cleaner threads</td><t [...]
+ --replication-factor 1 --config max.message.bytes=64000 --config flush.messages=1**
+</code></pre><p>Overrides can also be changed or set later using the alter topic command. This example updates the max message size for <em>my-topic</em> :</p><pre><code>** > bin/kafka-topics.sh --zookeeper localhost:2181 --alter --topic my-topic
+ --config max.message.bytes=128000**
+</code></pre><p>To remove an override you can do</p><pre><code>** > bin/kafka-topics.sh --zookeeper localhost:2181 --alter --topic my-topic
+ --delete-config max.message.bytes**
+</code></pre><table><thead><tr><th>The following are the topic-level configurations. The server’s default configuration for this property is given under the Server Default Property heading, setting this default in the server config allows you to change the default given to topics that have no override specified. Property</th><th>Default</th><th>Server Default Property</th><th>Description</th></tr></thead><tbody><tr><td>cleanup.policy</td><td>delete</td><td>log.cleanup.policy</td><t [...]
+a) directories immediately containing jars with plugins and their dependencies
+b) uber-jars with plugins and their dependencies
+c) directories immediately containing the package directory structure of classes of plugins and their dependencies
+Note: symlinks will be followed to discover dependencies or plugins.
+Examples: plugin.path=/usr/local/share/java,/usr/local/share/kafka/plugins,/opt/connectors</td><td>list</td><td>null</td><td></td><td>low</td></tr><tr><td>reconnect.backoff.max.ms</td><td>The maximum amount of time in milliseconds to wait when reconnectng to a broker that has repeatedly failed to connect. If provided, the backoff per host will increase exponentially for each consecutive connection failure, up to this maximum. After calculating the backoff increase, 20% random jitter is a [...]
+We refer to nodes satisfying these two conditions as being “in sync” to avoid the vagueness of “alive” or “failed”. The leader keeps track of the set of “in sync” nodes. If a follower dies, gets stuck, or falls behind, the leader will remove it from the list of in sync replicas. The determination of stuck and lagging replicas is controlled by the replica.lag.time.max.ms configuration.</li></ol><p>In distributed systems terminology we only a [...]
+ .
+ .
+ .
+ 123 => bill@gatesfoundation.org
+ .
+ .
+ .
+ 123 => bill@gmail.com
+</code></pre><p>Log compaction gives us a more granular retention mechanism so that we are guaranteed to retain at least the last update for each primary key (e.g. <code>bill@gmail.com</code>). By doing this we guarantee that the log contains a full snapshot of the final value for every key not just keys that changed recently. This means downstream consumers can restore their own state off this topic without us having to retain a complete log of all changes.</p><p>Let’s start by lo [...]
+In each of these cases one needs primarily to handle the real-time feed of changes, but occasionally, when a machine crashes or data needs to be re-loaded or re-processed, one needs to do a full load. Log compaction allows feeding both of these use cases off the same backing topic. This style of usage of a log is described in more detail in <a href=http://engineering.linkedin.com/distributed-systems/log-what-every-software-engineer-should-know-about-real-time-datas-unifying>this blog pos [...]
+</code></pre><p>This will start the pool of cleaner threads. To enable log cleaning on a particular topic you can add the log-specific property</p><pre><code> log.cleanup.policy=compact
+</code></pre><p>This can be done either at topic creation time or using the alter topic command.</p><p>Further cleaner configurations are described <a href=/documentation.html#brokerconfigs>here</a>.</p><h3 id=log-compaction-limitations>Log Compaction Limitations<a class=td-heading-self-link href=#log-compaction-limitations aria-label="Heading self-link"></a></h3><ol><li>You cannot configure yet how much log is retained without compaction (the “head” of the log). Currently al [...]
+ Size => int32
+</code></pre><table><thead><tr><th>Field</th><th>Description</th></tr></thead><tbody><tr><td>message_size</td><td>The message_size field gives the size of the subsequent request or response message in bytes. The client can read requests by first reading this 4 byte size as an integer N, and then reading and parsing the subsequent N bytes of the request.</td></tr></tbody></table><h4 id=message-sets>Message Sets<a class=td-heading-self-link href=#message-sets aria-label="Heading self-link" [...]
+ api_key => INT16
+ api_version => INT16
+ correlation_id => INT32
+ client_id => NULLABLE_STRING
+</code></pre><table class=data-table><tbody><tr><th>Field</th><th>Description</th></tr><tr><td>api_key</td><td>The id of the request type.</td></tr><tr><td>api_version</td><td>The version of the API.</td></tr><tr><td>correlation_id</td><td>A user-supplied integer value that will be passed back with the response</td></tr><tr><td>client_id</td><td>A user specified identifier for the client making the request.</td></tr></table><pre class=line-numbers><code class=language-java>Response Heade [...]
+ correlation_id => INT32
+</code></pre><table class=data-table><tbody><tr><th>Field</th><th>Description</th></tr><tr><td>correlation_id</td><td>The user-supplied value passed in with the request</td></tr></table><h5><a name=The_Messages_Produce>Produce API (Key: 0):</a></h5><b>Requests:</b><br><p><pre class=line-numbers><code class=language-java>Produce Request (Version: 0) => acks timeout [topic_data]
+ acks => INT16
+ timeout => INT32
+ topic_data => topic [data]
+ topic => STRING
+ data => partition record_set
+ partition => INT32
+ record_set => RECORDS
+</code></pre><table class=data-table><tbody><tr><th>Field</th><th>Description</th></tr><tr><td>acks</td><td>The number of acknowledgments the producer requires the leader to have received before considering a request complete. Allowed values: 0 for no acknowledgments, 1 for only the leader and -1 for the full ISR.</td></tr><tr><td>timeout</td><td>The time to await a response in ms.</td></tr><tr><td>topic_data</td><td></td></tr><tr><td>topic</td><td></td></tr><tr><td>data</td><td></td></t [...]
+ acks => INT16
+ timeout => INT32
+ topic_data => topic [data]
+ topic => STRING
+ data => partition record_set
+ partition => INT32
+ record_set => RECORDS
+</code></pre><table class=data-table><tbody><tr><th>Field</th><th>Description</th></tr><tr><td>acks</td><td>The number of acknowledgments the producer requires the leader to have received before considering a request complete. Allowed values: 0 for no acknowledgments, 1 for only the leader and -1 for the full ISR.</td></tr><tr><td>timeout</td><td>The time to await a response in ms.</td></tr><tr><td>topic_data</td><td></td></tr><tr><td>topic</td><td></td></tr><tr><td>data</td><td></td></t [...]
+ acks => INT16
+ timeout => INT32
+ topic_data => topic [data]
+ topic => STRING
+ data => partition record_set
+ partition => INT32
+ record_set => RECORDS
+</code></pre><table class=data-table><tbody><tr><th>Field</th><th>Description</th></tr><tr><td>acks</td><td>The number of acknowledgments the producer requires the leader to have received before considering a request complete. Allowed values: 0 for no acknowledgments, 1 for only the leader and -1 for the full ISR.</td></tr><tr><td>timeout</td><td>The time to await a response in ms.</td></tr><tr><td>topic_data</td><td></td></tr><tr><td>topic</td><td></td></tr><tr><td>data</td><td></td></t [...]
+ transactional_id => NULLABLE_STRING
+ acks => INT16
+ timeout => INT32
+ topic_data => topic [data]
+ topic => STRING
+ data => partition record_set
+ partition => INT32
+ record_set => RECORDS
+</code></pre><table class=data-table><tbody><tr><th>Field</th><th>Description</th></tr><tr><td>transactional_id</td><td>The transactional ID of the producer. This is used to authorize transaction produce requests. This can be null for non-transactional producers.</td></tr><tr><td>acks</td><td>The number of acknowledgments the producer requires the leader to have received before considering a request complete. Allowed values: 0 for no acknowledgments, 1 for only the leader and -1 for the [...]
+ responses => topic [partition_responses]
+ topic => STRING
+ partition_responses => partition error_code base_offset
+ partition => INT32
+ error_code => INT16
+ base_offset => INT64
+</code></pre><table class=data-table><tbody><tr><th>Field</th><th>Description</th></tr><tr><td>responses</td><td></td></tr><tr><td>topic</td><td></td></tr><tr><td>partition_responses</td><td></td></tr><tr><td>partition</td><td></td></tr><tr><td>error_code</td><td></td></tr><tr><td>base_offset</td><td></td></tr></table></p><p><pre class=line-numbers><code class=language-java>Produce Response (Version: 1) => [responses] throttle_time_ms
+ responses => topic [partition_responses]
+ topic => STRING
+ partition_responses => partition error_code base_offset
+ partition => INT32
+ error_code => INT16
+ base_offset => INT64
+ throttle_time_ms => INT32
+</code></pre><table class=data-table><tbody><tr><th>Field</th><th>Description</th></tr><tr><td>responses</td><td></td></tr><tr><td>topic</td><td></td></tr><tr><td>partition_responses</td><td></td></tr><tr><td>partition</td><td></td></tr><tr><td>error_code</td><td></td></tr><tr><td>base_offset</td><td></td></tr><tr><td>throttle_time_ms</td><td>Duration in milliseconds for which the request was throttled due to quota violation. (Zero if the request did not violate any quota.)</td></tr></ta [...]
+ responses => topic [partition_responses]
+ topic => STRING
+ partition_responses => partition error_code base_offset log_append_time
+ partition => INT32
+ error_code => INT16
+ base_offset => INT64
+ log_append_time => INT64
+ throttle_time_ms => INT32
+</code></pre><table class=data-table><tbody><tr><th>Field</th><th>Description</th></tr><tr><td>responses</td><td></td></tr><tr><td>topic</td><td></td></tr><tr><td>partition_responses</td><td></td></tr><tr><td>partition</td><td></td></tr><tr><td>error_code</td><td></td></tr><tr><td>base_offset</td><td></td></tr><tr><td>log_append_time</td><td>The timestamp returned by broker after appending the messages. If CreateTime is used for the topic, the timestamp will be -1. If LogAppendTime is us [...]
+ responses => topic [partition_responses]
+ topic => STRING
+ partition_responses => partition error_code base_offset log_append_time
+ partition => INT32
+ error_code => INT16
+ base_offset => INT64
+ log_append_time => INT64
+ throttle_time_ms => INT32
+</code></pre><table class=data-table><tbody><tr><th>Field</th><th>Description</th></tr><tr><td>responses</td><td></td></tr><tr><td>topic</td><td></td></tr><tr><td>partition_responses</td><td></td></tr><tr><td>partition</td><td></td></tr><tr><td>error_code</td><td></td></tr><tr><td>base_offset</td><td></td></tr><tr><td>log_append_time</td><td>The timestamp returned by broker after appending the messages. If CreateTime is used for the topic, the timestamp will be -1. If LogAppendTime is us [...]
+ replica_id => INT32
+ max_wait_time => INT32
+ min_bytes => INT32
+ topics => topic [partitions]
+ topic => STRING
+ partitions => partition fetch_offset max_bytes
+ partition => INT32
+ fetch_offset => INT64
+ max_bytes => INT32
+</code></pre><table class=data-table><tbody><tr><th>Field</th><th>Description</th></tr><tr><td>replica_id</td><td>Broker id of the follower. For normal consumers, use -1.</td></tr><tr><td>max_wait_time</td><td>Maximum time in ms to wait for the response.</td></tr><tr><td>min_bytes</td><td>Minimum bytes to accumulate in the response.</td></tr><tr><td>topics</td><td>Topics to fetch.</td></tr><tr><td>topic</td><td>Topic to fetch.</td></tr><tr><td>partitions</td><td>Partitions to fetch.</td> [...]
+ replica_id => INT32
+ max_wait_time => INT32
+ min_bytes => INT32
+ topics => topic [partitions]
+ topic => STRING
+ partitions => partition fetch_offset max_bytes
+ partition => INT32
+ fetch_offset => INT64
+ max_bytes => INT32
+</code></pre><table class=data-table><tbody><tr><th>Field</th><th>Description</th></tr><tr><td>replica_id</td><td>Broker id of the follower. For normal consumers, use -1.</td></tr><tr><td>max_wait_time</td><td>Maximum time in ms to wait for the response.</td></tr><tr><td>min_bytes</td><td>Minimum bytes to accumulate in the response.</td></tr><tr><td>topics</td><td>Topics to fetch.</td></tr><tr><td>topic</td><td>Topic to fetch.</td></tr><tr><td>partitions</td><td>Partitions to fetch.</td> [...]
+ replica_id => INT32
+ max_wait_time => INT32
+ min_bytes => INT32
+ topics => topic [partitions]
+ topic => STRING
+ partitions => partition fetch_offset max_bytes
+ partition => INT32
+ fetch_offset => INT64
+ max_bytes => INT32
+</code></pre><table class=data-table><tbody><tr><th>Field</th><th>Description</th></tr><tr><td>replica_id</td><td>Broker id of the follower. For normal consumers, use -1.</td></tr><tr><td>max_wait_time</td><td>Maximum time in ms to wait for the response.</td></tr><tr><td>min_bytes</td><td>Minimum bytes to accumulate in the response.</td></tr><tr><td>topics</td><td>Topics to fetch.</td></tr><tr><td>topic</td><td>Topic to fetch.</td></tr><tr><td>partitions</td><td>Partitions to fetch.</td> [...]
+ replica_id => INT32
+ max_wait_time => INT32
+ min_bytes => INT32
+ max_bytes => INT32
+ topics => topic [partitions]
+ topic => STRING
+ partitions => partition fetch_offset max_bytes
+ partition => INT32
+ fetch_offset => INT64
+ max_bytes => INT32
+</code></pre><table class=data-table><tbody><tr><th>Field</th><th>Description</th></tr><tr><td>replica_id</td><td>Broker id of the follower. For normal consumers, use -1.</td></tr><tr><td>max_wait_time</td><td>Maximum time in ms to wait for the response.</td></tr><tr><td>min_bytes</td><td>Minimum bytes to accumulate in the response.</td></tr><tr><td>max_bytes</td><td>Maximum bytes to accumulate in the response. Note that this is not an absolute maximum, if the first message in the first [...]
+ replica_id => INT32
+ max_wait_time => INT32
+ min_bytes => INT32
+ max_bytes => INT32
+ isolation_level => INT8
+ topics => topic [partitions]
+ topic => STRING
+ partitions => partition fetch_offset max_bytes
+ partition => INT32
+ fetch_offset => INT64
+ max_bytes => INT32
+</code></pre><table class=data-table><tbody><tr><th>Field</th><th>Description</th></tr><tr><td>replica_id</td><td>Broker id of the follower. For normal consumers, use -1.</td></tr><tr><td>max_wait_time</td><td>Maximum time in ms to wait for the response.</td></tr><tr><td>min_bytes</td><td>Minimum bytes to accumulate in the response.</td></tr><tr><td>max_bytes</td><td>Maximum bytes to accumulate in the response. Note that this is not an absolute maximum, if the first message in the first [...]
+ replica_id => INT32
+ max_wait_time => INT32
+ min_bytes => INT32
+ max_bytes => INT32
+ isolation_level => INT8
+ topics => topic [partitions]
+ topic => STRING
+ partitions => partition fetch_offset log_start_offset max_bytes
+ partition => INT32
+ fetch_offset => INT64
+ log_start_offset => INT64
+ max_bytes => INT32
+</code></pre><table class=data-table><tbody><tr><th>Field</th><th>Description</th></tr><tr><td>replica_id</td><td>Broker id of the follower. For normal consumers, use -1.</td></tr><tr><td>max_wait_time</td><td>Maximum time in ms to wait for the response.</td></tr><tr><td>min_bytes</td><td>Minimum bytes to accumulate in the response.</td></tr><tr><td>max_bytes</td><td>Maximum bytes to accumulate in the response. Note that this is not an absolute maximum, if the first message in the first [...]
+ responses => topic [partition_responses]
+ topic => STRING
+ partition_responses => partition_header record_set
+ partition_header => partition error_code high_watermark
+ partition => INT32
+ error_code => INT16
+ high_watermark => INT64
+ record_set => RECORDS
+</code></pre><table class=data-table><tbody><tr><th>Field</th><th>Description</th></tr><tr><td>responses</td><td></td></tr><tr><td>topic</td><td></td></tr><tr><td>partition_responses</td><td></td></tr><tr><td>partition_header</td><td></td></tr><tr><td>partition</td><td>Topic partition id.</td></tr><tr><td>error_code</td><td></td></tr><tr><td>high_watermark</td><td>Last committed offset.</td></tr><tr><td>record_set</td><td></td></tr></table></p><p><pre class=line-numbers><code class=langu [...]
+ throttle_time_ms => INT32
+ responses => topic [partition_responses]
+ topic => STRING
+ partition_responses => partition_header record_set
+ partition_header => partition error_code high_watermark
+ partition => INT32
+ error_code => INT16
+ high_watermark => INT64
+ record_set => RECORDS
+</code></pre><table class=data-table><tbody><tr><th>Field</th><th>Description</th></tr><tr><td>throttle_time_ms</td><td>Duration in milliseconds for which the request was throttled due to quota violation. (Zero if the request did not violate any quota.)</td></tr><tr><td>responses</td><td></td></tr><tr><td>topic</td><td></td></tr><tr><td>partition_responses</td><td></td></tr><tr><td>partition_header</td><td></td></tr><tr><td>partition</td><td>Topic partition id.</td></tr><tr><td>error_cod [...]
+ throttle_time_ms => INT32
+ responses => topic [partition_responses]
+ topic => STRING
+ partition_responses => partition_header record_set
+ partition_header => partition error_code high_watermark
+ partition => INT32
+ error_code => INT16
+ high_watermark => INT64
+ record_set => RECORDS
+</code></pre><table class=data-table><tbody><tr><th>Field</th><th>Description</th></tr><tr><td>throttle_time_ms</td><td>Duration in milliseconds for which the request was throttled due to quota violation. (Zero if the request did not violate any quota.)</td></tr><tr><td>responses</td><td></td></tr><tr><td>topic</td><td></td></tr><tr><td>partition_responses</td><td></td></tr><tr><td>partition_header</td><td></td></tr><tr><td>partition</td><td>Topic partition id.</td></tr><tr><td>error_cod [...]
+ throttle_time_ms => INT32
+ responses => topic [partition_responses]
+ topic => STRING
+ partition_responses => partition_header record_set
+ partition_header => partition error_code high_watermark
+ partition => INT32
+ error_code => INT16
+ high_watermark => INT64
+ record_set => RECORDS
+</code></pre><table class=data-table><tbody><tr><th>Field</th><th>Description</th></tr><tr><td>throttle_time_ms</td><td>Duration in milliseconds for which the request was throttled due to quota violation. (Zero if the request did not violate any quota.)</td></tr><tr><td>responses</td><td></td></tr><tr><td>topic</td><td></td></tr><tr><td>partition_responses</td><td></td></tr><tr><td>partition_header</td><td></td></tr><tr><td>partition</td><td>Topic partition id.</td></tr><tr><td>error_cod [...]
+ throttle_time_ms => INT32
+ responses => topic [partition_responses]
+ topic => STRING
+ partition_responses => partition_header record_set
+ partition_header => partition error_code high_watermark last_stable_offset [aborted_transactions]
+ partition => INT32
+ error_code => INT16
+ high_watermark => INT64
+ last_stable_offset => INT64
+ aborted_transactions => producer_id first_offset
+ producer_id => INT64
+ first_offset => INT64
+ record_set => RECORDS
+</code></pre><table class=data-table><tbody><tr><th>Field</th><th>Description</th></tr><tr><td>throttle_time_ms</td><td>Duration in milliseconds for which the request was throttled due to quota violation. (Zero if the request did not violate any quota.)</td></tr><tr><td>responses</td><td></td></tr><tr><td>topic</td><td></td></tr><tr><td>partition_responses</td><td></td></tr><tr><td>partition_header</td><td></td></tr><tr><td>partition</td><td>Topic partition id.</td></tr><tr><td>error_cod [...]
+ throttle_time_ms => INT32
+ responses => topic [partition_responses]
+ topic => STRING
+ partition_responses => partition_header record_set
+ partition_header => partition error_code high_watermark last_stable_offset log_start_offset [aborted_transactions]
+ partition => INT32
+ error_code => INT16
+ high_watermark => INT64
+ last_stable_offset => INT64
+ log_start_offset => INT64
+ aborted_transactions => producer_id first_offset
+ producer_id => INT64
+ first_offset => INT64
+ record_set => RECORDS
+</code></pre><table class=data-table><tbody><tr><th>Field</th><th>Description</th></tr><tr><td>throttle_time_ms</td><td>Duration in milliseconds for which the request was throttled due to quota violation. (Zero if the request did not violate any quota.)</td></tr><tr><td>responses</td><td></td></tr><tr><td>topic</td><td></td></tr><tr><td>partition_responses</td><td></td></tr><tr><td>partition_header</td><td></td></tr><tr><td>partition</td><td>Topic partition id.</td></tr><tr><td>error_cod [...]
+ replica_id => INT32
+ topics => topic [partitions]
+ topic => STRING
+ partitions => partition timestamp max_num_offsets
+ partition => INT32
+ timestamp => INT64
+ max_num_offsets => INT32
+</code></pre><table class=data-table><tbody><tr><th>Field</th><th>Description</th></tr><tr><td>replica_id</td><td>Broker id of the follower. For normal consumers, use -1.</td></tr><tr><td>topics</td><td>Topics to list offsets.</td></tr><tr><td>topic</td><td>Topic to list offset.</td></tr><tr><td>partitions</td><td>Partitions to list offset.</td></tr><tr><td>partition</td><td>Topic partition id.</td></tr><tr><td>timestamp</td><td>Timestamp.</td></tr><tr><td>max_num_offsets</td><td>Maximum [...]
+ replica_id => INT32
+ topics => topic [partitions]
+ topic => STRING
+ partitions => partition timestamp
+ partition => INT32
+ timestamp => INT64
+</code></pre><table class=data-table><tbody><tr><th>Field</th><th>Description</th></tr><tr><td>replica_id</td><td>Broker id of the follower. For normal consumers, use -1.</td></tr><tr><td>topics</td><td>Topics to list offsets.</td></tr><tr><td>topic</td><td>Topic to list offset.</td></tr><tr><td>partitions</td><td>Partitions to list offset.</td></tr><tr><td>partition</td><td>Topic partition id.</td></tr><tr><td>timestamp</td><td>The target timestamp for the partition.</td></tr></table></ [...]
+ replica_id => INT32
+ isolation_level => INT8
+ topics => topic [partitions]
+ topic => STRING
+ partitions => partition timestamp
+ partition => INT32
+ timestamp => INT64
+</code></pre><table class=data-table><tbody><tr><th>Field</th><th>Description</th></tr><tr><td>replica_id</td><td>Broker id of the follower. For normal consumers, use -1.</td></tr><tr><td>isolation_level</td><td>This setting controls the visibility of transactional records. Using READ_UNCOMMITTED (isolation_level = 0) makes all records visible. With READ_COMMITTED (isolation_level = 1), non-transactional and COMMITTED transactional records are visible. To be more concrete, READ_COMMITTED [...]
+ responses => topic [partition_responses]
+ topic => STRING
+ partition_responses => partition error_code [offsets]
+ partition => INT32
+ error_code => INT16
+ offsets => INT64
+</code></pre><table class=data-table><tbody><tr><th>Field</th><th>Description</th></tr><tr><td>responses</td><td></td></tr><tr><td>topic</td><td></td></tr><tr><td>partition_responses</td><td></td></tr><tr><td>partition</td><td>Topic partition id.</td></tr><tr><td>error_code</td><td></td></tr><tr><td>offsets</td><td>A list of offsets.</td></tr></table></p><p><pre class=line-numbers><code class=language-java>Offsets Response (Version: 1) => [responses]
+ responses => topic [partition_responses]
+ topic => STRING
+ partition_responses => partition error_code timestamp offset
+ partition => INT32
+ error_code => INT16
+ timestamp => INT64
+ offset => INT64
+</code></pre><table class=data-table><tbody><tr><th>Field</th><th>Description</th></tr><tr><td>responses</td><td></td></tr><tr><td>topic</td><td></td></tr><tr><td>partition_responses</td><td></td></tr><tr><td>partition</td><td>Topic partition id.</td></tr><tr><td>error_code</td><td></td></tr><tr><td>timestamp</td><td>The timestamp associated with the returned offset</td></tr><tr><td>offset</td><td>offset found</td></tr></table></p><p><pre class=line-numbers><code class=language-java>Offs [...]
+ throttle_time_ms => INT32
+ responses => topic [partition_responses]
+ topic => STRING
+ partition_responses => partition error_code timestamp offset
+ partition => INT32
+ error_code => INT16
+ timestamp => INT64
+ offset => INT64
+</code></pre><table class=data-table><tbody><tr><th>Field</th><th>Description</th></tr><tr><td>throttle_time_ms</td><td>Duration in milliseconds for which the request was throttled due to quota violation. (Zero if the request did not violate any quota.)</td></tr><tr><td>responses</td><td></td></tr><tr><td>topic</td><td></td></tr><tr><td>partition_responses</td><td></td></tr><tr><td>partition</td><td>Topic partition id.</td></tr><tr><td>error_code</td><td></td></tr><tr><td>timestamp</td>< [...]
+ topics => STRING
+</code></pre><table class=data-table><tbody><tr><th>Field</th><th>Description</th></tr><tr><td>topics</td><td>An array of topics to fetch metadata for. If no topics are specified fetch metadata for all topics.</td></tr></table></p><p><pre class=line-numbers><code class=language-java>Metadata Request (Version: 1) => [topics]
+ topics => STRING
+</code></pre><table class=data-table><tbody><tr><th>Field</th><th>Description</th></tr><tr><td>topics</td><td>An array of topics to fetch metadata for. If the topics array is null fetch metadata for all topics.</td></tr></table></p><p><pre class=line-numbers><code class=language-java>Metadata Request (Version: 2) => [topics]
+ topics => STRING
+</code></pre><table class=data-table><tbody><tr><th>Field</th><th>Description</th></tr><tr><td>topics</td><td>An array of topics to fetch metadata for. If the topics array is null fetch metadata for all topics.</td></tr></table></p><p><pre class=line-numbers><code class=language-java>Metadata Request (Version: 3) => [topics]
+ topics => STRING
+</code></pre><table class=data-table><tbody><tr><th>Field</th><th>Description</th></tr><tr><td>topics</td><td>An array of topics to fetch metadata for. If the topics array is null fetch metadata for all topics.</td></tr></table></p><p><pre class=line-numbers><code class=language-java>Metadata Request (Version: 4) => [topics] allow_auto_topic_creation
+ topics => STRING
+ allow_auto_topic_creation => BOOLEAN
+</code></pre><table class=data-table><tbody><tr><th>Field</th><th>Description</th></tr><tr><td>topics</td><td>An array of topics to fetch metadata for. If the topics array is null fetch metadata for all topics.</td></tr><tr><td>allow_auto_topic_creation</td><td>If this and the broker config 'auto.create.topics.enable' are true, topics that don't exist will be created by the broker. Otherwise, no topics will be created by the broker.</td></tr></table></p><b>Responses:</b><br><p><pre class [...]
+ brokers => node_id host port
+ node_id => INT32
+ host => STRING
+ port => INT32
+ topic_metadata => topic_error_code topic [partition_metadata]
+ topic_error_code => INT16
+ topic => STRING
+ partition_metadata => partition_error_code partition_id leader [replicas] [isr]
+ partition_error_code => INT16
+ partition_id => INT32
+ leader => INT32
+ replicas => INT32
+ isr => INT32
+</code></pre><table class=data-table><tbody><tr><th>Field</th><th>Description</th></tr><tr><td>brokers</td><td>Host and port information for all brokers.</td></tr><tr><td>node_id</td><td>The broker id.</td></tr><tr><td>host</td><td>The hostname of the broker.</td></tr><tr><td>port</td><td>The port on which the broker accepts requests.</td></tr><tr><td>topic_metadata</td><td></td></tr><tr><td>topic_error_code</td><td>The error code for the given topic.</td></tr><tr><td>topic</td><td>The n [...]
+ brokers => node_id host port rack
+ node_id => INT32
+ host => STRING
+ port => INT32
+ rack => NULLABLE_STRING
+ controller_id => INT32
+ topic_metadata => topic_error_code topic is_internal [partition_metadata]
+ topic_error_code => INT16
+ topic => STRING
+ is_internal => BOOLEAN
+ partition_metadata => partition_error_code partition_id leader [replicas] [isr]
+ partition_error_code => INT16
+ partition_id => INT32
+ leader => INT32
+ replicas => INT32
+ isr => INT32
+</code></pre><table class=data-table><tbody><tr><th>Field</th><th>Description</th></tr><tr><td>brokers</td><td>Host and port information for all brokers.</td></tr><tr><td>node_id</td><td>The broker id.</td></tr><tr><td>host</td><td>The hostname of the broker.</td></tr><tr><td>port</td><td>The port on which the broker accepts requests.</td></tr><tr><td>rack</td><td>The rack of the broker.</td></tr><tr><td>controller_id</td><td>The broker id of the controller broker.</td></tr><tr><td>topic [...]
+ brokers => node_id host port rack
+ node_id => INT32
+ host => STRING
+ port => INT32
+ rack => NULLABLE_STRING
+ cluster_id => NULLABLE_STRING
+ controller_id => INT32
+ topic_metadata => topic_error_code topic is_internal [partition_metadata]
+ topic_error_code => INT16
+ topic => STRING
+ is_internal => BOOLEAN
+ partition_metadata => partition_error_code partition_id leader [replicas] [isr]
+ partition_error_code => INT16
+ partition_id => INT32
+ leader => INT32
+ replicas => INT32
+ isr => INT32
+</code></pre><table class=data-table><tbody><tr><th>Field</th><th>Description</th></tr><tr><td>brokers</td><td>Host and port information for all brokers.</td></tr><tr><td>node_id</td><td>The broker id.</td></tr><tr><td>host</td><td>The hostname of the broker.</td></tr><tr><td>port</td><td>The port on which the broker accepts requests.</td></tr><tr><td>rack</td><td>The rack of the broker.</td></tr><tr><td>cluster_id</td><td>The cluster id that this broker belongs to.</td></tr><tr><td>cont [...]
+ throttle_time_ms => INT32
+ brokers => node_id host port rack
+ node_id => INT32
+ host => STRING
+ port => INT32
+ rack => NULLABLE_STRING
+ cluster_id => NULLABLE_STRING
+ controller_id => INT32
+ topic_metadata => topic_error_code topic is_internal [partition_metadata]
+ topic_error_code => INT16
+ topic => STRING
+ is_internal => BOOLEAN
+ partition_metadata => partition_error_code partition_id leader [replicas] [isr]
+ partition_error_code => INT16
+ partition_id => INT32
+ leader => INT32
+ replicas => INT32
+ isr => INT32
+</code></pre><table class=data-table><tbody><tr><th>Field</th><th>Description</th></tr><tr><td>throttle_time_ms</td><td>Duration in milliseconds for which the request was throttled due to quota violation. (Zero if the request did not violate any quota.)</td></tr><tr><td>brokers</td><td>Host and port information for all brokers.</td></tr><tr><td>node_id</td><td>The broker id.</td></tr><tr><td>host</td><td>The hostname of the broker.</td></tr><tr><td>port</td><td>The port on which the brok [...]
+ throttle_time_ms => INT32
+ brokers => node_id host port rack
+ node_id => INT32
+ host => STRING
+ port => INT32
+ rack => NULLABLE_STRING
+ cluster_id => NULLABLE_STRING
+ controller_id => INT32
+ topic_metadata => topic_error_code topic is_internal [partition_metadata]
+ topic_error_code => INT16
+ topic => STRING
+ is_internal => BOOLEAN
+ partition_metadata => partition_error_code partition_id leader [replicas] [isr]
+ partition_error_code => INT16
+ partition_id => INT32
+ leader => INT32
+ replicas => INT32
+ isr => INT32
+</code></pre><table class=data-table><tbody><tr><th>Field</th><th>Description</th></tr><tr><td>throttle_time_ms</td><td>Duration in milliseconds for which the request was throttled due to quota violation. (Zero if the request did not violate any quota.)</td></tr><tr><td>brokers</td><td>Host and port information for all brokers.</td></tr><tr><td>node_id</td><td>The broker id.</td></tr><tr><td>host</td><td>The hostname of the broker.</td></tr><tr><td>port</td><td>The port on which the brok [...]
+ controller_id => INT32
+ controller_epoch => INT32
+ partition_states => topic partition controller_epoch leader leader_epoch [isr] zk_version [replicas]
+ topic => STRING
+ partition => INT32
+ controller_epoch => INT32
+ leader => INT32
+ leader_epoch => INT32
+ isr => INT32
+ zk_version => INT32
+ replicas => INT32
+ live_leaders => id host port
+ id => INT32
+ host => STRING
+ port => INT32
+</code></pre><table class=data-table><tbody><tr><th>Field</th><th>Description</th></tr><tr><td>controller_id</td><td>The controller id.</td></tr><tr><td>controller_epoch</td><td>The controller epoch.</td></tr><tr><td>partition_states</td><td></td></tr><tr><td>topic</td><td>Topic name.</td></tr><tr><td>partition</td><td>Topic partition id.</td></tr><tr><td>controller_epoch</td><td>The controller epoch.</td></tr><tr><td>leader</td><td>The broker id for the leader.</td></tr><tr><td>leader_e [...]
+ error_code => INT16
+ partitions => topic partition error_code
+ topic => STRING
+ partition => INT32
+ error_code => INT16
+</code></pre><table class=data-table><tbody><tr><th>Field</th><th>Description</th></tr><tr><td>error_code</td><td>Error code.</td></tr><tr><td>partitions</td><td></td></tr><tr><td>topic</td><td>Topic name.</td></tr><tr><td>partition</td><td>Topic partition id.</td></tr><tr><td>error_code</td><td>Error code.</td></tr></table></p><h5><a name=The_Messages_StopReplica>StopReplica API (Key: 5):</a></h5><b>Requests:</b><br><p><pre class=line-numbers><code class=language-java>StopReplica Reques [...]
+ controller_id => INT32
+ controller_epoch => INT32
+ delete_partitions => BOOLEAN
+ partitions => topic partition
+ topic => STRING
+ partition => INT32
+</code></pre><table class=data-table><tbody><tr><th>Field</th><th>Description</th></tr><tr><td>controller_id</td><td>The controller id.</td></tr><tr><td>controller_epoch</td><td>The controller epoch.</td></tr><tr><td>delete_partitions</td><td>Boolean which indicates if replica's partitions must be deleted.</td></tr><tr><td>partitions</td><td></td></tr><tr><td>topic</td><td>Topic name.</td></tr><tr><td>partition</td><td>Topic partition id.</td></tr></table></p><b>Responses:</b><br><p><pre [...]
+ error_code => INT16
+ partitions => topic partition error_code
+ topic => STRING
+ partition => INT32
+ error_code => INT16
+</code></pre><table class=data-table><tbody><tr><th>Field</th><th>Description</th></tr><tr><td>error_code</td><td>Error code.</td></tr><tr><td>partitions</td><td></td></tr><tr><td>topic</td><td>Topic name.</td></tr><tr><td>partition</td><td>Topic partition id.</td></tr><tr><td>error_code</td><td>Error code.</td></tr></table></p><h5><a name=The_Messages_UpdateMetadata>UpdateMetadata API (Key: 6):</a></h5><b>Requests:</b><br><p><pre class=line-numbers><code class=language-java>UpdateMetada [...]
+ controller_id => INT32
+ controller_epoch => INT32
+ partition_states => topic partition controller_epoch leader leader_epoch [isr] zk_version [replicas]
+ topic => STRING
+ partition => INT32
+ controller_epoch => INT32
+ leader => INT32
+ leader_epoch => INT32
+ isr => INT32
+ zk_version => INT32
+ replicas => INT32
+ live_brokers => id host port
+ id => INT32
+ host => STRING
+ port => INT32
+</code></pre><table class=data-table><tbody><tr><th>Field</th><th>Description</th></tr><tr><td>controller_id</td><td>The controller id.</td></tr><tr><td>controller_epoch</td><td>The controller epoch.</td></tr><tr><td>partition_states</td><td></td></tr><tr><td>topic</td><td>Topic name.</td></tr><tr><td>partition</td><td>Topic partition id.</td></tr><tr><td>controller_epoch</td><td>The controller epoch.</td></tr><tr><td>leader</td><td>The broker id for the leader.</td></tr><tr><td>leader_e [...]
+ controller_id => INT32
+ controller_epoch => INT32
+ partition_states => topic partition controller_epoch leader leader_epoch [isr] zk_version [replicas]
+ topic => STRING
+ partition => INT32
+ controller_epoch => INT32
+ leader => INT32
+ leader_epoch => INT32
+ isr => INT32
+ zk_version => INT32
+ replicas => INT32
+ live_brokers => id [end_points]
+ id => INT32
+ end_points => port host security_protocol_type
+ port => INT32
+ host => STRING
+ security_protocol_type => INT16
+</code></pre><table class=data-table><tbody><tr><th>Field</th><th>Description</th></tr><tr><td>controller_id</td><td>The controller id.</td></tr><tr><td>controller_epoch</td><td>The controller epoch.</td></tr><tr><td>partition_states</td><td></td></tr><tr><td>topic</td><td>Topic name.</td></tr><tr><td>partition</td><td>Topic partition id.</td></tr><tr><td>controller_epoch</td><td>The controller epoch.</td></tr><tr><td>leader</td><td>The broker id for the leader.</td></tr><tr><td>leader_e [...]
+ controller_id => INT32
+ controller_epoch => INT32
+ partition_states => topic partition controller_epoch leader leader_epoch [isr] zk_version [replicas]
+ topic => STRING
+ partition => INT32
+ controller_epoch => INT32
+ leader => INT32
+ leader_epoch => INT32
+ isr => INT32
+ zk_version => INT32
+ replicas => INT32
+ live_brokers => id [end_points] rack
+ id => INT32
+ end_points => port host security_protocol_type
+ port => INT32
+ host => STRING
+ security_protocol_type => INT16
+ rack => NULLABLE_STRING
+</code></pre><table class=data-table><tbody><tr><th>Field</th><th>Description</th></tr><tr><td>controller_id</td><td>The controller id.</td></tr><tr><td>controller_epoch</td><td>The controller epoch.</td></tr><tr><td>partition_states</td><td></td></tr><tr><td>topic</td><td>Topic name.</td></tr><tr><td>partition</td><td>Topic partition id.</td></tr><tr><td>controller_epoch</td><td>The controller epoch.</td></tr><tr><td>leader</td><td>The broker id for the leader.</td></tr><tr><td>leader_e [...]
+ controller_id => INT32
+ controller_epoch => INT32
+ partition_states => topic partition controller_epoch leader leader_epoch [isr] zk_version [replicas]
+ topic => STRING
+ partition => INT32
+ controller_epoch => INT32
+ leader => INT32
+ leader_epoch => INT32
+ isr => INT32
+ zk_version => INT32
+ replicas => INT32
+ live_brokers => id [end_points] rack
+ id => INT32
+ end_points => port host listener_name security_protocol_type
+ port => INT32
+ host => STRING
+ listener_name => STRING
+ security_protocol_type => INT16
+ rack => NULLABLE_STRING
+</code></pre><table class=data-table><tbody><tr><th>Field</th><th>Description</th></tr><tr><td>controller_id</td><td>The controller id.</td></tr><tr><td>controller_epoch</td><td>The controller epoch.</td></tr><tr><td>partition_states</td><td></td></tr><tr><td>topic</td><td>Topic name.</td></tr><tr><td>partition</td><td>Topic partition id.</td></tr><tr><td>controller_epoch</td><td>The controller epoch.</td></tr><tr><td>leader</td><td>The broker id for the leader.</td></tr><tr><td>leader_e [...]
+ error_code => INT16
+</code></pre><table class=data-table><tbody><tr><th>Field</th><th>Description</th></tr><tr><td>error_code</td><td>Error code.</td></tr></table></p><p><pre class=line-numbers><code class=language-java>UpdateMetadata Response (Version: 1) => error_code
+ error_code => INT16
+</code></pre><table class=data-table><tbody><tr><th>Field</th><th>Description</th></tr><tr><td>error_code</td><td>Error code.</td></tr></table></p><p><pre class=line-numbers><code class=language-java>UpdateMetadata Response (Version: 2) => error_code
+ error_code => INT16
+</code></pre><table class=data-table><tbody><tr><th>Field</th><th>Description</th></tr><tr><td>error_code</td><td>Error code.</td></tr></table></p><p><pre class=line-numbers><code class=language-java>UpdateMetadata Response (Version: 3) => error_code
+ error_code => INT16
+</code></pre><table class=data-table><tbody><tr><th>Field</th><th>Description</th></tr><tr><td>error_code</td><td>Error code.</td></tr></table></p><h5><a name=The_Messages_ControlledShutdown>ControlledShutdown API (Key: 7):</a></h5><b>Requests:</b><br></p><p><pre class=line-numbers><code class=language-java>ControlledShutdown Request (Version: 1) => broker_id
+ broker_id => INT32
+</code></pre><table class=data-table><tbody><tr><th>Field</th><th>Description</th></tr><tr><td>broker_id</td><td>The id of the broker for which controlled shutdown has been requested.</td></tr></table></p><b>Responses:</b><br></p><p><pre class=line-numbers><code class=language-java>ControlledShutdown Response (Version: 1) => error_code [partitions_remaining]
+ error_code => INT16
+ partitions_remaining => topic partition
+ topic => STRING
+ partition => INT32
+</code></pre><table class=data-table><tbody><tr><th>Field</th><th>Description</th></tr><tr><td>error_code</td><td></td></tr><tr><td>partitions_remaining</td><td>The partitions that the broker still leads.</td></tr><tr><td>topic</td><td></td></tr><tr><td>partition</td><td>Topic partition id.</td></tr></table></p><h5><a name=The_Messages_OffsetCommit>OffsetCommit API (Key: 8):</a></h5><b>Requests:</b><br><p><pre class=line-numbers><code class=language-java>OffsetCommit Request (Version: 0) [...]
+ group_id => STRING
+ topics => topic [partitions]
+ topic => STRING
+ partitions => partition offset metadata
+ partition => INT32
+ offset => INT64
+ metadata => NULLABLE_STRING
+</code></pre><table class=data-table><tbody><tr><th>Field</th><th>Description</th></tr><tr><td>group_id</td><td>The group id.</td></tr><tr><td>topics</td><td>Topics to commit offsets.</td></tr><tr><td>topic</td><td>Topic to commit.</td></tr><tr><td>partitions</td><td>Partitions to commit offsets.</td></tr><tr><td>partition</td><td>Topic partition id.</td></tr><tr><td>offset</td><td>Message offset to be committed.</td></tr><tr><td>metadata</td><td>Any associated metadata the client wants [...]
+ group_id => STRING
+ group_generation_id => INT32
+ member_id => STRING
+ topics => topic [partitions]
+ topic => STRING
+ partitions => partition offset timestamp metadata
+ partition => INT32
+ offset => INT64
+ timestamp => INT64
+ metadata => NULLABLE_STRING
+</code></pre><table class=data-table><tbody><tr><th>Field</th><th>Description</th></tr><tr><td>group_id</td><td>The group id.</td></tr><tr><td>group_generation_id</td><td>The generation of the group.</td></tr><tr><td>member_id</td><td>The member id assigned by the group coordinator.</td></tr><tr><td>topics</td><td>Topics to commit offsets.</td></tr><tr><td>topic</td><td>Topic to commit.</td></tr><tr><td>partitions</td><td>Partitions to commit offsets.</td></tr><tr><td>partition</td><td>T [...]
+ group_id => STRING
+ group_generation_id => INT32
+ member_id => STRING
+ retention_time => INT64
+ topics => topic [partitions]
+ topic => STRING
+ partitions => partition offset metadata
+ partition => INT32
+ offset => INT64
+ metadata => NULLABLE_STRING
+</code></pre><table class=data-table><tbody><tr><th>Field</th><th>Description</th></tr><tr><td>group_id</td><td>The group id.</td></tr><tr><td>group_generation_id</td><td>The generation of the consumer group.</td></tr><tr><td>member_id</td><td>The consumer id assigned by the group coordinator.</td></tr><tr><td>retention_time</td><td>Time period in ms to retain the offset.</td></tr><tr><td>topics</td><td>Topics to commit offsets.</td></tr><tr><td>topic</td><td>Topic to commit.</td></tr><t [...]
+ group_id => STRING
+ group_generation_id => INT32
+ member_id => STRING
+ retention_time => INT64
+ topics => topic [partitions]
+ topic => STRING
+ partitions => partition offset metadata
+ partition => INT32
+ offset => INT64
+ metadata => NULLABLE_STRING
+</code></pre><table class=data-table><tbody><tr><th>Field</th><th>Description</th></tr><tr><td>group_id</td><td>The group id.</td></tr><tr><td>group_generation_id</td><td>The generation of the consumer group.</td></tr><tr><td>member_id</td><td>The consumer id assigned by the group coordinator.</td></tr><tr><td>retention_time</td><td>Time period in ms to retain the offset.</td></tr><tr><td>topics</td><td>Topics to commit offsets.</td></tr><tr><td>topic</td><td>Topic to commit.</td></tr><t [...]
+ responses => topic [partition_responses]
+ topic => STRING
+ partition_responses => partition error_code
+ partition => INT32
+ error_code => INT16
+</code></pre><table class=data-table><tbody><tr><th>Field</th><th>Description</th></tr><tr><td>responses</td><td></td></tr><tr><td>topic</td><td></td></tr><tr><td>partition_responses</td><td></td></tr><tr><td>partition</td><td>Topic partition id.</td></tr><tr><td>error_code</td><td></td></tr></table></p><p><pre class=line-numbers><code class=language-java>OffsetCommit Response (Version: 1) => [responses]
+ responses => topic [partition_responses]
+ topic => STRING
+ partition_responses => partition error_code
+ partition => INT32
+ error_code => INT16
+</code></pre><table class=data-table><tbody><tr><th>Field</th><th>Description</th></tr><tr><td>responses</td><td></td></tr><tr><td>topic</td><td></td></tr><tr><td>partition_responses</td><td></td></tr><tr><td>partition</td><td>Topic partition id.</td></tr><tr><td>error_code</td><td></td></tr></table></p><p><pre class=line-numbers><code class=language-java>OffsetCommit Response (Version: 2) => [responses]
+ responses => topic [partition_responses]
+ topic => STRING
+ partition_responses => partition error_code
+ partition => INT32
+ error_code => INT16
+</code></pre><table class=data-table><tbody><tr><th>Field</th><th>Description</th></tr><tr><td>responses</td><td></td></tr><tr><td>topic</td><td></td></tr><tr><td>partition_responses</td><td></td></tr><tr><td>partition</td><td>Topic partition id.</td></tr><tr><td>error_code</td><td></td></tr></table></p><p><pre class=line-numbers><code class=language-java>OffsetCommit Response (Version: 3) => throttle_time_ms [responses]
+ throttle_time_ms => INT32
+ responses => topic [partition_responses]
+ topic => STRING
+ partition_responses => partition error_code
+ partition => INT32
+ error_code => INT16
+</code></pre><table class=data-table><tbody><tr><th>Field</th><th>Description</th></tr><tr><td>throttle_time_ms</td><td>Duration in milliseconds for which the request was throttled due to quota violation. (Zero if the request did not violate any quota.)</td></tr><tr><td>responses</td><td></td></tr><tr><td>topic</td><td></td></tr><tr><td>partition_responses</td><td></td></tr><tr><td>partition</td><td>Topic partition id.</td></tr><tr><td>error_code</td><td></td></tr></table></p><h5><a name [...]
+ group_id => STRING
+ topics => topic [partitions]
+ topic => STRING
+ partitions => partition
+ partition => INT32
+</code></pre><table class=data-table><tbody><tr><th>Field</th><th>Description</th></tr><tr><td>group_id</td><td>The consumer group id.</td></tr><tr><td>topics</td><td>Topics to fetch offsets.</td></tr><tr><td>topic</td><td>Topic to fetch offset.</td></tr><tr><td>partitions</td><td>Partitions to fetch offsets.</td></tr><tr><td>partition</td><td>Topic partition id.</td></tr></table></p><p><pre class=line-numbers><code class=language-java>OffsetFetch Request (Version: 1) => group_id [topics]
+ group_id => STRING
+ topics => topic [partitions]
+ topic => STRING
+ partitions => partition
+ partition => INT32
+</code></pre><table class=data-table><tbody><tr><th>Field</th><th>Description</th></tr><tr><td>group_id</td><td>The consumer group id.</td></tr><tr><td>topics</td><td>Topics to fetch offsets.</td></tr><tr><td>topic</td><td>Topic to fetch offset.</td></tr><tr><td>partitions</td><td>Partitions to fetch offsets.</td></tr><tr><td>partition</td><td>Topic partition id.</td></tr></table></p><p><pre class=line-numbers><code class=language-java>OffsetFetch Request (Version: 2) => group_id [topics]
+ group_id => STRING
+ topics => topic [partitions]
+ topic => STRING
+ partitions => partition
+ partition => INT32
+</code></pre><table class=data-table><tbody><tr><th>Field</th><th>Description</th></tr><tr><td>group_id</td><td>The consumer group id.</td></tr><tr><td>topics</td><td>Topics to fetch offsets. If the topic array is null fetch offsets for all topics.</td></tr><tr><td>topic</td><td>Topic to fetch offset.</td></tr><tr><td>partitions</td><td>Partitions to fetch offsets.</td></tr><tr><td>partition</td><td>Topic partition id.</td></tr></table></p><p><pre class=line-numbers><code class=language- [...]
+ group_id => STRING
+ topics => topic [partitions]
+ topic => STRING
+ partitions => partition
+ partition => INT32
+</code></pre><table class=data-table><tbody><tr><th>Field</th><th>Description</th></tr><tr><td>group_id</td><td>The consumer group id.</td></tr><tr><td>topics</td><td>Topics to fetch offsets. If the topic array is null fetch offsets for all topics.</td></tr><tr><td>topic</td><td>Topic to fetch offset.</td></tr><tr><td>partitions</td><td>Partitions to fetch offsets.</td></tr><tr><td>partition</td><td>Topic partition id.</td></tr></table></p><b>Responses:</b><br><p><pre class=line-numbers> [...]
+ responses => topic [partition_responses]
+ topic => STRING
+ partition_responses => partition offset metadata error_code
+ partition => INT32
+ offset => INT64
+ metadata => NULLABLE_STRING
+ error_code => INT16
+</code></pre><table class=data-table><tbody><tr><th>Field</th><th>Description</th></tr><tr><td>responses</td><td></td></tr><tr><td>topic</td><td></td></tr><tr><td>partition_responses</td><td></td></tr><tr><td>partition</td><td>Topic partition id.</td></tr><tr><td>offset</td><td>Last committed message offset.</td></tr><tr><td>metadata</td><td>Any associated metadata the client wants to keep.</td></tr><tr><td>error_code</td><td></td></tr></table></p><p><pre class=line-numbers><code class=l [...]
+ responses => topic [partition_responses]
+ topic => STRING
+ partition_responses => partition offset metadata error_code
+ partition => INT32
+ offset => INT64
+ metadata => NULLABLE_STRING
+ error_code => INT16
+</code></pre><table class=data-table><tbody><tr><th>Field</th><th>Description</th></tr><tr><td>responses</td><td></td></tr><tr><td>topic</td><td></td></tr><tr><td>partition_responses</td><td></td></tr><tr><td>partition</td><td>Topic partition id.</td></tr><tr><td>offset</td><td>Last committed message offset.</td></tr><tr><td>metadata</td><td>Any associated metadata the client wants to keep.</td></tr><tr><td>error_code</td><td></td></tr></table></p><p><pre class=line-numbers><code class=l [...]
+ responses => topic [partition_responses]
+ topic => STRING
+ partition_responses => partition offset metadata error_code
+ partition => INT32
+ offset => INT64
+ metadata => NULLABLE_STRING
+ error_code => INT16
+ error_code => INT16
+</code></pre><table class=data-table><tbody><tr><th>Field</th><th>Description</th></tr><tr><td>responses</td><td></td></tr><tr><td>topic</td><td></td></tr><tr><td>partition_responses</td><td></td></tr><tr><td>partition</td><td>Topic partition id.</td></tr><tr><td>offset</td><td>Last committed message offset.</td></tr><tr><td>metadata</td><td>Any associated metadata the client wants to keep.</td></tr><tr><td>error_code</td><td></td></tr><tr><td>error_code</td><td></td></tr></table></p><p> [...]
+ throttle_time_ms => INT32
+ responses => topic [partition_responses]
+ topic => STRING
+ partition_responses => partition offset metadata error_code
+ partition => INT32
+ offset => INT64
+ metadata => NULLABLE_STRING
+ error_code => INT16
+ error_code => INT16
+</code></pre><table class=data-table><tbody><tr><th>Field</th><th>Description</th></tr><tr><td>throttle_time_ms</td><td>Duration in milliseconds for which the request was throttled due to quota violation. (Zero if the request did not violate any quota.)</td></tr><tr><td>responses</td><td></td></tr><tr><td>topic</td><td></td></tr><tr><td>partition_responses</td><td></td></tr><tr><td>partition</td><td>Topic partition id.</td></tr><tr><td>offset</td><td>Last committed message offset.</td></ [...]
+ group_id => STRING
+</code></pre><table class=data-table><tbody><tr><th>Field</th><th>Description</th></tr><tr><td>group_id</td><td>The unique group id.</td></tr></table></p><p><pre class=line-numbers><code class=language-java>FindCoordinator Request (Version: 1) => coordinator_key coordinator_type
+ coordinator_key => STRING
+ coordinator_type => INT8
+</code></pre><table class=data-table><tbody><tr><th>Field</th><th>Description</th></tr><tr><td>coordinator_key</td><td>Id to use for finding the coordinator (for groups, this is the groupId, for transactional producers, this is the transactional id)</td></tr><tr><td>coordinator_type</td><td>The type of coordinator to find (0 = group, 1 = transaction)</td></tr></table></p><b>Responses:</b><br><p><pre class=line-numbers><code class=language-java>FindCoordinator Response (Version: 0) => err [...]
+ error_code => INT16
+ coordinator => node_id host port
+ node_id => INT32
+ host => STRING
+ port => INT32
+</code></pre><table class=data-table><tbody><tr><th>Field</th><th>Description</th></tr><tr><td>error_code</td><td></td></tr><tr><td>coordinator</td><td>Host and port information for the coordinator for a consumer group.</td></tr><tr><td>node_id</td><td>The broker id.</td></tr><tr><td>host</td><td>The hostname of the broker.</td></tr><tr><td>port</td><td>The port on which the broker accepts requests.</td></tr></table></p><p><pre class=line-numbers><code class=language-java>FindCoordinator [...]
+ throttle_time_ms => INT32
+ error_code => INT16
+ error_message => NULLABLE_STRING
+ coordinator => node_id host port
+ node_id => INT32
+ host => STRING
+ port => INT32
+</code></pre><table class=data-table><tbody><tr><th>Field</th><th>Description</th></tr><tr><td>throttle_time_ms</td><td>Duration in milliseconds for which the request was throttled due to quota violation. (Zero if the request did not violate any quota.)</td></tr><tr><td>error_code</td><td></td></tr><tr><td>error_message</td><td></td></tr><tr><td>coordinator</td><td>Host and port information for the coordinator for a consumer group.</td></tr><tr><td>node_id</td><td>The broker id.</td></tr [...]
+ group_id => STRING
+ session_timeout => INT32
+ member_id => STRING
+ protocol_type => STRING
+ group_protocols => protocol_name protocol_metadata
+ protocol_name => STRING
+ protocol_metadata => BYTES
+</code></pre><table class=data-table><tbody><tr><th>Field</th><th>Description</th></tr><tr><td>group_id</td><td>The group id.</td></tr><tr><td>session_timeout</td><td>The coordinator considers the consumer dead if it receives no heartbeat after this timeout in ms.</td></tr><tr><td>member_id</td><td>The assigned consumer id or an empty string for a new consumer.</td></tr><tr><td>protocol_type</td><td>Unique name for class of protocols implemented by group</td></tr><tr><td>group_protocols< [...]
+ group_id => STRING
+ session_timeout => INT32
+ rebalance_timeout => INT32
+ member_id => STRING
+ protocol_type => STRING
+ group_protocols => protocol_name protocol_metadata
+ protocol_name => STRING
+ protocol_metadata => BYTES
+</code></pre><table class=data-table><tbody><tr><th>Field</th><th>Description</th></tr><tr><td>group_id</td><td>The group id.</td></tr><tr><td>session_timeout</td><td>The coordinator considers the consumer dead if it receives no heartbeat after this timeout in ms.</td></tr><tr><td>rebalance_timeout</td><td>The maximum time that the coordinator will wait for each member to rejoin when rebalancing the group</td></tr><tr><td>member_id</td><td>The assigned consumer id or an empty string for [...]
+ group_id => STRING
+ session_timeout => INT32
+ rebalance_timeout => INT32
+ member_id => STRING
+ protocol_type => STRING
+ group_protocols => protocol_name protocol_metadata
+ protocol_name => STRING
+ protocol_metadata => BYTES
+</code></pre><table class=data-table><tbody><tr><th>Field</th><th>Description</th></tr><tr><td>group_id</td><td>The group id.</td></tr><tr><td>session_timeout</td><td>The coordinator considers the consumer dead if it receives no heartbeat after this timeout in ms.</td></tr><tr><td>rebalance_timeout</td><td>The maximum time that the coordinator will wait for each member to rejoin when rebalancing the group</td></tr><tr><td>member_id</td><td>The assigned consumer id or an empty string for [...]
+ error_code => INT16
+ generation_id => INT32
+ group_protocol => STRING
+ leader_id => STRING
+ member_id => STRING
+ members => member_id member_metadata
+ member_id => STRING
+ member_metadata => BYTES
+</code></pre><table class=data-table><tbody><tr><th>Field</th><th>Description</th></tr><tr><td>error_code</td><td></td></tr><tr><td>generation_id</td><td>The generation of the consumer group.</td></tr><tr><td>group_protocol</td><td>The group protocol selected by the coordinator</td></tr><tr><td>leader_id</td><td>The leader of the group</td></tr><tr><td>member_id</td><td>The consumer id assigned by the group coordinator.</td></tr><tr><td>members</td><td></td></tr><tr><td>member_id</td><td [...]
+ error_code => INT16
+ generation_id => INT32
+ group_protocol => STRING
+ leader_id => STRING
+ member_id => STRING
+ members => member_id member_metadata
+ member_id => STRING
+ member_metadata => BYTES
+</code></pre><table class=data-table><tbody><tr><th>Field</th><th>Description</th></tr><tr><td>error_code</td><td></td></tr><tr><td>generation_id</td><td>The generation of the consumer group.</td></tr><tr><td>group_protocol</td><td>The group protocol selected by the coordinator</td></tr><tr><td>leader_id</td><td>The leader of the group</td></tr><tr><td>member_id</td><td>The consumer id assigned by the group coordinator.</td></tr><tr><td>members</td><td></td></tr><tr><td>member_id</td><td [...]
+ throttle_time_ms => INT32
+ error_code => INT16
+ generation_id => INT32
+ group_protocol => STRING
+ leader_id => STRING
+ member_id => STRING
+ members => member_id member_metadata
+ member_id => STRING
+ member_metadata => BYTES
+</code></pre><table class=data-table><tbody><tr><th>Field</th><th>Description</th></tr><tr><td>throttle_time_ms</td><td>Duration in milliseconds for which the request was throttled due to quota violation. (Zero if the request did not violate any quota.)</td></tr><tr><td>error_code</td><td></td></tr><tr><td>generation_id</td><td>The generation of the consumer group.</td></tr><tr><td>group_protocol</td><td>The group protocol selected by the coordinator</td></tr><tr><td>leader_id</td><td>Th [...]
+ group_id => STRING
+ group_generation_id => INT32
+ member_id => STRING
+</code></pre><table class=data-table><tbody><tr><th>Field</th><th>Description</th></tr><tr><td>group_id</td><td>The group id.</td></tr><tr><td>group_generation_id</td><td>The generation of the group.</td></tr><tr><td>member_id</td><td>The member id assigned by the group coordinator.</td></tr></table></p><p><pre class=line-numbers><code class=language-java>Heartbeat Request (Version: 1) => group_id group_generation_id member_id
+ group_id => STRING
+ group_generation_id => INT32
+ member_id => STRING
+</code></pre><table class=data-table><tbody><tr><th>Field</th><th>Description</th></tr><tr><td>group_id</td><td>The group id.</td></tr><tr><td>group_generation_id</td><td>The generation of the group.</td></tr><tr><td>member_id</td><td>The member id assigned by the group coordinator.</td></tr></table></p><b>Responses:</b><br><p><pre class=line-numbers><code class=language-java>Heartbeat Response (Version: 0) => error_code
+ error_code => INT16
+</code></pre><table class=data-table><tbody><tr><th>Field</th><th>Description</th></tr><tr><td>error_code</td><td></td></tr></table></p><p><pre class=line-numbers><code class=language-java>Heartbeat Response (Version: 1) => throttle_time_ms error_code
+ throttle_time_ms => INT32
+ error_code => INT16
+</code></pre><table class=data-table><tbody><tr><th>Field</th><th>Description</th></tr><tr><td>throttle_time_ms</td><td>Duration in milliseconds for which the request was throttled due to quota violation. (Zero if the request did not violate any quota.)</td></tr><tr><td>error_code</td><td></td></tr></table></p><h5><a name=The_Messages_LeaveGroup>LeaveGroup API (Key: 13):</a></h5><b>Requests:</b><br><p><pre class=line-numbers><code class=language-java>LeaveGroup Request (Version: 0) => gr [...]
+ group_id => STRING
+ member_id => STRING
+</code></pre><table class=data-table><tbody><tr><th>Field</th><th>Description</th></tr><tr><td>group_id</td><td>The group id.</td></tr><tr><td>member_id</td><td>The member id assigned by the group coordinator.</td></tr></table></p><p><pre class=line-numbers><code class=language-java>LeaveGroup Request (Version: 1) => group_id member_id
+ group_id => STRING
+ member_id => STRING
+</code></pre><table class=data-table><tbody><tr><th>Field</th><th>Description</th></tr><tr><td>group_id</td><td>The group id.</td></tr><tr><td>member_id</td><td>The member id assigned by the group coordinator.</td></tr></table></p><b>Responses:</b><br><p><pre class=line-numbers><code class=language-java>LeaveGroup Response (Version: 0) => error_code
+ error_code => INT16
+</code></pre><table class=data-table><tbody><tr><th>Field</th><th>Description</th></tr><tr><td>error_code</td><td></td></tr></table></p><p><pre class=line-numbers><code class=language-java>LeaveGroup Response (Version: 1) => throttle_time_ms error_code
+ throttle_time_ms => INT32
+ error_code => INT16
+</code></pre><table class=data-table><tbody><tr><th>Field</th><th>Description</th></tr><tr><td>throttle_time_ms</td><td>Duration in milliseconds for which the request was throttled due to quota violation. (Zero if the request did not violate any quota.)</td></tr><tr><td>error_code</td><td></td></tr></table></p><h5><a name=The_Messages_SyncGroup>SyncGroup API (Key: 14):</a></h5><b>Requests:</b><br><p><pre class=line-numbers><code class=language-java>SyncGroup Request (Version: 0) => group [...]
+ group_id => STRING
+ generation_id => INT32
+ member_id => STRING
+ group_assignment => member_id member_assignment
+ member_id => STRING
+ member_assignment => BYTES
+</code></pre><table class=data-table><tbody><tr><th>Field</th><th>Description</th></tr><tr><td>group_id</td><td></td></tr><tr><td>generation_id</td><td></td></tr><tr><td>member_id</td><td></td></tr><tr><td>group_assignment</td><td></td></tr><tr><td>member_id</td><td></td></tr><tr><td>member_assignment</td><td></td></tr></table></p><p><pre class=line-numbers><code class=language-java>SyncGroup Request (Version: 1) => group_id generation_id member_id [group_assignment]
+ group_id => STRING
+ generation_id => INT32
+ member_id => STRING
+ group_assignment => member_id member_assignment
+ member_id => STRING
+ member_assignment => BYTES
+</code></pre><table class=data-table><tbody><tr><th>Field</th><th>Description</th></tr><tr><td>group_id</td><td></td></tr><tr><td>generation_id</td><td></td></tr><tr><td>member_id</td><td></td></tr><tr><td>group_assignment</td><td></td></tr><tr><td>member_id</td><td></td></tr><tr><td>member_assignment</td><td></td></tr></table></p><b>Responses:</b><br><p><pre class=line-numbers><code class=language-java>SyncGroup Response (Version: 0) => error_code member_assignment
+ error_code => INT16
+ member_assignment => BYTES
+</code></pre><table class=data-table><tbody><tr><th>Field</th><th>Description</th></tr><tr><td>error_code</td><td></td></tr><tr><td>member_assignment</td><td></td></tr></table></p><p><pre class=line-numbers><code class=language-java>SyncGroup Response (Version: 1) => throttle_time_ms error_code member_assignment
+ throttle_time_ms => INT32
+ error_code => INT16
+ member_assignment => BYTES
+</code></pre><table class=data-table><tbody><tr><th>Field</th><th>Description</th></tr><tr><td>throttle_time_ms</td><td>Duration in milliseconds for which the request was throttled due to quota violation. (Zero if the request did not violate any quota.)</td></tr><tr><td>error_code</td><td></td></tr><tr><td>member_assignment</td><td></td></tr></table></p><h5><a name=The_Messages_DescribeGroups>DescribeGroups API (Key: 15):</a></h5><b>Requests:</b><br><p><pre class=line-numbers><code class [...]
+ group_ids => STRING
+</code></pre><table class=data-table><tbody><tr><th>Field</th><th>Description</th></tr><tr><td>group_ids</td><td>List of groupIds to request metadata for (an empty groupId array will return empty group metadata).</td></tr></table></p><p><pre class=line-numbers><code class=language-java>DescribeGroups Request (Version: 1) => [group_ids]
+ group_ids => STRING
+</code></pre><table class=data-table><tbody><tr><th>Field</th><th>Description</th></tr><tr><td>group_ids</td><td>List of groupIds to request metadata for (an empty groupId array will return empty group metadata).</td></tr></table></p><b>Responses:</b><br><p><pre class=line-numbers><code class=language-java>DescribeGroups Response (Version: 0) => [groups]
+ groups => error_code group_id state protocol_type protocol [members]
+ error_code => INT16
+ group_id => STRING
+ state => STRING
+ protocol_type => STRING
+ protocol => STRING
+ members => member_id client_id client_host member_metadata member_assignment
+ member_id => STRING
+ client_id => STRING
+ client_host => STRING
+ member_metadata => BYTES
+ member_assignment => BYTES
+</code></pre><table class=data-table><tbody><tr><th>Field</th><th>Description</th></tr><tr><td>groups</td><td></td></tr><tr><td>error_code</td><td></td></tr><tr><td>group_id</td><td></td></tr><tr><td>state</td><td>The current state of the group (one of: Dead, Stable, AwaitingSync, PreparingRebalance, or empty if there is no active group)</td></tr><tr><td>protocol_type</td><td>The current group protocol type (will be empty if there is no active group)</td></tr><tr><td>protocol</td><td>The [...]
+ throttle_time_ms => INT32
+ groups => error_code group_id state protocol_type protocol [members]
+ error_code => INT16
+ group_id => STRING
+ state => STRING
+ protocol_type => STRING
+ protocol => STRING
+ members => member_id client_id client_host member_metadata member_assignment
+ member_id => STRING
+ client_id => STRING
+ client_host => STRING
+ member_metadata => BYTES
+ member_assignment => BYTES
+</code></pre><table class=data-table><tbody><tr><th>Field</th><th>Description</th></tr><tr><td>throttle_time_ms</td><td>Duration in milliseconds for which the request was throttled due to quota violation. (Zero if the request did not violate any quota.)</td></tr><tr><td>groups</td><td></td></tr><tr><td>error_code</td><td></td></tr><tr><td>group_id</td><td></td></tr><tr><td>state</td><td>The current state of the group (one of: Dead, Stable, AwaitingSync, PreparingRebalance, or empty if th [...]
+</code></pre><table class=data-table><tbody><tr><th>Field</th><th>Description</th></tr></table></p><p><pre class=line-numbers><code class=language-java>ListGroups Request (Version: 1) =>
+</code></pre><table class=data-table><tbody><tr><th>Field</th><th>Description</th></tr></table></p><b>Responses:</b><br><p><pre class=line-numbers><code class=language-java>ListGroups Response (Version: 0) => error_code [groups]
+ error_code => INT16
+ groups => group_id protocol_type
+ group_id => STRING
+ protocol_type => STRING
+</code></pre><table class=data-table><tbody><tr><th>Field</th><th>Description</th></tr><tr><td>error_code</td><td></td></tr><tr><td>groups</td><td></td></tr><tr><td>group_id</td><td></td></tr><tr><td>protocol_type</td><td></td></tr></table></p><p><pre class=line-numbers><code class=language-java>ListGroups Response (Version: 1) => throttle_time_ms error_code [groups]
+ throttle_time_ms => INT32
+ error_code => INT16
+ groups => group_id protocol_type
+ group_id => STRING
+ protocol_type => STRING
+</code></pre><table class=data-table><tbody><tr><th>Field</th><th>Description</th></tr><tr><td>throttle_time_ms</td><td>Duration in milliseconds for which the request was throttled due to quota violation. (Zero if the request did not violate any quota.)</td></tr><tr><td>error_code</td><td></td></tr><tr><td>groups</td><td></td></tr><tr><td>group_id</td><td></td></tr><tr><td>protocol_type</td><td></td></tr></table></p><h5><a name=The_Messages_SaslHandshake>SaslHandshake API (Key: 17):</a>< [...]
+ mechanism => STRING
+</code></pre><table class=data-table><tbody><tr><th>Field</th><th>Description</th></tr><tr><td>mechanism</td><td>SASL Mechanism chosen by the client.</td></tr></table></p><b>Responses:</b><br><p><pre class=line-numbers><code class=language-java>SaslHandshake Response (Version: 0) => error_code [enabled_mechanisms]
+ error_code => INT16
+ enabled_mechanisms => STRING
+</code></pre><table class=data-table><tbody><tr><th>Field</th><th>Description</th></tr><tr><td>error_code</td><td></td></tr><tr><td>enabled_mechanisms</td><td>Array of mechanisms enabled in the server.</td></tr></table></p><h5><a name=The_Messages_ApiVersions>ApiVersions API (Key: 18):</a></h5><b>Requests:</b><br><p><pre class=line-numbers><code class=language-java>ApiVersions Request (Version: 0) =>
+</code></pre><table class=data-table><tbody><tr><th>Field</th><th>Description</th></tr></table></p><p><pre class=line-numbers><code class=language-java>ApiVersions Request (Version: 1) =>
+</code></pre><table class=data-table><tbody><tr><th>Field</th><th>Description</th></tr></table></p><b>Responses:</b><br><p><pre class=line-numbers><code class=language-java>ApiVersions Response (Version: 0) => error_code [api_versions]
+ error_code => INT16
+ api_versions => api_key min_version max_version
+ api_key => INT16
+ min_version => INT16
+ max_version => INT16
+</code></pre><table class=data-table><tbody><tr><th>Field</th><th>Description</th></tr><tr><td>error_code</td><td>Error code.</td></tr><tr><td>api_versions</td><td>API versions supported by the broker.</td></tr><tr><td>api_key</td><td>API key.</td></tr><tr><td>min_version</td><td>Minimum supported version.</td></tr><tr><td>max_version</td><td>Maximum supported version.</td></tr></table></p><p><pre class=line-numbers><code class=language-java>ApiVersions Response (Version: 1) => error_cod [...]
+ error_code => INT16
+ api_versions => api_key min_version max_version
+ api_key => INT16
+ min_version => INT16
+ max_version => INT16
+ throttle_time_ms => INT32
+</code></pre><table class=data-table><tbody><tr><th>Field</th><th>Description</th></tr><tr><td>error_code</td><td>Error code.</td></tr><tr><td>api_versions</td><td>API versions supported by the broker.</td></tr><tr><td>api_key</td><td>API key.</td></tr><tr><td>min_version</td><td>Minimum supported version.</td></tr><tr><td>max_version</td><td>Maximum supported version.</td></tr><tr><td>throttle_time_ms</td><td>Duration in milliseconds for which the request was throttled due to quota viol [...]
+ create_topic_requests => topic num_partitions replication_factor [replica_assignment] [config_entries]
+ topic => STRING
+ num_partitions => INT32
+ replication_factor => INT16
+ replica_assignment => partition_id [replicas]
+ partition_id => INT32
+ replicas => INT32
+ config_entries => config_name config_value
+ config_name => STRING
+ config_value => NULLABLE_STRING
+ timeout => INT32
+</code></pre><table class=data-table><tbody><tr><th>Field</th><th>Description</th></tr><tr><td>create_topic_requests</td><td>An array of single topic creation requests. Can not have multiple entries for the same topic.</td></tr><tr><td>topic</td><td>Name for newly created topic.</td></tr><tr><td>num_partitions</td><td>Number of partitions to be created. -1 indicates unset.</td></tr><tr><td>replication_factor</td><td>Replication factor for the topic. -1 indicates unset.</td></tr><tr><td>r [...]
+ create_topic_requests => topic num_partitions replication_factor [replica_assignment] [config_entries]
+ topic => STRING
+ num_partitions => INT32
+ replication_factor => INT16
+ replica_assignment => partition_id [replicas]
+ partition_id => INT32
+ replicas => INT32
+ config_entries => config_name config_value
+ config_name => STRING
+ config_value => NULLABLE_STRING
+ timeout => INT32
+ validate_only => BOOLEAN
+</code></pre><table class=data-table><tbody><tr><th>Field</th><th>Description</th></tr><tr><td>create_topic_requests</td><td>An array of single topic creation requests. Can not have multiple entries for the same topic.</td></tr><tr><td>topic</td><td>Name for newly created topic.</td></tr><tr><td>num_partitions</td><td>Number of partitions to be created. -1 indicates unset.</td></tr><tr><td>replication_factor</td><td>Replication factor for the topic. -1 indicates unset.</td></tr><tr><td>r [...]
+ create_topic_requests => topic num_partitions replication_factor [replica_assignment] [config_entries]
+ topic => STRING
+ num_partitions => INT32
+ replication_factor => INT16
+ replica_assignment => partition_id [replicas]
+ partition_id => INT32
+ replicas => INT32
+ config_entries => config_name config_value
+ config_name => STRING
+ config_value => NULLABLE_STRING
+ timeout => INT32
+ validate_only => BOOLEAN
+</code></pre><table class=data-table><tbody><tr><th>Field</th><th>Description</th></tr><tr><td>create_topic_requests</td><td>An array of single topic creation requests. Can not have multiple entries for the same topic.</td></tr><tr><td>topic</td><td>Name for newly created topic.</td></tr><tr><td>num_partitions</td><td>Number of partitions to be created. -1 indicates unset.</td></tr><tr><td>replication_factor</td><td>Replication factor for the topic. -1 indicates unset.</td></tr><tr><td>r [...]
+ topic_errors => topic error_code
+ topic => STRING
+ error_code => INT16
+</code></pre><table class=data-table><tbody><tr><th>Field</th><th>Description</th></tr><tr><td>topic_errors</td><td>An array of per topic error codes.</td></tr><tr><td>topic</td><td></td></tr><tr><td>error_code</td><td></td></tr></table></p><p><pre class=line-numbers><code class=language-java>CreateTopics Response (Version: 1) => [topic_errors]
+ topic_errors => topic error_code error_message
+ topic => STRING
+ error_code => INT16
+ error_message => NULLABLE_STRING
+</code></pre><table class=data-table><tbody><tr><th>Field</th><th>Description</th></tr><tr><td>topic_errors</td><td>An array of per topic errors.</td></tr><tr><td>topic</td><td></td></tr><tr><td>error_code</td><td></td></tr><tr><td>error_message</td><td></td></tr></table></p><p><pre class=line-numbers><code class=language-java>CreateTopics Response (Version: 2) => throttle_time_ms [topic_errors]
+ throttle_time_ms => INT32
+ topic_errors => topic error_code error_message
+ topic => STRING
+ error_code => INT16
+ error_message => NULLABLE_STRING
+</code></pre><table class=data-table><tbody><tr><th>Field</th><th>Description</th></tr><tr><td>throttle_time_ms</td><td>Duration in milliseconds for which the request was throttled due to quota violation. (Zero if the request did not violate any quota.)</td></tr><tr><td>topic_errors</td><td>An array of per topic errors.</td></tr><tr><td>topic</td><td></td></tr><tr><td>error_code</td><td></td></tr><tr><td>error_message</td><td></td></tr></table></p><h5><a name=The_Messages_DeleteTopics>De [...]
+ topics => STRING
+ timeout => INT32
+</code></pre><table class=data-table><tbody><tr><th>Field</th><th>Description</th></tr><tr><td>topics</td><td>An array of topics to be deleted.</td></tr><tr><td>timeout</td><td>The time in ms to wait for a topic to be completely deleted on the controller node. Values <= 0 will trigger topic deletion and return immediately</td></tr></table></p><p><pre class=line-numbers><code class=language-java>DeleteTopics Request (Version: 1) => [topics] timeout
+ topics => STRING
+ timeout => INT32
+</code></pre><table class=data-table><tbody><tr><th>Field</th><th>Description</th></tr><tr><td>topics</td><td>An array of topics to be deleted.</td></tr><tr><td>timeout</td><td>The time in ms to wait for a topic to be completely deleted on the controller node. Values <= 0 will trigger topic deletion and return immediately</td></tr></table></p><b>Responses:</b><br><p><pre class=line-numbers><code class=language-java>DeleteTopics Response (Version: 0) => [topic_error_codes]
+ topic_error_codes => topic error_code
+ topic => STRING
+ error_code => INT16
+</code></pre><table class=data-table><tbody><tr><th>Field</th><th>Description</th></tr><tr><td>topic_error_codes</td><td>An array of per topic error codes.</td></tr><tr><td>topic</td><td></td></tr><tr><td>error_code</td><td></td></tr></table></p><p><pre class=line-numbers><code class=language-java>DeleteTopics Response (Version: 1) => throttle_time_ms [topic_error_codes]
+ throttle_time_ms => INT32
+ topic_error_codes => topic error_code
+ topic => STRING
+ error_code => INT16
+</code></pre><table class=data-table><tbody><tr><th>Field</th><th>Description</th></tr><tr><td>throttle_time_ms</td><td>Duration in milliseconds for which the request was throttled due to quota violation. (Zero if the request did not violate any quota.)</td></tr><tr><td>topic_error_codes</td><td>An array of per topic error codes.</td></tr><tr><td>topic</td><td></td></tr><tr><td>error_code</td><td></td></tr></table></p><h5><a name=The_Messages_DeleteRecords>DeleteRecords API (Key: 21):</a [...]
+ topics => topic [partitions]
+ topic => STRING
+ partitions => partition offset
+ partition => INT32
+ offset => INT64
+ timeout => INT32
+</code></pre><table class=data-table><tbody><tr><th>Field</th><th>Description</th></tr><tr><td>topics</td><td></td></tr><tr><td>topic</td><td>Topic name.</td></tr><tr><td>partitions</td><td></td></tr><tr><td>partition</td><td>Topic partition id.</td></tr><tr><td>offset</td><td>The offset before which the messages will be deleted.</td></tr><tr><td>timeout</td><td>The maximum time to await a response in ms.</td></tr></table></p><b>Responses:</b><br><p><pre class=line-numbers><code class=la [...]
+ throttle_time_ms => INT32
+ topics => topic [partitions]
+ topic => STRING
+ partitions => partition low_watermark error_code
+ partition => INT32
+ low_watermark => INT64
+ error_code => INT16
+</code></pre><table class=data-table><tbody><tr><th>Field</th><th>Description</th></tr><tr><td>throttle_time_ms</td><td>Duration in milliseconds for which the request was throttled due to quota violation. (Zero if the request did not violate any quota.)</td></tr><tr><td>topics</td><td></td></tr><tr><td>topic</td><td>Topic name.</td></tr><tr><td>partitions</td><td></td></tr><tr><td>partition</td><td>Topic partition id.</td></tr><tr><td>low_watermark</td><td>Smallest available offset of al [...]
+ transactional_id => NULLABLE_STRING
+ transaction_timeout_ms => INT32
+</code></pre><table class=data-table><tbody><tr><th>Field</th><th>Description</th></tr><tr><td>transactional_id</td><td>The transactional id whose producer id we want to retrieve or generate.</td></tr><tr><td>transaction_timeout_ms</td><td>The time in ms to wait for before aborting idle transactions sent by this producer.</td></tr></table></p><b>Responses:</b><br><p><pre class=line-numbers><code class=language-java>InitProducerId Response (Version: 0) => throttle_time_ms error_code produ [...]
+ throttle_time_ms => INT32
+ error_code => INT16
+ producer_id => INT64
+ producer_epoch => INT16
+</code></pre><table class=data-table><tbody><tr><th>Field</th><th>Description</th></tr><tr><td>throttle_time_ms</td><td>Duration in milliseconds for which the request was throttled due to quota violation. (Zero if the request did not violate any quota.)</td></tr><tr><td>error_code</td><td>An integer error code.</td></tr><tr><td>producer_id</td><td>The producer id for the input transactional id. If the input id was empty, then this is used only for ensuring idempotence of messages.</td></ [...]
+ topics => topic [partitions]
+ topic => STRING
+ partitions => partition_id leader_epoch
+ partition_id => INT32
+ leader_epoch => INT32
+</code></pre><table class=data-table><tbody><tr><th>Field</th><th>Description</th></tr><tr><td>topics</td><td>An array of topics to get epochs for</td></tr><tr><td>topic</td><td>The topic</td></tr><tr><td>partitions</td><td>The partition</td></tr><tr><td>partition_id</td><td>The partition_id</td></tr><tr><td>leader_epoch</td><td>The epoch</td></tr></table></p><b>Responses:</b><br><p><pre class=line-numbers><code class=language-java>OffsetForLeaderEpoch Response (Version: 0) => [topics]
+ topics => topic [partitions]
+ topic => STRING
+ partitions => error_code partition_id end_offset
+ error_code => INT16
+ partition_id => INT32
+ end_offset => INT64
+</code></pre><table class=data-table><tbody><tr><th>Field</th><th>Description</th></tr><tr><td>topics</td><td>An array of topics for which we have leader offsets for some requested Partition Leader Epoch</td></tr><tr><td>topic</td><td>The topic</td></tr><tr><td>partitions</td><td>The partition</td></tr><tr><td>error_code</td><td>The error code</td></tr><tr><td>partition_id</td><td>The partition id</td></tr><tr><td>end_offset</td><td>The end offset</td></tr></table></p><h5><a name=The_Mes [...]
+ transactional_id => STRING
+ producer_id => INT64
+ producer_epoch => INT16
+ topics => topic [partitions]
+ topic => STRING
+ partitions => INT32
+</code></pre><table class=data-table><tbody><tr><th>Field</th><th>Description</th></tr><tr><td>transactional_id</td><td>The transactional id corresponding to the transaction.</td></tr><tr><td>producer_id</td><td>Current producer id in use by the transactional id.</td></tr><tr><td>producer_epoch</td><td>Current epoch associated with the producer id.</td></tr><tr><td>topics</td><td>The partitions to add to the transaction.</td></tr><tr><td>topic</td><td></td></tr><tr><td>partitions</td><td [...]
+ throttle_time_ms => INT32
+ errors => topic [partition_errors]
+ topic => STRING
+ partition_errors => partition error_code
+ partition => INT32
+ error_code => INT16
+</code></pre><table class=data-table><tbody><tr><th>Field</th><th>Description</th></tr><tr><td>throttle_time_ms</td><td>Duration in milliseconds for which the request was throttled due to quota violation. (Zero if the request did not violate any quota.)</td></tr><tr><td>errors</td><td></td></tr><tr><td>topic</td><td></td></tr><tr><td>partition_errors</td><td></td></tr><tr><td>partition</td><td></td></tr><tr><td>error_code</td><td></td></tr></table></p><h5><a name=The_Messages_AddOffsetsT [...]
+ transactional_id => STRING
+ producer_id => INT64
+ producer_epoch => INT16
+ consumer_group_id => STRING
+</code></pre><table class=data-table><tbody><tr><th>Field</th><th>Description</th></tr><tr><td>transactional_id</td><td>The transactional id corresponding to the transaction.</td></tr><tr><td>producer_id</td><td>Current producer id in use by the transactional id.</td></tr><tr><td>producer_epoch</td><td>Current epoch associated with the producer id.</td></tr><tr><td>consumer_group_id</td><td>Consumer group id whose offsets should be included in the transaction.</td></tr></table></p><b>Res [...]
+ throttle_time_ms => INT32
+ error_code => INT16
+</code></pre><table class=data-table><tbody><tr><th>Field</th><th>Description</th></tr><tr><td>throttle_time_ms</td><td>Duration in milliseconds for which the request was throttled due to quota violation. (Zero if the request did not violate any quota.)</td></tr><tr><td>error_code</td><td>An integer error code.</td></tr></table></p><h5><a name=The_Messages_EndTxn>EndTxn API (Key: 26):</a></h5><b>Requests:</b><br><p><pre class=line-numbers><code class=language-java>EndTxn Request (Version [...]
+ transactional_id => STRING
+ producer_id => INT64
+ producer_epoch => INT16
+ transaction_result => BOOLEAN
+</code></pre><table class=data-table><tbody><tr><th>Field</th><th>Description</th></tr><tr><td>transactional_id</td><td>The transactional id corresponding to the transaction.</td></tr><tr><td>producer_id</td><td>Current producer id in use by the transactional id.</td></tr><tr><td>producer_epoch</td><td>Current epoch associated with the producer id.</td></tr><tr><td>transaction_result</td><td>The result of the transaction (0 = ABORT, 1 = COMMIT)</td></tr></table></p><b>Responses:</b><br>< [...]
+ throttle_time_ms => INT32
+ error_code => INT16
+</code></pre><table class=data-table><tbody><tr><th>Field</th><th>Description</th></tr><tr><td>throttle_time_ms</td><td>Duration in milliseconds for which the request was throttled due to quota violation. (Zero if the request did not violate any quota.)</td></tr><tr><td>error_code</td><td>An integer error code.</td></tr></table></p><h5><a name=The_Messages_WriteTxnMarkers>WriteTxnMarkers API (Key: 27):</a></h5><b>Requests:</b><br><p><pre class=line-numbers><code class=language-java>Write [...]
+ transaction_markers => producer_id producer_epoch transaction_result [topics] coordinator_epoch
+ producer_id => INT64
+ producer_epoch => INT16
+ transaction_result => BOOLEAN
+ topics => topic [partitions]
+ topic => STRING
+ partitions => INT32
+ coordinator_epoch => INT32
+</code></pre><table class=data-table><tbody><tr><th>Field</th><th>Description</th></tr><tr><td>transaction_markers</td><td>The transaction markers to be written.</td></tr><tr><td>producer_id</td><td>Current producer id in use by the transactional id.</td></tr><tr><td>producer_epoch</td><td>Current epoch associated with the producer id.</td></tr><tr><td>transaction_result</td><td>The result of the transaction to write to the partitions (false = ABORT, true = COMMIT).</td></tr><tr><td>topi [...]
+ transaction_markers => producer_id [topics]
+ producer_id => INT64
+ topics => topic [partitions]
+ topic => STRING
+ partitions => partition error_code
+ partition => INT32
+ error_code => INT16
+</code></pre><table class=data-table><tbody><tr><th>Field</th><th>Description</th></tr><tr><td>transaction_markers</td><td>Errors per partition from writing markers.</td></tr><tr><td>producer_id</td><td>Current producer id in use by the transactional id.</td></tr><tr><td>topics</td><td>Errors per partition from writing markers.</td></tr><tr><td>topic</td><td></td></tr><tr><td>partitions</td><td></td></tr><tr><td>partition</td><td></td></tr><tr><td>error_code</td><td></td></tr></table></p [...]
+ transactional_id => STRING
+ consumer_group_id => STRING
+ producer_id => INT64
+ producer_epoch => INT16
+ topics => topic [partitions]
+ topic => STRING
+ partitions => partition offset metadata
+ partition => INT32
+ offset => INT64
+ metadata => NULLABLE_STRING
+</code></pre><table class=data-table><tbody><tr><th>Field</th><th>Description</th></tr><tr><td>transactional_id</td><td>The transactional id corresponding to the transaction.</td></tr><tr><td>consumer_group_id</td><td>Id of the associated consumer group to commit offsets for.</td></tr><tr><td>producer_id</td><td>Current producer id in use by the transactional id.</td></tr><tr><td>producer_epoch</td><td>Current epoch associated with the producer id.</td></tr><tr><td>topics</td><td>The par [...]
+ throttle_time_ms => INT32
+ topics => topic [partitions]
+ topic => STRING
+ partitions => partition error_code
+ partition => INT32
+ error_code => INT16
+</code></pre><table class=data-table><tbody><tr><th>Field</th><th>Description</th></tr><tr><td>throttle_time_ms</td><td>Duration in milliseconds for which the request was throttled due to quota violation. (Zero if the request did not violate any quota.)</td></tr><tr><td>topics</td><td>Errors per partition from writing markers.</td></tr><tr><td>topic</td><td></td></tr><tr><td>partitions</td><td></td></tr><tr><td>partition</td><td></td></tr><tr><td>error_code</td><td></td></tr></table></p> [...]
+ resource_type => INT8
+ resource_name => NULLABLE_STRING
+ principal => NULLABLE_STRING
+ host => NULLABLE_STRING
+ operation => INT8
+ permission_type => INT8
+</code></pre><table class=data-table><tbody><tr><th>Field</th><th>Description</th></tr><tr><td>resource_type</td><td>The filter resource type.</td></tr><tr><td>resource_name</td><td>The filter resource name.</td></tr><tr><td>principal</td><td>The filter principal name.</td></tr><tr><td>host</td><td>The filter ip address.</td></tr><tr><td>operation</td><td>The filter operation type.</td></tr><tr><td>permission_type</td><td>The filter permission type.</td></tr></table></p><b>Responses:</b> [...]
+ throttle_time_ms => INT32
+ error_code => INT16
+ error_message => NULLABLE_STRING
+ resources => resource_type resource_name [acls]
+ resource_type => INT8
+ resource_name => STRING
+ acls => principal host operation permission_type
+ principal => STRING
+ host => STRING
+ operation => INT8
+ permission_type => INT8
+</code></pre><table class=data-table><tbody><tr><th>Field</th><th>Description</th></tr><tr><td>throttle_time_ms</td><td>Duration in milliseconds for which the request was throttled due to quota violation. (Zero if the request did not violate any quota.)</td></tr><tr><td>error_code</td><td>The error code.</td></tr><tr><td>error_message</td><td>The error message.</td></tr><tr><td>resources</td><td>The resources and their associated ACLs.</td></tr><tr><td>resource_type</td><td>The resource [...]
+ creations => resource_type resource_name principal host operation permission_type
+ resource_type => INT8
+ resource_name => STRING
+ principal => STRING
+ host => STRING
+ operation => INT8
+ permission_type => INT8
+</code></pre><table class=data-table><tbody><tr><th>Field</th><th>Description</th></tr><tr><td>creations</td><td></td></tr><tr><td>resource_type</td><td>The resource type.</td></tr><tr><td>resource_name</td><td>The resource name.</td></tr><tr><td>principal</td><td>The principal.</td></tr><tr><td>host</td><td>The ip address.</td></tr><tr><td>operation</td><td>The ACL operation</td></tr><tr><td>permission_type</td><td>The ACL permission type</td></tr></table></p><b>Responses:</b><br><p><pr [...]
+ throttle_time_ms => INT32
+ creation_responses => error_code error_message
+ error_code => INT16
+ error_message => NULLABLE_STRING
+</code></pre><table class=data-table><tbody><tr><th>Field</th><th>Description</th></tr><tr><td>throttle_time_ms</td><td>Duration in milliseconds for which the request was throttled due to quota violation. (Zero if the request did not violate any quota.)</td></tr><tr><td>creation_responses</td><td></td></tr><tr><td>error_code</td><td>The error code.</td></tr><tr><td>error_message</td><td>The error message.</td></tr></table></p><h5><a name=The_Messages_DeleteAcls>DeleteAcls API (Key: 31):< [...]
+ filters => resource_type resource_name principal host operation permission_type
+ resource_type => INT8
+ resource_name => NULLABLE_STRING
+ principal => NULLABLE_STRING
+ host => NULLABLE_STRING
+ operation => INT8
+ permission_type => INT8
+</code></pre><table class=data-table><tbody><tr><th>Field</th><th>Description</th></tr><tr><td>filters</td><td></td></tr><tr><td>resource_type</td><td>The resource type filter.</td></tr><tr><td>resource_name</td><td>The resource name filter.</td></tr><tr><td>principal</td><td>The principal filter.</td></tr><tr><td>host</td><td>The ip address filter.</td></tr><tr><td>operation</td><td>The ACL operation filter.</td></tr><tr><td>permission_type</td><td>The ACL permission type filter.</td></ [...]
+ throttle_time_ms => INT32
+ filter_responses => error_code error_message [matching_acls]
+ error_code => INT16
+ error_message => NULLABLE_STRING
+ matching_acls => error_code error_message resource_type resource_name principal host operation permission_type
+ error_code => INT16
+ error_message => NULLABLE_STRING
+ resource_type => INT8
+ resource_name => STRING
+ principal => STRING
+ host => STRING
+ operation => INT8
+ permission_type => INT8
+</code></pre><table class=data-table><tbody><tr><th>Field</th><th>Description</th></tr><tr><td>throttle_time_ms</td><td>Duration in milliseconds for which the request was throttled due to quota violation. (Zero if the request did not violate any quota.)</td></tr><tr><td>filter_responses</td><td></td></tr><tr><td>error_code</td><td>The error code.</td></tr><tr><td>error_message</td><td>The error message.</td></tr><tr><td>matching_acls</td><td>The matching ACLs</td></tr><tr><td>error_code< [...]
+ resources => resource_type resource_name [config_names]
+ resource_type => INT8
+ resource_name => STRING
+ config_names => STRING
+</code></pre><table class=data-table><tbody><tr><th>Field</th><th>Description</th></tr><tr><td>resources</td><td>An array of config resources to be returned.</td></tr><tr><td>resource_type</td><td></td></tr><tr><td>resource_name</td><td></td></tr><tr><td>config_names</td><td></td></tr></table></p><b>Responses:</b><br><p><pre class=line-numbers><code class=language-java>DescribeConfigs Response (Version: 0) => throttle_time_ms [resources]
+ throttle_time_ms => INT32
+ resources => error_code error_message resource_type resource_name [config_entries]
+ error_code => INT16
+ error_message => NULLABLE_STRING
+ resource_type => INT8
+ resource_name => STRING
+ config_entries => config_name config_value read_only is_default is_sensitive
+ config_name => STRING
+ config_value => NULLABLE_STRING
+ read_only => BOOLEAN
+ is_default => BOOLEAN
+ is_sensitive => BOOLEAN
+</code></pre><table class=data-table><tbody><tr><th>Field</th><th>Description</th></tr><tr><td>throttle_time_ms</td><td>Duration in milliseconds for which the request was throttled due to quota violation. (Zero if the request did not violate any quota.)</td></tr><tr><td>resources</td><td></td></tr><tr><td>error_code</td><td></td></tr><tr><td>error_message</td><td></td></tr><tr><td>resource_type</td><td></td></tr><tr><td>resource_name</td><td></td></tr><tr><td>config_entries</td><td></td> [...]
+ resources => resource_type resource_name [config_entries]
+ resource_type => INT8
+ resource_name => STRING
+ config_entries => config_name config_value
+ config_name => STRING
+ config_value => NULLABLE_STRING
+ validate_only => BOOLEAN
+</code></pre><table class=data-table><tbody><tr><th>Field</th><th>Description</th></tr><tr><td>resources</td><td>An array of resources to update with the provided configs.</td></tr><tr><td>resource_type</td><td></td></tr><tr><td>resource_name</td><td></td></tr><tr><td>config_entries</td><td></td></tr><tr><td>config_name</td><td>Configuration name</td></tr><tr><td>config_value</td><td>Configuration value</td></tr><tr><td>validate_only</td><td></td></tr></table></p><b>Responses:</b><br><p> [...]
+ throttle_time_ms => INT32
+ resources => error_code error_message resource_type resource_name
+ error_code => INT16
+ error_message => NULLABLE_STRING
+ resource_type => INT8
+ resource_name => STRING
+</code></pre><table class=data-table><tbody><tr><th>Field</th><th>Description</th></tr><tr><td>throttle_time_ms</td><td>Duration in milliseconds for which the request was throttled due to quota violation. (Zero if the request did not violate any quota.)</td></tr><tr><td>resources</td><td></td></tr><tr><td>error_code</td><td></td></tr><tr><td>error_message</td><td></td></tr><tr><td>resource_type</td><td></td></tr><tr><td>resource_name</td><td></td></tr></table></p><h3 id=some-common-philo [...]
+
+ /* Sends the data, partitioned by key to the topic using either the */
+ /* synchronous or the asynchronous producer */
+ public void send(kafka.javaapi.producer.ProducerData<K,V> producerData);
+
+ /* Sends a list of data, partitioned by key to the topic using either */
+ /* the synchronous or the asynchronous producer */
+ public void send(java.util.List<kafka.javaapi.producer.ProducerData<K,V>> producerData);
+
+ /* Closes the producer and cleans up */
+ public void close();
+
+}
+</code></pre><p>The goal is to expose all the producer functionality through a single API to the client. The new producer -</p><ul><li>can handle queueing/buffering of multiple producer requests and asynchronous dispatch of the batched data -</li></ul><p><code>kafka.producer.Producer</code> provides the ability to batch multiple produce requests (<code>producer.type=async</code>), before serializing and dispatching them to the appropriate kafka broker partition. The size of the batch can [...]
+ public Message toMessage(T data);
+}
+</code></pre></li></ul><p>The default is the no-op <code>kafka.serializer.DefaultEncoder</code></p><ul><li>provides software load balancing through an optionally user-specified <code>Partitioner</code>:</li></ul><p>The routing decision is influenced by the <code>kafka.producer.Partitioner</code>.</p><pre><code> interface Partitioner<T> {
+ int partition(T key, int numPartitions);
+ }
+</code></pre><p>The partition API uses the key and the number of available broker partitions to return a partition id. This id is used as an index into a sorted list of broker_ids and partitions to pick a broker partition for the producer request. The default partitioning strategy is <code>hash(key)%numPartitions</code>. If the key is null, then a random broker partition is picked. A custom partitioning strategy can also be plugged in using the <code>partitioner.class</code> config param [...]
+
+ /* Send fetch request to a broker and get back a set of messages. */
+ public ByteBufferMessageSet fetch(FetchRequest request);
+
+ /* Send a list of fetch requests to a broker and get back a response set. */
+ public MultiFetchResponse multifetch(List<FetchRequest> fetches);
+
+ /**
+ * Get a list of valid offsets (up to maxSize) before the given time.
+ * The result is a list of offsets, in descending order.
+ * @param time: time in millisecs,
+ * if set to OffsetRequest$.MODULE$.LATEST_TIME(), get from the latest offset available.
+ * if set to OffsetRequest$.MODULE$.EARLIEST_TIME(), get from the earliest offset available.
+ */
+ public long[] getOffsetsBefore(String topic, int partition, long time, int maxNumOffsets);
+}
+</code></pre><p>The low-level API is used to implement the high-level API as well as being used directly for some of our offline consumers which have particular requirements around maintaining state.</p><h3 id=high-level-api>High-level API<a class=td-heading-self-link href=#high-level-api aria-label="Heading self-link"></a></h3><pre><code>/* create a connection to the cluster */
+ConsumerConnector connector = Consumer.create(consumerConfig);
+
+interface ConsumerConnector {
+
+ /**
+ * This method is used to get a list of KafkaStreams, which are iterators over
+ * MessageAndMetadata objects from which you can obtain messages and their
+ * associated metadata (currently only topic).
+ * Input: a map of <topic, #streams>
+ * Output: a map of <topic, list of message streams>
+ */
+ public Map<String,List<KafkaStream>> createMessageStreams(Map<String,Int> topicCountMap);
+
+ /**
+ * You can also obtain a list of KafkaStreams, that iterate over messages
+ * from topics that match a TopicFilter. (A TopicFilter encapsulates a
+ * whitelist or a blacklist which is a standard Java regex.)
+ */
+ public List<KafkaStream> createMessageStreamsByFilter(
+ TopicFilter topicFilter, int numStreams);
+
+ /* Commit the offsets of all messages consumed so far. */
+ public commitOffsets()
+
+ /* Shut down the connector */
+ public shutdown()
+}
+</code></pre><p>This API is centered around iterators, implemented by the KafkaStream class. Each KafkaStream represents the stream of messages from one or more partitions on one or more servers. Each stream is used for single threaded processing, so the client can provide the number of desired streams in the create call. Thus a stream may represent the merging of multiple server partitions (to correspond to the number of processing threads), but each partition only goes to one stream.</ [...]
+ * 1. 4 byte CRC32 of the message
+ * 2. 1 byte "magic" identifier to allow format changes, value is 0 or 1
+ * 3. 1 byte "attributes" identifier to allow annotations on the message independent of the version
+ * bit 0 ~ 2 : Compression codec.
+ * 0 : no compression
+ * 1 : gzip
+ * 2 : snappy
+ * 3 : lz4
+ * bit 3 : Timestamp type
+ * 0 : create time
+ * 1 : log append time
+ * bit 4 ~ 7 : reserved
+ * 4. (Optional) 8 byte timestamp only if "magic" identifier is greater than 0
+ * 5. 4 byte key length, containing length K
+ * 6. K byte key
+ * 7. 4 byte payload length, containing length V
+ * 8. V byte payload
+ */
+</code></pre></div><div class=td-content style=page-break-before:always><h1 id=pg-f8552dec4d9c74a83716103eba3642be>5.5 - Log</h1><div class=lead>Log</div><p>A log for a topic named “my_topic” with two partitions consists of two directories (namely <code>my_topic_0</code> and <code>my_topic_1</code>) populated with data files containing the messages for that topic. The format of the log files is a sequence of “log entries”"; each log entry is a 4 byte integer <em>N [...]
+
+offset : 8 bytes
+message length : 4 bytes (value: 4 + 1 + 1 + 8(if magic value > 0) + 4 + K + 4 + V)
+crc : 4 bytes
+magic value : 1 byte
+attributes : 1 byte
+timestamp : 8 bytes (Only exists when magic value is greater than zero)
+key length : 4 bytes
+key : K bytes
+value length : 4 bytes
+value : V bytes
+</code></pre><p>The use of the message offset as the message id is unusual. Our original idea was to use a GUID generated by the producer, and maintain a mapping from GUID to offset on each broker. But since a consumer must maintain an ID for each server, the global uniqueness of the GUID provides no value. Furthermore the complexity of maintaining the mapping from a random id to an offset requires a heavy weight index structure which must be synchronized with disk, essentially requiring [...]
+
+total length : 4 bytes
+error code : 2 bytes
+message 1 : x bytes
+...
+message n : x bytes
+
+
+
+MultiMessageSetSend (multiFetch result)
+
+total length : 4 bytes
+error code : 2 bytes
+messageSetSend 1
+...
+messageSetSend n
+</code></pre><h2 id=deletes>Deletes<a class=td-heading-self-link href=#deletes aria-label="Heading self-link"></a></h2><p>Data is deleted one log segment at a time. The log manager allows pluggable delete policies to choose which files are eligible for deletion. The current policy deletes any log with a modification time of more than <em>N</em> days ago, though a policy which retained the last <em>N</em> GB could also be useful. To avoid locking reads while still allowing deletes that mo [...]
+</code></pre><p>This is a list of all present broker nodes, each of which provides a unique logical broker id which identifies it to consumers (which must be given as part of its configuration). On startup, a broker node registers itself by creating a znode with the logical broker id under /brokers/ids. The purpose of the logical broker id is to allow a broker to be moved to a different physical machine without affecting consumers. An attempt to register a broker id that is already in us [...]
+</code></pre><p>Each broker registers itself under the topics it maintains and stores the number of partitions for that topic.</p><h2 id=consumers-and-consumer-groups>Consumers and Consumer Groups<a class=td-heading-self-link href=#consumers-and-consumer-groups aria-label="Heading self-link"></a></h2><p>Consumers of topics also register themselves in ZooKeeper, in order to coordinate with each other and balance the consumption of data. Consumers can also store their offsets in ZooKeeper [...]
+</code></pre><p>Each of the consumers in the group registers under its group and creates a znode with its consumer_id. The value of the znode contains a map of <topic, #streams>. This id is simply used to identify each of the consumers which is currently active within a group. This is an ephemeral node so it will disappear if the consumer process dies.</p><h2 id=consumer-offsets>Consumer Offsets<a class=td-heading-self-link href=#consumer-offsets aria-label="Heading self-link"></a></h [...]
+</code></pre><h2 id=partition-owner-registry>Partition Owner registry<a class=td-heading-self-link href=#partition-owner-registry aria-label="Heading self-link"></a></h2><p>Each broker partition is consumed by a single consumer within a given consumer group. The consumer must establish its ownership of a given partition before any consumption can begin. To establish its ownership, a consumer writes its own id in an ephemeral node under the particular broker partition it is claiming.</p>< [...]
+</code></pre><h2 id=broker-node-registration>Broker node registration<a class=td-heading-self-link href=#broker-node-registration aria-label="Heading self-link"></a></h2><p>The broker nodes are basically independent, so they only publish information about what they have. When a broker joins, it registers itself under the broker node registry directory and writes information about its host name and port. The broker also register the list of existing topics and their logical partitions in [...]
+ 2. let PT be all partitions producing topic T
+ 3. let CG be all consumers in the same group as Ci that consume topic T
+ 4. sort PT (so partitions on the same broker are clustered together)
+ 5. sort CG
+ 6. let i be the index position of Ci in CG and let N = size(PT)/size(CG)
+ 7. assign partitions from i*N to (i+1)*N - 1 to consumer Ci
+ 8. remove current entries owned by Ci from the partition owner registry
+ 9. add newly assigned partitions to the partition owner registry
+ (we may need to re-try this until the original partition owner releases its ownership)
+</code></pre><p>When rebalancing is triggered at one consumer, rebalancing should be triggered in other consumers within the same group about the same time.</p></div><div class=td-content style=page-break-before:always><h1 id=pg-d7bb158e907f44c4ebb4ff183a2ac4c2>6 - Operations</h1></div><div class=td-content><h1 id=pg-3013fa6d21e921e86e29edb4323ef340>6.1 - Basic Kafka Operations</h1><div class=lead>Basic Kafka Operations</div><p>This section will review the most common operations you will [...]
+ --partitions 20 --replication-factor 3 --config x=y
+</code></pre><p>The replication factor controls how many servers will replicate each message that is written. If you have a replication factor of 3 then up to 2 servers can fail before you will lose access to your data. We recommend you use a replication factor of 2 or 3 so that you can transparently bounce machines without interrupting data consumption.</p><p>The partition count controls how many logs the topic will be sharded into. There are several impacts of the partition count. Firs [...]
+ --partitions 40
+</code></pre><p>Be aware that one use case for partitions is to semantically partition data, and adding partitions doesn’t change the partitioning of existing data so this may disturb consumers if they rely on that partition. That is if data is partitioned by <code>hash(key) % number_of_partitions</code> then this partitioning will potentially be shuffled by adding partitions but Kafka will not attempt to automatically redistribute data in any way.</p><p>To add configs:</p><pre><co [...]
+</code></pre><p>To remove a config:</p><pre><code> > bin/kafka-topics.sh --zookeeper zk_host:port/chroot --alter --topic my_topic_name --delete-config x
+</code></pre><p>And finally deleting a topic:</p><pre><code> > bin/kafka-topics.sh --zookeeper zk_host:port/chroot --delete --topic my_topic_name
+</code></pre><p>Topic deletion option is disabled by default. To enable it set the server config</p><pre><code>delete.topic.enable=true
+</code></pre><p>Kafka does not currently support reducing the number of partitions for a topic.</p><p>Instructions for changing the replication factor of a topic can be found here.</p><h2 id=graceful-shutdown>Graceful shutdown<a class=td-heading-self-link href=#graceful-shutdown aria-label="Heading self-link"></a></h2><p>The Kafka cluster will automatically detect any broker shutdown or failure and elect new leaders for the partitions on that machine. This will occur whether a server fai [...]
+Syncing the logs will happen automatically whenever the server is stopped other than by a hard kill, but the controlled leadership migration requires using a special setting:</p><p>controlled.shutdown.enable=true</p></li></ol><p>Note that controlled shutdown will only succeed if <em>all</em> the partitions hosted on the broker have replicas (i.e. the replication factor is greater than 1 <em>and</em> at least one of these replicas is alive). This is generally what you want since shutting [...]
+</code></pre><p>Since running this command can be tedious you can also configure Kafka to do this automatically by setting the following configuration:</p><pre><code> auto.leader.rebalance.enable=true
+</code></pre><h2 id=balancing-replicas-across-racks>Balancing Replicas Across Racks<a class=td-heading-self-link href=#balancing-replicas-across-racks aria-label="Heading self-link"></a></h2><p>The rack awareness feature spreads replicas of the same partition across different racks. This extends the guarantees Kafka provides for broker-failure to cover rack-failure, limiting the risk of data loss should all the brokers on a rack fail at once. The feature can also be applied to other brok [...]
+</code></pre><p>When a topic is created, modified or replicas are redistributed, the rack constraint will be honoured, ensuring replicas span as many racks as they can (a partition will span min(#racks, replication-factor) different racks).</p><p>The algorithm used to assign replicas to brokers ensures that the number of leaders per broker will be constant, regardless of how brokers are distributed across racks. This ensures balanced throughput.</p><p>However if racks are assigned differ [...]
+ --consumer.config consumer-1.properties --consumer.config consumer-2.properties
+ --producer.config producer.properties --whitelist my-topic
+</code></pre><p>Note that we specify the list of topics with the <code>--whitelist</code> option. This option allows any regular expression using <a href=http://docs.oracle.com/javase/7/docs/api/java/util/regex/Pattern.html>Java-style regular expressions</a>. So you could mirror two topics named <em>A</em> and <em>B</em> using <code>--whitelist 'A|B'</code>. Or you could mirror <em>all</em> topics using <code>--whitelist '*'</code>. Make sure to quote any regular expression to ensure the [...]
+Group Topic Pid Offset logSize Lag Owner
+my-group my-topic 0 0 0 0 test_jkreps-mn-1394154511599-60744496-0
+my-group my-topic 1 0 0 0 test_jkreps-mn-1394154521217-1a0be913-0
+</code></pre><p>Note, however, after 0.9.0, the kafka.tools.ConsumerOffsetChecker tool is deprecated and you should use the kafka.admin.ConsumerGroupCommand (or the bin/kafka-consumer-groups.sh script) to manage consumer groups, including consumers created with the <a href=http://kafka.apache.org/documentation.html#newconsumerapi>new consumer API</a>.</p><h2 id=managing-consumer-groups>Managing Consumer Groups<a class=td-heading-self-link href=#managing-consumer-groups aria-label="Headin [...]
+
+test-consumer-group
+</code></pre><p>To view offsets as in the previous example with the ConsumerOffsetChecker, we “describe” the consumer group like this:</p><pre><code> > bin/kafka-consumer-groups.sh --zookeeper localhost:2181 --describe --group test-consumer-group
+
+GROUP TOPIC PARTITION CURRENT-OFFSET LOG-END-OFFSET LAG OWNER
+test-consumer-group test-foo 0 1 3 2 test-consumer-group_postamac.local-1456198719410-29ccd54f-0
+</code></pre><p>When you’re using the <a href=http://kafka.apache.org/documentation.html#newconsumerapi>new consumer API</a> where the broker handles coordination of partition handling and rebalance, you can manage the groups with the “–new-consumer” flags:</p><pre><code> > bin/kafka-consumer-groups.sh --new-consumer --bootstrap-server broker1:9092 --list
+</code></pre><h2 id=expanding-your-cluster>Expanding your cluster<a class=td-heading-self-link href=#expanding-your-cluster aria-label="Heading self-link"></a></h2><p>Adding servers to a Kafka cluster is easy, just assign them a unique broker id and start up Kafka on your new servers. However these new servers will not automatically be assigned any data partitions, so unless partitions are moved to them they won’t be doing any work until new topics are created. So usually when you [...]
+{"topics": [{"topic": "foo1"},
+ {"topic": "foo2"}],
+ "version":1
+}
+</code></pre><p>Once the json file is ready, use the partition reassignment tool to generate a candidate assignment:</p><pre><code>> bin/kafka-reassign-partitions.sh --zookeeper localhost:2181 --topics-to-move-json-file topics-to-move.json --broker-list "5,6" --generate
+Current partition replica assignment
+
+{"version":1,
+ "partitions":[{"topic":"foo1","partition":2,"replicas":[1,2]},
+ {"topic":"foo1","partition":0,"replicas":[3,4]},
+ {"topic":"foo2","partition":2,"replicas":[1,2]},
+ {"topic":"foo2","partition":0,"replicas":[3,4]},
+ {"topic":"foo1","partition":1,"replicas":[2,3]},
+ {"topic":"foo2","partition":1,"replicas":[2,3]}]
+}
+
+Proposed partition reassignment configuration
+
+{"version":1,
+ "partitions":[{"topic":"foo1","partition":2,"replicas":[5,6]},
+ {"topic":"foo1","partition":0,"replicas":[5,6]},
+ {"topic":"foo2","partition":2,"replicas":[5,6]},
+ {"topic":"foo2","partition":0,"replicas":[5,6]},
+ {"topic":"foo1","partition":1,"replicas":[5,6]},
+ {"topic":"foo2","partition":1,"replicas":[5,6]}]
+}
+</code></pre><p>The tool generates a candidate assignment that will move all partitions from topics foo1,foo2 to brokers 5,6. Note, however, that at this point, the partition movement has not started, it merely tells you the current assignment and the proposed new assignment. The current assignment should be saved in case you want to rollback to it. The new assignment should be saved in a json file (e.g. expand-cluster-reassignment.json) to be input to the tool with the –execute op [...]
+Current partition replica assignment
+
+{"version":1,
+ "partitions":[{"topic":"foo1","partition":2,"replicas":[1,2]},
+ {"topic":"foo1","partition":0,"replicas":[3,4]},
+ {"topic":"foo2","partition":2,"replicas":[1,2]},
+ {"topic":"foo2","partition":0,"replicas":[3,4]},
+ {"topic":"foo1","partition":1,"replicas":[2,3]},
+ {"topic":"foo2","partition":1,"replicas":[2,3]}]
+}
+
+Save this to use as the --reassignment-json-file option during rollback
+Successfully started reassignment of partitions
+{"version":1,
+ "partitions":[{"topic":"foo1","partition":2,"replicas":[5,6]},
+ {"topic":"foo1","partition":0,"replicas":[5,6]},
+ {"topic":"foo2","partition":2,"replicas":[5,6]},
+ {"topic":"foo2","partition":0,"replicas":[5,6]},
+ {"topic":"foo1","partition":1,"replicas":[5,6]},
+ {"topic":"foo2","partition":1,"replicas":[5,6]}]
+}
+</code></pre><p>Finally, the –verify option can be used with the tool to check the status of the partition reassignment. Note that the same expand-cluster-reassignment.json (used with the –execute option) should be used with the –verify option:</p><pre><code>> bin/kafka-reassign-partitions.sh --zookeeper localhost:2181 --reassignment-json-file expand-cluster-reassignment.json --verify
+Status of partition reassignment:
+Reassignment of partition [foo1,0] completed successfully
+Reassignment of partition [foo1,1] is in progress
+Reassignment of partition [foo1,2] is in progress
+Reassignment of partition [foo2,0] completed successfully
+Reassignment of partition [foo2,1] completed successfully
+Reassignment of partition [foo2,2] completed successfully
+</code></pre><h3 id=custom-partition-assignment-and-migration>Custom partition assignment and migration<a class=td-heading-self-link href=#custom-partition-assignment-and-migration aria-label="Heading self-link"></a></h3><p>The partition reassignment tool can also be used to selectively move replicas of a partition to a specific set of brokers. When used in this manner, it is assumed that the user knows the reassignment plan and does not require the tool to generate a candidate reassignm [...]
+{"version":1,"partitions":[{"topic":"foo1","partition":0,"replicas":[5,6]},{"topic":"foo2","partition":1,"replicas":[2,3]}]}
+</code></pre><p>Then, use the json file with the –execute option to start the reassignment process:</p><pre><code>> bin/kafka-reassign-partitions.sh --zookeeper localhost:2181 --reassignment-json-file custom-reassignment.json --execute
+Current partition replica assignment
+
+{"version":1,
+ "partitions":[{"topic":"foo1","partition":0,"replicas":[1,2]},
+ {"topic":"foo2","partition":1,"replicas":[3,4]}]
+}
+
+Save this to use as the --reassignment-json-file option during rollback
+Successfully started reassignment of partitions
+{"version":1,
+ "partitions":[{"topic":"foo1","partition":0,"replicas":[5,6]},
+ {"topic":"foo2","partition":1,"replicas":[2,3]}]
+}
+</code></pre><p>The –verify option can be used with the tool to check the status of the partition reassignment. Note that the same expand-cluster-reassignment.json (used with the –execute option) should be used with the –verify option:</p><pre><code>bin/kafka-reassign-partitions.sh --zookeeper localhost:2181 --reassignment-json-file custom-reassignment.json --verify
+Status of partition reassignment:
+Reassignment of partition [foo1,0] completed successfully
+Reassignment of partition [foo2,1] completed successfully
+</code></pre><h2 id=decommissioning-brokers>Decommissioning brokers<a class=td-heading-self-link href=#decommissioning-brokers aria-label="Heading self-link"></a></h2><p>The partition reassignment tool does not have the ability to automatically generate a reassignment plan for decommissioning brokers yet. As such, the admin has to come up with a reassignment plan to move the replica for all partitions hosted on the broker to be decommissioned, to the rest of the brokers. This can be rela [...]
+{"version":1,
+ "partitions":[{"topic":"foo","partition":0,"replicas":[5,6,7]}]}
+</code></pre><p>Then, use the json file with the –execute option to start the reassignment process:</p><pre><code>> bin/kafka-reassign-partitions.sh --zookeeper localhost:2181 --reassignment-json-file increase-replication-factor.json --execute
+Current partition replica assignment
+
+{"version":1,
+ "partitions":[{"topic":"foo","partition":0,"replicas":[5]}]}
+
+Save this to use as the --reassignment-json-file option during rollback
+Successfully started reassignment of partitions
+{"version":1,
+ "partitions":[{"topic":"foo","partition":0,"replicas":[5,6,7]}]}
+</code></pre><p>The –verify option can be used with the tool to check the status of the partition reassignment. Note that the same increase-replication-factor.json (used with the –execute option) should be used with the –verify option:</p><pre><code>bin/kafka-reassign-partitions.sh --zookeeper localhost:2181 --reassignment-json-file increase-replication-factor.json --verify
+Status of partition reassignment:
+Reassignment of partition [foo,0] completed successfully
+</code></pre><p>You can also verify the increase in replication factor with the kafka-topics tool:</p><pre><code>> bin/kafka-topics.sh --zookeeper localhost:2181 --topic foo --describe
+Topic:foo PartitionCount:1 ReplicationFactor:3 Configs:
+ Topic: foo Partition: 0 Leader: 5 Replicas: 5,6,7 Isr: 5,6,7
+</code></pre><h2 id=setting-quotas>Setting quotas<a class=td-heading-self-link href=#setting-quotas aria-label="Heading self-link"></a></h2><p>It is possible to set default quotas that apply to all client-ids by setting these configs on the brokers. By default, each client-id receives an unlimited quota. The following sets the default quota per producer and consumer client-id to 10MB/sec.</p><pre><code> quota.producer.default=10485760
+ quota.consumer.default=10485760
+</code></pre><p>It is also possible to set custom quotas for each client.</p><pre><code>> bin/kafka-configs.sh --zookeeper localhost:2181 --alter --add-config 'producer_byte_rate=1024,consumer_byte_rate=2048' --entity-name clientA --entity-type clients
+Updated config for clientId: "clientA".
+</code></pre><p>Here’s how to describe the quota for a given client.</p><pre><code>> ./kafka-configs.sh --zookeeper localhost:2181 --describe --entity-name clientA --entity-type clients
+Configs for clients:clientA are producer_byte_rate=1024,consumer_byte_rate=2048
+</code></pre></div><div class=td-content style=page-break-before:always><h1 id=pg-ac0d4e5b293d5608a455389c9c3ec000>6.2 - Datacenters</h1><div class=lead>Datacenters</div><p>Some deployments will need to manage a data pipeline that spans multiple datacenters. Our recommended approach to this is to deploy a local Kafka cluster in each datacenter with application instances in each datacenter interacting only with their local cluster and mirroring between clusters (see the documentation on t [...]
+num.replica.fetchers=4
+replica.fetch.max.bytes=1048576
+replica.fetch.wait.max.ms=500
+replica.high.watermark.checkpoint.interval.ms=5000
+replica.socket.timeout.ms=30000
+replica.socket.receive.buffer.bytes=65536
+replica.lag.time.max.ms=10000
+
+controller.socket.timeout.ms=30000
+controller.message.queue.size=10
+
+# Log configuration
+num.partitions=8
+message.max.bytes=1000000
+auto.create.topics.enable=true
+log.index.interval.bytes=4096
+log.index.size.max.bytes=10485760
+log.retention.hours=168
+log.flush.interval.ms=10000
+log.flush.interval.messages=20000
+log.flush.scheduler.interval.ms=2000
+log.roll.hours=168
+log.retention.check.interval.ms=300000
+log.segment.bytes=1073741824
+
+# ZK configuration
+zookeeper.connection.timeout.ms=6000
+zookeeper.sync.time.ms=2000
+
+# Socket server configuration
+num.io.threads=8
+num.network.threads=8
+socket.request.max.bytes=104857600
+socket.receive.buffer.bytes=1048576
+socket.send.buffer.bytes=1048576
+queued.max.requests=16
+fetch.purgatory.purge.interval.requests=100
+producer.purgatory.purge.interval.requests=100
+</code></pre><p>Our client configuration varies a fair amount between different use cases.</p></div><div class=td-content style=page-break-before:always><h1 id=pg-c35b317b97a5bcc7af936161098df421>6.4 - Java Version</h1><div class=lead>Java Version</div><p>From a security perspective, we recommend you use the latest released version of JDK 1.8 as older freely available versions have disclosed security vulnerabilities. LinkedIn is currently running JDK 1.8 u5 (looking to upgrade to a newer [...]
+-XX:MaxGCPauseMillis=20 -XX:InitiatingHeapOccupancyPercent=35 -XX:G1HeapRegionSize=16M
+-XX:MinMetaspaceFreeRatio=50 -XX:MaxMetaspaceFreeRatio=80
+</code></pre><p>For reference, here are the stats on one of LinkedIn’s busiest clusters (at peak):</p><ul><li>60 brokers</li><li>50k partitions (replication factor 2)</li><li>800k messages/sec in</li><li>300 MB/sec inbound, 1 GB/sec+ outbound</li></ul><p>The tuning looks fairly aggressive, but all of the brokers in that cluster have a 90% GC pause time of about 21ms, and they’re doing less than 1 young GC per second.</p></div><div class=td-content style=page-break-before:alwa [...]
+</code></pre><p>The meaning of these values are described in the link above.</p><p>Using pagecache has several advantages over an in-process cache for storing data that will be written out to disk:</p><ul><li>The I/O scheduler will batch together consecutive small writes into bigger physical writes which improves throughput.</li><li>The I/O scheduler will attempt to re-sequence writes to minimize movement of the disk head which improves throughput.</li><li>It automatically uses all the f [...]
+</code></pre><p>You need to specify two parameters in the above command:
+1. keystore: the keystore file that stores the certificate. The keystore file contains the private key of the certificate; therefore, it needs to be kept safely.
+2. validity: the valid time of the certificate in days.</p><p>Note: By default the property <code>ssl.endpoint.identification.algorithm</code> is not defined, so hostname verification is not performed. In order to enable hostname verification, set the following property:</p><pre><code> ssl.endpoint.identification.algorithm=HTTPS
+</code></pre><p>Once enabled, clients will verify the server’s fully qualified domain name (FQDN) against one of the following two fields:
+1. Common Name (CN)
+2. Subject Alternative Name (SAN)<br>Both fields are valid, RFC-2818 recommends the use of SAN however. SAN is also more flexible, allowing for multiple DNS entries to be declared. Another advantage is that the CN can be set to a more meaningful value for authorization purposes. To add a SAN field append the following argument <code>-ext SAN=DNS:{FQDN}</code> to the keytool command:</p><pre><code> keytool -keystore server.keystore.jks -alias localhost -validity {validity} -genkey [...]
+</code></pre><p>The following command can be run afterwards to verify the contents of the generated certificate:</p><pre><code> keytool -list -v -keystore server.keystore.jks
+</code></pre><ol start=2><li><h4 id=creating-your-own-ca>Creating your own CA<a class=td-heading-self-link href=#creating-your-own-ca aria-label="Heading self-link"></a></h4></li></ol><p>After the first step, each machine in the cluster has a public-private key pair, and a certificate to identify the machine. The certificate, however, is unsigned, which means that an attacker can create such a certificate to pretend to be any machine.</p><p>Therefore, it is important to prevent forged ce [...]
+</code></pre><p>The generated CA is simply a public-private key pair and certificate, and it is intended to sign other certificates.<br>The next step is to add the generated CA to the <strong>clients’ truststore</strong> so that the clients can trust this CA:</p><pre><code> keytool -keystore server.truststore.jks -alias CARoot **-import** -file ca-cert
+</code></pre><p><strong>Note:</strong> If you configure the Kafka brokers to require client authentication by setting ssl.client.auth to be “requested” or “required” on the Kafka brokers config then you must provide a truststore for the Kafka brokers as well and it should have all the CA certificates that clients keys were signed by.</p><pre><code> keytool -keystore client.truststore.jks -alias CARoot -import -file ca-cert
+</code></pre><p>In contrast to the keystore in step 1 that stores each machine’s own identity, the truststore of a client stores all the certificates that the client should trust. Importing a certificate into one’s truststore also means trusting all certificates that are signed by that certificate. As the analogy above, trusting the government (CA) also means trusting all passports (certificates) that it has issued. This attribute is called the chain of trust, and it is parti [...]
+3. #### Signing the certificate</p><p>The next step is to sign all certificates generated by step 1 with the CA generated in step 2. First, you need to export the certificate from the keystore:</p><pre><code> keytool -keystore server.keystore.jks -alias localhost -certreq -file cert-file
+</code></pre><p>Then sign it with the CA:</p><pre><code> openssl x509 -req -CA ca-cert -CAkey ca-key -in cert-file -out cert-signed -days {validity} -CAcreateserial -passin pass:{ca-password}
+</code></pre><p>Finally, you need to import both the certificate of the CA and the signed certificate into the keystore:</p><pre><code> keytool -keystore server.keystore.jks -alias CARoot -import -file ca-cert
+ keytool -keystore server.keystore.jks -alias localhost -import -file cert-signed
+</code></pre><p>The definitions of the parameters are the following:
+1. keystore: the location of the keystore
+2. ca-cert: the certificate of the CA
+3. ca-key: the private key of the CA
+4. ca-password: the passphrase of the CA
+5. cert-file: the exported, unsigned certificate of the server
+6. cert-signed: the signed certificate of the server
+Here is an example of a bash script with all above steps. Note that one of the commands assumes a password of <code>test1234</code>, so either use that password or edit the command before running it.</p><pre><code>#!/bin/bash
+ #Step 1
+ keytool -keystore server.keystore.jks -alias localhost -validity 365 -keyalg RSA -genkey
+ #Step 2
+ openssl req -new -x509 -keyout ca-key -out ca-cert -days 365
+ keytool -keystore server.truststore.jks -alias CARoot -import -file ca-cert
+ keytool -keystore client.truststore.jks -alias CARoot -import -file ca-cert
+ #Step 3
+ keytool -keystore server.keystore.jks -alias localhost -certreq -file cert-file
+ openssl x509 -req -CA ca-cert -CAkey ca-key -in cert-file -out cert-signed -days 365 -CAcreateserial -passin pass:test1234
+ keytool -keystore server.keystore.jks -alias CARoot -import -file ca-cert
+ keytool -keystore server.keystore.jks -alias localhost -import -file cert-signed
+</code></pre><ol start=4><li><h4 id=configuring-kafka-brokers>Configuring Kafka Brokers<a class=td-heading-self-link href=#configuring-kafka-brokers aria-label="Heading self-link"></a></h4></li></ol><p>Kafka Brokers support listening for connections on multiple ports. We need to configure the following property in server.properties, which must have one or more comma-separated values:</p><pre><code> listeners
+</code></pre><p>If SSL is not enabled for inter-broker communication (see below for how to enable it), both PLAINTEXT and SSL ports will be necessary.</p><pre><code> listeners=PLAINTEXT://host.name:port,SSL://host.name:port
+</code></pre><p>Following SSL configs are needed on the broker side</p><pre><code> ssl.keystore.location=/var/private/ssl/kafka.server.keystore.jks
+ ssl.keystore.password=test1234
+ ssl.key.password=test1234
+ ssl.truststore.location=/var/private/ssl/kafka.server.truststore.jks
+ ssl.truststore.password=test1234
+</code></pre><p>Optional settings that are worth considering:
+1. ssl.client.auth=none (“required” => client authentication is required, “requested” => client authentication is requested and client without certs can still connect. The usage of “requested” is discouraged as it provides a false sense of security and misconfigured clients will still connect successfully.)
+2. ssl.cipher.suites (Optional). A cipher suite is a named combination of authentication, encryption, MAC and key exchange algorithm used to negotiate the security settings for a network connection using TLS or SSL network protocol. (Default is an empty list)
+3. ssl.enabled.protocols=TLSv1.2,TLSv1.1,TLSv1 (list out the SSL protocols that you are going to accept from clients. Do note that SSL is deprecated in favor of TLS and using SSL in production is not recommended)
+4. ssl.keystore.type=JKS
+5. ssl.truststore.type=JKS
+If you want to enable SSL for inter-broker communication, add the following to the broker properties file (it defaults to PLAINTEXT)</p><pre><code>security.inter.broker.protocol=SSL
+</code></pre><p>Due to import regulations in some countries, the Oracle implementation limits the strength of cryptographic algorithms available by default. If stronger algorithms are needed (for example, AES with 256-bit keys), the <a href=http://www.oracle.com/technetwork/java/javase/downloads/index.html>JCE Unlimited Strength Jurisdiction Policy Files</a> must be obtained and installed in the JDK/JRE. See the <a href=https://docs.oracle.com/javase/8/docs/technotes/guides/security/SunP [...]
+</code></pre><p>To check quickly if the server keystore and truststore are setup properly you can run the following command</p><pre><code>openssl s_client -debug -connect localhost:9093 -tls1
+</code></pre><p>(Note: TLSv1 should be listed under ssl.enabled.protocols)<br>In the output of this command you should see server’s certificate:</p><pre><code>-----BEGIN CERTIFICATE-----
+ {variable sized random bytes}
+ -----END CERTIFICATE-----
+ subject=/C=US/ST=CA/L=Santa Clara/O=org/OU=org/CN=Sriharsha Chintalapani
+ issuer=/C=US/ST=CA/L=Santa Clara/O=org/OU=org/CN=kafka/emailAddress=test@test.com
+</code></pre><p>If the certificate does not show up or if there are any other error messages then your keystore is not setup properly.
+5. #### Configuring Kafka Clients</p><p>SSL is supported only for the new Kafka Producer and Consumer, the older API is not supported. The configs for SSL will be the same for both producer and consumer.<br>If client authentication is not required in the broker, then the following is a minimal configuration example:</p><pre><code> security.protocol=SSL
+ ssl.truststore.location=/var/private/ssl/kafka.client.truststore.jks
+ ssl.truststore.password=test1234
+</code></pre><p>If client authentication is required, then a keystore must be created like in step 1 and the following must also be configured:</p><pre><code> ssl.keystore.location=/var/private/ssl/kafka.client.keystore.jks
+ ssl.keystore.password=test1234
+ ssl.key.password=test1234
+</code></pre><p>Other configuration settings that may also be needed depending on our requirements and the broker configuration:
+1. ssl.provider (Optional). The name of the security provider used for SSL connections. Default value is the default security provider of the JVM.
+2. ssl.cipher.suites (Optional). A cipher suite is a named combination of authentication, encryption, MAC and key exchange algorithm used to negotiate the security settings for a network connection using TLS or SSL network protocol.
+3. ssl.enabled.protocols=TLSv1.2,TLSv1.1,TLSv1. It should list at least one of the protocols configured on the broker side
+4. ssl.truststore.type=JKS
+5. ssl.keystore.type=JKS</p><p>Examples using console-producer and console-consumer:</p><pre><code>kafka-console-producer.sh --broker-list localhost:9093 --topic test --producer.config client-ssl.properties
+ kafka-console-consumer.sh --bootstrap-server localhost:9093 --topic test --new-consumer --consumer.config client-ssl.properties
+</code></pre></div><div class=td-content style=page-break-before:always><h1 id=pg-5bf81d51a2b145cdb41cf3c10213ae0f>7.3 - Authentication using SASL</h1><div class=lead>Authentication using SASL</div><ol><li><h4 id=sasl-configuration-for-kafka-brokers>SASL configuration for Kafka brokers<a class=td-heading-self-link href=#sasl-configuration-for-kafka-brokers aria-label="Heading self-link"></a></h4><ol><li><p>Select one or more supported mechanisms to enable in the broker. <code>GSSAPI</cod [...]
+</code></pre></li><li><p>Configure a SASL port in server.properties, by adding at least one of SASL_PLAINTEXT or SASL_SSL to the <em>listeners</em> parameter, which contains one or more comma-separated values:</p><pre><code>listeners=SASL_PLAINTEXT://host.name:port
+</code></pre></li></ol></li></ol><p>If SASL_SSL is used, then SSL must also be configured. If you are only configuring a SASL port (or if you want the Kafka brokers to authenticate each other using SASL) then make sure you set the same SASL protocol for inter-broker communication:</p><pre><code> security.inter.broker.protocol=SASL_PLAINTEXT (or SASL_SSL)
+
+ 5. Enable one or more SASL mechanisms in server.properties:
+
+ sasl.enabled.mechanisms=GSSAPI (,PLAIN)
+
+ 6. Configure the SASL mechanism for inter-broker communication in server.properties if using SASL for inter-broker communication:
+
+ sasl.mechanism.inter.broker.protocol=GSSAPI (or PLAIN)
+
+ 7. Follow the steps in GSSAPI (Kerberos) or PLAIN to configure SASL for the enabled mechanisms. To enable multiple mechanisms in the broker, follow the steps here.
+</code></pre><p><em>Important notes:</em>
+1. <code>KafkaServer</code> is the section name in the JAAS file used by each KafkaServer/Broker. This section provides SASL configuration options for the broker including any SASL client connections made by the broker for inter-broker communication.
+2. <code>Client</code> section is used to authenticate a SASL connection with zookeeper. It also allows the brokers to set SASL ACL on zookeeper nodes which locks these nodes down so that only the brokers can modify it. It is necessary to have the same principal name across all brokers. If you want to use a section name other than Client, set the system property <code>zookeeper.sasl.client</code> to the appropriate name (<em>e.g.</em> , <code>-Dzookeeper.sasl.client=ZkClient</code>).
+3. ZooKeeper uses “zookeeper” as the service name by default. If you want to change this, set the system property <code>zookeeper.sasl.client.username</code> to the appropriate name (<em>e.g.</em> , <code>-Dzookeeper.sasl.client.username=zk</code>).
+2. #### SASL configuration for Kafka clients</p><p>SASL authentication is only supported for the new Java Kafka producer and consumer, the older API is not supported. To configure SASL authentication on the clients:
+1. Select a SASL mechanism for authentication.
+2. Add a JAAS config file for the selected mechanism as described in the examples for setting up GSSAPI (Kerberos) or PLAIN. <code>KafkaClient</code> is the section name in the JAAS file used by Kafka clients.
+3. Pass the JAAS config file location as JVM parameter to each client JVM. For example:</p><pre><code> -Djava.security.auth.login.config=/etc/kafka/kafka_client_jaas.conf
+
+ 4. Configure the following properties in producer.properties or consumer.properties:
+
+ security.protocol=SASL_PLAINTEXT (or SASL_SSL)
+ sasl.mechanism=GSSAPI (or PLAIN)
+
+ 5. Follow the steps in GSSAPI (Kerberos) or PLAIN to configure SASL for the selected mechanism.
+</code></pre><ol start=3><li><h4 id=authentication-using-saslkerberos>Authentication using SASL/Kerberos<a class=td-heading-self-link href=#authentication-using-saslkerberos aria-label="Heading self-link"></a></h4><ol><li><h5 id=prerequisites>Prerequisites<a class=td-heading-self-link href=#prerequisites aria-label="Heading self-link"></a></h5><ol><li><p><strong>Kerberos</strong><br>If your organization is already using a Kerberos server (for example, by using Active Directory), there is [...]
+ sudo /usr/sbin/kadmin.local -q "ktadd -k /etc/security/keytabs/{keytabname}.keytab kafka/{hostname}@{REALM}"
+</code></pre></li><li><p><strong>Make sure all hosts can be reachable using hostnames</strong> - it is a Kerberos requirement that all your hosts can be resolved with their FQDNs.</p></li></ol></li><li><h5 id=configuring-kafka-brokers>Configuring Kafka Brokers<a class=td-heading-self-link href=#configuring-kafka-brokers aria-label="Heading self-link"></a></h5><ol><li><p>Add a suitably modified JAAS file similar to the one below to each Kafka broker’s config directory, let’s c [...]
+ com.sun.security.auth.module.Krb5LoginModule required
+ useKeyTab=true
+ storeKey=true
+ keyTab="/etc/security/keytabs/kafka_server.keytab"
+ principal="kafka/kafka1.hostname.com@EXAMPLE.COM";
+ };
+
+ // Zookeeper client authentication
+ Client {
+ com.sun.security.auth.module.Krb5LoginModule required
+ useKeyTab=true
+ storeKey=true
+ keyTab="/etc/security/keytabs/kafka_server.keytab"
+ principal="kafka/kafka1.hostname.com@EXAMPLE.COM";
+ };
+</code></pre></li></ol></li></ol></li></ol><p><code>KafkaServer</code> section in the JAAS file tells the broker which principal to use and the location of the keytab where this principal is stored. It allows the broker to login using the keytab specified in this section. See notes for more details on Zookeeper SASL configuration.
+2. Pass the JAAS and optionally the krb5 file locations as JVM parameters to each Kafka broker (see <a href=https://docs.oracle.com/javase/8/docs/technotes/guides/security/jgss/tutorials/KerberosReq.html>here</a> for more details):</p><pre><code> -Djava.security.krb5.conf=/etc/kafka/krb5.conf
+ -Djava.security.auth.login.config=/etc/kafka/kafka_server_jaas.conf
+
+ 3. Make sure the keytabs configured in the JAAS file are readable by the operating system user who is starting kafka broker.
+ 4. Configure SASL port and SASL mechanisms in server.properties as described here.
+</code></pre><p>For example:</p><pre><code> listeners=SASL_PLAINTEXT://host.name:port
+ security.inter.broker.protocol=SASL_PLAINTEXT
+ sasl.mechanism.inter.broker.protocol=GSSAPI
+ sasl.enabled.mechanisms=GSSAPI
+</code></pre><p>We must also configure the service name in server.properties, which should match the principal name of the kafka brokers. In the above example, principal is “<a href=mailto:kafka/kafka1.hostname.com@EXAMPLE.com>kafka/kafka1.hostname.com@EXAMPLE.com</a>”, so:</p><pre><code>sasl.kerberos.service.name=kafka
+
+ 3. ##### Configuring Kafka Clients
+</code></pre><p>To configure SASL authentication on the clients:
+1. Clients (producers, consumers, connect workers, etc) will authenticate to the cluster with their own principal (usually with the same name as the user running the client), so obtain or create these principals as needed. Then create a JAAS file for each principal. The KafkaClient section describes how the clients like producer and consumer can connect to the Kafka Broker. The following is an example configuration for a client using a keytab (recommended for long-running processes):</p> [...]
+ com.sun.security.auth.module.Krb5LoginModule required
+ useKeyTab=true
+ storeKey=true
+ keyTab="/etc/security/keytabs/kafka_client.keytab"
+ principal="kafka-client-1@EXAMPLE.COM";
+ };
+</code></pre><p>For command-line utilities like kafka-console-consumer or kafka-console-producer, kinit can be used along with “useTicketCache=true” as in:</p><pre><code> KafkaClient {
+ com.sun.security.auth.module.Krb5LoginModule required
+ useTicketCache=true;
+ };
+
+ 2. Pass the JAAS and optionally krb5 file locations as JVM parameters to each client JVM (see [here](https://docs.oracle.com/javase/8/docs/technotes/guides/security/jgss/tutorials/KerberosReq.html) for more details):
+
+ -Djava.security.krb5.conf=/etc/kafka/krb5.conf
+ -Djava.security.auth.login.config=/etc/kafka/kafka_client_jaas.conf
+
+ 3. Make sure the keytabs configured in the kafka_client_jaas.conf are readable by the operating system user who is starting kafka client.
+ 4. Configure the following properties in producer.properties or consumer.properties:
+
+ security.protocol=SASL_PLAINTEXT (or SASL_SSL)
+ sasl.mechanism=GSSAPI
+ sasl.kerberos.service.name=kafka
+</code></pre><ol start=4><li><h4 id=authentication-using-saslplain>Authentication using SASL/PLAIN<a class=td-heading-self-link href=#authentication-using-saslplain aria-label="Heading self-link"></a></h4></li></ol><p>SASL/PLAIN is a simple username/password authentication mechanism that is typically used with TLS for encryption to implement secure authentication. Kafka supports a default implementation for SASL/PLAIN which can be extended for production use as described here.</p><p>The [...]
+1. ##### Configuring Kafka Brokers</p><pre><code> 1. Add a suitably modified JAAS file similar to the one below to each Kafka broker's config directory, let's call it kafka_server_jaas.conf for this example:
+
+ KafkaServer {
+ org.apache.kafka.common.security.plain.PlainLoginModule required
+ username="admin"
+ password="admin-secret"
+ user_admin="admin-secret"
+ user_alice="alice-secret";
+ };
+</code></pre><p>This configuration defines two users (<em>admin</em> and <em>alice</em>). The properties <code>username</code> and <code>password</code> in the <code>KafkaServer</code> section are used by the broker to initiate connections to other brokers. In this example, <em>admin</em> is the user for inter-broker communication. The set of properties <code>user__userName_</code> defines the passwords for all users that connect to the broker and the broker validates all client connecti [...]
+2. Pass the JAAS config file location as JVM parameter to each Kafka broker:</p><pre><code> -Djava.security.auth.login.config=/etc/kafka/kafka_server_jaas.conf
+
+ 3. Configure SASL port and SASL mechanisms in server.properties as described here.
+</code></pre><p>For example:</p><pre><code> listeners=SASL_SSL://host.name:port
+ security.inter.broker.protocol=SASL_SSL
+ sasl.mechanism.inter.broker.protocol=PLAIN
+ sasl.enabled.mechanisms=PLAIN
+
+ 2. ##### Configuring Kafka Clients
+</code></pre><p>To configure SASL authentication on the clients:
+1. The <code>KafkaClient</code> section describes how the clients like producer and consumer can connect to the Kafka Broker. The following is an example configuration for a client for the PLAIN mechanism:</p><pre><code> KafkaClient {
+ org.apache.kafka.common.security.plain.PlainLoginModule required
+ username="alice"
+ password="alice-secret";
+ };
+</code></pre><p>The properties <code>username</code> and <code>password</code> in the <code>KafkaClient</code> section are used by clients to configure the user for client connections. In this example, clients connect to the broker as user <em>alice</em>.
+2. Pass the JAAS config file location as JVM parameter to each client JVM:</p><pre><code> -Djava.security.auth.login.config=/etc/kafka/kafka_client_jaas.conf
+
+ 3. Configure the following properties in producer.properties or consumer.properties:
+
+ security.protocol=SASL_SSL
+ sasl.mechanism=PLAIN
+
+ 3. ##### Use of SASL/PLAIN in production
+
+ * SASL/PLAIN should be used only with SSL as transport layer to ensure that clear passwords are not transmitted on the wire without encryption.
+ * The default implementation of SASL/PLAIN in Kafka specifies usernames and passwords in the JAAS configuration file as shown here. To avoid storing passwords on disk, you can plugin your own implementation of `javax.security.auth.spi.LoginModule` that provides usernames and passwords from an external source. The login module implementation should provide username as the public credential and password as the private credential of the `Subject`. The default implementation `org.apache. [...]
+ * In production systems, external authentication servers may implement password authentication. Kafka brokers can be integrated with these servers by adding your own implementation of `javax.security.sasl.SaslServer`. The default implementation included in Kafka in the package `org.apache.kafka.common.security.plain` can be used as an example to get started.
+ * New providers must be installed and registered in the JVM. Providers can be installed by adding provider classes to the normal `CLASSPATH` or bundled as a jar file and added to `_JAVA_HOME_ /lib/ext`.
+ * Providers can be registered statically by adding a provider to the security properties file `_JAVA_HOME_ /lib/security/java.security`.
+
+ security.provider.n=providerClassName
+</code></pre><p>where <em>providerClassName</em> is the fully qualified name of the new provider and <em>n</em> is the preference order with lower numbers indicating higher preference.
+* Alternatively, you can register providers dynamically at runtime by invoking <code>Security.addProvider</code> at the beginning of the client application or in a static initializer in the login module. For example:</p><pre><code> Security.addProvider(new PlainSaslServerProvider());
+
+ * For more details, see [JCA Reference](http://docs.oracle.com/javase/8/docs/technotes/guides/security/crypto/CryptoSpec.html).
+</code></pre><ol start=5><li><h4 id=enabling-multiple-sasl-mechanisms-in-a-broker>Enabling multiple SASL mechanisms in a broker<a class=td-heading-self-link href=#enabling-multiple-sasl-mechanisms-in-a-broker aria-label="Heading self-link"></a></h4><ol><li><p>Specify configuration for the login modules of all enabled mechanisms in the <code>KafkaServer</code> section of the JAAS config file. For example:</p><pre><code>KafkaServer {
+ com.sun.security.auth.module.Krb5LoginModule required
+ useKeyTab=true
+ storeKey=true
+ keyTab="/etc/security/keytabs/kafka_server.keytab"
+ principal="kafka/kafka1.hostname.com@EXAMPLE.COM";
+
+ org.apache.kafka.common.security.plain.PlainLoginModule required
+ username="admin"
+ password="admin-secret"
+ user_admin="admin-secret"
+ user_alice="alice-secret";
+ };
+</code></pre></li><li><p>Enable the SASL mechanisms in server.properties:</p><pre><code>sasl.enabled.mechanisms=GSSAPI,PLAIN
+</code></pre></li><li><p>Specify the SASL security protocol and mechanism for inter-broker communication in server.properties if required:</p><pre><code>security.inter.broker.protocol=SASL_PLAINTEXT (or SASL_SSL)
+ sasl.mechanism.inter.broker.protocol=GSSAPI (or PLAIN)
+</code></pre></li><li><p>Follow the mechanism-specific steps in GSSAPI (Kerberos) and PLAIN to configure SASL for the enabled mechanisms.</p></li></ol></li><li><h4 id=modifying-sasl-mechanism-in-a-running-cluster>Modifying SASL mechanism in a Running Cluster<a class=td-heading-self-link href=#modifying-sasl-mechanism-in-a-running-cluster aria-label="Heading self-link"></a></h4></li></ol><p>SASL mechanism can be modified in a running cluster using the following sequence:</p><pre><code> 1. [...]
+ 2. Restart clients using the new mechanism.
+ 3. To change the mechanism of inter-broker communication (if this is required), set `sasl.mechanism.inter.broker.protocol` in server.properties to the new mechanism and incrementally bounce the cluster again.
+ 4. To remove old mechanism (if this is required), remove the old mechanism from `sasl.enabled.mechanisms` in server.properties and remove the entries for the old mechanism from JAAS config file. Incrementally bounce the cluster again.
+</code></pre></div><div class=td-content style=page-break-before:always><h1 id=pg-7f098b7a790a6590cbaa57f0bbba8461>7.4 - Authorization and ACLs</h1><div class=lead>Authorization and ACLs</div><p>Kafka ships with a pluggable Authorizer and an out-of-box authorizer implementation that uses zookeeper to store all the acls. Kafka acls are defined in the general format of “Principal P is [Allowed/Denied] Operation O From Host H On Resource R”. You can read more about the acl struc [...]
+</code></pre><p>One can also add super users in broker.properties like the following (note that the delimiter is semicolon since SSL user names may contain comma).</p><pre><code>super.users=User:Bob;User:Alice
+</code></pre><p>By default, the SSL user name will be of the form “CN=writeuser,OU=Unknown,O=Unknown,L=Unknown,ST=Unknown,C=Unknown”. One can change that by setting a customized PrincipalBuilder in broker.properties like the following.</p><pre><code>principal.builder.class=CustomizedPrincipalBuilderClass
+</code></pre><p>By default, the SASL user name will be the primary part of the Kerberos principal. One can change that by setting <code>sasl.kerberos.principal.to.local.rules</code> to a customized rule in broker.properties. The format of <code>sasl.kerberos.principal.to.local.rules</code> is a list where each rule works in the same way as the auth_to_local in <a href=http://web.mit.edu/Kerberos/krb5-latest/doc/admin/conf_files/krb5_conf.html>Kerberos configuration file (krb5.conf)</a>. [...]
+</code></pre><h2 id=command-line-interface>Command Line Interface<a class=td-heading-self-link href=#command-line-interface aria-label="Heading self-link"></a></h2><p>Kafka Authorization management CLI can be found under bin directory with all the other CLIs. The CLI script is called <strong>kafka-acls.sh</strong>. Following lists all the options that the script supports:</p><table><thead><tr><th>Option</th><th>Description</th><th>Default</th><th>Option type</th></tr></thead><tbody><tr>< [...]
+</code></pre></li></ul><p>By default all principals that don’t have an explicit acl that allows access for an operation to a resource are denied. In rare cases where an allow acl is defined that allows access to all but some principal we will have to use the –deny-principal and –deny-host option. For example, if we want to allow all users to Read from Test-topic but only deny User:BadBob from IP 198.51.100.3 we can do so using following commands:</p><pre><code> bin/k [...]
+</code></pre><p>Note that <code>--allow-host</code> and <code>deny-host</code> only support IP addresses (hostnames are not supported). Above examples add acls to a topic by specifying –topic [topic-name] as the resource option. Similarly user can add acls to cluster by specifying –cluster and to a consumer group by specifying –group [group-name].</p><ul><li><p><strong>Removing Acls</strong><br>Removing acls is pretty much the same. The only difference is instead of &nd [...]
+</code></pre></li><li><p><strong>List Acls</strong><br>We can list acls for any resource by specifying the –list option with the resource. To list all acls for Test-topic we can execute the CLI with following options:</p><pre><code>bin/kafka-acls.sh --authorizer-properties zookeeper.connect=localhost:2181 --list --topic Test-topic
+</code></pre></li><li><p><strong>Adding or removing a principal as producer or consumer</strong><br>The most common use case for acl management are adding/removing a principal as producer or consumer so we added convenience options to handle these cases. In order to add User:Bob as a producer of Test-topic we can execute the following command:</p><pre><code>bin/kafka-acls.sh --authorizer-properties zookeeper.connect=localhost:2181 --add --allow-principal User:Bob --producer --topic Test-topic
+</code></pre></li></ul><p>Similarly to add Alice as a consumer of Test-topic with consumer group Group-1 we just have to pass –consumer option:</p><pre><code> bin/kafka-acls.sh --authorizer-properties zookeeper.connect=localhost:2181 --add --allow-principal User:Bob --consumer --topic test-topic --group Group-1
+</code></pre><p>Note that for consumer option we must also specify the consumer group. In order to remove a principal from producer or consumer role we just need to pass –remove option.</p></div><div class=td-content style=page-break-before:always><h1 id=pg-707ae60c9435301b4a284773bc72d92a>7.5 - Incorporating Security Features in a Running Cluster</h1><div class=lead>Incorporating Security Features in a Running Cluster</div><p>You can secure a running cluster via one or more of the [...]
+</code></pre><p>We then restart the clients, changing their config to point at the newly opened, secured port:</p><pre><code> bootstrap.servers = [broker1:9092,...]
+ security.protocol = SSL
+ ...etc
+</code></pre><p>In the second incremental server bounce we instruct Kafka to use SSL as the broker-broker protocol (which will use the same SSL port):</p><pre><code> listeners=PLAINTEXT://broker1:9091,SSL://broker1:9092
+ security.inter.broker.protocol=SSL
+</code></pre><p>In the final bounce we secure the cluster by closing the PLAINTEXT port:</p><pre><code> listeners=SSL://broker1:9092
+ security.inter.broker.protocol=SSL
+</code></pre><p>Alternatively we might choose to open multiple ports so that different protocols can be used for broker-broker and broker-client communication. Say we wished to use SSL encryption throughout (i.e. for broker-broker and broker-client communication) but we’d like to add SASL authentication to the broker-client connection also. We would achieve this by opening two additional ports during the first bounce:</p><pre><code> listeners=PLAINTEXT://broker1:9091,SSL://b [...]
+</code></pre><p>We would then restart the clients, changing their config to point at the newly opened, SASL & SSL secured port:</p><pre><code> bootstrap.servers = [broker1:9093,...]
+ security.protocol = SASL_SSL
+ ...etc
+</code></pre><p>The second server bounce would switch the cluster to use encrypted broker-broker communication via the SSL port we previously opened on port 9092:</p><pre><code> listeners=PLAINTEXT://broker1:9091,SSL://broker1:9092,SASL_SSL://broker1:9093
+ security.inter.broker.protocol=SSL
+</code></pre><p>The final bounce secures the cluster by closing the PLAINTEXT port.</p><pre><code> listeners=SSL://broker1:9092,SASL_SSL://broker1:9093
+ security.inter.broker.protocol=SSL
+</code></pre><p>ZooKeeper can be secured independently of the Kafka cluster. The steps for doing this are covered in section 7.6.2.</p></div><div class=td-content style=page-break-before:always><h1 id=pg-4afb84f5e6f860a5d75cbd9a61d12161>7.6 - ZooKeeper Authentication</h1><div class=lead>ZooKeeper Authentication</div><h2 id=new-clusters>New clusters<a class=td-heading-self-link href=#new-clusters aria-label="Heading self-link"></a></h2><p>To enable ZooKeeper authentication on brokers, the [...]
+</code></pre><p>Run this to see the full list of parameters:</p><pre><code>./bin/zookeeper-security-migration --help
+</code></pre><h2 id=migrating-the-zookeeper-ensemble>Migrating the ZooKeeper ensemble<a class=td-heading-self-link href=#migrating-the-zookeeper-ensemble aria-label="Heading self-link"></a></h2><p>It is also necessary to enable authentication on the ZooKeeper ensemble. To do it, we need to perform a rolling restart of the server and set a few properties. Please refer to the ZooKeeper documentation for more detail:</p><ol><li><a href=http://zookeeper.apache.org/doc/r3.4.6/zookeeperProgram [...]
+</code></pre><p>The first parameter is the configuration for the worker. This includes settings such as the Kafka connection parameters, serialization format, and how frequently to commit offsets. The provided example should work well with a local cluster running with the default configuration provided by <code>config/server.properties</code>. It will require tweaking to use with a different configuration or production deployment. The remaining parameters are connector configuration file [...]
+</code></pre><p>The difference is in the class which is started and the configuration parameters which change how the Kafka Connect process decides where to store configurations, how to assign work, and where to store offsets and task statues. In the distributed mode, Kafka Connect stores the offsets, configs and task statuses in Kafka topics. It is recommended to manually create the topics for offset, configs and statuses in order to achieve the desired the number of partitions and repl [...]
+ private String filename;
+ private String topic;
+</code></pre><p>The easiest method to fill in is <code>getTaskClass()</code>, which defines the class that should be instantiated in worker processes to actually read the data:</p><pre><code>@Override
+public Class<? extends Task> getTaskClass() {
+ return FileStreamSourceTask.class;
+}
+</code></pre><p>We will define the <code>FileStreamSourceTask</code> class below. Next, we add some standard lifecycle methods, <code>start()</code> and <code>stop()</code>:</p><pre><code>@Override
+public void start(Map<String, String> props) {
+ // The complete version includes error handling as well.
+ filename = props.get(FILE_CONFIG);
+ topic = props.get(TOPIC_CONFIG);
+}
+
+@Override
+public void stop() {
+ // Nothing to do since no background monitoring is required.
+}
+</code></pre><p>Finally, the real core of the implementation is in <code>getTaskConfigs()</code>. In this case we are only handling a single file, so even though we may be permitted to generate more tasks as per the <code>maxTasks</code> argument, we return a list with only one entry:</p><pre><code>@Override
+public List<Map<String, String>> getTaskConfigs(int maxTasks) {
+ ArrayList>Map<String, String>> configs = new ArrayList<>();
+ // Only one input stream makes sense.
+ Map<String, String> config = new Map<>();
+ if (filename != null)
+ config.put(FILE_CONFIG, filename);
+ config.put(TOPIC_CONFIG, topic);
+ configs.add(config);
+ return configs;
+}
+</code></pre><p>Although not used in the example, <code>SourceTask</code> also provides two APIs to commit offsets in the source system: <code>commit</code> and <code>commitRecord</code>. The APIs are provided for source systems which have an acknowledgement mechanism for messages. Overriding these methods allows the source connector to acknowledge messages in the source system, either in bulk or individually, once they have been written to Kafka. The <code>commit</code> API stores the o [...]
+ String filename;
+ InputStream stream;
+ String topic;
+
+ public void start(Map<String, String> props) {
+ filename = props.get(FileStreamSourceConnector.FILE_CONFIG);
+ stream = openOrThrowError(filename);
+ topic = props.get(FileStreamSourceConnector.TOPIC_CONFIG);
+ }
+
+ @Override
+ public synchronized void stop() {
+ stream.close();
+ }
+</code></pre><p>These are slightly simplified versions, but show that that these methods should be relatively simple and the only work they should perform is allocating or freeing resources. There are two points to note about this implementation. First, the <code>start()</code> method does not yet handle resuming from a previous offset, which will be addressed in a later section. Second, the <code>stop()</code> method is synchronized. This will be necessary because <code>SourceTasks</cod [...]
+public List<SourceRecord> poll() throws InterruptedException {
+ try {
+ ArrayList<SourceRecord> records = new ArrayList<>();
+ while (streamValid(stream) && records.isEmpty()) {
+ LineAndOffset line = readToNextLine(stream);
+ if (line != null) {
+ Map<String, Object> sourcePartition = Collections.singletonMap("filename", filename);
+ Map<String, Object> sourceOffset = Collections.singletonMap("position", streamOffset);
+ records.add(new SourceRecord(sourcePartition, sourceOffset, topic, Schema.STRING_SCHEMA, line));
+ } else {
+ Thread.sleep(1);
+ }
+ }
+ return records;
+ } catch (IOException e) {
+ // Underlying stream was killed, probably as a result of calling stop. Allow to return
+ // null, and driving thread will handle any shutdown if necessary.
+ }
+ return null;
+}
+</code></pre><p>Again, we’ve omitted some details, but we can see the important steps: the <code>poll()</code> method is going to be called repeatedly, and for each call it will loop trying to read records from the file. For each line it reads, it also tracks the file offset. It uses this information to create an output <code>SourceRecord</code> with four pieces of information: the source partition (there is only one, the single file being read), source offset (byte offset in the f [...]
+ public void initialize(SinkTaskContext context) {
+ this.context = context;
+ }
+
+ public abstract void put(Collection<SinkRecord> records);
+
+ public abstract void flush(Map<TopicPartition, Long> offsets);
+</code></pre><p>The <code>SinkTask</code> documentation contains full details, but this interface is nearly as simple as the <code>SourceTask</code>. The <code>put()</code> method should contain most of the implementation, accepting sets of <code>SinkRecords</code>, performing any required translation, and storing them in the destination system. This method does not need to ensure the data has been fully written to the destination system before returning. In fact, in many cases internal [...]
+ Map<String, Object> offset = context.offsetStorageReader().offset(Collections.singletonMap(FILENAME_FIELD, filename));
+ if (offset != null) {
+ Long lastRecordedOffset = (Long) offset.get("position");
+ if (lastRecordedOffset != null)
+ seekToOffset(stream, lastRecordedOffset);
+ }
+</code></pre><p>Of course, you might need to read many keys for each of the input streams. The <code>OffsetStorageReader</code> interface also allows you to issue bulk reads to efficiently load all offsets, then apply them by seeking each input stream to the appropriate position.</p><h2 id=dynamic-inputoutput-streams>Dynamic Input/Output Streams<a class=td-heading-self-link href=#dynamic-inputoutput-streams aria-label="Heading self-link"></a></h2><p>Kafka Connect is intended to define bu [...]
+ this.context.requestTaskReconfiguration();
+</code></pre><p>The framework will promptly request new configuration information and update the tasks, allowing them to gracefully commit their progress before reconfiguring them. Note that in the <code>SourceConnector</code> this monitoring is currently left up to the connector implementation. If an extra thread is required to perform this monitoring, the connector must allocate it itself. Ideally this code for monitoring changes would be isolated to the <code>Connector</code> and task [...]
+ .define(FILE_CONFIG, Type.STRING, Importance.HIGH, "Source filename.")
+ .define(TOPIC_CONFIG, Type.STRING, Importance.HIGH, "The topic to publish data to");
+
+ public ConfigDef config() {
+ return CONFIG_DEF;
+ }
+</code></pre><p><code>ConfigDef</code> class is used for specifying the set of expected configurations. For each configuration, you can specify the name, the type, the default value, the documentation, the group information, the order in the group, the width of the configuration value and the name suitable for display in the UI. Plus, you can provide special validation logic used for single configuration validation by overriding the <code>Validator</code> class. Moreover, as there may be [...]
+ .field("name", Schema.STRING_SCHEMA)
+ .field("age", Schema.INT_SCHEMA)
+ .field("admin", new SchemaBuilder.boolean().defaultValue(false).build())
+ .build();
+
+Struct struct = new Struct(schema)
+ .put("name", "Barbara Liskov")
+ .put("age", 75)
+ .build();
+</code></pre><p>If you are implementing a source connector, you’ll need to decide when and how to create schemas. Where possible, you should avoid recomputing them as much as possible. For example, if your connector is guaranteed to have a fixed schema, create it statically and reuse a single instance. However, many connectors will have dynamic schemas. One simple example of this is a database connector. Considering even just a single table, the schema will not be predefined for th [...]
+ "name": "file-source",
+ "connector": {
+ "state": "RUNNING",
+ "worker_id": "192.168.1.208:8083"
+ },
+ "tasks": [
+ {
+ "id": 0,
+ "state": "RUNNING",
+ "worker_id": "192.168.1.209:8083"
+ }
+ ]
+}
+</code></pre><p>Connectors and their tasks publish status updates to a shared topic (configured with <code>status.storage.topic</code>) which all workers in the cluster monitor. Because the workers consume this topic asynchronously, there is typically a (short) delay before a state change is visible through the status API. The following states are possible for a connector or one of its tasks:</p><ul><li><strong>UNASSIGNED:</strong> The connector/task has not yet been assigned to a worker [...]
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+under the terms of the <a href=https://www.apache.org/licenses/LICENSE-2.0 target=_blank rel=noopener>Apache License v2</a>.
+Apache Kafka, Kafka, and the Kafka logo are either registered trademarks or trademarks of The Apache Software Foundation
+in the United States and other countries.</div><div class="td-footer__links mt-2"><a href=https://www.apache.org/security/ target=_blank rel=noopener>Security</a> |
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\ No newline at end of file
diff --git a/0100/api.html b/0100/api.html
deleted file mode 100644
index 06ecea2a6..000000000
--- a/0100/api.html
+++ /dev/null
@@ -1,94 +0,0 @@
-<!--
- Licensed to the Apache Software Foundation (ASF) under one or more
- contributor license agreements. See the NOTICE file distributed with
- this work for additional information regarding copyright ownership.
- The ASF licenses this file to You under the Apache License, Version 2.0
- (the "License"); you may not use this file except in compliance with
- the License. You may obtain a copy of the License at
-
- http://www.apache.org/licenses/LICENSE-2.0
-
- Unless required by applicable law or agreed to in writing, software
- distributed under the License is distributed on an "AS IS" BASIS,
- WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
- See the License for the specific language governing permissions and
- limitations under the License.
--->
-
-Kafka includes four core apis:
-<ol>
- <li>The <a href="#producerapi">Producer</a> API allows applications to send streams of data to topics in the Kafka cluster.
- <li>The <a href="#consumerapi">Consumer</a> API allows applications to read streams of data from topics in the Kafka cluster.
- <li>The <a href="#streamsapi">Streams</a> API allows transforming streams of data from input topics to output topics.
- <li>The <a href="#producerapi">Connect</a> API allows implementing connectors that continually pull from some source system or application into Kafka or push from Kafka into some sink system or application.
-</ol>
-
-Kafka exposes all its functionality over a language independent protocol which has clients available in many programming languages. However only the Java clients are maintained as part of the main Kafka project, the others are available as independent open source projects. A list of non-Java clients is available <a href="https://cwiki.apache.org/confluence/display/KAFKA/Clients">here</a>.
-
-<h3><a id="producerapi" href="#producerapi">2.1 Producer API</a></h3>
-
-The Producer API allows applications to send streams of data to topics in the Kafka cluster.
-<p>
-Examples showing how to use the producer are given in the
-<a href="/0100/javadoc/index.html?org/apache/kafka/clients/producer/KafkaProducer.html" title="Kafka 0.10.0 Javadoc">javadocs</a>.
-<p>
-To use the producer, you can use the following maven dependency:
-
-<pre>
- <dependency>
- <groupId>org.apache.kafka</groupId>
- <artifactId>kafka-clients</artifactId>
- <version>0.10.0.0</version>
- </dependency>
-</pre>
-
-<h3><a id="consumerapi" href="#consumerapi">2.2 Consumer API</a></h3>
-
-The Consumer API allows applications to read streams of data from topics in the Kafka cluster.
-<p>
-Examples showing how to use the consumer are given in the
-<a href="/0100/javadoc/index.html?org/apache/kafka/clients/consumer/KafkaConsumer.html" title="Kafka 0.10.0 Javadoc">javadocs</a>.
-<p>
-To use the consumer, you can use the following maven dependency:
-<pre>
- <dependency>
- <groupId>org.apache.kafka</groupId>
- <artifactId>kafka-clients</artifactId>
- <version>0.10.0.0</version>
- </dependency>
-</pre>
-
-<h3><a id="streamsapi" href="#streamsapi">Streams API</a></h3>
-
-The <a href="#streamsapi">Streams</a> API allows transforming streams of data from input topics to output topics.
-<p>
-Examples showing how to use this library are given in the
-<a href="/0100/javadoc/index.html?org/apache/kafka/streams/KafkaStreams.html" title="Kafka 0.10.0 Javadoc">javadocs</a>
-<p>
-Additional documentation on using the Streams API is available <a href="/documentation.html#streams">here</a>.
-<p>
-To use Kafka Streams you can use the following maven dependency:
-
-<pre>
- <dependency>
- <groupId>org.apache.kafka</groupId>
- <artifactId>kafka-streams</artifactId>
- <version>0.10.0.0</version>
- </dependency>
-</pre>
-
-<h3><a id="connectapi" href="#connectapi">Connect API</a></h3>
-
-The Connect API allows implementing connectors that continually pull from some source data system into Kafka or push from Kafka into some sink data system.
-<p>
-Many users of Connect won't need to use this API directly, though, they can use pre-built connectors without needing to write any code. Additional information on using Connect is available <a href="/documentation.html#connect">here</a>.
-<p>
-Those who want to implement custom connectors can see the <a href="/0100/javadoc/index.html?org/apache/kafka/connect" title="Kafka 0.10.0 Javadoc">javadoc</a>.
-<p>
-
-<h3><a id="legacyapis" href="#streamsapi">Legacy APIs</a></h3>
-
-<p>
-A more limited legacy producer and consumer api is also included in Kafka. These old Scala APIs are deprecated and only still available for compatability purposes. Information on them can be found here <a href="http://kafka.apache.org/081/documentation.html#producerapi">
-here</a>.
-</p>
diff --git a/0100/apis/_print/index.html b/0100/apis/_print/index.html
new file mode 100644
index 000000000..07e520e2c
--- /dev/null
+++ b/0100/apis/_print/index.html
@@ -0,0 +1,36 @@
+<!doctype html><html itemscope itemtype=http://schema.org/WebPage lang=en class=no-js><head><meta charset=utf-8><meta name=viewport content="width=device-width,initial-scale=1,shrink-to-fit=no"><link rel=canonical type=text/html href=https://kafka.staged.apache.org/0100/apis/><link rel=alternate type=application/rss+xml href=https://kafka.staged.apache.org/0100/apis/index.xml><meta name=robots content="noindex, nofollow"><link rel=icon type=image/png sizes=32x32 href=/images/apache.png>< [...]
+<meta name=description content="Kafka includes four core apis:
+The Producer API allows applications to send streams of data to topics in the Kafka cluster. The Consumer API allows applications to read streams of data from topics in the Kafka cluster. The Streams API allows transforming streams of data from input topics to output topics. The Connect API allows implementing connectors that continually pull from some source system or application into Kafka or push from Kafka into some sink system or application."><meta property="og:title" content="API" [...]
+<span></span>
+<span></span></div></button>
+<a class="navbar-brand order-1 order-lg-0 mx-auto mx-lg-0" href=/><img src=/logos/kafka_logo--simple.png alt="Apache Kafka" class=navbar-logo-img></a><div class="order-2 d-lg-none" style=width:48px></div><div class="collapse navbar-collapse order-3 order-lg-1" id=main_navbar><ul class="navbar-nav ms-auto"><li class="nav-item dropdown"><a class="nav-link dropdown-toggle" href=/41/getting-started/ aria-haspopup=true aria-expanded=false>Get Started</a><ul class=dropdown-menu><li><a class=dr [...]
+<i class="fas fa-search"></i></button><div class=search-input-wrapper id=searchInputWrapper><div class="td-search td-search--offline"><div class=td-search__icon></div><input type=search class="td-search__input form-control" placeholder="Search this site…" aria-label="Search this site…" autocomplete=off data-offline-search-index-json-src=/offline-search-index.c029fff502ba0ddfbda6398cf06cdb6f.json data-offline-search-base-href=/ data-offline-search-max-results=10></div></div></div></div></ [...]
+<a href=# onclick="return print(),!1">Click here to print</a>.</p><p><a href=/0100/apis/>Return to the regular view of this page</a>.</p></div><h1 class=title>API</h1><ul></ul><div class=content><p>Kafka includes four core apis:</p><ol><li>The Producer API allows applications to send streams of data to topics in the Kafka cluster.</li><li>The Consumer API allows applications to read streams of data from topics in the Kafka cluster.</li><li>The Streams API allows transforming streams of d [...]
+Kafka exposes all its functionality over a language independent protocol which has clients available in many programming languages. However only the Java clients are maintained as part of the main Kafka project, the others are available as independent open source projects. A list of non-Java clients is available <a href=https://cwiki.apache.org/confluence/display/KAFKA/Clients>here</a>.</li></ol><h1 id=producer-api>Producer API<a class=td-heading-self-link href=#producer-api aria-label=" [...]
+ <groupId>org.apache.kafka</groupId>
+ <artifactId>kafka-clients</artifactId>
+ <version>0.10.0.0</version>
+ </dependency>
+</code></pre><h1 id=consumer-api>Consumer API<a class=td-heading-self-link href=#consumer-api aria-label="Heading self-link"></a></h1><p>The Consumer API allows applications to read streams of data from topics in the Kafka cluster.</p><p>Examples showing how to use the consumer are given in the <a href=/0100/javadoc/index.html?org/apache/kafka/clients/consumer/KafkaConsumer.html title="Kafka 0.10.0 Javadoc">javadocs</a>.</p><p>To use the consumer, you can use the following maven dependen [...]
+ <groupId>org.apache.kafka</groupId>
+ <artifactId>kafka-clients</artifactId>
+ <version>0.10.0.0</version>
+ </dependency>
+</code></pre><h1 id=streams-api>Streams API<a class=td-heading-self-link href=#streams-api aria-label="Heading self-link"></a></h1><p>The Streams API allows transforming streams of data from input topics to output topics.</p><p>Examples showing how to use this library are given in the <a href=/0100/javadoc/index.html?org/apache/kafka/streams/KafkaStreams.html title="Kafka 0.10.0 Javadoc">javadocs</a></p><p>Additional documentation on using the Streams API is available <a href=/documentat [...]
+ <groupId>org.apache.kafka</groupId>
+ <artifactId>kafka-streams</artifactId>
+ <version>0.10.0.0</version>
+ </dependency>
+</code></pre><h1 id=connect-api>Connect API<a class=td-heading-self-link href=#connect-api aria-label="Heading self-link"></a></h1><p>The Connect API allows implementing connectors that continually pull from some source data system into Kafka or push from Kafka into some sink data system.</p><p>Many users of Connect won’t need to use this API directly, though, they can use pre-built connectors without needing to write any code. Additional information on using Connect is available < [...]
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+<!doctype html><html itemscope itemtype=http://schema.org/WebPage lang=en class=no-js><head><meta charset=utf-8><meta name=viewport content="width=device-width,initial-scale=1,shrink-to-fit=no"><link rel=alternate type=text/html href=https://kafka.staged.apache.org/0100/apis/_print/><link rel=alternate type=application/rss+xml href=https://kafka.staged.apache.org/0100/apis/index.xml><meta name=robots content="index, follow"><link rel=icon type=image/png sizes=32x32 href=/images/apache.pn [...]
+<meta name=description content="Kafka includes four core apis:
+The Producer API allows applications to send streams of data to topics in the Kafka cluster. The Consumer API allows applications to read streams of data from topics in the Kafka cluster. The Streams API allows transforming streams of data from input topics to output topics. The Connect API allows implementing connectors that continually pull from some source system or application into Kafka or push from Kafka into some sink system or application."><meta property="og:title" content="API" [...]
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+<label for=m-0100operations-check><a href=/0100/operations/ class="align-left ps-0 td-sidebar-link td-sidebar-link__section" id=m-0100operations><span>Operations</span></a></label><ul class="ul-2 foldable"><li class="td-sidebar-nav__section-title td-sidebar-nav__section without-child" id=m-0100operationsbasic-kafka-operations-li><input type=checkbox id=m-0100operationsbasic-kafka-operations-check>
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+<label for=m-0100security-check><a href=/0100/security/ class="align-left ps-0 td-sidebar-link td-sidebar-link__section" id=m-0100security><span>Security</span></a></label><ul class="ul-2 foldable"><li class="td-sidebar-nav__section-title td-sidebar-nav__section without-child" id=m-0100securitysecurity-overview-li><input type=checkbox id=m-0100securitysecurity-overview-check>
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+<label for=m-0100securityincorporating-security-features-in-a-running-cluster-check><a href=/0100/security/incorporating-security-features-in-a-running-cluster/ class="align-left ps-0 td-sidebar-link td-sidebar-link__page" id=m-0100securityincorporating-security-features-in-a-running-cluster><span>Incorporating Security Features in a Running Cluster</span></a></label></li><li class="td-sidebar-nav__section-title td-sidebar-nav__section without-child" id=m-0100securityzookeeper-authentica [...]
+<label for=m-0100securityzookeeper-authentication-check><a href=/0100/security/zookeeper-authentication/ class="align-left ps-0 td-sidebar-link td-sidebar-link__page" id=m-0100securityzookeeper-authentication><span>ZooKeeper Authentication</span></a></label></li></ul></li><li class="td-sidebar-nav__section-title td-sidebar-nav__section with-child" id=m-0100kafka-connect-li><input type=checkbox id=m-0100kafka-connect-check>
+<label for=m-0100kafka-connect-check><a href=/0100/kafka-connect/ class="align-left ps-0 td-sidebar-link td-sidebar-link__section" id=m-0100kafka-connect><span>Kafka Connect</span></a></label><ul class="ul-2 foldable"><li class="td-sidebar-nav__section-title td-sidebar-nav__section without-child" id=m-0100kafka-connectoverview-li><input type=checkbox id=m-0100kafka-connectoverview-check>
+<label for=m-0100kafka-connectoverview-check><a href=/0100/kafka-connect/overview/ class="align-left ps-0 td-sidebar-link td-sidebar-link__page" id=m-0100kafka-connectoverview><span>Overview</span></a></label></li><li class="td-sidebar-nav__section-title td-sidebar-nav__section without-child" id=m-0100kafka-connectuser-guide-li><input type=checkbox id=m-0100kafka-connectuser-guide-check>
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+<label for=m-0100kafka-connectconnector-development-guide-check><a href=/0100/kafka-connect/connector-development-guide/ class="align-left ps-0 td-sidebar-link td-sidebar-link__page" id=m-0100kafka-connectconnector-development-guide><span>Connector Development Guide</span></a></label></li></ul></li><li class="td-sidebar-nav__section-title td-sidebar-nav__section with-child" id=m-0100streams-li><input type=checkbox id=m-0100streams-check>
+<label for=m-0100streams-check><a href=/0100/streams/ class="align-left ps-0 td-sidebar-link td-sidebar-link__section" id=m-0100streams><span>Kafka Streams</span></a></label><ul class="ul-2 foldable"><li class="td-sidebar-nav__section-title td-sidebar-nav__section without-child" id=m-0100streamsdeveloper-guide-li><input type=checkbox id=m-0100streamsdeveloper-guide-check>
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+<a href="https://github.com/apache/kafka-site//new/markdown/content/en/0100/apis?filename=change-me.md&value=---%0Atitle%3A+%22Long+Page+Title%22%0AlinkTitle%3A+%22Short+Nav+Title%22%0Aweight%3A+100%0Adescription%3A+%3E-%0A+++++Page+description+for+heading+and+indexes.%0A---%0A%0A%23%23+Heading%0A%0AEdit+this+template+to+create+your+new+page.%0A%0A%2A+Give+it+a+good+name%2C+ending+in+%60.md%60+-+e.g.+%60getting-started.md%60%0A%2A+Edit+the+%22front+matter%22+section+at+the+top+of+the [...]
+<a href="https://github.com/apache/kafka-site//issues/new?title=API" class="td-page-meta--issue td-page-meta__issue" target=_blank rel=noopener><i class="fa-solid fa-list-check fa-fw"></i> Create documentation issue</a>
+<a id=print href=/0100/apis/_print/><i class="fa-solid fa-print fa-fw"></i> Print entire section</a></div></div><div class=td-sticky-content><div class=td-toc-content><div class=td-toc><nav id=TableOfContents><ul><li><a href=#producer-api>Producer API</a></li><li><a href=#consumer-api>Consumer API</a></li><li><a href=#streams-api>Streams API</a></li><li><a href=#connect-api>Connect API</a></li><li><a href=#legacy-apis>Legacy APIs</a></li></ul></nav></div></div><div class="taxonomy taxono [...]
+For up-to-date documentation, see the
+<a href=/41/ target=_blank>latest version</a>.</p></div><nav aria-label=breadcrumb class=td-breadcrumbs><ol class=breadcrumb><li class=breadcrumb-item><a href=/0100/>AK 0.10.0.X</a></li><li class="breadcrumb-item active" aria-current=page>API</li></ol></nav><div class=td-content><h1>API</h1><header class=article-meta><div class="taxonomy taxonomy-terms-article taxo-tags"><h5 class=taxonomy-title>Tags:</h5><ul class=taxonomy-terms><li><a class=taxonomy-term href=https://kafka.staged.apach [...]
+Kafka exposes all its functionality over a language independent protocol which has clients available in many programming languages. However only the Java clients are maintained as part of the main Kafka project, the others are available as independent open source projects. A list of non-Java clients is available <a href=https://cwiki.apache.org/confluence/display/KAFKA/Clients>here</a>.</li></ol><h1 id=producer-api>Producer API<a class=td-heading-self-link href=#producer-api aria-label=" [...]
+ <groupId>org.apache.kafka</groupId>
+ <artifactId>kafka-clients</artifactId>
+ <version>0.10.0.0</version>
+ </dependency>
+</code></pre><h1 id=consumer-api>Consumer API<a class=td-heading-self-link href=#consumer-api aria-label="Heading self-link"></a></h1><p>The Consumer API allows applications to read streams of data from topics in the Kafka cluster.</p><p>Examples showing how to use the consumer are given in the <a href=/0100/javadoc/index.html?org/apache/kafka/clients/consumer/KafkaConsumer.html title="Kafka 0.10.0 Javadoc">javadocs</a>.</p><p>To use the consumer, you can use the following maven dependen [...]
+ <groupId>org.apache.kafka</groupId>
+ <artifactId>kafka-clients</artifactId>
+ <version>0.10.0.0</version>
+ </dependency>
+</code></pre><h1 id=streams-api>Streams API<a class=td-heading-self-link href=#streams-api aria-label="Heading self-link"></a></h1><p>The Streams API allows transforming streams of data from input topics to output topics.</p><p>Examples showing how to use this library are given in the <a href=/0100/javadoc/index.html?org/apache/kafka/streams/KafkaStreams.html title="Kafka 0.10.0 Javadoc">javadocs</a></p><p>Additional documentation on using the Streams API is available <a href=/documentat [...]
+ <groupId>org.apache.kafka</groupId>
+ <artifactId>kafka-streams</artifactId>
+ <version>0.10.0.0</version>
+ </dependency>
+</code></pre><h1 id=connect-api>Connect API<a class=td-heading-self-link href=#connect-api aria-label="Heading self-link"></a></h1><p>The Connect API allows implementing connectors that continually pull from some source data system into Kafka or push from Kafka into some sink data system.</p><p>Many users of Connect won’t need to use this API directly, though, they can use pre-built connectors without needing to write any code. Additional information on using Connect is available < [...]
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+</a><a href=mailto:dev@kafka.apache.org target=_blank rel=noopener aria-label="Developer mailing list" class=td-footer__social-link><i class="fa fa-envelope"></i></a></div></div><div class="col-12 col-md-6 text-center"><div class=td-footer__copyright>The contents of this website are © 2025 Apache Software Foundation
+under the terms of the <a href=https://www.apache.org/licenses/LICENSE-2.0 target=_blank rel=noopener>Apache License v2</a>.
+Apache Kafka, Kafka, and the Kafka logo are either registered trademarks or trademarks of The Apache Software Foundation
+in the United States and other countries.</div><div class="td-footer__links mt-2"><a href=https://www.apache.org/security/ target=_blank rel=noopener>Security</a> |
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diff --git a/0100/apis/index.xml b/0100/apis/index.xml
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+++ b/0100/apis/index.xml
@@ -0,0 +1 @@
+<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>API on Apache Kafka</title><link>https://kafka.staged.apache.org/0100/apis/</link><description>Recent content in API on Apache Kafka</description><generator>Hugo -- gohugo.io</generator><language>en</language><atom:link href="https://kafka.staged.apache.org/0100/apis/index.xml" rel="self" type="application/rss+xml"/></channel></rss>
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diff --git a/0100/configuration.html b/0100/configuration.html
deleted file mode 100644
index f9bd1e456..000000000
--- a/0100/configuration.html
+++ /dev/null
@@ -1,341 +0,0 @@
-<!--
- Licensed to the Apache Software Foundation (ASF) under one or more
- contributor license agreements. See the NOTICE file distributed with
- this work for additional information regarding copyright ownership.
- The ASF licenses this file to You under the Apache License, Version 2.0
- (the "License"); you may not use this file except in compliance with
- the License. You may obtain a copy of the License at
-
- http://www.apache.org/licenses/LICENSE-2.0
-
- Unless required by applicable law or agreed to in writing, software
- distributed under the License is distributed on an "AS IS" BASIS,
- WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
- See the License for the specific language governing permissions and
- limitations under the License.
--->
-
-Kafka uses key-value pairs in the <a href="http://en.wikipedia.org/wiki/.properties">property file format</a> for configuration. These values can be supplied either from a file or programmatically.
-
-<h3><a id="brokerconfigs" href="#brokerconfigs">3.1 Broker Configs</a></h3>
-
-The essential configurations are the following:
-<ul>
- <li><code>broker.id</code>
- <li><code>log.dirs</code>
- <li><code>zookeeper.connect</code>
-</ul>
-
-Topic-level configurations and defaults are discussed in more detail <a href="#topic-config">below</a>.
-
-<!--#include virtual="generated/kafka_config.html" -->
-
-<p>More details about broker configuration can be found in the scala class <code>kafka.server.KafkaConfig</code>.</p>
-
-<a id="topic-config" href="#topic-config">Topic-level configuration</a>
-
-Configurations pertinent to topics have both a global default as well an optional per-topic override. If no per-topic configuration is given the global default is used. The override can be set at topic creation time by giving one or more <code>--config</code> options. This example creates a topic named <i>my-topic</i> with a custom max message size and flush rate:
-<pre>
-<b> > bin/kafka-topics.sh --zookeeper localhost:2181 --create --topic my-topic --partitions 1
- --replication-factor 1 --config max.message.bytes=64000 --config flush.messages=1</b>
-</pre>
-Overrides can also be changed or set later using the alter topic command. This example updates the max message size for <i>my-topic</i>:
-<pre>
-<b> > bin/kafka-topics.sh --zookeeper localhost:2181 --alter --topic my-topic
- --config max.message.bytes=128000</b>
-</pre>
-
-To remove an override you can do
-<pre>
-<b> > bin/kafka-topics.sh --zookeeper localhost:2181 --alter --topic my-topic
- --delete-config max.message.bytes</b>
-</pre>
-
-The following are the topic-level configurations. The server's default configuration for this property is given under the Server Default Property heading, setting this default in the server config allows you to change the default given to topics that have no override specified.
-<table class="data-table">
-<tbody>
- <tr>
- <th>Property</th>
- <th>Default</th>
- <th>Server Default Property</th>
- <th>Description</th>
- </tr>
- <tr>
- <td>cleanup.policy</td>
- <td>delete</td>
- <td>log.cleanup.policy</td>
- <td>A string that is either "delete" or "compact". This string designates the retention policy to use on old log segments. The default policy ("delete") will discard old segments when their retention time or size limit has been reached. The "compact" setting will enable <a href="#compaction">log compaction</a> on the topic.</td>
- </tr>
- <tr>
- <td>delete.retention.ms</td>
- <td>86400000 (24 hours)</td>
- <td>log.cleaner.delete.retention.ms</td>
- <td>The amount of time to retain delete tombstone markers for <a href="#compaction">log compacted</a> topics. This setting also gives a bound on the time in which a consumer must complete a read if they begin from offset 0 to ensure that they get a valid snapshot of the final stage (otherwise delete tombstones may be collected before they complete their scan).</td>
- </tr>
- <tr>
- <td>flush.messages</td>
- <td>None</td>
- <td>log.flush.interval.messages</td>
- <td>This setting allows specifying an interval at which we will force an fsync of data written to the log. For example if this was set to 1 we would fsync after every message; if it were 5 we would fsync after every five messages. In general we recommend you not set this and use replication for durability and allow the operating system's background flush capabilities as it is more efficient. This setting can be overridden on a per-topic basis (see <a href="#topic-config">the per-to [...]
- </tr>
- <tr>
- <td>flush.ms</td>
- <td>None</td>
- <td>log.flush.interval.ms</td>
- <td>This setting allows specifying a time interval at which we will force an fsync of data written to the log. For example if this was set to 1000 we would fsync after 1000 ms had passed. In general we recommend you not set this and use replication for durability and allow the operating system's background flush capabilities as it is more efficient.</td>
- </tr>
- <tr>
- <td>index.interval.bytes</td>
- <td>4096</td>
- <td>log.index.interval.bytes</td>
- <td>This setting controls how frequently Kafka adds an index entry to it's offset index. The default setting ensures that we index a message roughly every 4096 bytes. More indexing allows reads to jump closer to the exact position in the log but makes the index larger. You probably don't need to change this.</td>
- </tr>
- <tr>
- <td>max.message.bytes</td>
- <td>1,000,000</td>
- <td>message.max.bytes</td>
- <td>This is largest message size Kafka will allow to be appended to this topic. Note that if you increase this size you must also increase your consumer's fetch size so they can fetch messages this large.</td>
- </tr>
- <tr>
- <td>min.cleanable.dirty.ratio</td>
- <td>0.5</td>
- <td>log.cleaner.min.cleanable.ratio</td>
- <td>This configuration controls how frequently the log compactor will attempt to clean the log (assuming <a href="#compaction">log compaction</a> is enabled). By default we will avoid cleaning a log where more than 50% of the log has been compacted. This ratio bounds the maximum space wasted in the log by duplicates (at 50% at most 50% of the log could be duplicates). A higher ratio will mean fewer, more efficient cleanings but will mean more wasted space in the log.</td>
- </tr>
- <tr>
- <td>min.insync.replicas</td>
- <td>1</td>
- <td>min.insync.replicas</td>
- <td>When a producer sets acks to "all", min.insync.replicas specifies the minimum number of replicas that must acknowledge a write for the write to be considered successful. If this minimum cannot be met, then the producer will raise an exception (either NotEnoughReplicas or NotEnoughReplicasAfterAppend).
- When used together, min.insync.replicas and acks allow you to enforce greater durability guarantees. A typical scenario would be to create a topic with a replication factor of 3, set min.insync.replicas to 2, and produce with acks of "all". This will ensure that the producer raises an exception if a majority of replicas do not receive a write.</td>
- </tr>
- <tr>
- <td>retention.bytes</td>
- <td>None</td>
- <td>log.retention.bytes</td>
- <td>This configuration controls the maximum size a log can grow to before we will discard old log segments to free up space if we are using the "delete" retention policy. By default there is no size limit only a time limit.</td>
- </tr>
- <tr>
- <td>retention.ms</td>
- <td>7 days</td>
- <td>log.retention.minutes</td>
- <td>This configuration controls the maximum time we will retain a log before we will discard old log segments to free up space if we are using the "delete" retention policy. This represents an SLA on how soon consumers must read their data.</td>
- </tr>
- <tr>
- <td>segment.bytes</td>
- <td>1 GB</td>
- <td>log.segment.bytes</td>
- <td>This configuration controls the segment file size for the log. Retention and cleaning is always done a file at a time so a larger segment size means fewer files but less granular control over retention.</td>
- </tr>
- <tr>
- <td>segment.index.bytes</td>
- <td>10 MB</td>
- <td>log.index.size.max.bytes</td>
- <td>This configuration controls the size of the index that maps offsets to file positions. We preallocate this index file and shrink it only after log rolls. You generally should not need to change this setting.</td>
- </tr>
- <tr>
- <td>segment.ms</td>
- <td>7 days</td>
- <td>log.roll.hours</td>
- <td>This configuration controls the period of time after which Kafka will force the log to roll even if the segment file isn't full to ensure that retention can delete or compact old data.</td>
- </tr>
- <tr>
- <td>segment.jitter.ms</td>
- <td>0</td>
- <td>log.roll.jitter.{ms,hours}</td>
- <td>The maximum jitter to subtract from logRollTimeMillis.</td>
- </tr>
-</table>
-
-<h3><a id="producerconfigs" href="#producerconfigs">3.2 Producer Configs</a></h3>
-
-Below is the configuration of the Java producer:
-<!--#include virtual="generated/producer_config.html" -->
-
-<p>
- For those interested in the legacy Scala producer configs, information can be found <a href="http://kafka.apache.org/082/documentation.html#producerconfigs">
- here</a>.
-</p>
-
-<h3><a id="consumerconfigs" href="#consumerconfigs">3.3 Consumer Configs</a></h3>
-
-We introduce both the old 0.8 consumer configs and the new consumer configs respectively below.
-
-<h4><a id="oldconsumerconfigs" href="#oldconsumerconfigs">3.3.1 Old Consumer Configs</a></h4>
-
-The essential old consumer configurations are the following:
-<ul>
- <li><code>group.id</code>
- <li><code>zookeeper.connect</code>
-</ul>
-
-<table class="data-table">
-<tbody><tr>
- <th>Property</th>
- <th>Default</th>
- <th>Description</th>
-</tr>
- <tr>
- <td>group.id</td>
- <td colspan="1"></td>
- <td>A string that uniquely identifies the group of consumer processes to which this consumer belongs. By setting the same group id multiple processes indicate that they are all part of the same consumer group.</td>
- </tr>
- <tr>
- <td>zookeeper.connect</td>
- <td colspan="1"></td>
- <td>Specifies the ZooKeeper connection string in the form <code>hostname:port</code> where host and port are the host and port of a ZooKeeper server. To allow connecting through other ZooKeeper nodes when that ZooKeeper machine is down you can also specify multiple hosts in the form <code>hostname1:port1,hostname2:port2,hostname3:port3</code>.
- <p>
- The server may also have a ZooKeeper chroot path as part of it's ZooKeeper connection string which puts its data under some path in the global ZooKeeper namespace. If so the consumer should use the same chroot path in its connection string. For example to give a chroot path of <code>/chroot/path</code> you would give the connection string as <code>hostname1:port1,hostname2:port2,hostname3:port3/chroot/path</code>.</td>
- </tr>
- <tr>
- <td>consumer.id</td>
- <td colspan="1">null</td>
- <td>
- <p>Generated automatically if not set.</p>
- </td>
- </tr>
- <tr>
- <td>socket.timeout.ms</td>
- <td colspan="1">30 * 1000</td>
- <td>The socket timeout for network requests. The actual timeout set will be max.fetch.wait + socket.timeout.ms.</td>
- </tr>
- <tr>
- <td>socket.receive.buffer.bytes</td>
- <td colspan="1">64 * 1024</td>
- <td>The socket receive buffer for network requests</td>
- </tr>
- <tr>
- <td>fetch.message.max.bytes</td>
- <td nowrap>1024 * 1024</td>
- <td>The number of bytes of messages to attempt to fetch for each topic-partition in each fetch request. These bytes will be read into memory for each partition, so this helps control the memory used by the consumer. The fetch request size must be at least as large as the maximum message size the server allows or else it is possible for the producer to send messages larger than the consumer can fetch.</td>
- </tr>
- <tr>
- <td>num.consumer.fetchers</td>
- <td colspan="1">1</td>
- <td>The number fetcher threads used to fetch data.</td>
- </tr>
- <tr>
- <td>auto.commit.enable</td>
- <td colspan="1">true</td>
- <td>If true, periodically commit to ZooKeeper the offset of messages already fetched by the consumer. This committed offset will be used when the process fails as the position from which the new consumer will begin.</td>
- </tr>
- <tr>
- <td>auto.commit.interval.ms</td>
- <td colspan="1">60 * 1000</td>
- <td>The frequency in ms that the consumer offsets are committed to zookeeper.</td>
- </tr>
- <tr>
- <td>queued.max.message.chunks</td>
- <td colspan="1">2</td>
- <td>Max number of message chunks buffered for consumption. Each chunk can be up to fetch.message.max.bytes.</td>
- </tr>
- <tr>
- <td>rebalance.max.retries</td>
- <td colspan="1">4</td>
- <td>When a new consumer joins a consumer group the set of consumers attempt to "rebalance" the load to assign partitions to each consumer. If the set of consumers changes while this assignment is taking place the rebalance will fail and retry. This setting controls the maximum number of attempts before giving up.</td>
- </tr>
- <tr>
- <td>fetch.min.bytes</td>
- <td colspan="1">1</td>
- <td>The minimum amount of data the server should return for a fetch request. If insufficient data is available the request will wait for that much data to accumulate before answering the request.</td>
- </tr>
- <tr>
- <td>fetch.wait.max.ms</td>
- <td colspan="1">100</td>
- <td>The maximum amount of time the server will block before answering the fetch request if there isn't sufficient data to immediately satisfy fetch.min.bytes</td>
- </tr>
- <tr>
- <td>rebalance.backoff.ms</td>
- <td>2000</td>
- <td>Backoff time between retries during rebalance. If not set explicitly, the value in zookeeper.sync.time.ms is used.
- </td>
- </tr>
- <tr>
- <td>refresh.leader.backoff.ms</td>
- <td colspan="1">200</td>
- <td>Backoff time to wait before trying to determine the leader of a partition that has just lost its leader.</td>
- </tr>
- <tr>
- <td>auto.offset.reset</td>
- <td colspan="1">largest</td>
- <td>
- <p>What to do when there is no initial offset in ZooKeeper or if an offset is out of range:<br/>* smallest : automatically reset the offset to the smallest offset<br/>* largest : automatically reset the offset to the largest offset<br/>* anything else: throw exception to the consumer</p>
- </td>
- </tr>
- <tr>
- <td>consumer.timeout.ms</td>
- <td colspan="1">-1</td>
- <td>Throw a timeout exception to the consumer if no message is available for consumption after the specified interval</td>
- </tr>
- <tr>
- <td>exclude.internal.topics</td>
- <td colspan="1">true</td>
- <td>Whether messages from internal topics (such as offsets) should be exposed to the consumer.</td>
- </tr>
- <tr>
- <td>client.id</td>
- <td colspan="1">group id value</td>
- <td>The client id is a user-specified string sent in each request to help trace calls. It should logically identify the application making the request.</td>
- </tr>
- <tr>
- <td>zookeeper.session.timeout.ms </td>
- <td colspan="1">6000</td>
- <td>ZooKeeper session timeout. If the consumer fails to heartbeat to ZooKeeper for this period of time it is considered dead and a rebalance will occur.</td>
- </tr>
- <tr>
- <td>zookeeper.connection.timeout.ms</td>
- <td colspan="1">6000</td>
- <td>The max time that the client waits while establishing a connection to zookeeper.</td>
- </tr>
- <tr>
- <td>zookeeper.sync.time.ms </td>
- <td colspan="1">2000</td>
- <td>How far a ZK follower can be behind a ZK leader</td>
- </tr>
- <tr>
- <td>offsets.storage</td>
- <td colspan="1">zookeeper</td>
- <td>Select where offsets should be stored (zookeeper or kafka).</td>
- </tr>
- <tr>
- <td>offsets.channel.backoff.ms</td>
- <td colspan="1">1000</td>
- <td>The backoff period when reconnecting the offsets channel or retrying failed offset fetch/commit requests.</td>
- </tr>
- <tr>
- <td>offsets.channel.socket.timeout.ms</td>
- <td colspan="1">10000</td>
- <td>Socket timeout when reading responses for offset fetch/commit requests. This timeout is also used for ConsumerMetadata requests that are used to query for the offset manager.</td>
- </tr>
- <tr>
- <td>offsets.commit.max.retries</td>
- <td colspan="1">5</td>
- <td>Retry the offset commit up to this many times on failure. This retry count only applies to offset commits during shut-down. It does not apply to commits originating from the auto-commit thread. It also does not apply to attempts to query for the offset coordinator before committing offsets. i.e., if a consumer metadata request fails for any reason, it will be retried and that retry does not count toward this limit.</td>
- </tr>
- <tr>
- <td>dual.commit.enabled</td>
- <td colspan="1">true</td>
- <td>If you are using "kafka" as offsets.storage, you can dual commit offsets to ZooKeeper (in addition to Kafka). This is required during migration from zookeeper-based offset storage to kafka-based offset storage. With respect to any given consumer group, it is safe to turn this off after all instances within that group have been migrated to the new version that commits offsets to the broker (instead of directly to ZooKeeper).</td>
- </tr>
- <tr>
- <td>partition.assignment.strategy</td>
- <td colspan="1">range</td>
- <td><p>Select between the "range" or "roundrobin" strategy for assigning partitions to consumer streams.<p>The round-robin partition assignor lays out all the available partitions and all the available consumer threads. It then proceeds to do a round-robin assignment from partition to consumer thread. If the subscriptions of all consumer instances are identical, then the partitions will be uniformly distributed. (i.e., the partition ownership counts will be within a delta of exactl [...]
- </tr>
-</tbody>
-</table>
-
-
-<p>More details about consumer configuration can be found in the scala class <code>kafka.consumer.ConsumerConfig</code>.</p>
-
-<h4><a id="newconsumerconfigs" href="#newconsumerconfigs">3.3.2 New Consumer Configs</a></h4>
-Since 0.9.0.0 we have been working on a replacement for our existing simple and high-level consumers. The code is considered beta quality. Below is the configuration for the new consumer:
-<!--#include virtual="generated/consumer_config.html" -->
-
-<h3><a id="connectconfigs" href="#connectconfigs">3.4 Kafka Connect Configs</a></h3>
-Below is the configuration of the Kafka Connect framework.
-<!--#include virtual="generated/connect_config.html" -->
-
-<h3><a id="streamsconfigs" href="#streamsconfigs">3.5 Kafka Streams Configs</a></h3>
-Below is the configuration of the Kafka Streams client library.
-<!--#include virtual="generated/streams_config.html" -->
diff --git a/0100/configuration/_print/index.html b/0100/configuration/_print/index.html
new file mode 100644
index 000000000..83113f83a
--- /dev/null
+++ b/0100/configuration/_print/index.html
@@ -0,0 +1,42 @@
+<!doctype html><html itemscope itemtype=http://schema.org/WebPage lang=en class=no-js><head><meta charset=utf-8><meta name=viewport content="width=device-width,initial-scale=1,shrink-to-fit=no"><link rel=canonical type=text/html href=https://kafka.staged.apache.org/0100/configuration/><link rel=alternate type=application/rss+xml href=https://kafka.staged.apache.org/0100/configuration/index.xml><meta name=robots content="noindex, nofollow"><link rel=icon type=image/png sizes=32x32 href=/i [...]
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+<a class="navbar-brand order-1 order-lg-0 mx-auto mx-lg-0" href=/><img src=/logos/kafka_logo--simple.png alt="Apache Kafka" class=navbar-logo-img></a><div class="order-2 d-lg-none" style=width:48px></div><div class="collapse navbar-collapse order-3 order-lg-1" id=main_navbar><ul class="navbar-nav ms-auto"><li class="nav-item dropdown"><a class="nav-link dropdown-toggle" href=/41/getting-started/ aria-haspopup=true aria-expanded=false>Get Started</a><ul class=dropdown-menu><li><a class=dr [...]
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+<a href=# onclick="return print(),!1">Click here to print</a>.</p><p><a href=/0100/configuration/>Return to the regular view of this page</a>.</p></div><h1 class=title>Configuration</h1><ul><li>1: <a href=#pg-8f4ac1bef3462780dfbd56173affa34e>Broker Configs</a></li><li>2: <a href=#pg-c759ba8f1504e67c0a8a415cc6b037ec>Producer Configs</a></li><li>3: <a href=#pg-2690626ff43d825e60763ceda5a477c5>Consumer Configs</a></li><li>4: <a href=#pg-f333cd0d76108fa24dde7a49c62e3b95>Kafka Connect Configs [...]
+Topic-level configurations and defaults are discussed in more detail below.<table class=data-table><tbody><tr><th>Name</th><th>Description</th><th>Type</th><th>Default</th><th>Valid Values</th><th>Importance</th></tr><tr><td>zookeeper.connect</td><td>Zookeeper host string</td><td>string</td><td></td><td></td><td>high</td></tr><tr><td>advertised.host.name</td><td>DEPRECATED: only used when `advertised.listeners` or `listeners` are not set. Use `advertised.listeners` instead.
+Hostname to publish to ZooKeeper for clients to use. In IaaS environments, this may need to be different from the interface to which the broker binds. If this is not set, it will use the value for `host.name` if configured. Otherwise it will use the value returned from java.net.InetAddress.getCanonicalHostName().</td><td>string</td><td>null</td><td></td><td>high</td></tr><tr><td>advertised.listeners</td><td>Listeners to publish to ZooKeeper for clients to use, if different than the liste [...]
+The port to publish to ZooKeeper for clients to use. In IaaS environments, this may need to be different from the port to which the broker binds. If this is not set, it will publish the same port that the broker binds to.</td><td>int</td><td>null</td><td></td><td>high</td></tr><tr><td>auto.create.topics.enable</td><td>Enable auto creation of topic on the server</td><td>boolean</td><td>true</td><td></td><td>high</td></tr><tr><td>auto.leader.rebalance.enable</td><td>Enables auto leader bal [...]
+hostname of broker. If this is set, it will only bind to this address. If this is not set, it will bind to all interfaces</td><td>string</td><td>""</td><td></td><td>high</td></tr><tr><td>leader.imbalance.check.interval.seconds</td><td>The frequency with which the partition rebalance check is triggered by the controller</td><td>long</td><td>300</td><td></td><td>high</td></tr><tr><td>leader.imbalance.per.broker.percentage</td><td>The ratio of leader imbalance allowed per broker. The contro [...]
+Specify hostname as 0.0.0.0 to bind to all interfaces.
+Leave hostname empty to bind to default interface.
+Examples of legal listener lists:
+PLAINTEXT://myhost:9092,SSL://:9091
+CLIENT://0.0.0.0:9092,REPLICATION://localhost:9093</td><td>string</td><td>null</td><td></td><td>high</td></tr><tr><td>log.dir</td><td>The directory in which the log data is kept (supplemental for log.dirs property)</td><td>string</td><td>/tmp/kafka-logs</td><td></td><td>high</td></tr><tr><td>log.dirs</td><td>The directories in which the log data is kept. If not set, the value in log.dir is used</td><td>string</td><td>null</td><td></td><td>high</td></tr><tr><td>log.flush.interval.messages [...]
+the port to listen and accept connections on</td><td>int</td><td>9092</td><td></td><td>high</td></tr><tr><td>queued.max.requests</td><td>The number of queued requests allowed before blocking the network threads</td><td>int</td><td>500</td><td>[1,...]</td><td>high</td></tr><tr><td>quota.consumer.default</td><td>DEPRECATED: Used only when dynamic default quotas are not configured for <user, <client-id>or <user, client-id>in Zookeeper. Any consumer distinguished by clientId/consumer group w [...]
+This is typically bumped after all brokers were upgraded to a new version.
+Example of some valid values are: 0.8.0, 0.8.1, 0.8.1.1, 0.8.2, 0.8.2.0, 0.8.2.1, 0.9.0.0, 0.9.0.1 Check ApiVersion for the full list.</td><td>string</td><td>0.11.0-IV2</td><td></td><td>medium</td></tr><tr><td>log.cleaner.backoff.ms</td><td>The amount of time to sleep when there are no logs to clean</td><td>long</td><td>15000</td><td>[0,...]</td><td>medium</td></tr><tr><td>log.cleaner.dedupe.buffer.size</td><td>The total memory used for log deduplication across all cleaner threads</td><t [...]
+ --replication-factor 1 --config max.message.bytes=64000 --config flush.messages=1**
+</code></pre><p>Overrides can also be changed or set later using the alter topic command. This example updates the max message size for <em>my-topic</em> :</p><pre><code>** > bin/kafka-topics.sh --zookeeper localhost:2181 --alter --topic my-topic
+ --config max.message.bytes=128000**
+</code></pre><p>To remove an override you can do</p><pre><code>** > bin/kafka-topics.sh --zookeeper localhost:2181 --alter --topic my-topic
+ --delete-config max.message.bytes**
+</code></pre><table><thead><tr><th>The following are the topic-level configurations. The server’s default configuration for this property is given under the Server Default Property heading, setting this default in the server config allows you to change the default given to topics that have no override specified. Property</th><th>Default</th><th>Server Default Property</th><th>Description</th></tr></thead><tbody><tr><td>cleanup.policy</td><td>delete</td><td>log.cleanup.policy</td><t [...]
+a) directories immediately containing jars with plugins and their dependencies
+b) uber-jars with plugins and their dependencies
+c) directories immediately containing the package directory structure of classes of plugins and their dependencies
+Note: symlinks will be followed to discover dependencies or plugins.
+Examples: plugin.path=/usr/local/share/java,/usr/local/share/kafka/plugins,/opt/connectors</td><td>list</td><td>null</td><td></td><td>low</td></tr><tr><td>reconnect.backoff.max.ms</td><td>The maximum amount of time in milliseconds to wait when reconnectng to a broker that has repeatedly failed to connect. If provided, the backoff per host will increase exponentially for each consecutive connection failure, up to this maximum. After calculating the backoff increase, 20% random jitter is a [...]
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+<a id=print href=/0100/configuration/_print/><i class="fa-solid fa-print fa-fw"></i> Print entire section</a></div></div><div class=td-sticky-content><div class=td-toc-content></div><div class="taxonomy taxonomy-terms-cloud taxo-tags"><h5 class=taxonomy-title>Tag Cloud</h5><ul class=taxonomy-terms><li><a class=taxonomy-term href=https://kafka.staged.apache.org/tags/apis/ data-taxonomy-term=apis><span class=taxonomy-label>Apis</span><span class=taxonomy-count>1</span></a></li><li><a class [...]
+For up-to-date documentation, see the
+<a href=/41/ target=_blank>latest version</a>.</p></div><nav aria-label=breadcrumb class=td-breadcrumbs><ol class=breadcrumb><li class=breadcrumb-item><a href=/0100/>AK 0.10.0.X</a></li><li class=breadcrumb-item><a href=/0100/configuration/>Configuration</a></li><li class="breadcrumb-item active" aria-current=page>Broker Configs</li></ol></nav><div class=td-content><h1>Broker Configs</h1><div class=lead>Broker Configs</div><header class=article-meta><div class="taxonomy taxonomy-terms-ar [...]
+Topic-level configurations and defaults are discussed in more detail below.<table class=data-table><tbody><tr><th>Name</th><th>Description</th><th>Type</th><th>Default</th><th>Valid Values</th><th>Importance</th></tr><tr><td>zookeeper.connect</td><td>Zookeeper host string</td><td>string</td><td></td><td></td><td>high</td></tr><tr><td>advertised.host.name</td><td>DEPRECATED: only used when `advertised.listeners` or `listeners` are not set. Use `advertised.listeners` instead.
+Hostname to publish to ZooKeeper for clients to use. In IaaS environments, this may need to be different from the interface to which the broker binds. If this is not set, it will use the value for `host.name` if configured. Otherwise it will use the value returned from java.net.InetAddress.getCanonicalHostName().</td><td>string</td><td>null</td><td></td><td>high</td></tr><tr><td>advertised.listeners</td><td>Listeners to publish to ZooKeeper for clients to use, if different than the liste [...]
+The port to publish to ZooKeeper for clients to use. In IaaS environments, this may need to be different from the port to which the broker binds. If this is not set, it will publish the same port that the broker binds to.</td><td>int</td><td>null</td><td></td><td>high</td></tr><tr><td>auto.create.topics.enable</td><td>Enable auto creation of topic on the server</td><td>boolean</td><td>true</td><td></td><td>high</td></tr><tr><td>auto.leader.rebalance.enable</td><td>Enables auto leader bal [...]
+hostname of broker. If this is set, it will only bind to this address. If this is not set, it will bind to all interfaces</td><td>string</td><td>""</td><td></td><td>high</td></tr><tr><td>leader.imbalance.check.interval.seconds</td><td>The frequency with which the partition rebalance check is triggered by the controller</td><td>long</td><td>300</td><td></td><td>high</td></tr><tr><td>leader.imbalance.per.broker.percentage</td><td>The ratio of leader imbalance allowed per broker. The contro [...]
+Specify hostname as 0.0.0.0 to bind to all interfaces.
+Leave hostname empty to bind to default interface.
+Examples of legal listener lists:
+PLAINTEXT://myhost:9092,SSL://:9091
+CLIENT://0.0.0.0:9092,REPLICATION://localhost:9093</td><td>string</td><td>null</td><td></td><td>high</td></tr><tr><td>log.dir</td><td>The directory in which the log data is kept (supplemental for log.dirs property)</td><td>string</td><td>/tmp/kafka-logs</td><td></td><td>high</td></tr><tr><td>log.dirs</td><td>The directories in which the log data is kept. If not set, the value in log.dir is used</td><td>string</td><td>null</td><td></td><td>high</td></tr><tr><td>log.flush.interval.messages [...]
+the port to listen and accept connections on</td><td>int</td><td>9092</td><td></td><td>high</td></tr><tr><td>queued.max.requests</td><td>The number of queued requests allowed before blocking the network threads</td><td>int</td><td>500</td><td>[1,...]</td><td>high</td></tr><tr><td>quota.consumer.default</td><td>DEPRECATED: Used only when dynamic default quotas are not configured for <user, <client-id>or <user, client-id>in Zookeeper. Any consumer distinguished by clientId/consumer group w [...]
+This is typically bumped after all brokers were upgraded to a new version.
+Example of some valid values are: 0.8.0, 0.8.1, 0.8.1.1, 0.8.2, 0.8.2.0, 0.8.2.1, 0.9.0.0, 0.9.0.1 Check ApiVersion for the full list.</td><td>string</td><td>0.11.0-IV2</td><td></td><td>medium</td></tr><tr><td>log.cleaner.backoff.ms</td><td>The amount of time to sleep when there are no logs to clean</td><td>long</td><td>15000</td><td>[0,...]</td><td>medium</td></tr><tr><td>log.cleaner.dedupe.buffer.size</td><td>The total memory used for log deduplication across all cleaner threads</td><t [...]
+ --replication-factor 1 --config max.message.bytes=64000 --config flush.messages=1**
+</code></pre><p>Overrides can also be changed or set later using the alter topic command. This example updates the max message size for <em>my-topic</em> :</p><pre><code>** > bin/kafka-topics.sh --zookeeper localhost:2181 --alter --topic my-topic
+ --config max.message.bytes=128000**
+</code></pre><p>To remove an override you can do</p><pre><code>** > bin/kafka-topics.sh --zookeeper localhost:2181 --alter --topic my-topic
+ --delete-config max.message.bytes**
+</code></pre><table><thead><tr><th>The following are the topic-level configurations. The server’s default configuration for this property is given under the Server Default Property heading, setting this default in the server config allows you to change the default given to topics that have no override specified. Property</th><th>Default</th><th>Server Default Property</th><th>Description</th></tr></thead><tbody><tr><td>cleanup.policy</td><td>delete</td><td>log.cleanup.policy</td><t [...]
+<span class="text-dark text-truncate d-inline-block text-end" style=max-width:18rem>Producer Configs
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+broker.id log.dirs zookeeper.connect Topic-level configurations and defaults are discussed in more detail below. Name Description Type Default Valid Values Importance zookeeper.connectZookeeper host stringstringhigh advertised.host.nameDEPRECATED: only used when `advertised.listeners` or `listeners` are not set. Use `advertised.listeners` instead. Hostname to publish to ZooKeeper for clients to use. In IaaS environments, this may need to be different from the interface to which the broke [...]
+Old Consumer Configs The essential old consumer configurations are the following:
+group.id zookeeper.connect Property Default Description group.id A string that uniquely identifies the group of consumer processes to which this consumer belongs. By setting the same group id multiple processes indicate that they are all part of the same consumer group. zookeeper.connect Specifies the ZooKeeper connection string in the form hostname:port where host and port are the host and port of a ZooKeeper server.</description></item><item><title>Kafka Connect Configs</title><link>ht [...]
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+<a id=print href=/0100/configuration/_print/><i class="fa-solid fa-print fa-fw"></i> Print entire section</a></div></div><div class=td-sticky-content><div class=td-toc-content></div><div class="taxonomy taxonomy-terms-cloud taxo-tags"><h5 class=taxonomy-title>Tag Cloud</h5><ul class=taxonomy-terms><li><a class=taxonomy-term href=https://kafka.staged.apache.org/tags/apis/ data-taxonomy-term=apis><span class=taxonomy-label>Apis</span><span class=taxonomy-count>1</span></a></li><li><a class [...]
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+<a href=/41/ target=_blank>latest version</a>.</p></div><nav aria-label=breadcrumb class=td-breadcrumbs><ol class=breadcrumb><li class=breadcrumb-item><a href=/0100/>AK 0.10.0.X</a></li><li class=breadcrumb-item><a href=/0100/configuration/>Configuration</a></li><li class="breadcrumb-item active" aria-current=page>Producer Configs</li></ol></nav><div class=td-content><h1>Producer Configs</h1><div class=lead>Producer Configs</div><header class=article-meta><div class="taxonomy taxonomy-te [...]
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-<!--~
- ~ Licensed to the Apache Software Foundation (ASF) under one or more
- ~ contributor license agreements. See the NOTICE file distributed with
- ~ this work for additional information regarding copyright ownership.
- ~ The ASF licenses this file to You under the Apache License, Version 2.0
- ~ (the "License"); you may not use this file except in compliance with
- ~ the License. You may obtain a copy of the License at
- ~
- ~ http://www.apache.org/licenses/LICENSE-2.0
- ~
- ~ Unless required by applicable law or agreed to in writing, software
- ~ distributed under the License is distributed on an "AS IS" BASIS,
- ~ WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
- ~ See the License for the specific language governing permissions and
- ~ limitations under the License.
- ~-->
-
-<h3><a id="connect_overview" href="#connect_overview">8.1 Overview</a></h3>
-
-Kafka Connect is a tool for scalably and reliably streaming data between Apache Kafka and other systems. It makes it simple to quickly define <i>connectors</i> that move large collections of data into and out of Kafka. Kafka Connect can ingest entire databases or collect metrics from all your application servers into Kafka topics, making the data available for stream processing with low latency. An export job can deliver data from Kafka topics into secondary storage and query systems or [...]
-
-Kafka Connect features include:
-<ul>
- <li><b>A common framework for Kafka connectors</b> - Kafka Connect standardizes integration of other data systems with Kafka, simplifying connector development, deployment, and management</li>
- <li><b>Distributed and standalone modes</b> - scale up to a large, centrally managed service supporting an entire organization or scale down to development, testing, and small production deployments</li>
- <li><b>REST interface</b> - submit and manage connectors to your Kafka Connect cluster via an easy to use REST API</li>
- <li><b>Automatic offset management</b> - with just a little information from connectors, Kafka Connect can manage the offset commit process automatically so connector developers do not need to worry about this error prone part of connector development</li>
- <li><b>Distributed and scalable by default</b> - Kafka Connect builds on the existing group management protocol. More workers can be added to scale up a Kafka Connect cluster.</li>
- <li><b>Streaming/batch integration</b> - leveraging Kafka's existing capabilities, Kafka Connect is an ideal solution for bridging streaming and batch data systems</li>
-</ul>
-
-<h3><a id="connect_user" href="#connect_user">8.2 User Guide</a></h3>
-
-The quickstart provides a brief example of how to run a standalone version of Kafka Connect. This section describes how to configure, run, and manage Kafka Connect in more detail.
-
-<h4><a id="connect_running" href="#connect_running">Running Kafka Connect</a></h4>
-
-Kafka Connect currently supports two modes of execution: standalone (single process) and distributed.
-
-In standalone mode all work is performed in a single process. This configuration is simpler to setup and get started with and may be useful in situations where only one worker makes sense (e.g. collecting log files), but it does not benefit from some of the features of Kafka Connect such as fault tolerance. You can start a standalone process with the following command:
-
-<pre>
-> bin/connect-standalone.sh config/connect-standalone.properties connector1.properties [connector2.properties ...]
-</pre>
-
-The first parameter is the configuration for the worker. This includes settings such as the Kafka connection parameters, serialization format, and how frequently to commit offsets. The provided example should work well with a local cluster running with the default configuration provided by <code>config/server.properties</code>. It will require tweaking to use with a different configuration or production deployment.
-
-The remaining parameters are connector configuration files. You may include as many as you want, but all will execute within the same process (on different threads).
-
-Distributed mode handles automatic balancing of work, allows you to scale up (or down) dynamically, and offers fault tolerance both in the active tasks and for configuration and offset commit data. Execution is very similar to standalone mode:
-
-<pre>
-> bin/connect-distributed.sh config/connect-distributed.properties
-</pre>
-
-The difference is in the class which is started and the configuration parameters which change how the Kafka Connect process decides where to store configurations, how to assign work, and where to store offsets and task statues. In the distributed mode, Kafka Connect stores the offsets, configs and task statuses in Kafka topics. It is recommended to manually create the topics for offset, configs and statuses in order to achieve the desired the number of partitions and replication factors. [...]
-
-In particular, the following configuration parameters are critical to set before starting your cluster:
-<ul>
- <li><code>group.id</code> (default <code>connect-cluster</code>) - unique name for the cluster, used in forming the Connect cluster group; note that this <b>must not conflict</b> with consumer group IDs</li>
- <li><code>config.storage.topic</code> (default <code>connect-configs</code>) - topic to use for storing connector and task configurations; note that this should be a single partition, highly replicated topic. You may need to manually create the topic to ensure single partition for the config topic as auto created topics may have multiple partitions.</li>
- <li><code>offset.storage.topic</code> (default <code>connect-offsets</code>) - topic to use for storing offsets; this topic should have many partitions and be replicated</li>
- <li><code>status.storage.topic</code> (default <code>connect-status</code>) - topic to use for storing statuses; this topic can have multiple partitions and should be replicated</li>
-</ul>
-
-Note that in distributed mode the connector configurations are not passed on the command line. Instead, use the REST API described below to create, modify, and destroy connectors.
-
-
-<h4><a id="connect_configuring" href="#connect_configuring">Configuring Connectors</a></h4>
-
-Connector configurations are simple key-value mappings. For standalone mode these are defined in a properties file and passed to the Connect process on the command line. In distributed mode, they will be included in the JSON payload for the request that creates (or modifies) the connector.
-
-Most configurations are connector dependent, so they can't be outlined here. However, there are a few common options:
-
-<ul>
- <li><code>name</code> - Unique name for the connector. Attempting to register again with the same name will fail.</li>
- <li><code>connector.class</code> - The Java class for the connector</li>
- <li><code>tasks.max</code> - The maximum number of tasks that should be created for this connector. The connector may create fewer tasks if it cannot achieve this level of parallelism.</li>
-</ul>
-
-The <code>connector.class</code> config supports several formats: the full name or alias of the class for this connector. If the connector is org.apache.kafka.connect.file.FileStreamSinkConnector, you can either specify this full name or use FileStreamSink or FileStreamSinkConnector to make the configuration a bit shorter.
-
-Sink connectors also have one additional option to control their input:
-<ul>
- <li><code>topics</code> - A list of topics to use as input for this connector</li>
-</ul>
-
-For any other options, you should consult the documentation for the connector.
-
-<h4><a id="connect_rest" href="#connect_rest">REST API</a></h4>
-
-Since Kafka Connect is intended to be run as a service, it also provides a REST API for managing connectors. By default this service runs on port 8083. The following are the currently supported endpoints:
-
-<ul>
- <li><code>GET /connectors</code> - return a list of active connectors</li>
- <li><code>POST /connectors</code> - create a new connector; the request body should be a JSON object containing a string <code>name</code> field and a object <code>config</code> field with the connector configuration parameters</li>
- <li><code>GET /connectors/{name}</code> - get information about a specific connector</li>
- <li><code>GET /connectors/{name}/config</code> - get the configuration parameters for a specific connector</li>
- <li><code>PUT /connectors/{name}/config</code> - update the configuration parameters for a specific connector</li>
- <li><code>GET /connectors/{name}/status</code> - get current status of the connector, including if it is running, failed, paused, etc., which worker it is assigned to, error information if it has failed, and the state of all its tasks</li>
- <li><code>GET /connectors/{name}/tasks</code> - get a list of tasks currently running for a connector</li>
- <li><code>GET /connectors/{name}/tasks/{taskid}/status</code> - get current status of the task, including if it is running, failed, paused, etc., which worker it is assigned to, and error information if it has failed</li>
- <li><code>PUT /connectors/{name}/pause</code> - pause the connector and its tasks, which stops message processing until the connector is resumed</li>
- <li><code>PUT /connectors/{name}/resume</code> - resume a paused connector (or do nothing if the connector is not paused)</li>
- <li><code>POST /connectors/{name}/restart</code> - restart a connector (typically because it has failed)</li>
- <li><code>POST /connectors/{name}/tasks/{taskId}/restart</code> - restart an individual task (typically because it has failed)</li>
- <li><code>DELETE /connectors/{name}</code> - delete a connector, halting all tasks and deleting its configuration</li>
-</ul>
-
-Kafka Connect also provides a REST API for getting information about connector plugins:
-
-<ul>
- <li><code>GET /connector-plugins</code>- return a list of connector plugins installed in the Kafka Connect cluster. Note that the API only checks for connectors on the worker that handles the request, which means you may see inconsistent results, especially during a rolling upgrade if you add new connector jars</li>
- <li><code>PUT /connector-plugins/{connector-type}/config/validate</code> - validate the provided configuration values against the configuration definition. This API performs per config validation, returns suggested values and error messages during validation.</li>
-</ul>
-
-<h3><a id="connect_development" href="#connect_development">8.3 Connector Development Guide</a></h3>
-
-This guide describes how developers can write new connectors for Kafka Connect to move data between Kafka and other systems. It briefly reviews a few key concepts and then describes how to create a simple connector.
-
-<h4><a id="connect_concepts" href="#connect_concepts">Core Concepts and APIs</a></h4>
-
-<h5><a id="connect_connectorsandtasks" href="#connect_connectorsandtasks">Connectors and Tasks</a></h5>
-
-To copy data between Kafka and another system, users create a <code>Connector</code> for the system they want to pull data from or push data to. Connectors come in two flavors: <code>SourceConnectors</code> import data from another system (e.g. <code>JDBCSourceConnector</code> would import a relational database into Kafka) and <code>SinkConnectors</code> export data (e.g. <code>HDFSSinkConnector</code> would export the contents of a Kafka topic to an HDFS file).
-
-<code>Connectors</code> do not perform any data copying themselves: their configuration describes the data to be copied, and the <code>Connector</code> is responsible for breaking that job into a set of <code>Tasks</code> that can be distributed to workers. These <code>Tasks</code> also come in two corresponding flavors: <code>SourceTask</code> and <code>SinkTask</code>.
-
-With an assignment in hand, each <code>Task</code> must copy its subset of the data to or from Kafka. In Kafka Connect, it should always be possible to frame these assignments as a set of input and output streams consisting of records with consistent schemas. Sometimes this mapping is obvious: each file in a set of log files can be considered a stream with each parsed line forming a record using the same schema and offsets stored as byte offsets in the file. In other cases it may require [...]
-
-
-<h5><a id="connect_streamsandrecords" href="#connect_streamsandrecords">Streams and Records</a></h5>
-
-Each stream should be a sequence of key-value records. Both the keys and values can have complex structure -- many primitive types are provided, but arrays, objects, and nested data structures can be represented as well. The runtime data format does not assume any particular serialization format; this conversion is handled internally by the framework.
-
-In addition to the key and value, records (both those generated by sources and those delivered to sinks) have associated stream IDs and offsets. These are used by the framework to periodically commit the offsets of data that have been processed so that in the event of failures, processing can resume from the last committed offsets, avoiding unnecessary reprocessing and duplication of events.
-
-<h5><a id="connect_dynamicconnectors" href="#connect_dynamicconnectors">Dynamic Connectors</a></h5>
-
-Not all jobs are static, so <code>Connector</code> implementations are also responsible for monitoring the external system for any changes that might require reconfiguration. For example, in the <code>JDBCSourceConnector</code> example, the <code>Connector</code> might assign a set of tables to each <code>Task</code>. When a new table is created, it must discover this so it can assign the new table to one of the <code>Tasks</code> by updating its configuration. When it notices a change t [...]
-
-
-<h4><a id="connect_developing" href="#connect_developing">Developing a Simple Connector</a></h4>
-
-Developing a connector only requires implementing two interfaces, the <code>Connector</code> and <code>Task</code>. A simple example is included with the source code for Kafka in the <code>file</code> package. This connector is meant for use in standalone mode and has implementations of a <code>SourceConnector</code>/<code>SourceTask</code> to read each line of a file and emit it as a record and a <code>SinkConnector</code>/<code>SinkTask</code> that writes each record to a file.
-
-The rest of this section will walk through some code to demonstrate the key steps in creating a connector, but developers should also refer to the full example source code as many details are omitted for brevity.
-
-<h5><a id="connect_connectorexample" href="#connect_connectorexample">Connector Example</a></h5>
-
-We'll cover the <code>SourceConnector</code> as a simple example. <code>SinkConnector</code> implementations are very similar. Start by creating the class that inherits from <code>SourceConnector</code> and add a couple of fields that will store parsed configuration information (the filename to read from and the topic to send data to):
-
-<pre>
-public class FileStreamSourceConnector extends SourceConnector {
- private String filename;
- private String topic;
-</pre>
-
-The easiest method to fill in is <code>getTaskClass()</code>, which defines the class that should be instantiated in worker processes to actually read the data:
-
-<pre>
-@Override
-public Class<? extends Task> getTaskClass() {
- return FileStreamSourceTask.class;
-}
-</pre>
-
-We will define the <code>FileStreamSourceTask</code> class below. Next, we add some standard lifecycle methods, <code>start()</code> and <code>stop()</code>:
-
-<pre>
-@Override
-public void start(Map<String, String> props) {
- // The complete version includes error handling as well.
- filename = props.get(FILE_CONFIG);
- topic = props.get(TOPIC_CONFIG);
-}
-
-@Override
-public void stop() {
- // Nothing to do since no background monitoring is required.
-}
-</pre>
-
-Finally, the real core of the implementation is in <code>getTaskConfigs()</code>. In this case we are only
-handling a single file, so even though we may be permitted to generate more tasks as per the
-<code>maxTasks</code> argument, we return a list with only one entry:
-
-<pre>
-@Override
-public List<Map<String, String>> getTaskConfigs(int maxTasks) {
- ArrayList>Map<String, String>> configs = new ArrayList<>();
- // Only one input stream makes sense.
- Map<String, String> config = new Map<>();
- if (filename != null)
- config.put(FILE_CONFIG, filename);
- config.put(TOPIC_CONFIG, topic);
- configs.add(config);
- return configs;
-}
-</pre>
-
-Although not used in the example, <code>SourceTask</code> also provides two APIs to commit offsets in the source system: <code>commit</code> and <code>commitRecord</code>. The APIs are provided for source systems which have an acknowledgement mechanism for messages. Overriding these methods allows the source connector to acknowledge messages in the source system, either in bulk or individually, once they have been written to Kafka.
-The <code>commit</code> API stores the offsets in the source system, up to the offsets that have been returned by <code>poll</code>. The implementation of this API should block until the commit is complete. The <code>commitRecord</code> API saves the offset in the source system for each <code>SourceRecord</code> after it is written to Kafka. As Kafka Connect will record offsets automatically, <code>SourceTask</code>s are not required to implement them. In cases where a connector does nee [...]
-
-Even with multiple tasks, this method implementation is usually pretty simple. It just has to determine the number of input tasks, which may require contacting the remote service it is pulling data from, and then divvy them up. Because some patterns for splitting work among tasks are so common, some utilities are provided in <code>ConnectorUtils</code> to simplify these cases.
-
-Note that this simple example does not include dynamic input. See the discussion in the next section for how to trigger updates to task configs.
-
-<h5><a id="connect_taskexample" href="#connect_taskexample">Task Example - Source Task</a></h5>
-
-Next we'll describe the implementation of the corresponding <code>SourceTask</code>. The implementation is short, but too long to cover completely in this guide. We'll use pseudo-code to describe most of the implementation, but you can refer to the source code for the full example.
-
-Just as with the connector, we need to create a class inheriting from the appropriate base <code>Task</code> class. It also has some standard lifecycle methods:
-
-
-<pre>
-public class FileStreamSourceTask extends SourceTask<Object, Object> {
- String filename;
- InputStream stream;
- String topic;
-
- public void start(Map<String, String> props) {
- filename = props.get(FileStreamSourceConnector.FILE_CONFIG);
- stream = openOrThrowError(filename);
- topic = props.get(FileStreamSourceConnector.TOPIC_CONFIG);
- }
-
- @Override
- public synchronized void stop() {
- stream.close();
- }
-</pre>
-
-These are slightly simplified versions, but show that that these methods should be relatively simple and the only work they should perform is allocating or freeing resources. There are two points to note about this implementation. First, the <code>start()</code> method does not yet handle resuming from a previous offset, which will be addressed in a later section. Second, the <code>stop()</code> method is synchronized. This will be necessary because <code>SourceTasks</code> are given a d [...]
-
-Next, we implement the main functionality of the task, the <code>poll()</code> method which gets events from the input system and returns a <code>List<SourceRecord></code>:
-
-<pre>
-@Override
-public List<SourceRecord> poll() throws InterruptedException {
- try {
- ArrayList<SourceRecord> records = new ArrayList<>();
- while (streamValid(stream) && records.isEmpty()) {
- LineAndOffset line = readToNextLine(stream);
- if (line != null) {
- Map<String, Object> sourcePartition = Collections.singletonMap("filename", filename);
- Map<String, Object> sourceOffset = Collections.singletonMap("position", streamOffset);
- records.add(new SourceRecord(sourcePartition, sourceOffset, topic, Schema.STRING_SCHEMA, line));
- } else {
- Thread.sleep(1);
- }
- }
- return records;
- } catch (IOException e) {
- // Underlying stream was killed, probably as a result of calling stop. Allow to return
- // null, and driving thread will handle any shutdown if necessary.
- }
- return null;
-}
-</pre>
-
-Again, we've omitted some details, but we can see the important steps: the <code>poll()</code> method is going to be called repeatedly, and for each call it will loop trying to read records from the file. For each line it reads, it also tracks the file offset. It uses this information to create an output <code>SourceRecord</code> with four pieces of information: the source partition (there is only one, the single file being read), source offset (byte offset in the file), output topic nam [...]
-
-Note that this implementation uses the normal Java <code>InputStream</code> interface and may sleep if data is not available. This is acceptable because Kafka Connect provides each task with a dedicated thread. While task implementations have to conform to the basic <code>poll()</code> interface, they have a lot of flexibility in how they are implemented. In this case, an NIO-based implementation would be more efficient, but this simple approach works, is quick to implement, and is compa [...]
-
-<h5><a id="connect_sinktasks" href="#connect_sinktasks">Sink Tasks</a></h5>
-
-The previous section described how to implement a simple <code>SourceTask</code>. Unlike <code>SourceConnector</code> and <code>SinkConnector</code>, <code>SourceTask</code> and <code>SinkTask</code> have very different interfaces because <code>SourceTask</code> uses a pull interface and <code>SinkTask</code> uses a push interface. Both share the common lifecycle methods, but the <code>SinkTask</code> interface is quite different:
-
-<pre>
-public abstract class SinkTask implements Task {
- public void initialize(SinkTaskContext context) {
- this.context = context;
- }
-
- public abstract void put(Collection<SinkRecord> records);
-
- public abstract void flush(Map<TopicPartition, Long> offsets);
-</pre>
-
-The <code>SinkTask</code> documentation contains full details, but this interface is nearly as simple as the <code>SourceTask</code>. The <code>put()</code> method should contain most of the implementation, accepting sets of <code>SinkRecords</code>, performing any required translation, and storing them in the destination system. This method does not need to ensure the data has been fully written to the destination system before returning. In fact, in many cases internal buffering will b [...]
-
-The <code>flush()</code> method is used during the offset commit process, which allows tasks to recover from failures and resume from a safe point such that no events will be missed. The method should push any outstanding data to the destination system and then block until the write has been acknowledged. The <code>offsets</code> parameter can often be ignored, but is useful in some cases where implementations want to store offset information in the destination store to provide exactly-once
-delivery. For example, an HDFS connector could do this and use atomic move operations to make sure the <code>flush()</code> operation atomically commits the data and offsets to a final location in HDFS.
-
-
-<h5><a id="connect_resuming" href="#connect_resuming">Resuming from Previous Offsets</a></h5>
-
-The <code>SourceTask</code> implementation included a stream ID (the input filename) and offset (position in the file) with each record. The framework uses this to commit offsets periodically so that in the case of a failure, the task can recover and minimize the number of events that are reprocessed and possibly duplicated (or to resume from the most recent offset if Kafka Connect was stopped gracefully, e.g. in standalone mode or due to a job reconfiguration). This commit process is co [...]
-
-To correctly resume upon startup, the task can use the <code>SourceContext</code> passed into its <code>initialize()</code> method to access the offset data. In <code>initialize()</code>, we would add a bit more code to read the offset (if it exists) and seek to that position:
-
-<pre>
- stream = new FileInputStream(filename);
- Map<String, Object> offset = context.offsetStorageReader().offset(Collections.singletonMap(FILENAME_FIELD, filename));
- if (offset != null) {
- Long lastRecordedOffset = (Long) offset.get("position");
- if (lastRecordedOffset != null)
- seekToOffset(stream, lastRecordedOffset);
- }
-</pre>
-
-Of course, you might need to read many keys for each of the input streams. The <code>OffsetStorageReader</code> interface also allows you to issue bulk reads to efficiently load all offsets, then apply them by seeking each input stream to the appropriate position.
-
-<h4><a id="connect_dynamicio" href="#connect_dynamicio">Dynamic Input/Output Streams</a></h4>
-
-Kafka Connect is intended to define bulk data copying jobs, such as copying an entire database rather than creating many jobs to copy each table individually. One consequence of this design is that the set of input or output streams for a connector can vary over time.
-
-Source connectors need to monitor the source system for changes, e.g. table additions/deletions in a database. When they pick up changes, they should notify the framework via the <code>ConnectorContext</code> object that reconfiguration is necessary. For example, in a <code>SourceConnector</code>:
-
-<pre>
- if (inputsChanged())
- this.context.requestTaskReconfiguration();
-</pre>
-
-The framework will promptly request new configuration information and update the tasks, allowing them to gracefully commit their progress before reconfiguring them. Note that in the <code>SourceConnector</code> this monitoring is currently left up to the connector implementation. If an extra thread is required to perform this monitoring, the connector must allocate it itself.
-
-Ideally this code for monitoring changes would be isolated to the <code>Connector</code> and tasks would not need to worry about them. However, changes can also affect tasks, most commonly when one of their input streams is destroyed in the input system, e.g. if a table is dropped from a database. If the <code>Task</code> encounters the issue before the <code>Connector</code>, which will be common if the <code>Connector</code> needs to poll for changes, the <code>Task</code> will need to [...]
-
-<code>SinkConnectors</code> usually only have to handle the addition of streams, which may translate to new entries in their outputs (e.g., a new database table). The framework manages any changes to the Kafka input, such as when the set of input topics changes because of a regex subscription. <code>SinkTasks</code> should expect new input streams, which may require creating new resources in the downstream system, such as a new table in a database. The trickiest situation to handle in th [...]
-
-<h4><a id="connect_configs" href="#connect_configs">Connect Configuration Validation</a></h4>
-
-Kafka Connect allows you to validate connector configurations before submitting a connector to be executed and can provide feedback about errors and recommended values. To take advantage of this, connector developers need to provide an implementation of <code>config()</code> to expose the configuration definition to the framework.
-
-The following code in <code>FileStreamSourceConnector</code> defines the configuration and exposes it to the framework.
-
-<pre>
- private static final ConfigDef CONFIG_DEF = new ConfigDef()
- .define(FILE_CONFIG, Type.STRING, Importance.HIGH, "Source filename.")
- .define(TOPIC_CONFIG, Type.STRING, Importance.HIGH, "The topic to publish data to");
-
- public ConfigDef config() {
- return CONFIG_DEF;
- }
-</pre>
-
-<code>ConfigDef</code> class is used for specifying the set of expected configurations. For each configuration, you can specify the name, the type, the default value, the documentation, the group information, the order in the group, the width of the configuration value and the name suitable for display in the UI. Plus, you can provide special validation logic used for single configuration validation by overriding the <code>Validator</code> class. Moreover, as there may be dependencies be [...]
-
-Also, the <code>validate()</code> method in <code>Connector</code> provides a default validation implementation which returns a list of allowed configurations together with configuration errors and recommended values for each configuration. However, it does not use the recommended values for configuration validation. You may provide an override of the default implementation for customized configuration validation, which may use the recommended values.
-
-<h4><a id="connect_schemas" href="#connect_schemas">Working with Schemas</a></h4>
-
-The FileStream connectors are good examples because they are simple, but they also have trivially structured data -- each line is just a string. Almost all practical connectors will need schemas with more complex data formats.
-
-To create more complex data, you'll need to work with the Kafka Connect <code>data</code> API. Most structured records will need to interact with two classes in addition to primitive types: <code>Schema</code> and <code>Struct</code>.
-
-The API documentation provides a complete reference, but here is a simple example creating a <code>Schema</code> and <code>Struct</code>:
-
-<pre>
-Schema schema = SchemaBuilder.struct().name(NAME)
- .field("name", Schema.STRING_SCHEMA)
- .field("age", Schema.INT_SCHEMA)
- .field("admin", new SchemaBuilder.boolean().defaultValue(false).build())
- .build();
-
-Struct struct = new Struct(schema)
- .put("name", "Barbara Liskov")
- .put("age", 75)
- .build();
-</pre>
-
-If you are implementing a source connector, you'll need to decide when and how to create schemas. Where possible, you should avoid recomputing them as much as possible. For example, if your connector is guaranteed to have a fixed schema, create it statically and reuse a single instance.
-
-However, many connectors will have dynamic schemas. One simple example of this is a database connector. Considering even just a single table, the schema will not be predefined for the entire connector (as it varies from table to table). But it also may not be fixed for a single table over the lifetime of the connector since the user may execute an <code>ALTER TABLE</code> command. The connector must be able to detect these changes and react appropriately.
-
-Sink connectors are usually simpler because they are consuming data and therefore do not need to create schemas. However, they should take just as much care to validate that the schemas they receive have the expected format. When the schema does not match -- usually indicating the upstream producer is generating invalid data that cannot be correctly translated to the destination system -- sink connectors should throw an exception to indicate this error to the system.
-
-<h4><a id="connect_administration" href="#connect_administration">Kafka Connect Administration</a></h4>
-
-<p>
-Kafka Connect's <a href="#connect_rest">REST layer</a> provides a set of APIs to enable administration of the cluster. This includes APIs to view the configuration of connectors and the status of their tasks, as well as to alter their current behavior (e.g. changing configuration and restarting tasks).
-</p>
-
-<p>
-When a connector is first submitted to the cluster, the workers rebalance the full set of connectors in the cluster and their tasks so that each worker has approximately the same amount of work. This same rebalancing procedure is also used when connectors increase or decrease the number of tasks they require, or when a connector's configuration is changed. You can use the REST API to view the current status of a connector and its tasks, including the id of the worker to which each was as [...]
-</p>
-
-<pre>
-{
- "name": "file-source",
- "connector": {
- "state": "RUNNING",
- "worker_id": "192.168.1.208:8083"
- },
- "tasks": [
- {
- "id": 0,
- "state": "RUNNING",
- "worker_id": "192.168.1.209:8083"
- }
- ]
-}
-</pre>
-
-<p>
-Connectors and their tasks publish status updates to a shared topic (configured with <code>status.storage.topic</code>) which all workers in the cluster monitor. Because the workers consume this topic asynchronously, there is typically a (short) delay before a state change is visible through the status API. The following states are possible for a connector or one of its tasks:
-</p>
-
-<ul>
- <li><b>UNASSIGNED:</b> The connector/task has not yet been assigned to a worker.</li>
- <li><b>RUNNING:</b> The connector/task is running.</li>
- <li><b>PAUSED:</b> The connector/task has been administratively paused.</li>
- <li><b>FAILED:</b> The connector/task has failed (usually by raising an exception, which is reported in the status output).</li>
-</ul>
-
-<p>
-In most cases, connector and task states will match, though they may be different for short periods of time when changes are occurring or if tasks have failed. For example, when a connector is first started, there may be a noticeable delay before the connector and its tasks have all transitioned to the RUNNING state. States will also diverge when tasks fail since Connect does not automatically restart failed tasks. To restart a connector/task manually, you can use the restart APIs listed [...]
-</p>
-
-<p>
-It's sometimes useful to temporarily stop the message processing of a connector. For example, if the remote system is undergoing maintenance, it would be preferable for source connectors to stop polling it for new data instead of filling logs with exception spam. For this use case, Connect offers a pause/resume API. While a source connector is paused, Connect will stop polling it for additional records. While a sink connector is paused, Connect will stop pushing new messages to it. The p [...]
-</p>
diff --git a/0100/design.html b/0100/design.html
deleted file mode 100644
index 8ecd34aa0..000000000
--- a/0100/design.html
+++ /dev/null
@@ -1,378 +0,0 @@
-<!--
- Licensed to the Apache Software Foundation (ASF) under one or more
- contributor license agreements. See the NOTICE file distributed with
- this work for additional information regarding copyright ownership.
- The ASF licenses this file to You under the Apache License, Version 2.0
- (the "License"); you may not use this file except in compliance with
- the License. You may obtain a copy of the License at
-
- http://www.apache.org/licenses/LICENSE-2.0
-
- Unless required by applicable law or agreed to in writing, software
- distributed under the License is distributed on an "AS IS" BASIS,
- WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
- See the License for the specific language governing permissions and
- limitations under the License.
--->
-
-<h3><a id="majordesignelements" href="#majordesignelements">4.1 Motivation</a></h3>
-<p>
-We designed Kafka to be able to act as a unified platform for handling all the real-time data feeds <a href="#introduction">a large company might have</a>. To do this we had to think through a fairly broad set of use cases.
-<p>
-It would have to have high-throughput to support high volume event streams such as real-time log aggregation.
-<p>
-It would need to deal gracefully with large data backlogs to be able to support periodic data loads from offline systems.
-<p>
-It also meant the system would have to handle low-latency delivery to handle more traditional messaging use-cases.
-<p>
-We wanted to support partitioned, distributed, real-time processing of these feeds to create new, derived feeds. This motivated our partitioning and consumer model.
-<p>
-Finally in cases where the stream is fed into other data systems for serving, we knew the system would have to be able to guarantee fault-tolerance in the presence of machine failures.
-<p>
-Supporting these uses led us to a design with a number of unique elements, more akin to a database log than a traditional messaging system. We will outline some elements of the design in the following sections.
-
-<h3><a id="persistence" href="#persistence">4.2 Persistence</a></h3>
-<h4><a id="design_filesystem" href="#design_filesystem">Don't fear the filesystem!</a></h4>
-<p>
-Kafka relies heavily on the filesystem for storing and caching messages. There is a general perception that "disks are slow" which makes people skeptical that a persistent structure can offer competitive performance. In fact disks are both much slower and much faster than people expect depending on how they are used; and a properly designed disk structure can often be as fast as the network.
-<p>
-The key fact about disk performance is that the throughput of hard drives has been diverging from the latency of a disk seek for the last decade. As a result the performance of linear writes on a <a href="http://en.wikipedia.org/wiki/Non-RAID_drive_architectures">JBOD</a> configuration with six 7200rpm SATA RAID-5 array is about 600MB/sec but the performance of random writes is only about 100k/sec—a difference of over 6000X. These linear reads and writes are the most predictable of [...]
-<p>
-To compensate for this performance divergence, modern operating systems have become increasingly aggressive in their use of main memory for disk caching. A modern OS will happily divert <i>all</i> free memory to disk caching with little performance penalty when the memory is reclaimed. All disk reads and writes will go through this unified cache. This feature cannot easily be turned off without using direct I/O, so even if a process maintains an in-process cache of the data, this data wi [...]
-<p>
-Furthermore we are building on top of the JVM, and anyone who has spent any time with Java memory usage knows two things:
-<ol>
- <li>The memory overhead of objects is very high, often doubling the size of the data stored (or worse).</li>
- <li>Java garbage collection becomes increasingly fiddly and slow as the in-heap data increases.</li>
-</ol>
-<p>
-As a result of these factors using the filesystem and relying on pagecache is superior to maintaining an in-memory cache or other structure—we at least double the available cache by having automatic access to all free memory, and likely double again by storing a compact byte structure rather than individual objects. Doing so will result in a cache of up to 28-30GB on a 32GB machine without GC penalties. Furthermore this cache will stay warm even if the service is restarted, whereas [...]
-<p>
-This suggests a design which is very simple: rather than maintain as much as possible in-memory and flush it all out to the filesystem in a panic when we run out of space, we invert that. All data is immediately written to a persistent log on the filesystem without necessarily flushing to disk. In effect this just means that it is transferred into the kernel's pagecache.
-<p>
-This style of pagecache-centric design is described in an <a href="http://varnish.projects.linpro.no/wiki/ArchitectNotes">article</a> on the design of Varnish here (along with a healthy dose of arrogance).
-
-<h4><a id="design_constanttime" href="#design_constanttime">Constant Time Suffices</a></h4>
-<p>
-The persistent data structure used in messaging systems are often a per-consumer queue with an associated BTree or other general-purpose random access data structures to maintain metadata about messages. BTrees are the most versatile data structure available, and make it possible to support a wide variety of transactional and non-transactional semantics in the messaging system. They do come with a fairly high cost, though: Btree operations are O(log N). Normally O(log N) is considered es [...]
-<p>
-Intuitively a persistent queue could be built on simple reads and appends to files as is commonly the case with logging solutions. This structure has the advantage that all operations are O(1) and reads do not block writes or each other. This has obvious performance advantages since the performance is completely decoupled from the data size—one server can now take full advantage of a number of cheap, low-rotational speed 1+TB SATA drives. Though they have poor seek performance, the [...]
-<p>
-Having access to virtually unlimited disk space without any performance penalty means that we can provide some features not usually found in a messaging system. For example, in Kafka, instead of attempting to delete messages as soon as they are consumed, we can retain messages for a relatively long period (say a week). This leads to a great deal of flexibility for consumers, as we will describe.
-
-<h3><a id="maximizingefficiency" href="#maximizingefficiency">4.3 Efficiency</a></h3>
-<p>
-We have put significant effort into efficiency. One of our primary use cases is handling web activity data, which is very high volume: each page view may generate dozens of writes. Furthermore we assume each message published is read by at least one consumer (often many), hence we strive to make consumption as cheap as possible.
-<p>
-We have also found, from experience building and running a number of similar systems, that efficiency is a key to effective multi-tenant operations. If the downstream infrastructure service can easily become a bottleneck due to a small bump in usage by the application, such small changes will often create problems. By being very fast we help ensure that the application will tip-over under load before the infrastructure. This is particularly important when trying to run a centralized serv [...]
-<p>
-We discussed disk efficiency in the previous section. Once poor disk access patterns have been eliminated, there are two common causes of inefficiency in this type of system: too many small I/O operations, and excessive byte copying.
-<p>
-The small I/O problem happens both between the client and the server and in the server's own persistent operations.
-<p>
-To avoid this, our protocol is built around a "message set" abstraction that naturally groups messages together. This allows network requests to group messages together and amortize the overhead of the network roundtrip rather than sending a single message at a time. The server in turn appends chunks of messages to its log in one go, and the consumer fetches large linear chunks at a time.
-<p>
-This simple optimization produces orders of magnitude speed up. Batching leads to larger network packets, larger sequential disk operations, contiguous memory blocks, and so on, all of which allows Kafka to turn a bursty stream of random message writes into linear writes that flow to the consumers.
-<p>
-The other inefficiency is in byte copying. At low message rates this is not an issue, but under load the impact is significant. To avoid this we employ a standardized binary message format that is shared by the producer, the broker, and the consumer (so data chunks can be transferred without modification between them).
-<p>
-The message log maintained by the broker is itself just a directory of files, each populated by a sequence of message sets that have been written to disk in the same format used by the producer and consumer. Maintaining this common format allows optimization of the most important operation: network transfer of persistent log chunks. Modern unix operating systems offer a highly optimized code path for transferring data out of pagecache to a socket; in Linux this is done with the <a href=" [...]
-<p>
-To understand the impact of sendfile, it is important to understand the common data path for transfer of data from file to socket:
-<ol>
- <li>The operating system reads data from the disk into pagecache in kernel space</li>
- <li>The application reads the data from kernel space into a user-space buffer</li>
- <li>The application writes the data back into kernel space into a socket buffer</li>
- <li>The operating system copies the data from the socket buffer to the NIC buffer where it is sent over the network</li>
-</ol>
-<p>
-This is clearly inefficient, there are four copies and two system calls. Using sendfile, this re-copying is avoided by allowing the OS to send the data from pagecache to the network directly. So in this optimized path, only the final copy to the NIC buffer is needed.
-<p>
-We expect a common use case to be multiple consumers on a topic. Using the zero-copy optimization above, data is copied into pagecache exactly once and reused on each consumption instead of being stored in memory and copied out to kernel space every time it is read. This allows messages to be consumed at a rate that approaches the limit of the network connection.
-<p>
-This combination of pagecache and sendfile means that on a Kafka cluster where the consumers are mostly caught up you will see no read activity on the disks whatsoever as they will be serving data entirely from cache.
-<p>
-For more background on the sendfile and zero-copy support in Java, see this <a href="https://developer.ibm.com/articles/j-zerocopy/">article</a>.
-
-<h4><a id="design_compression" href="#design_compression">End-to-end Batch Compression</a></h4>
-<p>
-In some cases the bottleneck is actually not CPU or disk but network bandwidth. This is particularly true for a data pipeline that needs to send messages between data centers over a wide-area network. Of course the user can always compress its messages one at a time without any support needed from Kafka, but this can lead to very poor compression ratios as much of the redundancy is due to repetition between messages of the same type (e.g. field names in JSON or user agents in web logs or [...]
-<p>
-Kafka supports this by allowing recursive message sets. A batch of messages can be clumped together compressed and sent to the server in this form. This batch of messages will be written in compressed form and will remain compressed in the log and will only be decompressed by the consumer.
-<p>
-Kafka supports GZIP, Snappy and LZ4 compression protocols. More details on compression can be found <a href="https://cwiki.apache.org/confluence/display/KAFKA/Compression">here</a>.
-
-<h3><a id="theproducer" href="#theproducer">4.4 The Producer</a></h3>
-
-<h4><a id="design_loadbalancing" href="#design_loadbalancing">Load balancing</a></h4>
-<p>
-The producer sends data directly to the broker that is the leader for the partition without any intervening routing tier. To help the producer do this all Kafka nodes can answer a request for metadata about which servers are alive and where the leaders for the partitions of a topic are at any given time to allow the producer to appropriately direct its requests.
-<p>
-The client controls which partition it publishes messages to. This can be done at random, implementing a kind of random load balancing, or it can be done by some semantic partitioning function. We expose the interface for semantic partitioning by allowing the user to specify a key to partition by and using this to hash to a partition (there is also an option to override the partition function if need be). For example if the key chosen was a user id then all data for a given user would be [...]
-
-<h4><a id="design_asyncsend" href="#design_asyncsend">Asynchronous send</a></h4>
-<p>
-Batching is one of the big drivers of efficiency, and to enable batching the Kafka producer will attempt to accumulate data in memory and to send out larger batches in a single request. The batching can be configured to accumulate no more than a fixed number of messages and to wait no longer than some fixed latency bound (say 64k or 10 ms). This allows the accumulation of more bytes to send, and few larger I/O operations on the servers. This buffering is configurable and gives a mechanis [...]
-<p>
-Details on <a href="#producerconfigs">configuration</a> and the <a href="/0100/javadoc/index.html?org/apache/kafka/clients/producer/KafkaProducer.html" title="Kafka 0.10.0 Javadoc">api</a> for the producer can be found elsewhere in the documentation.
-
-<h3><a id="theconsumer" href="#theconsumer">4.5 The Consumer</a></h3>
-
-The Kafka consumer works by issuing "fetch" requests to the brokers leading the partitions it wants to consume. The consumer specifies its offset in the log with each request and receives back a chunk of log beginning from that position. The consumer thus has significant control over this position and can rewind it to re-consume data if need be.
-
-<h4><a id="design_pull" href="#design_pull">Push vs. pull</a></h4>
-<p>
-An initial question we considered is whether consumers should pull data from brokers or brokers should push data to the consumer. In this respect Kafka follows a more traditional design, shared by most messaging systems, where data is pushed to the broker from the producer and pulled from the broker by the consumer. Some logging-centric systems, such as <a href="http://github.com/facebook/scribe">Scribe</a> and <a href="http://flume.apache.org/">Apache Flume</a>, follow a very different [...]
-<p>
-Another advantage of a pull-based system is that it lends itself to aggressive batching of data sent to the consumer. A push-based system must choose to either send a request immediately or accumulate more data and then send it later without knowledge of whether the downstream consumer will be able to immediately process it. If tuned for low latency, this will result in sending a single message at a time only for the transfer to end up being buffered anyway, which is wasteful. A pull-bas [...]
-<p>
-The deficiency of a naive pull-based system is that if the broker has no data the consumer may end up polling in a tight loop, effectively busy-waiting for data to arrive. To avoid this we have parameters in our pull request that allow the consumer request to block in a "long poll" waiting until data arrives (and optionally waiting until a given number of bytes is available to ensure large transfer sizes).
-<p>
-You could imagine other possible designs which would be only pull, end-to-end. The producer would locally write to a local log, and brokers would pull from that with consumers pulling from them. A similar type of "store-and-forward" producer is often proposed. This is intriguing but we felt not very suitable for our target use cases which have thousands of producers. Our experience running persistent data systems at scale led us to feel that involving thousands of disks in the system acr [...]
-
-<h4><a id="design_consumerposition" href="#design_consumerposition">Consumer Position</a></h4>
-Keeping track of <i>what</i> has been consumed is, surprisingly, one of the key performance points of a messaging system.
-<p>
-Most messaging systems keep metadata about what messages have been consumed on the broker. That is, as a message is handed out to a consumer, the broker either records that fact locally immediately or it may wait for acknowledgement from the consumer. This is a fairly intuitive choice, and indeed for a single machine server it is not clear where else this state could go. Since the data structures used for storage in many messaging systems scale poorly, this is also a pragmatic choice--si [...]
-<p>
-What is perhaps not obvious is that getting the broker and consumer to come into agreement about what has been consumed is not a trivial problem. If the broker records a message as <b>consumed</b> immediately every time it is handed out over the network, then if the consumer fails to process the message (say because it crashes or the request times out or whatever) that message will be lost. To solve this problem, many messaging systems add an acknowledgement feature which means that mess [...]
-<p>
-Kafka handles this differently. Our topic is divided into a set of totally ordered partitions, each of which is consumed by one consumer at any given time. This means that the position of a consumer in each partition is just a single integer, the offset of the next message to consume. This makes the state about what has been consumed very small, just one number for each partition. This state can be periodically checkpointed. This makes the equivalent of message acknowledgements very cheap.
-<p>
-There is a side benefit of this decision. A consumer can deliberately <i>rewind</i> back to an old offset and re-consume data. This violates the common contract of a queue, but turns out to be an essential feature for many consumers. For example, if the consumer code has a bug and is discovered after some messages are consumed, the consumer can re-consume those messages once the bug is fixed.
-
-<h4><a id="design_offlineload" href="#design_offlineload">Offline Data Load</a></h4>
-
-Scalable persistence allows for the possibility of consumers that only periodically consume such as batch data loads that periodically bulk-load data into an offline system such as Hadoop or a relational data warehouse.
-<p>
-In the case of Hadoop we parallelize the data load by splitting the load over individual map tasks, one for each node/topic/partition combination, allowing full parallelism in the loading. Hadoop provides the task management, and tasks which fail can restart without danger of duplicate data—they simply restart from their original position.
-
-<h3><a id="semantics" href="#semantics">4.6 Message Delivery Semantics</a></h3>
-<p>
-Now that we understand a little about how producers and consumers work, let's discuss the semantic guarantees Kafka provides between producer and consumer. Clearly there are multiple possible message delivery guarantees that could be provided:
-<ul>
- <li>
- <i>At most once</i>—Messages may be lost but are never redelivered.
- </li>
- <li>
- <i>At least once</i>—Messages are never lost but may be redelivered.
- </li>
- <li>
- <i>Exactly once</i>—this is what people actually want, each message is delivered once and only once.
- </li>
-</ul>
-
-It's worth noting that this breaks down into two problems: the durability guarantees for publishing a message and the guarantees when consuming a message.
-<p>
-Many systems claim to provide "exactly once" delivery semantics, but it is important to read the fine print, most of these claims are misleading (i.e. they don't translate to the case where consumers or producers can fail, cases where there are multiple consumer processes, or cases where data written to disk can be lost).
-<p>
-Kafka's semantics are straight-forward. When publishing a message we have a notion of the message being "committed" to the log. Once a published message is committed it will not be lost as long as one broker that replicates the partition to which this message was written remains "alive". The definition of alive as well as a description of which types of failures we attempt to handle will be described in more detail in the next section. For now let's assume a perfect, lossless broker and [...]
-<p>
-These are not the strongest possible semantics for publishers. Although we cannot be sure of what happened in the case of a network error, it is possible to allow the producer to generate a sort of "primary key" that makes retrying the produce request idempotent. This feature is not trivial for a replicated system because of course it must work even (or especially) in the case of a server failure. With this feature it would suffice for the producer to retry until it receives acknowledgem [...]
-<p>
-Not all use cases require such strong guarantees. For uses which are latency sensitive we allow the producer to specify the durability level it desires. If the producer specifies that it wants to wait on the message being committed this can take on the order of 10 ms. However the producer can also specify that it wants to perform the send completely asynchronously or that it wants to wait only until the leader (but not necessarily the followers) have the message.
-<p>
-Now let's describe the semantics from the point-of-view of the consumer. All replicas have the exact same log with the same offsets. The consumer controls its position in this log. If the consumer never crashed it could just store this position in memory, but if the consumer fails and we want this topic partition to be taken over by another process the new process will need to choose an appropriate position from which to start processing. Let's say the consumer reads some messages -- it [...]
-<ol>
- <li>It can read the messages, then save its position in the log, and finally process the messages. In this case there is a possibility that the consumer process crashes after saving its position but before saving the output of its message processing. In this case the process that took over processing would start at the saved position even though a few messages prior to that position had not been processed. This corresponds to "at-most-once" semantics as in the case of a consumer failur [...]
- <li>It can read the messages, process the messages, and finally save its position. In this case there is a possibility that the consumer process crashes after processing messages but before saving its position. In this case when the new process takes over the first few messages it receives will already have been processed. This corresponds to the "at-least-once" semantics in the case of consumer failure. In many cases messages have a primary key and so the updates are idempotent (recei [...]
- <li>So what about exactly once semantics (i.e. the thing you actually want)? The limitation here is not actually a feature of the messaging system but rather the need to co-ordinate the consumer's position with what is actually stored as output. The classic way of achieving this would be to introduce a two-phase commit between the storage for the consumer position and the storage of the consumers output. But this can be handled more simply and generally by simply letting the consumer s [...]
-</ol>
-<p>
-So effectively Kafka guarantees at-least-once delivery by default and allows the user to implement at most once delivery by disabling retries on the producer and committing its offset prior to processing a batch of messages. Exactly-once delivery requires co-operation with the destination storage system but Kafka provides the offset which makes implementing this straight-forward.
-
-<h3><a id="replication" href="#replication">4.7 Replication</a></h3>
-<p>
-Kafka replicates the log for each topic's partitions across a configurable number of servers (you can set this replication factor on a topic-by-topic basis). This allows automatic failover to these replicas when a server in the cluster fails so messages remain available in the presence of failures.
-<p>
-Other messaging systems provide some replication-related features, but, in our (totally biased) opinion, this appears to be a tacked-on thing, not heavily used, and with large downsides: slaves are inactive, throughput is heavily impacted, it requires fiddly manual configuration, etc. Kafka is meant to be used with replication by default—in fact we implement un-replicated topics as replicated topics where the replication factor is one.
-<p>
-The unit of replication is the topic partition. Under non-failure conditions, each partition in Kafka has a single leader and zero or more followers. The total number of replicas including the leader constitute the replication factor. All reads and writes go to the leader of the partition. Typically, there are many more partitions than brokers and the leaders are evenly distributed among brokers. The logs on the followers are identical to the leader's log—all have the same offsets [...]
-<p>
-Followers consume messages from the leader just as a normal Kafka consumer would and apply them to their own log. Having the followers pull from the leader has the nice property of allowing the follower to naturally batch together log entries they are applying to their log.
-<p>
-As with most distributed systems automatically handling failures requires having a precise definition of what it means for a node to be "alive". For Kafka node liveness has two conditions
-<ol>
- <li>A node must be able to maintain its session with ZooKeeper (via ZooKeeper's heartbeat mechanism)
- <li>If it is a slave it must replicate the writes happening on the leader and not fall "too far" behind
-</ol>
-We refer to nodes satisfying these two conditions as being "in sync" to avoid the vagueness of "alive" or "failed". The leader keeps track of the set of "in sync" nodes. If a follower dies, gets stuck, or falls behind, the leader will remove it from the list of in sync replicas. The determination of stuck and lagging replicas is controlled by the replica.lag.time.max.ms configuration.
-<p>
-In distributed systems terminology we only attempt to handle a "fail/recover" model of failures where nodes suddenly cease working and then later recover (perhaps without knowing that they have died). Kafka does not handle so-called "Byzantine" failures in which nodes produce arbitrary or malicious responses (perhaps due to bugs or foul play).
-<p>
-A message is considered "committed" when all in sync replicas for that partition have applied it to their log. Only committed messages are ever given out to the consumer. This means that the consumer need not worry about potentially seeing a message that could be lost if the leader fails. Producers, on the other hand, have the option of either waiting for the message to be committed or not, depending on their preference for tradeoff between latency and durability. This preference is cont [...]
-<p>
-The guarantee that Kafka offers is that a committed message will not be lost, as long as there is at least one in sync replica alive, at all times.
-<p>
-Kafka will remain available in the presence of node failures after a short fail-over period, but may not remain available in the presence of network partitions.
-
-<h4><a id="design_replicatedlog" href="#design_replicatedlog">Replicated Logs: Quorums, ISRs, and State Machines (Oh my!)</a></h4>
-
-At its heart a Kafka partition is a replicated log. The replicated log is one of the most basic primitives in distributed data systems, and there are many approaches for implementing one. A replicated log can be used by other systems as a primitive for implementing other distributed systems in the <a href="http://en.wikipedia.org/wiki/State_machine_replication">state-machine style</a>.
-<p>
-A replicated log models the process of coming into consensus on the order of a series of values (generally numbering the log entries 0, 1, 2, ...). There are many ways to implement this, but the simplest and fastest is with a leader who chooses the ordering of values provided to it. As long as the leader remains alive, all followers need to only copy the values and ordering the leader chooses.
-<p>
-Of course if leaders didn't fail we wouldn't need followers! When the leader does die we need to choose a new leader from among the followers. But followers themselves may fall behind or crash so we must ensure we choose an up-to-date follower. The fundamental guarantee a log replication algorithm must provide is that if we tell the client a message is committed, and the leader fails, the new leader we elect must also have that message. This yields a tradeoff: if the leader waits for mor [...]
-<p>
-If you choose the number of acknowledgements required and the number of logs that must be compared to elect a leader such that there is guaranteed to be an overlap, then this is called a Quorum.
-<p>
-A common approach to this tradeoff is to use a majority vote for both the commit decision and the leader election. This is not what Kafka does, but let's explore it anyway to understand the tradeoffs. Let's say we have 2<i>f</i>+1 replicas. If <i>f</i>+1 replicas must receive a message prior to a commit being declared by the leader, and if we elect a new leader by electing the follower with the most complete log from at least <i>f</i>+1 replicas, then, with no more than <i>f</i> failures [...]
-<p>
-This majority vote approach has a very nice property: the latency is dependent on only the fastest servers. That is, if the replication factor is three, the latency is determined by the faster slave not the slower one.
-<p>
-There are a rich variety of algorithms in this family including ZooKeeper's <a href="http://www.stanford.edu/class/cs347/reading/zab.pdf">Zab</a>, <a href="https://ramcloud.stanford.edu/wiki/download/attachments/11370504/raft.pdf">Raft</a>, and <a href="http://pmg.csail.mit.edu/papers/vr-revisited.pdf">Viewstamped Replication</a>. The most similar academic publication we are aware of to Kafka's actual implementation is <a href="http://research.microsoft.com/apps/pubs/default.aspx?id=6681 [...]
-<p>
-The downside of majority vote is that it doesn't take many failures to leave you with no electable leaders. To tolerate one failure requires three copies of the data, and to tolerate two failures requires five copies of the data. In our experience having only enough redundancy to tolerate a single failure is not enough for a practical system, but doing every write five times, with 5x the disk space requirements and 1/5th the throughput, is not very practical for large volume data problem [...]
-<p>
-Kafka takes a slightly different approach to choosing its quorum set. Instead of majority vote, Kafka dynamically maintains a set of in-sync replicas (ISR) that are caught-up to the leader. Only members of this set are eligible for election as leader. A write to a Kafka partition is not considered committed until <i>all</i> in-sync replicas have received the write. This ISR set is persisted to ZooKeeper whenever it changes. Because of this, any replica in the ISR is eligible to be electe [...]
-<p>
-For most use cases we hope to handle, we think this tradeoff is a reasonable one. In practice, to tolerate <i>f</i> failures, both the majority vote and the ISR approach will wait for the same number of replicas to acknowledge before committing a message (e.g. to survive one failure a majority quorum needs three replicas and one acknowledgement and the ISR approach requires two replicas and one acknowledgement). The ability to commit without the slowest servers is an advantage of the maj [...]
-<p>
-Another important design distinction is that Kafka does not require that crashed nodes recover with all their data intact. It is not uncommon for replication algorithms in this space to depend on the existence of "stable storage" that cannot be lost in any failure-recovery scenario without potential consistency violations. There are two primary problems with this assumption. First, disk errors are the most common problem we observe in real operation of persistent data systems and they of [...]
-
-<h4><a id="design_uncleanleader" href="#design_uncleanleader">Unclean leader election: What if they all die?</a></h4>
-
-Note that Kafka's guarantee with respect to data loss is predicated on at least one replica remaining in sync. If all the nodes replicating a partition die, this guarantee no longer holds.
-<p>
-However a practical system needs to do something reasonable when all the replicas die. If you are unlucky enough to have this occur, it is important to consider what will happen. There are two behaviors that could be implemented:
-<ol>
- <li>Wait for a replica in the ISR to come back to life and choose this replica as the leader (hopefully it still has all its data).
- <li>Choose the first replica (not necessarily in the ISR) that comes back to life as the leader.
-</ol>
-<p>
-This is a simple tradeoff between availability and consistency. If we wait for replicas in the ISR, then we will remain unavailable as long as those replicas are down. If such replicas were destroyed or their data was lost, then we are permanently down. If, on the other hand, a non-in-sync replica comes back to life and we allow it to become leader, then its log becomes the source of truth even though it is not guaranteed to have every committed message. By default Kafka chooses the seco [...]
-<p>
-This dilemma is not specific to Kafka. It exists in any quorum-based scheme. For example in a majority voting scheme, if a majority of servers suffer a permanent failure, then you must either choose to lose 100% of your data or violate consistency by taking what remains on an existing server as your new source of truth.
-
-
-<h4><a id="design_ha" href="#design_ha">Availability and Durability Guarantees</a></h4>
-
-When writing to Kafka, producers can choose whether they wait for the message to be acknowledged by 0,1 or all (-1) replicas.
-Note that "acknowledgement by all replicas" does not guarantee that the full set of assigned replicas have received the message. By default, when acks=all, acknowledgement happens as soon as all the current in-sync replicas have received the message. For example, if a topic is configured with only two replicas and one fails (i.e., only one in sync replica remains), then writes that specify acks=all will succeed. However, these writes could be lost if the remaining replica also fails.
-
-Although this ensures maximum availability of the partition, this behavior may be undesirable to some users who prefer durability over availability. Therefore, we provide two topic-level configurations that can be used to prefer message durability over availability:
-<ol>
- <li> Disable unclean leader election - if all replicas become unavailable, then the partition will remain unavailable until the most recent leader becomes available again. This effectively prefers unavailability over the risk of message loss. See the previous section on Unclean Leader Election for clarification. </li>
- <li> Specify a minimum ISR size - the partition will only accept writes if the size of the ISR is above a certain minimum, in order to prevent the loss of messages that were written to just a single replica, which subsequently becomes unavailable. This setting only takes effect if the producer uses acks=all and guarantees that the message will be acknowledged by at least this many in-sync replicas.
-This setting offers a trade-off between consistency and availability. A higher setting for minimum ISR size guarantees better consistency since the message is guaranteed to be written to more replicas which reduces the probability that it will be lost. However, it reduces availability since the partition will be unavailable for writes if the number of in-sync replicas drops below the minimum threshold. </li>
-</ol>
-
-
-<h4><a id="design_replicamanagment" href="#design_replicamanagment">Replica Management</a></h4>
-
-The above discussion on replicated logs really covers only a single log, i.e. one topic partition. However a Kafka cluster will manage hundreds or thousands of these partitions. We attempt to balance partitions within a cluster in a round-robin fashion to avoid clustering all partitions for high-volume topics on a small number of nodes. Likewise we try to balance leadership so that each node is the leader for a proportional share of its partitions.
-<p>
-It is also important to optimize the leadership election process as that is the critical window of unavailability. A naive implementation of leader election would end up running an election per partition for all partitions a node hosted when that node failed. Instead, we elect one of the brokers as the "controller". This controller detects failures at the broker level and is responsible for changing the leader of all affected partitions in a failed broker. The result is that we are able [...]
-
-<h3><a id="compaction" href="#compaction">4.8 Log Compaction</a></h3>
-
-Log compaction ensures that Kafka will always retain at least the last known value for each message key within the log of data for a single topic partition. It addresses use cases and scenarios such as restoring state after application crashes or system failure, or reloading caches after application restarts during operational maintenance. Let's dive into these use cases in more detail and then describe how compaction works.
-<p>
-So far we have described only the simpler approach to data retention where old log data is discarded after a fixed period of time or when the log reaches some predetermined size. This works well for temporal event data such as logging where each record stands alone. However an important class of data streams are the log of changes to keyed, mutable data (for example, the changes to a database table).
-<p>
-Let's discuss a concrete example of such a stream. Say we have a topic containing user email addresses; every time a user updates their email address we send a message to this topic using their user id as the primary key. Now say we send the following messages over some time period for a user with id 123, each message corresponding to a change in email address (messages for other ids are omitted):
-<pre>
- 123 => bill@microsoft.com
- .
- .
- .
- 123 => bill@gatesfoundation.org
- .
- .
- .
- 123 => bill@gmail.com
-</pre>
-Log compaction gives us a more granular retention mechanism so that we are guaranteed to retain at least the last update for each primary key (e.g. <code>bill@gmail.com</code>). By doing this we guarantee that the log contains a full snapshot of the final value for every key not just keys that changed recently. This means downstream consumers can restore their own state off this topic without us having to retain a complete log of all changes.
-<p>
-Let's start by looking at a few use cases where this is useful, then we'll see how it can be used.
-<ol>
-<li><i>Database change subscription</i>. It is often necessary to have a data set in multiple data systems, and often one of these systems is a database of some kind (either a RDBMS or perhaps a new-fangled key-value store). For example you might have a database, a cache, a search cluster, and a Hadoop cluster. Each change to the database will need to be reflected in the cache, the search cluster, and eventually in Hadoop. In the case that one is only handling the real-time updates you o [...]
-<li><i>Event sourcing</i>. This is a style of application design which co-locates query processing with application design and uses a log of changes as the primary store for the application.
-<li><i>Journaling for high-availability</i>. A process that does local computation can be made fault-tolerant by logging out changes that it makes to it's local state so another process can reload these changes and carry on if it should fail. A concrete example of this is handling counts, aggregations, and other "group by"-like processing in a stream query system. Samza, a real-time stream-processing framework, <a href="http://samza.apache.org/learn/documentation/0.7.0/container/state-ma [...]
-</ol>
-In each of these cases one needs primarily to handle the real-time feed of changes, but occasionally, when a machine crashes or data needs to be re-loaded or re-processed, one needs to do a full load. Log compaction allows feeding both of these use cases off the same backing topic.
-
-This style of usage of a log is described in more detail in <a href="http://engineering.linkedin.com/distributed-systems/log-what-every-software-engineer-should-know-about-real-time-datas-unifying">this blog post</a>.
-<p>
-The general idea is quite simple. If we had infinite log retention, and we logged each change in the above cases, then we would have captured the state of the system at each time from when it first began. Using this complete log, we could restore to any point in time by replaying the first N records in the log. This hypothetical complete log is not very practical for systems that update a single record many times as the log will grow without bound even for a stable dataset. The simple lo [...]
-<p>
-Log compaction is a mechanism to give finer-grained per-record retention, rather than the coarser-grained time-based retention. The idea is to selectively remove records where we have a more recent update with the same primary key. This way the log is guaranteed to have at least the last state for each key.
-<p>
-This retention policy can be set per-topic, so a single cluster can have some topics where retention is enforced by size or time and other topics where retention is enforced by compaction.
-<p>
-This functionality is inspired by one of LinkedIn's oldest and most successful pieces of infrastructure—a database changelog caching service called <a href="https://github.com/linkedin/databus">Databus</a>. Unlike most log-structured storage systems Kafka is built for subscription and organizes data for fast linear reads and writes. Unlike Databus, Kafka acts as a source-of-truth store so it is useful even in situations where the upstream data source would not otherwise be replayable.
-
-<h4><a id="design_compactionbasics" href="#design_compactionbasics">Log Compaction Basics</a></h4>
-
-Here is a high-level picture that shows the logical structure of a Kafka log with the offset for each message.
-<p>
-<img src="images/log_cleaner_anatomy.png">
-<p>
-The head of the log is identical to a traditional Kafka log. It has dense, sequential offsets and retains all messages. Log compaction adds an option for handling the tail of the log. The picture above shows a log with a compacted tail. Note that the messages in the tail of the log retain the original offset assigned when they were first written—that never changes. Note also that all offsets remain valid positions in the log, even if the message with that offset has been compacted [...]
-<p>
-Compaction also allows for deletes. A message with a key and a null payload will be treated as a delete from the log. This delete marker will cause any prior message with that key to be removed (as would any new message with that key), but delete markers are special in that they will themselves be cleaned out of the log after a period of time to free up space. The point in time at which deletes are no longer retained is marked as the "delete retention point" in the above diagram.
-<p>
-The compaction is done in the background by periodically recopying log segments. Cleaning does not block reads and can be throttled to use no more than a configurable amount of I/O throughput to avoid impacting producers and consumers. The actual process of compacting a log segment looks something like this:
-<p>
-<img src="images/log_compaction.png">
-<p>
-<h4><a id="design_compactionguarantees" href="#design_compactionguarantees">What guarantees does log compaction provide?</a></h4>
-
-Log compaction guarantees the following:
-<ol>
-<li>Any consumer that stays caught-up to within the head of the log will see every message that is written; these messages will have sequential offsets.
-<li>Ordering of messages is always maintained. Compaction will never re-order messages, just remove some.
-<li>The offset for a message never changes. It is the permanent identifier for a position in the log.
-<li>Any consumer progressing from the start of the log will see at least the <em>final</em> state of all records in the order they were written. All delete markers for deleted records will be seen provided the consumer reaches the head of the log in a time period less than the topic's <code>delete.retention.ms</code> setting (the default is 24 hours). This is important as delete marker removal happens concurrently with read, and thus it is important that we do not remove any delete mar [...]
-</ol>
-
-<h4><a id="design_compactiondetails" href="#design_compactiondetails">Log Compaction Details</a></h4>
-
-Log compaction is handled by the log cleaner, a pool of background threads that recopy log segment files, removing records whose key appears in the head of the log. Each compactor thread works as follows:
-<ol>
-<li>It chooses the log that has the highest ratio of log head to log tail
-<li>It creates a succinct summary of the last offset for each key in the head of the log
-<li>It recopies the log from beginning to end removing keys which have a later occurrence in the log. New, clean segments are swapped into the log immediately so the additional disk space required is just one additional log segment (not a fully copy of the log).
-<li>The summary of the log head is essentially just a space-compact hash table. It uses exactly 24 bytes per entry. As a result with 8GB of cleaner buffer one cleaner iteration can clean around 366GB of log head (assuming 1k messages).
-</ol>
-<p>
-<h4><a id="design_compactionconfig" href="#design_compactionconfig">Configuring The Log Cleaner</a></h4>
-
-The log cleaner is disabled by default. To enable it set the server config
- <pre> log.cleaner.enable=true</pre>
-This will start the pool of cleaner threads. To enable log cleaning on a particular topic you can add the log-specific property
- <pre> log.cleanup.policy=compact</pre>
-This can be done either at topic creation time or using the alter topic command.
-<p>
-Further cleaner configurations are described <a href="/documentation.html#brokerconfigs">here</a>.
-
-<h4><a id="design_compactionlimitations" href="#design_compactionlimitations">Log Compaction Limitations</a></h4>
-
-<ol>
- <li>You cannot configure yet how much log is retained without compaction (the "head" of the log). Currently all segments are eligible except for the last segment, i.e. the one currently being written to.</li>
-</ol>
-<h3><a id="design_quotas" href="#design_quotas">4.9 Quotas</a></h3>
-<p>
- Starting in 0.9, the Kafka cluster has the ability to enforce quotas on produce and fetch requests. Quotas are basically byte-rate thresholds defined per client-id. A client-id logically identifies an application making a request. Hence a single client-id can span multiple producer and consumer instances and the quota will apply for all of them as a single entity i.e. if client-id="test-client" has a produce quota of 10MB/sec, this is shared across all instances with that same id.
-
-<h4><a id="design_quotasnecessary" href="#design_quotasnecessary">Why are quotas necessary?</a></h4>
-<p>
-It is possible for producers and consumers to produce/consume very high volumes of data and thus monopolize broker resources, cause network saturation and generally DOS other clients and the brokers themselves. Having quotas protects against these issues and is all the more important in large multi-tenant clusters where a small set of badly behaved clients can degrade user experience for the well behaved ones. In fact, when running Kafka as a service this even makes it possible to enforc [...]
-</p>
-<h4><a id="design_quotasenforcement" href="#design_quotasenforcement">Enforcement</a></h4>
-<p>
- By default, each unique client-id receives a fixed quota in bytes/sec as configured by the cluster (quota.producer.default, quota.consumer.default).
- This quota is defined on a per-broker basis. Each client can publish/fetch a maximum of X bytes/sec per broker before it gets throttled. We decided that defining these quotas per broker is much better than having a fixed cluster wide bandwidth per client because that would require a mechanism to share client quota usage among all the brokers. This can be harder to get right than the quota implementation itself!
-</p>
-<p>
- How does a broker react when it detects a quota violation? In our solution, the broker does not return an error rather it attempts to slow down a client exceeding its quota. It computes the amount of delay needed to bring a guilty client under it's quota and delays the response for that time. This approach keeps the quota violation transparent to clients (outside of client-side metrics). This also keeps them from having to implement any special backoff and retry behavior which can ge [...]
-</p>
-<p>
-Client byte rate is measured over multiple small windows (e.g. 30 windows of 1 second each) in order to detect and correct quota violations quickly. Typically, having large measurement windows (for e.g. 10 windows of 30 seconds each) leads to large bursts of traffic followed by long delays which is not great in terms of user experience.
-</p>
-<h4><a id="design_quotasoverrides" href="#design_quotasoverrides">Quota overrides</a></h4>
-<p>
- It is possible to override the default quota for client-ids that need a higher (or even lower) quota. The mechanism is similar to the per-topic log config overrides.
- Client-id overrides are written to ZooKeeper under <i><b>/config/clients</b></i>. These overrides are read by all brokers and are effective immediately. This lets us change quotas without having to do a rolling restart of the entire cluster. See <a href="#quotas">here</a> for details.
-
-</p>
diff --git a/0100/design/_print/index.html b/0100/design/_print/index.html
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+<!doctype html><html itemscope itemtype=http://schema.org/WebPage lang=en class=no-js><head><meta charset=utf-8><meta name=viewport content="width=device-width,initial-scale=1,shrink-to-fit=no"><link rel=canonical type=text/html href=https://kafka.staged.apache.org/0100/design/><link rel=alternate type=application/rss+xml href=https://kafka.staged.apache.org/0100/design/index.xml><meta name=robots content="noindex, nofollow"><link rel=icon type=image/png sizes=32x32 href=/images/apache.p [...]
+<meta name=description content="Apache Kafka"><meta property="og:title" content="Design"><meta property="og:description" content="Apache Kafka"><meta property="og:type" content="website"><meta property="og:url" content="https://kafka.staged.apache.org/0100/design/"><meta itemprop=name content="Design"><meta itemprop=description content="Apache Kafka"><meta name=twitter:card content="summary"><meta name=twitter:title content="Design"><meta name=twitter:description content="Apache Kafka">< [...]
+<span></span>
+<span></span></div></button>
+<a class="navbar-brand order-1 order-lg-0 mx-auto mx-lg-0" href=/><img src=/logos/kafka_logo--simple.png alt="Apache Kafka" class=navbar-logo-img></a><div class="order-2 d-lg-none" style=width:48px></div><div class="collapse navbar-collapse order-3 order-lg-1" id=main_navbar><ul class="navbar-nav ms-auto"><li class="nav-item dropdown"><a class="nav-link dropdown-toggle" href=/41/getting-started/ aria-haspopup=true aria-expanded=false>Get Started</a><ul class=dropdown-menu><li><a class=dr [...]
+<i class="fas fa-search"></i></button><div class=search-input-wrapper id=searchInputWrapper><div class="td-search td-search--offline"><div class=td-search__icon></div><input type=search class="td-search__input form-control" placeholder="Search this site…" aria-label="Search this site…" autocomplete=off data-offline-search-index-json-src=/offline-search-index.c029fff502ba0ddfbda6398cf06cdb6f.json data-offline-search-base-href=/ data-offline-search-max-results=10></div></div></div></div></ [...]
+<a href=# onclick="return print(),!1">Click here to print</a>.</p><p><a href=/0100/design/>Return to the regular view of this page</a>.</p></div><h1 class=title>Design</h1><ul><li>1: <a href=#pg-a0bc3ba54ff27dcedd50de5429160bd1>Design</a></li><li>2: <a href=#pg-496033e7dda2b78175e321da92ea2e13>Protocol</a></li></ul><div class=content></div></div><div class=td-content><h1 id=pg-a0bc3ba54ff27dcedd50de5429160bd1>1 - Design</h1><h2 id=motivation>Motivation<a class=td-heading-self-link href=# [...]
+We refer to nodes satisfying these two conditions as being “in sync” to avoid the vagueness of “alive” or “failed”. The leader keeps track of the set of “in sync” nodes. If a follower dies, gets stuck, or falls behind, the leader will remove it from the list of in sync replicas. The determination of stuck and lagging replicas is controlled by the replica.lag.time.max.ms configuration.</li></ol><p>In distributed systems terminology we only a [...]
+ .
+ .
+ .
+ 123 => bill@gatesfoundation.org
+ .
+ .
+ .
+ 123 => bill@gmail.com
+</code></pre><p>Log compaction gives us a more granular retention mechanism so that we are guaranteed to retain at least the last update for each primary key (e.g. <code>bill@gmail.com</code>). By doing this we guarantee that the log contains a full snapshot of the final value for every key not just keys that changed recently. This means downstream consumers can restore their own state off this topic without us having to retain a complete log of all changes.</p><p>Let’s start by lo [...]
+In each of these cases one needs primarily to handle the real-time feed of changes, but occasionally, when a machine crashes or data needs to be re-loaded or re-processed, one needs to do a full load. Log compaction allows feeding both of these use cases off the same backing topic. This style of usage of a log is described in more detail in <a href=http://engineering.linkedin.com/distributed-systems/log-what-every-software-engineer-should-know-about-real-time-datas-unifying>this blog pos [...]
+</code></pre><p>This will start the pool of cleaner threads. To enable log cleaning on a particular topic you can add the log-specific property</p><pre><code> log.cleanup.policy=compact
+</code></pre><p>This can be done either at topic creation time or using the alter topic command.</p><p>Further cleaner configurations are described <a href=/documentation.html#brokerconfigs>here</a>.</p><h3 id=log-compaction-limitations>Log Compaction Limitations<a class=td-heading-self-link href=#log-compaction-limitations aria-label="Heading self-link"></a></h3><ol><li>You cannot configure yet how much log is retained without compaction (the “head” of the log). Currently al [...]
+ Size => int32
+</code></pre><table><thead><tr><th>Field</th><th>Description</th></tr></thead><tbody><tr><td>message_size</td><td>The message_size field gives the size of the subsequent request or response message in bytes. The client can read requests by first reading this 4 byte size as an integer N, and then reading and parsing the subsequent N bytes of the request.</td></tr></tbody></table><h4 id=message-sets>Message Sets<a class=td-heading-self-link href=#message-sets aria-label="Heading self-link" [...]
+ api_key => INT16
+ api_version => INT16
+ correlation_id => INT32
+ client_id => NULLABLE_STRING
+</code></pre><table class=data-table><tbody><tr><th>Field</th><th>Description</th></tr><tr><td>api_key</td><td>The id of the request type.</td></tr><tr><td>api_version</td><td>The version of the API.</td></tr><tr><td>correlation_id</td><td>A user-supplied integer value that will be passed back with the response</td></tr><tr><td>client_id</td><td>A user specified identifier for the client making the request.</td></tr></table><pre class=line-numbers><code class=language-java>Response Heade [...]
+ correlation_id => INT32
+</code></pre><table class=data-table><tbody><tr><th>Field</th><th>Description</th></tr><tr><td>correlation_id</td><td>The user-supplied value passed in with the request</td></tr></table><h5><a name=The_Messages_Produce>Produce API (Key: 0):</a></h5><b>Requests:</b><br><p><pre class=line-numbers><code class=language-java>Produce Request (Version: 0) => acks timeout [topic_data]
+ acks => INT16
+ timeout => INT32
+ topic_data => topic [data]
+ topic => STRING
+ data => partition record_set
+ partition => INT32
+ record_set => RECORDS
+</code></pre><table class=data-table><tbody><tr><th>Field</th><th>Description</th></tr><tr><td>acks</td><td>The number of acknowledgments the producer requires the leader to have received before considering a request complete. Allowed values: 0 for no acknowledgments, 1 for only the leader and -1 for the full ISR.</td></tr><tr><td>timeout</td><td>The time to await a response in ms.</td></tr><tr><td>topic_data</td><td></td></tr><tr><td>topic</td><td></td></tr><tr><td>data</td><td></td></t [...]
+ acks => INT16
+ timeout => INT32
+ topic_data => topic [data]
+ topic => STRING
+ data => partition record_set
+ partition => INT32
+ record_set => RECORDS
+</code></pre><table class=data-table><tbody><tr><th>Field</th><th>Description</th></tr><tr><td>acks</td><td>The number of acknowledgments the producer requires the leader to have received before considering a request complete. Allowed values: 0 for no acknowledgments, 1 for only the leader and -1 for the full ISR.</td></tr><tr><td>timeout</td><td>The time to await a response in ms.</td></tr><tr><td>topic_data</td><td></td></tr><tr><td>topic</td><td></td></tr><tr><td>data</td><td></td></t [...]
+ acks => INT16
+ timeout => INT32
+ topic_data => topic [data]
+ topic => STRING
+ data => partition record_set
+ partition => INT32
+ record_set => RECORDS
+</code></pre><table class=data-table><tbody><tr><th>Field</th><th>Description</th></tr><tr><td>acks</td><td>The number of acknowledgments the producer requires the leader to have received before considering a request complete. Allowed values: 0 for no acknowledgments, 1 for only the leader and -1 for the full ISR.</td></tr><tr><td>timeout</td><td>The time to await a response in ms.</td></tr><tr><td>topic_data</td><td></td></tr><tr><td>topic</td><td></td></tr><tr><td>data</td><td></td></t [...]
+ transactional_id => NULLABLE_STRING
+ acks => INT16
+ timeout => INT32
+ topic_data => topic [data]
+ topic => STRING
+ data => partition record_set
+ partition => INT32
+ record_set => RECORDS
+</code></pre><table class=data-table><tbody><tr><th>Field</th><th>Description</th></tr><tr><td>transactional_id</td><td>The transactional ID of the producer. This is used to authorize transaction produce requests. This can be null for non-transactional producers.</td></tr><tr><td>acks</td><td>The number of acknowledgments the producer requires the leader to have received before considering a request complete. Allowed values: 0 for no acknowledgments, 1 for only the leader and -1 for the [...]
+ responses => topic [partition_responses]
+ topic => STRING
+ partition_responses => partition error_code base_offset
+ partition => INT32
+ error_code => INT16
+ base_offset => INT64
+</code></pre><table class=data-table><tbody><tr><th>Field</th><th>Description</th></tr><tr><td>responses</td><td></td></tr><tr><td>topic</td><td></td></tr><tr><td>partition_responses</td><td></td></tr><tr><td>partition</td><td></td></tr><tr><td>error_code</td><td></td></tr><tr><td>base_offset</td><td></td></tr></table></p><p><pre class=line-numbers><code class=language-java>Produce Response (Version: 1) => [responses] throttle_time_ms
+ responses => topic [partition_responses]
+ topic => STRING
+ partition_responses => partition error_code base_offset
+ partition => INT32
+ error_code => INT16
+ base_offset => INT64
+ throttle_time_ms => INT32
+</code></pre><table class=data-table><tbody><tr><th>Field</th><th>Description</th></tr><tr><td>responses</td><td></td></tr><tr><td>topic</td><td></td></tr><tr><td>partition_responses</td><td></td></tr><tr><td>partition</td><td></td></tr><tr><td>error_code</td><td></td></tr><tr><td>base_offset</td><td></td></tr><tr><td>throttle_time_ms</td><td>Duration in milliseconds for which the request was throttled due to quota violation. (Zero if the request did not violate any quota.)</td></tr></ta [...]
+ responses => topic [partition_responses]
+ topic => STRING
+ partition_responses => partition error_code base_offset log_append_time
+ partition => INT32
+ error_code => INT16
+ base_offset => INT64
+ log_append_time => INT64
+ throttle_time_ms => INT32
+</code></pre><table class=data-table><tbody><tr><th>Field</th><th>Description</th></tr><tr><td>responses</td><td></td></tr><tr><td>topic</td><td></td></tr><tr><td>partition_responses</td><td></td></tr><tr><td>partition</td><td></td></tr><tr><td>error_code</td><td></td></tr><tr><td>base_offset</td><td></td></tr><tr><td>log_append_time</td><td>The timestamp returned by broker after appending the messages. If CreateTime is used for the topic, the timestamp will be -1. If LogAppendTime is us [...]
+ responses => topic [partition_responses]
+ topic => STRING
+ partition_responses => partition error_code base_offset log_append_time
+ partition => INT32
+ error_code => INT16
+ base_offset => INT64
+ log_append_time => INT64
+ throttle_time_ms => INT32
+</code></pre><table class=data-table><tbody><tr><th>Field</th><th>Description</th></tr><tr><td>responses</td><td></td></tr><tr><td>topic</td><td></td></tr><tr><td>partition_responses</td><td></td></tr><tr><td>partition</td><td></td></tr><tr><td>error_code</td><td></td></tr><tr><td>base_offset</td><td></td></tr><tr><td>log_append_time</td><td>The timestamp returned by broker after appending the messages. If CreateTime is used for the topic, the timestamp will be -1. If LogAppendTime is us [...]
+ replica_id => INT32
+ max_wait_time => INT32
+ min_bytes => INT32
+ topics => topic [partitions]
+ topic => STRING
+ partitions => partition fetch_offset max_bytes
+ partition => INT32
+ fetch_offset => INT64
+ max_bytes => INT32
+</code></pre><table class=data-table><tbody><tr><th>Field</th><th>Description</th></tr><tr><td>replica_id</td><td>Broker id of the follower. For normal consumers, use -1.</td></tr><tr><td>max_wait_time</td><td>Maximum time in ms to wait for the response.</td></tr><tr><td>min_bytes</td><td>Minimum bytes to accumulate in the response.</td></tr><tr><td>topics</td><td>Topics to fetch.</td></tr><tr><td>topic</td><td>Topic to fetch.</td></tr><tr><td>partitions</td><td>Partitions to fetch.</td> [...]
+ replica_id => INT32
+ max_wait_time => INT32
+ min_bytes => INT32
+ topics => topic [partitions]
+ topic => STRING
+ partitions => partition fetch_offset max_bytes
+ partition => INT32
+ fetch_offset => INT64
+ max_bytes => INT32
+</code></pre><table class=data-table><tbody><tr><th>Field</th><th>Description</th></tr><tr><td>replica_id</td><td>Broker id of the follower. For normal consumers, use -1.</td></tr><tr><td>max_wait_time</td><td>Maximum time in ms to wait for the response.</td></tr><tr><td>min_bytes</td><td>Minimum bytes to accumulate in the response.</td></tr><tr><td>topics</td><td>Topics to fetch.</td></tr><tr><td>topic</td><td>Topic to fetch.</td></tr><tr><td>partitions</td><td>Partitions to fetch.</td> [...]
+ replica_id => INT32
+ max_wait_time => INT32
+ min_bytes => INT32
+ topics => topic [partitions]
+ topic => STRING
+ partitions => partition fetch_offset max_bytes
+ partition => INT32
+ fetch_offset => INT64
+ max_bytes => INT32
+</code></pre><table class=data-table><tbody><tr><th>Field</th><th>Description</th></tr><tr><td>replica_id</td><td>Broker id of the follower. For normal consumers, use -1.</td></tr><tr><td>max_wait_time</td><td>Maximum time in ms to wait for the response.</td></tr><tr><td>min_bytes</td><td>Minimum bytes to accumulate in the response.</td></tr><tr><td>topics</td><td>Topics to fetch.</td></tr><tr><td>topic</td><td>Topic to fetch.</td></tr><tr><td>partitions</td><td>Partitions to fetch.</td> [...]
+ replica_id => INT32
+ max_wait_time => INT32
+ min_bytes => INT32
+ max_bytes => INT32
+ topics => topic [partitions]
+ topic => STRING
+ partitions => partition fetch_offset max_bytes
+ partition => INT32
+ fetch_offset => INT64
+ max_bytes => INT32
+</code></pre><table class=data-table><tbody><tr><th>Field</th><th>Description</th></tr><tr><td>replica_id</td><td>Broker id of the follower. For normal consumers, use -1.</td></tr><tr><td>max_wait_time</td><td>Maximum time in ms to wait for the response.</td></tr><tr><td>min_bytes</td><td>Minimum bytes to accumulate in the response.</td></tr><tr><td>max_bytes</td><td>Maximum bytes to accumulate in the response. Note that this is not an absolute maximum, if the first message in the first [...]
+ replica_id => INT32
+ max_wait_time => INT32
+ min_bytes => INT32
+ max_bytes => INT32
+ isolation_level => INT8
+ topics => topic [partitions]
+ topic => STRING
+ partitions => partition fetch_offset max_bytes
+ partition => INT32
+ fetch_offset => INT64
+ max_bytes => INT32
+</code></pre><table class=data-table><tbody><tr><th>Field</th><th>Description</th></tr><tr><td>replica_id</td><td>Broker id of the follower. For normal consumers, use -1.</td></tr><tr><td>max_wait_time</td><td>Maximum time in ms to wait for the response.</td></tr><tr><td>min_bytes</td><td>Minimum bytes to accumulate in the response.</td></tr><tr><td>max_bytes</td><td>Maximum bytes to accumulate in the response. Note that this is not an absolute maximum, if the first message in the first [...]
+ replica_id => INT32
+ max_wait_time => INT32
+ min_bytes => INT32
+ max_bytes => INT32
+ isolation_level => INT8
+ topics => topic [partitions]
+ topic => STRING
+ partitions => partition fetch_offset log_start_offset max_bytes
+ partition => INT32
+ fetch_offset => INT64
+ log_start_offset => INT64
+ max_bytes => INT32
+</code></pre><table class=data-table><tbody><tr><th>Field</th><th>Description</th></tr><tr><td>replica_id</td><td>Broker id of the follower. For normal consumers, use -1.</td></tr><tr><td>max_wait_time</td><td>Maximum time in ms to wait for the response.</td></tr><tr><td>min_bytes</td><td>Minimum bytes to accumulate in the response.</td></tr><tr><td>max_bytes</td><td>Maximum bytes to accumulate in the response. Note that this is not an absolute maximum, if the first message in the first [...]
+ responses => topic [partition_responses]
+ topic => STRING
+ partition_responses => partition_header record_set
+ partition_header => partition error_code high_watermark
+ partition => INT32
+ error_code => INT16
+ high_watermark => INT64
+ record_set => RECORDS
+</code></pre><table class=data-table><tbody><tr><th>Field</th><th>Description</th></tr><tr><td>responses</td><td></td></tr><tr><td>topic</td><td></td></tr><tr><td>partition_responses</td><td></td></tr><tr><td>partition_header</td><td></td></tr><tr><td>partition</td><td>Topic partition id.</td></tr><tr><td>error_code</td><td></td></tr><tr><td>high_watermark</td><td>Last committed offset.</td></tr><tr><td>record_set</td><td></td></tr></table></p><p><pre class=line-numbers><code class=langu [...]
+ throttle_time_ms => INT32
+ responses => topic [partition_responses]
+ topic => STRING
+ partition_responses => partition_header record_set
+ partition_header => partition error_code high_watermark
+ partition => INT32
+ error_code => INT16
+ high_watermark => INT64
+ record_set => RECORDS
+</code></pre><table class=data-table><tbody><tr><th>Field</th><th>Description</th></tr><tr><td>throttle_time_ms</td><td>Duration in milliseconds for which the request was throttled due to quota violation. (Zero if the request did not violate any quota.)</td></tr><tr><td>responses</td><td></td></tr><tr><td>topic</td><td></td></tr><tr><td>partition_responses</td><td></td></tr><tr><td>partition_header</td><td></td></tr><tr><td>partition</td><td>Topic partition id.</td></tr><tr><td>error_cod [...]
+ throttle_time_ms => INT32
+ responses => topic [partition_responses]
+ topic => STRING
+ partition_responses => partition_header record_set
+ partition_header => partition error_code high_watermark
+ partition => INT32
+ error_code => INT16
+ high_watermark => INT64
+ record_set => RECORDS
+</code></pre><table class=data-table><tbody><tr><th>Field</th><th>Description</th></tr><tr><td>throttle_time_ms</td><td>Duration in milliseconds for which the request was throttled due to quota violation. (Zero if the request did not violate any quota.)</td></tr><tr><td>responses</td><td></td></tr><tr><td>topic</td><td></td></tr><tr><td>partition_responses</td><td></td></tr><tr><td>partition_header</td><td></td></tr><tr><td>partition</td><td>Topic partition id.</td></tr><tr><td>error_cod [...]
+ throttle_time_ms => INT32
+ responses => topic [partition_responses]
+ topic => STRING
+ partition_responses => partition_header record_set
+ partition_header => partition error_code high_watermark
+ partition => INT32
+ error_code => INT16
+ high_watermark => INT64
+ record_set => RECORDS
+</code></pre><table class=data-table><tbody><tr><th>Field</th><th>Description</th></tr><tr><td>throttle_time_ms</td><td>Duration in milliseconds for which the request was throttled due to quota violation. (Zero if the request did not violate any quota.)</td></tr><tr><td>responses</td><td></td></tr><tr><td>topic</td><td></td></tr><tr><td>partition_responses</td><td></td></tr><tr><td>partition_header</td><td></td></tr><tr><td>partition</td><td>Topic partition id.</td></tr><tr><td>error_cod [...]
+ throttle_time_ms => INT32
+ responses => topic [partition_responses]
+ topic => STRING
+ partition_responses => partition_header record_set
+ partition_header => partition error_code high_watermark last_stable_offset [aborted_transactions]
+ partition => INT32
+ error_code => INT16
+ high_watermark => INT64
+ last_stable_offset => INT64
+ aborted_transactions => producer_id first_offset
+ producer_id => INT64
+ first_offset => INT64
+ record_set => RECORDS
+</code></pre><table class=data-table><tbody><tr><th>Field</th><th>Description</th></tr><tr><td>throttle_time_ms</td><td>Duration in milliseconds for which the request was throttled due to quota violation. (Zero if the request did not violate any quota.)</td></tr><tr><td>responses</td><td></td></tr><tr><td>topic</td><td></td></tr><tr><td>partition_responses</td><td></td></tr><tr><td>partition_header</td><td></td></tr><tr><td>partition</td><td>Topic partition id.</td></tr><tr><td>error_cod [...]
+ throttle_time_ms => INT32
+ responses => topic [partition_responses]
+ topic => STRING
+ partition_responses => partition_header record_set
+ partition_header => partition error_code high_watermark last_stable_offset log_start_offset [aborted_transactions]
+ partition => INT32
+ error_code => INT16
+ high_watermark => INT64
+ last_stable_offset => INT64
+ log_start_offset => INT64
+ aborted_transactions => producer_id first_offset
+ producer_id => INT64
+ first_offset => INT64
+ record_set => RECORDS
+</code></pre><table class=data-table><tbody><tr><th>Field</th><th>Description</th></tr><tr><td>throttle_time_ms</td><td>Duration in milliseconds for which the request was throttled due to quota violation. (Zero if the request did not violate any quota.)</td></tr><tr><td>responses</td><td></td></tr><tr><td>topic</td><td></td></tr><tr><td>partition_responses</td><td></td></tr><tr><td>partition_header</td><td></td></tr><tr><td>partition</td><td>Topic partition id.</td></tr><tr><td>error_cod [...]
+ replica_id => INT32
+ topics => topic [partitions]
+ topic => STRING
+ partitions => partition timestamp max_num_offsets
+ partition => INT32
+ timestamp => INT64
+ max_num_offsets => INT32
+</code></pre><table class=data-table><tbody><tr><th>Field</th><th>Description</th></tr><tr><td>replica_id</td><td>Broker id of the follower. For normal consumers, use -1.</td></tr><tr><td>topics</td><td>Topics to list offsets.</td></tr><tr><td>topic</td><td>Topic to list offset.</td></tr><tr><td>partitions</td><td>Partitions to list offset.</td></tr><tr><td>partition</td><td>Topic partition id.</td></tr><tr><td>timestamp</td><td>Timestamp.</td></tr><tr><td>max_num_offsets</td><td>Maximum [...]
+ replica_id => INT32
+ topics => topic [partitions]
+ topic => STRING
+ partitions => partition timestamp
+ partition => INT32
+ timestamp => INT64
+</code></pre><table class=data-table><tbody><tr><th>Field</th><th>Description</th></tr><tr><td>replica_id</td><td>Broker id of the follower. For normal consumers, use -1.</td></tr><tr><td>topics</td><td>Topics to list offsets.</td></tr><tr><td>topic</td><td>Topic to list offset.</td></tr><tr><td>partitions</td><td>Partitions to list offset.</td></tr><tr><td>partition</td><td>Topic partition id.</td></tr><tr><td>timestamp</td><td>The target timestamp for the partition.</td></tr></table></ [...]
+ replica_id => INT32
+ isolation_level => INT8
+ topics => topic [partitions]
+ topic => STRING
+ partitions => partition timestamp
+ partition => INT32
+ timestamp => INT64
+</code></pre><table class=data-table><tbody><tr><th>Field</th><th>Description</th></tr><tr><td>replica_id</td><td>Broker id of the follower. For normal consumers, use -1.</td></tr><tr><td>isolation_level</td><td>This setting controls the visibility of transactional records. Using READ_UNCOMMITTED (isolation_level = 0) makes all records visible. With READ_COMMITTED (isolation_level = 1), non-transactional and COMMITTED transactional records are visible. To be more concrete, READ_COMMITTED [...]
+ responses => topic [partition_responses]
+ topic => STRING
+ partition_responses => partition error_code [offsets]
+ partition => INT32
+ error_code => INT16
+ offsets => INT64
+</code></pre><table class=data-table><tbody><tr><th>Field</th><th>Description</th></tr><tr><td>responses</td><td></td></tr><tr><td>topic</td><td></td></tr><tr><td>partition_responses</td><td></td></tr><tr><td>partition</td><td>Topic partition id.</td></tr><tr><td>error_code</td><td></td></tr><tr><td>offsets</td><td>A list of offsets.</td></tr></table></p><p><pre class=line-numbers><code class=language-java>Offsets Response (Version: 1) => [responses]
+ responses => topic [partition_responses]
+ topic => STRING
+ partition_responses => partition error_code timestamp offset
+ partition => INT32
+ error_code => INT16
+ timestamp => INT64
+ offset => INT64
+</code></pre><table class=data-table><tbody><tr><th>Field</th><th>Description</th></tr><tr><td>responses</td><td></td></tr><tr><td>topic</td><td></td></tr><tr><td>partition_responses</td><td></td></tr><tr><td>partition</td><td>Topic partition id.</td></tr><tr><td>error_code</td><td></td></tr><tr><td>timestamp</td><td>The timestamp associated with the returned offset</td></tr><tr><td>offset</td><td>offset found</td></tr></table></p><p><pre class=line-numbers><code class=language-java>Offs [...]
+ throttle_time_ms => INT32
+ responses => topic [partition_responses]
+ topic => STRING
+ partition_responses => partition error_code timestamp offset
+ partition => INT32
+ error_code => INT16
+ timestamp => INT64
+ offset => INT64
+</code></pre><table class=data-table><tbody><tr><th>Field</th><th>Description</th></tr><tr><td>throttle_time_ms</td><td>Duration in milliseconds for which the request was throttled due to quota violation. (Zero if the request did not violate any quota.)</td></tr><tr><td>responses</td><td></td></tr><tr><td>topic</td><td></td></tr><tr><td>partition_responses</td><td></td></tr><tr><td>partition</td><td>Topic partition id.</td></tr><tr><td>error_code</td><td></td></tr><tr><td>timestamp</td>< [...]
+ topics => STRING
+</code></pre><table class=data-table><tbody><tr><th>Field</th><th>Description</th></tr><tr><td>topics</td><td>An array of topics to fetch metadata for. If no topics are specified fetch metadata for all topics.</td></tr></table></p><p><pre class=line-numbers><code class=language-java>Metadata Request (Version: 1) => [topics]
+ topics => STRING
+</code></pre><table class=data-table><tbody><tr><th>Field</th><th>Description</th></tr><tr><td>topics</td><td>An array of topics to fetch metadata for. If the topics array is null fetch metadata for all topics.</td></tr></table></p><p><pre class=line-numbers><code class=language-java>Metadata Request (Version: 2) => [topics]
+ topics => STRING
+</code></pre><table class=data-table><tbody><tr><th>Field</th><th>Description</th></tr><tr><td>topics</td><td>An array of topics to fetch metadata for. If the topics array is null fetch metadata for all topics.</td></tr></table></p><p><pre class=line-numbers><code class=language-java>Metadata Request (Version: 3) => [topics]
+ topics => STRING
+</code></pre><table class=data-table><tbody><tr><th>Field</th><th>Description</th></tr><tr><td>topics</td><td>An array of topics to fetch metadata for. If the topics array is null fetch metadata for all topics.</td></tr></table></p><p><pre class=line-numbers><code class=language-java>Metadata Request (Version: 4) => [topics] allow_auto_topic_creation
+ topics => STRING
+ allow_auto_topic_creation => BOOLEAN
+</code></pre><table class=data-table><tbody><tr><th>Field</th><th>Description</th></tr><tr><td>topics</td><td>An array of topics to fetch metadata for. If the topics array is null fetch metadata for all topics.</td></tr><tr><td>allow_auto_topic_creation</td><td>If this and the broker config 'auto.create.topics.enable' are true, topics that don't exist will be created by the broker. Otherwise, no topics will be created by the broker.</td></tr></table></p><b>Responses:</b><br><p><pre class [...]
+ brokers => node_id host port
+ node_id => INT32
+ host => STRING
+ port => INT32
+ topic_metadata => topic_error_code topic [partition_metadata]
+ topic_error_code => INT16
+ topic => STRING
+ partition_metadata => partition_error_code partition_id leader [replicas] [isr]
+ partition_error_code => INT16
+ partition_id => INT32
+ leader => INT32
+ replicas => INT32
+ isr => INT32
+</code></pre><table class=data-table><tbody><tr><th>Field</th><th>Description</th></tr><tr><td>brokers</td><td>Host and port information for all brokers.</td></tr><tr><td>node_id</td><td>The broker id.</td></tr><tr><td>host</td><td>The hostname of the broker.</td></tr><tr><td>port</td><td>The port on which the broker accepts requests.</td></tr><tr><td>topic_metadata</td><td></td></tr><tr><td>topic_error_code</td><td>The error code for the given topic.</td></tr><tr><td>topic</td><td>The n [...]
+ brokers => node_id host port rack
+ node_id => INT32
+ host => STRING
+ port => INT32
+ rack => NULLABLE_STRING
+ controller_id => INT32
+ topic_metadata => topic_error_code topic is_internal [partition_metadata]
+ topic_error_code => INT16
+ topic => STRING
+ is_internal => BOOLEAN
+ partition_metadata => partition_error_code partition_id leader [replicas] [isr]
+ partition_error_code => INT16
+ partition_id => INT32
+ leader => INT32
+ replicas => INT32
+ isr => INT32
+</code></pre><table class=data-table><tbody><tr><th>Field</th><th>Description</th></tr><tr><td>brokers</td><td>Host and port information for all brokers.</td></tr><tr><td>node_id</td><td>The broker id.</td></tr><tr><td>host</td><td>The hostname of the broker.</td></tr><tr><td>port</td><td>The port on which the broker accepts requests.</td></tr><tr><td>rack</td><td>The rack of the broker.</td></tr><tr><td>controller_id</td><td>The broker id of the controller broker.</td></tr><tr><td>topic [...]
+ brokers => node_id host port rack
+ node_id => INT32
+ host => STRING
+ port => INT32
+ rack => NULLABLE_STRING
+ cluster_id => NULLABLE_STRING
+ controller_id => INT32
+ topic_metadata => topic_error_code topic is_internal [partition_metadata]
+ topic_error_code => INT16
+ topic => STRING
+ is_internal => BOOLEAN
+ partition_metadata => partition_error_code partition_id leader [replicas] [isr]
+ partition_error_code => INT16
+ partition_id => INT32
+ leader => INT32
+ replicas => INT32
+ isr => INT32
+</code></pre><table class=data-table><tbody><tr><th>Field</th><th>Description</th></tr><tr><td>brokers</td><td>Host and port information for all brokers.</td></tr><tr><td>node_id</td><td>The broker id.</td></tr><tr><td>host</td><td>The hostname of the broker.</td></tr><tr><td>port</td><td>The port on which the broker accepts requests.</td></tr><tr><td>rack</td><td>The rack of the broker.</td></tr><tr><td>cluster_id</td><td>The cluster id that this broker belongs to.</td></tr><tr><td>cont [...]
+ throttle_time_ms => INT32
+ brokers => node_id host port rack
+ node_id => INT32
+ host => STRING
+ port => INT32
+ rack => NULLABLE_STRING
+ cluster_id => NULLABLE_STRING
+ controller_id => INT32
+ topic_metadata => topic_error_code topic is_internal [partition_metadata]
+ topic_error_code => INT16
+ topic => STRING
+ is_internal => BOOLEAN
+ partition_metadata => partition_error_code partition_id leader [replicas] [isr]
+ partition_error_code => INT16
+ partition_id => INT32
+ leader => INT32
+ replicas => INT32
+ isr => INT32
+</code></pre><table class=data-table><tbody><tr><th>Field</th><th>Description</th></tr><tr><td>throttle_time_ms</td><td>Duration in milliseconds for which the request was throttled due to quota violation. (Zero if the request did not violate any quota.)</td></tr><tr><td>brokers</td><td>Host and port information for all brokers.</td></tr><tr><td>node_id</td><td>The broker id.</td></tr><tr><td>host</td><td>The hostname of the broker.</td></tr><tr><td>port</td><td>The port on which the brok [...]
+ throttle_time_ms => INT32
+ brokers => node_id host port rack
+ node_id => INT32
+ host => STRING
+ port => INT32
+ rack => NULLABLE_STRING
+ cluster_id => NULLABLE_STRING
+ controller_id => INT32
+ topic_metadata => topic_error_code topic is_internal [partition_metadata]
+ topic_error_code => INT16
+ topic => STRING
+ is_internal => BOOLEAN
+ partition_metadata => partition_error_code partition_id leader [replicas] [isr]
+ partition_error_code => INT16
+ partition_id => INT32
+ leader => INT32
+ replicas => INT32
+ isr => INT32
+</code></pre><table class=data-table><tbody><tr><th>Field</th><th>Description</th></tr><tr><td>throttle_time_ms</td><td>Duration in milliseconds for which the request was throttled due to quota violation. (Zero if the request did not violate any quota.)</td></tr><tr><td>brokers</td><td>Host and port information for all brokers.</td></tr><tr><td>node_id</td><td>The broker id.</td></tr><tr><td>host</td><td>The hostname of the broker.</td></tr><tr><td>port</td><td>The port on which the brok [...]
+ controller_id => INT32
+ controller_epoch => INT32
+ partition_states => topic partition controller_epoch leader leader_epoch [isr] zk_version [replicas]
+ topic => STRING
+ partition => INT32
+ controller_epoch => INT32
+ leader => INT32
+ leader_epoch => INT32
+ isr => INT32
+ zk_version => INT32
+ replicas => INT32
+ live_leaders => id host port
+ id => INT32
+ host => STRING
+ port => INT32
+</code></pre><table class=data-table><tbody><tr><th>Field</th><th>Description</th></tr><tr><td>controller_id</td><td>The controller id.</td></tr><tr><td>controller_epoch</td><td>The controller epoch.</td></tr><tr><td>partition_states</td><td></td></tr><tr><td>topic</td><td>Topic name.</td></tr><tr><td>partition</td><td>Topic partition id.</td></tr><tr><td>controller_epoch</td><td>The controller epoch.</td></tr><tr><td>leader</td><td>The broker id for the leader.</td></tr><tr><td>leader_e [...]
+ error_code => INT16
+ partitions => topic partition error_code
+ topic => STRING
+ partition => INT32
+ error_code => INT16
+</code></pre><table class=data-table><tbody><tr><th>Field</th><th>Description</th></tr><tr><td>error_code</td><td>Error code.</td></tr><tr><td>partitions</td><td></td></tr><tr><td>topic</td><td>Topic name.</td></tr><tr><td>partition</td><td>Topic partition id.</td></tr><tr><td>error_code</td><td>Error code.</td></tr></table></p><h5><a name=The_Messages_StopReplica>StopReplica API (Key: 5):</a></h5><b>Requests:</b><br><p><pre class=line-numbers><code class=language-java>StopReplica Reques [...]
+ controller_id => INT32
+ controller_epoch => INT32
+ delete_partitions => BOOLEAN
+ partitions => topic partition
+ topic => STRING
+ partition => INT32
+</code></pre><table class=data-table><tbody><tr><th>Field</th><th>Description</th></tr><tr><td>controller_id</td><td>The controller id.</td></tr><tr><td>controller_epoch</td><td>The controller epoch.</td></tr><tr><td>delete_partitions</td><td>Boolean which indicates if replica's partitions must be deleted.</td></tr><tr><td>partitions</td><td></td></tr><tr><td>topic</td><td>Topic name.</td></tr><tr><td>partition</td><td>Topic partition id.</td></tr></table></p><b>Responses:</b><br><p><pre [...]
+ error_code => INT16
+ partitions => topic partition error_code
+ topic => STRING
+ partition => INT32
+ error_code => INT16
+</code></pre><table class=data-table><tbody><tr><th>Field</th><th>Description</th></tr><tr><td>error_code</td><td>Error code.</td></tr><tr><td>partitions</td><td></td></tr><tr><td>topic</td><td>Topic name.</td></tr><tr><td>partition</td><td>Topic partition id.</td></tr><tr><td>error_code</td><td>Error code.</td></tr></table></p><h5><a name=The_Messages_UpdateMetadata>UpdateMetadata API (Key: 6):</a></h5><b>Requests:</b><br><p><pre class=line-numbers><code class=language-java>UpdateMetada [...]
+ controller_id => INT32
+ controller_epoch => INT32
+ partition_states => topic partition controller_epoch leader leader_epoch [isr] zk_version [replicas]
+ topic => STRING
+ partition => INT32
+ controller_epoch => INT32
+ leader => INT32
+ leader_epoch => INT32
+ isr => INT32
+ zk_version => INT32
+ replicas => INT32
+ live_brokers => id host port
+ id => INT32
+ host => STRING
+ port => INT32
+</code></pre><table class=data-table><tbody><tr><th>Field</th><th>Description</th></tr><tr><td>controller_id</td><td>The controller id.</td></tr><tr><td>controller_epoch</td><td>The controller epoch.</td></tr><tr><td>partition_states</td><td></td></tr><tr><td>topic</td><td>Topic name.</td></tr><tr><td>partition</td><td>Topic partition id.</td></tr><tr><td>controller_epoch</td><td>The controller epoch.</td></tr><tr><td>leader</td><td>The broker id for the leader.</td></tr><tr><td>leader_e [...]
+ controller_id => INT32
+ controller_epoch => INT32
+ partition_states => topic partition controller_epoch leader leader_epoch [isr] zk_version [replicas]
+ topic => STRING
+ partition => INT32
+ controller_epoch => INT32
+ leader => INT32
+ leader_epoch => INT32
+ isr => INT32
+ zk_version => INT32
+ replicas => INT32
+ live_brokers => id [end_points]
+ id => INT32
+ end_points => port host security_protocol_type
+ port => INT32
+ host => STRING
+ security_protocol_type => INT16
+</code></pre><table class=data-table><tbody><tr><th>Field</th><th>Description</th></tr><tr><td>controller_id</td><td>The controller id.</td></tr><tr><td>controller_epoch</td><td>The controller epoch.</td></tr><tr><td>partition_states</td><td></td></tr><tr><td>topic</td><td>Topic name.</td></tr><tr><td>partition</td><td>Topic partition id.</td></tr><tr><td>controller_epoch</td><td>The controller epoch.</td></tr><tr><td>leader</td><td>The broker id for the leader.</td></tr><tr><td>leader_e [...]
+ controller_id => INT32
+ controller_epoch => INT32
+ partition_states => topic partition controller_epoch leader leader_epoch [isr] zk_version [replicas]
+ topic => STRING
+ partition => INT32
+ controller_epoch => INT32
+ leader => INT32
+ leader_epoch => INT32
+ isr => INT32
+ zk_version => INT32
+ replicas => INT32
+ live_brokers => id [end_points] rack
+ id => INT32
+ end_points => port host security_protocol_type
+ port => INT32
+ host => STRING
+ security_protocol_type => INT16
+ rack => NULLABLE_STRING
+</code></pre><table class=data-table><tbody><tr><th>Field</th><th>Description</th></tr><tr><td>controller_id</td><td>The controller id.</td></tr><tr><td>controller_epoch</td><td>The controller epoch.</td></tr><tr><td>partition_states</td><td></td></tr><tr><td>topic</td><td>Topic name.</td></tr><tr><td>partition</td><td>Topic partition id.</td></tr><tr><td>controller_epoch</td><td>The controller epoch.</td></tr><tr><td>leader</td><td>The broker id for the leader.</td></tr><tr><td>leader_e [...]
+ controller_id => INT32
+ controller_epoch => INT32
+ partition_states => topic partition controller_epoch leader leader_epoch [isr] zk_version [replicas]
+ topic => STRING
+ partition => INT32
+ controller_epoch => INT32
+ leader => INT32
+ leader_epoch => INT32
+ isr => INT32
+ zk_version => INT32
+ replicas => INT32
+ live_brokers => id [end_points] rack
+ id => INT32
+ end_points => port host listener_name security_protocol_type
+ port => INT32
+ host => STRING
+ listener_name => STRING
+ security_protocol_type => INT16
+ rack => NULLABLE_STRING
+</code></pre><table class=data-table><tbody><tr><th>Field</th><th>Description</th></tr><tr><td>controller_id</td><td>The controller id.</td></tr><tr><td>controller_epoch</td><td>The controller epoch.</td></tr><tr><td>partition_states</td><td></td></tr><tr><td>topic</td><td>Topic name.</td></tr><tr><td>partition</td><td>Topic partition id.</td></tr><tr><td>controller_epoch</td><td>The controller epoch.</td></tr><tr><td>leader</td><td>The broker id for the leader.</td></tr><tr><td>leader_e [...]
+ error_code => INT16
+</code></pre><table class=data-table><tbody><tr><th>Field</th><th>Description</th></tr><tr><td>error_code</td><td>Error code.</td></tr></table></p><p><pre class=line-numbers><code class=language-java>UpdateMetadata Response (Version: 1) => error_code
+ error_code => INT16
+</code></pre><table class=data-table><tbody><tr><th>Field</th><th>Description</th></tr><tr><td>error_code</td><td>Error code.</td></tr></table></p><p><pre class=line-numbers><code class=language-java>UpdateMetadata Response (Version: 2) => error_code
+ error_code => INT16
+</code></pre><table class=data-table><tbody><tr><th>Field</th><th>Description</th></tr><tr><td>error_code</td><td>Error code.</td></tr></table></p><p><pre class=line-numbers><code class=language-java>UpdateMetadata Response (Version: 3) => error_code
+ error_code => INT16
+</code></pre><table class=data-table><tbody><tr><th>Field</th><th>Description</th></tr><tr><td>error_code</td><td>Error code.</td></tr></table></p><h5><a name=The_Messages_ControlledShutdown>ControlledShutdown API (Key: 7):</a></h5><b>Requests:</b><br></p><p><pre class=line-numbers><code class=language-java>ControlledShutdown Request (Version: 1) => broker_id
+ broker_id => INT32
+</code></pre><table class=data-table><tbody><tr><th>Field</th><th>Description</th></tr><tr><td>broker_id</td><td>The id of the broker for which controlled shutdown has been requested.</td></tr></table></p><b>Responses:</b><br></p><p><pre class=line-numbers><code class=language-java>ControlledShutdown Response (Version: 1) => error_code [partitions_remaining]
+ error_code => INT16
+ partitions_remaining => topic partition
+ topic => STRING
+ partition => INT32
+</code></pre><table class=data-table><tbody><tr><th>Field</th><th>Description</th></tr><tr><td>error_code</td><td></td></tr><tr><td>partitions_remaining</td><td>The partitions that the broker still leads.</td></tr><tr><td>topic</td><td></td></tr><tr><td>partition</td><td>Topic partition id.</td></tr></table></p><h5><a name=The_Messages_OffsetCommit>OffsetCommit API (Key: 8):</a></h5><b>Requests:</b><br><p><pre class=line-numbers><code class=language-java>OffsetCommit Request (Version: 0) [...]
+ group_id => STRING
+ topics => topic [partitions]
+ topic => STRING
+ partitions => partition offset metadata
+ partition => INT32
+ offset => INT64
+ metadata => NULLABLE_STRING
+</code></pre><table class=data-table><tbody><tr><th>Field</th><th>Description</th></tr><tr><td>group_id</td><td>The group id.</td></tr><tr><td>topics</td><td>Topics to commit offsets.</td></tr><tr><td>topic</td><td>Topic to commit.</td></tr><tr><td>partitions</td><td>Partitions to commit offsets.</td></tr><tr><td>partition</td><td>Topic partition id.</td></tr><tr><td>offset</td><td>Message offset to be committed.</td></tr><tr><td>metadata</td><td>Any associated metadata the client wants [...]
+ group_id => STRING
+ group_generation_id => INT32
+ member_id => STRING
+ topics => topic [partitions]
+ topic => STRING
+ partitions => partition offset timestamp metadata
+ partition => INT32
+ offset => INT64
+ timestamp => INT64
+ metadata => NULLABLE_STRING
+</code></pre><table class=data-table><tbody><tr><th>Field</th><th>Description</th></tr><tr><td>group_id</td><td>The group id.</td></tr><tr><td>group_generation_id</td><td>The generation of the group.</td></tr><tr><td>member_id</td><td>The member id assigned by the group coordinator.</td></tr><tr><td>topics</td><td>Topics to commit offsets.</td></tr><tr><td>topic</td><td>Topic to commit.</td></tr><tr><td>partitions</td><td>Partitions to commit offsets.</td></tr><tr><td>partition</td><td>T [...]
+ group_id => STRING
+ group_generation_id => INT32
+ member_id => STRING
+ retention_time => INT64
+ topics => topic [partitions]
+ topic => STRING
+ partitions => partition offset metadata
+ partition => INT32
+ offset => INT64
+ metadata => NULLABLE_STRING
+</code></pre><table class=data-table><tbody><tr><th>Field</th><th>Description</th></tr><tr><td>group_id</td><td>The group id.</td></tr><tr><td>group_generation_id</td><td>The generation of the consumer group.</td></tr><tr><td>member_id</td><td>The consumer id assigned by the group coordinator.</td></tr><tr><td>retention_time</td><td>Time period in ms to retain the offset.</td></tr><tr><td>topics</td><td>Topics to commit offsets.</td></tr><tr><td>topic</td><td>Topic to commit.</td></tr><t [...]
+ group_id => STRING
+ group_generation_id => INT32
+ member_id => STRING
+ retention_time => INT64
+ topics => topic [partitions]
+ topic => STRING
+ partitions => partition offset metadata
+ partition => INT32
+ offset => INT64
+ metadata => NULLABLE_STRING
+</code></pre><table class=data-table><tbody><tr><th>Field</th><th>Description</th></tr><tr><td>group_id</td><td>The group id.</td></tr><tr><td>group_generation_id</td><td>The generation of the consumer group.</td></tr><tr><td>member_id</td><td>The consumer id assigned by the group coordinator.</td></tr><tr><td>retention_time</td><td>Time period in ms to retain the offset.</td></tr><tr><td>topics</td><td>Topics to commit offsets.</td></tr><tr><td>topic</td><td>Topic to commit.</td></tr><t [...]
+ responses => topic [partition_responses]
+ topic => STRING
+ partition_responses => partition error_code
+ partition => INT32
+ error_code => INT16
+</code></pre><table class=data-table><tbody><tr><th>Field</th><th>Description</th></tr><tr><td>responses</td><td></td></tr><tr><td>topic</td><td></td></tr><tr><td>partition_responses</td><td></td></tr><tr><td>partition</td><td>Topic partition id.</td></tr><tr><td>error_code</td><td></td></tr></table></p><p><pre class=line-numbers><code class=language-java>OffsetCommit Response (Version: 1) => [responses]
+ responses => topic [partition_responses]
+ topic => STRING
+ partition_responses => partition error_code
+ partition => INT32
+ error_code => INT16
+</code></pre><table class=data-table><tbody><tr><th>Field</th><th>Description</th></tr><tr><td>responses</td><td></td></tr><tr><td>topic</td><td></td></tr><tr><td>partition_responses</td><td></td></tr><tr><td>partition</td><td>Topic partition id.</td></tr><tr><td>error_code</td><td></td></tr></table></p><p><pre class=line-numbers><code class=language-java>OffsetCommit Response (Version: 2) => [responses]
+ responses => topic [partition_responses]
+ topic => STRING
+ partition_responses => partition error_code
+ partition => INT32
+ error_code => INT16
+</code></pre><table class=data-table><tbody><tr><th>Field</th><th>Description</th></tr><tr><td>responses</td><td></td></tr><tr><td>topic</td><td></td></tr><tr><td>partition_responses</td><td></td></tr><tr><td>partition</td><td>Topic partition id.</td></tr><tr><td>error_code</td><td></td></tr></table></p><p><pre class=line-numbers><code class=language-java>OffsetCommit Response (Version: 3) => throttle_time_ms [responses]
+ throttle_time_ms => INT32
+ responses => topic [partition_responses]
+ topic => STRING
+ partition_responses => partition error_code
+ partition => INT32
+ error_code => INT16
+</code></pre><table class=data-table><tbody><tr><th>Field</th><th>Description</th></tr><tr><td>throttle_time_ms</td><td>Duration in milliseconds for which the request was throttled due to quota violation. (Zero if the request did not violate any quota.)</td></tr><tr><td>responses</td><td></td></tr><tr><td>topic</td><td></td></tr><tr><td>partition_responses</td><td></td></tr><tr><td>partition</td><td>Topic partition id.</td></tr><tr><td>error_code</td><td></td></tr></table></p><h5><a name [...]
+ group_id => STRING
+ topics => topic [partitions]
+ topic => STRING
+ partitions => partition
+ partition => INT32
+</code></pre><table class=data-table><tbody><tr><th>Field</th><th>Description</th></tr><tr><td>group_id</td><td>The consumer group id.</td></tr><tr><td>topics</td><td>Topics to fetch offsets.</td></tr><tr><td>topic</td><td>Topic to fetch offset.</td></tr><tr><td>partitions</td><td>Partitions to fetch offsets.</td></tr><tr><td>partition</td><td>Topic partition id.</td></tr></table></p><p><pre class=line-numbers><code class=language-java>OffsetFetch Request (Version: 1) => group_id [topics]
+ group_id => STRING
+ topics => topic [partitions]
+ topic => STRING
+ partitions => partition
+ partition => INT32
+</code></pre><table class=data-table><tbody><tr><th>Field</th><th>Description</th></tr><tr><td>group_id</td><td>The consumer group id.</td></tr><tr><td>topics</td><td>Topics to fetch offsets.</td></tr><tr><td>topic</td><td>Topic to fetch offset.</td></tr><tr><td>partitions</td><td>Partitions to fetch offsets.</td></tr><tr><td>partition</td><td>Topic partition id.</td></tr></table></p><p><pre class=line-numbers><code class=language-java>OffsetFetch Request (Version: 2) => group_id [topics]
+ group_id => STRING
+ topics => topic [partitions]
+ topic => STRING
+ partitions => partition
+ partition => INT32
+</code></pre><table class=data-table><tbody><tr><th>Field</th><th>Description</th></tr><tr><td>group_id</td><td>The consumer group id.</td></tr><tr><td>topics</td><td>Topics to fetch offsets. If the topic array is null fetch offsets for all topics.</td></tr><tr><td>topic</td><td>Topic to fetch offset.</td></tr><tr><td>partitions</td><td>Partitions to fetch offsets.</td></tr><tr><td>partition</td><td>Topic partition id.</td></tr></table></p><p><pre class=line-numbers><code class=language- [...]
+ group_id => STRING
+ topics => topic [partitions]
+ topic => STRING
+ partitions => partition
+ partition => INT32
+</code></pre><table class=data-table><tbody><tr><th>Field</th><th>Description</th></tr><tr><td>group_id</td><td>The consumer group id.</td></tr><tr><td>topics</td><td>Topics to fetch offsets. If the topic array is null fetch offsets for all topics.</td></tr><tr><td>topic</td><td>Topic to fetch offset.</td></tr><tr><td>partitions</td><td>Partitions to fetch offsets.</td></tr><tr><td>partition</td><td>Topic partition id.</td></tr></table></p><b>Responses:</b><br><p><pre class=line-numbers> [...]
+ responses => topic [partition_responses]
+ topic => STRING
+ partition_responses => partition offset metadata error_code
+ partition => INT32
+ offset => INT64
+ metadata => NULLABLE_STRING
+ error_code => INT16
+</code></pre><table class=data-table><tbody><tr><th>Field</th><th>Description</th></tr><tr><td>responses</td><td></td></tr><tr><td>topic</td><td></td></tr><tr><td>partition_responses</td><td></td></tr><tr><td>partition</td><td>Topic partition id.</td></tr><tr><td>offset</td><td>Last committed message offset.</td></tr><tr><td>metadata</td><td>Any associated metadata the client wants to keep.</td></tr><tr><td>error_code</td><td></td></tr></table></p><p><pre class=line-numbers><code class=l [...]
+ responses => topic [partition_responses]
+ topic => STRING
+ partition_responses => partition offset metadata error_code
+ partition => INT32
+ offset => INT64
+ metadata => NULLABLE_STRING
+ error_code => INT16
+</code></pre><table class=data-table><tbody><tr><th>Field</th><th>Description</th></tr><tr><td>responses</td><td></td></tr><tr><td>topic</td><td></td></tr><tr><td>partition_responses</td><td></td></tr><tr><td>partition</td><td>Topic partition id.</td></tr><tr><td>offset</td><td>Last committed message offset.</td></tr><tr><td>metadata</td><td>Any associated metadata the client wants to keep.</td></tr><tr><td>error_code</td><td></td></tr></table></p><p><pre class=line-numbers><code class=l [...]
+ responses => topic [partition_responses]
+ topic => STRING
+ partition_responses => partition offset metadata error_code
+ partition => INT32
+ offset => INT64
+ metadata => NULLABLE_STRING
+ error_code => INT16
+ error_code => INT16
+</code></pre><table class=data-table><tbody><tr><th>Field</th><th>Description</th></tr><tr><td>responses</td><td></td></tr><tr><td>topic</td><td></td></tr><tr><td>partition_responses</td><td></td></tr><tr><td>partition</td><td>Topic partition id.</td></tr><tr><td>offset</td><td>Last committed message offset.</td></tr><tr><td>metadata</td><td>Any associated metadata the client wants to keep.</td></tr><tr><td>error_code</td><td></td></tr><tr><td>error_code</td><td></td></tr></table></p><p> [...]
+ throttle_time_ms => INT32
+ responses => topic [partition_responses]
+ topic => STRING
+ partition_responses => partition offset metadata error_code
+ partition => INT32
+ offset => INT64
+ metadata => NULLABLE_STRING
+ error_code => INT16
+ error_code => INT16
+</code></pre><table class=data-table><tbody><tr><th>Field</th><th>Description</th></tr><tr><td>throttle_time_ms</td><td>Duration in milliseconds for which the request was throttled due to quota violation. (Zero if the request did not violate any quota.)</td></tr><tr><td>responses</td><td></td></tr><tr><td>topic</td><td></td></tr><tr><td>partition_responses</td><td></td></tr><tr><td>partition</td><td>Topic partition id.</td></tr><tr><td>offset</td><td>Last committed message offset.</td></ [...]
+ group_id => STRING
+</code></pre><table class=data-table><tbody><tr><th>Field</th><th>Description</th></tr><tr><td>group_id</td><td>The unique group id.</td></tr></table></p><p><pre class=line-numbers><code class=language-java>FindCoordinator Request (Version: 1) => coordinator_key coordinator_type
+ coordinator_key => STRING
+ coordinator_type => INT8
+</code></pre><table class=data-table><tbody><tr><th>Field</th><th>Description</th></tr><tr><td>coordinator_key</td><td>Id to use for finding the coordinator (for groups, this is the groupId, for transactional producers, this is the transactional id)</td></tr><tr><td>coordinator_type</td><td>The type of coordinator to find (0 = group, 1 = transaction)</td></tr></table></p><b>Responses:</b><br><p><pre class=line-numbers><code class=language-java>FindCoordinator Response (Version: 0) => err [...]
+ error_code => INT16
+ coordinator => node_id host port
+ node_id => INT32
+ host => STRING
+ port => INT32
+</code></pre><table class=data-table><tbody><tr><th>Field</th><th>Description</th></tr><tr><td>error_code</td><td></td></tr><tr><td>coordinator</td><td>Host and port information for the coordinator for a consumer group.</td></tr><tr><td>node_id</td><td>The broker id.</td></tr><tr><td>host</td><td>The hostname of the broker.</td></tr><tr><td>port</td><td>The port on which the broker accepts requests.</td></tr></table></p><p><pre class=line-numbers><code class=language-java>FindCoordinator [...]
+ throttle_time_ms => INT32
+ error_code => INT16
+ error_message => NULLABLE_STRING
+ coordinator => node_id host port
+ node_id => INT32
+ host => STRING
+ port => INT32
+</code></pre><table class=data-table><tbody><tr><th>Field</th><th>Description</th></tr><tr><td>throttle_time_ms</td><td>Duration in milliseconds for which the request was throttled due to quota violation. (Zero if the request did not violate any quota.)</td></tr><tr><td>error_code</td><td></td></tr><tr><td>error_message</td><td></td></tr><tr><td>coordinator</td><td>Host and port information for the coordinator for a consumer group.</td></tr><tr><td>node_id</td><td>The broker id.</td></tr [...]
+ group_id => STRING
+ session_timeout => INT32
+ member_id => STRING
+ protocol_type => STRING
+ group_protocols => protocol_name protocol_metadata
+ protocol_name => STRING
+ protocol_metadata => BYTES
+</code></pre><table class=data-table><tbody><tr><th>Field</th><th>Description</th></tr><tr><td>group_id</td><td>The group id.</td></tr><tr><td>session_timeout</td><td>The coordinator considers the consumer dead if it receives no heartbeat after this timeout in ms.</td></tr><tr><td>member_id</td><td>The assigned consumer id or an empty string for a new consumer.</td></tr><tr><td>protocol_type</td><td>Unique name for class of protocols implemented by group</td></tr><tr><td>group_protocols< [...]
+ group_id => STRING
+ session_timeout => INT32
+ rebalance_timeout => INT32
+ member_id => STRING
+ protocol_type => STRING
+ group_protocols => protocol_name protocol_metadata
+ protocol_name => STRING
+ protocol_metadata => BYTES
+</code></pre><table class=data-table><tbody><tr><th>Field</th><th>Description</th></tr><tr><td>group_id</td><td>The group id.</td></tr><tr><td>session_timeout</td><td>The coordinator considers the consumer dead if it receives no heartbeat after this timeout in ms.</td></tr><tr><td>rebalance_timeout</td><td>The maximum time that the coordinator will wait for each member to rejoin when rebalancing the group</td></tr><tr><td>member_id</td><td>The assigned consumer id or an empty string for [...]
+ group_id => STRING
+ session_timeout => INT32
+ rebalance_timeout => INT32
+ member_id => STRING
+ protocol_type => STRING
+ group_protocols => protocol_name protocol_metadata
+ protocol_name => STRING
+ protocol_metadata => BYTES
+</code></pre><table class=data-table><tbody><tr><th>Field</th><th>Description</th></tr><tr><td>group_id</td><td>The group id.</td></tr><tr><td>session_timeout</td><td>The coordinator considers the consumer dead if it receives no heartbeat after this timeout in ms.</td></tr><tr><td>rebalance_timeout</td><td>The maximum time that the coordinator will wait for each member to rejoin when rebalancing the group</td></tr><tr><td>member_id</td><td>The assigned consumer id or an empty string for [...]
+ error_code => INT16
+ generation_id => INT32
+ group_protocol => STRING
+ leader_id => STRING
+ member_id => STRING
+ members => member_id member_metadata
+ member_id => STRING
+ member_metadata => BYTES
+</code></pre><table class=data-table><tbody><tr><th>Field</th><th>Description</th></tr><tr><td>error_code</td><td></td></tr><tr><td>generation_id</td><td>The generation of the consumer group.</td></tr><tr><td>group_protocol</td><td>The group protocol selected by the coordinator</td></tr><tr><td>leader_id</td><td>The leader of the group</td></tr><tr><td>member_id</td><td>The consumer id assigned by the group coordinator.</td></tr><tr><td>members</td><td></td></tr><tr><td>member_id</td><td [...]
+ error_code => INT16
+ generation_id => INT32
+ group_protocol => STRING
+ leader_id => STRING
+ member_id => STRING
+ members => member_id member_metadata
+ member_id => STRING
+ member_metadata => BYTES
+</code></pre><table class=data-table><tbody><tr><th>Field</th><th>Description</th></tr><tr><td>error_code</td><td></td></tr><tr><td>generation_id</td><td>The generation of the consumer group.</td></tr><tr><td>group_protocol</td><td>The group protocol selected by the coordinator</td></tr><tr><td>leader_id</td><td>The leader of the group</td></tr><tr><td>member_id</td><td>The consumer id assigned by the group coordinator.</td></tr><tr><td>members</td><td></td></tr><tr><td>member_id</td><td [...]
+ throttle_time_ms => INT32
+ error_code => INT16
+ generation_id => INT32
+ group_protocol => STRING
+ leader_id => STRING
+ member_id => STRING
+ members => member_id member_metadata
+ member_id => STRING
+ member_metadata => BYTES
+</code></pre><table class=data-table><tbody><tr><th>Field</th><th>Description</th></tr><tr><td>throttle_time_ms</td><td>Duration in milliseconds for which the request was throttled due to quota violation. (Zero if the request did not violate any quota.)</td></tr><tr><td>error_code</td><td></td></tr><tr><td>generation_id</td><td>The generation of the consumer group.</td></tr><tr><td>group_protocol</td><td>The group protocol selected by the coordinator</td></tr><tr><td>leader_id</td><td>Th [...]
+ group_id => STRING
+ group_generation_id => INT32
+ member_id => STRING
+</code></pre><table class=data-table><tbody><tr><th>Field</th><th>Description</th></tr><tr><td>group_id</td><td>The group id.</td></tr><tr><td>group_generation_id</td><td>The generation of the group.</td></tr><tr><td>member_id</td><td>The member id assigned by the group coordinator.</td></tr></table></p><p><pre class=line-numbers><code class=language-java>Heartbeat Request (Version: 1) => group_id group_generation_id member_id
+ group_id => STRING
+ group_generation_id => INT32
+ member_id => STRING
+</code></pre><table class=data-table><tbody><tr><th>Field</th><th>Description</th></tr><tr><td>group_id</td><td>The group id.</td></tr><tr><td>group_generation_id</td><td>The generation of the group.</td></tr><tr><td>member_id</td><td>The member id assigned by the group coordinator.</td></tr></table></p><b>Responses:</b><br><p><pre class=line-numbers><code class=language-java>Heartbeat Response (Version: 0) => error_code
+ error_code => INT16
+</code></pre><table class=data-table><tbody><tr><th>Field</th><th>Description</th></tr><tr><td>error_code</td><td></td></tr></table></p><p><pre class=line-numbers><code class=language-java>Heartbeat Response (Version: 1) => throttle_time_ms error_code
+ throttle_time_ms => INT32
+ error_code => INT16
+</code></pre><table class=data-table><tbody><tr><th>Field</th><th>Description</th></tr><tr><td>throttle_time_ms</td><td>Duration in milliseconds for which the request was throttled due to quota violation. (Zero if the request did not violate any quota.)</td></tr><tr><td>error_code</td><td></td></tr></table></p><h5><a name=The_Messages_LeaveGroup>LeaveGroup API (Key: 13):</a></h5><b>Requests:</b><br><p><pre class=line-numbers><code class=language-java>LeaveGroup Request (Version: 0) => gr [...]
+ group_id => STRING
+ member_id => STRING
+</code></pre><table class=data-table><tbody><tr><th>Field</th><th>Description</th></tr><tr><td>group_id</td><td>The group id.</td></tr><tr><td>member_id</td><td>The member id assigned by the group coordinator.</td></tr></table></p><p><pre class=line-numbers><code class=language-java>LeaveGroup Request (Version: 1) => group_id member_id
+ group_id => STRING
+ member_id => STRING
+</code></pre><table class=data-table><tbody><tr><th>Field</th><th>Description</th></tr><tr><td>group_id</td><td>The group id.</td></tr><tr><td>member_id</td><td>The member id assigned by the group coordinator.</td></tr></table></p><b>Responses:</b><br><p><pre class=line-numbers><code class=language-java>LeaveGroup Response (Version: 0) => error_code
+ error_code => INT16
+</code></pre><table class=data-table><tbody><tr><th>Field</th><th>Description</th></tr><tr><td>error_code</td><td></td></tr></table></p><p><pre class=line-numbers><code class=language-java>LeaveGroup Response (Version: 1) => throttle_time_ms error_code
+ throttle_time_ms => INT32
+ error_code => INT16
+</code></pre><table class=data-table><tbody><tr><th>Field</th><th>Description</th></tr><tr><td>throttle_time_ms</td><td>Duration in milliseconds for which the request was throttled due to quota violation. (Zero if the request did not violate any quota.)</td></tr><tr><td>error_code</td><td></td></tr></table></p><h5><a name=The_Messages_SyncGroup>SyncGroup API (Key: 14):</a></h5><b>Requests:</b><br><p><pre class=line-numbers><code class=language-java>SyncGroup Request (Version: 0) => group [...]
+ group_id => STRING
+ generation_id => INT32
+ member_id => STRING
+ group_assignment => member_id member_assignment
+ member_id => STRING
+ member_assignment => BYTES
+</code></pre><table class=data-table><tbody><tr><th>Field</th><th>Description</th></tr><tr><td>group_id</td><td></td></tr><tr><td>generation_id</td><td></td></tr><tr><td>member_id</td><td></td></tr><tr><td>group_assignment</td><td></td></tr><tr><td>member_id</td><td></td></tr><tr><td>member_assignment</td><td></td></tr></table></p><p><pre class=line-numbers><code class=language-java>SyncGroup Request (Version: 1) => group_id generation_id member_id [group_assignment]
+ group_id => STRING
+ generation_id => INT32
+ member_id => STRING
+ group_assignment => member_id member_assignment
+ member_id => STRING
+ member_assignment => BYTES
+</code></pre><table class=data-table><tbody><tr><th>Field</th><th>Description</th></tr><tr><td>group_id</td><td></td></tr><tr><td>generation_id</td><td></td></tr><tr><td>member_id</td><td></td></tr><tr><td>group_assignment</td><td></td></tr><tr><td>member_id</td><td></td></tr><tr><td>member_assignment</td><td></td></tr></table></p><b>Responses:</b><br><p><pre class=line-numbers><code class=language-java>SyncGroup Response (Version: 0) => error_code member_assignment
+ error_code => INT16
+ member_assignment => BYTES
+</code></pre><table class=data-table><tbody><tr><th>Field</th><th>Description</th></tr><tr><td>error_code</td><td></td></tr><tr><td>member_assignment</td><td></td></tr></table></p><p><pre class=line-numbers><code class=language-java>SyncGroup Response (Version: 1) => throttle_time_ms error_code member_assignment
+ throttle_time_ms => INT32
+ error_code => INT16
+ member_assignment => BYTES
+</code></pre><table class=data-table><tbody><tr><th>Field</th><th>Description</th></tr><tr><td>throttle_time_ms</td><td>Duration in milliseconds for which the request was throttled due to quota violation. (Zero if the request did not violate any quota.)</td></tr><tr><td>error_code</td><td></td></tr><tr><td>member_assignment</td><td></td></tr></table></p><h5><a name=The_Messages_DescribeGroups>DescribeGroups API (Key: 15):</a></h5><b>Requests:</b><br><p><pre class=line-numbers><code class [...]
+ group_ids => STRING
+</code></pre><table class=data-table><tbody><tr><th>Field</th><th>Description</th></tr><tr><td>group_ids</td><td>List of groupIds to request metadata for (an empty groupId array will return empty group metadata).</td></tr></table></p><p><pre class=line-numbers><code class=language-java>DescribeGroups Request (Version: 1) => [group_ids]
+ group_ids => STRING
+</code></pre><table class=data-table><tbody><tr><th>Field</th><th>Description</th></tr><tr><td>group_ids</td><td>List of groupIds to request metadata for (an empty groupId array will return empty group metadata).</td></tr></table></p><b>Responses:</b><br><p><pre class=line-numbers><code class=language-java>DescribeGroups Response (Version: 0) => [groups]
+ groups => error_code group_id state protocol_type protocol [members]
+ error_code => INT16
+ group_id => STRING
+ state => STRING
+ protocol_type => STRING
+ protocol => STRING
+ members => member_id client_id client_host member_metadata member_assignment
+ member_id => STRING
+ client_id => STRING
+ client_host => STRING
+ member_metadata => BYTES
+ member_assignment => BYTES
+</code></pre><table class=data-table><tbody><tr><th>Field</th><th>Description</th></tr><tr><td>groups</td><td></td></tr><tr><td>error_code</td><td></td></tr><tr><td>group_id</td><td></td></tr><tr><td>state</td><td>The current state of the group (one of: Dead, Stable, AwaitingSync, PreparingRebalance, or empty if there is no active group)</td></tr><tr><td>protocol_type</td><td>The current group protocol type (will be empty if there is no active group)</td></tr><tr><td>protocol</td><td>The [...]
+ throttle_time_ms => INT32
+ groups => error_code group_id state protocol_type protocol [members]
+ error_code => INT16
+ group_id => STRING
+ state => STRING
+ protocol_type => STRING
+ protocol => STRING
+ members => member_id client_id client_host member_metadata member_assignment
+ member_id => STRING
+ client_id => STRING
+ client_host => STRING
+ member_metadata => BYTES
+ member_assignment => BYTES
+</code></pre><table class=data-table><tbody><tr><th>Field</th><th>Description</th></tr><tr><td>throttle_time_ms</td><td>Duration in milliseconds for which the request was throttled due to quota violation. (Zero if the request did not violate any quota.)</td></tr><tr><td>groups</td><td></td></tr><tr><td>error_code</td><td></td></tr><tr><td>group_id</td><td></td></tr><tr><td>state</td><td>The current state of the group (one of: Dead, Stable, AwaitingSync, PreparingRebalance, or empty if th [...]
+</code></pre><table class=data-table><tbody><tr><th>Field</th><th>Description</th></tr></table></p><p><pre class=line-numbers><code class=language-java>ListGroups Request (Version: 1) =>
+</code></pre><table class=data-table><tbody><tr><th>Field</th><th>Description</th></tr></table></p><b>Responses:</b><br><p><pre class=line-numbers><code class=language-java>ListGroups Response (Version: 0) => error_code [groups]
+ error_code => INT16
+ groups => group_id protocol_type
+ group_id => STRING
+ protocol_type => STRING
+</code></pre><table class=data-table><tbody><tr><th>Field</th><th>Description</th></tr><tr><td>error_code</td><td></td></tr><tr><td>groups</td><td></td></tr><tr><td>group_id</td><td></td></tr><tr><td>protocol_type</td><td></td></tr></table></p><p><pre class=line-numbers><code class=language-java>ListGroups Response (Version: 1) => throttle_time_ms error_code [groups]
+ throttle_time_ms => INT32
+ error_code => INT16
+ groups => group_id protocol_type
+ group_id => STRING
+ protocol_type => STRING
+</code></pre><table class=data-table><tbody><tr><th>Field</th><th>Description</th></tr><tr><td>throttle_time_ms</td><td>Duration in milliseconds for which the request was throttled due to quota violation. (Zero if the request did not violate any quota.)</td></tr><tr><td>error_code</td><td></td></tr><tr><td>groups</td><td></td></tr><tr><td>group_id</td><td></td></tr><tr><td>protocol_type</td><td></td></tr></table></p><h5><a name=The_Messages_SaslHandshake>SaslHandshake API (Key: 17):</a>< [...]
+ mechanism => STRING
+</code></pre><table class=data-table><tbody><tr><th>Field</th><th>Description</th></tr><tr><td>mechanism</td><td>SASL Mechanism chosen by the client.</td></tr></table></p><b>Responses:</b><br><p><pre class=line-numbers><code class=language-java>SaslHandshake Response (Version: 0) => error_code [enabled_mechanisms]
+ error_code => INT16
+ enabled_mechanisms => STRING
+</code></pre><table class=data-table><tbody><tr><th>Field</th><th>Description</th></tr><tr><td>error_code</td><td></td></tr><tr><td>enabled_mechanisms</td><td>Array of mechanisms enabled in the server.</td></tr></table></p><h5><a name=The_Messages_ApiVersions>ApiVersions API (Key: 18):</a></h5><b>Requests:</b><br><p><pre class=line-numbers><code class=language-java>ApiVersions Request (Version: 0) =>
+</code></pre><table class=data-table><tbody><tr><th>Field</th><th>Description</th></tr></table></p><p><pre class=line-numbers><code class=language-java>ApiVersions Request (Version: 1) =>
+</code></pre><table class=data-table><tbody><tr><th>Field</th><th>Description</th></tr></table></p><b>Responses:</b><br><p><pre class=line-numbers><code class=language-java>ApiVersions Response (Version: 0) => error_code [api_versions]
+ error_code => INT16
+ api_versions => api_key min_version max_version
+ api_key => INT16
+ min_version => INT16
+ max_version => INT16
+</code></pre><table class=data-table><tbody><tr><th>Field</th><th>Description</th></tr><tr><td>error_code</td><td>Error code.</td></tr><tr><td>api_versions</td><td>API versions supported by the broker.</td></tr><tr><td>api_key</td><td>API key.</td></tr><tr><td>min_version</td><td>Minimum supported version.</td></tr><tr><td>max_version</td><td>Maximum supported version.</td></tr></table></p><p><pre class=line-numbers><code class=language-java>ApiVersions Response (Version: 1) => error_cod [...]
+ error_code => INT16
+ api_versions => api_key min_version max_version
+ api_key => INT16
+ min_version => INT16
+ max_version => INT16
+ throttle_time_ms => INT32
+</code></pre><table class=data-table><tbody><tr><th>Field</th><th>Description</th></tr><tr><td>error_code</td><td>Error code.</td></tr><tr><td>api_versions</td><td>API versions supported by the broker.</td></tr><tr><td>api_key</td><td>API key.</td></tr><tr><td>min_version</td><td>Minimum supported version.</td></tr><tr><td>max_version</td><td>Maximum supported version.</td></tr><tr><td>throttle_time_ms</td><td>Duration in milliseconds for which the request was throttled due to quota viol [...]
+ create_topic_requests => topic num_partitions replication_factor [replica_assignment] [config_entries]
+ topic => STRING
+ num_partitions => INT32
+ replication_factor => INT16
+ replica_assignment => partition_id [replicas]
+ partition_id => INT32
+ replicas => INT32
+ config_entries => config_name config_value
+ config_name => STRING
+ config_value => NULLABLE_STRING
+ timeout => INT32
+</code></pre><table class=data-table><tbody><tr><th>Field</th><th>Description</th></tr><tr><td>create_topic_requests</td><td>An array of single topic creation requests. Can not have multiple entries for the same topic.</td></tr><tr><td>topic</td><td>Name for newly created topic.</td></tr><tr><td>num_partitions</td><td>Number of partitions to be created. -1 indicates unset.</td></tr><tr><td>replication_factor</td><td>Replication factor for the topic. -1 indicates unset.</td></tr><tr><td>r [...]
+ create_topic_requests => topic num_partitions replication_factor [replica_assignment] [config_entries]
+ topic => STRING
+ num_partitions => INT32
+ replication_factor => INT16
+ replica_assignment => partition_id [replicas]
+ partition_id => INT32
+ replicas => INT32
+ config_entries => config_name config_value
+ config_name => STRING
+ config_value => NULLABLE_STRING
+ timeout => INT32
+ validate_only => BOOLEAN
+</code></pre><table class=data-table><tbody><tr><th>Field</th><th>Description</th></tr><tr><td>create_topic_requests</td><td>An array of single topic creation requests. Can not have multiple entries for the same topic.</td></tr><tr><td>topic</td><td>Name for newly created topic.</td></tr><tr><td>num_partitions</td><td>Number of partitions to be created. -1 indicates unset.</td></tr><tr><td>replication_factor</td><td>Replication factor for the topic. -1 indicates unset.</td></tr><tr><td>r [...]
+ create_topic_requests => topic num_partitions replication_factor [replica_assignment] [config_entries]
+ topic => STRING
+ num_partitions => INT32
+ replication_factor => INT16
+ replica_assignment => partition_id [replicas]
+ partition_id => INT32
+ replicas => INT32
+ config_entries => config_name config_value
+ config_name => STRING
+ config_value => NULLABLE_STRING
+ timeout => INT32
+ validate_only => BOOLEAN
+</code></pre><table class=data-table><tbody><tr><th>Field</th><th>Description</th></tr><tr><td>create_topic_requests</td><td>An array of single topic creation requests. Can not have multiple entries for the same topic.</td></tr><tr><td>topic</td><td>Name for newly created topic.</td></tr><tr><td>num_partitions</td><td>Number of partitions to be created. -1 indicates unset.</td></tr><tr><td>replication_factor</td><td>Replication factor for the topic. -1 indicates unset.</td></tr><tr><td>r [...]
+ topic_errors => topic error_code
+ topic => STRING
+ error_code => INT16
+</code></pre><table class=data-table><tbody><tr><th>Field</th><th>Description</th></tr><tr><td>topic_errors</td><td>An array of per topic error codes.</td></tr><tr><td>topic</td><td></td></tr><tr><td>error_code</td><td></td></tr></table></p><p><pre class=line-numbers><code class=language-java>CreateTopics Response (Version: 1) => [topic_errors]
+ topic_errors => topic error_code error_message
+ topic => STRING
+ error_code => INT16
+ error_message => NULLABLE_STRING
+</code></pre><table class=data-table><tbody><tr><th>Field</th><th>Description</th></tr><tr><td>topic_errors</td><td>An array of per topic errors.</td></tr><tr><td>topic</td><td></td></tr><tr><td>error_code</td><td></td></tr><tr><td>error_message</td><td></td></tr></table></p><p><pre class=line-numbers><code class=language-java>CreateTopics Response (Version: 2) => throttle_time_ms [topic_errors]
+ throttle_time_ms => INT32
+ topic_errors => topic error_code error_message
+ topic => STRING
+ error_code => INT16
+ error_message => NULLABLE_STRING
+</code></pre><table class=data-table><tbody><tr><th>Field</th><th>Description</th></tr><tr><td>throttle_time_ms</td><td>Duration in milliseconds for which the request was throttled due to quota violation. (Zero if the request did not violate any quota.)</td></tr><tr><td>topic_errors</td><td>An array of per topic errors.</td></tr><tr><td>topic</td><td></td></tr><tr><td>error_code</td><td></td></tr><tr><td>error_message</td><td></td></tr></table></p><h5><a name=The_Messages_DeleteTopics>De [...]
+ topics => STRING
+ timeout => INT32
+</code></pre><table class=data-table><tbody><tr><th>Field</th><th>Description</th></tr><tr><td>topics</td><td>An array of topics to be deleted.</td></tr><tr><td>timeout</td><td>The time in ms to wait for a topic to be completely deleted on the controller node. Values <= 0 will trigger topic deletion and return immediately</td></tr></table></p><p><pre class=line-numbers><code class=language-java>DeleteTopics Request (Version: 1) => [topics] timeout
+ topics => STRING
+ timeout => INT32
+</code></pre><table class=data-table><tbody><tr><th>Field</th><th>Description</th></tr><tr><td>topics</td><td>An array of topics to be deleted.</td></tr><tr><td>timeout</td><td>The time in ms to wait for a topic to be completely deleted on the controller node. Values <= 0 will trigger topic deletion and return immediately</td></tr></table></p><b>Responses:</b><br><p><pre class=line-numbers><code class=language-java>DeleteTopics Response (Version: 0) => [topic_error_codes]
+ topic_error_codes => topic error_code
+ topic => STRING
+ error_code => INT16
+</code></pre><table class=data-table><tbody><tr><th>Field</th><th>Description</th></tr><tr><td>topic_error_codes</td><td>An array of per topic error codes.</td></tr><tr><td>topic</td><td></td></tr><tr><td>error_code</td><td></td></tr></table></p><p><pre class=line-numbers><code class=language-java>DeleteTopics Response (Version: 1) => throttle_time_ms [topic_error_codes]
+ throttle_time_ms => INT32
+ topic_error_codes => topic error_code
+ topic => STRING
+ error_code => INT16
+</code></pre><table class=data-table><tbody><tr><th>Field</th><th>Description</th></tr><tr><td>throttle_time_ms</td><td>Duration in milliseconds for which the request was throttled due to quota violation. (Zero if the request did not violate any quota.)</td></tr><tr><td>topic_error_codes</td><td>An array of per topic error codes.</td></tr><tr><td>topic</td><td></td></tr><tr><td>error_code</td><td></td></tr></table></p><h5><a name=The_Messages_DeleteRecords>DeleteRecords API (Key: 21):</a [...]
+ topics => topic [partitions]
+ topic => STRING
+ partitions => partition offset
+ partition => INT32
+ offset => INT64
+ timeout => INT32
+</code></pre><table class=data-table><tbody><tr><th>Field</th><th>Description</th></tr><tr><td>topics</td><td></td></tr><tr><td>topic</td><td>Topic name.</td></tr><tr><td>partitions</td><td></td></tr><tr><td>partition</td><td>Topic partition id.</td></tr><tr><td>offset</td><td>The offset before which the messages will be deleted.</td></tr><tr><td>timeout</td><td>The maximum time to await a response in ms.</td></tr></table></p><b>Responses:</b><br><p><pre class=line-numbers><code class=la [...]
+ throttle_time_ms => INT32
+ topics => topic [partitions]
+ topic => STRING
+ partitions => partition low_watermark error_code
+ partition => INT32
+ low_watermark => INT64
+ error_code => INT16
+</code></pre><table class=data-table><tbody><tr><th>Field</th><th>Description</th></tr><tr><td>throttle_time_ms</td><td>Duration in milliseconds for which the request was throttled due to quota violation. (Zero if the request did not violate any quota.)</td></tr><tr><td>topics</td><td></td></tr><tr><td>topic</td><td>Topic name.</td></tr><tr><td>partitions</td><td></td></tr><tr><td>partition</td><td>Topic partition id.</td></tr><tr><td>low_watermark</td><td>Smallest available offset of al [...]
+ transactional_id => NULLABLE_STRING
+ transaction_timeout_ms => INT32
+</code></pre><table class=data-table><tbody><tr><th>Field</th><th>Description</th></tr><tr><td>transactional_id</td><td>The transactional id whose producer id we want to retrieve or generate.</td></tr><tr><td>transaction_timeout_ms</td><td>The time in ms to wait for before aborting idle transactions sent by this producer.</td></tr></table></p><b>Responses:</b><br><p><pre class=line-numbers><code class=language-java>InitProducerId Response (Version: 0) => throttle_time_ms error_code produ [...]
+ throttle_time_ms => INT32
+ error_code => INT16
+ producer_id => INT64
+ producer_epoch => INT16
+</code></pre><table class=data-table><tbody><tr><th>Field</th><th>Description</th></tr><tr><td>throttle_time_ms</td><td>Duration in milliseconds for which the request was throttled due to quota violation. (Zero if the request did not violate any quota.)</td></tr><tr><td>error_code</td><td>An integer error code.</td></tr><tr><td>producer_id</td><td>The producer id for the input transactional id. If the input id was empty, then this is used only for ensuring idempotence of messages.</td></ [...]
+ topics => topic [partitions]
+ topic => STRING
+ partitions => partition_id leader_epoch
+ partition_id => INT32
+ leader_epoch => INT32
+</code></pre><table class=data-table><tbody><tr><th>Field</th><th>Description</th></tr><tr><td>topics</td><td>An array of topics to get epochs for</td></tr><tr><td>topic</td><td>The topic</td></tr><tr><td>partitions</td><td>The partition</td></tr><tr><td>partition_id</td><td>The partition_id</td></tr><tr><td>leader_epoch</td><td>The epoch</td></tr></table></p><b>Responses:</b><br><p><pre class=line-numbers><code class=language-java>OffsetForLeaderEpoch Response (Version: 0) => [topics]
+ topics => topic [partitions]
+ topic => STRING
+ partitions => error_code partition_id end_offset
+ error_code => INT16
+ partition_id => INT32
+ end_offset => INT64
+</code></pre><table class=data-table><tbody><tr><th>Field</th><th>Description</th></tr><tr><td>topics</td><td>An array of topics for which we have leader offsets for some requested Partition Leader Epoch</td></tr><tr><td>topic</td><td>The topic</td></tr><tr><td>partitions</td><td>The partition</td></tr><tr><td>error_code</td><td>The error code</td></tr><tr><td>partition_id</td><td>The partition id</td></tr><tr><td>end_offset</td><td>The end offset</td></tr></table></p><h5><a name=The_Mes [...]
+ transactional_id => STRING
+ producer_id => INT64
+ producer_epoch => INT16
+ topics => topic [partitions]
+ topic => STRING
+ partitions => INT32
+</code></pre><table class=data-table><tbody><tr><th>Field</th><th>Description</th></tr><tr><td>transactional_id</td><td>The transactional id corresponding to the transaction.</td></tr><tr><td>producer_id</td><td>Current producer id in use by the transactional id.</td></tr><tr><td>producer_epoch</td><td>Current epoch associated with the producer id.</td></tr><tr><td>topics</td><td>The partitions to add to the transaction.</td></tr><tr><td>topic</td><td></td></tr><tr><td>partitions</td><td [...]
+ throttle_time_ms => INT32
+ errors => topic [partition_errors]
+ topic => STRING
+ partition_errors => partition error_code
+ partition => INT32
+ error_code => INT16
+</code></pre><table class=data-table><tbody><tr><th>Field</th><th>Description</th></tr><tr><td>throttle_time_ms</td><td>Duration in milliseconds for which the request was throttled due to quota violation. (Zero if the request did not violate any quota.)</td></tr><tr><td>errors</td><td></td></tr><tr><td>topic</td><td></td></tr><tr><td>partition_errors</td><td></td></tr><tr><td>partition</td><td></td></tr><tr><td>error_code</td><td></td></tr></table></p><h5><a name=The_Messages_AddOffsetsT [...]
+ transactional_id => STRING
+ producer_id => INT64
+ producer_epoch => INT16
+ consumer_group_id => STRING
+</code></pre><table class=data-table><tbody><tr><th>Field</th><th>Description</th></tr><tr><td>transactional_id</td><td>The transactional id corresponding to the transaction.</td></tr><tr><td>producer_id</td><td>Current producer id in use by the transactional id.</td></tr><tr><td>producer_epoch</td><td>Current epoch associated with the producer id.</td></tr><tr><td>consumer_group_id</td><td>Consumer group id whose offsets should be included in the transaction.</td></tr></table></p><b>Res [...]
+ throttle_time_ms => INT32
+ error_code => INT16
+</code></pre><table class=data-table><tbody><tr><th>Field</th><th>Description</th></tr><tr><td>throttle_time_ms</td><td>Duration in milliseconds for which the request was throttled due to quota violation. (Zero if the request did not violate any quota.)</td></tr><tr><td>error_code</td><td>An integer error code.</td></tr></table></p><h5><a name=The_Messages_EndTxn>EndTxn API (Key: 26):</a></h5><b>Requests:</b><br><p><pre class=line-numbers><code class=language-java>EndTxn Request (Version [...]
+ transactional_id => STRING
+ producer_id => INT64
+ producer_epoch => INT16
+ transaction_result => BOOLEAN
+</code></pre><table class=data-table><tbody><tr><th>Field</th><th>Description</th></tr><tr><td>transactional_id</td><td>The transactional id corresponding to the transaction.</td></tr><tr><td>producer_id</td><td>Current producer id in use by the transactional id.</td></tr><tr><td>producer_epoch</td><td>Current epoch associated with the producer id.</td></tr><tr><td>transaction_result</td><td>The result of the transaction (0 = ABORT, 1 = COMMIT)</td></tr></table></p><b>Responses:</b><br>< [...]
+ throttle_time_ms => INT32
+ error_code => INT16
+</code></pre><table class=data-table><tbody><tr><th>Field</th><th>Description</th></tr><tr><td>throttle_time_ms</td><td>Duration in milliseconds for which the request was throttled due to quota violation. (Zero if the request did not violate any quota.)</td></tr><tr><td>error_code</td><td>An integer error code.</td></tr></table></p><h5><a name=The_Messages_WriteTxnMarkers>WriteTxnMarkers API (Key: 27):</a></h5><b>Requests:</b><br><p><pre class=line-numbers><code class=language-java>Write [...]
+ transaction_markers => producer_id producer_epoch transaction_result [topics] coordinator_epoch
+ producer_id => INT64
+ producer_epoch => INT16
+ transaction_result => BOOLEAN
+ topics => topic [partitions]
+ topic => STRING
+ partitions => INT32
+ coordinator_epoch => INT32
+</code></pre><table class=data-table><tbody><tr><th>Field</th><th>Description</th></tr><tr><td>transaction_markers</td><td>The transaction markers to be written.</td></tr><tr><td>producer_id</td><td>Current producer id in use by the transactional id.</td></tr><tr><td>producer_epoch</td><td>Current epoch associated with the producer id.</td></tr><tr><td>transaction_result</td><td>The result of the transaction to write to the partitions (false = ABORT, true = COMMIT).</td></tr><tr><td>topi [...]
+ transaction_markers => producer_id [topics]
+ producer_id => INT64
+ topics => topic [partitions]
+ topic => STRING
+ partitions => partition error_code
+ partition => INT32
+ error_code => INT16
+</code></pre><table class=data-table><tbody><tr><th>Field</th><th>Description</th></tr><tr><td>transaction_markers</td><td>Errors per partition from writing markers.</td></tr><tr><td>producer_id</td><td>Current producer id in use by the transactional id.</td></tr><tr><td>topics</td><td>Errors per partition from writing markers.</td></tr><tr><td>topic</td><td></td></tr><tr><td>partitions</td><td></td></tr><tr><td>partition</td><td></td></tr><tr><td>error_code</td><td></td></tr></table></p [...]
+ transactional_id => STRING
+ consumer_group_id => STRING
+ producer_id => INT64
+ producer_epoch => INT16
+ topics => topic [partitions]
+ topic => STRING
+ partitions => partition offset metadata
+ partition => INT32
+ offset => INT64
+ metadata => NULLABLE_STRING
+</code></pre><table class=data-table><tbody><tr><th>Field</th><th>Description</th></tr><tr><td>transactional_id</td><td>The transactional id corresponding to the transaction.</td></tr><tr><td>consumer_group_id</td><td>Id of the associated consumer group to commit offsets for.</td></tr><tr><td>producer_id</td><td>Current producer id in use by the transactional id.</td></tr><tr><td>producer_epoch</td><td>Current epoch associated with the producer id.</td></tr><tr><td>topics</td><td>The par [...]
+ throttle_time_ms => INT32
+ topics => topic [partitions]
+ topic => STRING
+ partitions => partition error_code
+ partition => INT32
+ error_code => INT16
+</code></pre><table class=data-table><tbody><tr><th>Field</th><th>Description</th></tr><tr><td>throttle_time_ms</td><td>Duration in milliseconds for which the request was throttled due to quota violation. (Zero if the request did not violate any quota.)</td></tr><tr><td>topics</td><td>Errors per partition from writing markers.</td></tr><tr><td>topic</td><td></td></tr><tr><td>partitions</td><td></td></tr><tr><td>partition</td><td></td></tr><tr><td>error_code</td><td></td></tr></table></p> [...]
+ resource_type => INT8
+ resource_name => NULLABLE_STRING
+ principal => NULLABLE_STRING
+ host => NULLABLE_STRING
+ operation => INT8
+ permission_type => INT8
+</code></pre><table class=data-table><tbody><tr><th>Field</th><th>Description</th></tr><tr><td>resource_type</td><td>The filter resource type.</td></tr><tr><td>resource_name</td><td>The filter resource name.</td></tr><tr><td>principal</td><td>The filter principal name.</td></tr><tr><td>host</td><td>The filter ip address.</td></tr><tr><td>operation</td><td>The filter operation type.</td></tr><tr><td>permission_type</td><td>The filter permission type.</td></tr></table></p><b>Responses:</b> [...]
+ throttle_time_ms => INT32
+ error_code => INT16
+ error_message => NULLABLE_STRING
+ resources => resource_type resource_name [acls]
+ resource_type => INT8
+ resource_name => STRING
+ acls => principal host operation permission_type
+ principal => STRING
+ host => STRING
+ operation => INT8
+ permission_type => INT8
+</code></pre><table class=data-table><tbody><tr><th>Field</th><th>Description</th></tr><tr><td>throttle_time_ms</td><td>Duration in milliseconds for which the request was throttled due to quota violation. (Zero if the request did not violate any quota.)</td></tr><tr><td>error_code</td><td>The error code.</td></tr><tr><td>error_message</td><td>The error message.</td></tr><tr><td>resources</td><td>The resources and their associated ACLs.</td></tr><tr><td>resource_type</td><td>The resource [...]
+ creations => resource_type resource_name principal host operation permission_type
+ resource_type => INT8
+ resource_name => STRING
+ principal => STRING
+ host => STRING
+ operation => INT8
+ permission_type => INT8
+</code></pre><table class=data-table><tbody><tr><th>Field</th><th>Description</th></tr><tr><td>creations</td><td></td></tr><tr><td>resource_type</td><td>The resource type.</td></tr><tr><td>resource_name</td><td>The resource name.</td></tr><tr><td>principal</td><td>The principal.</td></tr><tr><td>host</td><td>The ip address.</td></tr><tr><td>operation</td><td>The ACL operation</td></tr><tr><td>permission_type</td><td>The ACL permission type</td></tr></table></p><b>Responses:</b><br><p><pr [...]
+ throttle_time_ms => INT32
+ creation_responses => error_code error_message
+ error_code => INT16
+ error_message => NULLABLE_STRING
+</code></pre><table class=data-table><tbody><tr><th>Field</th><th>Description</th></tr><tr><td>throttle_time_ms</td><td>Duration in milliseconds for which the request was throttled due to quota violation. (Zero if the request did not violate any quota.)</td></tr><tr><td>creation_responses</td><td></td></tr><tr><td>error_code</td><td>The error code.</td></tr><tr><td>error_message</td><td>The error message.</td></tr></table></p><h5><a name=The_Messages_DeleteAcls>DeleteAcls API (Key: 31):< [...]
+ filters => resource_type resource_name principal host operation permission_type
+ resource_type => INT8
+ resource_name => NULLABLE_STRING
+ principal => NULLABLE_STRING
+ host => NULLABLE_STRING
+ operation => INT8
+ permission_type => INT8
+</code></pre><table class=data-table><tbody><tr><th>Field</th><th>Description</th></tr><tr><td>filters</td><td></td></tr><tr><td>resource_type</td><td>The resource type filter.</td></tr><tr><td>resource_name</td><td>The resource name filter.</td></tr><tr><td>principal</td><td>The principal filter.</td></tr><tr><td>host</td><td>The ip address filter.</td></tr><tr><td>operation</td><td>The ACL operation filter.</td></tr><tr><td>permission_type</td><td>The ACL permission type filter.</td></ [...]
+ throttle_time_ms => INT32
+ filter_responses => error_code error_message [matching_acls]
+ error_code => INT16
+ error_message => NULLABLE_STRING
+ matching_acls => error_code error_message resource_type resource_name principal host operation permission_type
+ error_code => INT16
+ error_message => NULLABLE_STRING
+ resource_type => INT8
+ resource_name => STRING
+ principal => STRING
+ host => STRING
+ operation => INT8
+ permission_type => INT8
+</code></pre><table class=data-table><tbody><tr><th>Field</th><th>Description</th></tr><tr><td>throttle_time_ms</td><td>Duration in milliseconds for which the request was throttled due to quota violation. (Zero if the request did not violate any quota.)</td></tr><tr><td>filter_responses</td><td></td></tr><tr><td>error_code</td><td>The error code.</td></tr><tr><td>error_message</td><td>The error message.</td></tr><tr><td>matching_acls</td><td>The matching ACLs</td></tr><tr><td>error_code< [...]
+ resources => resource_type resource_name [config_names]
+ resource_type => INT8
+ resource_name => STRING
+ config_names => STRING
+</code></pre><table class=data-table><tbody><tr><th>Field</th><th>Description</th></tr><tr><td>resources</td><td>An array of config resources to be returned.</td></tr><tr><td>resource_type</td><td></td></tr><tr><td>resource_name</td><td></td></tr><tr><td>config_names</td><td></td></tr></table></p><b>Responses:</b><br><p><pre class=line-numbers><code class=language-java>DescribeConfigs Response (Version: 0) => throttle_time_ms [resources]
+ throttle_time_ms => INT32
+ resources => error_code error_message resource_type resource_name [config_entries]
+ error_code => INT16
+ error_message => NULLABLE_STRING
+ resource_type => INT8
+ resource_name => STRING
+ config_entries => config_name config_value read_only is_default is_sensitive
+ config_name => STRING
+ config_value => NULLABLE_STRING
+ read_only => BOOLEAN
+ is_default => BOOLEAN
+ is_sensitive => BOOLEAN
+</code></pre><table class=data-table><tbody><tr><th>Field</th><th>Description</th></tr><tr><td>throttle_time_ms</td><td>Duration in milliseconds for which the request was throttled due to quota violation. (Zero if the request did not violate any quota.)</td></tr><tr><td>resources</td><td></td></tr><tr><td>error_code</td><td></td></tr><tr><td>error_message</td><td></td></tr><tr><td>resource_type</td><td></td></tr><tr><td>resource_name</td><td></td></tr><tr><td>config_entries</td><td></td> [...]
+ resources => resource_type resource_name [config_entries]
+ resource_type => INT8
+ resource_name => STRING
+ config_entries => config_name config_value
+ config_name => STRING
+ config_value => NULLABLE_STRING
+ validate_only => BOOLEAN
+</code></pre><table class=data-table><tbody><tr><th>Field</th><th>Description</th></tr><tr><td>resources</td><td>An array of resources to update with the provided configs.</td></tr><tr><td>resource_type</td><td></td></tr><tr><td>resource_name</td><td></td></tr><tr><td>config_entries</td><td></td></tr><tr><td>config_name</td><td>Configuration name</td></tr><tr><td>config_value</td><td>Configuration value</td></tr><tr><td>validate_only</td><td></td></tr></table></p><b>Responses:</b><br><p> [...]
+ throttle_time_ms => INT32
+ resources => error_code error_message resource_type resource_name
+ error_code => INT16
+ error_message => NULLABLE_STRING
+ resource_type => INT8
+ resource_name => STRING
+</code></pre><table class=data-table><tbody><tr><th>Field</th><th>Description</th></tr><tr><td>throttle_time_ms</td><td>Duration in milliseconds for which the request was throttled due to quota violation. (Zero if the request did not violate any quota.)</td></tr><tr><td>resources</td><td></td></tr><tr><td>error_code</td><td></td></tr><tr><td>error_message</td><td></td></tr><tr><td>resource_type</td><td></td></tr><tr><td>resource_name</td><td></td></tr></table></p><h3 id=some-common-philo [...]
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+For up-to-date documentation, see the
+<a href=/41/ target=_blank>latest version</a>.</p></div><nav aria-label=breadcrumb class=td-breadcrumbs><ol class=breadcrumb><li class=breadcrumb-item><a href=/0100/>AK 0.10.0.X</a></li><li class=breadcrumb-item><a href=/0100/design/>Design</a></li><li class="breadcrumb-item active" aria-current=page>Design</li></ol></nav><div class=td-content><h1>Design</h1><header class=article-meta><div class="taxonomy taxonomy-terms-article taxo-tags"><h5 class=taxonomy-title>Tags:</h5><ul class=taxo [...]
+We refer to nodes satisfying these two conditions as being “in sync” to avoid the vagueness of “alive” or “failed”. The leader keeps track of the set of “in sync” nodes. If a follower dies, gets stuck, or falls behind, the leader will remove it from the list of in sync replicas. The determination of stuck and lagging replicas is controlled by the replica.lag.time.max.ms configuration.</li></ol><p>In distributed systems terminology we only a [...]
+ .
+ .
+ .
+ 123 => bill@gatesfoundation.org
+ .
+ .
+ .
+ 123 => bill@gmail.com
+</code></pre><p>Log compaction gives us a more granular retention mechanism so that we are guaranteed to retain at least the last update for each primary key (e.g. <code>bill@gmail.com</code>). By doing this we guarantee that the log contains a full snapshot of the final value for every key not just keys that changed recently. This means downstream consumers can restore their own state off this topic without us having to retain a complete log of all changes.</p><p>Let’s start by lo [...]
+In each of these cases one needs primarily to handle the real-time feed of changes, but occasionally, when a machine crashes or data needs to be re-loaded or re-processed, one needs to do a full load. Log compaction allows feeding both of these use cases off the same backing topic. This style of usage of a log is described in more detail in <a href=http://engineering.linkedin.com/distributed-systems/log-what-every-software-engineer-should-know-about-real-time-datas-unifying>this blog pos [...]
+</code></pre><p>This will start the pool of cleaner threads. To enable log cleaning on a particular topic you can add the log-specific property</p><pre><code> log.cleanup.policy=compact
+</code></pre><p>This can be done either at topic creation time or using the alter topic command.</p><p>Further cleaner configurations are described <a href=/documentation.html#brokerconfigs>here</a>.</p><h3 id=log-compaction-limitations>Log Compaction Limitations<a class=td-heading-self-link href=#log-compaction-limitations aria-label="Heading self-link"></a></h3><ol><li>You cannot configure yet how much log is retained without compaction (the “head” of the log). Currently al [...]
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+It would have to have high-throughput to support high volume event streams such as real-time log aggregation.
+It would need to deal gracefully with large data backlogs to be able to support periodic data loads from offline systems.</description></item><item><title>Protocol</title><link>https://kafka.staged.apache.org/0100/design/protocol/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://kafka.staged.apache.org/0100/design/protocol/</guid><description>Kafka protocol guide This document covers the wire protocol implemented in Kafka. It is meant to give a readable guide to the [...]
+Preliminaries Network Partitioning and bootstrapping Partitioning Strategies Batching Versioning and Compatibility The Protocol Protocol Primitive Types Notes on reading the request format grammars Common Request and Response Structure Message Sets Constants Error Codes Api Keys The Messages Some Common Philosophical Questions Preliminaries Network Kafka uses a binary protocol over TCP.</description></item></channel></rss>
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+<meta name=description content="Kafka protocol guide This document covers the wire protocol implemented in Kafka. It is meant to give a readable guide to the protocol that covers the available requests, their binary format, and the proper way to make use of them to implement a client. This document assumes you understand the basic design and terminology described here
+Preliminaries Network Partitioning and bootstrapping Partitioning Strategies Batching Versioning and Compatibility The Protocol Protocol Primitive Types Notes on reading the request format grammars Common Request and Response Structure Message Sets Constants Error Codes Api Keys The Messages Some Common Philosophical Questions Preliminaries Network Kafka uses a binary protocol over TCP."><meta property="og:title" content="Protocol"><meta property="og:description" content="Kafka protocol [...]
+Preliminaries Network Partitioning and bootstrapping Partitioning Strategies Batching Versioning and Compatibility The Protocol Protocol Primitive Types Notes on reading the request format grammars Common Request and Response Structure Message Sets Constants Error Codes Api Keys The Messages Some Common Philosophical Questions Preliminaries Network Kafka uses a binary protocol over TCP."><meta property="og:type" content="article"><meta property="og:url" content="https://kafka.staged.apac [...]
+Preliminaries Network Partitioning and bootstrapping Partitioning Strategies Batching Versioning and Compatibility The Protocol Protocol Primitive Types Notes on reading the request format grammars Common Request and Response Structure Message Sets Constants Error Codes Api Keys The Messages Some Common Philosophical Questions Preliminaries Network Kafka uses a binary protocol over TCP."><meta itemprop=dateModified content="2025-11-03T03:17:43-06:00"><meta itemprop=wordCount content="132 [...]
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+<label for=m-0100configurationconsumer-configs-check><a href=/0100/configuration/consumer-configs/ class="align-left ps-0 td-sidebar-link td-sidebar-link__page" id=m-0100configurationconsumer-configs><span>Consumer Configs</span></a></label></li><li class="td-sidebar-nav__section-title td-sidebar-nav__section without-child" id=m-0100configurationkafka-connect-configs-li><input type=checkbox id=m-0100configurationkafka-connect-configs-check>
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+<label for=m-0100design-check><a href=/0100/design/ class="align-left ps-0 td-sidebar-link td-sidebar-link__section" id=m-0100design><span>Design</span></a></label><ul class="ul-2 foldable"><li class="td-sidebar-nav__section-title td-sidebar-nav__section without-child" id=m-0100designdesign-li><input type=checkbox id=m-0100designdesign-check>
+<label for=m-0100designdesign-check><a href=/0100/design/design/ class="align-left ps-0 td-sidebar-link td-sidebar-link__page" id=m-0100designdesign><span>Design</span></a></label></li><li class="td-sidebar-nav__section-title td-sidebar-nav__section without-child active-path" id=m-0100designprotocol-li><input type=checkbox id=m-0100designprotocol-check checked>
+<label for=m-0100designprotocol-check><a href=/0100/design/protocol/ class="align-left ps-0 active td-sidebar-link td-sidebar-link__page" id=m-0100designprotocol><span class=td-sidebar-nav-active-item>Protocol</span></a></label></li></ul></li><li class="td-sidebar-nav__section-title td-sidebar-nav__section with-child" id=m-0100implementation-li><input type=checkbox id=m-0100implementation-check>
+<label for=m-0100implementation-check><a href=/0100/implementation/ class="align-left ps-0 td-sidebar-link td-sidebar-link__section" id=m-0100implementation><span>Implementation</span></a></label><ul class="ul-2 foldable"><li class="td-sidebar-nav__section-title td-sidebar-nav__section without-child" id=m-0100implementationapi-design-li><input type=checkbox id=m-0100implementationapi-design-check>
+<label for=m-0100implementationapi-design-check><a href=/0100/implementation/api-design/ class="align-left ps-0 td-sidebar-link td-sidebar-link__page" id=m-0100implementationapi-design><span>API Design</span></a></label></li><li class="td-sidebar-nav__section-title td-sidebar-nav__section without-child" id=m-0100implementationnetwork-layer-li><input type=checkbox id=m-0100implementationnetwork-layer-check>
+<label for=m-0100implementationnetwork-layer-check><a href=/0100/implementation/network-layer/ class="align-left ps-0 td-sidebar-link td-sidebar-link__page" id=m-0100implementationnetwork-layer><span>Network Layer</span></a></label></li><li class="td-sidebar-nav__section-title td-sidebar-nav__section without-child" id=m-0100implementationmessages-li><input type=checkbox id=m-0100implementationmessages-check>
+<label for=m-0100implementationmessages-check><a href=/0100/implementation/messages/ class="align-left ps-0 td-sidebar-link td-sidebar-link__page" id=m-0100implementationmessages><span>Messages</span></a></label></li><li class="td-sidebar-nav__section-title td-sidebar-nav__section without-child" id=m-0100implementationmessage-format-li><input type=checkbox id=m-0100implementationmessage-format-check>
+<label for=m-0100implementationmessage-format-check><a href=/0100/implementation/message-format/ class="align-left ps-0 td-sidebar-link td-sidebar-link__page" id=m-0100implementationmessage-format><span>Message Format</span></a></label></li><li class="td-sidebar-nav__section-title td-sidebar-nav__section without-child" id=m-0100implementationlog-li><input type=checkbox id=m-0100implementationlog-check>
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+<label for=m-0100implementationdistribution-check><a href=/0100/implementation/distribution/ class="align-left ps-0 td-sidebar-link td-sidebar-link__page" id=m-0100implementationdistribution><span>Distribution</span></a></label></li></ul></li><li class="td-sidebar-nav__section-title td-sidebar-nav__section with-child" id=m-0100operations-li><input type=checkbox id=m-0100operations-check>
+<label for=m-0100operations-check><a href=/0100/operations/ class="align-left ps-0 td-sidebar-link td-sidebar-link__section" id=m-0100operations><span>Operations</span></a></label><ul class="ul-2 foldable"><li class="td-sidebar-nav__section-title td-sidebar-nav__section without-child" id=m-0100operationsbasic-kafka-operations-li><input type=checkbox id=m-0100operationsbasic-kafka-operations-check>
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+<label for=m-0100operationskafka-configuration-check><a href=/0100/operations/kafka-configuration/ class="align-left ps-0 td-sidebar-link td-sidebar-link__page" id=m-0100operationskafka-configuration><span>Kafka Configuration</span></a></label></li><li class="td-sidebar-nav__section-title td-sidebar-nav__section without-child" id=m-0100operationsjava-version-li><input type=checkbox id=m-0100operationsjava-version-check>
+<label for=m-0100operationsjava-version-check><a href=/0100/operations/java-version/ class="align-left ps-0 td-sidebar-link td-sidebar-link__page" id=m-0100operationsjava-version><span>Java Version</span></a></label></li><li class="td-sidebar-nav__section-title td-sidebar-nav__section without-child" id=m-0100operationshardware-and-os-li><input type=checkbox id=m-0100operationshardware-and-os-check>
+<label for=m-0100operationshardware-and-os-check><a href=/0100/operations/hardware-and-os/ class="align-left ps-0 td-sidebar-link td-sidebar-link__page" id=m-0100operationshardware-and-os><span>Hardware and OS</span></a></label></li><li class="td-sidebar-nav__section-title td-sidebar-nav__section without-child" id=m-0100operationsmonitoring-li><input type=checkbox id=m-0100operationsmonitoring-check>
+<label for=m-0100operationsmonitoring-check><a href=/0100/operations/monitoring/ class="align-left ps-0 td-sidebar-link td-sidebar-link__page" id=m-0100operationsmonitoring><span>Monitoring</span></a></label></li><li class="td-sidebar-nav__section-title td-sidebar-nav__section without-child" id=m-0100operationszookeeper-li><input type=checkbox id=m-0100operationszookeeper-check>
+<label for=m-0100operationszookeeper-check><a href=/0100/operations/zookeeper/ class="align-left ps-0 td-sidebar-link td-sidebar-link__page" id=m-0100operationszookeeper><span>ZooKeeper</span></a></label></li></ul></li><li class="td-sidebar-nav__section-title td-sidebar-nav__section with-child" id=m-0100security-li><input type=checkbox id=m-0100security-check>
+<label for=m-0100security-check><a href=/0100/security/ class="align-left ps-0 td-sidebar-link td-sidebar-link__section" id=m-0100security><span>Security</span></a></label><ul class="ul-2 foldable"><li class="td-sidebar-nav__section-title td-sidebar-nav__section without-child" id=m-0100securitysecurity-overview-li><input type=checkbox id=m-0100securitysecurity-overview-check>
+<label for=m-0100securitysecurity-overview-check><a href=/0100/security/security-overview/ class="align-left ps-0 td-sidebar-link td-sidebar-link__page" id=m-0100securitysecurity-overview><span>Security Overview</span></a></label></li><li class="td-sidebar-nav__section-title td-sidebar-nav__section without-child" id=m-0100securityencryption-and-authentication-using-ssl-li><input type=checkbox id=m-0100securityencryption-and-authentication-using-ssl-check>
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+<label for=m-0100securityauthentication-using-sasl-check><a href=/0100/security/authentication-using-sasl/ class="align-left ps-0 td-sidebar-link td-sidebar-link__page" id=m-0100securityauthentication-using-sasl><span>Authentication using SASL</span></a></label></li><li class="td-sidebar-nav__section-title td-sidebar-nav__section without-child" id=m-0100securityauthorization-and-acls-li><input type=checkbox id=m-0100securityauthorization-and-acls-check>
+<label for=m-0100securityauthorization-and-acls-check><a href=/0100/security/authorization-and-acls/ class="align-left ps-0 td-sidebar-link td-sidebar-link__page" id=m-0100securityauthorization-and-acls><span>Authorization and ACLs</span></a></label></li><li class="td-sidebar-nav__section-title td-sidebar-nav__section without-child" id=m-0100securityincorporating-security-features-in-a-running-cluster-li><input type=checkbox id=m-0100securityincorporating-security-features-in-a-running-c [...]
+<label for=m-0100securityincorporating-security-features-in-a-running-cluster-check><a href=/0100/security/incorporating-security-features-in-a-running-cluster/ class="align-left ps-0 td-sidebar-link td-sidebar-link__page" id=m-0100securityincorporating-security-features-in-a-running-cluster><span>Incorporating Security Features in a Running Cluster</span></a></label></li><li class="td-sidebar-nav__section-title td-sidebar-nav__section without-child" id=m-0100securityzookeeper-authentica [...]
+<label for=m-0100securityzookeeper-authentication-check><a href=/0100/security/zookeeper-authentication/ class="align-left ps-0 td-sidebar-link td-sidebar-link__page" id=m-0100securityzookeeper-authentication><span>ZooKeeper Authentication</span></a></label></li></ul></li><li class="td-sidebar-nav__section-title td-sidebar-nav__section with-child" id=m-0100kafka-connect-li><input type=checkbox id=m-0100kafka-connect-check>
+<label for=m-0100kafka-connect-check><a href=/0100/kafka-connect/ class="align-left ps-0 td-sidebar-link td-sidebar-link__section" id=m-0100kafka-connect><span>Kafka Connect</span></a></label><ul class="ul-2 foldable"><li class="td-sidebar-nav__section-title td-sidebar-nav__section without-child" id=m-0100kafka-connectoverview-li><input type=checkbox id=m-0100kafka-connectoverview-check>
+<label for=m-0100kafka-connectoverview-check><a href=/0100/kafka-connect/overview/ class="align-left ps-0 td-sidebar-link td-sidebar-link__page" id=m-0100kafka-connectoverview><span>Overview</span></a></label></li><li class="td-sidebar-nav__section-title td-sidebar-nav__section without-child" id=m-0100kafka-connectuser-guide-li><input type=checkbox id=m-0100kafka-connectuser-guide-check>
+<label for=m-0100kafka-connectuser-guide-check><a href=/0100/kafka-connect/user-guide/ class="align-left ps-0 td-sidebar-link td-sidebar-link__page" id=m-0100kafka-connectuser-guide><span>User Guide</span></a></label></li><li class="td-sidebar-nav__section-title td-sidebar-nav__section without-child" id=m-0100kafka-connectconnector-development-guide-li><input type=checkbox id=m-0100kafka-connectconnector-development-guide-check>
+<label for=m-0100kafka-connectconnector-development-guide-check><a href=/0100/kafka-connect/connector-development-guide/ class="align-left ps-0 td-sidebar-link td-sidebar-link__page" id=m-0100kafka-connectconnector-development-guide><span>Connector Development Guide</span></a></label></li></ul></li><li class="td-sidebar-nav__section-title td-sidebar-nav__section with-child" id=m-0100streams-li><input type=checkbox id=m-0100streams-check>
+<label for=m-0100streams-check><a href=/0100/streams/ class="align-left ps-0 td-sidebar-link td-sidebar-link__section" id=m-0100streams><span>Kafka Streams</span></a></label><ul class="ul-2 foldable"><li class="td-sidebar-nav__section-title td-sidebar-nav__section without-child" id=m-0100streamsdeveloper-guide-li><input type=checkbox id=m-0100streamsdeveloper-guide-check>
+<label for=m-0100streamsdeveloper-guide-check><a href=/0100/streams/developer-guide/ class="align-left ps-0 td-sidebar-link td-sidebar-link__section" id=m-0100streamsdeveloper-guide><span>Streams Developer Guide</span></a></label></li></ul></li></ul></li></ul></nav></div></div></div></aside><aside class="d-none d-xl-block col-xl-2 td-sidebar-toc d-print-none"><div class=td-sticky-container><div class=td-sticky-header><div class="td-page-meta ms-2 pb-1 pt-2 mb-0"><a href=https://github.co [...]
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+<a href="https://github.com/apache/kafka-site//new/markdown/content/en/0100/design?filename=change-me.md&value=---%0Atitle%3A+%22Long+Page+Title%22%0AlinkTitle%3A+%22Short+Nav+Title%22%0Aweight%3A+100%0Adescription%3A+%3E-%0A+++++Page+description+for+heading+and+indexes.%0A---%0A%0A%23%23+Heading%0A%0AEdit+this+template+to+create+your+new+page.%0A%0A%2A+Give+it+a+good+name%2C+ending+in+%60.md%60+-+e.g.+%60getting-started.md%60%0A%2A+Edit+the+%22front+matter%22+section+at+the+top+of+t [...]
+<a href="https://github.com/apache/kafka-site//issues/new?title=Protocol" class="td-page-meta--issue td-page-meta__issue" target=_blank rel=noopener><i class="fa-solid fa-list-check fa-fw"></i> Create documentation issue</a>
+<a id=print href=/0100/design/_print/><i class="fa-solid fa-print fa-fw"></i> Print entire section</a></div></div><div class=td-sticky-content><div class=td-toc-content><div class=td-toc><nav id=TableOfContents><ul><li><a href=#kafka-protocol-guide>Kafka protocol guide</a><ul><li><ul><li><a href=#preliminaries>Preliminaries</a></li><li><a href=#the-protocol>The Protocol</a></li><li><a href=#constants>Constants</a></li><li><a href=#the-messages>The Messages</a></li><li><a href=#some-commo [...]
+For up-to-date documentation, see the
+<a href=/41/ target=_blank>latest version</a>.</p></div><nav aria-label=breadcrumb class=td-breadcrumbs><ol class=breadcrumb><li class=breadcrumb-item><a href=/0100/>AK 0.10.0.X</a></li><li class=breadcrumb-item><a href=/0100/design/>Design</a></li><li class="breadcrumb-item active" aria-current=page>Protocol</li></ol></nav><div class=td-content><h1>Protocol</h1><header class=article-meta><div class="taxonomy taxonomy-terms-article taxo-tags"><h5 class=taxonomy-title>Tags:</h5><ul class= [...]
+ Size => int32
+</code></pre><table><thead><tr><th>Field</th><th>Description</th></tr></thead><tbody><tr><td>message_size</td><td>The message_size field gives the size of the subsequent request or response message in bytes. The client can read requests by first reading this 4 byte size as an integer N, and then reading and parsing the subsequent N bytes of the request.</td></tr></tbody></table><h4 id=message-sets>Message Sets<a class=td-heading-self-link href=#message-sets aria-label="Heading self-link" [...]
+ api_key => INT16
+ api_version => INT16
+ correlation_id => INT32
+ client_id => NULLABLE_STRING
+</code></pre><table class=data-table><tbody><tr><th>Field</th><th>Description</th></tr><tr><td>api_key</td><td>The id of the request type.</td></tr><tr><td>api_version</td><td>The version of the API.</td></tr><tr><td>correlation_id</td><td>A user-supplied integer value that will be passed back with the response</td></tr><tr><td>client_id</td><td>A user specified identifier for the client making the request.</td></tr></table><pre class=line-numbers><code class=language-java>Response Heade [...]
+ correlation_id => INT32
+</code></pre><table class=data-table><tbody><tr><th>Field</th><th>Description</th></tr><tr><td>correlation_id</td><td>The user-supplied value passed in with the request</td></tr></table><h5><a name=The_Messages_Produce>Produce API (Key: 0):</a></h5><b>Requests:</b><br><p><pre class=line-numbers><code class=language-java>Produce Request (Version: 0) => acks timeout [topic_data]
+ acks => INT16
+ timeout => INT32
+ topic_data => topic [data]
+ topic => STRING
+ data => partition record_set
+ partition => INT32
+ record_set => RECORDS
+</code></pre><table class=data-table><tbody><tr><th>Field</th><th>Description</th></tr><tr><td>acks</td><td>The number of acknowledgments the producer requires the leader to have received before considering a request complete. Allowed values: 0 for no acknowledgments, 1 for only the leader and -1 for the full ISR.</td></tr><tr><td>timeout</td><td>The time to await a response in ms.</td></tr><tr><td>topic_data</td><td></td></tr><tr><td>topic</td><td></td></tr><tr><td>data</td><td></td></t [...]
+ acks => INT16
+ timeout => INT32
+ topic_data => topic [data]
+ topic => STRING
+ data => partition record_set
+ partition => INT32
+ record_set => RECORDS
+</code></pre><table class=data-table><tbody><tr><th>Field</th><th>Description</th></tr><tr><td>acks</td><td>The number of acknowledgments the producer requires the leader to have received before considering a request complete. Allowed values: 0 for no acknowledgments, 1 for only the leader and -1 for the full ISR.</td></tr><tr><td>timeout</td><td>The time to await a response in ms.</td></tr><tr><td>topic_data</td><td></td></tr><tr><td>topic</td><td></td></tr><tr><td>data</td><td></td></t [...]
+ acks => INT16
+ timeout => INT32
+ topic_data => topic [data]
+ topic => STRING
+ data => partition record_set
+ partition => INT32
+ record_set => RECORDS
+</code></pre><table class=data-table><tbody><tr><th>Field</th><th>Description</th></tr><tr><td>acks</td><td>The number of acknowledgments the producer requires the leader to have received before considering a request complete. Allowed values: 0 for no acknowledgments, 1 for only the leader and -1 for the full ISR.</td></tr><tr><td>timeout</td><td>The time to await a response in ms.</td></tr><tr><td>topic_data</td><td></td></tr><tr><td>topic</td><td></td></tr><tr><td>data</td><td></td></t [...]
+ transactional_id => NULLABLE_STRING
+ acks => INT16
+ timeout => INT32
+ topic_data => topic [data]
+ topic => STRING
+ data => partition record_set
+ partition => INT32
+ record_set => RECORDS
+</code></pre><table class=data-table><tbody><tr><th>Field</th><th>Description</th></tr><tr><td>transactional_id</td><td>The transactional ID of the producer. This is used to authorize transaction produce requests. This can be null for non-transactional producers.</td></tr><tr><td>acks</td><td>The number of acknowledgments the producer requires the leader to have received before considering a request complete. Allowed values: 0 for no acknowledgments, 1 for only the leader and -1 for the [...]
+ responses => topic [partition_responses]
+ topic => STRING
+ partition_responses => partition error_code base_offset
+ partition => INT32
+ error_code => INT16
+ base_offset => INT64
+</code></pre><table class=data-table><tbody><tr><th>Field</th><th>Description</th></tr><tr><td>responses</td><td></td></tr><tr><td>topic</td><td></td></tr><tr><td>partition_responses</td><td></td></tr><tr><td>partition</td><td></td></tr><tr><td>error_code</td><td></td></tr><tr><td>base_offset</td><td></td></tr></table></p><p><pre class=line-numbers><code class=language-java>Produce Response (Version: 1) => [responses] throttle_time_ms
+ responses => topic [partition_responses]
+ topic => STRING
+ partition_responses => partition error_code base_offset
+ partition => INT32
+ error_code => INT16
+ base_offset => INT64
+ throttle_time_ms => INT32
+</code></pre><table class=data-table><tbody><tr><th>Field</th><th>Description</th></tr><tr><td>responses</td><td></td></tr><tr><td>topic</td><td></td></tr><tr><td>partition_responses</td><td></td></tr><tr><td>partition</td><td></td></tr><tr><td>error_code</td><td></td></tr><tr><td>base_offset</td><td></td></tr><tr><td>throttle_time_ms</td><td>Duration in milliseconds for which the request was throttled due to quota violation. (Zero if the request did not violate any quota.)</td></tr></ta [...]
+ responses => topic [partition_responses]
+ topic => STRING
+ partition_responses => partition error_code base_offset log_append_time
+ partition => INT32
+ error_code => INT16
+ base_offset => INT64
+ log_append_time => INT64
+ throttle_time_ms => INT32
+</code></pre><table class=data-table><tbody><tr><th>Field</th><th>Description</th></tr><tr><td>responses</td><td></td></tr><tr><td>topic</td><td></td></tr><tr><td>partition_responses</td><td></td></tr><tr><td>partition</td><td></td></tr><tr><td>error_code</td><td></td></tr><tr><td>base_offset</td><td></td></tr><tr><td>log_append_time</td><td>The timestamp returned by broker after appending the messages. If CreateTime is used for the topic, the timestamp will be -1. If LogAppendTime is us [...]
+ responses => topic [partition_responses]
+ topic => STRING
+ partition_responses => partition error_code base_offset log_append_time
+ partition => INT32
+ error_code => INT16
+ base_offset => INT64
+ log_append_time => INT64
+ throttle_time_ms => INT32
+</code></pre><table class=data-table><tbody><tr><th>Field</th><th>Description</th></tr><tr><td>responses</td><td></td></tr><tr><td>topic</td><td></td></tr><tr><td>partition_responses</td><td></td></tr><tr><td>partition</td><td></td></tr><tr><td>error_code</td><td></td></tr><tr><td>base_offset</td><td></td></tr><tr><td>log_append_time</td><td>The timestamp returned by broker after appending the messages. If CreateTime is used for the topic, the timestamp will be -1. If LogAppendTime is us [...]
+ replica_id => INT32
+ max_wait_time => INT32
+ min_bytes => INT32
+ topics => topic [partitions]
+ topic => STRING
+ partitions => partition fetch_offset max_bytes
+ partition => INT32
+ fetch_offset => INT64
+ max_bytes => INT32
+</code></pre><table class=data-table><tbody><tr><th>Field</th><th>Description</th></tr><tr><td>replica_id</td><td>Broker id of the follower. For normal consumers, use -1.</td></tr><tr><td>max_wait_time</td><td>Maximum time in ms to wait for the response.</td></tr><tr><td>min_bytes</td><td>Minimum bytes to accumulate in the response.</td></tr><tr><td>topics</td><td>Topics to fetch.</td></tr><tr><td>topic</td><td>Topic to fetch.</td></tr><tr><td>partitions</td><td>Partitions to fetch.</td> [...]
+ replica_id => INT32
+ max_wait_time => INT32
+ min_bytes => INT32
+ topics => topic [partitions]
+ topic => STRING
+ partitions => partition fetch_offset max_bytes
+ partition => INT32
+ fetch_offset => INT64
+ max_bytes => INT32
+</code></pre><table class=data-table><tbody><tr><th>Field</th><th>Description</th></tr><tr><td>replica_id</td><td>Broker id of the follower. For normal consumers, use -1.</td></tr><tr><td>max_wait_time</td><td>Maximum time in ms to wait for the response.</td></tr><tr><td>min_bytes</td><td>Minimum bytes to accumulate in the response.</td></tr><tr><td>topics</td><td>Topics to fetch.</td></tr><tr><td>topic</td><td>Topic to fetch.</td></tr><tr><td>partitions</td><td>Partitions to fetch.</td> [...]
+ replica_id => INT32
+ max_wait_time => INT32
+ min_bytes => INT32
+ topics => topic [partitions]
+ topic => STRING
+ partitions => partition fetch_offset max_bytes
+ partition => INT32
+ fetch_offset => INT64
+ max_bytes => INT32
+</code></pre><table class=data-table><tbody><tr><th>Field</th><th>Description</th></tr><tr><td>replica_id</td><td>Broker id of the follower. For normal consumers, use -1.</td></tr><tr><td>max_wait_time</td><td>Maximum time in ms to wait for the response.</td></tr><tr><td>min_bytes</td><td>Minimum bytes to accumulate in the response.</td></tr><tr><td>topics</td><td>Topics to fetch.</td></tr><tr><td>topic</td><td>Topic to fetch.</td></tr><tr><td>partitions</td><td>Partitions to fetch.</td> [...]
+ replica_id => INT32
+ max_wait_time => INT32
+ min_bytes => INT32
+ max_bytes => INT32
+ topics => topic [partitions]
+ topic => STRING
+ partitions => partition fetch_offset max_bytes
+ partition => INT32
+ fetch_offset => INT64
+ max_bytes => INT32
+</code></pre><table class=data-table><tbody><tr><th>Field</th><th>Description</th></tr><tr><td>replica_id</td><td>Broker id of the follower. For normal consumers, use -1.</td></tr><tr><td>max_wait_time</td><td>Maximum time in ms to wait for the response.</td></tr><tr><td>min_bytes</td><td>Minimum bytes to accumulate in the response.</td></tr><tr><td>max_bytes</td><td>Maximum bytes to accumulate in the response. Note that this is not an absolute maximum, if the first message in the first [...]
+ replica_id => INT32
+ max_wait_time => INT32
+ min_bytes => INT32
+ max_bytes => INT32
+ isolation_level => INT8
+ topics => topic [partitions]
+ topic => STRING
+ partitions => partition fetch_offset max_bytes
+ partition => INT32
+ fetch_offset => INT64
+ max_bytes => INT32
+</code></pre><table class=data-table><tbody><tr><th>Field</th><th>Description</th></tr><tr><td>replica_id</td><td>Broker id of the follower. For normal consumers, use -1.</td></tr><tr><td>max_wait_time</td><td>Maximum time in ms to wait for the response.</td></tr><tr><td>min_bytes</td><td>Minimum bytes to accumulate in the response.</td></tr><tr><td>max_bytes</td><td>Maximum bytes to accumulate in the response. Note that this is not an absolute maximum, if the first message in the first [...]
+ replica_id => INT32
+ max_wait_time => INT32
+ min_bytes => INT32
+ max_bytes => INT32
+ isolation_level => INT8
+ topics => topic [partitions]
+ topic => STRING
+ partitions => partition fetch_offset log_start_offset max_bytes
+ partition => INT32
+ fetch_offset => INT64
+ log_start_offset => INT64
+ max_bytes => INT32
+</code></pre><table class=data-table><tbody><tr><th>Field</th><th>Description</th></tr><tr><td>replica_id</td><td>Broker id of the follower. For normal consumers, use -1.</td></tr><tr><td>max_wait_time</td><td>Maximum time in ms to wait for the response.</td></tr><tr><td>min_bytes</td><td>Minimum bytes to accumulate in the response.</td></tr><tr><td>max_bytes</td><td>Maximum bytes to accumulate in the response. Note that this is not an absolute maximum, if the first message in the first [...]
+ responses => topic [partition_responses]
+ topic => STRING
+ partition_responses => partition_header record_set
+ partition_header => partition error_code high_watermark
+ partition => INT32
+ error_code => INT16
+ high_watermark => INT64
+ record_set => RECORDS
+</code></pre><table class=data-table><tbody><tr><th>Field</th><th>Description</th></tr><tr><td>responses</td><td></td></tr><tr><td>topic</td><td></td></tr><tr><td>partition_responses</td><td></td></tr><tr><td>partition_header</td><td></td></tr><tr><td>partition</td><td>Topic partition id.</td></tr><tr><td>error_code</td><td></td></tr><tr><td>high_watermark</td><td>Last committed offset.</td></tr><tr><td>record_set</td><td></td></tr></table></p><p><pre class=line-numbers><code class=langu [...]
+ throttle_time_ms => INT32
+ responses => topic [partition_responses]
+ topic => STRING
+ partition_responses => partition_header record_set
+ partition_header => partition error_code high_watermark
+ partition => INT32
+ error_code => INT16
+ high_watermark => INT64
+ record_set => RECORDS
+</code></pre><table class=data-table><tbody><tr><th>Field</th><th>Description</th></tr><tr><td>throttle_time_ms</td><td>Duration in milliseconds for which the request was throttled due to quota violation. (Zero if the request did not violate any quota.)</td></tr><tr><td>responses</td><td></td></tr><tr><td>topic</td><td></td></tr><tr><td>partition_responses</td><td></td></tr><tr><td>partition_header</td><td></td></tr><tr><td>partition</td><td>Topic partition id.</td></tr><tr><td>error_cod [...]
+ throttle_time_ms => INT32
+ responses => topic [partition_responses]
+ topic => STRING
+ partition_responses => partition_header record_set
+ partition_header => partition error_code high_watermark
+ partition => INT32
+ error_code => INT16
+ high_watermark => INT64
+ record_set => RECORDS
+</code></pre><table class=data-table><tbody><tr><th>Field</th><th>Description</th></tr><tr><td>throttle_time_ms</td><td>Duration in milliseconds for which the request was throttled due to quota violation. (Zero if the request did not violate any quota.)</td></tr><tr><td>responses</td><td></td></tr><tr><td>topic</td><td></td></tr><tr><td>partition_responses</td><td></td></tr><tr><td>partition_header</td><td></td></tr><tr><td>partition</td><td>Topic partition id.</td></tr><tr><td>error_cod [...]
+ throttle_time_ms => INT32
+ responses => topic [partition_responses]
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