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Posted to commits@storm.apache.org by et...@apache.org on 2021/10/11 20:31:02 UTC
[storm-site] 01/02: Add documentation for 2.2.1 release
This is an automated email from the ASF dual-hosted git repository.
ethanli pushed a commit to branch asf-site
in repository https://gitbox.apache.org/repos/asf/storm-site.git
commit afdb16963bf1271548c54d6e1e99ae3aac43b626
Author: Ethan Li <et...@gmail.com>
AuthorDate: Mon Oct 11 15:00:37 2021 -0500
Add documentation for 2.2.1 release
---
_posts/2021-10-11-storm221-released.md | 27 +
downloads.html | 34 +-
releases/2.2.1/Acking-framework-implementation.md | 39 +
releases/2.2.1/Classpath-handling.md | 29 +
releases/2.2.1/Clojure-DSL.md | 266 +
releases/2.2.1/ClusterMetrics.md | 261 +
releases/2.2.1/Command-line-client.md | 358 +
releases/2.2.1/Common-patterns.md | 84 +
releases/2.2.1/Concepts.md | 120 +
releases/2.2.1/Configuration.md | 41 +
releases/2.2.1/Contributing-to-Storm.md | 33 +
releases/2.2.1/Creating-a-new-Storm-project.md | 25 +
releases/2.2.1/DSLs-and-multilang-adapters.md | 11 +
releases/2.2.1/Daemon-Fault-Tolerance.md | 30 +
.../Defining-a-non-jvm-language-dsl-for-storm.md | 38 +
releases/2.2.1/Distributed-RPC.md | 216 +
releases/2.2.1/Eventlogging.md | 125 +
releases/2.2.1/FAQ.md | 127 +
releases/2.2.1/Fault-tolerance.md | 28 +
releases/2.2.1/Generic-resources.md | 39 +
releases/2.2.1/Guaranteeing-message-processing.md | 181 +
releases/2.2.1/Hooks.md | 13 +
releases/2.2.1/IConfigLoader.md | 51 +
releases/2.2.1/Implementation-docs.md | 14 +
releases/2.2.1/Installing-native-dependencies.md | 38 +
releases/2.2.1/Joins.md | 139 +
releases/2.2.1/Kestrel-and-Storm.md | 202 +
releases/2.2.1/Lifecycle-of-a-topology.md | 82 +
releases/2.2.1/Local-mode.md | 86 +
releases/2.2.1/Logs.md | 30 +
releases/2.2.1/Maven.md | 22 +
releases/2.2.1/Message-passing-implementation.md | 30 +
releases/2.2.1/Metrics.md | 329 +
releases/2.2.1/Multilang-protocol.md | 337 +
releases/2.2.1/NUMA.md | 97 +
releases/2.2.1/Pacemaker.md | 112 +
releases/2.2.1/Performance.md | 179 +
releases/2.2.1/Project-ideas.md | 6 +
releases/2.2.1/Rationale.md | 33 +
.../2.2.1/Resource_Aware_Scheduler_overview.md | 512 +
.../Running-topologies-on-a-production-cluster.md | 77 +
releases/2.2.1/SECURITY.md | 578 +
releases/2.2.1/STORM-UI-REST-API.md | 1598 +
releases/2.2.1/Serialization-(prior-to-0.6.0).md | 50 +
releases/2.2.1/Serialization.md | 68 +
releases/2.2.1/Serializers.md | 4 +
releases/2.2.1/Setting-up-a-Storm-cluster.md | 135 +
.../2.2.1/Setting-up-a-Storm-project-in-Eclipse.md | 1 +
.../2.2.1/Setting-up-development-environment.md | 33 +
releases/2.2.1/Spout-implementations.md | 10 +
releases/2.2.1/State-checkpointing.md | 289 +
releases/2.2.1/Storm-Scheduler.md | 27 +
...language-protocol-(versions-0.7.0-and-below).md | 122 +
releases/2.2.1/Stream-API.md | 491 +
releases/2.2.1/Structure-of-the-codebase.md | 129 +
releases/2.2.1/Support-for-non-java-languages.md | 9 +
releases/2.2.1/Transactional-topologies.md | 361 +
releases/2.2.1/Trident-API-Overview.md | 642 +
releases/2.2.1/Trident-RAS-API.md | 56 +
releases/2.2.1/Trident-spouts.md | 44 +
releases/2.2.1/Trident-state.md | 331 +
releases/2.2.1/Trident-tutorial.md | 256 +
releases/2.2.1/Troubleshooting.md | 114 +
releases/2.2.1/Tutorial.md | 293 +
...standing-the-parallelism-of-a-Storm-topology.md | 123 +
.../2.2.1/Using-non-JVM-languages-with-Storm.md | 53 +
releases/2.2.1/Windowing.md | 376 +
releases/2.2.1/cgroups_in_storm.md | 155 +
releases/2.2.1/distcache-blobstore.md | 753 +
releases/2.2.1/dynamic-log-level-settings.md | 45 +
releases/2.2.1/dynamic-worker-profiling.md | 37 +
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releases/2.2.1/flux.md | 854 +
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releases/2.2.1/images/search-a-topology.png | Bin 0 -> 671031 bytes
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releases/2.2.1/images/spout-vs-state.png | Bin 0 -> 24804 bytes
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releases/2.2.1/images/spout.svg | 833 +
releases/2.2.1/images/storm-cluster.png | Bin 0 -> 34604 bytes
releases/2.2.1/images/storm-flow.png | Bin 0 -> 59688 bytes
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releases/2.2.1/images/storm.svg | 1326 +
releases/2.2.1/images/storm_header.png | Bin 0 -> 17291 bytes
releases/2.2.1/images/storm_logo_tagline_color.png | Bin 0 -> 33568 bytes
releases/2.2.1/images/storm_ui.png | Bin 0 -> 1054600 bytes
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releases/2.2.1/images/top_bg.gif | Bin 0 -> 113 bytes
releases/2.2.1/images/topology-tasks.png | Bin 0 -> 45960 bytes
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releases/2.2.1/images/topology.svg | 1044 +
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releases/2.2.1/images/topology_dark.svg | 1101 +
releases/2.2.1/images/transactional-batches.png | Bin 0 -> 21797 bytes
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releases/2.2.1/images/transactional-design-2.png | Bin 0 -> 13352 bytes
.../2.2.1/images/transactional-spout-structure.png | Bin 0 -> 25067 bytes
releases/2.2.1/images/trident-to-storm1.png | Bin 0 -> 67173 bytes
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releases/2.2.1/index.md | 127 +
releases/2.2.1/javadocs/allclasses-frame.html | 2869 +
releases/2.2.1/javadocs/allclasses-noframe.html | 2869 +
releases/2.2.1/javadocs/classref.txt | 568 +
releases/2.2.1/javadocs/constant-values.html | 13722 ++++
releases/2.2.1/javadocs/deprecated-list.html | 450 +
releases/2.2.1/javadocs/help-doc.html | 234 +
releases/2.2.1/javadocs/highlight-LICENSE.txt | 24 +
releases/2.2.1/javadocs/highlight.css | 135 +
releases/2.2.1/javadocs/highlight.pack.js | 1 +
releases/2.2.1/javadocs/index-all.html | 68635 +++++++++++++++++++
releases/2.2.1/javadocs/index.html | 76 +
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.../2.2.1/javadocs/org/apache/storm/Config.html | 6275 ++
.../2.2.1/javadocs/org/apache/storm/Constants.html | 861 +
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.../apache/storm/LocalCluster.LocalTopology.html | 341 +
.../javadocs/org/apache/storm/LocalCluster.html | 2268 +
.../2.2.1/javadocs/org/apache/storm/LocalDRPC.html | 470 +
.../2.2.1/javadocs/org/apache/storm/LogWriter.html | 367 +
.../org/apache/storm/ProcessSimulator.html | 366 +
.../javadocs/org/apache/storm/ServerConstants.html | 350 +
.../storm/StormSubmitter.ProgressListener.html | 319 +
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.../apache/storm/StormTimer.StormTimerTask.html | 384 +
.../javadocs/org/apache/storm/StormTimer.html | 510 +
.../org/apache/storm/Testing.CapturedTopology.html | 303 +
.../org/apache/storm/Testing.Condition.html | 231 +
.../2.2.1/javadocs/org/apache/storm/Testing.html | 1131 +
.../org/apache/storm/Thrift.BoltDetails.html | 325 +
.../org/apache/storm/Thrift.SpoutDetails.html | 310 +
.../2.2.1/javadocs/org/apache/storm/Thrift.html | 746 +
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.../org/apache/storm/generated/ExecutorStats.html | 937 +
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.../apache/storm/generated/ExecutorSummary.html | 1019 +
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.../org/apache/storm/generated/GetInfoOptions.html | 667 +
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.../org/apache/storm/generated/GlobalStreamId.html | 741 +
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.../org/apache/storm/generated/Grouping.html | 1072 +
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.../storm/generated/HBAuthorizationException.html | 693 +
.../generated/HBExecutionException._Fields.html | 422 +
.../storm/generated/HBExecutionException.html | 697 +
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.../org/apache/storm/generated/HBMessage.html | 817 +
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.../org/apache/storm/generated/HBMessageData.html | 968 +
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.../org/apache/storm/generated/HBNodes.html | 710 +
.../apache/storm/generated/HBPulse._Fields.html | 434 +
.../org/apache/storm/generated/HBPulse.html | 767 +
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.../org/apache/storm/generated/HBRecords.html | 710 +
.../storm/generated/HBServerMessageType.html | 592 +
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.../storm/generated/IllegalStateException.html | 697 +
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.../storm/generated/InvalidTopologyException.html | 697 +
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.../org/apache/storm/generated/JavaObject.html | 780 +
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.../org/apache/storm/generated/JavaObjectArg.html | 968 +
.../KeyAlreadyExistsException._Fields.html | 422 +
.../storm/generated/KeyAlreadyExistsException.html | 697 +
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.../storm/generated/KeyNotFoundException.html | 697 +
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.../org/apache/storm/generated/KillOptions.html | 659 +
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.../apache/storm/generated/LSApprovedWorkers.html | 699 +
.../generated/LSSupervisorAssignments._Fields.html | 422 +
.../storm/generated/LSSupervisorAssignments.html | 699 +
.../storm/generated/LSSupervisorId._Fields.html | 422 +
.../org/apache/storm/generated/LSSupervisorId.html | 671 +
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.../org/apache/storm/generated/LSTopoHistory.html | 959 +
.../storm/generated/LSTopoHistoryList._Fields.html | 422 +
.../apache/storm/generated/LSTopoHistoryList.html | 710 +
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.../apache/storm/generated/LSWorkerHeartbeat.html | 920 +
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.../apache/storm/generated/ListBlobsResult.html | 780 +
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.../apache/storm/generated/LocalAssignment.html | 988 +
.../storm/generated/LocalStateData._Fields.html | 422 +
.../org/apache/storm/generated/LocalStateData.html | 699 +
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.../org/apache/storm/generated/LogConfig.html | 687 +
.../apache/storm/generated/LogLevel._Fields.html | 474 +
.../org/apache/storm/generated/LogLevel.html | 951 +
.../org/apache/storm/generated/LogLevelAction.html | 400 +
.../generated/Nimbus.AsyncClient.Factory.html | 291 +
.../Nimbus.AsyncClient.activate_call.html | 366 +
.../Nimbus.AsyncClient.beginBlobDownload_call.html | 366 +
.../Nimbus.AsyncClient.beginCreateBlob_call.html | 368 +
.../Nimbus.AsyncClient.beginFileUpload_call.html | 362 +
.../Nimbus.AsyncClient.beginUpdateBlob_call.html | 366 +
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.../Nimbus.AsyncClient.deactivate_call.html | 366 +
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.../Nimbus.AsyncClient.deleteBlob_call.html | 368 +
.../Nimbus.AsyncClient.downloadBlobChunk_call.html | 364 +
.../Nimbus.AsyncClient.downloadChunk_call.html | 364 +
.../Nimbus.AsyncClient.finishBlobUpload_call.html | 364 +
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.../Nimbus.AsyncClient.getClusterInfo_call.html | 362 +
...mbus.AsyncClient.getComponentPageInfo_call.html | 372 +
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.../Nimbus.AsyncClient.getLeader_call.html | 362 +
.../Nimbus.AsyncClient.getLogConfig_call.html | 362 +
.../Nimbus.AsyncClient.getNimbusConf_call.html | 362 +
...AsyncClient.getOwnerResourceSummaries_call.html | 364 +
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.../Nimbus.AsyncClient.getTopologyConf_call.html | 366 +
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...cClient.getTopologyInfoByNameWithOpts_call.html | 368 +
...bus.AsyncClient.getTopologyInfoByName_call.html | 366 +
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.../Nimbus.AsyncClient.getTopologyInfo_call.html | 366 +
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...mbus.AsyncClient.getTopologySummaries_call.html | 362 +
....AsyncClient.getTopologySummaryByName_call.html | 366 +
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.../Nimbus.AsyncClient.getUserTopology_call.html | 366 +
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.../Nimbus.AsyncClient.killTopology_call.html | 366 +
.../Nimbus.AsyncClient.listBlobs_call.html | 362 +
...mbus.AsyncClient.processWorkerMetrics_call.html | 362 +
.../Nimbus.AsyncClient.rebalance_call.html | 370 +
...cClient.sendSupervisorWorkerHeartbeat_call.html | 366 +
...Client.sendSupervisorWorkerHeartbeats_call.html | 364 +
.../Nimbus.AsyncClient.setBlobMeta_call.html | 368 +
.../Nimbus.AsyncClient.setLogConfig_call.html | 364 +
.../Nimbus.AsyncClient.setWorkerProfiler_call.html | 364 +
...us.AsyncClient.submitTopologyWithOpts_call.html | 376 +
.../Nimbus.AsyncClient.submitTopology_call.html | 374 +
...bus.AsyncClient.updateBlobReplication_call.html | 368 +
.../Nimbus.AsyncClient.uploadBlobChunk_call.html | 366 +
.../Nimbus.AsyncClient.uploadChunk_call.html | 366 +
...mbus.AsyncClient.uploadNewCredentials_call.html | 370 +
.../apache/storm/generated/Nimbus.AsyncIface.html | 1273 +
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.../Nimbus.AsyncProcessor.beginBlobDownload.html | 358 +
.../Nimbus.AsyncProcessor.beginCreateBlob.html | 358 +
.../Nimbus.AsyncProcessor.beginFileUpload.html | 358 +
.../Nimbus.AsyncProcessor.beginUpdateBlob.html | 358 +
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...mbus.AsyncProcessor.createStateInZookeeper.html | 358 +
.../Nimbus.AsyncProcessor.deactivate.html | 358 +
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.../Nimbus.AsyncProcessor.deleteBlob.html | 358 +
.../Nimbus.AsyncProcessor.downloadBlobChunk.html | 358 +
.../Nimbus.AsyncProcessor.downloadChunk.html | 358 +
.../Nimbus.AsyncProcessor.finishBlobUpload.html | 358 +
.../Nimbus.AsyncProcessor.finishFileUpload.html | 358 +
.../Nimbus.AsyncProcessor.getBlobMeta.html | 358 +
.../Nimbus.AsyncProcessor.getBlobReplication.html | 358 +
.../Nimbus.AsyncProcessor.getClusterInfo.html | 358 +
...Nimbus.AsyncProcessor.getComponentPageInfo.html | 358 +
...rocessor.getComponentPendingProfileActions.html | 358 +
.../generated/Nimbus.AsyncProcessor.getLeader.html | 358 +
.../Nimbus.AsyncProcessor.getLogConfig.html | 358 +
.../Nimbus.AsyncProcessor.getNimbusConf.html | 358 +
...s.AsyncProcessor.getOwnerResourceSummaries.html | 358 +
...us.AsyncProcessor.getSupervisorAssignments.html | 358 +
...imbus.AsyncProcessor.getSupervisorPageInfo.html | 358 +
.../Nimbus.AsyncProcessor.getTopology.html | 358 +
.../Nimbus.AsyncProcessor.getTopologyConf.html | 358 +
.../Nimbus.AsyncProcessor.getTopologyHistory.html | 358 +
.../Nimbus.AsyncProcessor.getTopologyInfo.html | 358 +
...imbus.AsyncProcessor.getTopologyInfoByName.html | 358 +
...yncProcessor.getTopologyInfoByNameWithOpts.html | 358 +
...bus.AsyncProcessor.getTopologyInfoWithOpts.html | 358 +
.../Nimbus.AsyncProcessor.getTopologyPageInfo.html | 358 +
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.../Nimbus.AsyncProcessor.getTopologySummary.html | 358 +
...us.AsyncProcessor.getTopologySummaryByName.html | 358 +
.../Nimbus.AsyncProcessor.getUserTopology.html | 358 +
.../storm/generated/Nimbus.AsyncProcessor.html | 513 +
.../Nimbus.AsyncProcessor.isRemoteBlobExists.html | 358 +
...imbus.AsyncProcessor.isTopologyNameAllowed.html | 358 +
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...Nimbus.AsyncProcessor.killTopologyWithOpts.html | 358 +
.../generated/Nimbus.AsyncProcessor.listBlobs.html | 358 +
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.../generated/Nimbus.AsyncProcessor.rebalance.html | 358 +
...yncProcessor.sendSupervisorWorkerHeartbeat.html | 358 +
...ncProcessor.sendSupervisorWorkerHeartbeats.html | 358 +
.../Nimbus.AsyncProcessor.setBlobMeta.html | 358 +
.../Nimbus.AsyncProcessor.setLogConfig.html | 358 +
.../Nimbus.AsyncProcessor.setWorkerProfiler.html | 358 +
.../Nimbus.AsyncProcessor.submitTopology.html | 358 +
...mbus.AsyncProcessor.submitTopologyWithOpts.html | 358 +
...imbus.AsyncProcessor.updateBlobReplication.html | 358 +
.../Nimbus.AsyncProcessor.uploadBlobChunk.html | 358 +
.../Nimbus.AsyncProcessor.uploadChunk.html | 358 +
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.../org/apache/storm/generated/Nimbus.Client.html | 3576 +
.../org/apache/storm/generated/Nimbus.Iface.html | 1367 +
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.../Nimbus.Processor.beginBlobDownload.html | 354 +
.../Nimbus.Processor.beginCreateBlob.html | 354 +
.../Nimbus.Processor.beginFileUpload.html | 354 +
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.../Nimbus.Processor.createStateInZookeeper.html | 354 +
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.../Nimbus.Processor.finishBlobUpload.html | 354 +
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.../Nimbus.Processor.getBlobReplication.html | 354 +
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...Nimbus.Processor.getOwnerResourceSummaries.html | 354 +
.../Nimbus.Processor.getSupervisorAssignments.html | 354 +
.../Nimbus.Processor.getSupervisorPageInfo.html | 354 +
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.../Nimbus.Processor.getTopologyConf.html | 354 +
.../Nimbus.Processor.getTopologyHistory.html | 354 +
.../Nimbus.Processor.getTopologyInfo.html | 354 +
.../Nimbus.Processor.getTopologyInfoByName.html | 354 +
...us.Processor.getTopologyInfoByNameWithOpts.html | 354 +
.../Nimbus.Processor.getTopologyInfoWithOpts.html | 354 +
.../Nimbus.Processor.getTopologyPageInfo.html | 354 +
.../Nimbus.Processor.getTopologySummaries.html | 354 +
.../Nimbus.Processor.getTopologySummary.html | 354 +
.../Nimbus.Processor.getTopologySummaryByName.html | 354 +
.../Nimbus.Processor.getUserTopology.html | 354 +
.../apache/storm/generated/Nimbus.Processor.html | 506 +
.../Nimbus.Processor.isRemoteBlobExists.html | 354 +
.../Nimbus.Processor.isTopologyNameAllowed.html | 354 +
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.../Nimbus.Processor.killTopologyWithOpts.html | 354 +
.../generated/Nimbus.Processor.listBlobs.html | 354 +
.../Nimbus.Processor.processWorkerMetrics.html | 354 +
.../generated/Nimbus.Processor.rebalance.html | 354 +
...us.Processor.sendSupervisorWorkerHeartbeat.html | 354 +
...s.Processor.sendSupervisorWorkerHeartbeats.html | 354 +
.../generated/Nimbus.Processor.setBlobMeta.html | 354 +
.../generated/Nimbus.Processor.setLogConfig.html | 354 +
.../Nimbus.Processor.setWorkerProfiler.html | 354 +
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.../Nimbus.Processor.submitTopologyWithOpts.html | 354 +
.../Nimbus.Processor.updateBlobReplication.html | 354 +
.../Nimbus.Processor.uploadBlobChunk.html | 354 +
.../generated/Nimbus.Processor.uploadChunk.html | 354 +
.../Nimbus.Processor.uploadNewCredentials.html | 354 +
.../generated/Nimbus.activate_args._Fields.html | 422 +
.../storm/generated/Nimbus.activate_args.html | 674 +
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.../storm/generated/Nimbus.activate_result.html | 744 +
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.../generated/Nimbus.beginBlobDownload_args.html | 674 +
.../Nimbus.beginBlobDownload_result._Fields.html | 446 +
.../generated/Nimbus.beginBlobDownload_result.html | 814 +
.../Nimbus.beginCreateBlob_args._Fields.html | 434 +
.../generated/Nimbus.beginCreateBlob_args.html | 744 +
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.../generated/Nimbus.beginCreateBlob_result.html | 814 +
.../Nimbus.beginFileUpload_args._Fields.html | 388 +
.../generated/Nimbus.beginFileUpload_args.html | 594 +
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.../generated/Nimbus.beginUpdateBlob_args.html | 674 +
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.../generated/Nimbus.beginUpdateBlob_result.html | 814 +
.../Nimbus.cancelBlobUpload_args._Fields.html | 422 +
.../generated/Nimbus.cancelBlobUpload_args.html | 674 +
.../Nimbus.cancelBlobUpload_result._Fields.html | 422 +
.../generated/Nimbus.cancelBlobUpload_result.html | 674 +
...Nimbus.createStateInZookeeper_args._Fields.html | 422 +
.../Nimbus.createStateInZookeeper_args.html | 674 +
...mbus.createStateInZookeeper_result._Fields.html | 388 +
.../Nimbus.createStateInZookeeper_result.html | 594 +
.../generated/Nimbus.deactivate_args._Fields.html | 422 +
.../storm/generated/Nimbus.deactivate_args.html | 674 +
.../Nimbus.deactivate_result._Fields.html | 434 +
.../storm/generated/Nimbus.deactivate_result.html | 744 +
.../storm/generated/Nimbus.debug_args._Fields.html | 458 +
.../apache/storm/generated/Nimbus.debug_args.html | 884 +
.../generated/Nimbus.debug_result._Fields.html | 434 +
.../storm/generated/Nimbus.debug_result.html | 744 +
.../generated/Nimbus.deleteBlob_args._Fields.html | 422 +
.../storm/generated/Nimbus.deleteBlob_args.html | 674 +
.../Nimbus.deleteBlob_result._Fields.html | 446 +
.../storm/generated/Nimbus.deleteBlob_result.html | 814 +
.../Nimbus.downloadBlobChunk_args._Fields.html | 422 +
.../generated/Nimbus.downloadBlobChunk_args.html | 674 +
.../Nimbus.downloadBlobChunk_result._Fields.html | 434 +
.../generated/Nimbus.downloadBlobChunk_result.html | 770 +
.../Nimbus.downloadChunk_args._Fields.html | 422 +
.../storm/generated/Nimbus.downloadChunk_args.html | 674 +
.../Nimbus.downloadChunk_result._Fields.html | 434 +
.../generated/Nimbus.downloadChunk_result.html | 770 +
.../Nimbus.finishBlobUpload_args._Fields.html | 422 +
.../generated/Nimbus.finishBlobUpload_args.html | 674 +
.../Nimbus.finishBlobUpload_result._Fields.html | 422 +
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.../Nimbus.finishFileUpload_args._Fields.html | 422 +
.../generated/Nimbus.finishFileUpload_args.html | 674 +
.../Nimbus.finishFileUpload_result._Fields.html | 422 +
.../generated/Nimbus.finishFileUpload_result.html | 674 +
.../generated/Nimbus.getBlobMeta_args._Fields.html | 422 +
.../storm/generated/Nimbus.getBlobMeta_args.html | 674 +
.../Nimbus.getBlobMeta_result._Fields.html | 446 +
.../storm/generated/Nimbus.getBlobMeta_result.html | 814 +
.../Nimbus.getBlobReplication_args._Fields.html | 422 +
.../generated/Nimbus.getBlobReplication_args.html | 674 +
.../Nimbus.getBlobReplication_result._Fields.html | 446 +
.../Nimbus.getBlobReplication_result.html | 814 +
.../Nimbus.getClusterInfo_args._Fields.html | 388 +
.../generated/Nimbus.getClusterInfo_args.html | 594 +
.../Nimbus.getClusterInfo_result._Fields.html | 434 +
.../generated/Nimbus.getClusterInfo_result.html | 744 +
.../Nimbus.getComponentPageInfo_args._Fields.html | 458 +
.../Nimbus.getComponentPageInfo_args.html | 884 +
...Nimbus.getComponentPageInfo_result._Fields.html | 446 +
.../Nimbus.getComponentPageInfo_result.html | 814 +
...omponentPendingProfileActions_args._Fields.html | 450 +
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...ponentPendingProfileActions_result._Fields.html | 422 +
...s.getComponentPendingProfileActions_result.html | 713 +
.../generated/Nimbus.getLeader_args._Fields.html | 388 +
.../storm/generated/Nimbus.getLeader_args.html | 594 +
.../generated/Nimbus.getLeader_result._Fields.html | 434 +
.../storm/generated/Nimbus.getLeader_result.html | 744 +
.../Nimbus.getLogConfig_args._Fields.html | 422 +
.../storm/generated/Nimbus.getLogConfig_args.html | 674 +
.../Nimbus.getLogConfig_result._Fields.html | 422 +
.../generated/Nimbus.getLogConfig_result.html | 674 +
.../Nimbus.getNimbusConf_args._Fields.html | 388 +
.../storm/generated/Nimbus.getNimbusConf_args.html | 594 +
.../Nimbus.getNimbusConf_result._Fields.html | 434 +
.../generated/Nimbus.getNimbusConf_result.html | 744 +
...bus.getOwnerResourceSummaries_args._Fields.html | 422 +
.../Nimbus.getOwnerResourceSummaries_args.html | 674 +
...s.getOwnerResourceSummaries_result._Fields.html | 434 +
.../Nimbus.getOwnerResourceSummaries_result.html | 783 +
...mbus.getSupervisorAssignments_args._Fields.html | 422 +
.../Nimbus.getSupervisorAssignments_args.html | 674 +
...us.getSupervisorAssignments_result._Fields.html | 434 +
.../Nimbus.getSupervisorAssignments_result.html | 744 +
.../Nimbus.getSupervisorPageInfo_args._Fields.html | 446 +
.../Nimbus.getSupervisorPageInfo_args.html | 814 +
...imbus.getSupervisorPageInfo_result._Fields.html | 446 +
.../Nimbus.getSupervisorPageInfo_result.html | 814 +
.../Nimbus.getTopologyConf_args._Fields.html | 422 +
.../generated/Nimbus.getTopologyConf_args.html | 674 +
.../Nimbus.getTopologyConf_result._Fields.html | 446 +
.../generated/Nimbus.getTopologyConf_result.html | 814 +
.../Nimbus.getTopologyHistory_args._Fields.html | 422 +
.../generated/Nimbus.getTopologyHistory_args.html | 674 +
.../Nimbus.getTopologyHistory_result._Fields.html | 434 +
.../Nimbus.getTopologyHistory_result.html | 744 +
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.../Nimbus.getTopologyInfoByNameWithOpts_args.html | 744 +
...tTopologyInfoByNameWithOpts_result._Fields.html | 446 +
...imbus.getTopologyInfoByNameWithOpts_result.html | 814 +
.../Nimbus.getTopologyInfoByName_args._Fields.html | 422 +
.../Nimbus.getTopologyInfoByName_args.html | 674 +
...imbus.getTopologyInfoByName_result._Fields.html | 446 +
.../Nimbus.getTopologyInfoByName_result.html | 814 +
...imbus.getTopologyInfoWithOpts_args._Fields.html | 434 +
.../Nimbus.getTopologyInfoWithOpts_args.html | 744 +
...bus.getTopologyInfoWithOpts_result._Fields.html | 446 +
.../Nimbus.getTopologyInfoWithOpts_result.html | 814 +
.../Nimbus.getTopologyInfo_args._Fields.html | 422 +
.../generated/Nimbus.getTopologyInfo_args.html | 674 +
.../Nimbus.getTopologyInfo_result._Fields.html | 446 +
.../generated/Nimbus.getTopologyInfo_result.html | 814 +
.../Nimbus.getTopologyPageInfo_args._Fields.html | 446 +
.../generated/Nimbus.getTopologyPageInfo_args.html | 814 +
.../Nimbus.getTopologyPageInfo_result._Fields.html | 446 +
.../Nimbus.getTopologyPageInfo_result.html | 814 +
.../Nimbus.getTopologySummaries_args._Fields.html | 388 +
.../Nimbus.getTopologySummaries_args.html | 594 +
...Nimbus.getTopologySummaries_result._Fields.html | 434 +
.../Nimbus.getTopologySummaries_result.html | 783 +
...mbus.getTopologySummaryByName_args._Fields.html | 422 +
.../Nimbus.getTopologySummaryByName_args.html | 674 +
...us.getTopologySummaryByName_result._Fields.html | 446 +
.../Nimbus.getTopologySummaryByName_result.html | 814 +
.../Nimbus.getTopologySummary_args._Fields.html | 422 +
.../generated/Nimbus.getTopologySummary_args.html | 674 +
.../Nimbus.getTopologySummary_result._Fields.html | 446 +
.../Nimbus.getTopologySummary_result.html | 814 +
.../generated/Nimbus.getTopology_args._Fields.html | 422 +
.../storm/generated/Nimbus.getTopology_args.html | 674 +
.../Nimbus.getTopology_result._Fields.html | 446 +
.../storm/generated/Nimbus.getTopology_result.html | 814 +
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.../generated/Nimbus.getUserTopology_args.html | 674 +
.../Nimbus.getUserTopology_result._Fields.html | 446 +
.../generated/Nimbus.getUserTopology_result.html | 814 +
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.../Nimbus.isRemoteBlobExists_args._Fields.html | 422 +
.../generated/Nimbus.isRemoteBlobExists_args.html | 674 +
.../Nimbus.isRemoteBlobExists_result._Fields.html | 434 +
.../Nimbus.isRemoteBlobExists_result.html | 744 +
.../Nimbus.isTopologyNameAllowed_args._Fields.html | 422 +
.../Nimbus.isTopologyNameAllowed_args.html | 674 +
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.../Nimbus.isTopologyNameAllowed_result.html | 744 +
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.../Nimbus.killTopologyWithOpts_args.html | 744 +
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.../Nimbus.killTopologyWithOpts_result.html | 744 +
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.../storm/generated/Nimbus.killTopology_args.html | 674 +
.../Nimbus.killTopology_result._Fields.html | 434 +
.../generated/Nimbus.killTopology_result.html | 744 +
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.../storm/generated/Nimbus.listBlobs_args.html | 674 +
.../generated/Nimbus.listBlobs_result._Fields.html | 422 +
.../storm/generated/Nimbus.listBlobs_result.html | 674 +
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.../Nimbus.processWorkerMetrics_args.html | 674 +
...Nimbus.processWorkerMetrics_result._Fields.html | 388 +
.../Nimbus.processWorkerMetrics_result.html | 594 +
.../generated/Nimbus.rebalance_args._Fields.html | 434 +
.../storm/generated/Nimbus.rebalance_args.html | 744 +
.../generated/Nimbus.rebalance_result._Fields.html | 446 +
.../storm/generated/Nimbus.rebalance_result.html | 814 +
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.../Nimbus.sendSupervisorWorkerHeartbeat_args.html | 674 +
...ndSupervisorWorkerHeartbeat_result._Fields.html | 434 +
...imbus.sendSupervisorWorkerHeartbeat_result.html | 744 +
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...mbus.sendSupervisorWorkerHeartbeats_result.html | 674 +
.../generated/Nimbus.setBlobMeta_args._Fields.html | 434 +
.../storm/generated/Nimbus.setBlobMeta_args.html | 744 +
.../Nimbus.setBlobMeta_result._Fields.html | 434 +
.../storm/generated/Nimbus.setBlobMeta_result.html | 744 +
.../Nimbus.setLogConfig_args._Fields.html | 434 +
.../storm/generated/Nimbus.setLogConfig_args.html | 744 +
.../Nimbus.setLogConfig_result._Fields.html | 388 +
.../generated/Nimbus.setLogConfig_result.html | 594 +
.../Nimbus.setWorkerProfiler_args._Fields.html | 434 +
.../generated/Nimbus.setWorkerProfiler_args.html | 744 +
.../Nimbus.setWorkerProfiler_result._Fields.html | 388 +
.../generated/Nimbus.setWorkerProfiler_result.html | 594 +
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.../Nimbus.submitTopologyWithOpts_args.html | 954 +
...mbus.submitTopologyWithOpts_result._Fields.html | 446 +
.../Nimbus.submitTopologyWithOpts_result.html | 814 +
.../Nimbus.submitTopology_args._Fields.html | 458 +
.../generated/Nimbus.submitTopology_args.html | 884 +
.../Nimbus.submitTopology_result._Fields.html | 446 +
.../generated/Nimbus.submitTopology_result.html | 814 +
.../Nimbus.updateBlobReplication_args._Fields.html | 434 +
.../Nimbus.updateBlobReplication_args.html | 744 +
...imbus.updateBlobReplication_result._Fields.html | 446 +
.../Nimbus.updateBlobReplication_result.html | 814 +
.../Nimbus.uploadBlobChunk_args._Fields.html | 434 +
.../generated/Nimbus.uploadBlobChunk_args.html | 770 +
.../Nimbus.uploadBlobChunk_result._Fields.html | 422 +
.../generated/Nimbus.uploadBlobChunk_result.html | 674 +
.../generated/Nimbus.uploadChunk_args._Fields.html | 434 +
.../storm/generated/Nimbus.uploadChunk_args.html | 770 +
.../Nimbus.uploadChunk_result._Fields.html | 422 +
.../storm/generated/Nimbus.uploadChunk_result.html | 674 +
.../Nimbus.uploadNewCredentials_args._Fields.html | 434 +
.../Nimbus.uploadNewCredentials_args.html | 744 +
...Nimbus.uploadNewCredentials_result._Fields.html | 446 +
.../Nimbus.uploadNewCredentials_result.html | 814 +
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.../org/apache/storm/generated/NimbusSummary.html | 951 +
.../apache/storm/generated/NodeInfo._Fields.html | 434 +
.../org/apache/storm/generated/NodeInfo.html | 780 +
.../storm/generated/NotAliveException._Fields.html | 422 +
.../apache/storm/generated/NotAliveException.html | 697 +
.../apache/storm/generated/NullStruct._Fields.html | 388 +
.../org/apache/storm/generated/NullStruct.html | 591 +
.../apache/storm/generated/NumErrorsChoice.html | 400 +
.../generated/OwnerResourceSummary._Fields.html | 626 +
.../storm/generated/OwnerResourceSummary.html | 1827 +
.../storm/generated/PrivateWorkerKey._Fields.html | 446 +
.../apache/storm/generated/PrivateWorkerKey.html | 837 +
.../org/apache/storm/generated/ProfileAction.html | 436 +
.../storm/generated/ProfileRequest._Fields.html | 450 +
.../org/apache/storm/generated/ProfileRequest.html | 817 +
.../storm/generated/ReadableBlobMeta._Fields.html | 434 +
.../apache/storm/generated/ReadableBlobMeta.html | 741 +
.../storm/generated/RebalanceOptions._Fields.html | 482 +
.../apache/storm/generated/RebalanceOptions.html | 1055 +
.../storm/generated/SettableBlobMeta._Fields.html | 434 +
.../apache/storm/generated/SettableBlobMeta.html | 778 +
.../storm/generated/SharedMemory._Fields.html | 458 +
.../org/apache/storm/generated/SharedMemory.html | 879 +
.../storm/generated/ShellComponent._Fields.html | 434 +
.../org/apache/storm/generated/ShellComponent.html | 741 +
.../generated/SpecificAggregateStats._Fields.html | 434 +
.../storm/generated/SpecificAggregateStats.html | 721 +
.../generated/SpoutAggregateStats._Fields.html | 422 +
.../storm/generated/SpoutAggregateStats.html | 659 +
.../apache/storm/generated/SpoutSpec._Fields.html | 434 +
.../org/apache/storm/generated/SpoutSpec.html | 741 +
.../apache/storm/generated/SpoutStats._Fields.html | 446 +
.../org/apache/storm/generated/SpoutStats.html | 895 +
.../storm/generated/StateSpoutSpec._Fields.html | 434 +
.../org/apache/storm/generated/StateSpoutSpec.html | 741 +
.../apache/storm/generated/StormBase._Fields.html | 550 +
.../org/apache/storm/generated/StormBase.html | 1427 +
.../storm/generated/StormTopology._Fields.html | 530 +
.../org/apache/storm/generated/StormTopology.html | 1548 +
.../apache/storm/generated/StreamInfo._Fields.html | 434 +
.../org/apache/storm/generated/StreamInfo.html | 780 +
.../storm/generated/SubmitOptions._Fields.html | 438 +
.../org/apache/storm/generated/SubmitOptions.html | 747 +
.../generated/Supervisor.AsyncClient.Factory.html | 291 +
...syncClient.getLocalAssignmentForStorm_call.html | 366 +
.../storm/generated/Supervisor.AsyncClient.html | 400 +
...AsyncClient.sendSupervisorAssignments_call.html | 364 +
...cClient.sendSupervisorWorkerHeartbeat_call.html | 364 +
.../storm/generated/Supervisor.AsyncIface.html | 281 +
....AsyncProcessor.getLocalAssignmentForStorm.html | 358 +
.../storm/generated/Supervisor.AsyncProcessor.html | 325 +
...r.AsyncProcessor.sendSupervisorAssignments.html | 358 +
...yncProcessor.sendSupervisorWorkerHeartbeat.html | 358 +
.../storm/generated/Supervisor.Client.Factory.html | 308 +
.../apache/storm/generated/Supervisor.Client.html | 528 +
.../apache/storm/generated/Supervisor.Iface.html | 298 +
...visor.Processor.getLocalAssignmentForStorm.html | 354 +
.../storm/generated/Supervisor.Processor.html | 318 +
...rvisor.Processor.sendSupervisorAssignments.html | 354 +
...or.Processor.sendSupervisorWorkerHeartbeat.html | 354 +
...or.getLocalAssignmentForStorm_args._Fields.html | 422 +
...Supervisor.getLocalAssignmentForStorm_args.html | 674 +
....getLocalAssignmentForStorm_result._Fields.html | 446 +
...pervisor.getLocalAssignmentForStorm_result.html | 814 +
.../org/apache/storm/generated/Supervisor.html | 306 +
...sor.sendSupervisorAssignments_args._Fields.html | 422 +
.../Supervisor.sendSupervisorAssignments_args.html | 674 +
...r.sendSupervisorAssignments_result._Fields.html | 422 +
...upervisor.sendSupervisorAssignments_result.html | 674 +
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...ervisor.sendSupervisorWorkerHeartbeat_args.html | 674 +
...ndSupervisorWorkerHeartbeat_result._Fields.html | 422 +
...visor.sendSupervisorWorkerHeartbeat_result.html | 674 +
.../generated/SupervisorAssignments._Fields.html | 422 +
.../storm/generated/SupervisorAssignments.html | 687 +
.../storm/generated/SupervisorInfo._Fields.html | 530 +
.../org/apache/storm/generated/SupervisorInfo.html | 1419 +
.../generated/SupervisorPageInfo._Fields.html | 434 +
.../apache/storm/generated/SupervisorPageInfo.html | 805 +
.../storm/generated/SupervisorSummary._Fields.html | 566 +
.../apache/storm/generated/SupervisorSummary.html | 1551 +
.../SupervisorWorkerHeartbeat._Fields.html | 446 +
.../storm/generated/SupervisorWorkerHeartbeat.html | 850 +
.../SupervisorWorkerHeartbeats._Fields.html | 434 +
.../generated/SupervisorWorkerHeartbeats.html | 780 +
.../generated/ThriftSerializedObject._Fields.html | 434 +
.../storm/generated/ThriftSerializedObject.html | 767 +
.../generated/TopologyActionOptions._Fields.html | 434 +
.../storm/generated/TopologyActionOptions.html | 721 +
.../generated/TopologyHistoryInfo._Fields.html | 422 +
.../storm/generated/TopologyHistoryInfo.html | 710 +
.../storm/generated/TopologyInfo._Fields.html | 614 +
.../org/apache/storm/generated/TopologyInfo.html | 1864 +
.../storm/generated/TopologyInitialStatus.html | 388 +
.../storm/generated/TopologyPageInfo._Fields.html | 818 +
.../apache/storm/generated/TopologyPageInfo.html | 3066 +
.../storm/generated/TopologyStats._Fields.html | 470 +
.../org/apache/storm/generated/TopologyStats.html | 1071 +
.../org/apache/storm/generated/TopologyStatus.html | 412 +
.../storm/generated/TopologySummary._Fields.html | 650 +
.../apache/storm/generated/TopologySummary.html | 2031 +
.../storm/generated/WorkerMetricList._Fields.html | 422 +
.../apache/storm/generated/WorkerMetricList.html | 710 +
.../storm/generated/WorkerMetricPoint._Fields.html | 482 +
.../apache/storm/generated/WorkerMetricPoint.html | 1021 +
.../storm/generated/WorkerMetrics._Fields.html | 458 +
.../org/apache/storm/generated/WorkerMetrics.html | 881 +
.../storm/generated/WorkerResources._Fields.html | 494 +
.../apache/storm/generated/WorkerResources.html | 1123 +
.../storm/generated/WorkerSummary._Fields.html | 602 +
.../org/apache/storm/generated/WorkerSummary.html | 1707 +
.../storm/generated/WorkerToken._Fields.html | 450 +
.../org/apache/storm/generated/WorkerToken.html | 871 +
.../storm/generated/WorkerTokenInfo._Fields.html | 458 +
.../apache/storm/generated/WorkerTokenInfo.html | 881 +
.../storm/generated/WorkerTokenServiceType.html | 400 +
.../generated/class-use/AccessControl._Fields.html | 237 +
.../storm/generated/class-use/AccessControl.html | 336 +
.../generated/class-use/AccessControlType.html | 213 +
.../class-use/AlreadyAliveException._Fields.html | 237 +
.../generated/class-use/AlreadyAliveException.html | 499 +
.../generated/class-use/Assignment._Fields.html | 237 +
.../storm/generated/class-use/Assignment.html | 582 +
.../class-use/AuthorizationException._Fields.html | 237 +
.../class-use/AuthorizationException.html | 3166 +
.../class-use/BeginDownloadResult._Fields.html | 237 +
.../generated/class-use/BeginDownloadResult.html | 346 +
.../storm/generated/class-use/Bolt._Fields.html | 237 +
.../org/apache/storm/generated/class-use/Bolt.html | 292 +
.../class-use/BoltAggregateStats._Fields.html | 237 +
.../generated/class-use/BoltAggregateStats.html | 211 +
.../generated/class-use/BoltStats._Fields.html | 237 +
.../storm/generated/class-use/BoltStats.html | 211 +
.../class-use/ClusterSummary._Fields.html | 237 +
.../storm/generated/class-use/ClusterSummary.html | 384 +
.../class-use/ClusterWorkerHeartbeat._Fields.html | 237 +
.../class-use/ClusterWorkerHeartbeat.html | 296 +
.../class-use/CommonAggregateStats._Fields.html | 237 +
.../generated/class-use/CommonAggregateStats.html | 207 +
.../class-use/ComponentAggregateStats._Fields.html | 237 +
.../class-use/ComponentAggregateStats.html | 290 +
.../class-use/ComponentCommon._Fields.html | 237 +
.../storm/generated/class-use/ComponentCommon.html | 373 +
.../class-use/ComponentObject._Fields.html | 247 +
.../storm/generated/class-use/ComponentObject.html | 306 +
.../class-use/ComponentPageInfo._Fields.html | 237 +
.../generated/class-use/ComponentPageInfo.html | 416 +
.../storm/generated/class-use/ComponentType.html | 259 +
.../generated/class-use/Credentials._Fields.html | 237 +
.../storm/generated/class-use/Credentials.html | 382 +
.../generated/class-use/DRPCExceptionType.html | 201 +
.../class-use/DRPCExecutionException._Fields.html | 237 +
.../class-use/DRPCExecutionException.html | 465 +
.../generated/class-use/DRPCRequest._Fields.html | 237 +
.../storm/generated/class-use/DRPCRequest.html | 385 +
.../generated/class-use/DebugOptions._Fields.html | 237 +
.../storm/generated/class-use/DebugOptions.html | 316 +
.../DistributedRPC.AsyncClient.Factory.html | 129 +
.../DistributedRPC.AsyncClient.execute_call.html | 129 +
.../class-use/DistributedRPC.AsyncClient.html | 169 +
.../class-use/DistributedRPC.AsyncIface.html | 186 +
.../DistributedRPC.AsyncProcessor.execute.html | 129 +
.../class-use/DistributedRPC.AsyncProcessor.html | 129 +
.../class-use/DistributedRPC.Client.Factory.html | 129 +
.../generated/class-use/DistributedRPC.Client.html | 174 +
.../generated/class-use/DistributedRPC.Iface.html | 280 +
.../DistributedRPC.Processor.execute.html | 129 +
.../class-use/DistributedRPC.Processor.html | 129 +
.../DistributedRPC.execute_args._Fields.html | 237 +
.../class-use/DistributedRPC.execute_args.html | 218 +
.../DistributedRPC.execute_result._Fields.html | 237 +
.../class-use/DistributedRPC.execute_result.html | 204 +
.../storm/generated/class-use/DistributedRPC.html | 129 +
...tributedRPCInvocations.AsyncClient.Factory.html | 129 +
...Invocations.AsyncClient.failRequestV2_call.html | 129 +
...PCInvocations.AsyncClient.failRequest_call.html | 129 +
...CInvocations.AsyncClient.fetchRequest_call.html | 129 +
.../DistributedRPCInvocations.AsyncClient.html | 169 +
...utedRPCInvocations.AsyncClient.result_call.html | 129 +
.../DistributedRPCInvocations.AsyncIface.html | 198 +
...dRPCInvocations.AsyncProcessor.failRequest.html | 129 +
...PCInvocations.AsyncProcessor.failRequestV2.html | 129 +
...RPCInvocations.AsyncProcessor.fetchRequest.html | 129 +
.../DistributedRPCInvocations.AsyncProcessor.html | 129 +
...ibutedRPCInvocations.AsyncProcessor.result.html | 129 +
.../DistributedRPCInvocations.Client.Factory.html | 129 +
.../DistributedRPCInvocations.Client.html | 196 +
.../class-use/DistributedRPCInvocations.Iface.html | 279 +
...ibutedRPCInvocations.Processor.failRequest.html | 129 +
...utedRPCInvocations.Processor.failRequestV2.html | 129 +
...butedRPCInvocations.Processor.fetchRequest.html | 129 +
.../DistributedRPCInvocations.Processor.html | 129 +
...DistributedRPCInvocations.Processor.result.html | 129 +
...dRPCInvocations.failRequestV2_args._Fields.html | 237 +
...stributedRPCInvocations.failRequestV2_args.html | 218 +
...PCInvocations.failRequestV2_result._Fields.html | 237 +
...ributedRPCInvocations.failRequestV2_result.html | 204 +
...tedRPCInvocations.failRequest_args._Fields.html | 237 +
...DistributedRPCInvocations.failRequest_args.html | 218 +
...dRPCInvocations.failRequest_result._Fields.html | 237 +
...stributedRPCInvocations.failRequest_result.html | 204 +
...edRPCInvocations.fetchRequest_args._Fields.html | 237 +
...istributedRPCInvocations.fetchRequest_args.html | 218 +
...RPCInvocations.fetchRequest_result._Fields.html | 237 +
...tributedRPCInvocations.fetchRequest_result.html | 204 +
.../class-use/DistributedRPCInvocations.html | 129 +
...tributedRPCInvocations.result_args._Fields.html | 237 +
.../DistributedRPCInvocations.result_args.html | 218 +
...ibutedRPCInvocations.result_result._Fields.html | 237 +
.../DistributedRPCInvocations.result_result.html | 204 +
.../generated/class-use/ErrorInfo._Fields.html | 237 +
.../storm/generated/class-use/ErrorInfo.html | 317 +
.../class-use/ExecutorAggregateStats._Fields.html | 237 +
.../class-use/ExecutorAggregateStats.html | 233 +
.../generated/class-use/ExecutorInfo._Fields.html | 237 +
.../storm/generated/class-use/ExecutorInfo.html | 429 +
.../class-use/ExecutorSpecificStats._Fields.html | 247 +
.../generated/class-use/ExecutorSpecificStats.html | 219 +
.../generated/class-use/ExecutorStats._Fields.html | 237 +
.../storm/generated/class-use/ExecutorStats.html | 420 +
.../class-use/ExecutorSummary._Fields.html | 237 +
.../storm/generated/class-use/ExecutorSummary.html | 423 +
.../class-use/GetInfoOptions._Fields.html | 237 +
.../storm/generated/class-use/GetInfoOptions.html | 292 +
.../class-use/GlobalStreamId._Fields.html | 237 +
.../storm/generated/class-use/GlobalStreamId.html | 993 +
.../generated/class-use/Grouping._Fields.html | 269 +
.../apache/storm/generated/class-use/Grouping.html | 699 +
.../HBAuthorizationException._Fields.html | 237 +
.../class-use/HBAuthorizationException.html | 199 +
.../class-use/HBExecutionException._Fields.html | 237 +
.../generated/class-use/HBExecutionException.html | 223 +
.../generated/class-use/HBMessage._Fields.html | 237 +
.../storm/generated/class-use/HBMessage.html | 283 +
.../generated/class-use/HBMessageData._Fields.html | 247 +
.../storm/generated/class-use/HBMessageData.html | 237 +
.../storm/generated/class-use/HBNodes._Fields.html | 237 +
.../apache/storm/generated/class-use/HBNodes.html | 211 +
.../storm/generated/class-use/HBPulse._Fields.html | 237 +
.../apache/storm/generated/class-use/HBPulse.html | 256 +
.../generated/class-use/HBRecords._Fields.html | 237 +
.../storm/generated/class-use/HBRecords.html | 211 +
.../generated/class-use/HBServerMessageType.html | 213 +
.../class-use/IllegalStateException._Fields.html | 237 +
.../generated/class-use/IllegalStateException.html | 281 +
.../InvalidTopologyException._Fields.html | 237 +
.../class-use/InvalidTopologyException.html | 754 +
.../generated/class-use/JavaObject._Fields.html | 237 +
.../storm/generated/class-use/JavaObject.html | 249 +
.../generated/class-use/JavaObjectArg._Fields.html | 247 +
.../storm/generated/class-use/JavaObjectArg.html | 271 +
.../KeyAlreadyExistsException._Fields.html | 237 +
.../class-use/KeyAlreadyExistsException.html | 435 +
.../class-use/KeyNotFoundException._Fields.html | 237 +
.../generated/class-use/KeyNotFoundException.html | 1015 +
.../generated/class-use/KillOptions._Fields.html | 237 +
.../storm/generated/class-use/KillOptions.html | 324 +
.../class-use/LSApprovedWorkers._Fields.html | 237 +
.../generated/class-use/LSApprovedWorkers.html | 199 +
.../class-use/LSSupervisorAssignments._Fields.html | 237 +
.../class-use/LSSupervisorAssignments.html | 199 +
.../class-use/LSSupervisorId._Fields.html | 237 +
.../storm/generated/class-use/LSSupervisorId.html | 199 +
.../generated/class-use/LSTopoHistory._Fields.html | 237 +
.../storm/generated/class-use/LSTopoHistory.html | 279 +
.../class-use/LSTopoHistoryList._Fields.html | 237 +
.../generated/class-use/LSTopoHistoryList.html | 199 +
.../class-use/LSWorkerHeartbeat._Fields.html | 237 +
.../generated/class-use/LSWorkerHeartbeat.html | 282 +
.../class-use/ListBlobsResult._Fields.html | 237 +
.../storm/generated/class-use/ListBlobsResult.html | 344 +
.../class-use/LocalAssignment._Fields.html | 237 +
.../storm/generated/class-use/LocalAssignment.html | 580 +
.../class-use/LocalStateData._Fields.html | 237 +
.../storm/generated/class-use/LocalStateData.html | 199 +
.../generated/class-use/LogConfig._Fields.html | 237 +
.../storm/generated/class-use/LogConfig.html | 494 +
.../generated/class-use/LogLevel._Fields.html | 237 +
.../apache/storm/generated/class-use/LogLevel.html | 250 +
.../storm/generated/class-use/LogLevelAction.html | 212 +
.../class-use/Nimbus.AsyncClient.Factory.html | 129 +
.../Nimbus.AsyncClient.activate_call.html | 129 +
.../Nimbus.AsyncClient.beginBlobDownload_call.html | 129 +
.../Nimbus.AsyncClient.beginCreateBlob_call.html | 129 +
.../Nimbus.AsyncClient.beginFileUpload_call.html | 129 +
.../Nimbus.AsyncClient.beginUpdateBlob_call.html | 129 +
.../Nimbus.AsyncClient.cancelBlobUpload_call.html | 129 +
...us.AsyncClient.createStateInZookeeper_call.html | 129 +
.../Nimbus.AsyncClient.deactivate_call.html | 129 +
.../class-use/Nimbus.AsyncClient.debug_call.html | 129 +
.../Nimbus.AsyncClient.deleteBlob_call.html | 129 +
.../Nimbus.AsyncClient.downloadBlobChunk_call.html | 129 +
.../Nimbus.AsyncClient.downloadChunk_call.html | 129 +
.../Nimbus.AsyncClient.finishBlobUpload_call.html | 129 +
.../Nimbus.AsyncClient.finishFileUpload_call.html | 129 +
.../Nimbus.AsyncClient.getBlobMeta_call.html | 129 +
...Nimbus.AsyncClient.getBlobReplication_call.html | 129 +
.../Nimbus.AsyncClient.getClusterInfo_call.html | 129 +
...mbus.AsyncClient.getComponentPageInfo_call.html | 129 +
...ent.getComponentPendingProfileActions_call.html | 129 +
.../Nimbus.AsyncClient.getLeader_call.html | 129 +
.../Nimbus.AsyncClient.getLogConfig_call.html | 129 +
.../Nimbus.AsyncClient.getNimbusConf_call.html | 129 +
...AsyncClient.getOwnerResourceSummaries_call.html | 129 +
....AsyncClient.getSupervisorAssignments_call.html | 129 +
...bus.AsyncClient.getSupervisorPageInfo_call.html | 129 +
.../Nimbus.AsyncClient.getTopologyConf_call.html | 129 +
...Nimbus.AsyncClient.getTopologyHistory_call.html | 129 +
...cClient.getTopologyInfoByNameWithOpts_call.html | 129 +
...bus.AsyncClient.getTopologyInfoByName_call.html | 129 +
...s.AsyncClient.getTopologyInfoWithOpts_call.html | 129 +
.../Nimbus.AsyncClient.getTopologyInfo_call.html | 129 +
...imbus.AsyncClient.getTopologyPageInfo_call.html | 129 +
...mbus.AsyncClient.getTopologySummaries_call.html | 129 +
....AsyncClient.getTopologySummaryByName_call.html | 129 +
...Nimbus.AsyncClient.getTopologySummary_call.html | 129 +
.../Nimbus.AsyncClient.getTopology_call.html | 129 +
.../Nimbus.AsyncClient.getUserTopology_call.html | 129 +
.../generated/class-use/Nimbus.AsyncClient.html | 169 +
...Nimbus.AsyncClient.isRemoteBlobExists_call.html | 129 +
...bus.AsyncClient.isTopologyNameAllowed_call.html | 129 +
...mbus.AsyncClient.killTopologyWithOpts_call.html | 129 +
.../Nimbus.AsyncClient.killTopology_call.html | 129 +
.../Nimbus.AsyncClient.listBlobs_call.html | 129 +
...mbus.AsyncClient.processWorkerMetrics_call.html | 129 +
.../Nimbus.AsyncClient.rebalance_call.html | 129 +
...cClient.sendSupervisorWorkerHeartbeat_call.html | 129 +
...Client.sendSupervisorWorkerHeartbeats_call.html | 129 +
.../Nimbus.AsyncClient.setBlobMeta_call.html | 129 +
.../Nimbus.AsyncClient.setLogConfig_call.html | 129 +
.../Nimbus.AsyncClient.setWorkerProfiler_call.html | 129 +
...us.AsyncClient.submitTopologyWithOpts_call.html | 129 +
.../Nimbus.AsyncClient.submitTopology_call.html | 129 +
...bus.AsyncClient.updateBlobReplication_call.html | 129 +
.../Nimbus.AsyncClient.uploadBlobChunk_call.html | 129 +
.../Nimbus.AsyncClient.uploadChunk_call.html | 129 +
...mbus.AsyncClient.uploadNewCredentials_call.html | 129 +
.../generated/class-use/Nimbus.AsyncIface.html | 382 +
.../class-use/Nimbus.AsyncProcessor.activate.html | 129 +
.../Nimbus.AsyncProcessor.beginBlobDownload.html | 129 +
.../Nimbus.AsyncProcessor.beginCreateBlob.html | 129 +
.../Nimbus.AsyncProcessor.beginFileUpload.html | 129 +
.../Nimbus.AsyncProcessor.beginUpdateBlob.html | 129 +
.../Nimbus.AsyncProcessor.cancelBlobUpload.html | 129 +
...mbus.AsyncProcessor.createStateInZookeeper.html | 129 +
.../Nimbus.AsyncProcessor.deactivate.html | 129 +
.../class-use/Nimbus.AsyncProcessor.debug.html | 129 +
.../Nimbus.AsyncProcessor.deleteBlob.html | 129 +
.../Nimbus.AsyncProcessor.downloadBlobChunk.html | 129 +
.../Nimbus.AsyncProcessor.downloadChunk.html | 129 +
.../Nimbus.AsyncProcessor.finishBlobUpload.html | 129 +
.../Nimbus.AsyncProcessor.finishFileUpload.html | 129 +
.../Nimbus.AsyncProcessor.getBlobMeta.html | 129 +
.../Nimbus.AsyncProcessor.getBlobReplication.html | 129 +
.../Nimbus.AsyncProcessor.getClusterInfo.html | 129 +
...Nimbus.AsyncProcessor.getComponentPageInfo.html | 129 +
...rocessor.getComponentPendingProfileActions.html | 129 +
.../class-use/Nimbus.AsyncProcessor.getLeader.html | 129 +
.../Nimbus.AsyncProcessor.getLogConfig.html | 129 +
.../Nimbus.AsyncProcessor.getNimbusConf.html | 129 +
...s.AsyncProcessor.getOwnerResourceSummaries.html | 129 +
...us.AsyncProcessor.getSupervisorAssignments.html | 129 +
...imbus.AsyncProcessor.getSupervisorPageInfo.html | 129 +
.../Nimbus.AsyncProcessor.getTopology.html | 129 +
.../Nimbus.AsyncProcessor.getTopologyConf.html | 129 +
.../Nimbus.AsyncProcessor.getTopologyHistory.html | 129 +
.../Nimbus.AsyncProcessor.getTopologyInfo.html | 129 +
...imbus.AsyncProcessor.getTopologyInfoByName.html | 129 +
...yncProcessor.getTopologyInfoByNameWithOpts.html | 129 +
...bus.AsyncProcessor.getTopologyInfoWithOpts.html | 129 +
.../Nimbus.AsyncProcessor.getTopologyPageInfo.html | 129 +
...Nimbus.AsyncProcessor.getTopologySummaries.html | 129 +
.../Nimbus.AsyncProcessor.getTopologySummary.html | 129 +
...us.AsyncProcessor.getTopologySummaryByName.html | 129 +
.../Nimbus.AsyncProcessor.getUserTopology.html | 129 +
.../generated/class-use/Nimbus.AsyncProcessor.html | 129 +
.../Nimbus.AsyncProcessor.isRemoteBlobExists.html | 129 +
...imbus.AsyncProcessor.isTopologyNameAllowed.html | 129 +
.../Nimbus.AsyncProcessor.killTopology.html | 129 +
...Nimbus.AsyncProcessor.killTopologyWithOpts.html | 129 +
.../class-use/Nimbus.AsyncProcessor.listBlobs.html | 129 +
...Nimbus.AsyncProcessor.processWorkerMetrics.html | 129 +
.../class-use/Nimbus.AsyncProcessor.rebalance.html | 129 +
...yncProcessor.sendSupervisorWorkerHeartbeat.html | 129 +
...ncProcessor.sendSupervisorWorkerHeartbeats.html | 129 +
.../Nimbus.AsyncProcessor.setBlobMeta.html | 129 +
.../Nimbus.AsyncProcessor.setLogConfig.html | 129 +
.../Nimbus.AsyncProcessor.setWorkerProfiler.html | 129 +
.../Nimbus.AsyncProcessor.submitTopology.html | 129 +
...mbus.AsyncProcessor.submitTopologyWithOpts.html | 129 +
...imbus.AsyncProcessor.updateBlobReplication.html | 129 +
.../Nimbus.AsyncProcessor.uploadBlobChunk.html | 129 +
.../Nimbus.AsyncProcessor.uploadChunk.html | 129 +
...Nimbus.AsyncProcessor.uploadNewCredentials.html | 129 +
.../generated/class-use/Nimbus.Client.Factory.html | 129 +
.../storm/generated/class-use/Nimbus.Client.html | 174 +
.../storm/generated/class-use/Nimbus.Iface.html | 839 +
.../class-use/Nimbus.Processor.activate.html | 129 +
.../Nimbus.Processor.beginBlobDownload.html | 129 +
.../Nimbus.Processor.beginCreateBlob.html | 129 +
.../Nimbus.Processor.beginFileUpload.html | 129 +
.../Nimbus.Processor.beginUpdateBlob.html | 129 +
.../Nimbus.Processor.cancelBlobUpload.html | 129 +
.../Nimbus.Processor.createStateInZookeeper.html | 129 +
.../class-use/Nimbus.Processor.deactivate.html | 129 +
.../class-use/Nimbus.Processor.debug.html | 129 +
.../class-use/Nimbus.Processor.deleteBlob.html | 129 +
.../Nimbus.Processor.downloadBlobChunk.html | 129 +
.../class-use/Nimbus.Processor.downloadChunk.html | 129 +
.../Nimbus.Processor.finishBlobUpload.html | 129 +
.../Nimbus.Processor.finishFileUpload.html | 129 +
.../class-use/Nimbus.Processor.getBlobMeta.html | 129 +
.../Nimbus.Processor.getBlobReplication.html | 129 +
.../class-use/Nimbus.Processor.getClusterInfo.html | 129 +
.../Nimbus.Processor.getComponentPageInfo.html | 129 +
...rocessor.getComponentPendingProfileActions.html | 129 +
.../class-use/Nimbus.Processor.getLeader.html | 129 +
.../class-use/Nimbus.Processor.getLogConfig.html | 129 +
.../class-use/Nimbus.Processor.getNimbusConf.html | 129 +
...Nimbus.Processor.getOwnerResourceSummaries.html | 129 +
.../Nimbus.Processor.getSupervisorAssignments.html | 129 +
.../Nimbus.Processor.getSupervisorPageInfo.html | 129 +
.../class-use/Nimbus.Processor.getTopology.html | 129 +
.../Nimbus.Processor.getTopologyConf.html | 129 +
.../Nimbus.Processor.getTopologyHistory.html | 129 +
.../Nimbus.Processor.getTopologyInfo.html | 129 +
.../Nimbus.Processor.getTopologyInfoByName.html | 129 +
...us.Processor.getTopologyInfoByNameWithOpts.html | 129 +
.../Nimbus.Processor.getTopologyInfoWithOpts.html | 129 +
.../Nimbus.Processor.getTopologyPageInfo.html | 129 +
.../Nimbus.Processor.getTopologySummaries.html | 129 +
.../Nimbus.Processor.getTopologySummary.html | 129 +
.../Nimbus.Processor.getTopologySummaryByName.html | 129 +
.../Nimbus.Processor.getUserTopology.html | 129 +
.../generated/class-use/Nimbus.Processor.html | 129 +
.../Nimbus.Processor.isRemoteBlobExists.html | 129 +
.../Nimbus.Processor.isTopologyNameAllowed.html | 129 +
.../class-use/Nimbus.Processor.killTopology.html | 129 +
.../Nimbus.Processor.killTopologyWithOpts.html | 129 +
.../class-use/Nimbus.Processor.listBlobs.html | 129 +
.../Nimbus.Processor.processWorkerMetrics.html | 129 +
.../class-use/Nimbus.Processor.rebalance.html | 129 +
...us.Processor.sendSupervisorWorkerHeartbeat.html | 129 +
...s.Processor.sendSupervisorWorkerHeartbeats.html | 129 +
.../class-use/Nimbus.Processor.setBlobMeta.html | 129 +
.../class-use/Nimbus.Processor.setLogConfig.html | 129 +
.../Nimbus.Processor.setWorkerProfiler.html | 129 +
.../class-use/Nimbus.Processor.submitTopology.html | 129 +
.../Nimbus.Processor.submitTopologyWithOpts.html | 129 +
.../Nimbus.Processor.updateBlobReplication.html | 129 +
.../Nimbus.Processor.uploadBlobChunk.html | 129 +
.../class-use/Nimbus.Processor.uploadChunk.html | 129 +
.../Nimbus.Processor.uploadNewCredentials.html | 129 +
.../class-use/Nimbus.activate_args._Fields.html | 237 +
.../generated/class-use/Nimbus.activate_args.html | 218 +
.../class-use/Nimbus.activate_result._Fields.html | 237 +
.../class-use/Nimbus.activate_result.html | 204 +
.../Nimbus.beginBlobDownload_args._Fields.html | 237 +
.../class-use/Nimbus.beginBlobDownload_args.html | 218 +
.../Nimbus.beginBlobDownload_result._Fields.html | 237 +
.../class-use/Nimbus.beginBlobDownload_result.html | 204 +
.../Nimbus.beginCreateBlob_args._Fields.html | 237 +
.../class-use/Nimbus.beginCreateBlob_args.html | 218 +
.../Nimbus.beginCreateBlob_result._Fields.html | 237 +
.../class-use/Nimbus.beginCreateBlob_result.html | 204 +
.../Nimbus.beginFileUpload_args._Fields.html | 237 +
.../class-use/Nimbus.beginFileUpload_args.html | 218 +
.../Nimbus.beginFileUpload_result._Fields.html | 237 +
.../class-use/Nimbus.beginFileUpload_result.html | 204 +
.../Nimbus.beginUpdateBlob_args._Fields.html | 237 +
.../class-use/Nimbus.beginUpdateBlob_args.html | 218 +
.../Nimbus.beginUpdateBlob_result._Fields.html | 237 +
.../class-use/Nimbus.beginUpdateBlob_result.html | 204 +
.../Nimbus.cancelBlobUpload_args._Fields.html | 237 +
.../class-use/Nimbus.cancelBlobUpload_args.html | 218 +
.../Nimbus.cancelBlobUpload_result._Fields.html | 237 +
.../class-use/Nimbus.cancelBlobUpload_result.html | 204 +
...Nimbus.createStateInZookeeper_args._Fields.html | 237 +
.../Nimbus.createStateInZookeeper_args.html | 218 +
...mbus.createStateInZookeeper_result._Fields.html | 237 +
.../Nimbus.createStateInZookeeper_result.html | 204 +
.../class-use/Nimbus.deactivate_args._Fields.html | 237 +
.../class-use/Nimbus.deactivate_args.html | 218 +
.../Nimbus.deactivate_result._Fields.html | 237 +
.../class-use/Nimbus.deactivate_result.html | 204 +
.../class-use/Nimbus.debug_args._Fields.html | 237 +
.../generated/class-use/Nimbus.debug_args.html | 218 +
.../class-use/Nimbus.debug_result._Fields.html | 237 +
.../generated/class-use/Nimbus.debug_result.html | 204 +
.../class-use/Nimbus.deleteBlob_args._Fields.html | 237 +
.../class-use/Nimbus.deleteBlob_args.html | 218 +
.../Nimbus.deleteBlob_result._Fields.html | 237 +
.../class-use/Nimbus.deleteBlob_result.html | 204 +
.../Nimbus.downloadBlobChunk_args._Fields.html | 237 +
.../class-use/Nimbus.downloadBlobChunk_args.html | 218 +
.../Nimbus.downloadBlobChunk_result._Fields.html | 237 +
.../class-use/Nimbus.downloadBlobChunk_result.html | 204 +
.../Nimbus.downloadChunk_args._Fields.html | 237 +
.../class-use/Nimbus.downloadChunk_args.html | 218 +
.../Nimbus.downloadChunk_result._Fields.html | 237 +
.../class-use/Nimbus.downloadChunk_result.html | 204 +
.../Nimbus.finishBlobUpload_args._Fields.html | 237 +
.../class-use/Nimbus.finishBlobUpload_args.html | 218 +
.../Nimbus.finishBlobUpload_result._Fields.html | 237 +
.../class-use/Nimbus.finishBlobUpload_result.html | 204 +
.../Nimbus.finishFileUpload_args._Fields.html | 237 +
.../class-use/Nimbus.finishFileUpload_args.html | 218 +
.../Nimbus.finishFileUpload_result._Fields.html | 237 +
.../class-use/Nimbus.finishFileUpload_result.html | 204 +
.../class-use/Nimbus.getBlobMeta_args._Fields.html | 237 +
.../class-use/Nimbus.getBlobMeta_args.html | 218 +
.../Nimbus.getBlobMeta_result._Fields.html | 237 +
.../class-use/Nimbus.getBlobMeta_result.html | 204 +
.../Nimbus.getBlobReplication_args._Fields.html | 237 +
.../class-use/Nimbus.getBlobReplication_args.html | 218 +
.../Nimbus.getBlobReplication_result._Fields.html | 237 +
.../Nimbus.getBlobReplication_result.html | 204 +
.../Nimbus.getClusterInfo_args._Fields.html | 237 +
.../class-use/Nimbus.getClusterInfo_args.html | 218 +
.../Nimbus.getClusterInfo_result._Fields.html | 237 +
.../class-use/Nimbus.getClusterInfo_result.html | 204 +
.../Nimbus.getComponentPageInfo_args._Fields.html | 237 +
.../Nimbus.getComponentPageInfo_args.html | 218 +
...Nimbus.getComponentPageInfo_result._Fields.html | 237 +
.../Nimbus.getComponentPageInfo_result.html | 204 +
...omponentPendingProfileActions_args._Fields.html | 237 +
...bus.getComponentPendingProfileActions_args.html | 218 +
...ponentPendingProfileActions_result._Fields.html | 237 +
...s.getComponentPendingProfileActions_result.html | 204 +
.../class-use/Nimbus.getLeader_args._Fields.html | 237 +
.../generated/class-use/Nimbus.getLeader_args.html | 218 +
.../class-use/Nimbus.getLeader_result._Fields.html | 237 +
.../class-use/Nimbus.getLeader_result.html | 204 +
.../Nimbus.getLogConfig_args._Fields.html | 237 +
.../class-use/Nimbus.getLogConfig_args.html | 218 +
.../Nimbus.getLogConfig_result._Fields.html | 237 +
.../class-use/Nimbus.getLogConfig_result.html | 204 +
.../Nimbus.getNimbusConf_args._Fields.html | 237 +
.../class-use/Nimbus.getNimbusConf_args.html | 218 +
.../Nimbus.getNimbusConf_result._Fields.html | 237 +
.../class-use/Nimbus.getNimbusConf_result.html | 204 +
...bus.getOwnerResourceSummaries_args._Fields.html | 237 +
.../Nimbus.getOwnerResourceSummaries_args.html | 218 +
...s.getOwnerResourceSummaries_result._Fields.html | 237 +
.../Nimbus.getOwnerResourceSummaries_result.html | 204 +
...mbus.getSupervisorAssignments_args._Fields.html | 237 +
.../Nimbus.getSupervisorAssignments_args.html | 218 +
...us.getSupervisorAssignments_result._Fields.html | 237 +
.../Nimbus.getSupervisorAssignments_result.html | 204 +
.../Nimbus.getSupervisorPageInfo_args._Fields.html | 237 +
.../Nimbus.getSupervisorPageInfo_args.html | 218 +
...imbus.getSupervisorPageInfo_result._Fields.html | 237 +
.../Nimbus.getSupervisorPageInfo_result.html | 204 +
.../Nimbus.getTopologyConf_args._Fields.html | 237 +
.../class-use/Nimbus.getTopologyConf_args.html | 218 +
.../Nimbus.getTopologyConf_result._Fields.html | 237 +
.../class-use/Nimbus.getTopologyConf_result.html | 204 +
.../Nimbus.getTopologyHistory_args._Fields.html | 237 +
.../class-use/Nimbus.getTopologyHistory_args.html | 218 +
.../Nimbus.getTopologyHistory_result._Fields.html | 237 +
.../Nimbus.getTopologyHistory_result.html | 204 +
...getTopologyInfoByNameWithOpts_args._Fields.html | 237 +
.../Nimbus.getTopologyInfoByNameWithOpts_args.html | 218 +
...tTopologyInfoByNameWithOpts_result._Fields.html | 237 +
...imbus.getTopologyInfoByNameWithOpts_result.html | 204 +
.../Nimbus.getTopologyInfoByName_args._Fields.html | 237 +
.../Nimbus.getTopologyInfoByName_args.html | 218 +
...imbus.getTopologyInfoByName_result._Fields.html | 237 +
.../Nimbus.getTopologyInfoByName_result.html | 204 +
...imbus.getTopologyInfoWithOpts_args._Fields.html | 237 +
.../Nimbus.getTopologyInfoWithOpts_args.html | 218 +
...bus.getTopologyInfoWithOpts_result._Fields.html | 237 +
.../Nimbus.getTopologyInfoWithOpts_result.html | 204 +
.../Nimbus.getTopologyInfo_args._Fields.html | 237 +
.../class-use/Nimbus.getTopologyInfo_args.html | 218 +
.../Nimbus.getTopologyInfo_result._Fields.html | 237 +
.../class-use/Nimbus.getTopologyInfo_result.html | 204 +
.../Nimbus.getTopologyPageInfo_args._Fields.html | 237 +
.../class-use/Nimbus.getTopologyPageInfo_args.html | 218 +
.../Nimbus.getTopologyPageInfo_result._Fields.html | 237 +
.../Nimbus.getTopologyPageInfo_result.html | 204 +
.../Nimbus.getTopologySummaries_args._Fields.html | 237 +
.../Nimbus.getTopologySummaries_args.html | 218 +
...Nimbus.getTopologySummaries_result._Fields.html | 237 +
.../Nimbus.getTopologySummaries_result.html | 204 +
...mbus.getTopologySummaryByName_args._Fields.html | 237 +
.../Nimbus.getTopologySummaryByName_args.html | 218 +
...us.getTopologySummaryByName_result._Fields.html | 237 +
.../Nimbus.getTopologySummaryByName_result.html | 204 +
.../Nimbus.getTopologySummary_args._Fields.html | 237 +
.../class-use/Nimbus.getTopologySummary_args.html | 218 +
.../Nimbus.getTopologySummary_result._Fields.html | 237 +
.../Nimbus.getTopologySummary_result.html | 204 +
.../class-use/Nimbus.getTopology_args._Fields.html | 237 +
.../class-use/Nimbus.getTopology_args.html | 218 +
.../Nimbus.getTopology_result._Fields.html | 237 +
.../class-use/Nimbus.getTopology_result.html | 204 +
.../Nimbus.getUserTopology_args._Fields.html | 237 +
.../class-use/Nimbus.getUserTopology_args.html | 218 +
.../Nimbus.getUserTopology_result._Fields.html | 237 +
.../class-use/Nimbus.getUserTopology_result.html | 204 +
.../apache/storm/generated/class-use/Nimbus.html | 129 +
.../Nimbus.isRemoteBlobExists_args._Fields.html | 237 +
.../class-use/Nimbus.isRemoteBlobExists_args.html | 218 +
.../Nimbus.isRemoteBlobExists_result._Fields.html | 237 +
.../Nimbus.isRemoteBlobExists_result.html | 204 +
.../Nimbus.isTopologyNameAllowed_args._Fields.html | 237 +
.../Nimbus.isTopologyNameAllowed_args.html | 218 +
...imbus.isTopologyNameAllowed_result._Fields.html | 237 +
.../Nimbus.isTopologyNameAllowed_result.html | 204 +
.../Nimbus.killTopologyWithOpts_args._Fields.html | 237 +
.../Nimbus.killTopologyWithOpts_args.html | 218 +
...Nimbus.killTopologyWithOpts_result._Fields.html | 237 +
.../Nimbus.killTopologyWithOpts_result.html | 204 +
.../Nimbus.killTopology_args._Fields.html | 237 +
.../class-use/Nimbus.killTopology_args.html | 218 +
.../Nimbus.killTopology_result._Fields.html | 237 +
.../class-use/Nimbus.killTopology_result.html | 204 +
.../class-use/Nimbus.listBlobs_args._Fields.html | 237 +
.../generated/class-use/Nimbus.listBlobs_args.html | 218 +
.../class-use/Nimbus.listBlobs_result._Fields.html | 237 +
.../class-use/Nimbus.listBlobs_result.html | 204 +
.../Nimbus.processWorkerMetrics_args._Fields.html | 237 +
.../Nimbus.processWorkerMetrics_args.html | 218 +
...Nimbus.processWorkerMetrics_result._Fields.html | 237 +
.../Nimbus.processWorkerMetrics_result.html | 204 +
.../class-use/Nimbus.rebalance_args._Fields.html | 237 +
.../generated/class-use/Nimbus.rebalance_args.html | 218 +
.../class-use/Nimbus.rebalance_result._Fields.html | 237 +
.../class-use/Nimbus.rebalance_result.html | 204 +
...sendSupervisorWorkerHeartbeat_args._Fields.html | 237 +
.../Nimbus.sendSupervisorWorkerHeartbeat_args.html | 218 +
...ndSupervisorWorkerHeartbeat_result._Fields.html | 237 +
...imbus.sendSupervisorWorkerHeartbeat_result.html | 204 +
...endSupervisorWorkerHeartbeats_args._Fields.html | 237 +
...Nimbus.sendSupervisorWorkerHeartbeats_args.html | 218 +
...dSupervisorWorkerHeartbeats_result._Fields.html | 237 +
...mbus.sendSupervisorWorkerHeartbeats_result.html | 204 +
.../class-use/Nimbus.setBlobMeta_args._Fields.html | 237 +
.../class-use/Nimbus.setBlobMeta_args.html | 218 +
.../Nimbus.setBlobMeta_result._Fields.html | 237 +
.../class-use/Nimbus.setBlobMeta_result.html | 204 +
.../Nimbus.setLogConfig_args._Fields.html | 237 +
.../class-use/Nimbus.setLogConfig_args.html | 218 +
.../Nimbus.setLogConfig_result._Fields.html | 237 +
.../class-use/Nimbus.setLogConfig_result.html | 204 +
.../Nimbus.setWorkerProfiler_args._Fields.html | 237 +
.../class-use/Nimbus.setWorkerProfiler_args.html | 218 +
.../Nimbus.setWorkerProfiler_result._Fields.html | 237 +
.../class-use/Nimbus.setWorkerProfiler_result.html | 204 +
...Nimbus.submitTopologyWithOpts_args._Fields.html | 237 +
.../Nimbus.submitTopologyWithOpts_args.html | 218 +
...mbus.submitTopologyWithOpts_result._Fields.html | 237 +
.../Nimbus.submitTopologyWithOpts_result.html | 204 +
.../Nimbus.submitTopology_args._Fields.html | 237 +
.../class-use/Nimbus.submitTopology_args.html | 218 +
.../Nimbus.submitTopology_result._Fields.html | 237 +
.../class-use/Nimbus.submitTopology_result.html | 204 +
.../Nimbus.updateBlobReplication_args._Fields.html | 237 +
.../Nimbus.updateBlobReplication_args.html | 218 +
...imbus.updateBlobReplication_result._Fields.html | 237 +
.../Nimbus.updateBlobReplication_result.html | 204 +
.../Nimbus.uploadBlobChunk_args._Fields.html | 237 +
.../class-use/Nimbus.uploadBlobChunk_args.html | 218 +
.../Nimbus.uploadBlobChunk_result._Fields.html | 237 +
.../class-use/Nimbus.uploadBlobChunk_result.html | 204 +
.../class-use/Nimbus.uploadChunk_args._Fields.html | 237 +
.../class-use/Nimbus.uploadChunk_args.html | 218 +
.../Nimbus.uploadChunk_result._Fields.html | 237 +
.../class-use/Nimbus.uploadChunk_result.html | 204 +
.../Nimbus.uploadNewCredentials_args._Fields.html | 237 +
.../Nimbus.uploadNewCredentials_args.html | 218 +
...Nimbus.uploadNewCredentials_result._Fields.html | 237 +
.../Nimbus.uploadNewCredentials_result.html | 204 +
.../generated/class-use/NimbusSummary._Fields.html | 237 +
.../storm/generated/class-use/NimbusSummary.html | 388 +
.../generated/class-use/NodeInfo._Fields.html | 237 +
.../apache/storm/generated/class-use/NodeInfo.html | 461 +
.../class-use/NotAliveException._Fields.html | 237 +
.../generated/class-use/NotAliveException.html | 946 +
.../generated/class-use/NullStruct._Fields.html | 237 +
.../storm/generated/class-use/NullStruct.html | 259 +
.../storm/generated/class-use/NumErrorsChoice.html | 201 +
.../class-use/OwnerResourceSummary._Fields.html | 237 +
.../generated/class-use/OwnerResourceSummary.html | 382 +
.../class-use/PrivateWorkerKey._Fields.html | 237 +
.../generated/class-use/PrivateWorkerKey.html | 256 +
.../storm/generated/class-use/ProfileAction.html | 369 +
.../class-use/ProfileRequest._Fields.html | 237 +
.../storm/generated/class-use/ProfileRequest.html | 561 +
.../class-use/ReadableBlobMeta._Fields.html | 237 +
.../generated/class-use/ReadableBlobMeta.html | 421 +
.../class-use/RebalanceOptions._Fields.html | 237 +
.../generated/class-use/RebalanceOptions.html | 311 +
.../class-use/SettableBlobMeta._Fields.html | 237 +
.../generated/class-use/SettableBlobMeta.html | 567 +
.../generated/class-use/SharedMemory._Fields.html | 237 +
.../storm/generated/class-use/SharedMemory.html | 400 +
.../class-use/ShellComponent._Fields.html | 237 +
.../storm/generated/class-use/ShellComponent.html | 251 +
.../class-use/SpecificAggregateStats._Fields.html | 247 +
.../class-use/SpecificAggregateStats.html | 213 +
.../class-use/SpoutAggregateStats._Fields.html | 237 +
.../generated/class-use/SpoutAggregateStats.html | 211 +
.../generated/class-use/SpoutSpec._Fields.html | 237 +
.../storm/generated/class-use/SpoutSpec.html | 266 +
.../generated/class-use/SpoutStats._Fields.html | 237 +
.../storm/generated/class-use/SpoutStats.html | 211 +
.../class-use/StateSpoutSpec._Fields.html | 237 +
.../storm/generated/class-use/StateSpoutSpec.html | 267 +
.../generated/class-use/StormBase._Fields.html | 237 +
.../storm/generated/class-use/StormBase.html | 275 +
.../generated/class-use/StormTopology._Fields.html | 289 +
.../storm/generated/class-use/StormTopology.html | 2113 +
.../generated/class-use/StreamInfo._Fields.html | 237 +
.../storm/generated/class-use/StreamInfo.html | 362 +
.../generated/class-use/SubmitOptions._Fields.html | 237 +
.../storm/generated/class-use/SubmitOptions.html | 419 +
.../class-use/Supervisor.AsyncClient.Factory.html | 129 +
...syncClient.getLocalAssignmentForStorm_call.html | 129 +
.../class-use/Supervisor.AsyncClient.html | 169 +
...AsyncClient.sendSupervisorAssignments_call.html | 129 +
...cClient.sendSupervisorWorkerHeartbeat_call.html | 129 +
.../generated/class-use/Supervisor.AsyncIface.html | 194 +
....AsyncProcessor.getLocalAssignmentForStorm.html | 129 +
.../class-use/Supervisor.AsyncProcessor.html | 129 +
...r.AsyncProcessor.sendSupervisorAssignments.html | 129 +
...yncProcessor.sendSupervisorWorkerHeartbeat.html | 129 +
.../class-use/Supervisor.Client.Factory.html | 129 +
.../generated/class-use/Supervisor.Client.html | 196 +
.../generated/class-use/Supervisor.Iface.html | 287 +
...visor.Processor.getLocalAssignmentForStorm.html | 129 +
.../generated/class-use/Supervisor.Processor.html | 129 +
...rvisor.Processor.sendSupervisorAssignments.html | 129 +
...or.Processor.sendSupervisorWorkerHeartbeat.html | 129 +
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releases/2.2.1/javadocs/overview-tree.html | 4491 ++
releases/2.2.1/javadocs/package-list | 325 +
releases/2.2.1/javadocs/script.js | 30 +
releases/2.2.1/javadocs/serialized-form.html | 26497 +++++++
releases/2.2.1/javadocs/stylesheet.css | 615 +
releases/2.2.1/metrics_v2.md | 149 +
releases/2.2.1/nimbus-ha-design.md | 222 +
releases/2.2.1/storm-cassandra.md | 235 +
releases/2.2.1/storm-elasticsearch.md | 105 +
releases/2.2.1/storm-eventhubs.md | 40 +
releases/2.2.1/storm-hbase.md | 290 +
releases/2.2.1/storm-hdfs.md | 582 +
releases/2.2.1/storm-hive.md | 111 +
releases/2.2.1/storm-jdbc.md | 288 +
releases/2.2.1/storm-jms-example.md | 111 +
releases/2.2.1/storm-jms-spring.md | 25 +
releases/2.2.1/storm-jms.md | 33 +
releases/2.2.1/storm-kafka-client.md | 353 +
releases/2.2.1/storm-kinesis.md | 145 +
releases/2.2.1/storm-metricstore.md | 86 +
releases/2.2.1/storm-mongodb.md | 303 +
releases/2.2.1/storm-mqtt.md | 379 +
releases/2.2.1/storm-opentsdb.md | 56 +
releases/2.2.1/storm-pmml.md | 42 +
releases/2.2.1/storm-redis.md | 273 +
releases/2.2.1/storm-rocketmq.md | 98 +
releases/2.2.1/storm-solr.md | 190 +
releases/2.2.1/storm-sql-example.md | 294 +
releases/2.2.1/storm-sql-internal.md | 59 +
releases/2.2.1/storm-sql-reference.md | 1314 +
releases/2.2.1/storm-sql.md | 198 +
releases/2.2.1/windows-users-guide.md | 32 +
7489 files changed, 2180407 insertions(+), 17 deletions(-)
diff --git a/_posts/2021-10-11-storm221-released.md b/_posts/2021-10-11-storm221-released.md
new file mode 100644
index 0000000..0ca7f8b
--- /dev/null
+++ b/_posts/2021-10-11-storm221-released.md
@@ -0,0 +1,27 @@
+---
+layout: post
+title: Apache Storm 2.2.1 Released
+author: Ethan Li
+---
+
+The Apache Storm community is pleased to announce that version 2.2.1 has been released and is available from [the downloads page](/downloads.html).
+
+This is a maintenance release that includes a number of important bug fixes that improve Apache Storm's performance, stability and fault tolerance. We encourage users of previous versions to upgrade to this latest release.
+
+
+Thanks
+------
+Special thanks are due to all those who have contributed to Apache Storm -- whether through direct code contributions, documentation, bug reports, or helping other users on the mailing lists. Your efforts are much appreciated.
+
+
+Changes in this Release
+---------
+<h2>Bug</h2>
+<ul>
+<li>[<a href="https://issues.apache.org/jira/browse/STORM-3553">STORM-3553</a>] - Upgrade JQuery to 3.5.1</li>
+<li>[<a href="https://issues.apache.org/jira/browse/STORM-3663">STORM-3663</a>] - Topology with Mockito 1.x fails to run unit tests </li>
+<li>[<a href="https://issues.apache.org/jira/browse/STORM-3704">STORM-3704</a>] - Cosmetic: columns shifted in "Topology summary" table</li>
+<li>[<a href="https://issues.apache.org/jira/browse/STORM-3763">STORM-3763</a>] - Backpressure message ignored by the receiver caused the topology to not progress</li>
+<li>[<a href="https://issues.apache.org/jira/browse/STORM-3767">STORM-3767</a>] - NPE on getComponentPendingProfileActions </li>
+<li>[<a href="https://issues.apache.org/jira/browse/STORM-3785">STORM-3785</a>] - Rate metrics are wrongly divided by 1000000</li>
+</ul>
\ No newline at end of file
diff --git a/downloads.html b/downloads.html
index a457416..36a3eed 100644
--- a/downloads.html
+++ b/downloads.html
@@ -60,29 +60,29 @@ artifactId: storm-{component}
version: 2.3.0</pre>
<h3>Current 2.2.x Release</h3>
- The current 2.2.x release is 2.2.0. Source and binary distributions can be found below.
+ The current 2.2.x release is 2.2.1. Source and binary distributions can be found below.
- The list of changes for this release can be found <a href="https://www.apache.org/dist/storm/apache-storm-2.2.0/RELEASE_NOTES.html">here.</a>
+ The list of changes for this release can be found <a href="https://www.apache.org/dist/storm/apache-storm-2.2.1/RELEASE_NOTES.html">here.</a>
- <p><a href="releases/2.2.0/index.html">Documentation</a>
- <br/><a href="releases/2.2.0/javadocs/index.html">Javadocs</a></p>
+ <p><a href="releases/2.2.1/index.html">Documentation</a>
+ <br/><a href="releases/2.2.1/javadocs/index.html">Javadocs</a></p>
<ul>
- <li><a href="https://www.apache.org/dyn/closer.lua/storm/apache-storm-2.2.0/apache-storm-2.2.0.tar.gz">apache-storm-2.2.0.tar.gz</a>
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- [<a href="https://www.apache.org/dist/storm/apache-storm-2.2.0/apache-storm-2.2.0.tar.gz.sha512">SHA512</a>]
+ <li><a href="https://www.apache.org/dyn/closer.lua/storm/apache-storm-2.2.1/apache-storm-2.2.1.tar.gz">apache-storm-2.2.1.tar.gz</a>
+ [<a href="https://www.apache.org/dist/storm/apache-storm-2.2.1/apache-storm-2.2.1.tar.gz.asc">PGP</a>]
+ [<a href="https://www.apache.org/dist/storm/apache-storm-2.2.1/apache-storm-2.2.1.tar.gz.sha512">SHA512</a>]
</li>
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- [<a href="https://www.apache.org/dist/storm/apache-storm-2.2.0/apache-storm-2.2.0.zip.sha512">SHA512</a>]
+ <li><a href="https://www.apache.org/dyn/closer.lua/storm/apache-storm-2.2.1/apache-storm-2.2.1.zip">apache-storm-2.2.1.zip</a>
+ [<a href="https://www.apache.org/dist/storm/apache-storm-2.2.1/apache-storm-2.2.1.zip.asc">PGP</a>]
+ [<a href="https://www.apache.org/dist/storm/apache-storm-2.2.1/apache-storm-2.2.1.zip.sha512">SHA512</a>]
</li>
- <li><a href="https://www.apache.org/dyn/closer.lua/storm/apache-storm-2.2.0/apache-storm-2.2.0-src.tar.gz">apache-storm-2.2.0-src.tar.gz</a>
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- [<a href="https://www.apache.org/dist/storm/apache-storm-2.2.0/apache-storm-2.2.0-src.tar.gz.sha512">SHA512</a>]
+ <li><a href="https://www.apache.org/dyn/closer.lua/storm/apache-storm-2.2.1/apache-storm-2.2.1-src.tar.gz">apache-storm-2.2.1-src.tar.gz</a>
+ [<a href="https://www.apache.org/dist/storm/apache-storm-2.2.1/apache-storm-2.2.1-src.tar.gz.asc">PGP</a>]
+ [<a href="https://www.apache.org/dist/storm/apache-storm-2.2.1/apache-storm-2.2.1-src.tar.gz.sha512">SHA512</a>]
</li>
- <li><a href="https://www.apache.org/dyn/closer.lua/storm/apache-storm-2.2.0/apache-storm-2.2.0-src.zip">apache-storm-2.2.0-src.zip</a>
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- [<a href="https://www.apache.org/dist/storm/apache-storm-2.2.0/apache-storm-2.2.0-src.zip.sha512">SHA512</a>]
+ <li><a href="https://www.apache.org/dyn/closer.lua/storm/apache-storm-2.2.1/apache-storm-2.2.1-src.zip">apache-storm-2.2.1-src.zip</a>
+ [<a href="https://www.apache.org/dist/storm/apache-storm-2.2.1/apache-storm-2.2.1-src.zip.asc">PGP</a>]
+ [<a href="https://www.apache.org/dist/storm/apache-storm-2.2.1/apache-storm-2.2.1-src.zip.sha512">SHA512</a>]
</li>
</ul>
Apache Storm artifacts are hosted in <a href="https://search.maven.org/#search%7Cga%7C1%7Cg%3A%22org.apache.storm%22">Maven Central</a>. You can add Apache Storm as a dependency with the following coordinates:
@@ -90,7 +90,7 @@ version: 2.3.0</pre>
<pre>
groupId: <a href="https://search.maven.org/#search%7Cga%7C1%7Cg%3A%22org.apache.storm%22">org.apache.storm</a>
artifactId: storm-{component}
-version: 2.2.0</pre>
+version: 2.2.1</pre>
<h3>Current 2.1.x Release</h3>
The current 2.1.x release is 2.1.0. Source and binary distributions can be found below.
diff --git a/releases/2.2.1/Acking-framework-implementation.md b/releases/2.2.1/Acking-framework-implementation.md
new file mode 100644
index 0000000..f181e98
--- /dev/null
+++ b/releases/2.2.1/Acking-framework-implementation.md
@@ -0,0 +1,39 @@
+---
+title: Acking framework implementation
+layout: documentation
+documentation: true
+---
+
+[Storm's acker]({{page.git-blob-base}}/storm-client/src/jvm/org/apache/storm/daemon/Acker.java) tracks completion of each tupletree with a checksum hash: each time a tuple is sent, its value is XORed into the checksum, and each time a tuple is acked its value is XORed in again. If all tuples have been successfully acked, the checksum will be zero (the odds that the checksum will be zero otherwise are vanishingly small).
+
+You can read a bit more about the [reliability mechanism](Guaranteeing-message-processing.html#what-is-storms-reliability-api) elsewhere on the wiki -- this explains the internal details.
+
+### acker `execute()`
+
+The acker is actually a regular bolt. When a new tupletree is born, the spout sends the XORed edge-ids of each tuple recipient, which the acker records in its `pending` ledger. Every time an executor acks a tuple, the acker receives a partial checksum that is the XOR of the tuple's own edge-id (clearing it from the ledger) and the edge-id of each downstream tuple the executor emitted (thus entering them into the ledger).
+
+This is accomplished as follows.
+
+On a tick tuple, just advance pending tupletree checksums towards death and return. Otherwise, update or create the record for this tupletree:
+
+* on init: initialize with the given checksum value, and record the spout's id for later.
+* on ack: xor the partial checksum into the existing checksum value
+* on fail: just mark it as failed
+
+Next, put the record into the RotatingMap (thus resetting is countdown to expiry) and take action:
+
+* if the total checksum is zero, the tupletree is complete: remove it from the pending collection and notify the spout of success
+* if the tupletree has failed, it is also complete: remove it from the pending collection and notify the spout of failure
+
+Finally, pass on an ack of our own.
+
+### Pending tuples and the `RotatingMap`
+
+The acker stores pending tuples in a [`RotatingMap`]({{page.git-blob-base}}/storm-client/src/jvm/org/apache/storm/utils/RotatingMap.java), a simple device used in several places within Storm to efficiently time-expire a process.
+
+The RotatingMap behaves as a HashMap, and offers the same O(1) access guarantees.
+
+Internally, it holds several HashMaps ('buckets') of its own, each holding a cohort of records that will expire at the same time. Let's call the longest-lived bucket death row, and the most recent the nursery. Whenever a value is `.put()` to the RotatingMap, it is relocated to the nursery -- and removed from any other bucket it might have been in (effectively resetting its death clock).
+
+Whenever its owner calls `.rotate()`, the RotatingMap advances each cohort one step further towards expiration. (Typically, Storm objects call rotate on every receipt of a system tick stream tuple.) If there are any key-value pairs in the former death row bucket, the RotatingMap invokes a callback (given in the constructor) for each key-value pair, letting its owner take appropriate action (eg, failing a tuple.
+
diff --git a/releases/2.2.1/Classpath-handling.md b/releases/2.2.1/Classpath-handling.md
new file mode 100644
index 0000000..d48517e
--- /dev/null
+++ b/releases/2.2.1/Classpath-handling.md
@@ -0,0 +1,29 @@
+---
+title: Classpath Handling
+layout: documentation
+documentation: true
+---
+### Storm is an Application Container
+
+Storm provides an application container environment, a la Apache Tomcat, which creates potential for classpath conflicts between Storm and your application. The most common way of using Storm involves submitting an "uber JAR" containing your application code with all of its dependencies bundled in, and then Storm distributes this JAR to Worker nodes. Then Storm runs your application within a Storm process called a `Worker` -- thus the JVM's classpath contains the dependencies of your J [...]
+
+### Adding Extra Dependencies to Classpath
+
+You no longer *need* to bundle your dependencies into your topology and create an uber JAR, there are now facilities for separately handling your topology's dependencies. Furthermore, there are facilities for adding external dependencies into the Storm daemons.
+
+The `storm.py` launcher script allows you to include dependencies into the launched program's classpath via a few different mechanisms:
+
+1. The `--jar` and `--artifacts` options for the `storm jar` command: allow inclusion of non-bundled dependencies with your topology; i.e., allowing specification of JARs that were not bundled into the topology uber-jar. This is required when using the `storm sql` command, which constructs a topology automatically without needing you to write code and build a topology JAR.
+2. The `${STORM_DIR}/extlib/` and `${STORM_DIR}/extlib-daemon/` directories can have dependencies added to them for inclusion of plugins & 3rd-party libraries into the Storm daemons (e.g., Nimbus, UI, Supervisor, etc. -- use `extlib-daemon/`) and other commands launched via the `storm.py` script, e.g., `storm sql` and `storm jar` (use `extlib`). Notably, this means that the Storm Worker process does not include the `extlib-daemon/` directory into its classpath.
+3. The `STORM_EXT_CLASSPATH` and `STORM_EXT_CLASSPATH_DAEMON` environment variables provide a similar functionality as those directories, but allows the user to place their external dependencies in alternative locations.
+ * There is a wrinkle here: because the Supervisor daemon launches the Worker process, if you want `STORM_EXT_CLASSPATH` to impact your Workers, you will need to specify the `STORM_EXT_CLASSPATH` for the Supervisor daemon. That will allow the Supervisor to consult this environment variable as it constructs the classpath of the Worker processes.
+
+#### Which Facility to Choose?
+
+You might have noticed the overlap between the first mechanism and the others. If you consider the `--jar` / `--artifacts` option versus the `extlib/` / `STORM_EXT_CLASSPATH` it is not obvious which one you should choose for using dependencies with your Worker processes. i.e., both mechanisms allow including JARs to be used for running your Worker processes. Here is my understanding of the difference: `--jar` / `--artifacts` will result in the dependencies being used for running the `sto [...]
+
+### Abbreviation of Classpaths and Process Commands
+
+When the `storm.py` script launches a `java` command, it first constructs the classpath from the optional settings mentioned above, as well as including some default locations such as the `${STORM_DIR}/`, `${STORM_DIR}/lib/`, `${STORM_DIR}/extlib/` and `${STORM_DIR}/extlib-daemon/` directories. In past releases, Storm would enumerate all JARs in those directories and then explicitly add all of those JARs into the `-cp` / `--classpath` argument to the launched `java` commands. As such, [...]
+
+After Storm dropped support for Java 5, this classpath expansion was no longer necessary, because Java 6 supports classpath wildcards. Classpath wildcards allow you to specify a directory ending with a `*` element, such as `foo/bar/*`, and the JVM will automatically expand the classpath to include all `.jar` files in the wildcard directory. As of [STORM-2191](https://issues.apache.org/jira/browse/STORM-2191) Storm just uses classpath wildcards instead of explicitly listing all JARs, the [...]
diff --git a/releases/2.2.1/Clojure-DSL.md b/releases/2.2.1/Clojure-DSL.md
new file mode 100644
index 0000000..56bb54f
--- /dev/null
+++ b/releases/2.2.1/Clojure-DSL.md
@@ -0,0 +1,266 @@
+---
+title: Clojure DSL
+layout: documentation
+documentation: true
+---
+Storm offers a Clojure DSL through the storm-clojure package for defining spouts, bolts, and topologies. The Clojure DSL has access to everything the Java API exposes, so if you're a Clojure user you can code Storm topologies without touching Java at all. The Clojure DSL is defined in the source in the [org.apache.storm.clojure]({{page.git-blob-base}}/storm-clojure/src/clj/org/apache/storm/clojure.clj) namespace.
+
+This page outlines all the pieces of the Clojure DSL, including:
+
+1. Defining topologies
+2. `defbolt`
+3. `defspout`
+4. Running topologies in local mode or on a cluster
+5. Testing topologies
+
+### Defining topologies
+
+To define a topology, use the `topology` function. `topology` takes in two arguments: a map of "spout specs" and a map of "bolt specs". Each spout and bolt spec wires the code for the component into the topology by specifying things like inputs and parallelism.
+
+Let's take a look at an example topology definition [from the storm-starter project]({{page.git-blob-base}}/examples/storm-starter/src/clj/org/apache/storm/starter/clj/word_count.clj):
+
+```clojure
+(topology
+ {"1" (spout-spec sentence-spout)
+ "2" (spout-spec (sentence-spout-parameterized
+ ["the cat jumped over the door"
+ "greetings from a faraway land"])
+ :p 2)}
+ {"3" (bolt-spec {"1" :shuffle "2" :shuffle}
+ split-sentence
+ :p 5)
+ "4" (bolt-spec {"3" ["word"]}
+ word-count
+ :p 6)})
+```
+
+The maps of spout and bolt specs are maps from the component id to the corresponding spec. The component ids must be unique across the maps. Just like defining topologies in Java, component ids are used when declaring inputs for bolts in the topology.
+
+#### spout-spec
+
+`spout-spec` takes as arguments the spout implementation (an object that implements [IRichSpout](javadocs/org/apache/storm/topology/IRichSpout.html)) and optional keyword arguments. The only option that exists currently is the `:p` option, which specifies the parallelism for the spout. If you omit `:p`, the spout will execute as a single task.
+
+#### bolt-spec
+
+`bolt-spec` takes as arguments the input declaration for the bolt, the bolt implementation (an object that implements [IRichBolt](javadocs/org/apache/storm/topology/IRichBolt.html)), and optional keyword arguments.
+
+The input declaration is a map from stream ids to stream groupings. A stream id can have one of two forms:
+
+1. `[==component id== ==stream id==]`: Subscribes to a specific stream on a component
+2. `==component id==`: Subscribes to the default stream on a component
+
+A stream grouping can be one of the following:
+
+1. `:shuffle`: subscribes with a shuffle grouping
+2. Vector of field names, like `["id" "name"]`: subscribes with a fields grouping on the specified fields
+3. `:global`: subscribes with a global grouping
+4. `:all`: subscribes with an all grouping
+5. `:direct`: subscribes with a direct grouping
+
+See [Concepts](Concepts.html) for more info on stream groupings. Here's an example input declaration showcasing the various ways to declare inputs:
+
+```clojure
+{["2" "1"] :shuffle
+ "3" ["field1" "field2"]
+ ["4" "2"] :global}
+```
+
+This input declaration subscribes to three streams total. It subscribes to stream "1" on component "2" with a shuffle grouping, subscribes to the default stream on component "3" with a fields grouping on the fields "field1" and "field2", and subscribes to stream "2" on component "4" with a global grouping.
+
+Like `spout-spec`, the only current supported keyword argument for `bolt-spec` is `:p` which specifies the parallelism for the bolt.
+
+#### shell-bolt-spec
+
+`shell-bolt-spec` is used for defining bolts that are implemented in a non-JVM language. It takes as arguments the input declaration, the command line program to run, the name of the file implementing the bolt, an output specification, and then the same keyword arguments that `bolt-spec` accepts.
+
+Here's an example `shell-bolt-spec`:
+
+```clojure
+(shell-bolt-spec {"1" :shuffle "2" ["id"]}
+ "python"
+ "mybolt.py"
+ ["outfield1" "outfield2"]
+ :p 25)
+```
+
+The syntax of output declarations is described in more detail in the `defbolt` section below. See [Using non JVM languages with Storm](Using-non-JVM-languages-with-Storm.html) for more details on how multilang works within Storm.
+
+### defbolt
+
+`defbolt` is used for defining bolts in Clojure. Bolts have the constraint that they must be serializable, and this is why you can't just reify `IRichBolt` to implement a bolt (closures aren't serializable). `defbolt` works around this restriction and provides a nicer syntax for defining bolts than just implementing a Java interface.
+
+At its fullest expressiveness, `defbolt` supports parameterized bolts and maintaining state in a closure around the bolt implementation. It also provides shortcuts for defining bolts that don't need this extra functionality. The signature for `defbolt` looks like the following:
+
+(defbolt _name_ _output-declaration_ *_option-map_ & _impl_)
+
+Omitting the option map is equivalent to having an option map of `{:prepare false}`.
+
+#### Simple bolts
+
+Let's start with the simplest form of `defbolt`. Here's an example bolt that splits a tuple containing a sentence into a tuple for each word:
+
+```clojure
+(defbolt split-sentence ["word"] [tuple collector]
+ (let [words (.split (.getString tuple 0) " ")]
+ (doseq [w words]
+ (emit-bolt! collector [w] :anchor tuple))
+ (ack! collector tuple)
+ ))
+```
+
+Since the option map is omitted, this is a non-prepared bolt. The DSL simply expects an implementation for the `execute` method of `IRichBolt`. The implementation takes two parameters, the tuple and the `OutputCollector`, and is followed by the body of the `execute` function. The DSL automatically type-hints the parameters for you so you don't need to worry about reflection if you use Java interop.
+
+This implementation binds `split-sentence` to an actual `IRichBolt` object that you can use in topologies, like so:
+
+```clojure
+(bolt-spec {"1" :shuffle}
+ split-sentence
+ :p 5)
+```
+
+
+#### Parameterized bolts
+
+Many times you want to parameterize your bolts with other arguments. For example, let's say you wanted to have a bolt that appends a suffix to every input string it receives, and you want that suffix to be set at runtime. You do this with `defbolt` by including a `:params` option in the option map, like so:
+
+```clojure
+(defbolt suffix-appender ["word"] {:params [suffix]}
+ [tuple collector]
+ (emit-bolt! collector [(str (.getString tuple 0) suffix)] :anchor tuple)
+ )
+```
+
+Unlike the previous example, `suffix-appender` will be bound to a function that returns an `IRichBolt` rather than be an `IRichBolt` object directly. This is caused by specifying `:params` in its option map. So to use `suffix-appender` in a topology, you would do something like:
+
+```clojure
+(bolt-spec {"1" :shuffle}
+ (suffix-appender "-suffix")
+ :p 10)
+```
+
+#### Prepared bolts
+
+To do more complex bolts, such as ones that do joins and streaming aggregations, the bolt needs to store state. You can do this by creating a prepared bolt which is specified by including `{:prepare true}` in the option map. Consider, for example, this bolt that implements word counting:
+
+```clojure
+(defbolt word-count ["word" "count"] {:prepare true}
+ [conf context collector]
+ (let [counts (atom {})]
+ (bolt
+ (execute [tuple]
+ (let [word (.getString tuple 0)]
+ (swap! counts (partial merge-with +) {word 1})
+ (emit-bolt! collector [word (@counts word)] :anchor tuple)
+ (ack! collector tuple)
+ )))))
+```
+
+The implementation for a prepared bolt is a function that takes as input the topology config, `TopologyContext`, and `OutputCollector`, and returns an implementation of the `IBolt` interface. This design allows you to have a closure around the implementation of `execute` and `cleanup`.
+
+In this example, the word counts are stored in the closure in a map called `counts`. The `bolt` macro is used to create the `IBolt` implementation. The `bolt` macro is a more concise way to implement the interface than reifying, and it automatically type-hints all of the method parameters. This bolt implements the execute method which updates the count in the map and emits the new word count.
+
+Note that the `execute` method in prepared bolts only takes as input the tuple since the `OutputCollector` is already in the closure of the function (for simple bolts the collector is a second parameter to the `execute` function).
+
+Prepared bolts can be parameterized just like simple bolts.
+
+#### Output declarations
+
+The Clojure DSL has a concise syntax for declaring the outputs of a bolt. The most general way to declare the outputs is as a map from stream id a stream spec. For example:
+
+```clojure
+{"1" ["field1" "field2"]
+ "2" (direct-stream ["f1" "f2" "f3"])
+ "3" ["f1"]}
+```
+
+The stream id is a string, while the stream spec is either a vector of fields or a vector of fields wrapped by `direct-stream`. `direct stream` marks the stream as a direct stream (See [Concepts](Concepts.html) and [Direct groupings]() for more details on direct streams).
+
+If the bolt only has one output stream, you can define the default stream of the bolt by using a vector instead of a map for the output declaration. For example:
+
+```clojure
+["word" "count"]
+```
+This declares the output of the bolt as the fields ["word" "count"] on the default stream id.
+
+#### Emitting, acking, and failing
+
+Rather than use the Java methods on `OutputCollector` directly, the DSL provides a nicer set of functions for using `OutputCollector`: `emit-bolt!`, `emit-direct-bolt!`, `ack!`, and `fail!`.
+
+1. `emit-bolt!`: takes as parameters the `OutputCollector`, the values to emit (a Clojure sequence), and keyword arguments for `:anchor` and `:stream`. `:anchor` can be a single tuple or a list of tuples, and `:stream` is the id of the stream to emit to. Omitting the keyword arguments emits an unanchored tuple to the default stream.
+2. `emit-direct-bolt!`: takes as parameters the `OutputCollector`, the task id to send the tuple to, the values to emit, and keyword arguments for `:anchor` and `:stream`. This function can only emit to streams declared as direct streams.
+2. `ack!`: takes as parameters the `OutputCollector` and the tuple to ack.
+3. `fail!`: takes as parameters the `OutputCollector` and the tuple to fail.
+
+See [Guaranteeing message processing](Guaranteeing-message-processing.html) for more info on acking and anchoring.
+
+### defspout
+
+`defspout` is used for defining spouts in Clojure. Like bolts, spouts must be serializable so you can't just reify `IRichSpout` to do spout implementations in Clojure. `defspout` works around this restriction and provides a nicer syntax for defining spouts than just implementing a Java interface.
+
+The signature for `defspout` looks like the following:
+
+(defspout _name_ _output-declaration_ *_option-map_ & _impl_)
+
+If you leave out the option map, it defaults to {:prepare true}. The output declaration for `defspout` has the same syntax as `defbolt`.
+
+Here's an example `defspout` implementation from [storm-starter]({{page.git-blob-base}}/examples/storm-starter/src/clj/org/apache/storm/starter/clj/word_count.clj):
+
+```clojure
+(defspout sentence-spout ["sentence"]
+ [conf context collector]
+ (let [sentences ["a little brown dog"
+ "the man petted the dog"
+ "four score and seven years ago"
+ "an apple a day keeps the doctor away"]]
+ (spout
+ (nextTuple []
+ (Thread/sleep 100)
+ (emit-spout! collector [(rand-nth sentences)])
+ )
+ (ack [id]
+ ;; You only need to define this method for reliable spouts
+ ;; (such as one that reads off of a queue like Kestrel)
+ ;; This is an unreliable spout, so it does nothing here
+ ))))
+```
+
+The implementation takes in as input the topology config, `TopologyContext`, and `SpoutOutputCollector`. The implementation returns an `ISpout` object. Here, the `nextTuple` function emits a random sentence from `sentences`.
+
+This spout isn't reliable, so the `ack` and `fail` methods will never be called. A reliable spout will add a message id when emitting tuples, and then `ack` or `fail` will be called when the tuple is completed or failed respectively. See [Guaranteeing message processing](Guaranteeing-message-processing.html) for more info on how reliability works within Storm.
+
+`emit-spout!` takes in as parameters the `SpoutOutputCollector` and the new tuple to be emitted, and accepts as keyword arguments `:stream` and `:id`. `:stream` specifies the stream to emit to, and `:id` specifies a message id for the tuple (used in the `ack` and `fail` callbacks). Omitting these arguments emits an unanchored tuple to the default output stream.
+
+There is also a `emit-direct-spout!` function that emits a tuple to a direct stream and takes an additional argument as the second parameter of the task id to send the tuple to.
+
+Spouts can be parameterized just like bolts, in which case the symbol is bound to a function returning `IRichSpout` instead of the `IRichSpout` itself. You can also declare an unprepared spout which only defines the `nextTuple` method. Here is an example of an unprepared spout that emits random sentences parameterized at runtime:
+
+```clojure
+(defspout sentence-spout-parameterized ["word"] {:params [sentences] :prepare false}
+ [collector]
+ (Thread/sleep 500)
+ (emit-spout! collector [(rand-nth sentences)]))
+```
+
+The following example illustrates how to use this spout in a `spout-spec`:
+
+```clojure
+(spout-spec (sentence-spout-parameterized
+ ["the cat jumped over the door"
+ "greetings from a faraway land"])
+ :p 2)
+```
+
+### Running topologies in local mode or on a cluster
+
+That's all there is to the Clojure DSL. To submit topologies in remote mode or local mode, just use the `StormSubmitter` class just like you would from Java.
+
+To create topology configs, it's easiest to use the `org.apache.storm.config` namespace which defines constants for all of the possible configs. The constants are the same as the static constants in the `Config` class, except with dashes instead of underscores. For example, here's a topology config that sets the number of workers to 15 and configures the topology in debug mode:
+
+```clojure
+{TOPOLOGY-DEBUG true
+ TOPOLOGY-WORKERS 15}
+```
+
+### Testing topologies
+
+[This blog post](http://www.pixelmachine.org/2011/12/17/Testing-Storm-Topologies.html) and its [follow-up](http://www.pixelmachine.org/2011/12/21/Testing-Storm-Topologies-Part-2.html) give a good overview of Storm's powerful built-in facilities for testing topologies in Clojure.
diff --git a/releases/2.2.1/ClusterMetrics.md b/releases/2.2.1/ClusterMetrics.md
new file mode 100644
index 0000000..c7e9b69
--- /dev/null
+++ b/releases/2.2.1/ClusterMetrics.md
@@ -0,0 +1,261 @@
+---
+title: Cluster Metrics
+layout: documentation
+documentation: true
+---
+
+#Cluster Metrics
+
+There are lots of metrics to help you monitor a running cluster. Many of these metrics are still a work in progress and so is the metrics system itself so any of them may change, even between minor version releases. We will try to keep them as stable as possible, but they should all be considered somewhat unstable. Some of the metrics may also be for experimental features, or features that are not complete yet, so please read the description of the metric before using it for monitoring [...]
+
+Also be aware that depending on the metrics system you use, the names are likely to be translated into a different format that is compatible with the system. Typically this means that the ':' separating character will be replaced with a '.' character.
+
+Most metrics should have the units that they are reported in as a part of the description. For Timers often this is configured by the reporter that is uploading them to your system. Pay attention because even if the metric name has a time unit in it, it may be false.
+
+Also most metrics, except for gauges and counters, are a collection of numbers, and not a single value. Often these result in multiple metrics being uploaded to a reporting system, such as percentiles for a histogram, or rates for a meter. It is dependent on the configured metrics reporter how this happens, or how the name here corresponds to the metric in your reporting system.
+
+## Cluster Metrics (From Nimbus)
+
+These are metrics that come from the active nimbus instance and report the state of the cluster as a whole, as seen by nimbus.
+
+| Metric Name | Type | Description |
+|-------------|------|-------------|
+| cluster:num-nimbus-leaders | gauge | Number of nimbuses marked as a leader. This should really only ever be 1 in a healthy cluster, or 0 for a short period of time while a failover happens. |
+| cluster:num-nimbuses | gauge | Number of nimbuses, leader or standby. |
+| cluster:num-supervisors | gauge | Number of supervisors. |
+| cluster:num-topologies | gauge | Number of topologies. |
+| cluster:num-total-used-workers | gauge | Number of used workers/slots. |
+| cluster:num-total-workers | gauge | Number of workers/slots. |
+| cluster:total-fragmented-cpu-non-negative | gauge | Total fragmented CPU (% of core). This is CPU that the system thinks it cannot use because other resources on the node are used up. |
+| cluster:total-fragmented-memory-non-negative | gauge | Total fragmented memory (MB). This is memory that the system thinks it cannot use because other resources on the node are used up. |
+| topologies:assigned-cpu | histogram | CPU scheduled per topology (% of a core) |
+| topologies:assigned-mem-off-heap | histogram | Off heap memory scheduled per topology (MB) |
+| topologies:assigned-mem-on-heap | histogram | On heap memory scheduled per topology (MB) |
+| topologies:num-executors | histogram | Number of executors per topology. |
+| topologies:num-tasks | histogram | Number of tasks per topology. |
+| topologies:num-workers | histogram | Number of workers per topology. |
+| topologies:replication-count | histogram | Replication count per topology. |
+| topologies:requested-cpu | histogram | CPU requested per topology (% of a core). |
+| topologies:requested-mem-off-heap | histogram | Off heap memory requested per topology (MB). |
+| topologies:requested-mem-on-heap | histogram | On heap memory requested per topology (MB). |
+| topologies:uptime-secs | histogram | Uptime per topology (seconds). |
+| nimbus:available-cpu-non-negative | gauge | Available cpu on the cluster (% of a core). |
+| nimbus:total-cpu | gauge | total CPU on the cluster (% of a core) |
+| nimbus:total-memory | gauge | total memory on the cluster MB |
+| supervisors:fragmented-cpu | histogram | fragmented cpu per supervisor (% of a core) |
+| supervisors:fragmented-mem | histogram | fragmented memory per supervisor (MB) |
+| supervisors:num-used-workers | histogram | workers used per supervisor |
+| supervisors:num-workers | histogram | number of workers per supervisor |
+| supervisors:uptime-secs | histogram | uptime of supervisors |
+| supervisors:used-cpu | histogram | cpu used per supervisor (% of a core) |
+| supervisors:used-mem | histogram | memory used per supervisor MB |
+
+## Nimbus Metrics
+
+These are metrics that are specific to a nimbus instance. In many instances only the active nimbus will be reporting these metrics, but they could come from standby nimbus instances as well.
+
+| Metric Name | Type | Description |
+|-------------|------|-------------|
+| nimbus:files-upload-duration-ms | timer | Time it takes to upload a file from start to finish (Not Blobs, but this may change) |
+| nimbus:longest-scheduling-time-ms | gauge | Longest time ever taken so far to schedule. This includes the current scheduling run, which is intended to detect if scheduling is stuck for some reason. |
+| nimbus:mkAssignments-Errors | meter | tracks exceptions from mkAssignments |
+| nimbus:num-activate-calls | meter | calls to the activate thrift method. |
+| nimbus:num-added-executors-per-scheduling | histogram | number of executors added after a scheduling run. |
+| nimbus:num-added-slots-per-scheduling | histogram | number of slots added after a scheduling run. |
+| nimbus:num-beginFileUpload-calls | meter | calls to the beginFileUpload thrift method. |
+| nimbus:num-blacklisted-supervisor | gauge | Number of supervisors currently marked as blacklisted because they appear to be somewhat unstable. |
+| nimbus:num-deactivate-calls | meter | calls to deactivate thrift method. |
+| nimbus:num-debug-calls | meter | calls to debug thrift method.|
+| nimbus:num-downloadChunk-calls | meter | calls to downloadChunk thrift method. |
+| nimbus:num-finishFileUpload-calls | meter | calls to finishFileUpload thrift method.|
+| nimbus:num-gained-leadership | meter | number of times this nimbus gained leadership. |
+| nimbus:num-getClusterInfo-calls | meter | calls to getClusterInfo thrift method. |
+| nimbus:num-getComponentPageInfo-calls | meter | calls to getComponentPageInfo thrift method. |
+| nimbus:num-getComponentPendingProfileActions-calls | meter | calls to getComponentPendingProfileActions thrift method. |
+| nimbus:num-getLeader-calls | meter | calls to getLeader thrift method. |
+| nimbus:num-getLogConfig-calls | meter | calls to getLogConfig thrift method. |
+| nimbus:num-getNimbusConf-calls | meter | calls to getNimbusConf thrift method. |
+| nimbus:num-getOwnerResourceSummaries-calls | meter | calls to getOwnerResourceSummaries thrift method. |
+| nimbus:num-getSupervisorPageInfo-calls | meter | calls to getSupervisorPageInfo thrift method. |
+| nimbus:num-getTopology-calls | meter | calls to getTopology thrift method. |
+| nimbus:num-getTopologyConf-calls | meter | calls to getTopologyConf thrift method. |
+| nimbus:num-getTopologyInfo-calls | meter | calls to getTopologyInfo thrift method. |
+| nimbus:num-getTopologyInfoWithOpts-calls | meter | calls to getTopologyInfoWithOpts thrift method includes calls to getTopologyInfo. |
+| nimbus:num-getTopologyPageInfo-calls | meter | calls to getTopologyPageInfo thrift method. |
+| nimbus:num-getUserTopology-calls | meter | calls to getUserTopology thrift method. |
+| nimbus:num-isTopologyNameAllowed-calls | meter | calls to isTopologyNameAllowed thrift method. |
+| nimbus:num-killTopology-calls | meter | calls to killTopology thrift method. |
+| nimbus:num-killTopologyWithOpts-calls | meter | calls to killTopologyWithOpts thrift method includes calls to killTopology. |
+| nimbus:num-launched | meter | number of times a nimbus was launched |
+| nimbus:num-lost-leadership | meter | number of times this nimbus lost leadership |
+| nimbus:num-negative-resource-events | meter | Any time a resource goes negative (either CPU or Memory). This metric is not ideal as it is measured in a data structure that is used for internal calculations that may go negative and not actually represent over scheduling of a resource. |
+| nimbus:num-net-executors-increase-per-scheduling | histogram | added executors minus removed executors after a scheduling run |
+| nimbus:num-net-slots-increase-per-scheduling | histogram | added slots minus removed slots after a scheduling run |
+| nimbus:num-rebalance-calls | meter | calls to rebalance thrift method. |
+| nimbus:num-removed-executors-per-scheduling | histogram | number of executors removed after a scheduling run |
+| nimbus:num-scheduling-timeouts | meter | number of timeouts during scheduling |
+| nimbus:num-removed-slots-per-scheduling | histogram | number of slots removed after a scheduling run |
+| nimbus:num-setLogConfig-calls | meter | calls to setLogConfig thrift method. |
+| nimbus:num-setWorkerProfiler-calls | meter | calls to setWorkerProfiler thrift method. |
+| nimbus:num-shutdown-calls | meter | times nimbus is shut down (this may not actually be reported as nimbus is in the middle of shutting down) |
+| nimbus:num-submitTopology-calls | meter | calls to submitTopology thrift method. |
+| nimbus:num-submitTopologyWithOpts-calls | meter | calls to submitTopologyWithOpts thrift method includes calls to submitTopology. |
+| nimbus:num-uploadChunk-calls | meter | calls to uploadChunk thrift method. |
+| nimbus:num-uploadNewCredentials-calls | meter | calls to uploadNewCredentials thrift method. |
+| nimbus:process-worker-metric-calls | meter | calls to processWorkerMetrics thrift method. |
+| nimbus:scheduler-internal-errors | meter | tracks internal scheduling errors |
+| nimbus:topology-scheduling-duration-ms | timer | time it takes to do a scheduling run. |
+| nimbus:total-available-memory-non-negative | gauge | available memory on the cluster MB |
+| nimbuses:uptime-secs | histogram | uptime of nimbuses |
+| MetricsCleaner:purgeTimestamp | gauge | last time metrics were purged (Unfinished Feature) |
+| RocksDB:metric-failures | meter | generally any failure that happens in the rocksdb metrics store. (Unfinished Feature) |
+
+
+## DRPC Metrics
+
+Metrics related to DRPC servers.
+
+| Metric Name | Type | Description |
+|-------------|------|-------------|
+| drpc:HTTP-request-response-duration | timer | how long it takes to execute an http drpc request |
+| drpc:num-execute-calls | meter | calls to execute a DRPC request |
+| drpc:num-execute-http-requests | meter | http requests to the DRPC server |
+| drpc:num-failRequest-calls | meter | calls to failRequest |
+| drpc:num-fetchRequest-calls | meter | calls to fetchRequest |
+| drpc:num-result-calls | meter | calls to returnResult |
+| drpc:num-server-timedout-requests | meter | times a DRPC request timed out without a response |
+| drpc:num-shutdown-calls | meter | number of times shutdown is called on the drpc server |
+
+## Logviewer Metrics
+
+Metrics related to the logviewer process. This process currently also handles cleaning up worker logs when they get too large or too old.
+
+| Metric Name | Type | Description |
+|-------------|------|-------------|
+| logviewer:cleanup-routine-duration-ms | timer | how long it takes to run the log cleanup routine |
+| logviewer:deep-search-request-duration-ms | timer | how long it takes for /deepSearch/{topoId} |
+| logviewer:disk-space-freed-in-bytes | histogram | number of bytes cleaned up each time through the cleanup routine. |
+| logviewer:download-file-size-rounded-MB | histogram | size in MB of files being downloaded |
+| logviewer:num-daemonlog-page-http-requests | meter | calls to /daemonlog |
+| logviewer:num-deep-search-no-result | meter | number of deep search requests that did not return any results |
+| logviewer:num-deep-search-requests-with-archived | meter | calls to /deepSearch/{topoId} with ?search-archived=true |
+| logviewer:num-deep-search-requests-without-archived | meter | calls to /deepSearch/{topoId} with ?search-archived=false |
+| logviewer:num-download-daemon-log-exceptions | meter | num errors in calls to /daemondownload |
+| logviewer:num-download-dump-exceptions | meter | num errors in calls to /dumps/{topo-id}/{host-port}/{filename} |
+| logviewer:num-download-log-daemon-file-http-requests | meter | calls to /daemondownload |
+| logviewer:num-download-log-exceptions | meter | num errors in calls to /download |
+| logviewer:num-download-log-file-http-requests | meter | calls to /download |
+| logviewer:num-file-download-exceptions | meter | errors while trying to download files. |
+| logviewer:num-file-download-exceptions | meter | number of exceptions trying to download a log file |
+| logviewer:num-file-open-exceptions | meter | errors trying to open a file (when deleting logs) |
+| logviewer:num-file-open-exceptions | meter | number of exceptions trying to open a log file for serving |
+| logviewer:num-file-read-exceptions | meter | number of exceptions trying to read from a log file for serving |
+| logviewer:num-file-removal-exceptions | meter | number of exceptions trying to cleanup files. |
+| logviewer:num-files-cleaned-up | histogram | number of files cleaned up each time through the cleanup routine. |
+| logviewer:num-files-scanned-per-deep-search | histogram | number of files scanned per deep search |
+| logviewer:num-list-dump-files-exceptions | meter | num errors in calls to /dumps/{topo-id}/{host-port} |
+| logviewer:num-list-logs-http-request | meter | calls to /listLogs |
+| logviewer:num-log-page-http-requests | meter | calls to /log |
+| logviewer:num-other-cleanup-exceptions | meter | number of exception in the cleanup loop, not directly deleting files. |
+| logviewer:num-page-read | meter | number of pages (parts of a log file) that are served up |
+| logviewer:num-read-daemon-log-exceptions | meter | num errors in calls to /daemonlog |
+| logviewer:num-read-log-exceptions | meter | num errors in calls to /log |
+| logviewer:num-search-exceptions | meter | num errors in calls to /search |
+| logviewer:num-search-log-exceptions | meter | num errors in calls to /listLogs |
+| logviewer:num-search-logs-requests | meter | calls to /search |
+| logviewer:num-search-request-no-result | meter | number of regular search results that were empty |
+| logviewer:num-set-permission-exceptions | meter | num errors running set permissions to open up files for reading. |
+| logviewer:num-shutdown-calls | meter | number of times shutdown was called on the logviewer |
+| logviewer:search-requests-duration-ms | timer | how long it takes for /search |
+| logviewer:worker-log-dir-size | gauge | size in bytes of the worker logs directory. |
+
+## Supervisor Metrics
+
+Metrics associated with the supervisor, which launches the workers for a topology. The supervisor also has a state machine for each slot. Some of the metrics are associated with that state machine and can be confusing if you do not understand the state machine.
+
+| Metric Name | Type | Description |
+|-------------|------|-------------|
+| supervisor:blob-cache-update-duration | timer | how long it takes to update all of the blobs in the cache (frequently just check if they have changed, but may also include downloading them.) |
+| supervisor:blob-fetching-rate-MB/s | histogram | Download rate of a blob in MB/sec. Blobs are downloaded rarely so it is very bursty. |
+| supervisor:blob-localization-duration | timer | Approximately how long it takes to get the blob we want after it is requested. |
+| supervisor:current-reserved-memory-mb | gauge | total amount of memory reserved for workers on the supervisor (MB) |
+| supervisor:current-used-memory-mb | gauge | memory currently used as measured by the supervisor (this typically requires cgroups) (MB) |
+| supervisor:local-resource-file-not-found-when-releasing-slot | meter | number of times file-not-found exception happens when reading local blobs upon releasing slots |
+| supervisor:num-blob-update-version-changed | meter | number of times a version of a blob changes. |
+| supervisor:num-cleanup-exceptions | meter | exceptions thrown during container cleanup. |
+| supervisor:num-force-kill-exceptions | meter | exceptions thrown during force kill. |
+| supervisor:num-kill-exceptions | meter | exceptions thrown during kill. |
+| supervisor:num-launched | meter | number of times the supervisor is launched. |
+| supervisor:num-shell-exceptions | meter | number of exceptions calling shell commands. |
+| supervisor:num-slots-used-gauge | gauge | number of slots used on the supervisor. |
+| supervisor:num-worker-start-timed-out | meter | number of times worker start timed out. |
+| supervisor:num-worker-transitions-into-empty | meter | number of transitions into empty state. |
+| supervisor:num-worker-transitions-into-kill | meter | number of transitions into kill state. |
+| supervisor:num-worker-transitions-into-kill-and-relaunch | meter | number of transitions into kill-and-relaunch state |
+| supervisor:num-worker-transitions-into-kill-blob-update | meter | number of transitions into kill-blob-update state |
+| supervisor:num-worker-transitions-into-running | meter | number of transitions into running state |
+| supervisor:num-worker-transitions-into-waiting-for-blob-localization | meter | number of transitions into waiting-for-blob-localization state |
+| supervisor:num-worker-transitions-into-waiting-for-blob-update | meter | number of transitions into waiting-for-blob-update state |
+| supervisor:num-worker-transitions-into-waiting-for-worker-start | meter | number of transitions into waiting-for-worker-start state |
+| supervisor:num-workers-force-kill | meter | number of times a worker was force killed. This may mean that the worker did not exit cleanly/quickly. |
+| supervisor:num-workers-killed-assignment-changed | meter | workers killed because the assignment changed. |
+| supervisor:num-workers-killed-blob-changed | meter | workers killed because the blob changed and they needed to be relaunched. |
+| supervisor:num-workers-killed-hb-null | meter | workers killed because there was no hb at all from the worker. This would typically only happen when a worker is launched for the first time. |
+| supervisor:num-workers-killed-hb-timeout | meter | workers killed because the hb from the worker was too old. This often happens because of GC issues in the worker that prevents it from sending a heartbeat, but could also mean the worker process exited, and the supervisor is not the parent of the process to know that it exited. |
+| supervisor:num-workers-killed-memory-violation | meter | workers killed because the worker was using too much memory. If the supervisor can monitor memory usage of the worker (typically through cgroups) and the worker goes over the limit it may be shot. |
+| supervisor:num-workers-killed-process-exit | meter | workers killed because the process exited and the supervisor was the parent process |
+| supervisor:num-workers-launched | meter | number of workers launched |
+| supervisor:single-blob-localization-duration | timer | how long it takes for a blob to be updated (downloaded, unzipped, inform slots, and make the move) |
+| supervisor:time-worker-spent-in-state-empty-ms | timer | time spent in empty state as it transitions out. Not necessarily in ms. |
+| supervisor:time-worker-spent-in-state-kill-and-relaunch-ms | timer | time spent in kill-and-relaunch state as it transitions out. Not necessarily in ms. |
+| supervisor:time-worker-spent-in-state-kill-blob-update-ms | timer | time spent in kill-blob-update state as it transitions out. Not necessarily in ms. |
+| supervisor:time-worker-spent-in-state-kill-ms | timer | time spent in kill state as it transitions out. Not necessarily in ms. |
+| supervisor:time-worker-spent-in-state-running-ms | timer | time spent in running state as it transitions out. Not necessarily in ms. |
+| supervisor:time-worker-spent-in-state-waiting-for-blob-localization-ms | timer | time spent in waiting-for-blob-localization state as it transitions out. Not necessarily in ms. |
+| supervisor:time-worker-spent-in-state-waiting-for-blob-update-ms | timer | time spent in waiting-for-blob-update state as it transitions out. Not necessarily in ms. |
+| supervisor:time-worker-spent-in-state-waiting-for-worker-start-ms | timer | time spent in waiting-for-worker-start state as it transitions out. Not necessarily in ms. |
+| supervisor:worker-launch-duration | timer | Time taken for a worker to launch. |
+| supervisor:worker-per-call-clean-up-duration-ns | meter | how long it takes to cleanup a worker (ns). |
+| supervisor:worker-shutdown-duration-ns | meter | how long it takes to shutdown a worker (ns). |
+
+
+## UI Metrics
+
+Metrics associated with a single UI daemon.
+
+| Metric Name | Type | Description |
+|-------------|------|-------------|
+| ui:num-activate-topology-http-requests | meter | calls to /topology/{id}/activate |
+| ui:num-all-topologies-summary-http-requests | meter | calls to /topology/summary |
+| ui:num-build-visualization-http-requests | meter | calls to /topology/{id}/visualization |
+| ui:num-cluster-configuration-http-requests | meter | calls to /cluster/configuration |
+| ui:num-cluster-summary-http-requests | meter | calls to /cluster/summary |
+| ui:num-component-op-response-http-requests | meter | calls to /topology/{id}/component/{component}/debug/{action}/{spct} |
+| ui:num-component-page-http-requests | meter | calls to /topology/{id}/component/{component} |
+| ui:num-deactivate-topology-http-requests | meter | calls to topology/{id}/deactivate |
+| ui:num-debug-topology-http-requests | meter | calls to /topology/{id}/debug/{action}/{spct} |
+| ui:num-get-owner-resource-summaries-http-request | meter | calls to /owner-resources or /owner-resources/{id} |
+| ui:num-log-config-http-requests | meter | calls to /topology/{id}/logconfig |
+| ui:num-main-page-http-requests | meter | number of requests to /index.html |
+| ui:num-mk-visualization-data-http-requests | meter | calls to /topology/{id}/visualization-init |
+| ui:num-nimbus-summary-http-requests | meter | calls to /nimbus/summary |
+| ui:num-supervisor-http-requests | meter | calls to /supervisor |
+| ui:num-supervisor-summary-http-requests | meter | calls to /supervisor/summary |
+| ui:num-topology-lag-http-requests | meter | calls to /topology/{id}/lag |
+| ui:num-topology-metric-http-requests | meter | calls to /topology/{id}/metrics |
+| ui:num-topology-op-response-http-requests | meter | calls to /topology/{id}/logconfig or /topology/{id}/rebalance/{wait-time} or /topology/{id}/kill/{wait-time} |
+| ui:num-topology-page-http-requests | meter | calls to /topology/{id} |
+| num-web-requests | meter | nominally the total number of web requests being made. |
+
+## Pacemaker Metrics (Deprecated)
+
+The pacemaker process is deprecated and only still exists for backwards compatibility.
+
+| Metric Name | Type | Description |
+|-------------|------|-------------|
+| pacemaker:get-pulse=count | meter | number of times getPulse was called. yes the = is in the name, but typically this is mapped to a '-' by the metrics reporters. |
+| pacemaker:heartbeat-size | histogram | size in bytes of heartbeats |
+| pacemaker:send-pulse-count | meter | number of times sendPulse was called |
+| pacemaker:size-total-keys | gauge | total number of keys in this pacemaker instance |
+| pacemaker:total-receive-size | meter | total size in bytes of heartbeats received |
+| pacemaker:total-sent-size | meter | total size in bytes of heartbeats read |
diff --git a/releases/2.2.1/Command-line-client.md b/releases/2.2.1/Command-line-client.md
new file mode 100644
index 0000000..e2b3462
--- /dev/null
+++ b/releases/2.2.1/Command-line-client.md
@@ -0,0 +1,358 @@
+---
+title: Command Line Client
+layout: documentation
+documentation: true
+---
+This page describes all the commands that are possible with the "storm" command line client. To learn how to set up your "storm" client to talk to a remote cluster, follow the instructions in [Setting up development environment](Setting-up-development-environment.html). See [Classpath handling](Classpath-handling.html) for details on using external libraries in these commands.
+
+These commands are:
+
+1. jar
+1. local
+1. sql
+1. kill
+1. activate
+1. deactivate
+1. rebalance
+1. repl
+1. classpath
+1. server_classpath
+1. localconfvalue
+1. remoteconfvalue
+1. nimbus
+1. supervisor
+1. ui
+1. drpc
+1. drpc-client
+1. blobstore
+1. dev-zookeeper
+1. get-errors
+1. heartbeats
+1. kill_workers
+1. list
+1. logviewer
+1. monitor
+1. node-health-check
+1. pacemaker
+1. set_log_level
+1. shell
+1. upload-credentials
+1. version
+1. admin
+1. help
+
+### jar
+
+Syntax: `storm jar topology-jar-path class ...`
+
+Runs the main method of `class` with the specified arguments. The storm jars and configs in `~/.storm` are put on the classpath. The process is configured so that [StormSubmitter](javadocs/org/apache/storm/StormSubmitter.html) will upload the jar at `topology-jar-path` when the topology is submitted.
+
+When you want to ship other jars which is not included to application jar, you can pass them to `--jars` option with comma-separated string.
+For example, --jars "your-local-jar.jar,your-local-jar2.jar" will load your-local-jar.jar and your-local-jar2.jar.
+And when you want to ship maven artifacts and its transitive dependencies, you can pass them to `--artifacts` with comma-separated string. You can also exclude some dependencies like what you're doing in maven pom. Please add exclusion artifacts with '^' separated string after the artifact. For example, `--artifacts "redis.clients:jedis:2.9.0,org.apache.kafka:kafka_2.10:0.8.2.2^org.slf4j:slf4j-log4j12"` will load jedis and kafka artifact and all of transitive dependencies but exclude slf [...]
+
+When you need to pull the artifacts from other than Maven Central, you can pass remote repositories to --artifactRepositories option with comma-separated string. Repository format is "<name>^<url>". '^' is taken as separator because URL allows various characters. For example, --artifactRepositories "jboss-repository^http://repository.jboss.com/maven2,HDPRepo^http://repo.hortonworks.com/content/groups/public/" will add JBoss and HDP repositories for dependency resolver.
+
+Complete example of both options is here: `./bin/storm jar example/storm-starter/storm-starter-topologies-*.jar org.apache.storm.starter.RollingTopWords blobstore-remote2 remote --jars "./external/storm-redis/storm-redis-1.1.0.jar,./external/storm-kafka-client/storm-kafka-client-1.1.0.jar" --artifacts "redis.clients:jedis:2.9.0,org.apache.kafka:kafka-clients:1.0.0^org.slf4j:slf4j-api" --artifactRepositories "jboss-repository^http://repository.jboss.com/maven2,HDPRepo^http://repo.hortonwo [...]
+
+When you pass jars and/or artifacts options, StormSubmitter will upload them when the topology is submitted, and they will be included to classpath of both the process which runs the class, and also workers for that topology.
+
+### local
+
+Syntax: `storm local topology-jar-path class ...`
+
+The local command acts just like `storm jar` except instead of submitting a topology to a cluster it will run the cluster in local mode. This means an embedded version of the storm daemons will be run within the same process as your topology for 30 seconds before it shuts down automatically. As such the classpath of your topology will be extended to include everything needed to run those daemons.
+
+### sql
+
+Syntax: `storm sql sql-file topology-name`
+
+Compiles the SQL statements into a Trident topology and submits it to Storm.
+
+`--jars` and `--artifacts`, and `--artifactRepositories` options available for jar are also applied to sql command. Please refer "help jar" to see how to use --jars and --artifacts, and --artifactRepositories options. You normally want to pass these options since you need to set data source to your sql which is an external storage in many cases.
+
+### kill
+
+Syntax: `storm kill topology-name [-w wait-time-secs]`
+
+Kills the topology with the name `topology-name`. Storm will first deactivate the topology's spouts for the duration of the topology's message timeout to allow all messages currently being processed to finish processing. Storm will then shutdown the workers and clean up their state. You can override the length of time Storm waits between deactivation and shutdown with the -w flag.
+
+### activate
+
+Syntax: `storm activate topology-name`
+
+Activates the specified topology's spouts.
+
+### deactivate
+
+Syntax: `storm deactivate topology-name`
+
+Deactivates the specified topology's spouts.
+
+### rebalance
+
+Syntax: `storm rebalance topology-name [-w wait-time-secs] [-n new-num-workers] [-e component=parallelism]*`
+
+Sometimes you may wish to spread out where the workers for a topology are running. For example, let's say you have a 10 node cluster running 4 workers per node, and then let's say you add another 10 nodes to the cluster. You may wish to have Storm spread out the workers for the running topology so that each node runs 2 workers. One way to do this is to kill the topology and resubmit it, but Storm provides a "rebalance" command that provides an easier way to do this.
+
+Rebalance will first deactivate the topology for the duration of the message timeout (overridable with the -w flag) and then redistribute the workers evenly around the cluster. The topology will then return to its previous state of activation (so a deactivated topology will still be deactivated and an activated topology will go back to being activated).
+
+The rebalance command can also be used to change the parallelism of a running topology. Use the -n and -e switches to change the number of workers or number of executors of a component respectively.
+
+### repl
+
+*DEPRECATED: This subcommand may be removed in a future release.*
+
+Syntax: `storm repl`
+
+Opens up a Clojure REPL with the storm jars and configuration on the classpath. Useful for debugging.
+
+### classpath
+
+Syntax: `storm classpath`
+
+Prints the classpath used by the storm client when running commands.
+
+### server_classpath
+
+Syntax: `storm server_classpath`
+
+Prints the classpath used by the storm daemons.
+
+### localconfvalue
+
+Syntax: `storm localconfvalue conf-name`
+
+Prints out the value for `conf-name` in the local Storm configs. The local Storm configs are the ones in `~/.storm/storm.yaml` merged in with the configs in `defaults.yaml`.
+
+### remoteconfvalue
+
+Syntax: `storm remoteconfvalue conf-name`
+
+Prints out the value for `conf-name` in the cluster's Storm configs. The cluster's Storm configs are the ones in `$STORM-PATH/conf/storm.yaml` merged in with the configs in `defaults.yaml`. This command must be run on a cluster machine.
+
+### nimbus
+
+Syntax: `storm nimbus`
+
+Launches the nimbus daemon. This command should be run under supervision with a tool like [daemontools](http://cr.yp.to/daemontools.html) or [monit](http://mmonit.com/monit/). See [Setting up a Storm cluster](Setting-up-a-Storm-cluster.html) for more information.
+
+### supervisor
+
+Syntax: `storm supervisor`
+
+Launches the supervisor daemon. This command should be run under supervision with a tool like [daemontools](http://cr.yp.to/daemontools.html) or [monit](http://mmonit.com/monit/). See [Setting up a Storm cluster](Setting-up-a-Storm-cluster.html) for more information.
+
+### ui
+
+Syntax: `storm ui`
+
+Launches the UI daemon. The UI provides a web interface for a Storm cluster and shows detailed stats about running topologies. This command should be run under supervision with a tool like [daemontools](http://cr.yp.to/daemontools.html) or [monit](http://mmonit.com/monit/). See [Setting up a Storm cluster](Setting-up-a-Storm-cluster.html) for more information.
+
+### drpc
+
+Syntax: `storm drpc`
+
+Launches a DRPC daemon. This command should be run under supervision with a tool like [daemontools](http://cr.yp.to/daemontools.html) or [monit](http://mmonit.com/monit/). See [Distributed RPC](Distributed-RPC.html) for more information.
+
+### drpc-client
+
+Syntax: `storm drpc-client [options] ([function argument]*)|(argument*)`
+
+Provides a very simple way to send DRPC requests. If a `-f` argument is supplied, to set the function name, all of the arguments are treated
+as arguments to the function. If no function is given the arguments must be pairs of function argument.
+
+*NOTE:* This is not really intended for production use. This is mostly because parsing out the results can be a pain.
+
+Creating an actual DRPC client only takes a few lines, so for production please go with that.
+
+```java
+Config conf = new Config();
+try (DRPCClient drpc = DRPCClient.getConfiguredClient(conf)) {
+ //User the drpc client
+ String result = drpc.execute(function, argument);
+}
+```
+
+#### Examples
+
+`storm drpc-client exclaim a exclaim b test bar`
+
+This will submit 3 separate DRPC request.
+1. function = "exclaim" args = "a"
+2. function = "exclaim" args = "b"
+3. function = "test" args = "bar"
+
+`storm drpc-client -f exclaim a b`
+
+This will submit 2 separate DRPC request.
+1. function = "exclaim" args = "a"
+2. function = "exclaim" args = "b"
+
+### blobstore
+
+Syntax: `storm blobstore cmd`
+
+list [KEY...] - lists blobs currently in the blob store
+
+cat [-f FILE] KEY - read a blob and then either write it to a file, or STDOUT (requires read access).
+
+create [-f FILE] [-a ACL ...] [--replication-factor NUMBER] KEY - create a new blob. Contents comes from a FILE or STDIN. ACL is in the form [uo]:[username]:[r-][w-][a-] can be comma separated list.
+
+update [-f FILE] KEY - update the contents of a blob. Contents comes from a FILE or STDIN (requires write access).
+
+delete KEY - delete an entry from the blob store (requires write access).
+
+set-acl [-s ACL] KEY - ACL is in the form [uo]:[username]:[r-][w-][a-] can be comma separated list (requires admin access).
+
+replication --read KEY - Used to read the replication factor of the blob.
+
+replication --update --replication-factor NUMBER KEY where NUMBER > 0. It is used to update the replication factor of a blob.
+
+For example, the following would create a mytopo:data.tgz key using the data stored in data.tgz. User alice would have full access, bob would have read/write access and everyone else would have read access.
+
+storm blobstore create mytopo:data.tgz -f data.tgz -a u:alice:rwa,u:bob:rw,o::r
+
+See [Blobstore(Distcahce)](distcache-blobstore.html) for more information.
+
+### dev-zookeeper
+
+Syntax: `storm dev-zookeeper`
+
+Launches a fresh Zookeeper server using "dev.zookeeper.path" as its local dir and "storm.zookeeper.port" as its port. This is only intended for development/testing, the Zookeeper instance launched is not configured to be used in production.
+
+### get-errors
+
+Syntax: `storm get-errors topology-name`
+
+Get the latest error from the running topology. The returned result contains the key value pairs for component-name and component-error for the components in error. The result is returned in json format.
+
+### heartbeats
+
+Syntax: `storm heartbeats [cmd]`
+
+list PATH - lists heartbeats nodes under PATH currently in the ClusterState.
+get PATH - Get the heartbeat data at PATH
+
+### kill_workers
+
+Syntax: `storm kill_workers`
+
+Kill the workers running on this supervisor. This command should be run on a supervisor node. If the cluster is running in secure mode, then user needs to have admin rights on the node to be able to successfully kill all workers.
+
+### list
+
+Syntax: `storm list`
+
+List the running topologies and their statuses.
+
+### logviewer
+
+Syntax: `storm logviewer`
+
+Launches the log viewer daemon. It provides a web interface for viewing storm log files. This command should be run under supervision with a tool like daemontools or monit.
+
+See Setting up a Storm cluster for more information.(http://storm.apache.org/documentation/Setting-up-a-Storm-cluster)
+
+### monitor
+
+Syntax: `storm monitor topology-name [-i interval-secs] [-m component-id] [-s stream-id] [-w [emitted | transferred]]`
+
+Monitor given topology's throughput interactively.
+One can specify poll-interval, component-id, stream-id, watch-item[emitted | transferred]
+ By default,
+ poll-interval is 4 seconds;
+ all component-ids will be list;
+ stream-id is 'default';
+ watch-item is 'emitted';
+
+### node-health-check
+
+Syntax: `storm node-health-check`
+
+Run health checks on the local supervisor.
+
+### pacemaker
+
+Syntax: `storm pacemaker`
+
+Launches the Pacemaker daemon. This command should be run under
+supervision with a tool like daemontools or monit.
+
+See Setting up a Storm cluster for more information.(http://storm.apache.org/documentation/Setting-up-a-Storm-cluster)
+
+### set_log_level
+
+Syntax: `storm set_log_level -l [logger name]=[log level][:optional timeout] -r [logger name] topology-name`
+
+Dynamically change topology log levels
+
+where log level is one of: ALL, TRACE, DEBUG, INFO, WARN, ERROR, FATAL, OFF
+and timeout is integer seconds.
+
+e.g.
+ ./bin/storm set_log_level -l ROOT=DEBUG:30 topology-name
+
+ Set the root logger's level to DEBUG for 30 seconds
+
+ ./bin/storm set_log_level -l com.myapp=WARN topology-name
+
+ Set the com.myapp logger's level to WARN for 30 seconds
+
+ ./bin/storm set_log_level -l com.myapp=WARN -l com.myOtherLogger=ERROR:123 topology-name
+
+ Set the com.myapp logger's level to WARN indefinitely, and com.myOtherLogger to ERROR for 123 seconds
+
+ ./bin/storm set_log_level -r com.myOtherLogger topology-name
+
+ Clears settings, resetting back to the original level
+
+### shell
+
+Syntax: `storm shell resourcesdir command args`
+
+Makes constructing jar and uploading to nimbus for using non JVM languages
+
+eg: `storm shell resources/ python topology.py arg1 arg2`
+
+### upload-credentials
+
+Syntax: `storm upload_credentials topology-name [credkey credvalue]*`
+
+Uploads a new set of credentials to a running topology
+ * `-e --exception-when-empty`: optional flag. If set, command will fail and throw exception if no credentials were uploaded.
+
+
+### version
+
+Syntax: `storm version`
+
+Prints the version number of this Storm release.
+
+### admin
+
+Syntax: `storm admin <cmd> [options]`
+
+The storm admin command provides access to several operations that can help an administrator debug or fix a cluster.
+
+`remove_corrupt_topologies` - This command should be run on a nimbus node as the same user nimbus runs as. It will go directly to zookeeper + blobstore and find topologies that appear to be corrupted because of missing blobs. It will kill those topologies.
+
+ `zk_cli [options]` - This command will launch a zookeeper cli pointing to the storm zookeeper instance logged in as the nimbus user. It should be run on a nimbus server as the user nimbus runs as.
+
+ * `-s --server <connection string>`: Set the connection string to use,
+ defaults to storm connection string.
+ * `-t --time-out <timeout>`: Set the timeout to use, defaults to storm
+ zookeeper timeout.
+ * `-w --write`: Allow for writes, defaults to read only, we don't want to
+ cause problems.
+ * `-n --no-root`: Don't include the storm root on the default connection string.
+ * `-j --jaas <jaas_file>`: Include a jaas file that should be used when
+ authenticating with ZK defaults to the
+ java.security.auth.login.config conf.
+
+`creds <topology_id>` - Print the credential keys for a topology.
+
+### help
+Syntax: `storm help [command]`
+
+Print one help message or list of available commands
diff --git a/releases/2.2.1/Common-patterns.md b/releases/2.2.1/Common-patterns.md
new file mode 100644
index 0000000..e0e8c1f
--- /dev/null
+++ b/releases/2.2.1/Common-patterns.md
@@ -0,0 +1,84 @@
+---
+title: Common Topology Patterns
+layout: documentation
+documentation: true
+---
+
+This page lists a variety of common patterns in Storm topologies.
+
+1. Batching
+2. BasicBolt
+3. In-memory caching + fields grouping combo
+4. Streaming top N
+5. TimeCacheMap for efficiently keeping a cache of things that have been recently updated
+6. CoordinatedBolt and KeyedFairBolt for Distributed RPC
+
+
+### Batching
+
+Oftentimes for efficiency reasons or otherwise, you want to process a group of tuples in batch rather than individually. For example, you may want to batch updates to a database or do a streaming aggregation of some sort.
+
+If you want reliability in your data processing, the right way to do this is to hold on to tuples in an instance variable while the bolt waits to do the batching. Once you do the batch operation, you then ack all the tuples you were holding onto.
+
+If the bolt emits tuples, then you may want to use multi-anchoring to ensure reliability. It all depends on the specific application. See [Guaranteeing message processing](Guaranteeing-message-processing.html) for more details on how reliability works.
+
+### BasicBolt
+Many bolts follow a similar pattern of reading an input tuple, emitting zero or more tuples based on that input tuple, and then acking that input tuple immediately at the end of the execute method. Bolts that match this pattern are things like functions and filters. This is such a common pattern that Storm exposes an interface called [IBasicBolt](javadocs/org/apache/storm/topology/IBasicBolt.html) that automates this pattern for you. See [Guaranteeing message processing](Guaranteeing-mes [...]
+
+### In-memory caching + fields grouping combo
+
+It's common to keep caches in-memory in Storm bolts. Caching becomes particularly powerful when you combine it with a fields grouping. For example, suppose you have a bolt that expands short URLs (like bit.ly, t.co, etc.) into long URLs. You can increase performance by keeping an LRU cache of short URL to long URL expansions to avoid doing the same HTTP requests over and over. Suppose component "urls" emits short URLS, and component "expand" expands short URLs into long URLs and keeps a [...]
+
+```java
+builder.setBolt("expand", new ExpandUrl(), parallelism)
+ .shuffleGrouping(1);
+```
+
+```java
+builder.setBolt("expand", new ExpandUrl(), parallelism)
+ .fieldsGrouping("urls", new Fields("url"));
+```
+
+The second approach will have vastly more effective caches, since the same URL will always go to the same task. This avoids having duplication across any of the caches in the tasks and makes it much more likely that a short URL will hit the cache.
+
+### Streaming top N
+
+A common continuous computation done on Storm is a "streaming top N" of some sort. Suppose you have a bolt that emits tuples of the form ["value", "count"] and you want a bolt that emits the top N tuples based on count. The simplest way to do this is to have a bolt that does a global grouping on the stream and maintains a list in memory of the top N items.
+
+This approach obviously doesn't scale to large streams since the entire stream has to go through one task. A better way to do the computation is to do many top N's in parallel across partitions of the stream, and then merge those top N's together to get the global top N. The pattern looks like this:
+
+```java
+builder.setBolt("rank", new RankObjects(), parallelism)
+ .fieldsGrouping("objects", new Fields("value"));
+builder.setBolt("merge", new MergeObjects())
+ .globalGrouping("rank");
+```
+
+This pattern works because of the fields grouping done by the first bolt which gives the partitioning you need for this to be semantically correct. You can see an example of this pattern in storm-starter [here]({{page.git-blob-base}}/examples/storm-starter/src/jvm/org/apache/storm/starter/RollingTopWords.java).
+
+If however you have a known skew in the data being processed it can be advantageous to use partialKeyGrouping instead of fieldsGrouping. This will distribute the load for each key between two downstream bolts instead of a single one.
+
+```java
+builder.setBolt("count", new CountObjects(), parallelism)
+ .partialKeyGrouping("objects", new Fields("value"));
+builder.setBolt("rank" new AggregateCountsAndRank(), parallelism)
+ .fieldsGrouping("count", new Fields("key"))
+builder.setBolt("merge", new MergeRanksObjects())
+ .globalGrouping("rank");
+```
+
+The topology needs an extra layer of processing to aggregate the partial counts from the upstream bolts but this only processes aggregated values now so the bolt it is not subject to the load caused by the skewed data. You can see an example of this pattern in storm-starter [here]({{page.git-blob-base}}/examples/storm-starter/src/jvm/org/apache/storm/starter/SkewedRollingTopWords.java).
+
+### TimeCacheMap for efficiently keeping a cache of things that have been recently updated
+
+You sometimes want to keep a cache in memory of items that have been recently "active" and have items that have been inactive for some time be automatically expires. [TimeCacheMap](javadocs/org/apache/storm/utils/TimeCacheMap.html) is an efficient data structure for doing this and provides hooks so you can insert callbacks whenever an item is expired.
+
+### CoordinatedBolt and KeyedFairBolt for Distributed RPC
+
+When building distributed RPC applications on top of Storm, there are two common patterns that are usually needed. These are encapsulated by [CoordinatedBolt](javadocs/org/apache/storm/task/CoordinatedBolt.html) and [KeyedFairBolt](javadocs/org/apache/storm/task/KeyedFairBolt.html) which are part of the "standard library" that ships with the Storm codebase.
+
+`CoordinatedBolt` wraps the bolt containing your logic and figures out when your bolt has received all the tuples for any given request. It makes heavy use of direct streams to do this.
+
+`KeyedFairBolt` also wraps the bolt containing your logic and makes sure your topology processes multiple DRPC invocations at the same time, instead of doing them serially one at a time.
+
+See [Distributed RPC](Distributed-RPC.html) for more details.
diff --git a/releases/2.2.1/Concepts.md b/releases/2.2.1/Concepts.md
new file mode 100644
index 0000000..fd8fa88
--- /dev/null
+++ b/releases/2.2.1/Concepts.md
@@ -0,0 +1,120 @@
+---
+title: Concepts
+layout: documentation
+documentation: true
+---
+
+This page lists the main concepts of Storm and links to resources where you can find more information. The concepts discussed are:
+
+1. Topologies
+2. Streams
+3. Spouts
+4. Bolts
+5. Stream groupings
+6. Reliability
+7. Tasks
+8. Workers
+
+### Topologies
+
+The logic for a realtime application is packaged into a Storm topology. A Storm topology is analogous to a MapReduce job. One key difference is that a MapReduce job eventually finishes, whereas a topology runs forever (or until you kill it, of course). A topology is a graph of spouts and bolts that are connected with stream groupings. These concepts are described below.
+
+**Resources:**
+
+* [TopologyBuilder](javadocs/org/apache/storm/topology/TopologyBuilder.html): use this class to construct topologies in Java
+* [Running topologies on a production cluster](Running-topologies-on-a-production-cluster.html)
+* [Local mode](Local-mode.html): Read this to learn how to develop and test topologies in local mode.
+
+### Streams
+
+The stream is the core abstraction in Storm. A stream is an unbounded sequence of tuples that is processed and created in parallel in a distributed fashion. Streams are defined with a schema that names the fields in the stream's tuples. By default, tuples can contain integers, longs, shorts, bytes, strings, doubles, floats, booleans, and byte arrays. You can also define your own serializers so that custom types can be used natively within tuples.
+
+Every stream is given an id when declared. Since single-stream spouts and bolts are so common, [OutputFieldsDeclarer](javadocs/org/apache/storm/topology/OutputFieldsDeclarer.html) has convenience methods for declaring a single stream without specifying an id. In this case, the stream is given the default id of "default".
+
+
+**Resources:**
+
+* [Tuple](javadocs/org/apache/storm/tuple/Tuple.html): streams are composed of tuples
+* [OutputFieldsDeclarer](javadocs/org/apache/storm/topology/OutputFieldsDeclarer.html): used to declare streams and their schemas
+* [Serialization](Serialization.html): Information about Storm's dynamic typing of tuples and declaring custom serializations
+
+### Spouts
+
+A spout is a source of streams in a topology. Generally spouts will read tuples from an external source and emit them into the topology (e.g. a Kestrel queue or the Twitter API). Spouts can either be __reliable__ or __unreliable__. A reliable spout is capable of replaying a tuple if it failed to be processed by Storm, whereas an unreliable spout forgets about the tuple as soon as it is emitted.
+
+Spouts can emit more than one stream. To do so, declare multiple streams using the `declareStream` method of [OutputFieldsDeclarer](javadocs/org/apache/storm/topology/OutputFieldsDeclarer.html) and specify the stream to emit to when using the `emit` method on [SpoutOutputCollector](javadocs/org/apache/storm/spout/SpoutOutputCollector.html).
+
+The main method on spouts is `nextTuple`. `nextTuple` either emits a new tuple into the topology or simply returns if there are no new tuples to emit. It is imperative that `nextTuple` does not block for any spout implementation, because Storm calls all the spout methods on the same thread.
+
+The other main methods on spouts are `ack` and `fail`. These are called when Storm detects that a tuple emitted from the spout either successfully completed through the topology or failed to be completed. `ack` and `fail` are only called for reliable spouts. See [the Javadoc](javadocs/org/apache/storm/spout/ISpout.html) for more information.
+
+**Resources:**
+
+* [IRichSpout](javadocs/org/apache/storm/topology/IRichSpout.html): this is the interface that spouts must implement.
+* [Guaranteeing message processing](Guaranteeing-message-processing.html)
+
+### Bolts
+
+All processing in topologies is done in bolts. Bolts can do anything from filtering, functions, aggregations, joins, talking to databases, and more.
+
+Bolts can do simple stream transformations. Doing complex stream transformations often requires multiple steps and thus multiple bolts. For example, transforming a stream of tweets into a stream of trending images requires at least two steps: a bolt to do a rolling count of retweets for each image, and one or more bolts to stream out the top X images (you can do this particular stream transformation in a more scalable way with three bolts than with two).
+
+Bolts can emit more than one stream. To do so, declare multiple streams using the `declareStream` method of [OutputFieldsDeclarer](javadocs/org/apache/storm/topology/OutputFieldsDeclarer.html) and specify the stream to emit to when using the `emit` method on [OutputCollector](javadocs/org/apache/storm/task/OutputCollector.html).
+
+When you declare a bolt's input streams, you always subscribe to specific streams of another component. If you want to subscribe to all the streams of another component, you have to subscribe to each one individually. [InputDeclarer](javadocs/org/apache/storm/topology/InputDeclarer.html) has syntactic sugar for subscribing to streams declared on the default stream id. Saying `declarer.shuffleGrouping("1")` subscribes to the default stream on component "1" and is equivalent to `declarer.s [...]
+
+The main method in bolts is the `execute` method which takes in as input a new tuple. Bolts emit new tuples using the [OutputCollector](javadocs/org/apache/storm/task/OutputCollector.html) object. Bolts must call the `ack` method on the `OutputCollector` for every tuple they process so that Storm knows when tuples are completed (and can eventually determine that its safe to ack the original spout tuples). For the common case of processing an input tuple, emitting 0 or more tuples based o [...]
+
+Its perfectly fine to launch new threads in bolts that do processing asynchronously. [OutputCollector](javadocs/org/apache/storm/task/OutputCollector.html) is thread-safe and can be called at any time.
+
+**Resources:**
+
+* [IRichBolt](javadocs/org/apache/storm/topology/IRichBolt.html): this is general interface for bolts.
+* [IBasicBolt](javadocs/org/apache/storm/topology/IBasicBolt.html): this is a convenience interface for defining bolts that do filtering or simple functions.
+* [OutputCollector](javadocs/org/apache/storm/task/OutputCollector.html): bolts emit tuples to their output streams using an instance of this class
+* [Guaranteeing message processing](Guaranteeing-message-processing.html)
+
+### Stream groupings
+
+Part of defining a topology is specifying for each bolt which streams it should receive as input. A stream grouping defines how that stream should be partitioned among the bolt's tasks.
+
+There are eight built-in stream groupings in Storm, and you can implement a custom stream grouping by implementing the [CustomStreamGrouping](javadocs/org/apache/storm/grouping/CustomStreamGrouping.html) interface:
+
+1. **Shuffle grouping**: Tuples are randomly distributed across the bolt's tasks in a way such that each bolt is guaranteed to get an equal number of tuples.
+2. **Fields grouping**: The stream is partitioned by the fields specified in the grouping. For example, if the stream is grouped by the "user-id" field, tuples with the same "user-id" will always go to the same task, but tuples with different "user-id"'s may go to different tasks.
+3. **Partial Key grouping**: The stream is partitioned by the fields specified in the grouping, like the Fields grouping, but are load balanced between two downstream bolts, which provides better utilization of resources when the incoming data is skewed. [This paper](https://melmeric.files.wordpress.com/2014/11/the-power-of-both-choices-practical-load-balancing-for-distributed-stream-processing-engines.pdf) provides a good explanation of how it works and the advantages it provides.
+4. **All grouping**: The stream is replicated across all the bolt's tasks. Use this grouping with care.
+5. **Global grouping**: The entire stream goes to a single one of the bolt's tasks. Specifically, it goes to the task with the lowest id.
+6. **None grouping**: This grouping specifies that you don't care how the stream is grouped. Currently, none groupings are equivalent to shuffle groupings. Eventually though, Storm will push down bolts with none groupings to execute in the same thread as the bolt or spout they subscribe from (when possible).
+7. **Direct grouping**: This is a special kind of grouping. A stream grouped this way means that the __producer__ of the tuple decides which task of the consumer will receive this tuple. Direct groupings can only be declared on streams that have been declared as direct streams. Tuples emitted to a direct stream must be emitted using one of the [emitDirect](javadocs/org/apache/storm/task/OutputCollector.html#emitDirect-int-java.util.Collection-java.util.List-) methods. A bolt can get the [...]
+8. **Local or shuffle grouping**: If the target bolt has one or more tasks in the same worker process, tuples will be shuffled to just those in-process tasks. Otherwise, this acts like a normal shuffle grouping.
+
+**Resources:**
+
+* [TopologyBuilder](javadocs/org/apache/storm/topology/TopologyBuilder.html): use this class to define topologies
+* [InputDeclarer](javadocs/org/apache/storm/topology/InputDeclarer.html): this object is returned whenever `setBolt` is called on `TopologyBuilder` and is used for declaring a bolt's input streams and how those streams should be grouped
+
+### Reliability
+
+Storm guarantees that every spout tuple will be fully processed by the topology. It does this by tracking the tree of tuples triggered by every spout tuple and determining when that tree of tuples has been successfully completed. Every topology has a "message timeout" associated with it. If Storm fails to detect that a spout tuple has been completed within that timeout, then it fails the tuple and replays it later.
+
+To take advantage of Storm's reliability capabilities, you must tell Storm when new edges in a tuple tree are being created and tell Storm whenever you've finished processing an individual tuple. These are done using the [OutputCollector](javadocs/org/apache/storm/task/OutputCollector.html) object that bolts use to emit tuples. Anchoring is done in the `emit` method, and you declare that you're finished with a tuple using the `ack` method.
+
+This is all explained in much more detail in [Guaranteeing message processing](Guaranteeing-message-processing.html).
+
+### Tasks
+
+Each spout or bolt executes as many tasks across the cluster. Each task corresponds to one thread of execution, and stream groupings define how to send tuples from one set of tasks to another set of tasks. You set the parallelism for each spout or bolt in the `setSpout` and `setBolt` methods of [TopologyBuilder](javadocs/org/apache/storm/topology/TopologyBuilder.html).
+
+### Workers
+
+Topologies execute across one or more worker processes. Each worker process is a physical JVM and executes a subset of all the tasks for the topology. For example, if the combined parallelism of the topology is 300 and 50 workers are allocated, then each worker will execute 6 tasks (as threads within the worker). Storm tries to spread the tasks evenly across all the workers.
+
+**Resources:**
+
+* [Config.TOPOLOGY_WORKERS](javadocs/org/apache/storm/Config.html#TOPOLOGY_WORKERS): this config sets the number of workers to allocate for executing the topology
+
+### Performance Tuning
+
+Refer to [performance tuning guide](Performance.html).
+
diff --git a/releases/2.2.1/Configuration.md b/releases/2.2.1/Configuration.md
new file mode 100644
index 0000000..83cb28a
--- /dev/null
+++ b/releases/2.2.1/Configuration.md
@@ -0,0 +1,41 @@
+---
+title: Configuration
+layout: documentation
+documentation: true
+---
+Storm has a variety of configurations for tweaking the behavior of nimbus, supervisors, and running topologies. Some configurations are system configurations and cannot be modified on a topology by topology basis, whereas other configurations can be modified per topology.
+
+Every configuration has a default value defined in [defaults.yaml]({{page.git-blob-base}}/conf/defaults.yaml) in the Storm codebase. You can override these configurations by defining a storm.yaml in the classpath of Nimbus and the supervisors. Finally, you can define a topology-specific configuration that you submit along with your topology when using [StormSubmitter](javadocs/org/apache/storm/StormSubmitter.html). However, the topology-specific configuration can only override configs pr [...]
+
+Storm 0.7.0 and onwards lets you override configuration on a per-bolt/per-spout basis. The only configurations that can be overriden this way are:
+
+1. "topology.debug"
+2. "topology.max.spout.pending"
+3. "topology.max.task.parallelism"
+4. "topology.kryo.register": This works a little bit differently than the other ones, since the serializations will be available to all components in the topology. More details on [Serialization](Serialization.html).
+
+The Java API lets you specify component specific configurations in two ways:
+
+1. *Internally:* Override `getComponentConfiguration` in any spout or bolt and return the component-specific configuration map.
+2. *Externally:* `setSpout` and `setBolt` in `TopologyBuilder` return an object with methods `addConfiguration` and `addConfigurations` that can be used to override the configurations for the component.
+
+The preference order for configuration values is defaults.yaml < storm.yaml < topology specific configuration < internal component specific configuration < external component specific configuration.
+
+# Bolts, Spouts, and Plugins
+In almost all cases configuration for a bolt or a spout should be done though setters on the bolt or spout implementation and not the topology conf. In some rare cases it may make since to
+expose topology wide configurations that are not currently a part of [Config](javadocs/org/apache/storm/Config.html) or [DaemonConfig](javadocs/org/apache/storm/DaemonConfig.html) such as
+when writing a custom scheduler or a plugin to some part of storm. In those
+cases you can create your own class like Config but implements [Validated](javadocs/org/apache/storm/validation/Validated.html). Any `public static final String` field declared in this
+class will be treated as a config and annotations from the `org.apache.storm.validation.ConfigValidationAnnotations` class can be used to enforce what is stored in that config.
+To let the validator know about this class you need to treat the class
+like a service that will be loaded through a ServiceLoader for the Validated class and include a `META-INF/services/org.apache.storm.validation.Validated` file in your jar that holds
+the name of your Config class.
+
+**Resources:**
+
+* [Config](javadocs/org/apache/storm/Config.html): a listing of client configurations as well as a helper class for creating topology specific configurations
+* [DaemonConfig](javadocs/org/apache/storm/DaemonConfig.html): a listing of Storm Daemon configurations.
+* [defaults.yaml]({{page.git-blob-base}}/conf/defaults.yaml): the default values for all configurations
+* [Setting up a Storm cluster](Setting-up-a-Storm-cluster.html): explains how to create and configure a Storm cluster
+* [Running topologies on a production cluster](Running-topologies-on-a-production-cluster.html): lists useful configurations when running topologies on a cluster
+* [Local mode](Local-mode.html): lists useful configurations when using local mode
diff --git a/releases/2.2.1/Contributing-to-Storm.md b/releases/2.2.1/Contributing-to-Storm.md
new file mode 100644
index 0000000..2c6ad1f
--- /dev/null
+++ b/releases/2.2.1/Contributing-to-Storm.md
@@ -0,0 +1,33 @@
+---
+title: Contributing
+layout: documentation
+documentation: true
+---
+
+### Getting started with contributing
+
+Some of the issues on the [issue tracker](https://issues.apache.org/jira/browse/STORM) are marked with the ["Newbie"](https://issues.apache.org/jira/browse/STORM-2891?jql=project%20%3D%20STORM%20AND%20status%20%3D%20Open%20AND%20labels%20in%20(newbie%2C%20%22newbie%2B%2B%22)) label. If you're interested in contributing to Storm but don't know where to begin, these are good issues to start with. These issues are a great way to get your feet wet with learning the codebase because they requ [...]
+
+### Learning the codebase
+
+The [Implementation docs](Implementation-docs.html) section of the wiki gives detailed walkthroughs of the codebase. Reading through these docs is highly recommended to understand the codebase.
+
+### Contribution process
+
+Contributions to the Storm codebase should be sent as [GitHub](https://github.com/apache/storm) pull requests. If there's any problems to the pull request we can iterate on it using GitHub's commenting features.
+
+For small patches, feel free to submit pull requests directly for them. For larger contributions, please use the following process. The idea behind this process is to prevent any wasted work and catch design issues early on:
+
+1. Open an issue on the [issue tracker](https://issues.apache.org/jira/browse/STORM) if one doesn't exist already
+2. Comment on the issue with your plan for implementing the issue. Explain what pieces of the codebase you're going to touch and how everything is going to fit together.
+3. Storm committers will iterate with you on the design to make sure you're on the right track
+4. Implement your issue, submit a pull request, and iterate from there.
+
+### Modules built on top of Storm
+
+Modules built on top of Storm (like spouts, bolts, etc) that aren't appropriate for Storm core can be done as your own project or as part of [@stormprocessor](https://github.com/stormprocessor). To be part of @stormprocessor put your project on your own Github and then send an email to the mailing list proposing to make it part of @stormprocessor. Then the community can discuss whether it's useful enough to be part of @stormprocessor. Then you'll be added to the @stormprocessor organizat [...]
+
+### Contributing documentation
+
+Documentation contributions are very welcome! The best way to send contributions is as emails through the mailing list.
+
diff --git a/releases/2.2.1/Creating-a-new-Storm-project.md b/releases/2.2.1/Creating-a-new-Storm-project.md
new file mode 100644
index 0000000..35ab1eb
--- /dev/null
+++ b/releases/2.2.1/Creating-a-new-Storm-project.md
@@ -0,0 +1,25 @@
+---
+title: Creating a New Storm Project
+layout: documentation
+documentation: true
+---
+This page outlines how to set up a Storm project for development. The steps are:
+
+1. Add Storm jars to classpath
+2. If using multilang, add multilang dir to classpath
+
+Follow along to see how to set up the [storm-starter]({{page.git-blob-base}}/examples/storm-starter) project in Eclipse.
+
+### Add Storm jars to classpath
+
+You'll need the Storm jars on your classpath to develop Storm topologies. Using [Maven](Maven.html) is highly recommended. [Here's an example]({{page.git-blob-base}}/examples/storm-starter/pom.xml) of how to setup your pom.xml for a Storm project. If you don't want to use Maven, you can include the jars from the Storm release on your classpath.
+
+To set up the classpath in Eclipse, create a new Java project, include `src/jvm/` as a source path, and make sure all the jars in `lib/` and `lib/dev/` are in the `Referenced Libraries` section of the project.
+
+### If using multilang, add multilang dir to classpath
+
+If you implement spouts or bolts in languages other than Java, then those implementations should be under the `multilang/resources/` directory of the project. For Storm to find these files in local mode, the `resources/` dir needs to be on the classpath. You can do this in Eclipse by adding `multilang/` as a source folder. You may also need to add multilang/resources as a source directory.
+
+For more information on writing topologies in other languages, see [Using non-JVM languages with Storm](Using-non-JVM-languages-with-Storm.html).
+
+To test that everything is working in Eclipse, you should now be able to `Run` the `WordCountTopology.java` file. You will see messages being emitted at the console for 10 seconds.
diff --git a/releases/2.2.1/DSLs-and-multilang-adapters.md b/releases/2.2.1/DSLs-and-multilang-adapters.md
new file mode 100644
index 0000000..917b419
--- /dev/null
+++ b/releases/2.2.1/DSLs-and-multilang-adapters.md
@@ -0,0 +1,11 @@
+---
+title: Storm DSLs and Multi-Lang Adapters
+layout: documentation
+documentation: true
+---
+* [Clojure DSL](Clojure-DSL.html)
+* [Scala DSL](https://github.com/velvia/ScalaStorm)
+* [JRuby DSL](https://github.com/colinsurprenant/redstorm)
+* [Storm/Esper integration](https://github.com/tomdz/storm-esper): Streaming SQL on top of Storm
+* [io-storm](https://github.com/dan-blanchard/io-storm): Perl multilang adapter
+* [FsShelter](https://github.com/Prolucid/FsShelter): F# DSL and runtime with protobuf multilang
diff --git a/releases/2.2.1/Daemon-Fault-Tolerance.md b/releases/2.2.1/Daemon-Fault-Tolerance.md
new file mode 100644
index 0000000..8dce601
--- /dev/null
+++ b/releases/2.2.1/Daemon-Fault-Tolerance.md
@@ -0,0 +1,30 @@
+---
+title: Daemon Fault Tolerance
+layout: documentation
+documentation: true
+---
+Storm has several different daemon processes. Nimbus that schedules workers, supervisors that launch and kill workers, the log viewer that gives access to logs, and the UI that shows the status of a cluster.
+
+## What happens when a worker dies?
+
+When a worker dies, the supervisor will restart it. If it continuously fails on startup and is unable to heartbeat to Nimbus, Nimbus will reschedule the worker.
+
+## What happens when a node dies?
+
+The tasks assigned to that machine will time-out and Nimbus will reassign those tasks to other machines.
+
+## What happens when Nimbus or Supervisor daemons die?
+
+The Nimbus and Supervisor daemons are designed to be fail-fast (process self-destructs whenever any unexpected situation is encountered) and stateless (all state is kept in Zookeeper or on disk). As described in [Setting up a Storm cluster](Setting-up-a-Storm-cluster.html), the Nimbus and Supervisor daemons must be run under supervision using a tool like daemontools or monit. So if the Nimbus or Supervisor daemons die, they restart like nothing happened.
+
+Most notably, no worker processes are affected by the death of Nimbus or the Supervisors. This is in contrast to Hadoop, where if the JobTracker dies, all the running jobs are lost.
+
+## Is Nimbus a single point of failure?
+
+If you lose the Nimbus node, the workers will still continue to function. Additionally, supervisors will continue to restart workers if they die. However, without Nimbus, workers won't be reassigned to other machines when necessary (like if you lose a worker machine).
+
+Storm Nimbus is highly available since 1.0.0. More information please refer to [Nimbus HA Design](nimbus-ha-design.html) document.
+
+## How does Storm guarantee data processing?
+
+Storm provides mechanisms to guarantee data processing even if nodes die or messages are lost. See [Guaranteeing message processing](Guaranteeing-message-processing.html) for the details.
diff --git a/releases/2.2.1/Defining-a-non-jvm-language-dsl-for-storm.md b/releases/2.2.1/Defining-a-non-jvm-language-dsl-for-storm.md
new file mode 100644
index 0000000..311577b
--- /dev/null
+++ b/releases/2.2.1/Defining-a-non-jvm-language-dsl-for-storm.md
@@ -0,0 +1,38 @@
+---
+title: Defining a Non-JVM DSL for Storm
+layout: documentation
+documentation: true
+---
+The right place to start to learn how to make a non-JVM DSL for Storm is [storm-client/src/storm.thrift]({{page.git-blob-base}}/storm-client/src/storm.thrift). Since Storm topologies are just Thrift structures, and Nimbus is a Thrift daemon, you can create and submit topologies in any language.
+
+When you create the Thrift structs for spouts and bolts, the code for the spout or bolt is specified in the ComponentObject struct:
+
+```
+union ComponentObject {
+ 1: binary serialized_java;
+ 2: ShellComponent shell;
+ 3: JavaObject java_object;
+}
+```
+
+For a Python DSL, you would want to make use of "2" and "3". ShellComponent lets you specify a script to run that component (e.g., your python code). And JavaObject lets you specify native java spouts and bolts for the component (and Storm will use reflection to create that spout or bolt).
+
+There's a "storm shell" command that will help with submitting a topology. Its usage is like this:
+
+```
+storm shell resources/ python topology.py arg1 arg2
+```
+
+storm shell will then package resources/ into a jar, upload the jar to Nimbus, and call your topology.py script like this:
+
+```
+python topology.py arg1 arg2 {nimbus-host} {nimbus-port} {uploaded-jar-location}
+```
+
+Then you can connect to Nimbus using the Thrift API and submit the topology, passing {uploaded-jar-location} into the submitTopology method. For reference, here's the submitTopology definition:
+
+```java
+void submitTopology(1: string name, 2: string uploadedJarLocation, 3: string jsonConf, 4: StormTopology topology) throws (1: AlreadyAliveException e, 2: InvalidTopologyException ite);
+```
+
+Finally, one of the key things to do in a non-JVM DSL is make it easy to define the entire topology in one file (the bolts, spouts, and the definition of the topology).
diff --git a/releases/2.2.1/Distributed-RPC.md b/releases/2.2.1/Distributed-RPC.md
new file mode 100644
index 0000000..9931e69
--- /dev/null
+++ b/releases/2.2.1/Distributed-RPC.md
@@ -0,0 +1,216 @@
+---
+title: Distributed RPC
+layout: documentation
+documentation: true
+---
+The idea behind distributed RPC (DRPC) is to parallelize the computation of really intense functions on the fly using Storm. The Storm topology takes in as input a stream of function arguments, and it emits an output stream of the results for each of those function calls.
+
+DRPC is not so much a feature of Storm as it is a pattern expressed from Storm's primitives of streams, spouts, bolts, and topologies. DRPC could have been packaged as a separate library from Storm, but it's so useful that it's bundled with Storm.
+
+### High level overview
+
+Distributed RPC is coordinated by a "DRPC server" (Storm comes packaged with an implementation of this). The DRPC server coordinates receiving an RPC request, sending the request to the Storm topology, receiving the results from the Storm topology, and sending the results back to the waiting client. From a client's perspective, a distributed RPC call looks just like a regular RPC call. For example, here's how a client would compute the results for the "reach" function with the argument " [...]
+
+```java
+Config conf = new Config();
+conf.put("storm.thrift.transport", "org.apache.storm.security.auth.plain.PlainSaslTransportPlugin");
+conf.put(Config.STORM_NIMBUS_RETRY_TIMES, 3);
+conf.put(Config.STORM_NIMBUS_RETRY_INTERVAL, 10);
+conf.put(Config.STORM_NIMBUS_RETRY_INTERVAL_CEILING, 20);
+DRPCClient client = new DRPCClient(conf, "drpc-host", 3772);
+String result = client.execute("reach", "http://twitter.com");
+```
+
+or if you just want to use a preconfigured client you can call. The exact host will be selected randomly from the configured set of hosts, if the host appears to be down it will loop through all configured hosts looking for one that works.
+
+```java
+DRPCClient client = DRPCClient.getConfiguredClient(conf);
+String result = client.execute("reach", "http://twitter.com");
+```
+
+The distributed RPC workflow looks like this:
+
+
+
+A client sends the DRPC server the name of the function to execute and the arguments to that function. The topology implementing that function uses a `DRPCSpout` to receive a function invocation stream from the DRPC server. Each function invocation is tagged with a unique id by the DRPC server. The topology then computes the result and at the end of the topology a bolt called `ReturnResults` connects to the DRPC server and gives it the result for the function invocation id. The DRPC serv [...]
+
+### LinearDRPCTopologyBuilder
+
+Storm comes with a topology builder called [LinearDRPCTopologyBuilder](javadocs/org/apache/storm/drpc/LinearDRPCTopologyBuilder.html) that automates almost all the steps involved for doing DRPC. These include:
+
+1. Setting up the spout
+2. Returning the results to the DRPC server
+3. Providing functionality to bolts for doing finite aggregations over groups of tuples
+
+Let's look at a simple example. Here's the implementation of a DRPC topology that returns its input argument with a "!" appended:
+
+```java
+public static class ExclaimBolt extends BaseBasicBolt {
+ public void execute(Tuple tuple, BasicOutputCollector collector) {
+ String input = tuple.getString(1);
+ collector.emit(new Values(tuple.getValue(0), input + "!"));
+ }
+
+ public void declareOutputFields(OutputFieldsDeclarer declarer) {
+ declarer.declare(new Fields("id", "result"));
+ }
+}
+
+public static void main(String[] args) throws Exception {
+ LinearDRPCTopologyBuilder builder = new LinearDRPCTopologyBuilder("exclamation");
+ builder.addBolt(new ExclaimBolt(), 3);
+ // ...
+}
+```
+
+As you can see, there's very little to it. When creating the `LinearDRPCTopologyBuilder`, you tell it the name of the DRPC function for the topology. A single DRPC server can coordinate many functions, and the function name distinguishes the functions from one another. The first bolt you declare will take in as input 2-tuples, where the first field is the request id and the second field is the arguments for that request. `LinearDRPCTopologyBuilder` expects the last bolt to emit an output [...]
+
+In this example, `ExclaimBolt` simply appends a "!" to the second field of the tuple. `LinearDRPCTopologyBuilder` handles the rest of the coordination of connecting to the DRPC server and sending results back.
+
+### Local mode DRPC
+
+In the past to use DRPC in local mode it took creating a special LocalDRPC instance. This can still be used when writing tests for your code, but in the current version of storm when you run in local mode a LocalDRPC
+instance is also created, and any DRPCClient created will link to it instead of the outside world. This means that any interaction you want to test needs to be a part of the script that launches the topology, just like
+with LocalDRPC.
+
+### Remote mode DRPC
+
+Using DRPC on an actual cluster is also straightforward. There's three steps:
+
+1. Launch DRPC server(s)
+2. Configure the locations of the DRPC servers
+3. Submit DRPC topologies to Storm cluster
+
+Launching a DRPC server can be done with the `storm` script and is just like launching Nimbus or the UI:
+
+```
+bin/storm drpc
+```
+
+Next, you need to configure your Storm cluster to know the locations of the DRPC server(s). This is how `DRPCSpout` knows from where to read function invocations. This can be done through the `storm.yaml` file or the topology configurations. You should also specify storm.thrift.transport property to match DRPCClient settings. Configuring this through the `storm.yaml` looks something like this:
+
+```yaml
+drpc.servers:
+ - "drpc1.foo.com"
+ - "drpc2.foo.com"
+drpc.http.port: 8081
+storm.thrift.transport: "org.apache.storm.security.auth.plain.PlainSaslTransportPlugin"
+```
+
+Finally, you launch DRPC topologies using `StormSubmitter` just like you launch any other topology. To run the above example in remote mode, you do something like this:
+
+```java
+StormSubmitter.submitTopology("exclamation-drpc", conf, builder.createRemoteTopology());
+```
+
+`createRemoteTopology` is used to create topologies suitable for Storm clusters.
+
+Assuming that the topology is listening on the `exclaim` function you can execute something several differnt ways.
+
+Programatically:
+```java
+Config conf = new Config();
+try (DRPCClient drpc = DRPCClient.getConfiguredClient(conf)) {
+ //User the drpc client
+ String result = drpc.execute("exclaim", "argument");
+}
+```
+
+through curl:
+```curl http://hostname:8081/drpc/exclaim/argument```
+
+Through the command line:
+```bin/storm drpc-client exclaim argument```
+
+### A more complex example
+
+The exclamation DRPC example was a toy example for illustrating the concepts of DRPC. Let's look at a more complex example which really needs the parallelism a Storm cluster provides for computing the DRPC function. The example we'll look at is computing the reach of a URL on Twitter.
+
+The reach of a URL is the number of unique people exposed to a URL on Twitter. To compute reach, you need to:
+
+1. Get all the people who tweeted the URL
+2. Get all the followers of all those people
+3. Unique the set of followers
+4. Count the unique set of followers
+
+A single reach computation can involve thousands of database calls and tens of millions of follower records during the computation. It's a really, really intense computation. As you're about to see, implementing this function on top of Storm is dead simple. On a single machine, reach can take minutes to compute; on a Storm cluster, you can compute reach for even the hardest URLs in a couple seconds.
+
+A sample reach topology is defined in storm-starter [here]({{page.git-blob-base}}/examples/storm-starter/src/jvm/org/apache/storm/starter/ReachTopology.java). Here's how you define the reach topology:
+
+```java
+LinearDRPCTopologyBuilder builder = new LinearDRPCTopologyBuilder("reach");
+builder.addBolt(new GetTweeters(), 3);
+builder.addBolt(new GetFollowers(), 12)
+ .shuffleGrouping();
+builder.addBolt(new PartialUniquer(), 6)
+ .fieldsGrouping(new Fields("id", "follower"));
+builder.addBolt(new CountAggregator(), 2)
+ .fieldsGrouping(new Fields("id"));
+```
+
+The topology executes as four steps:
+
+1. `GetTweeters` gets the users who tweeted the URL. It transforms an input stream of `[id, url]` into an output stream of `[id, tweeter]`. Each `url` tuple will map to many `tweeter` tuples.
+2. `GetFollowers` gets the followers for the tweeters. It transforms an input stream of `[id, tweeter]` into an output stream of `[id, follower]`. Across all the tasks, there may of course be duplication of follower tuples when someone follows multiple people who tweeted the same URL.
+3. `PartialUniquer` groups the followers stream by the follower id. This has the effect of the same follower going to the same task. So each task of `PartialUniquer` will receive mutually independent sets of followers. Once `PartialUniquer` receives all the follower tuples directed at it for the request id, it emits the unique count of its subset of followers.
+4. Finally, `CountAggregator` receives the partial counts from each of the `PartialUniquer` tasks and sums them up to complete the reach computation.
+
+Let's take a look at the `PartialUniquer` bolt:
+
+```java
+public class PartialUniquer extends BaseBatchBolt {
+ BatchOutputCollector _collector;
+ Object _id;
+ Set<String> _followers = new HashSet<String>();
+
+ @Override
+ public void prepare(Map conf, TopologyContext context, BatchOutputCollector collector, Object id) {
+ _collector = collector;
+ _id = id;
+ }
+
+ @Override
+ public void execute(Tuple tuple) {
+ _followers.add(tuple.getString(1));
+ }
+
+ @Override
+ public void finishBatch() {
+ _collector.emit(new Values(_id, _followers.size()));
+ }
+
+ @Override
+ public void declareOutputFields(OutputFieldsDeclarer declarer) {
+ declarer.declare(new Fields("id", "partial-count"));
+ }
+}
+```
+
+`PartialUniquer` implements `IBatchBolt` by extending `BaseBatchBolt`. A batch bolt provides a first class API to processing a batch of tuples as a concrete unit. A new instance of the batch bolt is created for each request id, and Storm takes care of cleaning up the instances when appropriate.
+
+When `PartialUniquer` receives a follower tuple in the `execute` method, it adds it to the set for the request id in an internal `HashSet`.
+
+Batch bolts provide the `finishBatch` method which is called after all the tuples for this batch targeted at this task have been processed. In the callback, `PartialUniquer` emits a single tuple containing the unique count for its subset of follower ids.
+
+Under the hood, `CoordinatedBolt` is used to detect when a given bolt has received all of the tuples for any given request id. `CoordinatedBolt` makes use of direct streams to manage this coordination.
+
+The rest of the topology should be self-explanatory. As you can see, every single step of the reach computation is done in parallel, and defining the DRPC topology was extremely simple.
+
+### Non-linear DRPC topologies
+
+`LinearDRPCTopologyBuilder` only handles "linear" DRPC topologies, where the computation is expressed as a sequence of steps (like reach). It's not hard to imagine functions that would require a more complicated topology with branching and merging of the bolts. For now, to do this you'll need to drop down into using `CoordinatedBolt` directly. Be sure to talk about your use case for non-linear DRPC topologies on the mailing list to inform the construction of more general abstractions for [...]
+
+### How LinearDRPCTopologyBuilder works
+
+* DRPCSpout emits [args, return-info]. return-info is the host and port of the DRPC server as well as the id generated by the DRPC server
+* constructs a topology comprising of:
+ * DRPCSpout
+ * PrepareRequest (generates a request id and creates a stream for the return info and a stream for the args)
+ * CoordinatedBolt wrappers and direct groupings
+ * JoinResult (joins the result with the return info)
+ * ReturnResult (connects to the DRPC server and returns the result)
+* LinearDRPCTopologyBuilder is a good example of a higher level abstraction built on top of Storm's primitives
+
+### Advanced
+* KeyedFairBolt for weaving the processing of multiple requests at the same time
+* How to use `CoordinatedBolt` directly
diff --git a/releases/2.2.1/Eventlogging.md b/releases/2.2.1/Eventlogging.md
new file mode 100644
index 0000000..6fbf1ed
--- /dev/null
+++ b/releases/2.2.1/Eventlogging.md
@@ -0,0 +1,125 @@
+---
+title: Topology event inspector
+layout: documentation
+documentation: true
+---
+
+# Introduction
+
+Topology event inspector provides the ability to view the tuples as it flows through different stages in a storm topology.
+This could be useful for inspecting the tuples emitted at a spout or a bolt in the topology pipeline while the topology is running, without stopping or redeploying the topology. The normal flow of tuples from the spouts to the bolts is not affected by turning on event logging.
+
+## Enabling event logging
+
+Note: Event logging needs to be enabled first by setting the storm config "topology.eventlogger.executors" to a non zero value. Please see
+the [Configuration](#config) section for more details.
+
+Events can be logged by clicking the "Debug" button under the topology actions in the topology view. This logs the
+tuples from all the spouts and bolts in a topology at the specified sampling percentage.
+
+<div align="center">
+<img title="Enable Eventlogging" src="images/enable-event-logging-topology.png" style="max-width: 80rem"/>
+
+<p>Figure 1: Enable event logging at topology level.</p>
+</div>
+
+You could also enable event logging at a specific spout or bolt level by going to the corresponding component page and
+clicking "Debug" under component actions.
+
+<div align="center">
+<img title="Enable Eventlogging at component level" src="images/enable-event-logging-spout.png" style="max-width: 80rem"/>
+
+<p>Figure 2: Enable event logging at component level.</p>
+</div>
+
+## Viewing the event logs
+The Storm "logviewer" should be running for viewing the logged tuples. If not already running log viewer can be started by running the "bin/storm logviewer" command from the storm installation directory. For viewing the tuples, go to the specific spout or bolt component page from storm UI and click on the "events" link under the component summary (as highlighted in Figure 2 above).
+
+This would open up a view like below where you can navigate between different pages and view the logged tuples.
+
+<div align="center">
+<img title="Viewing logged tuples" src="images/event-logs-view.png" style="max-width: 80rem"/>
+
+<p>Figure 3: Viewing the logged events.</p>
+</div>
+
+Each line in the event log contains an entry corresponding to a tuple emitted from a specific spout/bolt in a comma separated format.
+
+`Timestamp, Component name, Component task-id, MessageId (in case of anchoring), List of emitted values`
+
+## Disabling the event logs
+
+Event logging can be disabled at a specific component or at the topology level by clicking the "Stop Debug" under the topology or component actions in the Storm UI.
+
+<div align="center">
+<img title="Disable Eventlogging at topology level" src="images/disable-event-logging-topology.png" style="max-width: 80rem"/>
+
+<p>Figure 4: Disable event logging at topology level.</p>
+</div>
+
+## <a name="config"></a>Configuration
+Eventlogging works by sending the events (tuples) from each component to an internal eventlogger bolt. By default Storm does not start any event logger tasks, but this can be easily changed by setting the below parameter while running your topology (by setting it in storm.yaml or passing options via command line).
+
+| Parameter | Meaning |
+| -------------------------------------------|-----------------------|
+| "topology.eventlogger.executors": 0 | No event logger tasks are created (default). |
+| "topology.eventlogger.executors": 1 | One event logger task for the topology. |
+| "topology.eventlogger.executors": nil | One event logger task per worker. |
+
+
+## Extending eventlogging
+
+Storm provides an `IEventLogger` interface which is used by the event logger bolt to log the events.
+
+```java
+/**
+ * EventLogger interface for logging the event info to a sink like log file or db
+ * for inspecting the events via UI for debugging.
+ */
+public interface IEventLogger {
+ /**
+ * Invoked during eventlogger bolt prepare.
+ */
+ void prepare(Map stormConf, Map<String, Object> arguments, TopologyContext context);
+
+ /**
+ * Invoked when the {@link EventLoggerBolt} receives a tuple from the spouts or bolts that has event logging enabled.
+ *
+ * @param e the event
+ */
+ void log(EventInfo e);
+
+ /**
+ * Invoked when the event logger bolt is cleaned up
+ */
+ void close();
+}
+```
+
+The default implementation for this is a FileBasedEventLogger which logs the events to an events.log file ( `logs/workers-artifacts/<topology-id>/<worker-port>/events.log`).
+Alternate implementations of the `IEventLogger` interface can be added to extend the event logging functionality (say build a search index or log the events in a database etc)
+
+If you just want to use FileBasedEventLogger but with changing the log format, you can simply implement your own by extending FileBasedEventLogger and override `buildLogMessage(EventInfo)` to provide log line explicitly.
+
+To register event logger to your topology, add to your topology's configuration like:
+
+```java
+conf.registerEventLogger(org.apache.storm.metric.FileBasedEventLogger.class);
+```
+
+You can refer [Config#registerEventLogger](javadocs/org/apache/storm/Config.html#registerEventLogger-java.lang.Class-) and overloaded methods from javadoc.
+
+Otherwise edit the storm.yaml config file:
+
+```yaml
+topology.event.logger.register:
+ - class: "org.apache.storm.metric.FileBasedEventLogger"
+ - class: "org.mycompany.MyEventLogger"
+ arguments:
+ endpoint: "event-logger.mycompany.org"
+```
+
+When you implement your own event logger, `arguments` is passed to Map<String, Object> when [IEventLogger#prepare](javadocs/org/apache/storm/metric/IEventLogger.html#prepare-java.util.Map-java.lang.Map-org.apache.storm.task.TopologyContext-) is called.
+
+Please keep in mind that EventLoggerBolt is just a kind of Bolt, so whole throughput of the topology will go down when registered event loggers cannot keep up handling incoming events, so you may want to take care of the Bolt like normal Bolt.
+One of idea to avoid this is making your implementation of IEventLogger as `non-blocking` fashion.
diff --git a/releases/2.2.1/FAQ.md b/releases/2.2.1/FAQ.md
new file mode 100644
index 0000000..525514e
--- /dev/null
+++ b/releases/2.2.1/FAQ.md
@@ -0,0 +1,127 @@
+---
+title: FAQ
+layout: documentation
+documentation: true
+---
+
+## Best Practices
+
+### What rules of thumb can you give me for configuring Storm+Trident?
+
+* number of workers a multiple of number of machines; parallelism a multiple of number of workers; number of kafka partitions a multiple of number of spout parallelism
+* Use one worker per topology per machine
+* Start with fewer, larger aggregators, one per machine with workers on it
+* Use the isolation scheduler
+* Use one acker per worker -- 0.9 makes that the default, but earlier versions do not.
+* enable GC logging; you should see very few major GCs if things are in reasonable shape.
+* set the trident batch millis to about 50% of your typical end-to-end latency.
+* Start with a max spout pending that is for sure too small -- one for trident, or the number of executors for storm -- and increase it until you stop seeing changes in the flow. You'll probably end up with something near `2*(throughput in recs/sec)*(end-to-end latency)` (2x the Little's law capacity).
+
+### What are some of the best ways to get a worker to mysteriously and bafflingly die?
+
+* Do you have write access to the log directory
+* Are you blowing out your heap?
+* Are all the right libraries installed on all of the workers?
+* Is the zookeeper hostname still set to localhost?
+* Did you supply a correct, unique hostname -- one that resolves back to the machine -- to each worker, and put it in the storm conf file?
+* Have you opened firewall/securitygroup permissions _bidirectionally_ among a) all the workers, b) the storm master, c) zookeeper? Also, from the workers to any kafka/kestrel/database/etc that your topology accesses? Use netcat to poke the appropriate ports and be sure.
+
+### Halp! I cannot see:
+
+* **my logs** Logs by default go to $STORM_HOME/logs. Check that you have write permissions to that directory. They are configured in log4j2/{cluster, worker}.xml.
+* **final JVM settings** Add the `-XX+PrintFlagsFinal` commandline option in the childopts (see the conf file)
+* **final Java system properties** Add `Properties props = System.getProperties(); props.list(System.out);` near where you build your topology.
+
+### How many Workers should I use?
+
+The total number of workers is set by the supervisors -- there's some number of JVM slots each supervisor will superintend. The thing you set on the topology is how many worker slots it will try to claim.
+
+There's no great reason to use more than one worker per topology per machine.
+
+With one topology running on three 8-core nodes, and parallelism hint 24, each bolt gets 8 executors per machine, i.e. one for each core. There are three big benefits to running three workers (with 8 assigned executors each) compare to running say 24 workers (one assigned executor each).
+
+First, data that is repartitioned (shuffles or group-bys) to executors in the same worker will not have to hit the transfer buffer. Instead, tuples are deposited directly from send to receive buffer. That's a big win. By contrast, if the destination executor were on the same machine in a different worker, it would have to go send -> worker transfer -> local socket -> worker recv -> exec recv buffer. It doesn't hit the network card, but it's not as big a win as when executors are in the s [...]
+
+Second, you're typically better off with three aggregators having very large backing cache than having twenty-four aggregators having small backing caches. This reduces the effect of skew, and improves LRU efficiency.
+
+Lastly, fewer workers reduces control flow chatter.
+
+## Topology
+
+### Can a Trident topology have Multiple Streams?
+
+> Can a Trident Topology work like a workflow with conditional paths (if-else)? e.g. A Spout (S1) connects to a bolt (B0) which based on certain values in the incoming tuple routes them to either bolt (B1) or bolt (B2) but not both.
+
+A Trident "each" operator returns a Stream object, which you can store in a variable. You can then run multiple eaches on the same Stream to split it, e.g.:
+
+ Stream s = topology.each(...).groupBy(...).aggregate(...)
+ Stream branch1 = s.each(..., FilterA)
+ Stream branch2 = s.each(..., FilterB)
+
+You can join streams with join, merge or multiReduce.
+
+At time of writing, you can't emit to multiple output streams from Trident -- see [STORM-68](https://issues.apache.org/jira/browse/STORM-68)
+
+### Why am I getting a NotSerializableException/IllegalStateException when my topology is being started up?
+
+Within the Storm lifecycle, the topology is instantiated and then serialized to byte format to be stored in ZooKeeper, prior to the topology being executed. Within this step, if a spout or bolt within the topology has an initialized unserializable property, serialization will fail. If there is a need for a field that is unserializable, initialize it within the bolt's `prepare` or spout's `open` method, which is run after the topology is delivered to the worker.
+
+## Spouts
+
+### What is a coordinator, and why are there several?
+
+A trident-spout is actually run within a storm _bolt_. The storm-spout of a trident topology is the MasterBatchCoordinator -- it coordinates trident batches and is the same no matter what spouts you use. A batch is born when the MBC dispenses a seed tuple to each of the spout-coordinators. The spout-coordinator bolts know how your particular spouts should cooperate -- so in the kafka case, it's what helps figure out what partition and offset range each spout should pull from.
+
+### What can I store into the spout's metadata record?
+
+You should only store static data, and as little of it as possible, into the metadata record (note: maybe you _can_ store more interesting things; you shouldn't, though)
+
+### How often is the 'emitPartitionBatchNew' function called?
+
+Since the MBC is the actual spout, all the tuples in a batch are just members of its tupletree. That means storm's "max spout pending" config effectively defines the number of concurrent batches trident runs. The MBC emits a new batch if it has fewer than max-spending tuples pending and if at least one [trident batch interval]({{page.git-blob-base}}/conf/defaults.yaml#L115)'s worth of seconds has passed since the last batch.
+
+### If nothing was emitted does Trident slow down the calls?
+
+Yes, there's a pluggable "spout wait strategy"; the default is to sleep for a [configurable amount of time]({{page.git-blob-base}}/conf/defaults.yaml#L110)
+
+### OK, then what is the trident batch interval for?
+
+You know how computers of the 486 era had a [turbo button](http://en.wikipedia.org/wiki/Turbo_button) on them? It's like that.
+
+Actually, it has two practical uses. One is to throttle spouts that poll a remote source without throttling processing. For example, we have a spout that looks in a given S3 bucket for a new batch-uploaded file to read, linebreak and emit. We don't want it hitting S3 more than every few seconds: files don't show up more than once every few minutes, and a batch takes a few seconds to process.
+
+The other is to limit overpressure on the internal queues during startup or under a heavy burst load -- if the spouts spring to life and suddenly jam ten batches' worth of records into the system, you could have a mass of less-urgent tuples from batch 7 clog up the transfer buffer and prevent the $commit tuple from batch 3 to get through (or even just the regular old tuples from batch 3). What we do is set the trident batch interval to about half the typical end-to-end processing latency [...]
+
+Note that this is a cap, not an additional delay -- with a period of 300ms, if your batch takes 258ms Trident will only delay an additional 42ms.
+
+### How do you set the batch size?
+
+Trident doesn't place its own limits on the batch count. In the case of the Kafka spout, the max fetch bytes size divided by the average record size defines an effective records per subbatch partition.
+
+### How do I resize a batch?
+
+The trident batch is a somewhat overloaded facility. Together with the number of partitions, the batch size is constrained by or serves to define
+
+1. the unit of transactional safety (tuples at risk vs time)
+2. per partition, an effective windowing mechanism for windowed stream analytics
+3. per partition, the number of simultaneous queries that will be made by a partitionQuery, partitionPersist, etc;
+4. per partition, the number of records convenient for the spout to dispatch at the same time;
+
+You can't change the overall batch size once generated, but you can change the number of partitions -- do a shuffle and then change the parallelism hint
+
+## Time Series
+
+### How do I aggregate events by time?
+
+If you have records with an immutable timestamp, and you would like to count, average or otherwise aggregate them into discrete time buckets, Trident is an excellent and scalable solution.
+
+Write an `Each` function that turns the timestamp into a time bucket: if the bucket size was "by hour", then the timestamp `2013-08-08 12:34:56` would be mapped to the `2013-08-08 12:00:00` time bucket, and so would everything else in the twelve o'clock hour. Then group on that timebucket and use a grouped persistentAggregate. The persistentAggregate uses a local cacheMap backed by a data store. Groups with many records require very few reads from the data store, and use efficient bulk r [...]
+
+### How can I know that all records for a time bucket have been received?
+
+You cannot know that all events are collected -- this is an epistemological challenge, not a distributed systems challenge. You can:
+
+* Set a time limit using domain knowledge
+* Introduce a _punctuation_: a record known to come after all records in the given time bucket. Trident uses this scheme to know when a batch is complete. If you for instance receive records from a set of sensors, each in order for that sensor, then once all sensors have sent you a 3:02:xx or later timestamp lets you know you can commit.
+* When possible, make your process incremental: each value that comes in makes the answer more and more true. A Trident ReducerAggregator is an operator that takes a prior result and a set of new records and returns a new result. This lets the result be cached and serialized to a datastore; if a server drops off line for a day and then comes back with a full day's worth of data in a rush, the old results will be calmly retrieved and updated.
+* Lambda architecture: Record all events into an archival store (S3, HBase, HDFS) on receipt. in the fast layer, once the time window is clear, process the bucket to get an actionable answer, and ignore everything older than the time window. Periodically run a global aggregation to calculate a "correct" answer.
diff --git a/releases/2.2.1/Fault-tolerance.md b/releases/2.2.1/Fault-tolerance.md
new file mode 100644
index 0000000..9a7a349
--- /dev/null
+++ b/releases/2.2.1/Fault-tolerance.md
@@ -0,0 +1,28 @@
+---
+layout: documentation
+---
+This page explains the design details of Storm that make it a fault-tolerant system.
+
+## What happens when a worker dies?
+
+When a worker dies, the supervisor will restart it. If it continuously fails on startup and is unable to heartbeat to Nimbus, Nimbus will reassign the worker to another machine.
+
+## What happens when a node dies?
+
+The tasks assigned to that machine will time-out and Nimbus will reassign those tasks to other machines.
+
+## What happens when Nimbus or Supervisor daemons die?
+
+The Nimbus and Supervisor daemons are designed to be fail-fast (process self-destructs whenever any unexpected situation is encountered) and stateless (all state is kept in Zookeeper or on disk). As described in [Setting up a Storm cluster](Setting-up-a-Storm-cluster.html), the Nimbus and Supervisor daemons must be run under supervision using a tool like daemontools or monit. So if the Nimbus or Supervisor daemons die, they restart like nothing happened.
+
+Most notably, no worker processes are affected by the death of Nimbus or the Supervisors. This is in contrast to Hadoop, where if the JobTracker dies, all the running jobs are lost.
+
+## Is Nimbus a single point of failure?
+
+If you lose the Nimbus node, the workers will still continue to function. Additionally, supervisors will continue to restart workers if they die. However, without Nimbus, workers won't be reassigned to other machines when necessary (like if you lose a worker machine).
+
+So the answer is that Nimbus is "sort of" a SPOF. In practice, it's not a big deal since nothing catastrophic happens when the Nimbus daemon dies. There are plans to make Nimbus highly available in the future.
+
+## How does Storm guarantee data processing?
+
+Storm provides mechanisms to guarantee data processing even if nodes die or messages are lost. See [Guaranteeing message processing](Guaranteeing-message-processing.html) for the details.
diff --git a/releases/2.2.1/Generic-resources.md b/releases/2.2.1/Generic-resources.md
new file mode 100644
index 0000000..f3bfe3e
--- /dev/null
+++ b/releases/2.2.1/Generic-resources.md
@@ -0,0 +1,39 @@
+---
+title: Generic Resources
+layout: documentation
+documentation: true
+---
+
+### Generic Resources
+Generic Resources allow Storm to reference arbitrary resource types. Generic Resources may be considered an extension of the resources enumerated by the [Resource Aware Scheduler](Resource_Aware_Scheduler_overview.html), which accounts for CPU and memory.
+
+### API Overview
+For a Storm Topology, the user can now specify the amount of generic resources a topology component (i.e. Spout or Bolt) is required to run a single instance of the component. The user can specify the resource requirement for a topology component by using the following API call.
+```
+ public T addResource(String resourceName, Number resourceValue)
+```
+Parameters:
+- resourceName – The name of the generic resource
+- resourceValue – The amount of the generic resource
+
+Example of Usage:
+```
+ SpoutDeclarer s1 = builder.setSpout("word", new TestWordSpout(), 10);
+ s1.addResouce("gpu.count", 1.0);
+```
+
+### Specifying Generic Cluster Resources
+
+A storm administrator can specify node resource availability by modifying the _conf/storm.yaml_ file located in the storm home directory of that node.
+```
+ supervisor.resources.map: {[type<String>] : [amount<Double>]}
+```
+Example of Usage:
+```
+ supervisor.resources.map: {"gpu.count" : 2.0}
+```
+
+
+### Generic Resources in UI
+
+
diff --git a/releases/2.2.1/Guaranteeing-message-processing.md b/releases/2.2.1/Guaranteeing-message-processing.md
new file mode 100644
index 0000000..4c2314c
--- /dev/null
+++ b/releases/2.2.1/Guaranteeing-message-processing.md
@@ -0,0 +1,181 @@
+---
+title: Guaranteeing Message Processing
+layout: documentation
+documentation: true
+---
+Storm offers several different levels of guaranteed message processing, including best effort, at least once, and exactly once through [Trident](Trident-tutorial.html).
+This page describes how Storm can guarantee at least once processing.
+
+### What does it mean for a message to be "fully processed"?
+
+A tuple coming off a spout can trigger thousands of tuples to be created based on it. Consider, for example, the streaming word count topology:
+
+```java
+TopologyBuilder builder = new TopologyBuilder();
+builder.setSpout("sentences", new KestrelSpout("kestrel.backtype.com",
+ 22133,
+ "sentence_queue",
+ new StringScheme()));
+builder.setBolt("split", new SplitSentence(), 10)
+ .shuffleGrouping("sentences");
+builder.setBolt("count", new WordCount(), 20)
+ .fieldsGrouping("split", new Fields("word"));
+```
+
+This topology reads sentences off of a Kestrel queue, splits the sentences into its constituent words, and then emits for each word the number of times it has seen that word before. A tuple coming off the spout triggers many tuples being created based on it: a tuple for each word in the sentence and a tuple for the updated count for each word. The tree of messages looks something like this:
+
+
+
+Storm considers a tuple coming off a spout "fully processed" when the tuple tree has been exhausted and every message in the tree has been processed. A tuple is considered failed when its tree of messages fails to be fully processed within a specified timeout. This timeout can be configured on a topology-specific basis using the [Config.TOPOLOGY_MESSAGE_TIMEOUT_SECS](javadocs/org/apache/storm/Config.html#TOPOLOGY_MESSAGE_TIMEOUT_SECS) configuration and defaults to 30 seconds.
+
+### What happens if a message is fully processed or fails to be fully processed?
+
+To understand this question, let's take a look at the lifecycle of a tuple coming off of a spout. For reference, here is the interface that spouts implement (see the [Javadoc](javadocs/org/apache/storm/spout/ISpout.html) for more information):
+
+```java
+public interface ISpout extends Serializable {
+ void open(Map conf, TopologyContext context, SpoutOutputCollector collector);
+ void close();
+ void nextTuple();
+ void ack(Object msgId);
+ void fail(Object msgId);
+}
+```
+
+First, Storm requests a tuple from the `Spout` by calling the `nextTuple` method on the `Spout`. The `Spout` uses the `SpoutOutputCollector` provided in the `open` method to emit a tuple to one of its output streams. When emitting a tuple, the `Spout` provides a "message id" that will be used to identify the tuple later. For example, the `KestrelSpout` reads a message off of the kestrel queue and emits as the "message id" the id provided by Kestrel for the message. Emitting a message to [...]
+
+```java
+_collector.emit(new Values("field1", "field2", 3) , msgId);
+```
+
+Next, the tuple gets sent to consuming bolts and Storm takes care of tracking the tree of messages that is created. If Storm detects that a tuple is fully processed, Storm will call the `ack` method on the originating `Spout` task with the message id that the `Spout` provided to Storm. Likewise, if the tuple times-out Storm will call the `fail` method on the `Spout`. Note that a tuple will be acked or failed by the exact same `Spout` task that created it. So if a `Spout` is executing as [...]
+
+Let's use `KestrelSpout` again to see what a `Spout` needs to do to guarantee message processing. When `KestrelSpout` takes a message off the Kestrel queue, it "opens" the message. This means the message is not actually taken off the queue yet, but instead placed in a "pending" state waiting for acknowledgement that the message is completed. While in the pending state, a message will not be sent to other consumers of the queue. Additionally, if a client disconnects all pending messages f [...]
+
+### What is Storm's reliability API?
+
+There are two things you have to do as a user to benefit from Storm's reliability capabilities. First, you need to tell Storm whenever you're creating a new link in the tree of tuples. Second, you need to tell Storm when you have finished processing an individual tuple. By doing both these things, Storm can detect when the tree of tuples is fully processed and can ack or fail the spout tuple appropriately. Storm's API provides a concise way of doing both of these tasks.
+
+Specifying a link in the tuple tree is called _anchoring_. Anchoring is done at the same time you emit a new tuple. Let's use the following bolt as an example. This bolt splits a tuple containing a sentence into a tuple for each word:
+
+```java
+public class SplitSentence extends BaseRichBolt {
+ OutputCollector _collector;
+
+ public void prepare(Map conf, TopologyContext context, OutputCollector collector) {
+ _collector = collector;
+ }
+
+ public void execute(Tuple tuple) {
+ String sentence = tuple.getString(0);
+ for(String word: sentence.split(" ")) {
+ _collector.emit(tuple, new Values(word));
+ }
+ _collector.ack(tuple);
+ }
+
+ public void declareOutputFields(OutputFieldsDeclarer declarer) {
+ declarer.declare(new Fields("word"));
+ }
+ }
+```
+
+Each word tuple is _anchored_ by specifying the input tuple as the first argument to `emit`. Since the word tuple is anchored, the spout tuple at the root of the tree will be replayed later on if the word tuple failed to be processed downstream. In contrast, let's look at what happens if the word tuple is emitted like this:
+
+```java
+_collector.emit(new Values(word));
+```
+
+Emitting the word tuple this way causes it to be _unanchored_. If the tuple fails be processed downstream, the root tuple will not be replayed. Depending on the fault-tolerance guarantees you need in your topology, sometimes it's appropriate to emit an unanchored tuple.
+
+An output tuple can be anchored to more than one input tuple. This is useful when doing streaming joins or aggregations. A multi-anchored tuple failing to be processed will cause multiple tuples to be replayed from the spouts. Multi-anchoring is done by specifying a list of tuples rather than just a single tuple. For example:
+
+```java
+List<Tuple> anchors = new ArrayList<Tuple>();
+anchors.add(tuple1);
+anchors.add(tuple2);
+_collector.emit(anchors, new Values(1, 2, 3));
+```
+
+Multi-anchoring adds the output tuple into multiple tuple trees. Note that it's also possible for multi-anchoring to break the tree structure and create tuple DAGs, like so:
+
+
+
+Storm's implementation works for DAGs as well as trees (pre-release it only worked for trees, and the name "tuple tree" stuck).
+
+Anchoring is how you specify the tuple tree -- the next and final piece to Storm's reliability API is specifying when you've finished processing an individual tuple in the tuple tree. This is done by using the `ack` and `fail` methods on the `OutputCollector`. If you look back at the `SplitSentence` example, you can see that the input tuple is acked after all the word tuples are emitted.
+
+You can use the `fail` method on the `OutputCollector` to immediately fail the spout tuple at the root of the tuple tree. For example, your application may choose to catch an exception from a database client and explicitly fail the input tuple. By failing the tuple explicitly, the spout tuple can be replayed faster than if you waited for the tuple to time-out.
+
+Every tuple you process must be acked or failed. Storm uses memory to track each tuple, so if you don't ack/fail every tuple, the task will eventually run out of memory.
+
+A lot of bolts follow a common pattern of reading an input tuple, emitting tuples based on it, and then acking the tuple at the end of the `execute` method. These bolts fall into the categories of filters and simple functions. Storm has an interface called `BasicBolt` that encapsulates this pattern for you. The `SplitSentence` example can be written as a `BasicBolt` like follows:
+
+```java
+public class SplitSentence extends BaseBasicBolt {
+ public void execute(Tuple tuple, BasicOutputCollector collector) {
+ String sentence = tuple.getString(0);
+ for(String word: sentence.split(" ")) {
+ collector.emit(new Values(word));
+ }
+ }
+
+ public void declareOutputFields(OutputFieldsDeclarer declarer) {
+ declarer.declare(new Fields("word"));
+ }
+ }
+```
+
+This implementation is simpler than the implementation from before and is semantically identical. Tuples emitted to `BasicOutputCollector` are automatically anchored to the input tuple, and the input tuple is acked for you automatically when the execute method completes.
+
+In contrast, bolts that do aggregations or joins may delay acking a tuple until after it has computed a result based on a bunch of tuples. Aggregations and joins will commonly multi-anchor their output tuples as well. These things fall outside the simpler pattern of `IBasicBolt`.
+
+### How do I make my applications work correctly given that tuples can be replayed?
+
+As always in software design, the answer is "it depends." If you really want exactly once semantics use the [Trident](Trident-tutorial.html) API. In some cases, like with a lot of analytics, dropping data is OK so disabling the fault tolerance by setting the number of acker bolts to 0 [Config.TOPOLOGY_ACKERS](javadocs/org/apache/storm/Config.html#TOPOLOGY_ACKERS). But in some cases you want to be sure that everything was processed at least once and nothing was dropped. This is especial [...]
+
+### How does Storm implement reliability in an efficient way?
+
+A Storm topology has a set of special "acker" tasks that track the DAG of tuples for every spout tuple. When an acker sees that a DAG is complete, it sends a message to the spout task that created the spout tuple to ack the message. You can set the number of acker tasks for a topology in the topology configuration using [Config.TOPOLOGY_ACKERS](javadocs/org/apache/storm/Config.html#TOPOLOGY_ACKERS). Storm defaults TOPOLOGY_ACKERS to one task per worker.
+
+The best way to understand Storm's reliability implementation is to look at the lifecycle of tuples and tuple DAGs. When a tuple is created in a topology, whether in a spout or a bolt, it is given a random 64 bit id. These ids are used by ackers to track the tuple DAG for every spout tuple.
+
+Every tuple knows the ids of all the spout tuples for which it exists in their tuple trees. When you emit a new tuple in a bolt, the spout tuple ids from the tuple's anchors are copied into the new tuple. When a tuple is acked, it sends a message to the appropriate acker tasks with information about how the tuple tree changed. In particular it tells the acker "I am now completed within the tree for this spout tuple, and here are the new tuples in the tree that were anchored to me".
+
+For example, if tuples "D" and "E" were created based on tuple "C", here's how the tuple tree changes when "C" is acked:
+
+
+
+Since "C" is removed from the tree at the same time that "D" and "E" are added to it, the tree can never be prematurely completed.
+
+There are a few more details to how Storm tracks tuple trees. As mentioned already, you can have an arbitrary number of acker tasks in a topology. This leads to the following question: when a tuple is acked in the topology, how does it know to which acker task to send that information?
+
+Storm uses mod hashing to map a spout tuple id to an acker task. Since every tuple carries with it the spout tuple ids of all the trees they exist within, they know which acker tasks to communicate with.
+
+Another detail of Storm is how the acker tasks track which spout tasks are responsible for each spout tuple they're tracking. When a spout task emits a new tuple, it simply sends a message to the appropriate acker telling it that its task id is responsible for that spout tuple. Then when an acker sees a tree has been completed, it knows to which task id to send the completion message.
+
+Acker tasks do not track the tree of tuples explicitly. For large tuple trees with tens of thousands of nodes (or more), tracking all the tuple trees could overwhelm the memory used by the ackers. Instead, the ackers take a different strategy that only requires a fixed amount of space per spout tuple (about 20 bytes). This tracking algorithm is the key to how Storm works and is one of its major breakthroughs.
+
+An acker task stores a map from a spout tuple id to a pair of values. The first value is the task id that created the spout tuple which is used later on to send completion messages. The second value is a 64 bit number called the "ack val". The ack val is a representation of the state of the entire tuple tree, no matter how big or how small. It is simply the xor of all tuple ids that have been created and/or acked in the tree.
+
+When an acker task sees that an "ack val" has become 0, then it knows that the tuple tree is completed. Since tuple ids are random 64 bit numbers, the chances of an "ack val" accidentally becoming 0 is extremely small. If you work the math, at 10K acks per second, it will take 50,000,000 years until a mistake is made. And even then, it will only cause data loss if that tuple happens to fail in the topology.
+
+Now that you understand the reliability algorithm, let's go over all the failure cases and see how in each case Storm avoids data loss:
+
+- **A tuple isn't acked because the task died**: In this case the spout tuple ids at the root of the trees for the failed tuple will time out and be replayed.
+- **Acker task dies**: In this case all the spout tuples the acker was tracking will time out and be replayed.
+- **Spout task dies**: In this case the source that the spout talks to is responsible for replaying the messages. For example, queues like Kestrel and RabbitMQ will place all pending messages back on the queue when a client disconnects.
+
+As you have seen, Storm's reliability mechanisms are completely distributed, scalable, and fault-tolerant.
+
+### Tuning reliability
+
+Acker tasks are lightweight, so you don't need very many of them in a topology. You can track their performance through the Storm UI (component id "__acker"). If the throughput doesn't look right, you'll need to add more acker tasks.
+
+If reliability isn't important to you -- that is, you don't care about losing tuples in failure situations -- then you can improve performance by not tracking the tuple tree for spout tuples. Not tracking a tuple tree halves the number of messages transferred since normally there's an ack message for every tuple in the tuple tree. Additionally, it requires fewer ids to be kept in each downstream tuple, reducing bandwidth usage.
+
+There are three ways to remove reliability. The first is to set Config.TOPOLOGY_ACKERS to 0. In this case, Storm will call the `ack` method on the spout immediately after the spout emits a tuple. The tuple tree won't be tracked.
+
+The second way is to remove reliability on a message by message basis. You can turn off tracking for an individual spout tuple by omitting a message id in the `SpoutOutputCollector.emit` method.
+
+Finally, if you don't care if a particular subset of the tuples downstream in the topology fail to be processed, you can emit them as unanchored tuples. Since they're not anchored to any spout tuples, they won't cause any spout tuples to fail if they aren't acked.
diff --git a/releases/2.2.1/Hooks.md b/releases/2.2.1/Hooks.md
new file mode 100644
index 0000000..450a560
--- /dev/null
+++ b/releases/2.2.1/Hooks.md
@@ -0,0 +1,13 @@
+---
+title: Hooks
+layout: documentation
+documentation: true
+---
+## Task hooks
+Storm provides hooks with which you can insert custom code to run on any number of events within Storm. You create a hook by extending the [BaseTaskHook](javadocs/org/apache/storm/hooks/BaseTaskHook.html) class and overriding the appropriate method for the event you want to catch. There are two ways to register your hook:
+
+1. In the open method of your spout or prepare method of your bolt using the [TopologyContext](javadocs/org/apache/storm/task/TopologyContext.html#addTaskHook) method.
+2. Through the Storm configuration using the ["topology.auto.task.hooks"](javadocs/org/apache/storm/Config.html#TOPOLOGY_AUTO_TASK_HOOKS) config. These hooks are automatically registered in every spout or bolt, and are useful for doing things like integrating with a custom monitoring system.
+
+## Worker hooks
+Storm also provides worker-level hooks that are called during worker startup, before any bolts or spouts are prepared/opened. You can create such a hook by extending [BaseWorkerHook](javadocs/org/apache/storm/hooks/BaseWorkerHook) and overriding the methods you want to implement. You can register your hook via `TopologyBuilder.addWorkerHook`.
diff --git a/releases/2.2.1/IConfigLoader.md b/releases/2.2.1/IConfigLoader.md
new file mode 100644
index 0000000..3c2f4de
--- /dev/null
+++ b/releases/2.2.1/IConfigLoader.md
@@ -0,0 +1,51 @@
+---
+title: IConfigLoader
+layout: documentation
+documentation: true
+---
+
+
+### Introduction
+IConfigLoader is an interface designed to allow dynamic loading of scheduler resource constraints. Currently, the MultiTenant scheduler uses this interface to dynamically load the number of isolated nodes a given user has been guaranteed, and the ResoureAwareScheduler uses the interface to dynamically load per user resource guarantees.
+
+The following interface is provided for users to create an IConfigLoader instance based on the scheme of the `scheduler.config.loader.uri`.
+```
+ConfigLoaderFactoryService.createConfigLoader(Map<String, Object> conf)
+```
+
+------
+
+### Interface
+```
+public interface IConfigLoader {
+ Map<?,?> load();
+};
+```
+#### Description
+ - load is called by the scheduler whenever it wishes to retrieve the most recent configuration map.
+
+#### Loader Configuration
+The loaders are dynamically selected and dynamically configured through configuration items in the scheduler implementations.
+
+##### Example
+```
+scheduler.config.loader.uri: "artifactory+http://artifactory.my.company.com:8000/artifactory/configurations/clusters/my_cluster/ras_pools"
+scheduler.config.loader.timeout.sec: 30
+```
+Or
+```
+scheduler.config.loader.uri: "file:///path/to/my/config.yaml"
+```
+### Implementations
+
+There are currently two implemenations of IConfigLoader
+ - org.apache.storm.scheduler.utils.ArtifactoryConfigLoader: Load configurations from an Artifactory server.
+ It will be used if users add `artifactory+` to the scheme of the real URI and set to `scheduler.config.loader.uri`.
+ - org.apache.storm.scheduler.utils.FileConfigLoader: Load configurations from a local file. It will be used if users use `file` scheme.
+
+#### Configurations
+ - scheduler.config.loader.uri: For `ArtifactoryConfigLoader`, this can either be a reference to an individual file in Artifactory or to a directory. If it is a directory, the file with the largest lexographic name will be returned.
+ For `FileConfigLoader`, this is the URI pointing to a file.
+ - scheduler.config.loader.timeout.secs: Currently only used in `ArtifactoryConfigLoader`. It is the amount of time an http connection to the artifactory server will wait before timing out. The default is 10.
+ - scheduler.config.loader.polltime.secs: Currently only used in `ArtifactoryConfigLoader`. It is the frequency at which the plugin will call out to artifactory instead of returning the most recently cached result. The default is 600 seconds.
+ - scheduler.config.loader.artifactory.base.directory: Only used in `ArtifactoryConfigLoader`. It is the part of the uri, configurable in Artifactory, which represents the top of the directory tree. It defaults to "/artifactory".
\ No newline at end of file
diff --git a/releases/2.2.1/Implementation-docs.md b/releases/2.2.1/Implementation-docs.md
new file mode 100644
index 0000000..93459f3
--- /dev/null
+++ b/releases/2.2.1/Implementation-docs.md
@@ -0,0 +1,14 @@
+---
+title: Storm Internal Implementation
+layout: documentation
+documentation: true
+---
+This section of the wiki is dedicated to explaining how Storm is implemented. You should have a good grasp of how to use Storm before reading these sections.
+
+- [Structure of the codebase](Structure-of-the-codebase.html)
+- [Lifecycle of a topology](Lifecycle-of-a-topology.html)
+- [Message passing implementation](Message-passing-implementation.html)
+- [Acking framework implementation](Acking-framework-implementation.html)
+- [Metrics](Metrics.html)
+- [Nimbus HA](nimbus-ha-design.html)
+- [Storm SQL](storm-sql-internal.html)
diff --git a/releases/2.2.1/Installing-native-dependencies.md b/releases/2.2.1/Installing-native-dependencies.md
new file mode 100644
index 0000000..1937d4b
--- /dev/null
+++ b/releases/2.2.1/Installing-native-dependencies.md
@@ -0,0 +1,38 @@
+---
+layout: documentation
+---
+The native dependencies are only needed on actual Storm clusters. When running Storm in local mode, Storm uses a pure Java messaging system so that you don't need to install native dependencies on your development machine.
+
+Installing ZeroMQ and JZMQ is usually straightforward. Sometimes, however, people run into issues with autoconf and get strange errors. If you run into any issues, please email the [Storm mailing list](http://groups.google.com/group/storm-user) or come get help in the #storm-user room on freenode.
+
+Storm has been tested with ZeroMQ 2.1.7, and this is the recommended ZeroMQ release that you install. You can download a ZeroMQ release [here](http://download.zeromq.org/). Installing ZeroMQ should look something like this:
+
+```
+wget http://download.zeromq.org/zeromq-2.1.7.tar.gz
+tar -xzf zeromq-2.1.7.tar.gz
+cd zeromq-2.1.7
+./configure
+make
+sudo make install
+```
+
+JZMQ is the Java bindings for ZeroMQ. JZMQ doesn't have any releases (we're working with them on that), so there is risk of a regression if you always install from the master branch. To prevent a regression from happening, you should instead install from [this fork](http://github.com/nathanmarz/jzmq) which is tested to work with Storm. Installing JZMQ should look something like this:
+
+```
+#install jzmq
+git clone https://github.com/nathanmarz/jzmq.git
+cd jzmq
+./autogen.sh
+./configure
+make
+sudo make install
+```
+
+To get the JZMQ build to work, you may need to do one or all of the following:
+
+1. Set JAVA_HOME environment variable appropriately
+2. Install Java dev package (more info [here](http://codeslinger.posterous.com/getting-zeromq-and-jzmq-running-on-mac-os-x) for Mac OSX users)
+3. Upgrade autoconf on your machine
+4. Follow the instructions in [this blog post](http://blog.pmorelli.com/getting-zeromq-and-jzmq-running-on-mac-os-x)
+
+If you run into any errors when running `./configure`, [this thread](http://stackoverflow.com/questions/3522248/how-do-i-compile-jzmq-for-zeromq-on-osx) may provide a solution.
diff --git a/releases/2.2.1/Joins.md b/releases/2.2.1/Joins.md
new file mode 100644
index 0000000..9efb7c6
--- /dev/null
+++ b/releases/2.2.1/Joins.md
@@ -0,0 +1,139 @@
+---
+title: Joining Streams in Storm Core
+layout: documentation
+documentation: true
+---
+
+Storm core supports joining multiple data streams into one with the help of `JoinBolt`.
+`JoinBolt` is a Windowed bolt, i.e. it waits for the configured window duration to match up the
+tuples among the streams being joined. This helps align the streams within a Window boundary.
+
+Each of `JoinBolt`'s incoming data streams must be Fields Grouped on a single field. A stream
+should only be joined with the other streams using the field on which it has been FieldsGrouped.
+Knowing this will help understand the join syntax described below.
+
+## Performing Joins
+Consider the following SQL join involving 4 tables:
+
+```sql
+select userId, key4, key2, key3
+from table1
+inner join table2 on table2.userId = table1.key1
+inner join table3 on table3.key3 = table2.userId
+left join table4 on table4.key4 = table3.key3
+```
+
+Similar joins could be expressed on tuples generated by 4 spouts using `JoinBolt`:
+
+```java
+JoinBolt jbolt = new JoinBolt("spout1", "key1") // from spout1
+ .join ("spout2", "userId", "spout1") // inner join spout2 on spout2.userId = spout1.key1
+ .join ("spout3", "key3", "spout2") // inner join spout3 on spout3.key3 = spout2.userId
+ .leftJoin ("spout4", "key4", "spout3") // left join spout4 on spout4.key4 = spout3.key3
+ .select ("userId, key4, key2, spout3:key3") // chose output fields
+ .withTumblingWindow( new Duration(10, TimeUnit.MINUTES) ) ;
+
+topoBuilder.setBolt("joiner", jbolt, 1)
+ .fieldsGrouping("spout1", new Fields("key1") )
+ .fieldsGrouping("spout2", new Fields("userId") )
+ .fieldsGrouping("spout3", new Fields("key3") )
+ .fieldsGrouping("spout4", new Fields("key4") );
+```
+
+The bolt constructor takes two arguments. The 1st argument introduces the data from `spout1`
+to be the first stream and specifies that it will always use field `key1` when joining this with the others streams.
+The name of the component specified must refer to the spout or bolt that is directly connected to the Join bolt.
+Here data received from `spout1` must be fields grouped on `key1`. Similarly, each of the `leftJoin()` and `join()` method
+calls introduce a new stream along with the field to use for the join. As seen in above example, the same FieldsGrouping
+requirement applies to these streams as well. The 3rd argument to the join methods refers to another stream with which
+to join.
+
+The `select()` method is used to specify the output fields. The argument to `select` is a comma separated list of fields.
+Individual field names can be prefixed with a stream name to disambiguate between the same field name occurring in
+multiple streams as follows: `.select("spout3:key3, spout4:key3")`. Nested tuple types are supported if the
+nesting has been done using `Map`s. For example `outer.inner.innermost` refers to a field that is nested three levels
+deep where `outer` and `inner` are of type `Map`.
+
+Stream name prefix is not allowed for the fields in any of the join() arguments, but nested fields are supported.
+
+The call to `withTumblingWindow()` above, configures the join window to be a 10 minute tumbling window. Since `JoinBolt`
+is a Windowed Bolt, we can also use the `withWindow` method to configure it as a sliding window (see tips section below).
+
+## Stream names and Join order
+* Stream names must be introduced (in constructor or as 1st arg to various join methods) before being referred
+to (in the 3rd argument of the join methods). Forward referencing of stream names, as shown below, is not allowed:
+
+```java
+new JoinBolt( "spout1", "key1")
+ .join ( "spout2", "userId", "spout3") //not allowed. spout3 not yet introduced
+ .join ( "spout3", "key3", "spout1")
+```
+* Internally, the joins will be performed in the order expressed by the user.
+
+## Joining based on Stream names
+
+For simplicity, Storm topologies often use the `default` stream. Topologies can also use named streams
+instead of `default` streams. To support such topologies, `JoinBolt` can be configured to use stream
+names, instead of source component (spout/bolt) names, via the constructor's first argument:
+
+```java
+new JoinBolt(JoinBolt.Selector.STREAM, "stream1", "key1")
+ .join("stream2", "key2")
+ ...
+```
+The first argument `JoinBolt.Selector.STREAM` informs the bolt that `stream1/2/3/4` refer to named streams
+(as opposed to names of upstream spouts/bolts).
+
+
+The below example joins two named streams from four spouts:
+
+```java
+new JoinBolt(JoinBolt.Selector.STREAM, "stream1", "key1")
+ .join ("stream2", "userId", "stream1" )
+ .select ("userId, key1, key2")
+ .withTumblingWindow( new Duration(10, TimeUnit.MINUTES) ) ;
+
+topoBuilder.setBolt("joiner", jbolt, 1)
+ .fieldsGrouping("bolt1", "stream1", new Fields("key1") )
+ .fieldsGrouping("bolt2", "stream1", new Fields("key1") )
... 2222690 lines suppressed ...