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Posted to commits@hudi.apache.org by GitBox <gi...@apache.org> on 2021/10/25 06:04:56 UTC
[GitHub] [hudi] yihua opened a new pull request #3857: [WIP][HUDI-2332] Add clustering and compaction in Kafka Connect Sink
yihua opened a new pull request #3857:
URL: https://github.com/apache/hudi/pull/3857
## What is the purpose of the pull request
This PR adds the functionality of clustering and compaction in Kafka Connect Sink for Hudi.
## Brief change log
## Verify this pull request
*(Please pick either of the following options)*
This pull request is a trivial rework / code cleanup without any test coverage.
*(or)*
This pull request is already covered by existing tests, such as *(please describe tests)*.
(or)
This change added tests and can be verified as follows:
*(example:)*
- *Added integration tests for end-to-end.*
- *Added HoodieClientWriteTest to verify the change.*
- *Manually verified the change by running a job locally.*
## Committer checklist
- [ ] Has a corresponding JIRA in PR title & commit
- [ ] Commit message is descriptive of the change
- [ ] CI is green
- [ ] Necessary doc changes done or have another open PR
- [ ] For large changes, please consider breaking it into sub-tasks under an umbrella JIRA.
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[GitHub] [hudi] hudi-bot commented on pull request #3857: [WIP][HUDI-2332] Add clustering and compaction in Kafka Connect Sink
Posted by GitBox <gi...@apache.org>.
hudi-bot commented on pull request #3857:
URL: https://github.com/apache/hudi/pull/3857#issuecomment-961588637
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## CI report:
* 4ed0cb6d22e74ef6185bedda83b6f547839de05b Azure: [FAILURE](https://dev.azure.com/apache-hudi-ci-org/785b6ef4-2f42-4a89-8f0e-5f0d7039a0cc/_build/results?buildId=3040)
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[GitHub] [hudi] hudi-bot edited a comment on pull request #3857: [WIP][HUDI-2332] Add clustering and compaction in Kafka Connect Sink
Posted by GitBox <gi...@apache.org>.
hudi-bot edited a comment on pull request #3857:
URL: https://github.com/apache/hudi/pull/3857#issuecomment-950560156
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## CI report:
* 91e3f903618b7a9999c14f4e2fd7a1ee83c979a0 Azure: [FAILURE](https://dev.azure.com/apache-hudi-ci-org/785b6ef4-2f42-4a89-8f0e-5f0d7039a0cc/_build/results?buildId=3025)
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[GitHub] [hudi] hudi-bot commented on pull request #3857: [WIP][HUDI-2332] Add clustering and compaction in Kafka Connect Sink
Posted by GitBox <gi...@apache.org>.
hudi-bot commented on pull request #3857:
URL: https://github.com/apache/hudi/pull/3857#issuecomment-963837867
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## CI report:
* 4ed0cb6d22e74ef6185bedda83b6f547839de05b Azure: [FAILURE](https://dev.azure.com/apache-hudi-ci-org/785b6ef4-2f42-4a89-8f0e-5f0d7039a0cc/_build/results?buildId=3040)
* 7983f30cba280fd58848bd363bdf67a7f1467b26 UNKNOWN
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[GitHub] [hudi] hudi-bot commented on pull request #3857: [WIP][HUDI-2332] Add clustering and compaction in Kafka Connect Sink
Posted by GitBox <gi...@apache.org>.
hudi-bot commented on pull request #3857:
URL: https://github.com/apache/hudi/pull/3857#issuecomment-968683302
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* e30fc7315301697690964e66b4aa35cc1e186aca Azure: [FAILURE](https://dev.azure.com/apache-hudi-ci-org/785b6ef4-2f42-4a89-8f0e-5f0d7039a0cc/_build/results?buildId=3373)
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[GitHub] [hudi] hudi-bot removed a comment on pull request #3857: [WIP][HUDI-2332] Add clustering and compaction in Kafka Connect Sink
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* e30fc7315301697690964e66b4aa35cc1e186aca UNKNOWN
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[GitHub] [hudi] hudi-bot edited a comment on pull request #3857: [WIP][HUDI-2332] Add clustering and compaction in Kafka Connect Sink
Posted by GitBox <gi...@apache.org>.
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URL: https://github.com/apache/hudi/pull/3857#issuecomment-950560156
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[GitHub] [hudi] hudi-bot commented on pull request #3857: [WIP][HUDI-2332] Add clustering and compaction in Kafka Connect Sink
Posted by GitBox <gi...@apache.org>.
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URL: https://github.com/apache/hudi/pull/3857#issuecomment-968236170
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[GitHub] [hudi] codope commented on a change in pull request #3857: [HUDI-2332] Add clustering and compaction in Kafka Connect Sink
Posted by GitBox <gi...@apache.org>.
codope commented on a change in pull request #3857:
URL: https://github.com/apache/hudi/pull/3857#discussion_r751809311
##########
File path: hudi-client/hudi-client-common/src/main/java/org/apache/hudi/config/HoodieClusteringConfig.java
##########
@@ -430,9 +446,37 @@ public Builder withDataOptimizeDataSkippingEnable(boolean dataSkipping) {
}
public HoodieClusteringConfig build() {
+ clusteringConfig.setDefaultValue(
+ PLAN_STRATEGY_CLASS_NAME, getDefaultPlanStrategyClassName(engineType));
+ clusteringConfig.setDefaultValue(
+ EXECUTION_STRATEGY_CLASS_NAME, getDefaultExecutionStrategyClassName(engineType));
clusteringConfig.setDefaults(HoodieClusteringConfig.class.getName());
return clusteringConfig;
}
+
+ private String getDefaultPlanStrategyClassName(EngineType engineType) {
+ switch (engineType) {
+ case SPARK:
+ return SPARK_SIZED_BASED_CLUSTERING_PLAN_STRATEGY;
+ case FLINK:
+ case JAVA:
+ return JAVA_SIZED_BASED_CLUSTERING_PLAN_STRATEGY;
Review comment:
For `FLINK` also, is it going to be java based strategy?
##########
File path: hudi-client/hudi-client-common/src/main/java/org/apache/hudi/config/HoodieClusteringConfig.java
##########
@@ -59,15 +69,15 @@
public static final ConfigProperty<String> PLAN_STRATEGY_CLASS_NAME = ConfigProperty
.key("hoodie.clustering.plan.strategy.class")
- .defaultValue("org.apache.hudi.client.clustering.plan.strategy.SparkSizeBasedClusteringPlanStrategy")
+ .noDefaultValue()
Review comment:
This will affect documentation. With this change, it would appear in the docs that Hudi is not setting any default value but in fact it is in the `build()` method. Either, we make sure that docs change is also done.
Or, another way is to localize the change of defaults. Can it be done by overriding the `getWriteConfig()` method in `ClusteringPlanStrategy/ClusteringExecutionStrategy`? That way, we may not need `engineType` setting as well.
##########
File path: hudi-client/hudi-client-common/src/main/java/org/apache/hudi/config/HoodieCompactionConfig.java
##########
@@ -99,6 +99,12 @@
.withDocumentation("Controls how compaction scheduling is triggered, by time or num delta commits or combination of both. "
+ "Valid options: " + Arrays.stream(CompactionTriggerStrategy.values()).map(Enum::name).collect(Collectors.joining(",")));
+ public static final ConfigProperty<String> ASYNC_COMPACT_ENABLE = ConfigProperty
Review comment:
We should check how this new config affects hthe default behavior of async compaction in `HoodieDeltaStreamer` and also whether it is in sync with `DataSourceWriteOptions`.
##########
File path: hudi-client/hudi-java-client/src/main/java/org/apache/hudi/client/clustering/run/strategy/JavaExecutionStrategy.java
##########
@@ -0,0 +1,245 @@
+/*
+ * Licensed to the Apache Software Foundation (ASF) under one
+ * or more contributor license agreements. See the NOTICE file
+ * distributed with this work for additional information
+ * regarding copyright ownership. The ASF licenses this file
+ * to you under the Apache License, Version 2.0 (the
+ * "License"); you may not use this file except in compliance
+ * with the License. You may obtain a copy of the License at
+ *
+ * http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing,
+ * software distributed under the License is distributed on an
+ * "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
+ * KIND, either express or implied. See the License for the
+ * specific language governing permissions and limitations
+ * under the License.
+ */
+
+package org.apache.hudi.client.clustering.run.strategy;
+
+import org.apache.hudi.avro.HoodieAvroUtils;
+import org.apache.hudi.avro.model.HoodieClusteringGroup;
+import org.apache.hudi.avro.model.HoodieClusteringPlan;
+import org.apache.hudi.client.WriteStatus;
+import org.apache.hudi.client.common.JavaTaskContextSupplier;
+import org.apache.hudi.common.engine.HoodieEngineContext;
+import org.apache.hudi.common.model.ClusteringOperation;
+import org.apache.hudi.common.model.HoodieFileGroupId;
+import org.apache.hudi.common.model.HoodieKey;
+import org.apache.hudi.common.model.HoodieRecord;
+import org.apache.hudi.common.model.HoodieRecordPayload;
+import org.apache.hudi.common.model.RewriteAvroPayload;
+import org.apache.hudi.common.table.HoodieTableConfig;
+import org.apache.hudi.common.table.log.HoodieMergedLogRecordScanner;
+import org.apache.hudi.common.util.Option;
+import org.apache.hudi.common.util.StringUtils;
+import org.apache.hudi.common.util.collection.Pair;
+import org.apache.hudi.config.HoodieWriteConfig;
+import org.apache.hudi.exception.HoodieClusteringException;
+import org.apache.hudi.io.IOUtils;
+import org.apache.hudi.io.storage.HoodieFileReader;
+import org.apache.hudi.io.storage.HoodieFileReaderFactory;
+import org.apache.hudi.keygen.BaseKeyGenerator;
+import org.apache.hudi.keygen.KeyGenUtils;
+import org.apache.hudi.table.BulkInsertPartitioner;
+import org.apache.hudi.table.HoodieTable;
+import org.apache.hudi.table.action.HoodieWriteMetadata;
+import org.apache.hudi.table.action.cluster.strategy.ClusteringExecutionStrategy;
+
+import org.apache.avro.Schema;
+import org.apache.avro.generic.GenericRecord;
+import org.apache.avro.generic.IndexedRecord;
+import org.apache.hadoop.fs.Path;
+import org.apache.log4j.LogManager;
+import org.apache.log4j.Logger;
+
+import java.io.IOException;
+import java.io.UncheckedIOException;
+import java.util.ArrayList;
+import java.util.Iterator;
+import java.util.List;
+import java.util.Map;
+import java.util.stream.Collectors;
+import java.util.stream.StreamSupport;
+
+import static org.apache.hudi.common.table.log.HoodieFileSliceReader.getFileSliceReader;
+
+/**
+ * Clustering strategy for Java engine.
+ */
+public abstract class JavaExecutionStrategy<T extends HoodieRecordPayload<T>>
+ extends ClusteringExecutionStrategy<T, List<HoodieRecord<T>>, List<HoodieKey>, List<WriteStatus>> {
+
+ private static final Logger LOG = LogManager.getLogger(JavaExecutionStrategy.class);
+
+ public JavaExecutionStrategy(
+ HoodieTable table, HoodieEngineContext engineContext, HoodieWriteConfig writeConfig) {
+ super(table, engineContext, writeConfig);
+ }
+
+ @Override
+ public HoodieWriteMetadata<List<WriteStatus>> performClustering(
+ HoodieClusteringPlan clusteringPlan, Schema schema, String instantTime) {
+ // execute clustering for each group and collect WriteStatus
+ List<WriteStatus> writeStatusList = new ArrayList<>();
+ clusteringPlan.getInputGroups().forEach(
+ inputGroup -> writeStatusList.addAll(runClusteringForGroup(
+ inputGroup, clusteringPlan.getStrategy().getStrategyParams(),
+ Option.ofNullable(clusteringPlan.getPreserveHoodieMetadata()).orElse(false),
+ instantTime)));
+ HoodieWriteMetadata<List<WriteStatus>> writeMetadata = new HoodieWriteMetadata<>();
+ writeMetadata.setWriteStatuses(writeStatusList);
+ return writeMetadata;
+ }
+
+ /**
+ * Execute clustering to write inputRecords into new files as defined by rules in strategy parameters.
+ * The number of new file groups created is bounded by numOutputGroups.
+ * Note that commit is not done as part of strategy. commit is callers responsibility.
+ *
+ * @param inputRecords List of {@link HoodieRecord}.
+ * @param numOutputGroups Number of output file groups.
+ * @param instantTime Clustering (replace commit) instant time.
+ * @param strategyParams Strategy parameters containing columns to sort the data by when clustering.
+ * @param schema Schema of the data including metadata fields.
+ * @param fileGroupIdList File group id corresponding to each out group.
+ * @param preserveHoodieMetadata Whether to preserve commit metadata while clustering.
+ * @return List of {@link WriteStatus}.
+ */
+ public abstract List<WriteStatus> performClusteringWithRecordList(
+ final List<HoodieRecord<T>> inputRecords, final int numOutputGroups, final String instantTime,
+ final Map<String, String> strategyParams, final Schema schema,
+ final List<HoodieFileGroupId> fileGroupIdList, final boolean preserveHoodieMetadata);
+
+ /**
+ * Create {@link BulkInsertPartitioner} based on strategy params.
+ *
+ * @param strategyParams Strategy parameters containing columns to sort the data by when clustering.
+ * @param schema Schema of the data including metadata fields.
+ * @return empty for now.
+ */
+ protected Option<BulkInsertPartitioner<T>> getPartitioner(Map<String, String> strategyParams, Schema schema) {
+ return Option.empty();
Review comment:
`LAYOUT_OPTIMIZE_ENABLE` is for z-order clustering. We need to add a new partitioner for java client. I think we can take it up as a follow-up task to extend z-order clustering in java. However, we can still add a custom java sort partitioner based on columns. We already have global sort partitioner: `JavaGlobalSortPartitioner`. Something on similar lines but incorporating the logic of `RDDCustomColumnsSortPartitioner#getRecordSortColumnValues`.
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[GitHub] [hudi] hudi-bot removed a comment on pull request #3857: [WIP][HUDI-2332] Add clustering and compaction in Kafka Connect Sink
Posted by GitBox <gi...@apache.org>.
hudi-bot removed a comment on pull request #3857:
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[GitHub] [hudi] yihua commented on a change in pull request #3857: [HUDI-2332] Add clustering and compaction in Kafka Connect Sink
Posted by GitBox <gi...@apache.org>.
yihua commented on a change in pull request #3857:
URL: https://github.com/apache/hudi/pull/3857#discussion_r754835223
##########
File path: hudi-kafka-connect/src/main/java/org/apache/hudi/connect/writers/KafkaConnectTransactionServices.java
##########
@@ -105,6 +111,16 @@ public String startCommit() {
public void endCommit(String commitTime, List<WriteStatus> writeStatuses, Map<String, String> extraMetadata) {
javaClient.commit(commitTime, writeStatuses, Option.of(extraMetadata));
LOG.info("Ending Hudi commit " + commitTime);
+
+ // Schedule clustering and compaction as needed.
+ if (writeConfig.isAsyncClusteringEnabled()) {
+ javaClient.scheduleClustering(Option.empty()).ifPresent(
+ instantTs -> LOG.info("Scheduled clustering at instant time:" + instantTs));
+ }
+ if (writeConfig.isAsyncCompactionEnabled()) {
+ javaClient.scheduleCompaction(Option.empty()).ifPresent(
+ instantTs -> LOG.info("Scheduled compaction at instant time:" + instantTs));
+ }
Review comment:
Configs and defaults are explained in the README.
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[GitHub] [hudi] hudi-bot commented on pull request #3857: [WIP][HUDI-2332] Add clustering and compaction in Kafka Connect Sink
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[GitHub] [hudi] hudi-bot commented on pull request #3857: [HUDI-2332] Add clustering and compaction in Kafka Connect Sink
Posted by GitBox <gi...@apache.org>.
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URL: https://github.com/apache/hudi/pull/3857#issuecomment-975193320
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[GitHub] [hudi] hudi-bot edited a comment on pull request #3857: [WIP][HUDI-2332] Add clustering and compaction in Kafka Connect Sink
Posted by GitBox <gi...@apache.org>.
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[GitHub] [hudi] hudi-bot removed a comment on pull request #3857: [HUDI-2332] Add clustering and compaction in Kafka Connect Sink
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[GitHub] [hudi] yihua commented on a change in pull request #3857: [HUDI-2332] Add clustering and compaction in Kafka Connect Sink
Posted by GitBox <gi...@apache.org>.
yihua commented on a change in pull request #3857:
URL: https://github.com/apache/hudi/pull/3857#discussion_r749716962
##########
File path: hudi-client/hudi-java-client/src/main/java/org/apache/hudi/client/clustering/run/strategy/JavaExecutionStrategy.java
##########
@@ -0,0 +1,245 @@
+/*
+ * Licensed to the Apache Software Foundation (ASF) under one
+ * or more contributor license agreements. See the NOTICE file
+ * distributed with this work for additional information
+ * regarding copyright ownership. The ASF licenses this file
+ * to you under the Apache License, Version 2.0 (the
+ * "License"); you may not use this file except in compliance
+ * with the License. You may obtain a copy of the License at
+ *
+ * http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing,
+ * software distributed under the License is distributed on an
+ * "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
+ * KIND, either express or implied. See the License for the
+ * specific language governing permissions and limitations
+ * under the License.
+ */
+
+package org.apache.hudi.client.clustering.run.strategy;
+
+import org.apache.hudi.avro.HoodieAvroUtils;
+import org.apache.hudi.avro.model.HoodieClusteringGroup;
+import org.apache.hudi.avro.model.HoodieClusteringPlan;
+import org.apache.hudi.client.WriteStatus;
+import org.apache.hudi.client.common.JavaTaskContextSupplier;
+import org.apache.hudi.common.engine.HoodieEngineContext;
+import org.apache.hudi.common.model.ClusteringOperation;
+import org.apache.hudi.common.model.HoodieFileGroupId;
+import org.apache.hudi.common.model.HoodieKey;
+import org.apache.hudi.common.model.HoodieRecord;
+import org.apache.hudi.common.model.HoodieRecordPayload;
+import org.apache.hudi.common.model.RewriteAvroPayload;
+import org.apache.hudi.common.table.HoodieTableConfig;
+import org.apache.hudi.common.table.log.HoodieMergedLogRecordScanner;
+import org.apache.hudi.common.util.Option;
+import org.apache.hudi.common.util.StringUtils;
+import org.apache.hudi.common.util.collection.Pair;
+import org.apache.hudi.config.HoodieWriteConfig;
+import org.apache.hudi.exception.HoodieClusteringException;
+import org.apache.hudi.io.IOUtils;
+import org.apache.hudi.io.storage.HoodieFileReader;
+import org.apache.hudi.io.storage.HoodieFileReaderFactory;
+import org.apache.hudi.keygen.BaseKeyGenerator;
+import org.apache.hudi.keygen.KeyGenUtils;
+import org.apache.hudi.table.BulkInsertPartitioner;
+import org.apache.hudi.table.HoodieTable;
+import org.apache.hudi.table.action.HoodieWriteMetadata;
+import org.apache.hudi.table.action.cluster.strategy.ClusteringExecutionStrategy;
+
+import org.apache.avro.Schema;
+import org.apache.avro.generic.GenericRecord;
+import org.apache.avro.generic.IndexedRecord;
+import org.apache.hadoop.fs.Path;
+import org.apache.log4j.LogManager;
+import org.apache.log4j.Logger;
+
+import java.io.IOException;
+import java.io.UncheckedIOException;
+import java.util.ArrayList;
+import java.util.Iterator;
+import java.util.List;
+import java.util.Map;
+import java.util.stream.Collectors;
+import java.util.stream.StreamSupport;
+
+import static org.apache.hudi.common.table.log.HoodieFileSliceReader.getFileSliceReader;
+
+/**
+ * Clustering strategy for Java engine.
+ */
+public abstract class JavaExecutionStrategy<T extends HoodieRecordPayload<T>>
+ extends ClusteringExecutionStrategy<T, List<HoodieRecord<T>>, List<HoodieKey>, List<WriteStatus>> {
+
+ private static final Logger LOG = LogManager.getLogger(JavaExecutionStrategy.class);
+
+ public JavaExecutionStrategy(
+ HoodieTable table, HoodieEngineContext engineContext, HoodieWriteConfig writeConfig) {
+ super(table, engineContext, writeConfig);
+ }
+
+ @Override
+ public HoodieWriteMetadata<List<WriteStatus>> performClustering(
+ HoodieClusteringPlan clusteringPlan, Schema schema, String instantTime) {
+ // execute clustering for each group and collect WriteStatus
+ List<WriteStatus> writeStatusList = new ArrayList<>();
+ clusteringPlan.getInputGroups().forEach(
+ inputGroup -> writeStatusList.addAll(runClusteringForGroup(
+ inputGroup, clusteringPlan.getStrategy().getStrategyParams(),
+ Option.ofNullable(clusteringPlan.getPreserveHoodieMetadata()).orElse(false),
+ instantTime)));
+ HoodieWriteMetadata<List<WriteStatus>> writeMetadata = new HoodieWriteMetadata<>();
+ writeMetadata.setWriteStatuses(writeStatusList);
+ return writeMetadata;
+ }
+
+ /**
+ * Execute clustering to write inputRecords into new files as defined by rules in strategy parameters.
+ * The number of new file groups created is bounded by numOutputGroups.
+ * Note that commit is not done as part of strategy. commit is callers responsibility.
+ *
+ * @param inputRecords List of {@link HoodieRecord}.
+ * @param numOutputGroups Number of output file groups.
+ * @param instantTime Clustering (replace commit) instant time.
+ * @param strategyParams Strategy parameters containing columns to sort the data by when clustering.
+ * @param schema Schema of the data including metadata fields.
+ * @param fileGroupIdList File group id corresponding to each out group.
+ * @param preserveHoodieMetadata Whether to preserve commit metadata while clustering.
+ * @return List of {@link WriteStatus}.
+ */
+ public abstract List<WriteStatus> performClusteringWithRecordList(
+ final List<HoodieRecord<T>> inputRecords, final int numOutputGroups, final String instantTime,
+ final Map<String, String> strategyParams, final Schema schema,
+ final List<HoodieFileGroupId> fileGroupIdList, final boolean preserveHoodieMetadata);
+
+ /**
+ * Create {@link BulkInsertPartitioner} based on strategy params.
+ *
+ * @param strategyParams Strategy parameters containing columns to sort the data by when clustering.
+ * @param schema Schema of the data including metadata fields.
+ * @return empty for now.
+ */
+ protected Option<BulkInsertPartitioner<T>> getPartitioner(Map<String, String> strategyParams, Schema schema) {
+ return Option.empty();
Review comment:
@codope @vinothchandar I see clustering in Spark follows the `LAYOUT_OPTIMIZE_ENABLE` and `PLAN_STRATEGY_SORT_COLUMNS` configs to choose Spark-specific partitioner, and the default is empty. Does Java client need to respect these configs?
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[GitHub] [hudi] yihua commented on a change in pull request #3857: [HUDI-2332] Add clustering and compaction in Kafka Connect Sink
Posted by GitBox <gi...@apache.org>.
yihua commented on a change in pull request #3857:
URL: https://github.com/apache/hudi/pull/3857#discussion_r753972409
##########
File path: hudi-client/hudi-java-client/src/main/java/org/apache/hudi/client/clustering/run/strategy/JavaExecutionStrategy.java
##########
@@ -0,0 +1,245 @@
+/*
+ * Licensed to the Apache Software Foundation (ASF) under one
+ * or more contributor license agreements. See the NOTICE file
+ * distributed with this work for additional information
+ * regarding copyright ownership. The ASF licenses this file
+ * to you under the Apache License, Version 2.0 (the
+ * "License"); you may not use this file except in compliance
+ * with the License. You may obtain a copy of the License at
+ *
+ * http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing,
+ * software distributed under the License is distributed on an
+ * "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
+ * KIND, either express or implied. See the License for the
+ * specific language governing permissions and limitations
+ * under the License.
+ */
+
+package org.apache.hudi.client.clustering.run.strategy;
+
+import org.apache.hudi.avro.HoodieAvroUtils;
+import org.apache.hudi.avro.model.HoodieClusteringGroup;
+import org.apache.hudi.avro.model.HoodieClusteringPlan;
+import org.apache.hudi.client.WriteStatus;
+import org.apache.hudi.client.common.JavaTaskContextSupplier;
+import org.apache.hudi.common.engine.HoodieEngineContext;
+import org.apache.hudi.common.model.ClusteringOperation;
+import org.apache.hudi.common.model.HoodieFileGroupId;
+import org.apache.hudi.common.model.HoodieKey;
+import org.apache.hudi.common.model.HoodieRecord;
+import org.apache.hudi.common.model.HoodieRecordPayload;
+import org.apache.hudi.common.model.RewriteAvroPayload;
+import org.apache.hudi.common.table.HoodieTableConfig;
+import org.apache.hudi.common.table.log.HoodieMergedLogRecordScanner;
+import org.apache.hudi.common.util.Option;
+import org.apache.hudi.common.util.StringUtils;
+import org.apache.hudi.common.util.collection.Pair;
+import org.apache.hudi.config.HoodieWriteConfig;
+import org.apache.hudi.exception.HoodieClusteringException;
+import org.apache.hudi.io.IOUtils;
+import org.apache.hudi.io.storage.HoodieFileReader;
+import org.apache.hudi.io.storage.HoodieFileReaderFactory;
+import org.apache.hudi.keygen.BaseKeyGenerator;
+import org.apache.hudi.keygen.KeyGenUtils;
+import org.apache.hudi.table.BulkInsertPartitioner;
+import org.apache.hudi.table.HoodieTable;
+import org.apache.hudi.table.action.HoodieWriteMetadata;
+import org.apache.hudi.table.action.cluster.strategy.ClusteringExecutionStrategy;
+
+import org.apache.avro.Schema;
+import org.apache.avro.generic.GenericRecord;
+import org.apache.avro.generic.IndexedRecord;
+import org.apache.hadoop.fs.Path;
+import org.apache.log4j.LogManager;
+import org.apache.log4j.Logger;
+
+import java.io.IOException;
+import java.io.UncheckedIOException;
+import java.util.ArrayList;
+import java.util.Iterator;
+import java.util.List;
+import java.util.Map;
+import java.util.stream.Collectors;
+import java.util.stream.StreamSupport;
+
+import static org.apache.hudi.common.table.log.HoodieFileSliceReader.getFileSliceReader;
+
+/**
+ * Clustering strategy for Java engine.
+ */
+public abstract class JavaExecutionStrategy<T extends HoodieRecordPayload<T>>
+ extends ClusteringExecutionStrategy<T, List<HoodieRecord<T>>, List<HoodieKey>, List<WriteStatus>> {
+
+ private static final Logger LOG = LogManager.getLogger(JavaExecutionStrategy.class);
+
+ public JavaExecutionStrategy(
+ HoodieTable table, HoodieEngineContext engineContext, HoodieWriteConfig writeConfig) {
+ super(table, engineContext, writeConfig);
+ }
+
+ @Override
+ public HoodieWriteMetadata<List<WriteStatus>> performClustering(
+ HoodieClusteringPlan clusteringPlan, Schema schema, String instantTime) {
+ // execute clustering for each group and collect WriteStatus
+ List<WriteStatus> writeStatusList = new ArrayList<>();
+ clusteringPlan.getInputGroups().forEach(
+ inputGroup -> writeStatusList.addAll(runClusteringForGroup(
+ inputGroup, clusteringPlan.getStrategy().getStrategyParams(),
+ Option.ofNullable(clusteringPlan.getPreserveHoodieMetadata()).orElse(false),
+ instantTime)));
+ HoodieWriteMetadata<List<WriteStatus>> writeMetadata = new HoodieWriteMetadata<>();
+ writeMetadata.setWriteStatuses(writeStatusList);
+ return writeMetadata;
+ }
+
+ /**
+ * Execute clustering to write inputRecords into new files as defined by rules in strategy parameters.
+ * The number of new file groups created is bounded by numOutputGroups.
+ * Note that commit is not done as part of strategy. commit is callers responsibility.
+ *
+ * @param inputRecords List of {@link HoodieRecord}.
+ * @param numOutputGroups Number of output file groups.
+ * @param instantTime Clustering (replace commit) instant time.
+ * @param strategyParams Strategy parameters containing columns to sort the data by when clustering.
+ * @param schema Schema of the data including metadata fields.
+ * @param fileGroupIdList File group id corresponding to each out group.
+ * @param preserveHoodieMetadata Whether to preserve commit metadata while clustering.
+ * @return List of {@link WriteStatus}.
+ */
+ public abstract List<WriteStatus> performClusteringWithRecordList(
+ final List<HoodieRecord<T>> inputRecords, final int numOutputGroups, final String instantTime,
+ final Map<String, String> strategyParams, final Schema schema,
+ final List<HoodieFileGroupId> fileGroupIdList, final boolean preserveHoodieMetadata);
+
+ /**
+ * Create {@link BulkInsertPartitioner} based on strategy params.
+ *
+ * @param strategyParams Strategy parameters containing columns to sort the data by when clustering.
+ * @param schema Schema of the data including metadata fields.
+ * @return empty for now.
+ */
+ protected Option<BulkInsertPartitioner<T>> getPartitioner(Map<String, String> strategyParams, Schema schema) {
+ return Option.empty();
Review comment:
Sg. I added a partitioner `JavaCustomColumnsSortPartitioner` for Java client.
##########
File path: hudi-client/hudi-client-common/src/main/java/org/apache/hudi/config/HoodieCompactionConfig.java
##########
@@ -99,6 +99,12 @@
.withDocumentation("Controls how compaction scheduling is triggered, by time or num delta commits or combination of both. "
+ "Valid options: " + Arrays.stream(CompactionTriggerStrategy.values()).map(Enum::name).collect(Collectors.joining(",")));
+ public static final ConfigProperty<String> ASYNC_COMPACT_ENABLE = ConfigProperty
Review comment:
I removed this config and added a Kafka-Connect specific config for async compaction: `ASYNC_COMPACT_ENABLE` (default is `true`). The async compaction is enabled only when this config is true and MOR table is used for writing.
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[GitHub] [hudi] hudi-bot commented on pull request #3857: [HUDI-2332] Add clustering and compaction in Kafka Connect Sink
Posted by GitBox <gi...@apache.org>.
hudi-bot commented on pull request #3857:
URL: https://github.com/apache/hudi/pull/3857#issuecomment-975293680
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[GitHub] [hudi] hudi-bot commented on pull request #3857: [HUDI-2332] Add clustering and compaction in Kafka Connect Sink
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[GitHub] [hudi] hudi-bot removed a comment on pull request #3857: [HUDI-2332] Add clustering and compaction in Kafka Connect Sink
Posted by GitBox <gi...@apache.org>.
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URL: https://github.com/apache/hudi/pull/3857#issuecomment-976194909
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[GitHub] [hudi] hudi-bot commented on pull request #3857: [HUDI-2332] Add clustering and compaction in Kafka Connect Sink
Posted by GitBox <gi...@apache.org>.
hudi-bot commented on pull request #3857:
URL: https://github.com/apache/hudi/pull/3857#issuecomment-976220791
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[GitHub] [hudi] hudi-bot commented on pull request #3857: [WIP][HUDI-2332] Add clustering and compaction in Kafka Connect Sink
Posted by GitBox <gi...@apache.org>.
hudi-bot commented on pull request #3857:
URL: https://github.com/apache/hudi/pull/3857#issuecomment-968233469
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[GitHub] [hudi] hudi-bot commented on pull request #3857: [HUDI-2332] Add clustering and compaction in Kafka Connect Sink
Posted by GitBox <gi...@apache.org>.
hudi-bot commented on pull request #3857:
URL: https://github.com/apache/hudi/pull/3857#issuecomment-973676842
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[GitHub] [hudi] hudi-bot commented on pull request #3857: [WIP][HUDI-2332] Add clustering and compaction in Kafka Connect Sink
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[GitHub] [hudi] hudi-bot commented on pull request #3857: [WIP][HUDI-2332] Add clustering and compaction in Kafka Connect Sink
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## CI report:
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[GitHub] [hudi] hudi-bot commented on pull request #3857: [HUDI-2332] Add clustering and compaction in Kafka Connect Sink
Posted by GitBox <gi...@apache.org>.
hudi-bot commented on pull request #3857:
URL: https://github.com/apache/hudi/pull/3857#issuecomment-969427971
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[GitHub] [hudi] hudi-bot commented on pull request #3857: [WIP][HUDI-2332] Add clustering and compaction in Kafka Connect Sink
Posted by GitBox <gi...@apache.org>.
hudi-bot commented on pull request #3857:
URL: https://github.com/apache/hudi/pull/3857#issuecomment-966663511
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[GitHub] [hudi] yihua commented on a change in pull request #3857: [HUDI-2332] Add clustering and compaction in Kafka Connect Sink
Posted by GitBox <gi...@apache.org>.
yihua commented on a change in pull request #3857:
URL: https://github.com/apache/hudi/pull/3857#discussion_r754834527
##########
File path: hudi-kafka-connect/src/main/java/org/apache/hudi/connect/writers/KafkaConnectTransactionServices.java
##########
@@ -54,15 +55,20 @@
private final Option<HoodieTableMetaClient> tableMetaClient;
private final Configuration hadoopConf;
+ private final HoodieWriteConfig writeConfig;
+ private final KafkaConnectConfigs connectConfigs;
private final String tableBasePath;
private final String tableName;
private final HoodieEngineContext context;
private final HoodieJavaWriteClient<HoodieAvroPayload> javaClient;
public KafkaConnectTransactionServices(KafkaConnectConfigs connectConfigs) throws HoodieException {
- HoodieWriteConfig writeConfig = HoodieWriteConfig.newBuilder()
- .withProperties(connectConfigs.getProps()).build();
+ this.connectConfigs = connectConfigs;
+ this.writeConfig = HoodieWriteConfig.newBuilder()
+ .withEngineType(EngineType.JAVA)
+ .withProperties(connectConfigs.getProps())
Review comment:
I'll let inline compaction and clustering be off by default without enforcement.
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[GitHub] [hudi] yihua commented on a change in pull request #3857: [HUDI-2332] Add clustering and compaction in Kafka Connect Sink
Posted by GitBox <gi...@apache.org>.
yihua commented on a change in pull request #3857:
URL: https://github.com/apache/hudi/pull/3857#discussion_r754834979
##########
File path: hudi-client/hudi-client-common/src/main/java/org/apache/hudi/config/HoodieClusteringConfig.java
##########
@@ -59,15 +69,15 @@
public static final ConfigProperty<String> PLAN_STRATEGY_CLASS_NAME = ConfigProperty
.key("hoodie.clustering.plan.strategy.class")
- .defaultValue("org.apache.hudi.client.clustering.plan.strategy.SparkSizeBasedClusteringPlanStrategy")
+ .noDefaultValue()
Review comment:
Docs will be updated separately.
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[GitHub] [hudi] hudi-bot commented on pull request #3857: [WIP][HUDI-2332] Add clustering and compaction in Kafka Connect Sink
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[GitHub] [hudi] hudi-bot removed a comment on pull request #3857: [HUDI-2332] Add clustering and compaction in Kafka Connect Sink
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[GitHub] [hudi] hudi-bot removed a comment on pull request #3857: [HUDI-2332] Add clustering and compaction in Kafka Connect Sink
Posted by GitBox <gi...@apache.org>.
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[GitHub] [hudi] codope merged pull request #3857: [HUDI-2332] Add clustering and compaction in Kafka Connect Sink
Posted by GitBox <gi...@apache.org>.
codope merged pull request #3857:
URL: https://github.com/apache/hudi/pull/3857
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[GitHub] [hudi] rmahindra123 commented on pull request #3857: [HUDI-2332] Add clustering and compaction in Kafka Connect Sink
Posted by GitBox <gi...@apache.org>.
rmahindra123 commented on pull request #3857:
URL: https://github.com/apache/hudi/pull/3857#issuecomment-976110098
lgmt, will let @codope give the final thumbs-up!
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[GitHub] [hudi] hudi-bot edited a comment on pull request #3857: [WIP][HUDI-2332] Add clustering and compaction in Kafka Connect Sink
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[GitHub] [hudi] hudi-bot edited a comment on pull request #3857: [WIP][HUDI-2332] Add clustering and compaction in Kafka Connect Sink
Posted by GitBox <gi...@apache.org>.
hudi-bot edited a comment on pull request #3857:
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[GitHub] [hudi] hudi-bot edited a comment on pull request #3857: [WIP][HUDI-2332] Add clustering and compaction in Kafka Connect Sink
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[GitHub] [hudi] hudi-bot commented on pull request #3857: [HUDI-2332] Add clustering and compaction in Kafka Connect Sink
Posted by GitBox <gi...@apache.org>.
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URL: https://github.com/apache/hudi/pull/3857#issuecomment-975186138
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[GitHub] [hudi] hudi-bot commented on pull request #3857: [HUDI-2332] Add clustering and compaction in Kafka Connect Sink
Posted by GitBox <gi...@apache.org>.
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[GitHub] [hudi] hudi-bot commented on pull request #3857: [WIP][HUDI-2332] Add clustering and compaction in Kafka Connect Sink
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* e30fc7315301697690964e66b4aa35cc1e186aca UNKNOWN
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[GitHub] [hudi] hudi-bot commented on pull request #3857: [HUDI-2332] Add clustering and compaction in Kafka Connect Sink
Posted by GitBox <gi...@apache.org>.
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URL: https://github.com/apache/hudi/pull/3857#issuecomment-969315245
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Posted by GitBox <gi...@apache.org>.
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[GitHub] [hudi] hudi-bot commented on pull request #3857: [HUDI-2332] Add clustering and compaction in Kafka Connect Sink
Posted by GitBox <gi...@apache.org>.
hudi-bot commented on pull request #3857:
URL: https://github.com/apache/hudi/pull/3857#issuecomment-973711926
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[GitHub] [hudi] hudi-bot commented on pull request #3857: [HUDI-2332] Add clustering and compaction in Kafka Connect Sink
Posted by GitBox <gi...@apache.org>.
hudi-bot commented on pull request #3857:
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[GitHub] [hudi] hudi-bot commented on pull request #3857: [HUDI-2332] Add clustering and compaction in Kafka Connect Sink
Posted by GitBox <gi...@apache.org>.
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[GitHub] [hudi] hudi-bot removed a comment on pull request #3857: [HUDI-2332] Add clustering and compaction in Kafka Connect Sink
Posted by GitBox <gi...@apache.org>.
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[GitHub] [hudi] yihua commented on a change in pull request #3857: [HUDI-2332] Add clustering and compaction in Kafka Connect Sink
Posted by GitBox <gi...@apache.org>.
yihua commented on a change in pull request #3857:
URL: https://github.com/apache/hudi/pull/3857#discussion_r754834833
##########
File path: hudi-client/hudi-spark-client/src/main/java/org/apache/hudi/client/clustering/run/strategy/MultipleSparkJobExecutionStrategy.java
##########
@@ -206,11 +205,25 @@ public MultipleSparkJobExecutionStrategy(HoodieTable table, HoodieEngineContext
.build();
HoodieTableConfig tableConfig = table.getMetaClient().getTableConfig();
- recordIterators.add(getFileSliceReader(baseFileReader, scanner, readerSchema,
- tableConfig.getPayloadClass(),
- tableConfig.getPreCombineField(),
- tableConfig.populateMetaFields() ? Option.empty() : Option.of(Pair.of(tableConfig.getRecordKeyFieldProp(),
- tableConfig.getPartitionFieldProp()))));
+ if (!StringUtils.isNullOrEmpty(clusteringOp.getDataFilePath())) {
+ HoodieFileReader<? extends IndexedRecord> baseFileReader = HoodieFileReaderFactory.getFileReader(table.getHadoopConf(), new Path(clusteringOp.getDataFilePath()));
+ recordIterators.add(HoodieFileSliceReader.getFileSliceReader(baseFileReader, scanner, readerSchema,
+ tableConfig.getPayloadClass(),
+ tableConfig.getPreCombineField(),
+ tableConfig.populateMetaFields() ? Option.empty() : Option.of(Pair.of(tableConfig.getRecordKeyFieldProp(),
+ tableConfig.getPartitionFieldProp()))));
+ } else {
+ // Since there is no base file, fall back to reading log files
+ Iterable<HoodieRecord<? extends HoodieRecordPayload>> iterable = () -> scanner.iterator();
+ recordIterators.add(StreamSupport.stream(iterable.spliterator(), false)
+ .map(e -> {
+ try {
+ return transform((IndexedRecord) e.getData().getInsertValue(readerSchema).get());
+ } catch (IOException io) {
+ throw new UncheckedIOException(io);
+ }
+ }).iterator());
+ }
Review comment:
The changes are removed.
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[GitHub] [hudi] yihua commented on a change in pull request #3857: [HUDI-2332] Add clustering and compaction in Kafka Connect Sink
Posted by GitBox <gi...@apache.org>.
yihua commented on a change in pull request #3857:
URL: https://github.com/apache/hudi/pull/3857#discussion_r752819581
##########
File path: hudi-client/hudi-client-common/src/main/java/org/apache/hudi/config/HoodieClusteringConfig.java
##########
@@ -59,15 +69,15 @@
public static final ConfigProperty<String> PLAN_STRATEGY_CLASS_NAME = ConfigProperty
.key("hoodie.clustering.plan.strategy.class")
- .defaultValue("org.apache.hudi.client.clustering.plan.strategy.SparkSizeBasedClusteringPlanStrategy")
+ .noDefaultValue()
Review comment:
Looks like I don't have to make this change to have engine-specific configs here. I reverted the changes. Regarding overriding `getWriteConfig()`, I think it may be better to put all configs in this class so it's easier to make changes in one place without confusion.
For the docs, do we need to mention that for Java engine, the default class names are different?
##########
File path: hudi-client/hudi-client-common/src/main/java/org/apache/hudi/config/HoodieCompactionConfig.java
##########
@@ -99,6 +99,12 @@
.withDocumentation("Controls how compaction scheduling is triggered, by time or num delta commits or combination of both. "
+ "Valid options: " + Arrays.stream(CompactionTriggerStrategy.values()).map(Enum::name).collect(Collectors.joining(",")));
+ public static final ConfigProperty<String> ASYNC_COMPACT_ENABLE = ConfigProperty
Review comment:
Good point. I'll check this.
##########
File path: hudi-kafka-connect/src/main/java/org/apache/hudi/connect/writers/KafkaConnectTransactionServices.java
##########
@@ -105,6 +111,16 @@ public String startCommit() {
public void endCommit(String commitTime, List<WriteStatus> writeStatuses, Map<String, String> extraMetadata) {
javaClient.commit(commitTime, writeStatuses, Option.of(extraMetadata));
LOG.info("Ending Hudi commit " + commitTime);
+
+ // Schedule clustering and compaction as needed.
+ if (writeConfig.isAsyncClusteringEnabled()) {
+ javaClient.scheduleClustering(Option.empty()).ifPresent(
+ instantTs -> LOG.info("Scheduled clustering at instant time:" + instantTs));
+ }
+ if (writeConfig.isAsyncCompactionEnabled()) {
+ javaClient.scheduleCompaction(Option.empty()).ifPresent(
+ instantTs -> LOG.info("Scheduled compaction at instant time:" + instantTs));
+ }
Review comment:
@rmahindra123 @vinothchandar Currently, I put flags around the scheduling of compaction and clustering. `writeConfig.isAsyncCompactionEnabled()` is a newly added API.
##########
File path: hudi-client/hudi-client-common/src/main/java/org/apache/hudi/config/HoodieClusteringConfig.java
##########
@@ -430,9 +446,37 @@ public Builder withDataOptimizeDataSkippingEnable(boolean dataSkipping) {
}
public HoodieClusteringConfig build() {
+ clusteringConfig.setDefaultValue(
+ PLAN_STRATEGY_CLASS_NAME, getDefaultPlanStrategyClassName(engineType));
+ clusteringConfig.setDefaultValue(
+ EXECUTION_STRATEGY_CLASS_NAME, getDefaultExecutionStrategyClassName(engineType));
clusteringConfig.setDefaults(HoodieClusteringConfig.class.getName());
return clusteringConfig;
}
+
+ private String getDefaultPlanStrategyClassName(EngineType engineType) {
+ switch (engineType) {
+ case SPARK:
+ return SPARK_SIZED_BASED_CLUSTERING_PLAN_STRATEGY;
+ case FLINK:
+ case JAVA:
+ return JAVA_SIZED_BASED_CLUSTERING_PLAN_STRATEGY;
Review comment:
Yes, since Flink client is Java based. However, currently, Flink does not have clustering action integrated.
##########
File path: hudi-kafka-connect/src/main/java/org/apache/hudi/connect/writers/KafkaConnectTransactionServices.java
##########
@@ -54,15 +55,20 @@
private final Option<HoodieTableMetaClient> tableMetaClient;
private final Configuration hadoopConf;
+ private final HoodieWriteConfig writeConfig;
+ private final KafkaConnectConfigs connectConfigs;
private final String tableBasePath;
private final String tableName;
private final HoodieEngineContext context;
private final HoodieJavaWriteClient<HoodieAvroPayload> javaClient;
public KafkaConnectTransactionServices(KafkaConnectConfigs connectConfigs) throws HoodieException {
- HoodieWriteConfig writeConfig = HoodieWriteConfig.newBuilder()
- .withProperties(connectConfigs.getProps()).build();
+ this.connectConfigs = connectConfigs;
+ this.writeConfig = HoodieWriteConfig.newBuilder()
+ .withEngineType(EngineType.JAVA)
+ .withProperties(connectConfigs.getProps())
Review comment:
@rmahindra123 @vinothchandar do we want to explicitly turn off inline compaction and clustering here?
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[GitHub] [hudi] hudi-bot removed a comment on pull request #3857: [HUDI-2332] Add clustering and compaction in Kafka Connect Sink
Posted by GitBox <gi...@apache.org>.
hudi-bot removed a comment on pull request #3857:
URL: https://github.com/apache/hudi/pull/3857#issuecomment-976165077
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[GitHub] [hudi] hudi-bot edited a comment on pull request #3857: [WIP][HUDI-2332] Add clustering and compaction in Kafka Connect Sink
Posted by GitBox <gi...@apache.org>.
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Posted by GitBox <gi...@apache.org>.
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[GitHub] [hudi] yihua commented on pull request #3857: [HUDI-2332] Add clustering and compaction in Kafka Connect Sink
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@vinothchandar @codope for review
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[GitHub] [hudi] yihua commented on a change in pull request #3857: [HUDI-2332] Add clustering and compaction in Kafka Connect Sink
Posted by GitBox <gi...@apache.org>.
yihua commented on a change in pull request #3857:
URL: https://github.com/apache/hudi/pull/3857#discussion_r749735457
##########
File path: hudi-client/hudi-spark-client/src/main/java/org/apache/hudi/client/clustering/run/strategy/MultipleSparkJobExecutionStrategy.java
##########
@@ -206,11 +205,25 @@ public MultipleSparkJobExecutionStrategy(HoodieTable table, HoodieEngineContext
.build();
HoodieTableConfig tableConfig = table.getMetaClient().getTableConfig();
- recordIterators.add(getFileSliceReader(baseFileReader, scanner, readerSchema,
- tableConfig.getPayloadClass(),
- tableConfig.getPreCombineField(),
- tableConfig.populateMetaFields() ? Option.empty() : Option.of(Pair.of(tableConfig.getRecordKeyFieldProp(),
- tableConfig.getPartitionFieldProp()))));
+ if (!StringUtils.isNullOrEmpty(clusteringOp.getDataFilePath())) {
+ HoodieFileReader<? extends IndexedRecord> baseFileReader = HoodieFileReaderFactory.getFileReader(table.getHadoopConf(), new Path(clusteringOp.getDataFilePath()));
+ recordIterators.add(HoodieFileSliceReader.getFileSliceReader(baseFileReader, scanner, readerSchema,
+ tableConfig.getPayloadClass(),
+ tableConfig.getPreCombineField(),
+ tableConfig.populateMetaFields() ? Option.empty() : Option.of(Pair.of(tableConfig.getRecordKeyFieldProp(),
+ tableConfig.getPartitionFieldProp()))));
+ } else {
+ // Since there is no base file, fall back to reading log files
+ Iterable<HoodieRecord<? extends HoodieRecordPayload>> iterable = () -> scanner.iterator();
+ recordIterators.add(StreamSupport.stream(iterable.spliterator(), false)
+ .map(e -> {
+ try {
+ return transform((IndexedRecord) e.getData().getInsertValue(readerSchema).get());
+ } catch (IOException io) {
+ throw new UncheckedIOException(io);
+ }
+ }).iterator());
+ }
Review comment:
These are changes from @codope 's fix for clustering and should be removed once rebased.
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[GitHub] [hudi] hudi-bot edited a comment on pull request #3857: [WIP][HUDI-2332] Add clustering and compaction in Kafka Connect Sink
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[GitHub] [hudi] hudi-bot commented on pull request #3857: [WIP][HUDI-2332] Add clustering and compaction in Kafka Connect Sink
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[GitHub] [hudi] hudi-bot commented on pull request #3857: [WIP][HUDI-2332] Add clustering and compaction in Kafka Connect Sink
Posted by GitBox <gi...@apache.org>.
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[GitHub] [hudi] hudi-bot commented on pull request #3857: [WIP][HUDI-2332] Add clustering and compaction in Kafka Connect Sink
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[GitHub] [hudi] hudi-bot commented on pull request #3857: [WIP][HUDI-2332] Add clustering and compaction in Kafka Connect Sink
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* 7983f30cba280fd58848bd363bdf67a7f1467b26 Azure: [FAILURE](https://dev.azure.com/apache-hudi-ci-org/785b6ef4-2f42-4a89-8f0e-5f0d7039a0cc/_build/results?buildId=3238)
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[GitHub] [hudi] hudi-bot commented on pull request #3857: [HUDI-2332] Add clustering and compaction in Kafka Connect Sink
Posted by GitBox <gi...@apache.org>.
hudi-bot commented on pull request #3857:
URL: https://github.com/apache/hudi/pull/3857#issuecomment-973677878
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[GitHub] [hudi] hudi-bot commented on pull request #3857: [HUDI-2332] Add clustering and compaction in Kafka Connect Sink
Posted by GitBox <gi...@apache.org>.
hudi-bot commented on pull request #3857:
URL: https://github.com/apache/hudi/pull/3857#issuecomment-976205088
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[GitHub] [hudi] hudi-bot commented on pull request #3857: [HUDI-2332] Add clustering and compaction in Kafka Connect Sink
Posted by GitBox <gi...@apache.org>.
hudi-bot commented on pull request #3857:
URL: https://github.com/apache/hudi/pull/3857#issuecomment-976164469
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[GitHub] [hudi] hudi-bot commented on pull request #3857: [HUDI-2332] Add clustering and compaction in Kafka Connect Sink
Posted by GitBox <gi...@apache.org>.
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## CI report:
* 4e592b066697a3be5147d935bea6c16d26990865 Azure: [FAILURE](https://dev.azure.com/apache-hudi-ci-org/785b6ef4-2f42-4a89-8f0e-5f0d7039a0cc/_build/results?buildId=3623)
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