[HUDI-2144]Bug-Fix:Offline clustering(HoodieClusteringJob) will cause insert action losing data (#3240)
* fixed * add testUpsertPartitionerWithSmallFileHandlingAndClusteringPlan ut * fix CheckStyle Co-authored-by: yuezhang <yuezhang@freewheel.tv>
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@@ -146,7 +146,7 @@ public class UpsertPartitioner<T extends HoodieRecordPayload<T>> extends Partiti
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* @return smallFiles not in clustering
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*/
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private List<SmallFile> filterSmallFilesInClustering(final Set<String> pendingClusteringFileGroupsId, final List<SmallFile> smallFiles) {
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if (this.config.isClusteringEnabled()) {
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if (!pendingClusteringFileGroupsId.isEmpty()) {
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return smallFiles.stream()
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.filter(smallFile -> !pendingClusteringFileGroupsId.contains(smallFile.location.getFileId())).collect(Collectors.toList());
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} else {
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@@ -18,21 +18,26 @@
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package org.apache.hudi.table.action.commit;
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import org.apache.hudi.avro.model.HoodieClusteringPlan;
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import org.apache.hudi.avro.model.HoodieCompactionPlan;
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import org.apache.hudi.avro.model.HoodieRequestedReplaceMetadata;
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import org.apache.hudi.common.model.HoodieCommitMetadata;
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import org.apache.hudi.common.model.HoodieRecord;
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import org.apache.hudi.common.model.HoodieRecordLocation;
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import org.apache.hudi.common.model.HoodieWriteStat;
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import org.apache.hudi.common.model.WriteOperationType;
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import org.apache.hudi.common.table.HoodieTableMetaClient;
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import org.apache.hudi.common.table.timeline.HoodieInstant;
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import org.apache.hudi.common.table.timeline.HoodieTimeline;
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import org.apache.hudi.common.testutils.ClusteringTestUtils;
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import org.apache.hudi.common.testutils.CompactionTestUtils;
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import org.apache.hudi.common.testutils.FileCreateUtils;
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import org.apache.hudi.common.testutils.HoodieTestDataGenerator;
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import org.apache.hudi.common.util.Option;
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import org.apache.hudi.config.HoodieClusteringConfig;
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import org.apache.hudi.config.HoodieCompactionConfig;
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import org.apache.hudi.config.HoodieIndexConfig;
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import org.apache.hudi.config.HoodieHBaseIndexConfig;
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import org.apache.hudi.config.HoodieIndexConfig;
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import org.apache.hudi.config.HoodieStorageConfig;
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import org.apache.hudi.config.HoodieWriteConfig;
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import org.apache.hudi.index.HoodieIndex;
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@@ -350,6 +355,44 @@ public class TestUpsertPartitioner extends HoodieClientTestBase {
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"Should be assigned to only file id not pending compaction which is 2");
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}
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@Test
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public void testUpsertPartitionerWithSmallFileHandlingAndClusteringPlan() throws Exception {
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final String testPartitionPath = DEFAULT_PARTITION_PATHS[0];
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// create HoodieWriteConfig and set inline and async clustering disable here.
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HoodieWriteConfig config = makeHoodieClientConfigBuilder()
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.withCompactionConfig(HoodieCompactionConfig.newBuilder().build())
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.withClusteringConfig(HoodieClusteringConfig.newBuilder().withInlineClustering(false).withAsyncClustering(false).build())
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.withStorageConfig(HoodieStorageConfig.newBuilder().hfileMaxFileSize(1000 * 1024).parquetMaxFileSize(1000 * 1024).build())
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.build();
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// create file slice with instantTime 001 and build clustering plan including this created 001 file slice.
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HoodieClusteringPlan clusteringPlan = ClusteringTestUtils.createClusteringPlan(metaClient, "001", "1");
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// create requested replace commit
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HoodieRequestedReplaceMetadata requestedReplaceMetadata = HoodieRequestedReplaceMetadata.newBuilder()
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.setClusteringPlan(clusteringPlan).setOperationType(WriteOperationType.CLUSTER.name()).build();
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FileCreateUtils.createRequestedReplaceCommit(basePath,"002", Option.of(requestedReplaceMetadata));
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// create file slice 002
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FileCreateUtils.createBaseFile(basePath, testPartitionPath, "002", "2", 1);
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FileCreateUtils.createCommit(basePath, "002");
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metaClient = HoodieTableMetaClient.reload(metaClient);
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// generate new data to be ingested
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HoodieTestDataGenerator dataGenerator = new HoodieTestDataGenerator(new String[] {testPartitionPath});
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List<HoodieRecord> insertRecords = dataGenerator.generateInserts("003", 100);
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WorkloadProfile profile = new WorkloadProfile(buildProfile(jsc.parallelize(insertRecords)));
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HoodieSparkTable table = HoodieSparkTable.create(config, context, metaClient);
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// create UpsertPartitioner
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UpsertPartitioner partitioner = new UpsertPartitioner(profile, context, table, config);
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// for now we have file slice1 and file slice2 and file slice1 is contained in pending clustering plan
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// So that only file slice2 can be used for ingestion.
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assertEquals(1, partitioner.smallFiles.size(), "Should have 1 small file to be ingested.");
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}
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@Test
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public void testUpsertPartitionerWithSmallFileHandlingWithCanIndexLogFiles() throws Exception {
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// Note this is used because it is same partition path used in CompactionTestUtils.createCompactionPlan()
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@@ -0,0 +1,54 @@
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/*
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* Licensed to the Apache Software Foundation (ASF) under one
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* or more contributor license agreements. See the NOTICE file
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* distributed with this work for additional information
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* regarding copyright ownership. The ASF licenses this file
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* to you under the Apache License, Version 2.0 (the
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* "License"); you may not use this file except in compliance
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* with the License. You may obtain a copy of the License at
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*
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* http://www.apache.org/licenses/LICENSE-2.0
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*
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* Unless required by applicable law or agreed to in writing, software
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* distributed under the License is distributed on an "AS IS" BASIS,
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* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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* See the License for the specific language governing permissions and
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* limitations under the License.
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*/
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package org.apache.hudi.common.testutils;
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import org.apache.hudi.avro.model.HoodieClusteringPlan;
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import org.apache.hudi.common.model.FileSlice;
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import org.apache.hudi.common.table.HoodieTableMetaClient;
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import org.apache.hudi.common.util.ClusteringUtils;
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import org.apache.hudi.exception.HoodieException;
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import java.nio.file.Paths;
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import java.util.Collections;
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import java.util.HashMap;
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import java.util.List;
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import static org.apache.hudi.common.testutils.FileCreateUtils.baseFileName;
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import static org.apache.hudi.common.testutils.FileCreateUtils.createBaseFile;
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import static org.apache.hudi.common.testutils.HoodieTestUtils.DEFAULT_PARTITION_PATHS;
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public class ClusteringTestUtils {
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public static HoodieClusteringPlan createClusteringPlan(HoodieTableMetaClient metaClient, String instantTime, String fileId) {
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try {
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String basePath = metaClient.getBasePath();
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String partition = DEFAULT_PARTITION_PATHS[0];
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createBaseFile(basePath, partition, instantTime, fileId, 1);
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FileSlice slice = new FileSlice(partition, instantTime, fileId);
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slice.setBaseFile(new CompactionTestUtils.DummyHoodieBaseFile(Paths.get(basePath, partition,
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baseFileName(instantTime, fileId)).toString()));
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List<FileSlice>[] fileSliceGroups = new List[] {Collections.singletonList(slice)};
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HoodieClusteringPlan clusteringPlan = ClusteringUtils.createClusteringPlan("strategy", new HashMap<>(),
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fileSliceGroups, Collections.emptyMap());
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return clusteringPlan;
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} catch (Exception e) {
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throw new HoodieException(e.getMessage(), e);
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}
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}
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}
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