[HUDI-3194] fix MOR snapshot query during compaction (#4540)
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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,
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* software distributed under the License is distributed on an
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* "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
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* KIND, either express or implied. See the License for the
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* specific language governing permissions and limitations
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* under the License.
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*/
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package org.apache.hudi.table.functional;
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import org.apache.hudi.client.SparkRDDWriteClient;
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import org.apache.hudi.client.WriteStatus;
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import org.apache.hudi.common.model.HoodieTableType;
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import org.apache.hudi.common.table.HoodieTableMetaClient;
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import org.apache.hudi.common.table.timeline.HoodieActiveTimeline;
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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.HoodieCompactionConfig;
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import org.apache.hudi.config.HoodieIndexConfig;
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import org.apache.hudi.config.HoodieLayoutConfig;
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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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import org.apache.hudi.table.action.commit.SparkBucketIndexPartitioner;
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import org.apache.hudi.table.storage.HoodieStorageLayout;
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import org.apache.hudi.testutils.HoodieMergeOnReadTestUtils;
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import org.apache.hudi.testutils.SparkClientFunctionalTestHarness;
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import org.apache.spark.api.java.JavaRDD;
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import org.junit.jupiter.api.Assertions;
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import org.junit.jupiter.api.BeforeEach;
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import org.junit.jupiter.api.Tag;
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import org.junit.jupiter.api.Test;
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import java.io.IOException;
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import java.nio.file.Paths;
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import java.util.Arrays;
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import java.util.List;
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import java.util.stream.Collectors;
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import static org.apache.hudi.common.testutils.HoodieTestDataGenerator.TRIP_EXAMPLE_SCHEMA;
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import static org.apache.hudi.config.HoodieWriteConfig.AUTO_COMMIT_ENABLE;
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@Tag("functional")
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public class TestHoodieSparkMergeOnReadTableCompaction extends SparkClientFunctionalTestHarness {
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private HoodieTestDataGenerator dataGen;
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private SparkRDDWriteClient client;
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private HoodieTableMetaClient metaClient;
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@BeforeEach
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public void setup() {
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dataGen = new HoodieTestDataGenerator();
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}
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@Test
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public void testWriteDuringCompaction() throws IOException {
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HoodieWriteConfig config = HoodieWriteConfig.newBuilder()
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.forTable("test-trip-table")
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.withPath(basePath())
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.withSchema(TRIP_EXAMPLE_SCHEMA)
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.withParallelism(2, 2)
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.withAutoCommit(false)
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.withCompactionConfig(HoodieCompactionConfig.newBuilder()
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.withMaxNumDeltaCommitsBeforeCompaction(1).build())
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.withStorageConfig(HoodieStorageConfig.newBuilder()
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.parquetMaxFileSize(1024).build())
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.withLayoutConfig(HoodieLayoutConfig.newBuilder()
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.withLayoutType(HoodieStorageLayout.LayoutType.BUCKET.name())
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.withLayoutPartitioner(SparkBucketIndexPartitioner.class.getName()).build())
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.withIndexConfig(HoodieIndexConfig.newBuilder().withIndexType(HoodieIndex.IndexType.BUCKET).withBucketNum("1").build()).build();
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metaClient = getHoodieMetaClient(HoodieTableType.MERGE_ON_READ, config.getProps());
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client = getHoodieWriteClient(config);
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// write data and commit
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writeData(HoodieActiveTimeline.createNewInstantTime(), 100, true);
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// write data again, and in the case of bucket index, all records will go into log files (we use a small max_file_size)
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writeData(HoodieActiveTimeline.createNewInstantTime(), 100, true);
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Assertions.assertEquals(200, readTableTotalRecordsNum());
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// schedule compaction
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String compactionTime = (String) client.scheduleCompaction(Option.empty()).get();
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// write data, and do not commit. those records should not visible to reader
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String insertTime = HoodieActiveTimeline.createNewInstantTime();
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List<WriteStatus> writeStatuses = writeData(insertTime, 100, false);
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Assertions.assertEquals(200, readTableTotalRecordsNum());
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// commit the write. The records should be visible now even though the compaction does not complete.
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client.commitStats(insertTime, writeStatuses.stream().map(WriteStatus::getStat).collect(Collectors.toList()), Option.empty(), metaClient.getCommitActionType());
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Assertions.assertEquals(300, readTableTotalRecordsNum());
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// after the compaction, total records should remain the same
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config.setValue(AUTO_COMMIT_ENABLE, "true");
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client.compact(compactionTime);
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Assertions.assertEquals(300, readTableTotalRecordsNum());
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}
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private long readTableTotalRecordsNum() {
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return HoodieMergeOnReadTestUtils.getRecordsUsingInputFormat(hadoopConf(),
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Arrays.stream(dataGen.getPartitionPaths()).map(p -> Paths.get(basePath(), p).toString()).collect(Collectors.toList()), basePath()).size();
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}
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private List<WriteStatus> writeData(String instant, int numRecords, boolean doCommit) {
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metaClient = HoodieTableMetaClient.reload(metaClient);
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JavaRDD records = jsc().parallelize(dataGen.generateInserts(instant, numRecords), 2);
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metaClient = HoodieTableMetaClient.reload(metaClient);
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client.startCommitWithTime(instant);
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List<WriteStatus> writeStatues = client.upsert(records, instant).collect();
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org.apache.hudi.testutils.Assertions.assertNoWriteErrors(writeStatues);
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if (doCommit) {
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Assertions.assertTrue(client.commitStats(instant, writeStatues.stream().map(WriteStatus::getStat).collect(Collectors.toList()),
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Option.empty(), metaClient.getCommitActionType()));
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}
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metaClient = HoodieTableMetaClient.reload(metaClient);
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return writeStatues;
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}
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}
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