[HUDI-1381] Schedule compaction based on time elapsed (#2260)
- introduce configs to control how compaction is triggered - Compaction can be triggered using time, number of delta commits and/or combinations - Default behaviour remains the same.
This commit is contained in:
@@ -25,7 +25,9 @@ import org.apache.hudi.common.model.HoodieFileGroupId;
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import org.apache.hudi.common.model.HoodieKey;
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import org.apache.hudi.common.model.HoodieRecord;
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import org.apache.hudi.common.model.HoodieRecordPayload;
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import org.apache.hudi.common.table.timeline.HoodieActiveTimeline;
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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.table.view.SyncableFileSystemView;
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import org.apache.hudi.common.util.Option;
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import org.apache.hudi.common.util.collection.Pair;
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@@ -37,6 +39,7 @@ import org.apache.log4j.Logger;
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import org.apache.spark.api.java.JavaRDD;
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import java.io.IOException;
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import java.text.ParseException;
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import java.util.Map;
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import java.util.Set;
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import java.util.stream.Collectors;
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@@ -58,36 +61,92 @@ public class SparkScheduleCompactionActionExecutor<T extends HoodieRecordPayload
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@Override
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protected HoodieCompactionPlan scheduleCompaction() {
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LOG.info("Checking if compaction needs to be run on " + config.getBasePath());
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Option<HoodieInstant> lastCompaction = table.getActiveTimeline().getCommitTimeline()
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.filterCompletedInstants().lastInstant();
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String lastCompactionTs = "0";
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if (lastCompaction.isPresent()) {
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lastCompactionTs = lastCompaction.get().getTimestamp();
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// judge if we need to compact according to num delta commits and time elapsed
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boolean compactable = needCompact(config.getInlineCompactTriggerStrategy());
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if (compactable) {
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LOG.info("Generating compaction plan for merge on read table " + config.getBasePath());
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HoodieSparkMergeOnReadTableCompactor compactor = new HoodieSparkMergeOnReadTableCompactor();
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try {
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SyncableFileSystemView fileSystemView = (SyncableFileSystemView) table.getSliceView();
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Set<HoodieFileGroupId> fgInPendingCompactionAndClustering = fileSystemView.getPendingCompactionOperations()
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.map(instantTimeOpPair -> instantTimeOpPair.getValue().getFileGroupId())
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.collect(Collectors.toSet());
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// exclude files in pending clustering from compaction.
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fgInPendingCompactionAndClustering.addAll(fileSystemView.getFileGroupsInPendingClustering().map(Pair::getLeft).collect(Collectors.toSet()));
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return compactor.generateCompactionPlan(context, table, config, instantTime, fgInPendingCompactionAndClustering);
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} catch (IOException e) {
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throw new HoodieCompactionException("Could not schedule compaction " + config.getBasePath(), e);
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}
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}
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int deltaCommitsSinceLastCompaction = table.getActiveTimeline().getDeltaCommitTimeline()
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.findInstantsAfter(lastCompactionTs, Integer.MAX_VALUE).countInstants();
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if (config.getInlineCompactDeltaCommitMax() > deltaCommitsSinceLastCompaction) {
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LOG.info("Not scheduling compaction as only " + deltaCommitsSinceLastCompaction
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+ " delta commits was found since last compaction " + lastCompactionTs + ". Waiting for "
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+ config.getInlineCompactDeltaCommitMax());
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return new HoodieCompactionPlan();
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}
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LOG.info("Generating compaction plan for merge on read table " + config.getBasePath());
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HoodieSparkMergeOnReadTableCompactor compactor = new HoodieSparkMergeOnReadTableCompactor();
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try {
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SyncableFileSystemView fileSystemView = (SyncableFileSystemView) table.getSliceView();
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Set<HoodieFileGroupId> fgInPendingCompactionAndClustering = fileSystemView.getPendingCompactionOperations()
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.map(instantTimeOpPair -> instantTimeOpPair.getValue().getFileGroupId())
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.collect(Collectors.toSet());
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// exclude files in pending clustering from compaction.
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fgInPendingCompactionAndClustering.addAll(fileSystemView.getFileGroupsInPendingClustering().map(Pair::getLeft).collect(Collectors.toSet()));
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return compactor.generateCompactionPlan(context, table, config, instantTime, fgInPendingCompactionAndClustering);
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} catch (IOException e) {
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throw new HoodieCompactionException("Could not schedule compaction " + config.getBasePath(), e);
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}
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return new HoodieCompactionPlan();
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}
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public Pair<Integer, String> getLatestDeltaCommitInfo(CompactionTriggerStrategy compactionTriggerStrategy) {
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Option<HoodieInstant> lastCompaction = table.getActiveTimeline().getCommitTimeline()
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.filterCompletedInstants().lastInstant();
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HoodieTimeline deltaCommits = table.getActiveTimeline().getDeltaCommitTimeline();
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String latestInstantTs;
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int deltaCommitsSinceLastCompaction = 0;
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if (lastCompaction.isPresent()) {
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latestInstantTs = lastCompaction.get().getTimestamp();
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deltaCommitsSinceLastCompaction = deltaCommits.findInstantsAfter(latestInstantTs, Integer.MAX_VALUE).countInstants();
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} else {
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latestInstantTs = deltaCommits.firstInstant().get().getTimestamp();
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deltaCommitsSinceLastCompaction = deltaCommits.findInstantsAfterOrEquals(latestInstantTs, Integer.MAX_VALUE).countInstants();
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}
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return Pair.of(deltaCommitsSinceLastCompaction, latestInstantTs);
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}
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public boolean needCompact(CompactionTriggerStrategy compactionTriggerStrategy) {
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boolean compactable;
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// get deltaCommitsSinceLastCompaction and lastCompactionTs
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Pair<Integer, String> latestDeltaCommitInfo = getLatestDeltaCommitInfo(compactionTriggerStrategy);
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int inlineCompactDeltaCommitMax = config.getInlineCompactDeltaCommitMax();
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int inlineCompactDeltaSecondsMax = config.getInlineCompactDeltaSecondsMax();
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switch (compactionTriggerStrategy) {
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case NUM_COMMITS:
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compactable = inlineCompactDeltaCommitMax <= latestDeltaCommitInfo.getLeft();
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if (compactable) {
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LOG.info(String.format("The delta commits >= %s, trigger compaction scheduler.", inlineCompactDeltaCommitMax));
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}
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break;
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case TIME_ELAPSED:
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compactable = inlineCompactDeltaSecondsMax <= parsedToSeconds(instantTime) - parsedToSeconds(latestDeltaCommitInfo.getRight());
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if (compactable) {
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LOG.info(String.format("The elapsed time >=%ss, trigger compaction scheduler.", inlineCompactDeltaSecondsMax));
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}
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break;
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case NUM_OR_TIME:
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compactable = inlineCompactDeltaCommitMax <= latestDeltaCommitInfo.getLeft()
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|| inlineCompactDeltaSecondsMax <= parsedToSeconds(instantTime) - parsedToSeconds(latestDeltaCommitInfo.getRight());
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if (compactable) {
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LOG.info(String.format("The delta commits >= %s or elapsed_time >=%ss, trigger compaction scheduler.", inlineCompactDeltaCommitMax,
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inlineCompactDeltaSecondsMax));
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}
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break;
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case NUM_AND_TIME:
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compactable = inlineCompactDeltaCommitMax <= latestDeltaCommitInfo.getLeft()
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&& inlineCompactDeltaSecondsMax <= parsedToSeconds(instantTime) - parsedToSeconds(latestDeltaCommitInfo.getRight());
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if (compactable) {
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LOG.info(String.format("The delta commits >= %s and elapsed_time >=%ss, trigger compaction scheduler.", inlineCompactDeltaCommitMax,
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inlineCompactDeltaSecondsMax));
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}
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break;
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default:
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throw new HoodieCompactionException("Unsupported compaction trigger strategy: " + config.getInlineCompactTriggerStrategy());
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}
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return compactable;
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}
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public Long parsedToSeconds(String time) {
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long timestamp;
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try {
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timestamp = HoodieActiveTimeline.COMMIT_FORMATTER.parse(time).getTime() / 1000;
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} catch (ParseException e) {
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throw new HoodieCompactionException(e.getMessage(), e);
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}
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return timestamp;
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}
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}
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@@ -24,7 +24,6 @@ import org.apache.hudi.common.model.HoodieRecord;
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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.table.timeline.HoodieTimeline;
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import org.apache.hudi.common.util.CollectionUtils;
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import org.apache.hudi.config.HoodieCompactionConfig;
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import org.apache.hudi.config.HoodieWriteConfig;
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import org.junit.jupiter.api.Test;
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@@ -39,21 +38,25 @@ import static org.junit.jupiter.api.Assertions.assertEquals;
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public class TestInlineCompaction extends CompactionTestBase {
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private HoodieWriteConfig getConfigForInlineCompaction(int maxDeltaCommits) {
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private HoodieWriteConfig getConfigForInlineCompaction(int maxDeltaCommits, int maxDeltaTime, CompactionTriggerStrategy inlineCompactionType) {
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return getConfigBuilder(false)
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.withCompactionConfig(HoodieCompactionConfig.newBuilder()
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.withInlineCompaction(true).withMaxNumDeltaCommitsBeforeCompaction(maxDeltaCommits).build())
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.withInlineCompaction(true)
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.withMaxNumDeltaCommitsBeforeCompaction(maxDeltaCommits)
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.withMaxDeltaSecondsBeforeCompaction(maxDeltaTime)
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.withInlineCompactionTriggerStrategy(inlineCompactionType).build())
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.build();
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}
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@Test
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public void testCompactionIsNotScheduledEarly() throws Exception {
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// Given: make two commits
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HoodieWriteConfig cfg = getConfigForInlineCompaction(3);
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HoodieWriteConfig cfg = getConfigForInlineCompaction(3, 60, CompactionTriggerStrategy.NUM_COMMITS);
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try (SparkRDDWriteClient<?> writeClient = getHoodieWriteClient(cfg)) {
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List<HoodieRecord> records = dataGen.generateInserts("000", 100);
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List<HoodieRecord> records = dataGen.generateInserts(HoodieActiveTimeline.createNewInstantTime(), 100);
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HoodieReadClient readClient = getHoodieReadClient(cfg.getBasePath());
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runNextDeltaCommits(writeClient, readClient, Arrays.asList("000", "001"), records, cfg, true, new ArrayList<>());
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List<String> instants = IntStream.range(0, 2).mapToObj(i -> HoodieActiveTimeline.createNewInstantTime()).collect(Collectors.toList());
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runNextDeltaCommits(writeClient, readClient, instants, records, cfg, true, new ArrayList<>());
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HoodieTableMetaClient metaClient = new HoodieTableMetaClient(hadoopConf, cfg.getBasePath());
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// Then: ensure no compaction is executedm since there are only 2 delta commits
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@@ -62,9 +65,9 @@ public class TestInlineCompaction extends CompactionTestBase {
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}
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@Test
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public void testSuccessfulCompaction() throws Exception {
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public void testSuccessfulCompactionBasedOnNumCommits() throws Exception {
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// Given: make three commits
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HoodieWriteConfig cfg = getConfigForInlineCompaction(3);
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HoodieWriteConfig cfg = getConfigForInlineCompaction(3, 60, CompactionTriggerStrategy.NUM_COMMITS);
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List<String> instants = IntStream.range(0, 2).mapToObj(i -> HoodieActiveTimeline.createNewInstantTime()).collect(Collectors.toList());
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try (SparkRDDWriteClient<?> writeClient = getHoodieWriteClient(cfg)) {
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@@ -85,32 +88,181 @@ public class TestInlineCompaction extends CompactionTestBase {
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}
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@Test
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public void testCompactionRetryOnFailure() throws Exception {
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public void testSuccessfulCompactionBasedOnTime() throws Exception {
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// Given: make one commit
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HoodieWriteConfig cfg = getConfigForInlineCompaction(5, 10, CompactionTriggerStrategy.TIME_ELAPSED);
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try (SparkRDDWriteClient<?> writeClient = getHoodieWriteClient(cfg)) {
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String instantTime = HoodieActiveTimeline.createNewInstantTime();
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List<HoodieRecord> records = dataGen.generateInserts(instantTime, 10);
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HoodieReadClient readClient = getHoodieReadClient(cfg.getBasePath());
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runNextDeltaCommits(writeClient, readClient, Arrays.asList(instantTime), records, cfg, true, new ArrayList<>());
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// after 10s, that will trigger compaction
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String finalInstant = HoodieActiveTimeline.createNewInstantTime(10000);
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HoodieTableMetaClient metaClient = new HoodieTableMetaClient(hadoopConf, cfg.getBasePath());
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createNextDeltaCommit(finalInstant, dataGen.generateUpdates(finalInstant, 100), writeClient, metaClient, cfg, false);
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// Then: ensure the file slices are compacted as per policy
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metaClient = new HoodieTableMetaClient(hadoopConf, cfg.getBasePath());
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assertEquals(3, metaClient.getActiveTimeline().getCommitsAndCompactionTimeline().countInstants());
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assertEquals(HoodieTimeline.COMMIT_ACTION, metaClient.getActiveTimeline().lastInstant().get().getAction());
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}
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}
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@Test
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public void testSuccessfulCompactionBasedOnNumOrTime() throws Exception {
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// Given: make three commits
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HoodieWriteConfig cfg = getConfigForInlineCompaction(3, 20, CompactionTriggerStrategy.NUM_OR_TIME);
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try (SparkRDDWriteClient<?> writeClient = getHoodieWriteClient(cfg)) {
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List<HoodieRecord> records = dataGen.generateInserts(HoodieActiveTimeline.createNewInstantTime(), 10);
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HoodieReadClient readClient = getHoodieReadClient(cfg.getBasePath());
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List<String> instants = IntStream.range(0, 2).mapToObj(i -> HoodieActiveTimeline.createNewInstantTime()).collect(Collectors.toList());
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runNextDeltaCommits(writeClient, readClient, instants, records, cfg, true, new ArrayList<>());
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// Then: trigger the compaction because reach 3 commits.
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String finalInstant = HoodieActiveTimeline.createNewInstantTime();
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HoodieTableMetaClient metaClient = new HoodieTableMetaClient(hadoopConf, cfg.getBasePath());
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createNextDeltaCommit(finalInstant, dataGen.generateUpdates(finalInstant, 10), writeClient, metaClient, cfg, false);
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metaClient = new HoodieTableMetaClient(hadoopConf, cfg.getBasePath());
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assertEquals(4, metaClient.getActiveTimeline().getCommitsAndCompactionTimeline().countInstants());
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// 4th commit, that will trigger compaction because reach the time elapsed
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metaClient = new HoodieTableMetaClient(hadoopConf, cfg.getBasePath());
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finalInstant = HoodieActiveTimeline.createNewInstantTime(20000);
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createNextDeltaCommit(finalInstant, dataGen.generateUpdates(finalInstant, 10), writeClient, metaClient, cfg, false);
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metaClient = new HoodieTableMetaClient(hadoopConf, cfg.getBasePath());
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assertEquals(6, metaClient.getActiveTimeline().getCommitsAndCompactionTimeline().countInstants());
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}
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}
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@Test
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public void testSuccessfulCompactionBasedOnNumAndTime() throws Exception {
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// Given: make three commits
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HoodieWriteConfig cfg = getConfigForInlineCompaction(3, 20, CompactionTriggerStrategy.NUM_AND_TIME);
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try (SparkRDDWriteClient<?> writeClient = getHoodieWriteClient(cfg)) {
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List<HoodieRecord> records = dataGen.generateInserts(HoodieActiveTimeline.createNewInstantTime(), 10);
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HoodieReadClient readClient = getHoodieReadClient(cfg.getBasePath());
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List<String> instants = IntStream.range(0, 3).mapToObj(i -> HoodieActiveTimeline.createNewInstantTime()).collect(Collectors.toList());
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runNextDeltaCommits(writeClient, readClient, instants, records, cfg, true, new ArrayList<>());
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HoodieTableMetaClient metaClient = new HoodieTableMetaClient(hadoopConf, cfg.getBasePath());
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// Then: ensure no compaction is executedm since there are only 3 delta commits
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assertEquals(3, metaClient.getActiveTimeline().getCommitsAndCompactionTimeline().countInstants());
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// 4th commit, that will trigger compaction
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metaClient = new HoodieTableMetaClient(hadoopConf, cfg.getBasePath());
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String finalInstant = HoodieActiveTimeline.createNewInstantTime(20000);
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createNextDeltaCommit(finalInstant, dataGen.generateUpdates(finalInstant, 10), writeClient, metaClient, cfg, false);
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metaClient = new HoodieTableMetaClient(hadoopConf, cfg.getBasePath());
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assertEquals(5, metaClient.getActiveTimeline().getCommitsAndCompactionTimeline().countInstants());
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}
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}
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@Test
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public void testCompactionRetryOnFailureBasedOnNumCommits() throws Exception {
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// Given: two commits, schedule compaction and its failed/in-flight
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HoodieWriteConfig cfg = getConfigBuilder(false)
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.withCompactionConfig(HoodieCompactionConfig.newBuilder()
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.withInlineCompaction(false).withMaxNumDeltaCommitsBeforeCompaction(1).build())
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.withInlineCompaction(false)
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.withMaxNumDeltaCommitsBeforeCompaction(1).build())
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.build();
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List<String> instants = CollectionUtils.createImmutableList("000", "001");
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List<String> instants = IntStream.range(0, 2).mapToObj(i -> HoodieActiveTimeline.createNewInstantTime()).collect(Collectors.toList());
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String instantTime2;
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try (SparkRDDWriteClient<?> writeClient = getHoodieWriteClient(cfg)) {
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List<HoodieRecord> records = dataGen.generateInserts(instants.get(0), 100);
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HoodieReadClient readClient = getHoodieReadClient(cfg.getBasePath());
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runNextDeltaCommits(writeClient, readClient, instants, records, cfg, true, new ArrayList<>());
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// Schedule compaction 002, make it in-flight (simulates inline compaction failing)
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scheduleCompaction("002", writeClient, cfg);
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moveCompactionFromRequestedToInflight("002", cfg);
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// Schedule compaction instant2, make it in-flight (simulates inline compaction failing)
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instantTime2 = HoodieActiveTimeline.createNewInstantTime();
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scheduleCompaction(instantTime2, writeClient, cfg);
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moveCompactionFromRequestedToInflight(instantTime2, cfg);
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}
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// When: a third commit happens
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HoodieWriteConfig inlineCfg = getConfigForInlineCompaction(2);
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HoodieWriteConfig inlineCfg = getConfigForInlineCompaction(2, 60, CompactionTriggerStrategy.NUM_COMMITS);
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String instantTime3 = HoodieActiveTimeline.createNewInstantTime();
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try (SparkRDDWriteClient<?> writeClient = getHoodieWriteClient(inlineCfg)) {
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HoodieTableMetaClient metaClient = new HoodieTableMetaClient(hadoopConf, cfg.getBasePath());
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createNextDeltaCommit("003", dataGen.generateUpdates("003", 100), writeClient, metaClient, inlineCfg, false);
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createNextDeltaCommit(instantTime3, dataGen.generateUpdates(instantTime3, 100), writeClient, metaClient, inlineCfg, false);
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}
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// Then: 1 delta commit is done, the failed compaction is retried
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metaClient = new HoodieTableMetaClient(hadoopConf, cfg.getBasePath());
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assertEquals(4, metaClient.getActiveTimeline().getCommitsAndCompactionTimeline().countInstants());
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assertEquals("002", metaClient.getActiveTimeline().getCommitTimeline().filterCompletedInstants().firstInstant().get().getTimestamp());
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assertEquals(instantTime2, metaClient.getActiveTimeline().getCommitTimeline().filterCompletedInstants().firstInstant().get().getTimestamp());
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}
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@Test
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public void testCompactionRetryOnFailureBasedOnTime() throws Exception {
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// Given: two commits, schedule compaction and its failed/in-flight
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HoodieWriteConfig cfg = getConfigBuilder(false)
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.withCompactionConfig(HoodieCompactionConfig.newBuilder()
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.withInlineCompaction(false)
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.withMaxDeltaSecondsBeforeCompaction(5)
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.withInlineCompactionTriggerStrategy(CompactionTriggerStrategy.TIME_ELAPSED).build())
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.build();
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String instantTime;
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List<String> instants = IntStream.range(0, 2).mapToObj(i -> HoodieActiveTimeline.createNewInstantTime()).collect(Collectors.toList());
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try (SparkRDDWriteClient<?> writeClient = getHoodieWriteClient(cfg)) {
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List<HoodieRecord> records = dataGen.generateInserts(instants.get(0), 100);
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HoodieReadClient readClient = getHoodieReadClient(cfg.getBasePath());
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runNextDeltaCommits(writeClient, readClient, instants, records, cfg, true, new ArrayList<>());
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// Schedule compaction instantTime, make it in-flight (simulates inline compaction failing)
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instantTime = HoodieActiveTimeline.createNewInstantTime(10000);
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scheduleCompaction(instantTime, writeClient, cfg);
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moveCompactionFromRequestedToInflight(instantTime, cfg);
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}
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// When: commit happens after 10s
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HoodieWriteConfig inlineCfg = getConfigForInlineCompaction(5, 10, CompactionTriggerStrategy.TIME_ELAPSED);
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String instantTime2;
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try (SparkRDDWriteClient<?> writeClient = getHoodieWriteClient(inlineCfg)) {
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HoodieTableMetaClient metaClient = new HoodieTableMetaClient(hadoopConf, cfg.getBasePath());
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instantTime2 = HoodieActiveTimeline.createNewInstantTime();
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createNextDeltaCommit(instantTime2, dataGen.generateUpdates(instantTime2, 10), writeClient, metaClient, inlineCfg, false);
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}
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// Then: 1 delta commit is done, the failed compaction is retried
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metaClient = new HoodieTableMetaClient(hadoopConf, cfg.getBasePath());
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assertEquals(4, metaClient.getActiveTimeline().getCommitsAndCompactionTimeline().countInstants());
|
||||
assertEquals(instantTime, metaClient.getActiveTimeline().getCommitTimeline().filterCompletedInstants().firstInstant().get().getTimestamp());
|
||||
}
|
||||
|
||||
@Test
|
||||
public void testCompactionRetryOnFailureBasedOnNumAndTime() throws Exception {
|
||||
// Given: two commits, schedule compaction and its failed/in-flight
|
||||
HoodieWriteConfig cfg = getConfigBuilder(false)
|
||||
.withCompactionConfig(HoodieCompactionConfig.newBuilder()
|
||||
.withInlineCompaction(false)
|
||||
.withMaxDeltaSecondsBeforeCompaction(1)
|
||||
.withMaxNumDeltaCommitsBeforeCompaction(1)
|
||||
.withInlineCompactionTriggerStrategy(CompactionTriggerStrategy.NUM_AND_TIME).build())
|
||||
.build();
|
||||
String instantTime;
|
||||
List<String> instants = IntStream.range(0, 2).mapToObj(i -> HoodieActiveTimeline.createNewInstantTime()).collect(Collectors.toList());
|
||||
try (SparkRDDWriteClient<?> writeClient = getHoodieWriteClient(cfg)) {
|
||||
List<HoodieRecord> records = dataGen.generateInserts(instants.get(0), 10);
|
||||
HoodieReadClient readClient = getHoodieReadClient(cfg.getBasePath());
|
||||
runNextDeltaCommits(writeClient, readClient, instants, records, cfg, true, new ArrayList<>());
|
||||
// Schedule compaction instantTime, make it in-flight (simulates inline compaction failing)
|
||||
instantTime = HoodieActiveTimeline.createNewInstantTime();
|
||||
scheduleCompaction(instantTime, writeClient, cfg);
|
||||
moveCompactionFromRequestedToInflight(instantTime, cfg);
|
||||
}
|
||||
|
||||
// When: a third commit happens
|
||||
HoodieWriteConfig inlineCfg = getConfigForInlineCompaction(3, 20, CompactionTriggerStrategy.NUM_OR_TIME);
|
||||
String instantTime2;
|
||||
try (SparkRDDWriteClient<?> writeClient = getHoodieWriteClient(inlineCfg)) {
|
||||
HoodieTableMetaClient metaClient = new HoodieTableMetaClient(hadoopConf, cfg.getBasePath());
|
||||
instantTime2 = HoodieActiveTimeline.createNewInstantTime();
|
||||
createNextDeltaCommit(instantTime2, dataGen.generateUpdates(instantTime2, 10), writeClient, metaClient, inlineCfg, false);
|
||||
}
|
||||
|
||||
// Then: 1 delta commit is done, the failed compaction is retried
|
||||
metaClient = new HoodieTableMetaClient(hadoopConf, cfg.getBasePath());
|
||||
assertEquals(4, metaClient.getActiveTimeline().getCommitsAndCompactionTimeline().countInstants());
|
||||
assertEquals(instantTime, metaClient.getActiveTimeline().getCommitTimeline().filterCompletedInstants().firstInstant().get().getTimestamp());
|
||||
}
|
||||
}
|
||||
|
||||
Reference in New Issue
Block a user