Examples with HoodieClusteringPlan org.apache.hudi.avro.model.HoodieClusteringPlan used on opensource projects

Example 11 with HoodieClusteringPlan

use of org.apache.hudi.avro.model.HoodieClusteringPlan in project hudi by apache.

the class ClusteringPlanActionExecutor method execute.

@Override
public Option<HoodieClusteringPlan> execute() {
    Option<HoodieClusteringPlan> planOption = createClusteringPlan();
    if (planOption.isPresent()) {
        HoodieInstant clusteringInstant = new HoodieInstant(HoodieInstant.State.REQUESTED, HoodieTimeline.REPLACE_COMMIT_ACTION, instantTime);
        try {
            HoodieRequestedReplaceMetadata requestedReplaceMetadata = HoodieRequestedReplaceMetadata.newBuilder().setOperationType(WriteOperationType.CLUSTER.name()).setExtraMetadata(extraMetadata.orElse(Collections.emptyMap())).setClusteringPlan(planOption.get()).build();
            table.getActiveTimeline().saveToPendingReplaceCommit(clusteringInstant, TimelineMetadataUtils.serializeRequestedReplaceMetadata(requestedReplaceMetadata));
        } catch (IOException ioe) {
            throw new HoodieIOException("Exception scheduling clustering", ioe);
        }
    }
    return planOption;
}

Example 12 with HoodieClusteringPlan

use of org.apache.hudi.avro.model.HoodieClusteringPlan in project hudi by apache.

the class ClusteringUtils method createClusteringPlan.

/**
 * Create clustering plan from input fileSliceGroups.
 */
public static HoodieClusteringPlan createClusteringPlan(String strategyClassName, Map<String, String> strategyParams, List<FileSlice>[] fileSliceGroups, Map<String, String> extraMetadata) {
    List<HoodieClusteringGroup> clusteringGroups = Arrays.stream(fileSliceGroups).map(fileSliceGroup -> {
        Map<String, Double> groupMetrics = buildMetrics(fileSliceGroup);
        List<HoodieSliceInfo> sliceInfos = getFileSliceInfo(fileSliceGroup);
        return HoodieClusteringGroup.newBuilder().setSlices(sliceInfos).setMetrics(groupMetrics).build();
    }).collect(Collectors.toList());
    HoodieClusteringStrategy strategy = HoodieClusteringStrategy.newBuilder().setStrategyClassName(strategyClassName).setStrategyParams(strategyParams).build();
    return HoodieClusteringPlan.newBuilder().setInputGroups(clusteringGroups).setExtraMetadata(extraMetadata).setStrategy(strategy).build();
}

Example 13 with HoodieClusteringPlan

use of org.apache.hudi.avro.model.HoodieClusteringPlan in project hudi by apache.

the class TestHoodieClientOnCopyOnWriteStorage method createRequestedReplaceInstant.

protected HoodieInstant createRequestedReplaceInstant(HoodieTableMetaClient metaClient, String clusterTime, List<FileSlice>[] fileSlices) throws IOException {
    HoodieClusteringPlan clusteringPlan = ClusteringUtils.createClusteringPlan(EXECUTION_STRATEGY_CLASS_NAME.defaultValue(), STRATEGY_PARAMS, fileSlices, Collections.emptyMap());
    HoodieInstant clusteringInstant = new HoodieInstant(REQUESTED, REPLACE_COMMIT_ACTION, clusterTime);
    HoodieRequestedReplaceMetadata requestedReplaceMetadata = HoodieRequestedReplaceMetadata.newBuilder().setClusteringPlan(clusteringPlan).setOperationType(WriteOperationType.CLUSTER.name()).build();
    metaClient.getActiveTimeline().saveToPendingReplaceCommit(clusteringInstant, TimelineMetadataUtils.serializeRequestedReplaceMetadata(requestedReplaceMetadata));
    return clusteringInstant;
}

Example 14 with HoodieClusteringPlan

use of org.apache.hudi.avro.model.HoodieClusteringPlan in project hudi by apache.

the class TestHoodieClientOnCopyOnWriteStorage method testPendingClusteringRollback.

@Test
public void testPendingClusteringRollback() throws Exception {
    boolean populateMetaFields = true;
    // setup clustering config.
    HoodieClusteringConfig clusteringConfig = HoodieClusteringConfig.newBuilder().withClusteringMaxNumGroups(10).withClusteringTargetPartitions(0).withInlineClusteringNumCommits(1).withInlineClustering(true).build();
    // start clustering, but don't commit
    List<HoodieRecord> allRecords = testInsertAndClustering(clusteringConfig, populateMetaFields, false);
    HoodieTableMetaClient metaClient = HoodieTableMetaClient.builder().setConf(hadoopConf).setBasePath(basePath).build();
    List<Pair<HoodieInstant, HoodieClusteringPlan>> pendingClusteringPlans = ClusteringUtils.getAllPendingClusteringPlans(metaClient).collect(Collectors.toList());
    assertEquals(1, pendingClusteringPlans.size());
    HoodieInstant pendingClusteringInstant = pendingClusteringPlans.get(0).getLeft();
    // complete another commit after pending clustering
    HoodieWriteConfig.Builder cfgBuilder = getConfigBuilder(EAGER);
    addConfigsForPopulateMetaFields(cfgBuilder, populateMetaFields);
    HoodieWriteConfig config = cfgBuilder.build();
    SparkRDDWriteClient client = getHoodieWriteClient(config);
    dataGen = new HoodieTestDataGenerator();
    String commitTime = HoodieActiveTimeline.createNewInstantTime();
    allRecords.addAll(dataGen.generateInserts(commitTime, 200));
    assertThrows(HoodieUpsertException.class, () -> writeAndVerifyBatch(client, allRecords, commitTime, populateMetaFields));
    // verify pending clustering can be rolled back (even though there is a completed commit greater than pending clustering)
    client.rollback(pendingClusteringInstant.getTimestamp());
    metaClient.reloadActiveTimeline();
    // verify there are no pending clustering instants
    assertEquals(0, ClusteringUtils.getAllPendingClusteringPlans(metaClient).count());
    // delete rollback.completed instant to mimic failed rollback of clustering. and then trigger rollback of clustering again. same rollback instant should be used.
    HoodieInstant rollbackInstant = metaClient.getActiveTimeline().getRollbackTimeline().lastInstant().get();
    FileCreateUtils.deleteRollbackCommit(metaClient.getBasePath(), rollbackInstant.getTimestamp());
    metaClient.reloadActiveTimeline();
    // create replace commit requested meta file so that rollback will not throw FileNotFoundException
    // create file slice with instantTime 001 and build clustering plan including this created 001 file slice.
    HoodieClusteringPlan clusteringPlan = ClusteringTestUtils.createClusteringPlan(metaClient, pendingClusteringInstant.getTimestamp(), "1");
    // create requested replace commit
    HoodieRequestedReplaceMetadata requestedReplaceMetadata = HoodieRequestedReplaceMetadata.newBuilder().setClusteringPlan(clusteringPlan).setOperationType(WriteOperationType.CLUSTER.name()).build();
    FileCreateUtils.createRequestedReplaceCommit(metaClient.getBasePath(), pendingClusteringInstant.getTimestamp(), Option.of(requestedReplaceMetadata));
    // trigger clustering again. no new rollback instants should be generated.
    try {
        client.cluster(pendingClusteringInstant.getTimestamp(), false);
    // new replace commit metadata generated is fake one. so, clustering will fail. but the intention of test is ot check for duplicate rollback instants.
    } catch (Exception e) {
    // ignore.
    }
    metaClient.reloadActiveTimeline();
    // verify that there is no new rollback instant generated
    HoodieInstant newRollbackInstant = metaClient.getActiveTimeline().getRollbackTimeline().lastInstant().get();
    assertEquals(rollbackInstant.getTimestamp(), newRollbackInstant.getTimestamp());
}