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

Example 1 with HoodieClusteringGroup

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

the class TestMetadataConversionUtils method createReplace.

private void createReplace(String instantTime, WriteOperationType writeOperationType, Boolean isClustering) throws Exception {
    String fileId1 = "file-1";
    String fileId2 = "file-2";
    // create replace instant to mark fileId1 as deleted
    HoodieReplaceCommitMetadata replaceMetadata = new HoodieReplaceCommitMetadata();
    Map<String, List<String>> partitionFileIds = new HashMap<>();
    partitionFileIds.put(HoodieTestDataGenerator.DEFAULT_FIRST_PARTITION_PATH, Arrays.asList(fileId2));
    replaceMetadata.setPartitionToReplaceFileIds(partitionFileIds);
    HoodieWriteStat writeStat = new HoodieWriteStat();
    writeStat.setFileId("file-1");
    replaceMetadata.addWriteStat(HoodieTestDataGenerator.DEFAULT_FIRST_PARTITION_PATH, writeStat);
    replaceMetadata.setOperationType(writeOperationType);
    // some cases requestedReplaceMetadata will be null
    // e.g. insert_overwrite_table or insert_overwrite without clustering
    HoodieRequestedReplaceMetadata requestedReplaceMetadata = null;
    HoodieCommitMetadata inflightReplaceMetadata = null;
    if (isClustering) {
        requestedReplaceMetadata = new HoodieRequestedReplaceMetadata();
        requestedReplaceMetadata.setOperationType(writeOperationType.name());
        HoodieClusteringPlan clusteringPlan = new HoodieClusteringPlan();
        HoodieClusteringGroup clusteringGroup = new HoodieClusteringGroup();
        HoodieSliceInfo sliceInfo = new HoodieSliceInfo();
        clusteringGroup.setSlices(Arrays.asList(sliceInfo));
        clusteringPlan.setInputGroups(Arrays.asList(clusteringGroup));
        requestedReplaceMetadata.setClusteringPlan(clusteringPlan);
        requestedReplaceMetadata.setVersion(TimelineLayoutVersion.CURR_VERSION);
    } else {
        // inflightReplaceMetadata will be null in clustering but not null
        // in insert_overwrite or insert_overwrite_table
        inflightReplaceMetadata = new HoodieCommitMetadata();
        inflightReplaceMetadata.setOperationType(writeOperationType);
        inflightReplaceMetadata.setCompacted(false);
    }
    HoodieTestTable.of(metaClient).addReplaceCommit(instantTime, Option.ofNullable(requestedReplaceMetadata), Option.ofNullable(inflightReplaceMetadata), replaceMetadata).withBaseFilesInPartition(HoodieTestDataGenerator.DEFAULT_FIRST_PARTITION_PATH, fileId1, fileId2);
}

Example 2 with HoodieClusteringGroup

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

the class TestSimpleConcurrentFileWritesConflictResolutionStrategy method createReplace.

private void createReplace(String instantTime, WriteOperationType writeOperationType) throws Exception {
    String fileId1 = "file-1";
    String fileId2 = "file-2";
    // create replace instant to mark fileId1 as deleted
    HoodieReplaceCommitMetadata replaceMetadata = new HoodieReplaceCommitMetadata();
    Map<String, List<String>> partitionFileIds = new HashMap<>();
    partitionFileIds.put(HoodieTestDataGenerator.DEFAULT_FIRST_PARTITION_PATH, Arrays.asList(fileId2));
    replaceMetadata.setPartitionToReplaceFileIds(partitionFileIds);
    HoodieWriteStat writeStat = new HoodieWriteStat();
    writeStat.setFileId("file-1");
    replaceMetadata.addWriteStat(HoodieTestDataGenerator.DEFAULT_FIRST_PARTITION_PATH, writeStat);
    replaceMetadata.setOperationType(writeOperationType);
    // create replace instant to mark fileId1 as deleted
    HoodieRequestedReplaceMetadata requestedReplaceMetadata = new HoodieRequestedReplaceMetadata();
    requestedReplaceMetadata.setOperationType(WriteOperationType.CLUSTER.name());
    HoodieClusteringPlan clusteringPlan = new HoodieClusteringPlan();
    HoodieClusteringGroup clusteringGroup = new HoodieClusteringGroup();
    HoodieSliceInfo sliceInfo = new HoodieSliceInfo();
    sliceInfo.setFileId(fileId1);
    sliceInfo.setPartitionPath(HoodieTestDataGenerator.DEFAULT_FIRST_PARTITION_PATH);
    clusteringGroup.setSlices(Arrays.asList(sliceInfo));
    clusteringPlan.setInputGroups(Arrays.asList(clusteringGroup));
    requestedReplaceMetadata.setClusteringPlan(clusteringPlan);
    requestedReplaceMetadata.setVersion(TimelineLayoutVersion.CURR_VERSION);
    HoodieTestTable.of(metaClient).addReplaceCommit(instantTime, Option.of(requestedReplaceMetadata), Option.empty(), replaceMetadata).withBaseFilesInPartition(HoodieTestDataGenerator.DEFAULT_FIRST_PARTITION_PATH, fileId1, fileId2);
}

Example 3 with HoodieClusteringGroup

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

the class TestCleaner method generateReplaceCommitMetadata.

private Pair<HoodieRequestedReplaceMetadata, HoodieReplaceCommitMetadata> generateReplaceCommitMetadata(String instantTime, String partition, String replacedFileId, String newFileId) {
    HoodieRequestedReplaceMetadata requestedReplaceMetadata = new HoodieRequestedReplaceMetadata();
    requestedReplaceMetadata.setOperationType(WriteOperationType.CLUSTER.toString());
    requestedReplaceMetadata.setVersion(1);
    HoodieSliceInfo sliceInfo = HoodieSliceInfo.newBuilder().setFileId(replacedFileId).build();
    List<HoodieClusteringGroup> clusteringGroups = new ArrayList<>();
    clusteringGroups.add(HoodieClusteringGroup.newBuilder().setVersion(1).setNumOutputFileGroups(1).setMetrics(Collections.emptyMap()).setSlices(Collections.singletonList(sliceInfo)).build());
    requestedReplaceMetadata.setExtraMetadata(Collections.emptyMap());
    requestedReplaceMetadata.setClusteringPlan(HoodieClusteringPlan.newBuilder().setVersion(1).setExtraMetadata(Collections.emptyMap()).setStrategy(HoodieClusteringStrategy.newBuilder().setStrategyClassName("").setVersion(1).build()).setInputGroups(clusteringGroups).build());
    HoodieReplaceCommitMetadata replaceMetadata = new HoodieReplaceCommitMetadata();
    replaceMetadata.addReplaceFileId(partition, replacedFileId);
    replaceMetadata.setOperationType(WriteOperationType.CLUSTER);
    if (!StringUtils.isNullOrEmpty(newFileId)) {
        HoodieWriteStat writeStat = new HoodieWriteStat();
        writeStat.setPartitionPath(partition);
        writeStat.setPath(partition + "/" + getBaseFilename(instantTime, newFileId));
        writeStat.setFileId(newFileId);
        writeStat.setTotalWriteBytes(1);
        writeStat.setFileSizeInBytes(1);
        replaceMetadata.addWriteStat(partition, writeStat);
    }
    return Pair.of(requestedReplaceMetadata, replaceMetadata);
}

Example 4 with HoodieClusteringGroup

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

the class MultipleSparkJobExecutionStrategy method runClusteringForGroupAsync.

/**
 * Submit job to execute clustering for the group.
 */
private CompletableFuture<HoodieData<WriteStatus>> runClusteringForGroupAsync(HoodieClusteringGroup clusteringGroup, Map<String, String> strategyParams, boolean preserveHoodieMetadata, String instantTime) {
    return CompletableFuture.supplyAsync(() -> {
        JavaSparkContext jsc = HoodieSparkEngineContext.getSparkContext(getEngineContext());
        HoodieData<HoodieRecord<T>> inputRecords = readRecordsForGroup(jsc, clusteringGroup, instantTime);
        Schema readerSchema = HoodieAvroUtils.addMetadataFields(new Schema.Parser().parse(getWriteConfig().getSchema()));
        List<HoodieFileGroupId> inputFileIds = clusteringGroup.getSlices().stream().map(info -> new HoodieFileGroupId(info.getPartitionPath(), info.getFileId())).collect(Collectors.toList());
        return performClusteringWithRecordsRDD(inputRecords, clusteringGroup.getNumOutputFileGroups(), instantTime, strategyParams, readerSchema, inputFileIds, preserveHoodieMetadata);
    });
}

Example 5 with HoodieClusteringGroup

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

the class PartitionAwareClusteringPlanStrategy method generateClusteringPlan.

@Override
public Option<HoodieClusteringPlan> generateClusteringPlan() {
    HoodieTableMetaClient metaClient = getHoodieTable().getMetaClient();
    LOG.info("Scheduling clustering for " + metaClient.getBasePath());
    HoodieWriteConfig config = getWriteConfig();
    List<String> partitionPaths = FSUtils.getAllPartitionPaths(getEngineContext(), config.getMetadataConfig(), metaClient.getBasePath());
    // get matched partitions if set
    partitionPaths = getMatchedPartitions(config, partitionPaths);
    // filter the partition paths if needed to reduce list status
    partitionPaths = filterPartitionPaths(partitionPaths);
    if (partitionPaths.isEmpty()) {
        // In case no partitions could be picked, return no clustering plan
        return Option.empty();
    }
    List<HoodieClusteringGroup> clusteringGroups = getEngineContext().flatMap(partitionPaths, partitionPath -> {
        List<FileSlice> fileSlicesEligible = getFileSlicesEligibleForClustering(partitionPath).collect(Collectors.toList());
        return buildClusteringGroupsForPartition(partitionPath, fileSlicesEligible).limit(getWriteConfig().getClusteringMaxNumGroups());
    }, partitionPaths.size()).stream().limit(getWriteConfig().getClusteringMaxNumGroups()).collect(Collectors.toList());
    if (clusteringGroups.isEmpty()) {
        LOG.info("No data available to cluster");
        return Option.empty();
    }
    HoodieClusteringStrategy strategy = HoodieClusteringStrategy.newBuilder().setStrategyClassName(getWriteConfig().getClusteringExecutionStrategyClass()).setStrategyParams(getStrategyParams()).build();
    return Option.of(HoodieClusteringPlan.newBuilder().setStrategy(strategy).setInputGroups(clusteringGroups).setExtraMetadata(getExtraMetadata()).setVersion(getPlanVersion()).setPreserveHoodieMetadata(getWriteConfig().isPreserveHoodieCommitMetadataForClustering()).build());
}