Examples with HoodieWriteMetadata org.apache.hudi.table.action.HoodieWriteMetadata used on opensource projects

Example 21 with HoodieWriteMetadata

use of org.apache.hudi.table.action.HoodieWriteMetadata in project hudi by apache.

the class JavaBulkInsertHelper method bulkInsert.

@Override
public HoodieWriteMetadata<List<WriteStatus>> bulkInsert(final List<HoodieRecord<T>> inputRecords, final String instantTime, final HoodieTable<T, List<HoodieRecord<T>>, List<HoodieKey>, List<WriteStatus>> table, final HoodieWriteConfig config, final BaseCommitActionExecutor<T, List<HoodieRecord<T>>, List<HoodieKey>, List<WriteStatus>, R> executor, final boolean performDedupe, final Option<BulkInsertPartitioner> userDefinedBulkInsertPartitioner) {
    HoodieWriteMetadata result = new HoodieWriteMetadata();
    // It's possible the transition to inflight could have already happened.
    if (!table.getActiveTimeline().filterInflights().containsInstant(instantTime)) {
        table.getActiveTimeline().transitionRequestedToInflight(new HoodieInstant(HoodieInstant.State.REQUESTED, table.getMetaClient().getCommitActionType(), instantTime), Option.empty(), config.shouldAllowMultiWriteOnSameInstant());
    }
    // write new files
    List<WriteStatus> writeStatuses = bulkInsert(inputRecords, instantTime, table, config, performDedupe, userDefinedBulkInsertPartitioner, false, config.getBulkInsertShuffleParallelism(), new CreateHandleFactory(false));
    // update index
    ((BaseJavaCommitActionExecutor) executor).updateIndexAndCommitIfNeeded(writeStatuses, result);
    return result;
}

Example 22 with HoodieWriteMetadata

use of org.apache.hudi.table.action.HoodieWriteMetadata in project hudi by apache.

the class SparkBootstrapCommitActionExecutor method metadataBootstrap.

/**
 * Perform Metadata Bootstrap.
 * @param partitionFilesList List of partitions and files within that partitions
 */
protected Option<HoodieWriteMetadata<HoodieData<WriteStatus>>> metadataBootstrap(List<Pair<String, List<HoodieFileStatus>>> partitionFilesList) {
    if (null == partitionFilesList || partitionFilesList.isEmpty()) {
        return Option.empty();
    }
    HoodieTableMetaClient metaClient = table.getMetaClient();
    metaClient.getActiveTimeline().createNewInstant(new HoodieInstant(State.REQUESTED, metaClient.getCommitActionType(), HoodieTimeline.METADATA_BOOTSTRAP_INSTANT_TS));
    table.getActiveTimeline().transitionRequestedToInflight(new HoodieInstant(State.REQUESTED, metaClient.getCommitActionType(), HoodieTimeline.METADATA_BOOTSTRAP_INSTANT_TS), Option.empty());
    HoodieData<BootstrapWriteStatus> bootstrapWriteStatuses = runMetadataBootstrap(partitionFilesList);
    HoodieWriteMetadata<HoodieData<WriteStatus>> result = new HoodieWriteMetadata<>();
    updateIndexAndCommitIfNeeded(bootstrapWriteStatuses.map(w -> w), result);
    return Option.of(result);
}

Example 23 with HoodieWriteMetadata

use of org.apache.hudi.table.action.HoodieWriteMetadata in project hudi by apache.

the class SparkBootstrapCommitActionExecutor method commit.

@Override
protected void commit(Option<Map<String, String>> extraMetadata, HoodieWriteMetadata<HoodieData<WriteStatus>> result) {
    // Perform bootstrap index write and then commit. Make sure both record-key and bootstrap-index
    // is all done in a single job DAG.
    Map<String, List<Pair<BootstrapFileMapping, HoodieWriteStat>>> bootstrapSourceAndStats = result.getWriteStatuses().collectAsList().stream().map(w -> {
        BootstrapWriteStatus ws = (BootstrapWriteStatus) w;
        return Pair.of(ws.getBootstrapSourceFileMapping(), ws.getStat());
    }).collect(Collectors.groupingBy(w -> w.getKey().getPartitionPath()));
    HoodieTableMetaClient metaClient = table.getMetaClient();
    try (BootstrapIndex.IndexWriter indexWriter = BootstrapIndex.getBootstrapIndex(metaClient).createWriter(metaClient.getTableConfig().getBootstrapBasePath().get())) {
        LOG.info("Starting to write bootstrap index for source " + config.getBootstrapSourceBasePath() + " in table " + config.getBasePath());
        indexWriter.begin();
        bootstrapSourceAndStats.forEach((key, value) -> indexWriter.appendNextPartition(key, value.stream().map(Pair::getKey).collect(Collectors.toList())));
        indexWriter.finish();
        LOG.info("Finished writing bootstrap index for source " + config.getBootstrapSourceBasePath() + " in table " + config.getBasePath());
    }
    commit(extraMetadata, result, bootstrapSourceAndStats.values().stream().flatMap(f -> f.stream().map(Pair::getValue)).collect(Collectors.toList()));
    LOG.info("Committing metadata bootstrap !!");
}

Example 24 with HoodieWriteMetadata

use of org.apache.hudi.table.action.HoodieWriteMetadata in project hudi by apache.

the class MultipleSparkJobExecutionStrategy method performClustering.

@Override
public HoodieWriteMetadata<HoodieData<WriteStatus>> performClustering(final HoodieClusteringPlan clusteringPlan, final Schema schema, final String instantTime) {
    JavaSparkContext engineContext = HoodieSparkEngineContext.getSparkContext(getEngineContext());
    // execute clustering for each group async and collect WriteStatus
    Stream<HoodieData<WriteStatus>> writeStatusesStream = FutureUtils.allOf(clusteringPlan.getInputGroups().stream().map(inputGroup -> runClusteringForGroupAsync(inputGroup, clusteringPlan.getStrategy().getStrategyParams(), Option.ofNullable(clusteringPlan.getPreserveHoodieMetadata()).orElse(false), instantTime)).collect(Collectors.toList())).join().stream();
    JavaRDD<WriteStatus>[] writeStatuses = convertStreamToArray(writeStatusesStream.map(HoodieJavaRDD::getJavaRDD));
    JavaRDD<WriteStatus> writeStatusRDD = engineContext.union(writeStatuses);
    HoodieWriteMetadata<HoodieData<WriteStatus>> writeMetadata = new HoodieWriteMetadata<>();
    writeMetadata.setWriteStatuses(HoodieJavaRDD.of(writeStatusRDD));
    return writeMetadata;
}

Example 25 with HoodieWriteMetadata

use of org.apache.hudi.table.action.HoodieWriteMetadata in project hudi by apache.

the class BaseSparkCommitActionExecutor method execute.

@Override
public HoodieWriteMetadata<HoodieData<WriteStatus>> execute(HoodieData<HoodieRecord<T>> inputRecords) {
    // Cache the tagged records, so we don't end up computing both
    // TODO: Consistent contract in HoodieWriteClient regarding preppedRecord storage level handling
    JavaRDD<HoodieRecord<T>> inputRDD = HoodieJavaRDD.getJavaRDD(inputRecords);
    if (inputRDD.getStorageLevel() == StorageLevel.NONE()) {
        inputRDD.persist(StorageLevel.MEMORY_AND_DISK_SER());
    } else {
        LOG.info("RDD PreppedRecords was persisted at: " + inputRDD.getStorageLevel());
    }
    WorkloadProfile workloadProfile = null;
    if (isWorkloadProfileNeeded()) {
        context.setJobStatus(this.getClass().getSimpleName(), "Building workload profile");
        workloadProfile = new WorkloadProfile(buildProfile(inputRecords), operationType, table.getIndex().canIndexLogFiles());
        LOG.info("Input workload profile :" + workloadProfile);
    }
    // partition using the insert partitioner
    final Partitioner partitioner = getPartitioner(workloadProfile);
    if (isWorkloadProfileNeeded()) {
        saveWorkloadProfileMetadataToInflight(workloadProfile, instantTime);
    }
    // handle records update with clustering
    HoodieData<HoodieRecord<T>> inputRecordsWithClusteringUpdate = clusteringHandleUpdate(inputRecords);
    context.setJobStatus(this.getClass().getSimpleName(), "Doing partition and writing data");
    HoodieData<WriteStatus> writeStatuses = mapPartitionsAsRDD(inputRecordsWithClusteringUpdate, partitioner);
    HoodieWriteMetadata<HoodieData<WriteStatus>> result = new HoodieWriteMetadata<>();
    updateIndexAndCommitIfNeeded(writeStatuses, result);
    return result;
}