Examples with SparkRDDWriteClient org.apache.hudi.client.SparkRDDWriteClient used on opensource projects

Example 76 with SparkRDDWriteClient

use of org.apache.hudi.client.SparkRDDWriteClient in project hudi by apache.

the class HoodieTestSuiteWriter method commitCompaction.

public void commitCompaction(JavaRDD<WriteStatus> records, JavaRDD<DeltaWriteStats> generatedDataStats, Option<String> instantTime) throws IOException {
    if (!cfg.useDeltaStreamer) {
        Map<String, String> extraMetadata = new HashMap<>();
        /**
         * Store the checkpoint in the commit metadata just like
         * {@link HoodieDeltaStreamer#commit(SparkRDDWriteClient, JavaRDD, Option)} *
         */
        extraMetadata.put(HoodieDeltaStreamerWrapper.CHECKPOINT_KEY, lastCheckpoint.get());
        if (generatedDataStats != null && generatedDataStats.count() > 1) {
            // Just stores the path where this batch of data is generated to
            extraMetadata.put(GENERATED_DATA_PATH, generatedDataStats.map(s -> s.getFilePath()).collect().get(0));
        }
        HoodieSparkTable<HoodieRecordPayload> table = HoodieSparkTable.create(writeClient.getConfig(), writeClient.getEngineContext());
        HoodieCommitMetadata metadata = CompactHelpers.getInstance().createCompactionMetadata(table, instantTime.get(), HoodieJavaRDD.of(records), writeClient.getConfig().getSchema());
        writeClient.commitCompaction(instantTime.get(), metadata, Option.of(extraMetadata));
    }
}

Example 77 with SparkRDDWriteClient

use of org.apache.hudi.client.SparkRDDWriteClient in project hudi by apache.

the class UtilHelpers method createHoodieClient.

/**
 * Build Hoodie write client.
 *
 * @param jsc         Java Spark Context
 * @param basePath    Base Path
 * @param schemaStr   Schema
 * @param parallelism Parallelism
 */
public static SparkRDDWriteClient<HoodieRecordPayload> createHoodieClient(JavaSparkContext jsc, String basePath, String schemaStr, int parallelism, Option<String> compactionStrategyClass, TypedProperties properties) {
    HoodieCompactionConfig compactionConfig = compactionStrategyClass.map(strategy -> HoodieCompactionConfig.newBuilder().withInlineCompaction(false).withCompactionStrategy(ReflectionUtils.loadClass(strategy)).build()).orElse(HoodieCompactionConfig.newBuilder().withInlineCompaction(false).build());
    HoodieWriteConfig config = HoodieWriteConfig.newBuilder().withPath(basePath).withParallelism(parallelism, parallelism).withBulkInsertParallelism(parallelism).withDeleteParallelism(parallelism).withSchema(schemaStr).combineInput(true, true).withCompactionConfig(compactionConfig).withIndexConfig(HoodieIndexConfig.newBuilder().withIndexType(HoodieIndex.IndexType.BLOOM).build()).withProps(properties).build();
    return new SparkRDDWriteClient<>(new HoodieSparkEngineContext(jsc), config);
}

Example 78 with SparkRDDWriteClient

use of org.apache.hudi.client.SparkRDDWriteClient in project hudi by apache.

the class TestHoodieBackedMetadata method testNonPartitioned.

@Test
public void testNonPartitioned() throws Exception {
    init(HoodieTableType.COPY_ON_WRITE, false);
    HoodieSparkEngineContext engineContext = new HoodieSparkEngineContext(jsc);
    HoodieTestDataGenerator nonPartitionedGenerator = new HoodieTestDataGenerator(new String[] { "" });
    try (SparkRDDWriteClient client = new SparkRDDWriteClient(engineContext, getWriteConfig(true, true))) {
        // Write 1 (Bulk insert)
        String newCommitTime = "0000001";
        List<HoodieRecord> records = nonPartitionedGenerator.generateInserts(newCommitTime, 10);
        client.startCommitWithTime(newCommitTime);
        List<WriteStatus> writeStatuses = client.bulkInsert(jsc.parallelize(records, 1), newCommitTime).collect();
        validateMetadata(client);
        List<String> metadataPartitions = metadata(client).getAllPartitionPaths();
        assertTrue(metadataPartitions.contains(""), "Must contain empty partition");
    }
}

Example 79 with SparkRDDWriteClient

use of org.apache.hudi.client.SparkRDDWriteClient in project hudi by apache.

the class TestHoodieBackedMetadata method validateMetadata.

private void validateMetadata(SparkRDDWriteClient testClient) throws IOException {
    HoodieWriteConfig config = testClient.getConfig();
    SparkRDDWriteClient client;
    if (config.isEmbeddedTimelineServerEnabled()) {
        testClient.close();
        client = new SparkRDDWriteClient(testClient.getEngineContext(), testClient.getConfig());
    } else {
        client = testClient;
    }
    HoodieTableMetadata tableMetadata = metadata(client);
    assertNotNull(tableMetadata, "MetadataReader should have been initialized");
    if (!config.isMetadataTableEnabled()) {
        return;
    }
    HoodieTimer timer = new HoodieTimer().startTimer();
    HoodieSparkEngineContext engineContext = new HoodieSparkEngineContext(jsc);
    // Partitions should match
    FileSystemBackedTableMetadata fsBackedTableMetadata = new FileSystemBackedTableMetadata(engineContext, new SerializableConfiguration(hadoopConf), config.getBasePath(), config.shouldAssumeDatePartitioning());
    List<String> fsPartitions = fsBackedTableMetadata.getAllPartitionPaths();
    List<String> metadataPartitions = tableMetadata.getAllPartitionPaths();
    Collections.sort(fsPartitions);
    Collections.sort(metadataPartitions);
    assertEquals(fsPartitions.size(), metadataPartitions.size(), "Partitions should match");
    assertTrue(fsPartitions.equals(metadataPartitions), "Partitions should match");
    // Files within each partition should match
    metaClient = HoodieTableMetaClient.reload(metaClient);
    HoodieTable table = HoodieSparkTable.create(config, engineContext);
    TableFileSystemView tableView = table.getHoodieView();
    List<String> fullPartitionPaths = fsPartitions.stream().map(partition -> basePath + "/" + partition).collect(Collectors.toList());
    Map<String, FileStatus[]> partitionToFilesMap = tableMetadata.getAllFilesInPartitions(fullPartitionPaths);
    assertEquals(fsPartitions.size(), partitionToFilesMap.size());
    fsPartitions.forEach(partition -> {
        try {
            Path partitionPath;
            if (partition.equals("")) {
                // Should be the non-partitioned case
                partitionPath = new Path(basePath);
            } else {
                partitionPath = new Path(basePath, partition);
            }
            FileStatus[] fsStatuses = FSUtils.getAllDataFilesInPartition(fs, partitionPath);
            FileStatus[] metaStatuses = tableMetadata.getAllFilesInPartition(partitionPath);
            List<String> fsFileNames = Arrays.stream(fsStatuses).map(s -> s.getPath().getName()).collect(Collectors.toList());
            List<String> metadataFilenames = Arrays.stream(metaStatuses).map(s -> s.getPath().getName()).collect(Collectors.toList());
            Collections.sort(fsFileNames);
            Collections.sort(metadataFilenames);
            assertEquals(fsStatuses.length, partitionToFilesMap.get(partitionPath.toString()).length);
            // File sizes should be valid
            Arrays.stream(metaStatuses).forEach(s -> assertTrue(s.getLen() > 0));
            if ((fsFileNames.size() != metadataFilenames.size()) || (!fsFileNames.equals(metadataFilenames))) {
                LOG.info("*** File system listing = " + Arrays.toString(fsFileNames.toArray()));
                LOG.info("*** Metadata listing = " + Arrays.toString(metadataFilenames.toArray()));
                for (String fileName : fsFileNames) {
                    if (!metadataFilenames.contains(fileName)) {
                        LOG.error(partition + "FsFilename " + fileName + " not found in Meta data");
                    }
                }
                for (String fileName : metadataFilenames) {
                    if (!fsFileNames.contains(fileName)) {
                        LOG.error(partition + "Metadata file " + fileName + " not found in original FS");
                    }
                }
            }
            // Block sizes should be valid
            Arrays.stream(metaStatuses).forEach(s -> assertTrue(s.getBlockSize() > 0));
            List<Long> fsBlockSizes = Arrays.stream(fsStatuses).map(FileStatus::getBlockSize).collect(Collectors.toList());
            Collections.sort(fsBlockSizes);
            List<Long> metadataBlockSizes = Arrays.stream(metaStatuses).map(FileStatus::getBlockSize).collect(Collectors.toList());
            Collections.sort(metadataBlockSizes);
            assertEquals(fsBlockSizes, metadataBlockSizes);
            assertEquals(fsFileNames.size(), metadataFilenames.size(), "Files within partition " + partition + " should match");
            assertTrue(fsFileNames.equals(metadataFilenames), "Files within partition " + partition + " should match");
            // FileSystemView should expose the same data
            List<HoodieFileGroup> fileGroups = tableView.getAllFileGroups(partition).collect(Collectors.toList());
            fileGroups.addAll(tableView.getAllReplacedFileGroups(partition).collect(Collectors.toList()));
            fileGroups.forEach(g -> LogManager.getLogger(TestHoodieBackedMetadata.class).info(g));
            fileGroups.forEach(g -> g.getAllBaseFiles().forEach(b -> LogManager.getLogger(TestHoodieBackedMetadata.class).info(b)));
            fileGroups.forEach(g -> g.getAllFileSlices().forEach(s -> LogManager.getLogger(TestHoodieBackedMetadata.class).info(s)));
            long numFiles = fileGroups.stream().mapToLong(g -> g.getAllBaseFiles().count() + g.getAllFileSlices().mapToLong(s -> s.getLogFiles().count()).sum()).sum();
            assertEquals(metadataFilenames.size(), numFiles);
        } catch (IOException e) {
            e.printStackTrace();
            assertTrue(false, "Exception should not be raised: " + e);
        }
    });
    HoodieBackedTableMetadataWriter metadataWriter = metadataWriter(client);
    assertNotNull(metadataWriter, "MetadataWriter should have been initialized");
    // Validate write config for metadata table
    HoodieWriteConfig metadataWriteConfig = metadataWriter.getWriteConfig();
    assertFalse(metadataWriteConfig.isMetadataTableEnabled(), "No metadata table for metadata table");
    // Metadata table should be in sync with the dataset
    HoodieTableMetaClient metadataMetaClient = HoodieTableMetaClient.builder().setConf(hadoopConf).setBasePath(metadataTableBasePath).build();
    // Metadata table is MOR
    assertEquals(metadataMetaClient.getTableType(), HoodieTableType.MERGE_ON_READ, "Metadata Table should be MOR");
    // Metadata table is HFile format
    assertEquals(metadataMetaClient.getTableConfig().getBaseFileFormat(), HoodieFileFormat.HFILE, "Metadata Table base file format should be HFile");
    // Metadata table has a fixed number of partitions
    // Cannot use FSUtils.getAllFoldersWithPartitionMetaFile for this as that function filters all directory
    // in the .hoodie folder.
    List<String> metadataTablePartitions = FSUtils.getAllPartitionPaths(engineContext, HoodieTableMetadata.getMetadataTableBasePath(basePath), false, false);
    assertEquals(metadataWriter.getEnabledPartitionTypes().size(), metadataTablePartitions.size());
    final Map<String, MetadataPartitionType> metadataEnabledPartitionTypes = new HashMap<>();
    metadataWriter.getEnabledPartitionTypes().forEach(e -> metadataEnabledPartitionTypes.put(e.getPartitionPath(), e));
    // Metadata table should automatically compact and clean
    // versions are +1 as autoclean / compaction happens end of commits
    int numFileVersions = metadataWriteConfig.getCleanerFileVersionsRetained() + 1;
    HoodieTableFileSystemView fsView = new HoodieTableFileSystemView(metadataMetaClient, metadataMetaClient.getActiveTimeline());
    metadataTablePartitions.forEach(partition -> {
        List<FileSlice> latestSlices = fsView.getLatestFileSlices(partition).collect(Collectors.toList());
        assertTrue(latestSlices.stream().map(FileSlice::getBaseFile).count() <= metadataEnabledPartitionTypes.get(partition).getFileGroupCount(), "Should have a single latest base file per file group");
        assertTrue(latestSlices.size() <= metadataEnabledPartitionTypes.get(partition).getFileGroupCount(), "Should have a single latest file slice per file group");
        assertTrue(latestSlices.size() <= (numFileVersions * metadataEnabledPartitionTypes.get(partition).getFileGroupCount()), "Should limit file slice to " + numFileVersions + " per file group, but was " + latestSlices.size());
    });
    LOG.info("Validation time=" + timer.endTimer());
}

Example 80 with SparkRDDWriteClient

use of org.apache.hudi.client.SparkRDDWriteClient in project hudi by apache.

the class TestHoodieBackedMetadata method testErrorCases.

/**
 * Test various error scenarios.
 */
@Test
public void testErrorCases() throws Exception {
    init(HoodieTableType.COPY_ON_WRITE);
    HoodieSparkEngineContext engineContext = new HoodieSparkEngineContext(jsc);
    // should be rolled back to last valid commit.
    try (SparkRDDWriteClient client = new SparkRDDWriteClient(engineContext, getWriteConfigBuilder(HoodieFailedWritesCleaningPolicy.EAGER, true, true, false, true, false, false).build(), true)) {
        String newCommitTime = HoodieActiveTimeline.createNewInstantTime();
        client.startCommitWithTime(newCommitTime);
        List<HoodieRecord> records = dataGen.generateInserts(newCommitTime, 10);
        List<WriteStatus> writeStatuses = client.upsert(jsc.parallelize(records, 1), newCommitTime).collect();
        assertNoWriteErrors(writeStatuses);
        validateMetadata(client);
        newCommitTime = HoodieActiveTimeline.createNewInstantTime();
        client.startCommitWithTime(newCommitTime);
        records = dataGen.generateInserts(newCommitTime, 5);
        writeStatuses = client.bulkInsert(jsc.parallelize(records, 1), newCommitTime).collect();
        assertNoWriteErrors(writeStatuses);
        validateMetadata(client);
        // There is no way to simulate failed commit on the main dataset, hence we simply delete the completed
        // instant so that only the inflight is left over.
        String commitInstantFileName = HoodieTimeline.makeCommitFileName(newCommitTime);
        assertTrue(fs.delete(new Path(basePath + Path.SEPARATOR + HoodieTableMetaClient.METAFOLDER_NAME, commitInstantFileName), false));
    }
    try (SparkRDDWriteClient client = new SparkRDDWriteClient(engineContext, getWriteConfigBuilder(HoodieFailedWritesCleaningPolicy.EAGER, true, true, false, true, false, false).build(), true)) {
        String newCommitTime = client.startCommit();
        // Next insert
        List<HoodieRecord> records = dataGen.generateInserts(newCommitTime, 5);
        List<WriteStatus> writeStatuses = client.upsert(jsc.parallelize(records, 1), newCommitTime).collect();
        assertNoWriteErrors(writeStatuses);
        // Post rollback commit and metadata should be valid
        validateMetadata(client);
    }
}