Examples with HoodieMergedLogRecordScanner org.apache.hudi.common.table.log.HoodieMergedLogRecordScanner used on opensource projects

Example 1 with HoodieMergedLogRecordScanner

use of org.apache.hudi.common.table.log.HoodieMergedLogRecordScanner in project hudi by apache.

the class BootstrapOperator method loadRecords.

/**
 * Loads all the indices of give partition path into the backup state.
 *
 * @param partitionPath The partition path
 */
@SuppressWarnings("unchecked")
protected void loadRecords(String partitionPath) throws Exception {
    long start = System.currentTimeMillis();
    final int parallelism = getRuntimeContext().getNumberOfParallelSubtasks();
    final int maxParallelism = getRuntimeContext().getMaxNumberOfParallelSubtasks();
    final int taskID = getRuntimeContext().getIndexOfThisSubtask();
    HoodieTimeline commitsTimeline = this.hoodieTable.getMetaClient().getCommitsTimeline();
    if (!StringUtils.isNullOrEmpty(lastInstantTime)) {
        commitsTimeline = commitsTimeline.findInstantsAfter(lastInstantTime);
    }
    Option<HoodieInstant> latestCommitTime = commitsTimeline.filterCompletedInstants().lastInstant();
    if (latestCommitTime.isPresent()) {
        BaseFileUtils fileUtils = BaseFileUtils.getInstance(this.hoodieTable.getBaseFileFormat());
        Schema schema = new TableSchemaResolver(this.hoodieTable.getMetaClient()).getTableAvroSchema();
        List<FileSlice> fileSlices = this.hoodieTable.getSliceView().getLatestFileSlicesBeforeOrOn(partitionPath, latestCommitTime.get().getTimestamp(), true).collect(toList());
        for (FileSlice fileSlice : fileSlices) {
            if (!shouldLoadFile(fileSlice.getFileId(), maxParallelism, parallelism, taskID)) {
                continue;
            }
            LOG.info("Load records from {}.", fileSlice);
            // load parquet records
            fileSlice.getBaseFile().ifPresent(baseFile -> {
                // filter out crushed files
                if (!isValidFile(baseFile.getFileStatus())) {
                    return;
                }
                try (ClosableIterator<HoodieKey> iterator = fileUtils.getHoodieKeyIterator(this.hadoopConf, new Path(baseFile.getPath()))) {
                    iterator.forEachRemaining(hoodieKey -> {
                        output.collect(new StreamRecord(new IndexRecord(generateHoodieRecord(hoodieKey, fileSlice))));
                    });
                }
            });
            // load avro log records
            List<String> logPaths = fileSlice.getLogFiles().filter(logFile -> isValidFile(logFile.getFileStatus())).map(logFile -> logFile.getPath().toString()).collect(toList());
            HoodieMergedLogRecordScanner scanner = FormatUtils.logScanner(logPaths, schema, latestCommitTime.get().getTimestamp(), writeConfig, hadoopConf);
            try {
                for (String recordKey : scanner.getRecords().keySet()) {
                    output.collect(new StreamRecord(new IndexRecord(generateHoodieRecord(new HoodieKey(recordKey, partitionPath), fileSlice))));
                }
            } catch (Exception e) {
                throw new HoodieException(String.format("Error when loading record keys from files: %s", logPaths), e);
            } finally {
                scanner.close();
            }
        }
    }
    long cost = System.currentTimeMillis() - start;
    LOG.info("Task [{}}:{}}] finish loading the index under partition {} and sending them to downstream, time cost: {} milliseconds.", this.getClass().getSimpleName(), taskID, partitionPath, cost);
}

Example 2 with HoodieMergedLogRecordScanner

use of org.apache.hudi.common.table.log.HoodieMergedLogRecordScanner in project hudi by apache.

the class MultipleSparkJobExecutionStrategy method readRecordsForGroupWithLogs.

/**
 * Read records from baseFiles, apply updates and convert to RDD.
 */
private HoodieData<HoodieRecord<T>> readRecordsForGroupWithLogs(JavaSparkContext jsc, List<ClusteringOperation> clusteringOps, String instantTime) {
    HoodieWriteConfig config = getWriteConfig();
    HoodieTable table = getHoodieTable();
    return HoodieJavaRDD.of(jsc.parallelize(clusteringOps, clusteringOps.size()).mapPartitions(clusteringOpsPartition -> {
        List<Iterator<HoodieRecord<T>>> recordIterators = new ArrayList<>();
        clusteringOpsPartition.forEachRemaining(clusteringOp -> {
            long maxMemoryPerCompaction = IOUtils.getMaxMemoryPerCompaction(new SparkTaskContextSupplier(), config);
            LOG.info("MaxMemoryPerCompaction run as part of clustering => " + maxMemoryPerCompaction);
            try {
                Schema readerSchema = HoodieAvroUtils.addMetadataFields(new Schema.Parser().parse(config.getSchema()));
                HoodieMergedLogRecordScanner scanner = HoodieMergedLogRecordScanner.newBuilder().withFileSystem(table.getMetaClient().getFs()).withBasePath(table.getMetaClient().getBasePath()).withLogFilePaths(clusteringOp.getDeltaFilePaths()).withReaderSchema(readerSchema).withLatestInstantTime(instantTime).withMaxMemorySizeInBytes(maxMemoryPerCompaction).withReadBlocksLazily(config.getCompactionLazyBlockReadEnabled()).withReverseReader(config.getCompactionReverseLogReadEnabled()).withBufferSize(config.getMaxDFSStreamBufferSize()).withSpillableMapBasePath(config.getSpillableMapBasePath()).withPartition(clusteringOp.getPartitionPath()).build();
                Option<HoodieFileReader> baseFileReader = StringUtils.isNullOrEmpty(clusteringOp.getDataFilePath()) ? Option.empty() : Option.of(HoodieFileReaderFactory.getFileReader(table.getHadoopConf(), new Path(clusteringOp.getDataFilePath())));
                HoodieTableConfig tableConfig = table.getMetaClient().getTableConfig();
                recordIterators.add(getFileSliceReader(baseFileReader, scanner, readerSchema, tableConfig.getPayloadClass(), tableConfig.getPreCombineField(), tableConfig.populateMetaFields() ? Option.empty() : Option.of(Pair.of(tableConfig.getRecordKeyFieldProp(), tableConfig.getPartitionFieldProp()))));
            } catch (IOException e) {
                throw new HoodieClusteringException("Error reading input data for " + clusteringOp.getDataFilePath() + " and " + clusteringOp.getDeltaFilePaths(), e);
            }
        });
        return new ConcatenatingIterator<>(recordIterators);
    }));
}

Example 3 with HoodieMergedLogRecordScanner

use of org.apache.hudi.common.table.log.HoodieMergedLogRecordScanner in project hudi by apache.

the class DFSHoodieDatasetInputReader method readColumnarOrLogFiles.

private Iterator<IndexedRecord> readColumnarOrLogFiles(FileSlice fileSlice) throws IOException {
    if (fileSlice.getBaseFile().isPresent()) {
        // Read the base files using the latest writer schema.
        Schema schema = HoodieAvroUtils.addMetadataFields(new Schema.Parser().parse(schemaStr));
        HoodieFileReader reader = HoodieFileReaderFactory.getFileReader(metaClient.getHadoopConf(), new Path(fileSlice.getBaseFile().get().getPath()));
        return reader.getRecordIterator(schema);
    } else {
        // If there is no data file, fall back to reading log files
        HoodieMergedLogRecordScanner scanner = HoodieMergedLogRecordScanner.newBuilder().withFileSystem(metaClient.getFs()).withBasePath(metaClient.getBasePath()).withLogFilePaths(fileSlice.getLogFiles().map(l -> l.getPath().getName()).collect(Collectors.toList())).withReaderSchema(new Schema.Parser().parse(schemaStr)).withLatestInstantTime(metaClient.getActiveTimeline().getCommitsTimeline().filterCompletedInstants().lastInstant().get().getTimestamp()).withMaxMemorySizeInBytes(HoodieMemoryConfig.DEFAULT_MAX_MEMORY_FOR_SPILLABLE_MAP_IN_BYTES).withReadBlocksLazily(true).withReverseReader(false).withBufferSize(HoodieMemoryConfig.MAX_DFS_STREAM_BUFFER_SIZE.defaultValue()).withSpillableMapBasePath(HoodieMemoryConfig.SPILLABLE_MAP_BASE_PATH.defaultValue()).withDiskMapType(HoodieCommonConfig.SPILLABLE_DISK_MAP_TYPE.defaultValue()).withBitCaskDiskMapCompressionEnabled(HoodieCommonConfig.DISK_MAP_BITCASK_COMPRESSION_ENABLED.defaultValue()).build();
        // readAvro log files
        Iterable<HoodieRecord<? extends HoodieRecordPayload>> iterable = () -> scanner.iterator();
        Schema schema = new Schema.Parser().parse(schemaStr);
        return StreamSupport.stream(iterable.spliterator(), false).map(e -> {
            try {
                return (IndexedRecord) e.getData().getInsertValue(schema).get();
            } catch (IOException io) {
                throw new UncheckedIOException(io);
            }
        }).iterator();
    }
}

Example 4 with HoodieMergedLogRecordScanner

use of org.apache.hudi.common.table.log.HoodieMergedLogRecordScanner in project hudi by apache.

the class TestHoodieLogFormat method testAvroLogRecordReaderBasic.

@ParameterizedTest
@MethodSource("testArguments")
public void testAvroLogRecordReaderBasic(ExternalSpillableMap.DiskMapType diskMapType, boolean isCompressionEnabled, boolean readBlocksLazily) throws IOException, URISyntaxException, InterruptedException {
    Schema schema = HoodieAvroUtils.addMetadataFields(getSimpleSchema());
    // Set a small threshold so that every block is a new version
    Writer writer = HoodieLogFormat.newWriterBuilder().onParentPath(partitionPath).withFileExtension(HoodieLogFile.DELTA_EXTENSION).withFileId("test-fileid1").overBaseCommit("100").withFs(fs).withSizeThreshold(500).build();
    // Write 1
    List<IndexedRecord> records1 = SchemaTestUtil.generateHoodieTestRecords(0, 100);
    List<IndexedRecord> copyOfRecords1 = records1.stream().map(record -> HoodieAvroUtils.rewriteRecord((GenericRecord) record, schema)).collect(Collectors.toList());
    Map<HoodieLogBlock.HeaderMetadataType, String> header = new HashMap<>();
    header.put(HoodieLogBlock.HeaderMetadataType.INSTANT_TIME, "100");
    header.put(HoodieLogBlock.HeaderMetadataType.SCHEMA, schema.toString());
    HoodieDataBlock dataBlock = getDataBlock(DEFAULT_DATA_BLOCK_TYPE, records1, header);
    writer.appendBlock(dataBlock);
    // Write 2
    List<IndexedRecord> records2 = SchemaTestUtil.generateHoodieTestRecords(0, 100);
    List<IndexedRecord> copyOfRecords2 = records2.stream().map(record -> HoodieAvroUtils.rewriteRecord((GenericRecord) record, schema)).collect(Collectors.toList());
    header.put(HoodieLogBlock.HeaderMetadataType.SCHEMA, schema.toString());
    dataBlock = getDataBlock(DEFAULT_DATA_BLOCK_TYPE, records2, header);
    writer.appendBlock(dataBlock);
    writer.close();
    List<String> allLogFiles = FSUtils.getAllLogFiles(fs, partitionPath, "test-fileid1", HoodieLogFile.DELTA_EXTENSION, "100").map(s -> s.getPath().toString()).collect(Collectors.toList());
    FileCreateUtils.createDeltaCommit(basePath, "100", fs);
    HoodieMergedLogRecordScanner scanner = HoodieMergedLogRecordScanner.newBuilder().withFileSystem(fs).withBasePath(basePath).withLogFilePaths(allLogFiles).withReaderSchema(schema).withLatestInstantTime("100").withMaxMemorySizeInBytes(10240L).withReadBlocksLazily(readBlocksLazily).withReverseReader(false).withBufferSize(bufferSize).withSpillableMapBasePath(BASE_OUTPUT_PATH).withDiskMapType(diskMapType).withBitCaskDiskMapCompressionEnabled(isCompressionEnabled).build();
    assertEquals(200, scanner.getTotalLogRecords());
    Set<String> readKeys = new HashSet<>(200);
    scanner.forEach(s -> readKeys.add(s.getKey().getRecordKey()));
    assertEquals(200, readKeys.size(), "Stream collect should return all 200 records");
    copyOfRecords1.addAll(copyOfRecords2);
    Set<String> originalKeys = copyOfRecords1.stream().map(s -> ((GenericRecord) s).get(HoodieRecord.RECORD_KEY_METADATA_FIELD).toString()).collect(Collectors.toSet());
    assertEquals(originalKeys, readKeys, "CompositeAvroLogReader should return 200 records from 2 versions");
}

Example 5 with HoodieMergedLogRecordScanner

use of org.apache.hudi.common.table.log.HoodieMergedLogRecordScanner in project hudi by apache.

the class TestHoodieLogFormat method testAvroLogRecordReaderWithInsertDeleteAndRollback.

@ParameterizedTest
@MethodSource("testArguments")
public void testAvroLogRecordReaderWithInsertDeleteAndRollback(ExternalSpillableMap.DiskMapType diskMapType, boolean isCompressionEnabled, boolean readBlocksLazily) throws IOException, URISyntaxException, InterruptedException {
    // Write a Data block and Delete block with same InstantTime (written in same batch)
    Schema schema = HoodieAvroUtils.addMetadataFields(getSimpleSchema());
    // Set a small threshold so that every block is a new version
    Writer writer = HoodieLogFormat.newWriterBuilder().onParentPath(partitionPath).withFileExtension(HoodieLogFile.DELTA_EXTENSION).withFileId("test-fileid1").overBaseCommit("100").withFs(fs).build();
    // Write 1
    List<IndexedRecord> records1 = SchemaTestUtil.generateHoodieTestRecords(0, 100);
    List<IndexedRecord> copyOfRecords1 = records1.stream().map(record -> HoodieAvroUtils.rewriteRecord((GenericRecord) record, schema)).collect(Collectors.toList());
    Map<HoodieLogBlock.HeaderMetadataType, String> header = new HashMap<>();
    header.put(HoodieLogBlock.HeaderMetadataType.INSTANT_TIME, "100");
    header.put(HoodieLogBlock.HeaderMetadataType.TARGET_INSTANT_TIME, "100");
    header.put(HoodieLogBlock.HeaderMetadataType.SCHEMA, schema.toString());
    HoodieDataBlock dataBlock = getDataBlock(DEFAULT_DATA_BLOCK_TYPE, records1, header);
    writer.appendBlock(dataBlock);
    // Delete 50 keys
    List<HoodieKey> deletedKeys = copyOfRecords1.stream().map(s -> (new HoodieKey(((GenericRecord) s).get(HoodieRecord.RECORD_KEY_METADATA_FIELD).toString(), ((GenericRecord) s).get(HoodieRecord.PARTITION_PATH_METADATA_FIELD).toString()))).collect(Collectors.toList()).subList(0, 50);
    HoodieDeleteBlock deleteBlock = new HoodieDeleteBlock(deletedKeys.toArray(new HoodieKey[50]), header);
    writer.appendBlock(deleteBlock);
    FileCreateUtils.createDeltaCommit(basePath, "100", fs);
    // Write 2 rollback blocks (1 data block + 1 delete bloc) for a failed write
    header.put(HoodieLogBlock.HeaderMetadataType.COMMAND_BLOCK_TYPE, String.valueOf(HoodieCommandBlock.HoodieCommandBlockTypeEnum.ROLLBACK_PREVIOUS_BLOCK.ordinal()));
    HoodieCommandBlock commandBlock = new HoodieCommandBlock(header);
    writer.appendBlock(commandBlock);
    writer.appendBlock(commandBlock);
    List<String> allLogFiles = FSUtils.getAllLogFiles(fs, partitionPath, "test-fileid1", HoodieLogFile.DELTA_EXTENSION, "100").map(s -> s.getPath().toString()).collect(Collectors.toList());
    HoodieMergedLogRecordScanner scanner = HoodieMergedLogRecordScanner.newBuilder().withFileSystem(fs).withBasePath(basePath).withLogFilePaths(allLogFiles).withReaderSchema(schema).withLatestInstantTime("100").withMaxMemorySizeInBytes(10240L).withReadBlocksLazily(readBlocksLazily).withReverseReader(false).withBufferSize(bufferSize).withSpillableMapBasePath(BASE_OUTPUT_PATH).withDiskMapType(diskMapType).withBitCaskDiskMapCompressionEnabled(isCompressionEnabled).build();
    assertEquals(0, scanner.getTotalLogRecords(), "We would read 0 records");
    FileCreateUtils.deleteDeltaCommit(basePath, "100", fs);
}