Examples with HoodieAvroRecord org.apache.hudi.common.model.HoodieAvroRecord used on opensource projects

Example 26 with HoodieAvroRecord

use of org.apache.hudi.common.model.HoodieAvroRecord in project hudi by apache.

the class TestHoodieBloomIndex method testLoadInvolvedFiles.

@ParameterizedTest(name = TEST_NAME_WITH_PARAMS)
@MethodSource("configParams")
public void testLoadInvolvedFiles(boolean rangePruning, boolean treeFiltering, boolean bucketizedChecking) throws Exception {
    HoodieWriteConfig config = makeConfig(rangePruning, treeFiltering, bucketizedChecking);
    HoodieBloomIndex index = new HoodieBloomIndex(config, SparkHoodieBloomIndexHelper.getInstance());
    HoodieTable hoodieTable = HoodieSparkTable.create(config, context, metaClient);
    HoodieSparkWriteableTestTable testTable = HoodieSparkWriteableTestTable.of(metaClient, SCHEMA, metadataWriter);
    // Create some partitions, and put some files
    // "2016/01/21": 0 file
    // "2016/04/01": 1 file (2_0_20160401010101.parquet)
    // "2015/03/12": 3 files (1_0_20150312101010.parquet, 3_0_20150312101010.parquet, 4_0_20150312101010.parquet)
    testTable.withPartitionMetaFiles("2016/01/21", "2016/04/01", "2015/03/12");
    RawTripTestPayload rowChange1 = new RawTripTestPayload("{\"_row_key\":\"000\",\"time\":\"2016-01-31T03:16:41.415Z\",\"number\":12}");
    HoodieRecord record1 = new HoodieAvroRecord(new HoodieKey(rowChange1.getRowKey(), rowChange1.getPartitionPath()), rowChange1);
    RawTripTestPayload rowChange2 = new RawTripTestPayload("{\"_row_key\":\"001\",\"time\":\"2016-01-31T03:16:41.415Z\",\"number\":12}");
    HoodieRecord record2 = new HoodieAvroRecord(new HoodieKey(rowChange2.getRowKey(), rowChange2.getPartitionPath()), rowChange2);
    RawTripTestPayload rowChange3 = new RawTripTestPayload("{\"_row_key\":\"002\",\"time\":\"2016-01-31T03:16:41.415Z\",\"number\":12}");
    HoodieRecord record3 = new HoodieAvroRecord(new HoodieKey(rowChange3.getRowKey(), rowChange3.getPartitionPath()), rowChange3);
    RawTripTestPayload rowChange4 = new RawTripTestPayload("{\"_row_key\":\"003\",\"time\":\"2016-01-31T03:16:41.415Z\",\"number\":12}");
    HoodieRecord record4 = new HoodieAvroRecord(new HoodieKey(rowChange4.getRowKey(), rowChange4.getPartitionPath()), rowChange4);
    List<String> partitions = Arrays.asList("2016/01/21", "2016/04/01", "2015/03/12");
    List<Pair<String, BloomIndexFileInfo>> filesList = index.loadColumnRangesFromFiles(partitions, context, hoodieTable);
    // Still 0, as no valid commit
    assertEquals(0, filesList.size());
    final String fileId1 = "1";
    final String fileId2 = "2";
    final String fileId3 = "3";
    final String fileId4 = "4";
    final Map<String, List<Pair<String, Integer>>> partitionToFilesNameLengthMap = new HashMap<>();
    String commitTime = "20160401010101";
    Path baseFilePath = testTable.forCommit(commitTime).withInserts(partitions.get(1), fileId2, Collections.emptyList());
    long baseFileLength = fs.getFileStatus(baseFilePath).getLen();
    partitionToFilesNameLengthMap.computeIfAbsent(partitions.get(1), k -> new ArrayList<>()).add(Pair.of(fileId2, Integer.valueOf((int) baseFileLength)));
    testTable.doWriteOperation(commitTime, WriteOperationType.UPSERT, Arrays.asList(partitions.get(1)), partitionToFilesNameLengthMap, false, false);
    commitTime = "20150312101010";
    partitionToFilesNameLengthMap.clear();
    testTable.forCommit(commitTime);
    baseFilePath = testTable.withInserts(partitions.get(2), fileId1, Collections.emptyList());
    baseFileLength = fs.getFileStatus(baseFilePath).getLen();
    partitionToFilesNameLengthMap.computeIfAbsent(partitions.get(2), k -> new ArrayList<>()).add(Pair.of(fileId1, Integer.valueOf((int) baseFileLength)));
    baseFilePath = testTable.withInserts(partitions.get(2), fileId3, Collections.singletonList(record1));
    baseFileLength = fs.getFileStatus(baseFilePath).getLen();
    partitionToFilesNameLengthMap.computeIfAbsent(partitions.get(2), k -> new ArrayList<>()).add(Pair.of(fileId3, Integer.valueOf((int) baseFileLength)));
    baseFilePath = testTable.withInserts(partitions.get(2), fileId4, Arrays.asList(record2, record3, record4));
    baseFileLength = fs.getFileStatus(baseFilePath).getLen();
    partitionToFilesNameLengthMap.computeIfAbsent(partitions.get(2), k -> new ArrayList<>()).add(Pair.of(fileId4, Integer.valueOf((int) baseFileLength)));
    testTable.doWriteOperation(commitTime, WriteOperationType.UPSERT, Arrays.asList(partitions.get(2)), partitionToFilesNameLengthMap, false, false);
    filesList = index.loadColumnRangesFromFiles(partitions, context, hoodieTable);
    assertEquals(4, filesList.size());
    if (rangePruning) {
        // these files will not have the key ranges
        assertNull(filesList.get(0).getRight().getMaxRecordKey());
        assertNull(filesList.get(0).getRight().getMinRecordKey());
        assertFalse(filesList.get(1).getRight().hasKeyRanges());
        assertNotNull(filesList.get(2).getRight().getMaxRecordKey());
        assertNotNull(filesList.get(2).getRight().getMinRecordKey());
        assertTrue(filesList.get(3).getRight().hasKeyRanges());
        // no longer sorted, but should have same files.
        List<ImmutablePair<String, BloomIndexFileInfo>> expected = Arrays.asList(new ImmutablePair<>("2016/04/01", new BloomIndexFileInfo("2")), new ImmutablePair<>("2015/03/12", new BloomIndexFileInfo("1")), new ImmutablePair<>("2015/03/12", new BloomIndexFileInfo("3", "000", "000")), new ImmutablePair<>("2015/03/12", new BloomIndexFileInfo("4", "001", "003")));
        assertEquals(expected, filesList);
    }
}

Example 27 with HoodieAvroRecord

use of org.apache.hudi.common.model.HoodieAvroRecord in project hudi by apache.

the class TestHoodieBloomIndex method testBloomFilterFalseError.

@ParameterizedTest(name = TEST_NAME_WITH_PARAMS)
@MethodSource("configParams")
public void testBloomFilterFalseError(boolean rangePruning, boolean treeFiltering, boolean bucketizedChecking) throws Exception {
    // We have two hoodie records
    String recordStr1 = "{\"_row_key\":\"1eb5b87a-1feh-4edd-87b4-6ec96dc405a0\"," + "\"time\":\"2016-01-31T03:16:41.415Z\",\"number\":12}";
    String recordStr2 = "{\"_row_key\":\"2eb5b87b-1feu-4edd-87b4-6ec96dc405a0\"," + "\"time\":\"2016-01-31T03:20:41.415Z\",\"number\":100}";
    // We write record1 to a parquet file, using a bloom filter having both records
    RawTripTestPayload rowChange1 = new RawTripTestPayload(recordStr1);
    HoodieRecord record1 = new HoodieAvroRecord(new HoodieKey(rowChange1.getRowKey(), rowChange1.getPartitionPath()), rowChange1);
    RawTripTestPayload rowChange2 = new RawTripTestPayload(recordStr2);
    HoodieRecord record2 = new HoodieAvroRecord(new HoodieKey(rowChange2.getRowKey(), rowChange2.getPartitionPath()), rowChange2);
    BloomFilter filter = BloomFilterFactory.createBloomFilter(10000, 0.0000001, -1, BloomFilterTypeCode.SIMPLE.name());
    filter.add(record2.getRecordKey());
    HoodieSparkWriteableTestTable testTable = HoodieSparkWriteableTestTable.of(metaClient, SCHEMA, filter);
    String fileId = testTable.addCommit("000").getFileIdWithInserts("2016/01/31", record1);
    assertTrue(filter.mightContain(record1.getRecordKey()));
    assertTrue(filter.mightContain(record2.getRecordKey()));
    // We do the tag
    JavaRDD<HoodieRecord> recordRDD = jsc.parallelize(Arrays.asList(record1, record2));
    HoodieWriteConfig config = makeConfig(rangePruning, treeFiltering, bucketizedChecking);
    metaClient = HoodieTableMetaClient.reload(metaClient);
    HoodieTable table = HoodieSparkTable.create(config, context, metaClient);
    HoodieBloomIndex bloomIndex = new HoodieBloomIndex(config, SparkHoodieBloomIndexHelper.getInstance());
    JavaRDD<HoodieRecord> taggedRecordRDD = tagLocation(bloomIndex, recordRDD, table);
    // Check results
    for (HoodieRecord record : taggedRecordRDD.collect()) {
        if (record.getKey().equals("1eb5b87a-1feh-4edd-87b4-6ec96dc405a0")) {
            assertEquals(record.getCurrentLocation().getFileId(), fileId);
        } else if (record.getRecordKey().equals("2eb5b87b-1feu-4edd-87b4-6ec96dc405a0")) {
            assertFalse(record.isCurrentLocationKnown());
        }
    }
}

Example 28 with HoodieAvroRecord

use of org.apache.hudi.common.model.HoodieAvroRecord in project hudi by apache.

the class TestHoodieBloomIndex method testTagLocation.

@ParameterizedTest(name = TEST_NAME_WITH_PARAMS)
@MethodSource("configParams")
public void testTagLocation(boolean rangePruning, boolean treeFiltering, boolean bucketizedChecking) throws Exception {
    // We have some records to be tagged (two different partitions)
    String rowKey1 = UUID.randomUUID().toString();
    String rowKey2 = UUID.randomUUID().toString();
    String rowKey3 = UUID.randomUUID().toString();
    String recordStr1 = "{\"_row_key\":\"" + rowKey1 + "\",\"time\":\"2016-01-31T03:16:41.415Z\",\"number\":12}";
    String recordStr2 = "{\"_row_key\":\"" + rowKey2 + "\",\"time\":\"2016-01-31T03:20:41.415Z\",\"number\":100}";
    String recordStr3 = "{\"_row_key\":\"" + rowKey3 + "\",\"time\":\"2016-01-31T03:16:41.415Z\",\"number\":15}";
    // place same row key under a different partition.
    String recordStr4 = "{\"_row_key\":\"" + rowKey1 + "\",\"time\":\"2015-01-31T03:16:41.415Z\",\"number\":32}";
    RawTripTestPayload rowChange1 = new RawTripTestPayload(recordStr1);
    HoodieRecord record1 = new HoodieAvroRecord(new HoodieKey(rowChange1.getRowKey(), rowChange1.getPartitionPath()), rowChange1);
    RawTripTestPayload rowChange2 = new RawTripTestPayload(recordStr2);
    HoodieRecord record2 = new HoodieAvroRecord(new HoodieKey(rowChange2.getRowKey(), rowChange2.getPartitionPath()), rowChange2);
    RawTripTestPayload rowChange3 = new RawTripTestPayload(recordStr3);
    HoodieRecord record3 = new HoodieAvroRecord(new HoodieKey(rowChange3.getRowKey(), rowChange3.getPartitionPath()), rowChange3);
    RawTripTestPayload rowChange4 = new RawTripTestPayload(recordStr4);
    HoodieRecord record4 = new HoodieAvroRecord(new HoodieKey(rowChange4.getRowKey(), rowChange4.getPartitionPath()), rowChange4);
    JavaRDD<HoodieRecord> recordRDD = jsc.parallelize(Arrays.asList(record1, record2, record3, record4));
    // Also create the metadata and config
    HoodieWriteConfig config = makeConfig(rangePruning, treeFiltering, bucketizedChecking);
    HoodieSparkTable hoodieTable = HoodieSparkTable.create(config, context, metaClient);
    HoodieSparkWriteableTestTable testTable = HoodieSparkWriteableTestTable.of(metaClient, SCHEMA, metadataWriter);
    // Let's tag
    HoodieBloomIndex bloomIndex = new HoodieBloomIndex(config, SparkHoodieBloomIndexHelper.getInstance());
    JavaRDD<HoodieRecord> taggedRecordRDD = tagLocation(bloomIndex, recordRDD, hoodieTable);
    // Should not find any files
    for (HoodieRecord record : taggedRecordRDD.collect()) {
        assertFalse(record.isCurrentLocationKnown());
    }
    final Map<String, List<Pair<String, Integer>>> partitionToFilesNameLengthMap = new HashMap<>();
    final String partition1 = "2016/01/31";
    final String partition2 = "2015/01/31";
    // We create three parquet file, each having one record. (two different partitions)
    final String fileId1 = UUID.randomUUID().toString();
    final String commit1 = "0000001";
    Path baseFilePath = testTable.forCommit(commit1).withInserts(partition1, fileId1, Collections.singletonList(record1));
    long baseFileLength = fs.getFileStatus(baseFilePath).getLen();
    partitionToFilesNameLengthMap.computeIfAbsent(partition1, k -> new ArrayList<>()).add(Pair.of(fileId1, Integer.valueOf((int) baseFileLength)));
    testTable.doWriteOperation(commit1, WriteOperationType.UPSERT, Collections.singletonList(partition1), partitionToFilesNameLengthMap, false, false);
    final String fileId2 = UUID.randomUUID().toString();
    final String commit2 = "0000002";
    baseFilePath = testTable.forCommit(commit2).withInserts(partition1, fileId2, Collections.singletonList(record2));
    baseFileLength = fs.getFileStatus(baseFilePath).getLen();
    partitionToFilesNameLengthMap.clear();
    partitionToFilesNameLengthMap.computeIfAbsent(partition1, k -> new ArrayList<>()).add(Pair.of(fileId2, Integer.valueOf((int) baseFileLength)));
    testTable.doWriteOperation(commit2, WriteOperationType.UPSERT, Collections.singletonList(partition1), partitionToFilesNameLengthMap, false, false);
    final String fileId3 = UUID.randomUUID().toString();
    final String commit3 = "0000003";
    baseFilePath = testTable.forCommit(commit3).withInserts(partition2, fileId3, Collections.singletonList(record4));
    baseFileLength = fs.getFileStatus(baseFilePath).getLen();
    partitionToFilesNameLengthMap.clear();
    partitionToFilesNameLengthMap.computeIfAbsent(partition2, k -> new ArrayList<>()).add(Pair.of(fileId3, Integer.valueOf((int) baseFileLength)));
    testTable.doWriteOperation(commit3, WriteOperationType.UPSERT, Collections.singletonList(partition2), partitionToFilesNameLengthMap, false, false);
    // We do the tag again
    taggedRecordRDD = tagLocation(bloomIndex, recordRDD, HoodieSparkTable.create(config, context, metaClient));
    // Check results
    for (HoodieRecord record : taggedRecordRDD.collect()) {
        if (record.getRecordKey().equals(rowKey1)) {
            if (record.getPartitionPath().equals(partition2)) {
                assertEquals(record.getCurrentLocation().getFileId(), fileId3);
            } else {
                assertEquals(record.getCurrentLocation().getFileId(), fileId1);
            }
        } else if (record.getRecordKey().equals(rowKey2)) {
            assertEquals(record.getCurrentLocation().getFileId(), fileId2);
        } else if (record.getRecordKey().equals(rowKey3)) {
            assertFalse(record.isCurrentLocationKnown());
        }
    }
}

Example 29 with HoodieAvroRecord

use of org.apache.hudi.common.model.HoodieAvroRecord in project hudi by apache.

the class OrcBootstrapMetadataHandler method executeBootstrap.

@Override
void executeBootstrap(HoodieBootstrapHandle<?, ?, ?, ?> bootstrapHandle, Path sourceFilePath, KeyGeneratorInterface keyGenerator, String partitionPath, Schema avroSchema) throws Exception {
    BoundedInMemoryExecutor<GenericRecord, HoodieRecord, Void> wrapper = null;
    Reader orcReader = OrcFile.createReader(sourceFilePath, OrcFile.readerOptions(table.getHadoopConf()));
    TypeDescription orcSchema = orcReader.getSchema();
    try (RecordReader reader = orcReader.rows(new Reader.Options(table.getHadoopConf()).schema(orcSchema))) {
        wrapper = new BoundedInMemoryExecutor<GenericRecord, HoodieRecord, Void>(config.getWriteBufferLimitBytes(), new OrcReaderIterator(reader, avroSchema, orcSchema), new BootstrapRecordConsumer(bootstrapHandle), inp -> {
            String recKey = keyGenerator.getKey(inp).getRecordKey();
            GenericRecord gr = new GenericData.Record(HoodieAvroUtils.RECORD_KEY_SCHEMA);
            gr.put(HoodieRecord.RECORD_KEY_METADATA_FIELD, recKey);
            BootstrapRecordPayload payload = new BootstrapRecordPayload(gr);
            HoodieRecord rec = new HoodieAvroRecord(new HoodieKey(recKey, partitionPath), payload);
            return rec;
        }, table.getPreExecuteRunnable());
        wrapper.execute();
    } catch (Exception e) {
        throw new HoodieException(e);
    } finally {
        bootstrapHandle.close();
        if (null != wrapper) {
            wrapper.shutdownNow();
        }
    }
}

Example 30 with HoodieAvroRecord

use of org.apache.hudi.common.model.HoodieAvroRecord in project hudi by apache.

the class ParquetBootstrapMetadataHandler method executeBootstrap.

@Override
void executeBootstrap(HoodieBootstrapHandle<?, ?, ?, ?> bootstrapHandle, Path sourceFilePath, KeyGeneratorInterface keyGenerator, String partitionPath, Schema avroSchema) throws Exception {
    BoundedInMemoryExecutor<GenericRecord, HoodieRecord, Void> wrapper = null;
    try {
        ParquetReader<IndexedRecord> reader = AvroParquetReader.<IndexedRecord>builder(sourceFilePath).withConf(table.getHadoopConf()).build();
        wrapper = new BoundedInMemoryExecutor<GenericRecord, HoodieRecord, Void>(config.getWriteBufferLimitBytes(), new ParquetReaderIterator(reader), new BootstrapRecordConsumer(bootstrapHandle), inp -> {
            String recKey = keyGenerator.getKey(inp).getRecordKey();
            GenericRecord gr = new GenericData.Record(HoodieAvroUtils.RECORD_KEY_SCHEMA);
            gr.put(HoodieRecord.RECORD_KEY_METADATA_FIELD, recKey);
            BootstrapRecordPayload payload = new BootstrapRecordPayload(gr);
            HoodieRecord rec = new HoodieAvroRecord(new HoodieKey(recKey, partitionPath), payload);
            return rec;
        }, table.getPreExecuteRunnable());
        wrapper.execute();
    } catch (Exception e) {
        throw new HoodieException(e);
    } finally {
        bootstrapHandle.close();
        if (null != wrapper) {
            wrapper.shutdownNow();
        }
    }
}