Examples with HoodieTable org.apache.hudi.table.HoodieTable used on opensource projects

Example 41 with HoodieTable

use of org.apache.hudi.table.HoodieTable in project hudi by apache.

the class TestHoodieBulkInsertDataInternalWriter method testGlobalFailure.

/**
 * Issue some corrupted or wrong schematized InternalRow after few valid InternalRows so that global error is thrown. write batch 1 of valid records write batch2 of invalid records which is expected
 * to throw Global Error. Verify global error is set appropriately and only first batch of records are written to disk.
 */
@Test
public void testGlobalFailure() throws Exception {
    // init config and table
    HoodieWriteConfig cfg = getWriteConfig(true);
    HoodieTable table = HoodieSparkTable.create(cfg, context, metaClient);
    String partitionPath = HoodieTestDataGenerator.DEFAULT_PARTITION_PATHS[0];
    String instantTime = "001";
    HoodieBulkInsertDataInternalWriter writer = new HoodieBulkInsertDataInternalWriter(table, cfg, instantTime, RANDOM.nextInt(100000), RANDOM.nextLong(), RANDOM.nextLong(), STRUCT_TYPE, true, false);
    int size = 10 + RANDOM.nextInt(100);
    int totalFailures = 5;
    // Generate first batch of valid rows
    Dataset<Row> inputRows = getRandomRows(sqlContext, size / 2, partitionPath, false);
    List<InternalRow> internalRows = toInternalRows(inputRows, ENCODER);
    // generate some failures rows
    for (int i = 0; i < totalFailures; i++) {
        internalRows.add(getInternalRowWithError(partitionPath));
    }
    // generate 2nd batch of valid rows
    Dataset<Row> inputRows2 = getRandomRows(sqlContext, size / 2, partitionPath, false);
    internalRows.addAll(toInternalRows(inputRows2, ENCODER));
    // issue writes
    try {
        for (InternalRow internalRow : internalRows) {
            writer.write(internalRow);
        }
        fail("Should have failed");
    } catch (Throwable e) {
    // expected
    }
    BaseWriterCommitMessage commitMetadata = (BaseWriterCommitMessage) writer.commit();
    Option<List<String>> fileAbsPaths = Option.of(new ArrayList<>());
    Option<List<String>> fileNames = Option.of(new ArrayList<>());
    // verify write statuses
    assertWriteStatuses(commitMetadata.getWriteStatuses(), 1, size / 2, false, fileAbsPaths, fileNames);
    // verify rows
    Dataset<Row> result = sqlContext.read().parquet(fileAbsPaths.get().toArray(new String[0]));
    assertOutput(inputRows, result, instantTime, fileNames, true);
}

Example 42 with HoodieTable

use of org.apache.hudi.table.HoodieTable in project hudi by apache.

the class TestHoodieBulkInsertDataInternalWriter method testGlobalFailure.

/**
 * Issue some corrupted or wrong schematized InternalRow after few valid InternalRows so that global error is thrown. write batch 1 of valid records write batch2 of invalid records which is expected
 * to throw Global Error. Verify global error is set appropriately and only first batch of records are written to disk.
 */
@Test
public void testGlobalFailure() throws Exception {
    // init config and table
    HoodieWriteConfig cfg = getWriteConfig(true);
    HoodieTable table = HoodieSparkTable.create(cfg, context, metaClient);
    String partitionPath = HoodieTestDataGenerator.DEFAULT_PARTITION_PATHS[0];
    String instantTime = "001";
    HoodieBulkInsertDataInternalWriter writer = new HoodieBulkInsertDataInternalWriter(table, cfg, instantTime, RANDOM.nextInt(100000), RANDOM.nextLong(), STRUCT_TYPE, true, false);
    int size = 10 + RANDOM.nextInt(100);
    int totalFailures = 5;
    // Generate first batch of valid rows
    Dataset<Row> inputRows = getRandomRows(sqlContext, size / 2, partitionPath, false);
    List<InternalRow> internalRows = toInternalRows(inputRows, ENCODER);
    // generate some failures rows
    for (int i = 0; i < totalFailures; i++) {
        internalRows.add(getInternalRowWithError(partitionPath));
    }
    // generate 2nd batch of valid rows
    Dataset<Row> inputRows2 = getRandomRows(sqlContext, size / 2, partitionPath, false);
    internalRows.addAll(toInternalRows(inputRows2, ENCODER));
    // issue writes
    try {
        for (InternalRow internalRow : internalRows) {
            writer.write(internalRow);
        }
        fail("Should have failed");
    } catch (Throwable e) {
    // expected
    }
    HoodieWriterCommitMessage commitMetadata = (HoodieWriterCommitMessage) writer.commit();
    Option<List<String>> fileAbsPaths = Option.of(new ArrayList<>());
    Option<List<String>> fileNames = Option.of(new ArrayList<>());
    // verify write statuses
    assertWriteStatuses(commitMetadata.getWriteStatuses(), 1, size / 2, fileAbsPaths, fileNames);
    // verify rows
    Dataset<Row> result = sqlContext.read().parquet(fileAbsPaths.get().toArray(new String[0]));
    assertOutput(inputRows, result, instantTime, fileNames, true);
}

Example 43 with HoodieTable

use of org.apache.hudi.table.HoodieTable in project hudi by apache.

the class TestHoodieDataSourceInternalBatchWrite method testDataSourceWriterInternal.

private void testDataSourceWriterInternal(Map<String, String> extraMetadata, Map<String, String> expectedExtraMetadata, boolean populateMetaFields) throws Exception {
    // init config and table
    HoodieWriteConfig cfg = getWriteConfig(populateMetaFields);
    HoodieTable table = HoodieSparkTable.create(cfg, context, metaClient);
    String instantTime = "001";
    // init writer
    HoodieDataSourceInternalBatchWrite dataSourceInternalBatchWrite = new HoodieDataSourceInternalBatchWrite(instantTime, cfg, STRUCT_TYPE, sqlContext.sparkSession(), hadoopConf, extraMetadata, populateMetaFields, false);
    DataWriter<InternalRow> writer = dataSourceInternalBatchWrite.createBatchWriterFactory(null).createWriter(0, RANDOM.nextLong());
    String[] partitionPaths = HoodieTestDataGenerator.DEFAULT_PARTITION_PATHS;
    List<String> partitionPathsAbs = new ArrayList<>();
    for (String partitionPath : partitionPaths) {
        partitionPathsAbs.add(basePath + "/" + partitionPath + "/*");
    }
    int size = 10 + RANDOM.nextInt(1000);
    int batches = 5;
    Dataset<Row> totalInputRows = null;
    for (int j = 0; j < batches; j++) {
        String partitionPath = HoodieTestDataGenerator.DEFAULT_PARTITION_PATHS[j % 3];
        Dataset<Row> inputRows = getRandomRows(sqlContext, size, partitionPath, false);
        writeRows(inputRows, writer);
        if (totalInputRows == null) {
            totalInputRows = inputRows;
        } else {
            totalInputRows = totalInputRows.union(inputRows);
        }
    }
    HoodieWriterCommitMessage commitMetadata = (HoodieWriterCommitMessage) writer.commit();
    List<HoodieWriterCommitMessage> commitMessages = new ArrayList<>();
    commitMessages.add(commitMetadata);
    dataSourceInternalBatchWrite.commit(commitMessages.toArray(new HoodieWriterCommitMessage[0]));
    metaClient.reloadActiveTimeline();
    Dataset<Row> result = HoodieClientTestUtils.read(jsc, basePath, sqlContext, metaClient.getFs(), partitionPathsAbs.toArray(new String[0]));
    // verify output
    assertOutput(totalInputRows, result, instantTime, Option.empty(), populateMetaFields);
    assertWriteStatuses(commitMessages.get(0).getWriteStatuses(), batches, size, Option.empty(), Option.empty());
    // verify extra metadata
    Option<HoodieCommitMetadata> commitMetadataOption = HoodieClientTestUtils.getCommitMetadataForLatestInstant(metaClient);
    assertTrue(commitMetadataOption.isPresent());
    Map<String, String> actualExtraMetadata = new HashMap<>();
    commitMetadataOption.get().getExtraMetadata().entrySet().stream().filter(entry -> !entry.getKey().equals(HoodieCommitMetadata.SCHEMA_KEY)).forEach(entry -> actualExtraMetadata.put(entry.getKey(), entry.getValue()));
    assertEquals(actualExtraMetadata, expectedExtraMetadata);
}

Example 44 with HoodieTable

use of org.apache.hudi.table.HoodieTable in project hudi by apache.

the class TestHoodieDataSourceInternalBatchWrite method testMultipleDataSourceWrites.

@ParameterizedTest
@MethodSource("bulkInsertTypeParams")
public void testMultipleDataSourceWrites(boolean populateMetaFields) throws Exception {
    // init config and table
    HoodieWriteConfig cfg = getWriteConfig(populateMetaFields);
    HoodieTable table = HoodieSparkTable.create(cfg, context, metaClient);
    int partitionCounter = 0;
    // execute N rounds
    for (int i = 0; i < 2; i++) {
        String instantTime = "00" + i;
        // init writer
        HoodieDataSourceInternalBatchWrite dataSourceInternalBatchWrite = new HoodieDataSourceInternalBatchWrite(instantTime, cfg, STRUCT_TYPE, sqlContext.sparkSession(), hadoopConf, Collections.EMPTY_MAP, populateMetaFields, false);
        List<HoodieWriterCommitMessage> commitMessages = new ArrayList<>();
        Dataset<Row> totalInputRows = null;
        DataWriter<InternalRow> writer = dataSourceInternalBatchWrite.createBatchWriterFactory(null).createWriter(partitionCounter++, RANDOM.nextLong());
        int size = 10 + RANDOM.nextInt(1000);
        // one batch per partition
        int batches = 3;
        for (int j = 0; j < batches; j++) {
            String partitionPath = HoodieTestDataGenerator.DEFAULT_PARTITION_PATHS[j % 3];
            Dataset<Row> inputRows = getRandomRows(sqlContext, size, partitionPath, false);
            writeRows(inputRows, writer);
            if (totalInputRows == null) {
                totalInputRows = inputRows;
            } else {
                totalInputRows = totalInputRows.union(inputRows);
            }
        }
        HoodieWriterCommitMessage commitMetadata = (HoodieWriterCommitMessage) writer.commit();
        commitMessages.add(commitMetadata);
        dataSourceInternalBatchWrite.commit(commitMessages.toArray(new HoodieWriterCommitMessage[0]));
        metaClient.reloadActiveTimeline();
        Dataset<Row> result = HoodieClientTestUtils.readCommit(basePath, sqlContext, metaClient.getCommitTimeline(), instantTime, populateMetaFields);
        // verify output
        assertOutput(totalInputRows, result, instantTime, Option.empty(), populateMetaFields);
        assertWriteStatuses(commitMessages.get(0).getWriteStatuses(), batches, size, Option.empty(), Option.empty());
    }
}

Example 45 with HoodieTable

use of org.apache.hudi.table.HoodieTable in project hudi by apache.

the class HoodieBloomIndex method loadColumnRangesFromFiles.

/**
 * Load all involved files as <Partition, filename> pair List.
 */
List<Pair<String, BloomIndexFileInfo>> loadColumnRangesFromFiles(List<String> partitions, final HoodieEngineContext context, final HoodieTable hoodieTable) {
    // Obtain the latest data files from all the partitions.
    List<Pair<String, String>> partitionPathFileIDList = getLatestBaseFilesForAllPartitions(partitions, context, hoodieTable).stream().map(pair -> Pair.of(pair.getKey(), pair.getValue().getFileId())).collect(toList());
    context.setJobStatus(this.getClass().getName(), "Obtain key ranges for file slices (range pruning=on)");
    return context.map(partitionPathFileIDList, pf -> {
        try {
            HoodieRangeInfoHandle rangeInfoHandle = new HoodieRangeInfoHandle(config, hoodieTable, pf);
            String[] minMaxKeys = rangeInfoHandle.getMinMaxKeys();
            return Pair.of(pf.getKey(), new BloomIndexFileInfo(pf.getValue(), minMaxKeys[0], minMaxKeys[1]));
        } catch (MetadataNotFoundException me) {
            LOG.warn("Unable to find range metadata in file :" + pf);
            return Pair.of(pf.getKey(), new BloomIndexFileInfo(pf.getValue()));
        }
    }, Math.max(partitionPathFileIDList.size(), 1));
}