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Example 61 with TypedProperties

use of org.apache.hudi.common.config.TypedProperties in project hudi by apache.

the class TestCsvDFSSource method prepareDFSSource.

@Override
public Source prepareDFSSource() {
    TypedProperties props = new TypedProperties();
    props.setProperty("hoodie.deltastreamer.source.dfs.root", dfsRoot);
    props.setProperty("hoodie.deltastreamer.csv.header", Boolean.toString(true));
    props.setProperty("hoodie.deltastreamer.csv.sep", "\t");
    return new CsvDFSSource(props, jsc, sparkSession, schemaProvider);
}
Also used : TypedProperties(org.apache.hudi.common.config.TypedProperties)

Example 62 with TypedProperties

use of org.apache.hudi.common.config.TypedProperties in project hudi by apache.

the class TestHoodieClientOnCopyOnWriteStorage method testUpsertsInternal.

/**
 * Test one of HoodieWriteClient upsert(Prepped) APIs.
 *
 * @param config Write Config
 * @param writeFn One of Hoodie Write Function API
 * @throws Exception in case of error
 */
private void testUpsertsInternal(HoodieWriteConfig config, Function3<JavaRDD<WriteStatus>, SparkRDDWriteClient, JavaRDD<HoodieRecord>, String> writeFn, boolean isPrepped) throws Exception {
    // Force using older timeline layout
    HoodieWriteConfig hoodieWriteConfig = getConfigBuilder(HoodieFailedWritesCleaningPolicy.LAZY).withRollbackUsingMarkers(true).withProps(config.getProps()).withTimelineLayoutVersion(VERSION_0).build();
    HoodieTableMetaClient.withPropertyBuilder().fromMetaClient(metaClient).setTimelineLayoutVersion(VERSION_0).setPopulateMetaFields(config.populateMetaFields()).initTable(metaClient.getHadoopConf(), metaClient.getBasePath());
    SparkRDDWriteClient client = getHoodieWriteClient(hoodieWriteConfig);
    // Write 1 (only inserts)
    String newCommitTime = "001";
    String initCommitTime = "000";
    int numRecords = 200;
    insertFirstBatch(hoodieWriteConfig, client, newCommitTime, initCommitTime, numRecords, SparkRDDWriteClient::insert, isPrepped, true, numRecords, config.populateMetaFields());
    // Write 2 (updates)
    String prevCommitTime = newCommitTime;
    newCommitTime = "004";
    numRecords = 100;
    String commitTimeBetweenPrevAndNew = "002";
    updateBatch(hoodieWriteConfig, client, newCommitTime, prevCommitTime, Option.of(Arrays.asList(commitTimeBetweenPrevAndNew)), initCommitTime, numRecords, writeFn, isPrepped, true, numRecords, 200, 2, config.populateMetaFields());
    // Delete 1
    prevCommitTime = newCommitTime;
    newCommitTime = "005";
    numRecords = 50;
    deleteBatch(hoodieWriteConfig, client, newCommitTime, prevCommitTime, initCommitTime, numRecords, SparkRDDWriteClient::delete, isPrepped, true, 0, 150, config.populateMetaFields());
    // Now simulate an upgrade and perform a restore operation
    HoodieWriteConfig newConfig = getConfigBuilder().withProps(config.getProps()).withTimelineLayoutVersion(TimelineLayoutVersion.CURR_VERSION).build();
    client = getHoodieWriteClient(newConfig);
    client.savepoint("004", "user1", "comment1");
    client.restoreToInstant("004");
    assertFalse(metaClient.reloadActiveTimeline().getRollbackTimeline().lastInstant().isPresent());
    // Check the entire dataset has all records still
    String[] fullPartitionPaths = new String[dataGen.getPartitionPaths().length];
    for (int i = 0; i < fullPartitionPaths.length; i++) {
        fullPartitionPaths[i] = String.format("%s/%s/*", basePath, dataGen.getPartitionPaths()[i]);
    }
    assertEquals(200, HoodieClientTestUtils.read(jsc, basePath, sqlContext, fs, fullPartitionPaths).count(), "Must contain " + 200 + " records");
    // Perform Delete again on upgraded dataset.
    prevCommitTime = newCommitTime;
    newCommitTime = "006";
    numRecords = 50;
    deleteBatch(newConfig, client, newCommitTime, prevCommitTime, initCommitTime, numRecords, SparkRDDWriteClient::delete, isPrepped, true, 0, 150);
    HoodieActiveTimeline activeTimeline = new HoodieActiveTimeline(metaClient, false);
    List<HoodieInstant> instants = activeTimeline.getCommitTimeline().getInstants().collect(Collectors.toList());
    assertEquals(5, instants.size());
    assertEquals(new HoodieInstant(COMPLETED, COMMIT_ACTION, "001"), instants.get(0));
    assertEquals(new HoodieInstant(COMPLETED, COMMIT_ACTION, "004"), instants.get(1));
    // New Format should have all states of instants
    assertEquals(new HoodieInstant(REQUESTED, COMMIT_ACTION, "006"), instants.get(2));
    assertEquals(new HoodieInstant(INFLIGHT, COMMIT_ACTION, "006"), instants.get(3));
    assertEquals(new HoodieInstant(COMPLETED, COMMIT_ACTION, "006"), instants.get(4));
    final HoodieWriteConfig cfg = hoodieWriteConfig;
    final String instantTime = "007";
    HoodieTableMetaClient metaClient = HoodieTableMetaClient.builder().setConf(jsc.hadoopConfiguration()).setBasePath(basePath).build();
    String basePathStr = basePath;
    HoodieTable table = getHoodieTable(metaClient, cfg);
    String extension = metaClient.getTableConfig().getBaseFileFormat().getFileExtension();
    jsc.parallelize(Arrays.asList(1)).map(e -> {
        HoodieCommitMetadata commitMetadata = HoodieCommitMetadata.fromBytes(metaClient.getActiveTimeline().getInstantDetails(metaClient.getCommitsTimeline().filterCompletedInstants().lastInstant().get()).get(), HoodieCommitMetadata.class);
        String filePath = commitMetadata.getPartitionToWriteStats().values().stream().flatMap(w -> w.stream()).filter(s -> s.getPath().endsWith(extension)).findAny().map(ee -> ee.getPath()).orElse(null);
        String partitionPath = commitMetadata.getPartitionToWriteStats().values().stream().flatMap(w -> w.stream()).filter(s -> s.getPath().endsWith(extension)).findAny().map(ee -> ee.getPartitionPath()).orElse(null);
        Path baseFilePath = new Path(basePathStr, filePath);
        HoodieBaseFile baseFile = new HoodieBaseFile(baseFilePath.toString());
        try {
            HoodieMergeHandle handle = new HoodieMergeHandle(cfg, instantTime, table, new HashMap<>(), partitionPath, FSUtils.getFileId(baseFilePath.getName()), baseFile, new SparkTaskContextSupplier(), config.populateMetaFields() ? Option.empty() : Option.of((BaseKeyGenerator) HoodieSparkKeyGeneratorFactory.createKeyGenerator(new TypedProperties(config.getProps()))));
            WriteStatus writeStatus = new WriteStatus(false, 0.0);
            writeStatus.setStat(new HoodieWriteStat());
            writeStatus.getStat().setNumWrites(0);
            handle.performMergeDataValidationCheck(writeStatus);
        } catch (HoodieCorruptedDataException e1) {
            fail("Exception not expected because merge validation check is disabled");
        }
        try {
            final String newInstantTime = "006";
            cfg.getProps().setProperty("hoodie.merge.data.validation.enabled", "true");
            HoodieWriteConfig cfg2 = HoodieWriteConfig.newBuilder().withProps(cfg.getProps()).build();
            HoodieMergeHandle handle = new HoodieMergeHandle(cfg2, newInstantTime, table, new HashMap<>(), partitionPath, FSUtils.getFileId(baseFilePath.getName()), baseFile, new SparkTaskContextSupplier(), config.populateMetaFields() ? Option.empty() : Option.of((BaseKeyGenerator) HoodieSparkKeyGeneratorFactory.createKeyGenerator(new TypedProperties(config.getProps()))));
            WriteStatus writeStatus = new WriteStatus(false, 0.0);
            writeStatus.setStat(new HoodieWriteStat());
            writeStatus.getStat().setNumWrites(0);
            handle.performMergeDataValidationCheck(writeStatus);
            fail("The above line should have thrown an exception");
        } catch (HoodieCorruptedDataException e2) {
        // expected
        }
        return true;
    }).collect();
}
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Example 63 with TypedProperties

use of org.apache.hudi.common.config.TypedProperties in project hudi by apache.

the class TestHoodieClientOnCopyOnWriteStorage method verifyRecordsWritten.

/**
 * Verify data in base files matches expected records and commit time.
 */
private void verifyRecordsWritten(String commitTime, boolean populateMetadataField, List<HoodieRecord> expectedRecords, List<WriteStatus> allStatus, HoodieWriteConfig config) throws IOException {
    List<GenericRecord> records = new ArrayList<>();
    Set<String> expectedKeys = verifyRecordKeys(expectedRecords, allStatus, records);
    if (config.populateMetaFields()) {
        for (GenericRecord record : records) {
            String recordKey = record.get(HoodieRecord.RECORD_KEY_METADATA_FIELD).toString();
            assertEquals(commitTime, record.get(HoodieRecord.COMMIT_TIME_METADATA_FIELD).toString());
            assertTrue(expectedKeys.contains(recordKey));
        }
    } else {
        KeyGenerator keyGenerator = HoodieSparkKeyGeneratorFactory.createKeyGenerator(new TypedProperties(config.getProps()));
        for (GenericRecord record : records) {
            String recordKey = keyGenerator.getKey(record).getRecordKey();
            if (!populateMetadataField) {
                assertNull(record.get(HoodieRecord.COMMIT_TIME_METADATA_FIELD));
            }
            assertTrue(expectedKeys.contains(recordKey));
        }
    }
}
Also used : ArrayList(java.util.ArrayList) GenericRecord(org.apache.avro.generic.GenericRecord) TypedProperties(org.apache.hudi.common.config.TypedProperties) BaseKeyGenerator(org.apache.hudi.keygen.BaseKeyGenerator) KeyGenerator(org.apache.hudi.keygen.KeyGenerator)

Example 64 with TypedProperties

use of org.apache.hudi.common.config.TypedProperties in project hudi by apache.

the class TestDataSourceUtils method testCreateHoodieConfigWithAsyncClustering.

@Test
public void testCreateHoodieConfigWithAsyncClustering() {
    ArrayList<ImmutablePair<String, Boolean>> asyncClusteringKeyValues = new ArrayList<>(4);
    asyncClusteringKeyValues.add(new ImmutablePair(DataSourceWriteOptions.ASYNC_CLUSTERING_ENABLE().key(), true));
    asyncClusteringKeyValues.add(new ImmutablePair(HoodieClusteringConfig.ASYNC_CLUSTERING_ENABLE.key(), true));
    asyncClusteringKeyValues.add(new ImmutablePair("hoodie.datasource.clustering.async.enable", true));
    asyncClusteringKeyValues.add(new ImmutablePair("hoodie.clustering.async.enabled", true));
    asyncClusteringKeyValues.stream().forEach(pair -> {
        HashMap<String, String> params = new HashMap<>(3);
        params.put(DataSourceWriteOptions.TABLE_TYPE().key(), DataSourceWriteOptions.TABLE_TYPE().defaultValue());
        params.put(DataSourceWriteOptions.PAYLOAD_CLASS_NAME().key(), DataSourceWriteOptions.PAYLOAD_CLASS_NAME().defaultValue());
        params.put(pair.left, pair.right.toString());
        HoodieWriteConfig hoodieConfig = DataSourceUtils.createHoodieConfig(avroSchemaString, config.getBasePath(), "test", params);
        assertEquals(pair.right, hoodieConfig.isAsyncClusteringEnabled());
        TypedProperties prop = new TypedProperties();
        prop.putAll(params);
        assertEquals(pair.right, HoodieClusteringConfig.from(prop).isAsyncClusteringEnabled());
    });
}
Also used : ImmutablePair(org.apache.hudi.common.util.collection.ImmutablePair) HashMap(java.util.HashMap) ArrayList(java.util.ArrayList) HoodieWriteConfig(org.apache.hudi.config.HoodieWriteConfig) CoreMatchers.containsString(org.hamcrest.CoreMatchers.containsString) ArgumentMatchers.anyString(org.mockito.ArgumentMatchers.anyString) TypedProperties(org.apache.hudi.common.config.TypedProperties) Test(org.junit.jupiter.api.Test) ParameterizedTest(org.junit.jupiter.params.ParameterizedTest)

Example 65 with TypedProperties

use of org.apache.hudi.common.config.TypedProperties in project hudi by apache.

the class TestHoodieTestSuiteJob method testSparkDataSourceNodesDagWithLock.

@Test
public void testSparkDataSourceNodesDagWithLock() throws Exception {
    boolean useDeltaStreamer = false;
    this.cleanDFSDirs();
    TypedProperties props = getProperties();
    props.setProperty("hoodie.write.concurrency.mode", "optimistic_concurrency_control");
    props.setProperty("hoodie.failed.writes.cleaner.policy", "LAZY");
    UtilitiesTestBase.Helpers.savePropsToDFS(props, dfs, dfsBasePath + "/test-source" + ".properties");
    String inputBasePath = dfsBasePath + "/input";
    String outputBasePath = dfsBasePath + "/result";
    HoodieTestSuiteConfig cfg = makeConfig(inputBasePath, outputBasePath, useDeltaStreamer, HoodieTableType.COPY_ON_WRITE.name());
    cfg.workloadYamlPath = dfsBasePath + "/" + COW_DAG_FILE_NAME_SPARK_DATASOURCE_NODES;
    HoodieTestSuiteJob hoodieTestSuiteJob = new HoodieTestSuiteJob(cfg, jsc);
    hoodieTestSuiteJob.runTestSuite();
    HoodieTableMetaClient metaClient = HoodieTableMetaClient.builder().setConf(new Configuration()).setBasePath(cfg.targetBasePath).build();
    assertEquals(metaClient.getActiveTimeline().getCommitsTimeline().getInstants().count(), 3);
}
Also used : HoodieTableMetaClient(org.apache.hudi.common.table.HoodieTableMetaClient) Configuration(org.apache.hadoop.conf.Configuration) HoodieTestSuiteJob(org.apache.hudi.integ.testsuite.HoodieTestSuiteJob) HoodieTestSuiteConfig(org.apache.hudi.integ.testsuite.HoodieTestSuiteJob.HoodieTestSuiteConfig) TypedProperties(org.apache.hudi.common.config.TypedProperties) Test(org.junit.jupiter.api.Test)

Aggregations

TypedProperties (org.apache.hudi.common.config.TypedProperties)143 Test (org.junit.jupiter.api.Test)47 HoodieTestDataGenerator (org.apache.hudi.common.testutils.HoodieTestDataGenerator)22 JavaRDD (org.apache.spark.api.java.JavaRDD)16 ParameterizedTest (org.junit.jupiter.params.ParameterizedTest)15 IOException (java.io.IOException)14 Path (org.apache.hadoop.fs.Path)14 Properties (java.util.Properties)13 GenericRecord (org.apache.avro.generic.GenericRecord)13 SourceFormatAdapter (org.apache.hudi.utilities.deltastreamer.SourceFormatAdapter)12 Row (org.apache.spark.sql.Row)12 BeforeEach (org.junit.jupiter.api.BeforeEach)11 ArrayList (java.util.ArrayList)10 HoodieTableMetaClient (org.apache.hudi.common.table.HoodieTableMetaClient)10 HoodieKey (org.apache.hudi.common.model.HoodieKey)9 DFSPropertiesConfiguration (org.apache.hudi.common.config.DFSPropertiesConfiguration)8 HoodieWriteConfig (org.apache.hudi.config.HoodieWriteConfig)8 HoodieIOException (org.apache.hudi.exception.HoodieIOException)8 Dataset (org.apache.spark.sql.Dataset)8 HoodieRecord (org.apache.hudi.common.model.HoodieRecord)7