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Example 1 with COMPLETED

use of org.apache.hudi.common.table.timeline.HoodieInstant.State.COMPLETED 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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Aggregations

IOException (java.io.IOException)1 ArrayList (java.util.ArrayList)1 Arrays (java.util.Arrays)1 Collection (java.util.Collection)1 Collections (java.util.Collections)1 HashMap (java.util.HashMap)1 HashSet (java.util.HashSet)1 List (java.util.List)1 Map (java.util.Map)1 Properties (java.util.Properties)1 Set (java.util.Set)1 UUID (java.util.UUID)1 ExecutorService (java.util.concurrent.ExecutorService)1 Executors (java.util.concurrent.Executors)1 Future (java.util.concurrent.Future)1 Collectors (java.util.stream.Collectors)1 Stream (java.util.stream.Stream)1 GenericRecord (org.apache.avro.generic.GenericRecord)1 FSDataInputStream (org.apache.hadoop.fs.FSDataInputStream)1 Path (org.apache.hadoop.fs.Path)1