Examples with Time org.apache.hadoop.util.Time used on opensource projects

Example 1 with Time

use of org.apache.hadoop.util.Time in project ozone by apache.

the class ReconNodeManager method processHeartbeat.

/**
 * Send heartbeat to indicate the datanode is alive and doing well.
 *
 * @param datanodeDetails - DatanodeDetailsProto.
 * @param layoutInfo - Layout Version Proto
 * @return SCMheartbeat response.
 */
@Override
public List<SCMCommand> processHeartbeat(DatanodeDetails datanodeDetails, LayoutVersionProto layoutInfo) {
    List<SCMCommand> cmds = new ArrayList<>();
    long currentTime = Time.now();
    if (needUpdate(datanodeDetails, currentTime)) {
        cmds.add(new ReregisterCommand());
        LOG.info("Sending ReregisterCommand() for " + datanodeDetails.getHostName());
        datanodeHeartbeatMap.put(datanodeDetails.getUuid(), Time.now());
        return cmds;
    }
    // Update heartbeat map with current time
    datanodeHeartbeatMap.put(datanodeDetails.getUuid(), Time.now());
    cmds.addAll(super.processHeartbeat(datanodeDetails, layoutInfo));
    return cmds.stream().filter(c -> ALLOWED_COMMANDS.contains(c.getType())).collect(toList());
}

Example 2 with Time

use of org.apache.hadoop.util.Time in project hudi by apache.

the class TestHoodieBackedMetadata method testReattemptOfFailedClusteringCommit.

/**
 * Lets say clustering commit succeeded in metadata table, but failed before committing to datatable.
 * Next time, when clustering kicks in, hudi will rollback pending clustering (in data table) and re-attempt the clustering with same
 * instant time. So, this test ensures the 2nd attempt succeeds with metadata enabled.
 * This is applicable to any table service where instant time is fixed. So, how many ever times the operation fails, re attempt will
 * be made with same commit time.
 * Tests uses clustering to test out the scenario.
 */
@Test
public void testReattemptOfFailedClusteringCommit() throws Exception {
    tableType = HoodieTableType.COPY_ON_WRITE;
    init(tableType);
    context = new HoodieSparkEngineContext(jsc);
    HoodieWriteConfig config = getSmallInsertWriteConfig(2000, TRIP_EXAMPLE_SCHEMA, 10, false);
    SparkRDDWriteClient client = getHoodieWriteClient(config);
    // Write 1 (Bulk insert)
    String newCommitTime = "0000001";
    List<HoodieRecord> records = dataGen.generateInserts(newCommitTime, 20);
    client.startCommitWithTime(newCommitTime);
    List<WriteStatus> writeStatuses = client.insert(jsc.parallelize(records, 1), newCommitTime).collect();
    assertNoWriteErrors(writeStatuses);
    validateMetadata(client);
    // Write 2 (inserts)
    newCommitTime = "0000002";
    client.startCommitWithTime(newCommitTime);
    records = dataGen.generateInserts(newCommitTime, 20);
    writeStatuses = client.insert(jsc.parallelize(records, 1), newCommitTime).collect();
    assertNoWriteErrors(writeStatuses);
    validateMetadata(client);
    // setup clustering config.
    HoodieClusteringConfig clusteringConfig = HoodieClusteringConfig.newBuilder().withClusteringMaxNumGroups(10).withClusteringSortColumns("_row_key").withInlineClustering(true).withClusteringTargetPartitions(0).withInlineClusteringNumCommits(1).build();
    HoodieWriteConfig newWriteConfig = getConfigBuilder(TRIP_EXAMPLE_SCHEMA, HoodieIndex.IndexType.BLOOM, HoodieFailedWritesCleaningPolicy.EAGER).withAutoCommit(false).withClusteringConfig(clusteringConfig).build();
    // trigger clustering
    SparkRDDWriteClient newClient = getHoodieWriteClient(newWriteConfig);
    String clusteringCommitTime = newClient.scheduleClustering(Option.empty()).get().toString();
    HoodieWriteMetadata<JavaRDD<WriteStatus>> clusterMetadata = newClient.cluster(clusteringCommitTime, true);
    // collect replaceFileIds for validation later.
    Set<HoodieFileGroupId> replacedFileIds = new HashSet<>();
    clusterMetadata.getPartitionToReplaceFileIds().entrySet().forEach(partitionFiles -> partitionFiles.getValue().stream().forEach(file -> replacedFileIds.add(new HoodieFileGroupId(partitionFiles.getKey(), file))));
    // trigger new write to mimic other writes succeeding before re-attempt.
    newCommitTime = "0000003";
    client.startCommitWithTime(newCommitTime);
    records = dataGen.generateInserts(newCommitTime, 20);
    writeStatuses = client.insert(jsc.parallelize(records, 1), newCommitTime).collect();
    assertNoWriteErrors(writeStatuses);
    validateMetadata(client);
    // manually remove clustering completed instant from .hoodie folder and to mimic succeeded clustering in metadata table, but failed in data table.
    FileCreateUtils.deleteReplaceCommit(basePath, clusteringCommitTime);
    HoodieWriteMetadata<JavaRDD<WriteStatus>> updatedClusterMetadata = newClient.cluster(clusteringCommitTime, true);
    metaClient.reloadActiveTimeline();
    Set<HoodieFileGroupId> updatedReplacedFileIds = new HashSet<>();
    updatedClusterMetadata.getPartitionToReplaceFileIds().entrySet().forEach(partitionFiles -> partitionFiles.getValue().stream().forEach(file -> updatedReplacedFileIds.add(new HoodieFileGroupId(partitionFiles.getKey(), file))));
    assertEquals(replacedFileIds, updatedReplacedFileIds);
    validateMetadata(client);
}

Example 3 with Time

use of org.apache.hadoop.util.Time in project hudi by apache.

the class TestHoodieBackedMetadata method validateMetadata.

private void validateMetadata(SparkRDDWriteClient testClient) throws IOException {
    HoodieWriteConfig config = testClient.getConfig();
    SparkRDDWriteClient client;
    if (config.isEmbeddedTimelineServerEnabled()) {
        testClient.close();
        client = new SparkRDDWriteClient(testClient.getEngineContext(), testClient.getConfig());
    } else {
        client = testClient;
    }
    HoodieTableMetadata tableMetadata = metadata(client);
    assertNotNull(tableMetadata, "MetadataReader should have been initialized");
    if (!config.isMetadataTableEnabled()) {
        return;
    }
    HoodieTimer timer = new HoodieTimer().startTimer();
    HoodieSparkEngineContext engineContext = new HoodieSparkEngineContext(jsc);
    // Partitions should match
    FileSystemBackedTableMetadata fsBackedTableMetadata = new FileSystemBackedTableMetadata(engineContext, new SerializableConfiguration(hadoopConf), config.getBasePath(), config.shouldAssumeDatePartitioning());
    List<String> fsPartitions = fsBackedTableMetadata.getAllPartitionPaths();
    List<String> metadataPartitions = tableMetadata.getAllPartitionPaths();
    Collections.sort(fsPartitions);
    Collections.sort(metadataPartitions);
    assertEquals(fsPartitions.size(), metadataPartitions.size(), "Partitions should match");
    assertTrue(fsPartitions.equals(metadataPartitions), "Partitions should match");
    // Files within each partition should match
    metaClient = HoodieTableMetaClient.reload(metaClient);
    HoodieTable table = HoodieSparkTable.create(config, engineContext);
    TableFileSystemView tableView = table.getHoodieView();
    List<String> fullPartitionPaths = fsPartitions.stream().map(partition -> basePath + "/" + partition).collect(Collectors.toList());
    Map<String, FileStatus[]> partitionToFilesMap = tableMetadata.getAllFilesInPartitions(fullPartitionPaths);
    assertEquals(fsPartitions.size(), partitionToFilesMap.size());
    fsPartitions.forEach(partition -> {
        try {
            Path partitionPath;
            if (partition.equals("")) {
                // Should be the non-partitioned case
                partitionPath = new Path(basePath);
            } else {
                partitionPath = new Path(basePath, partition);
            }
            FileStatus[] fsStatuses = FSUtils.getAllDataFilesInPartition(fs, partitionPath);
            FileStatus[] metaStatuses = tableMetadata.getAllFilesInPartition(partitionPath);
            List<String> fsFileNames = Arrays.stream(fsStatuses).map(s -> s.getPath().getName()).collect(Collectors.toList());
            List<String> metadataFilenames = Arrays.stream(metaStatuses).map(s -> s.getPath().getName()).collect(Collectors.toList());
            Collections.sort(fsFileNames);
            Collections.sort(metadataFilenames);
            assertEquals(fsStatuses.length, partitionToFilesMap.get(partitionPath.toString()).length);
            // File sizes should be valid
            Arrays.stream(metaStatuses).forEach(s -> assertTrue(s.getLen() > 0));
            if ((fsFileNames.size() != metadataFilenames.size()) || (!fsFileNames.equals(metadataFilenames))) {
                LOG.info("*** File system listing = " + Arrays.toString(fsFileNames.toArray()));
                LOG.info("*** Metadata listing = " + Arrays.toString(metadataFilenames.toArray()));
                for (String fileName : fsFileNames) {
                    if (!metadataFilenames.contains(fileName)) {
                        LOG.error(partition + "FsFilename " + fileName + " not found in Meta data");
                    }
                }
                for (String fileName : metadataFilenames) {
                    if (!fsFileNames.contains(fileName)) {
                        LOG.error(partition + "Metadata file " + fileName + " not found in original FS");
                    }
                }
            }
            // Block sizes should be valid
            Arrays.stream(metaStatuses).forEach(s -> assertTrue(s.getBlockSize() > 0));
            List<Long> fsBlockSizes = Arrays.stream(fsStatuses).map(FileStatus::getBlockSize).collect(Collectors.toList());
            Collections.sort(fsBlockSizes);
            List<Long> metadataBlockSizes = Arrays.stream(metaStatuses).map(FileStatus::getBlockSize).collect(Collectors.toList());
            Collections.sort(metadataBlockSizes);
            assertEquals(fsBlockSizes, metadataBlockSizes);
            assertEquals(fsFileNames.size(), metadataFilenames.size(), "Files within partition " + partition + " should match");
            assertTrue(fsFileNames.equals(metadataFilenames), "Files within partition " + partition + " should match");
            // FileSystemView should expose the same data
            List<HoodieFileGroup> fileGroups = tableView.getAllFileGroups(partition).collect(Collectors.toList());
            fileGroups.addAll(tableView.getAllReplacedFileGroups(partition).collect(Collectors.toList()));
            fileGroups.forEach(g -> LogManager.getLogger(TestHoodieBackedMetadata.class).info(g));
            fileGroups.forEach(g -> g.getAllBaseFiles().forEach(b -> LogManager.getLogger(TestHoodieBackedMetadata.class).info(b)));
            fileGroups.forEach(g -> g.getAllFileSlices().forEach(s -> LogManager.getLogger(TestHoodieBackedMetadata.class).info(s)));
            long numFiles = fileGroups.stream().mapToLong(g -> g.getAllBaseFiles().count() + g.getAllFileSlices().mapToLong(s -> s.getLogFiles().count()).sum()).sum();
            assertEquals(metadataFilenames.size(), numFiles);
        } catch (IOException e) {
            e.printStackTrace();
            assertTrue(false, "Exception should not be raised: " + e);
        }
    });
    HoodieBackedTableMetadataWriter metadataWriter = metadataWriter(client);
    assertNotNull(metadataWriter, "MetadataWriter should have been initialized");
    // Validate write config for metadata table
    HoodieWriteConfig metadataWriteConfig = metadataWriter.getWriteConfig();
    assertFalse(metadataWriteConfig.isMetadataTableEnabled(), "No metadata table for metadata table");
    // Metadata table should be in sync with the dataset
    HoodieTableMetaClient metadataMetaClient = HoodieTableMetaClient.builder().setConf(hadoopConf).setBasePath(metadataTableBasePath).build();
    // Metadata table is MOR
    assertEquals(metadataMetaClient.getTableType(), HoodieTableType.MERGE_ON_READ, "Metadata Table should be MOR");
    // Metadata table is HFile format
    assertEquals(metadataMetaClient.getTableConfig().getBaseFileFormat(), HoodieFileFormat.HFILE, "Metadata Table base file format should be HFile");
    // Metadata table has a fixed number of partitions
    // Cannot use FSUtils.getAllFoldersWithPartitionMetaFile for this as that function filters all directory
    // in the .hoodie folder.
    List<String> metadataTablePartitions = FSUtils.getAllPartitionPaths(engineContext, HoodieTableMetadata.getMetadataTableBasePath(basePath), false, false);
    assertEquals(metadataWriter.getEnabledPartitionTypes().size(), metadataTablePartitions.size());
    final Map<String, MetadataPartitionType> metadataEnabledPartitionTypes = new HashMap<>();
    metadataWriter.getEnabledPartitionTypes().forEach(e -> metadataEnabledPartitionTypes.put(e.getPartitionPath(), e));
    // Metadata table should automatically compact and clean
    // versions are +1 as autoclean / compaction happens end of commits
    int numFileVersions = metadataWriteConfig.getCleanerFileVersionsRetained() + 1;
    HoodieTableFileSystemView fsView = new HoodieTableFileSystemView(metadataMetaClient, metadataMetaClient.getActiveTimeline());
    metadataTablePartitions.forEach(partition -> {
        List<FileSlice> latestSlices = fsView.getLatestFileSlices(partition).collect(Collectors.toList());
        assertTrue(latestSlices.stream().map(FileSlice::getBaseFile).count() <= metadataEnabledPartitionTypes.get(partition).getFileGroupCount(), "Should have a single latest base file per file group");
        assertTrue(latestSlices.size() <= metadataEnabledPartitionTypes.get(partition).getFileGroupCount(), "Should have a single latest file slice per file group");
        assertTrue(latestSlices.size() <= (numFileVersions * metadataEnabledPartitionTypes.get(partition).getFileGroupCount()), "Should limit file slice to " + numFileVersions + " per file group, but was " + latestSlices.size());
    });
    LOG.info("Validation time=" + timer.endTimer());
}