Examples with FireDepartmentMetrics org.apache.druid.segment.realtime.FireDepartmentMetrics used on opensource projects

Example 6 with FireDepartmentMetrics

use of org.apache.druid.segment.realtime.FireDepartmentMetrics in project druid by druid-io.

the class SinglePhaseSubTask method generateAndPushSegments.

/**
 * This method reads input data row by row and adds the read row to a proper segment using {@link BaseAppenderatorDriver}.
 * If there is no segment for the row, a new one is created.  Segments can be published in the middle of reading inputs
 * if one of below conditions are satisfied.
 *
 * <ul>
 * <li>
 * If the number of rows in a segment exceeds {@link DynamicPartitionsSpec#maxRowsPerSegment}
 * </li>
 * <li>
 * If the number of rows added to {@link BaseAppenderatorDriver} so far exceeds {@link DynamicPartitionsSpec#maxTotalRows}
 * </li>
 * </ul>
 * <p>
 * At the end of this method, all the remaining segments are published.
 *
 * @return true if generated segments are successfully published, otherwise false
 */
private Set<DataSegment> generateAndPushSegments(final TaskToolbox toolbox, final ParallelIndexSupervisorTaskClient taskClient, final InputSource inputSource, final File tmpDir) throws IOException, InterruptedException {
    final DataSchema dataSchema = ingestionSchema.getDataSchema();
    final GranularitySpec granularitySpec = dataSchema.getGranularitySpec();
    final FireDepartment fireDepartmentForMetrics = new FireDepartment(dataSchema, new RealtimeIOConfig(null, null), null);
    final FireDepartmentMetrics fireDepartmentMetrics = fireDepartmentForMetrics.getMetrics();
    toolbox.addMonitor(new RealtimeMetricsMonitor(Collections.singletonList(fireDepartmentForMetrics), Collections.singletonMap(DruidMetrics.TASK_ID, new String[] { getId() })));
    final ParallelIndexTuningConfig tuningConfig = ingestionSchema.getTuningConfig();
    final DynamicPartitionsSpec partitionsSpec = (DynamicPartitionsSpec) tuningConfig.getGivenOrDefaultPartitionsSpec();
    final long pushTimeout = tuningConfig.getPushTimeout();
    final boolean explicitIntervals = !granularitySpec.inputIntervals().isEmpty();
    final boolean useLineageBasedSegmentAllocation = getContextValue(SinglePhaseParallelIndexTaskRunner.CTX_USE_LINEAGE_BASED_SEGMENT_ALLOCATION_KEY, SinglePhaseParallelIndexTaskRunner.LEGACY_DEFAULT_USE_LINEAGE_BASED_SEGMENT_ALLOCATION);
    // subtaskSpecId is used as the sequenceName, so that retry tasks for the same spec
    // can allocate the same set of segments.
    final String sequenceName = useLineageBasedSegmentAllocation ? Preconditions.checkNotNull(subtaskSpecId, "subtaskSpecId") : getId();
    final SegmentAllocatorForBatch segmentAllocator = SegmentAllocators.forLinearPartitioning(toolbox, sequenceName, new SupervisorTaskAccess(getSupervisorTaskId(), taskClient), getIngestionSchema().getDataSchema(), getTaskLockHelper(), ingestionSchema.getIOConfig().isAppendToExisting(), partitionsSpec, useLineageBasedSegmentAllocation);
    final boolean useMaxMemoryEstimates = getContextValue(Tasks.USE_MAX_MEMORY_ESTIMATES, Tasks.DEFAULT_USE_MAX_MEMORY_ESTIMATES);
    final Appenderator appenderator = BatchAppenderators.newAppenderator(getId(), toolbox.getAppenderatorsManager(), fireDepartmentMetrics, toolbox, dataSchema, tuningConfig, rowIngestionMeters, parseExceptionHandler, useMaxMemoryEstimates);
    boolean exceptionOccurred = false;
    try (final BatchAppenderatorDriver driver = BatchAppenderators.newDriver(appenderator, toolbox, segmentAllocator);
        final CloseableIterator<InputRow> inputRowIterator = AbstractBatchIndexTask.inputSourceReader(tmpDir, dataSchema, inputSource, inputSource.needsFormat() ? ParallelIndexSupervisorTask.getInputFormat(ingestionSchema) : null, inputRow -> {
            if (inputRow == null) {
                return false;
            }
            if (explicitIntervals) {
                final Optional<Interval> optInterval = granularitySpec.bucketInterval(inputRow.getTimestamp());
                return optInterval.isPresent();
            }
            return true;
        }, rowIngestionMeters, parseExceptionHandler)) {
        driver.startJob();
        final Set<DataSegment> pushedSegments = new HashSet<>();
        while (inputRowIterator.hasNext()) {
            final InputRow inputRow = inputRowIterator.next();
            // Segments are created as needed, using a single sequence name. They may be allocated from the overlord
            // (in append mode) or may be created on our own authority (in overwrite mode).
            final AppenderatorDriverAddResult addResult = driver.add(inputRow, sequenceName);
            if (addResult.isOk()) {
                final boolean isPushRequired = addResult.isPushRequired(partitionsSpec.getMaxRowsPerSegment(), partitionsSpec.getMaxTotalRowsOr(DynamicPartitionsSpec.DEFAULT_MAX_TOTAL_ROWS));
                if (isPushRequired) {
                    // There can be some segments waiting for being published even though any rows won't be added to them.
                    // If those segments are not published here, the available space in appenderator will be kept to be small
                    // which makes the size of segments smaller.
                    final SegmentsAndCommitMetadata pushed = driver.pushAllAndClear(pushTimeout);
                    pushedSegments.addAll(pushed.getSegments());
                    LOG.info("Pushed [%s] segments", pushed.getSegments().size());
                    LOG.infoSegments(pushed.getSegments(), "Pushed segments");
                }
            } else {
                throw new ISE("Failed to add a row with timestamp[%s]", inputRow.getTimestamp());
            }
            fireDepartmentMetrics.incrementProcessed();
        }
        final SegmentsAndCommitMetadata pushed = driver.pushAllAndClear(pushTimeout);
        pushedSegments.addAll(pushed.getSegments());
        LOG.info("Pushed [%s] segments", pushed.getSegments().size());
        LOG.infoSegments(pushed.getSegments(), "Pushed segments");
        appenderator.close();
        return pushedSegments;
    } catch (TimeoutException | ExecutionException e) {
        exceptionOccurred = true;
        throw new RuntimeException(e);
    } catch (Exception e) {
        exceptionOccurred = true;
        throw e;
    } finally {
        if (exceptionOccurred) {
            appenderator.closeNow();
        } else {
            appenderator.close();
        }
    }
}

Example 7 with FireDepartmentMetrics

use of org.apache.druid.segment.realtime.FireDepartmentMetrics in project druid by druid-io.

the class SeekableStreamIndexTaskRunner method runInternal.

private TaskStatus runInternal(TaskToolbox toolbox) throws Exception {
    startTime = DateTimes.nowUtc();
    status = Status.STARTING;
    setToolbox(toolbox);
    authorizerMapper = toolbox.getAuthorizerMapper();
    rowIngestionMeters = toolbox.getRowIngestionMetersFactory().createRowIngestionMeters();
    parseExceptionHandler = new ParseExceptionHandler(rowIngestionMeters, tuningConfig.isLogParseExceptions(), tuningConfig.getMaxParseExceptions(), tuningConfig.getMaxSavedParseExceptions());
    // Now we can initialize StreamChunkReader with the given toolbox.
    final StreamChunkParser parser = new StreamChunkParser<RecordType>(this.parser, inputFormat, inputRowSchema, task.getDataSchema().getTransformSpec(), toolbox.getIndexingTmpDir(), row -> row != null && task.withinMinMaxRecordTime(row), rowIngestionMeters, parseExceptionHandler);
    initializeSequences();
    log.debug("Found chat handler of class[%s]", toolbox.getChatHandlerProvider().getClass().getName());
    toolbox.getChatHandlerProvider().register(task.getId(), this, false);
    runThread = Thread.currentThread();
    // Set up FireDepartmentMetrics
    final FireDepartment fireDepartmentForMetrics = new FireDepartment(task.getDataSchema(), new RealtimeIOConfig(null, null), null);
    this.fireDepartmentMetrics = fireDepartmentForMetrics.getMetrics();
    toolbox.addMonitor(TaskRealtimeMetricsMonitorBuilder.build(task, fireDepartmentForMetrics, rowIngestionMeters));
    final String lookupTier = task.getContextValue(RealtimeIndexTask.CTX_KEY_LOOKUP_TIER);
    final LookupNodeService lookupNodeService = lookupTier == null ? toolbox.getLookupNodeService() : new LookupNodeService(lookupTier);
    final DiscoveryDruidNode discoveryDruidNode = new DiscoveryDruidNode(toolbox.getDruidNode(), NodeRole.PEON, ImmutableMap.of(toolbox.getDataNodeService().getName(), toolbox.getDataNodeService(), lookupNodeService.getName(), lookupNodeService));
    Throwable caughtExceptionOuter = null;
    // milliseconds waited for created segments to be handed off
    long handoffWaitMs = 0L;
    try (final RecordSupplier<PartitionIdType, SequenceOffsetType, RecordType> recordSupplier = task.newTaskRecordSupplier()) {
        if (toolbox.getAppenderatorsManager().shouldTaskMakeNodeAnnouncements()) {
            toolbox.getDataSegmentServerAnnouncer().announce();
            toolbox.getDruidNodeAnnouncer().announce(discoveryDruidNode);
        }
        appenderator = task.newAppenderator(toolbox, fireDepartmentMetrics, rowIngestionMeters, parseExceptionHandler);
        driver = task.newDriver(appenderator, toolbox, fireDepartmentMetrics);
        // Start up, set up initial sequences.
        final Object restoredMetadata = driver.startJob(segmentId -> {
            try {
                if (lockGranularityToUse == LockGranularity.SEGMENT) {
                    return toolbox.getTaskActionClient().submit(new SegmentLockAcquireAction(TaskLockType.EXCLUSIVE, segmentId.getInterval(), segmentId.getVersion(), segmentId.getShardSpec().getPartitionNum(), 1000L)).isOk();
                } else {
                    final TaskLock lock = toolbox.getTaskActionClient().submit(new TimeChunkLockAcquireAction(TaskLockType.EXCLUSIVE, segmentId.getInterval(), 1000L));
                    if (lock == null) {
                        return false;
                    }
                    if (lock.isRevoked()) {
                        throw new ISE(StringUtils.format("Lock for interval [%s] was revoked.", segmentId.getInterval()));
                    }
                    return true;
                }
            } catch (IOException e) {
                throw new RuntimeException(e);
            }
        });
        if (restoredMetadata == null) {
            // no persist has happened so far
            // so either this is a brand new task or replacement of a failed task
            Preconditions.checkState(sequences.get(0).startOffsets.entrySet().stream().allMatch(partitionOffsetEntry -> createSequenceNumber(partitionOffsetEntry.getValue()).compareTo(createSequenceNumber(ioConfig.getStartSequenceNumbers().getPartitionSequenceNumberMap().get(partitionOffsetEntry.getKey()))) >= 0), "Sequence sequences are not compatible with start sequences of task");
            currOffsets.putAll(sequences.get(0).startOffsets);
        } else {
            @SuppressWarnings("unchecked") final Map<String, Object> restoredMetadataMap = (Map) restoredMetadata;
            final SeekableStreamEndSequenceNumbers<PartitionIdType, SequenceOffsetType> restoredNextPartitions = deserializePartitionsFromMetadata(toolbox.getJsonMapper(), restoredMetadataMap.get(METADATA_NEXT_PARTITIONS));
            currOffsets.putAll(restoredNextPartitions.getPartitionSequenceNumberMap());
            // Sanity checks.
            if (!restoredNextPartitions.getStream().equals(ioConfig.getStartSequenceNumbers().getStream())) {
                throw new ISE("Restored stream[%s] but expected stream[%s]", restoredNextPartitions.getStream(), ioConfig.getStartSequenceNumbers().getStream());
            }
            if (!currOffsets.keySet().equals(ioConfig.getStartSequenceNumbers().getPartitionSequenceNumberMap().keySet())) {
                throw new ISE("Restored partitions[%s] but expected partitions[%s]", currOffsets.keySet(), ioConfig.getStartSequenceNumbers().getPartitionSequenceNumberMap().keySet());
            }
            // which is super rare
            if (sequences.size() == 0 || getLastSequenceMetadata().isCheckpointed()) {
                this.endOffsets.putAll(sequences.size() == 0 ? currOffsets : getLastSequenceMetadata().getEndOffsets());
            }
        }
        log.info("Initialized sequences: %s", sequences.stream().map(SequenceMetadata::toString).collect(Collectors.joining(", ")));
        // Filter out partitions with END_OF_SHARD markers since these partitions have already been fully read. This
        // should have been done by the supervisor already so this is defensive.
        int numPreFilterPartitions = currOffsets.size();
        if (currOffsets.entrySet().removeIf(x -> isEndOfShard(x.getValue()))) {
            log.info("Removed [%d] partitions from assignment which have already been closed.", numPreFilterPartitions - currOffsets.size());
        }
        // When end offsets are exclusive, we never skip the start record.
        if (!isEndOffsetExclusive()) {
            for (Map.Entry<PartitionIdType, SequenceOffsetType> entry : currOffsets.entrySet()) {
                final boolean isAtStart = entry.getValue().equals(ioConfig.getStartSequenceNumbers().getPartitionSequenceNumberMap().get(entry.getKey()));
                if (!isAtStart || ioConfig.getStartSequenceNumbers().getExclusivePartitions().contains(entry.getKey())) {
                    lastReadOffsets.put(entry.getKey(), entry.getValue());
                }
            }
        }
        // Set up committer.
        final Supplier<Committer> committerSupplier = () -> {
            final Map<PartitionIdType, SequenceOffsetType> snapshot = ImmutableMap.copyOf(currOffsets);
            lastPersistedOffsets.clear();
            lastPersistedOffsets.putAll(snapshot);
            return new Committer() {

                @Override
                public Object getMetadata() {
                    return ImmutableMap.of(METADATA_NEXT_PARTITIONS, new SeekableStreamEndSequenceNumbers<>(stream, snapshot));
                }

                @Override
                public void run() {
                // Do nothing.
                }
            };
        };
        // restart publishing of sequences (if any)
        maybePersistAndPublishSequences(committerSupplier);
        Set<StreamPartition<PartitionIdType>> assignment = assignPartitions(recordSupplier);
        possiblyResetDataSourceMetadata(toolbox, recordSupplier, assignment);
        seekToStartingSequence(recordSupplier, assignment);
        ingestionState = IngestionState.BUILD_SEGMENTS;
        // Main loop.
        // Could eventually support leader/follower mode (for keeping replicas more in sync)
        boolean stillReading = !assignment.isEmpty();
        status = Status.READING;
        Throwable caughtExceptionInner = null;
        try {
            while (stillReading) {
                if (possiblyPause()) {
                    // The partition assignments may have changed while paused by a call to setEndOffsets() so reassign
                    // partitions upon resuming. Don't call "seekToStartingSequence" after "assignPartitions", because there's
                    // no need to re-seek here. All we're going to be doing is dropping partitions.
                    assignment = assignPartitions(recordSupplier);
                    possiblyResetDataSourceMetadata(toolbox, recordSupplier, assignment);
                    if (assignment.isEmpty()) {
                        log.debug("All partitions have been fully read.");
                        publishOnStop.set(true);
                        stopRequested.set(true);
                    }
                }
                // if stop is requested or task's end sequence is set by call to setEndOffsets method with finish set to true
                if (stopRequested.get() || sequences.size() == 0 || getLastSequenceMetadata().isCheckpointed()) {
                    status = Status.PUBLISHING;
                }
                if (stopRequested.get()) {
                    break;
                }
                if (backgroundThreadException != null) {
                    throw new RuntimeException(backgroundThreadException);
                }
                checkPublishAndHandoffFailure();
                maybePersistAndPublishSequences(committerSupplier);
                // calling getRecord() ensures that exceptions specific to kafka/kinesis like OffsetOutOfRangeException
                // are handled in the subclasses.
                List<OrderedPartitionableRecord<PartitionIdType, SequenceOffsetType, RecordType>> records = getRecords(recordSupplier, toolbox);
                // note: getRecords() also updates assignment
                stillReading = !assignment.isEmpty();
                SequenceMetadata<PartitionIdType, SequenceOffsetType> sequenceToCheckpoint = null;
                for (OrderedPartitionableRecord<PartitionIdType, SequenceOffsetType, RecordType> record : records) {
                    final boolean shouldProcess = verifyRecordInRange(record.getPartitionId(), record.getSequenceNumber());
                    log.trace("Got stream[%s] partition[%s] sequenceNumber[%s], shouldProcess[%s].", record.getStream(), record.getPartitionId(), record.getSequenceNumber(), shouldProcess);
                    if (shouldProcess) {
                        final List<InputRow> rows = parser.parse(record.getData(), isEndOfShard(record.getSequenceNumber()));
                        boolean isPersistRequired = false;
                        final SequenceMetadata<PartitionIdType, SequenceOffsetType> sequenceToUse = sequences.stream().filter(sequenceMetadata -> sequenceMetadata.canHandle(this, record)).findFirst().orElse(null);
                        if (sequenceToUse == null) {
                            throw new ISE("Cannot find any valid sequence for record with partition [%s] and sequenceNumber [%s]. Current sequences: %s", record.getPartitionId(), record.getSequenceNumber(), sequences);
                        }
                        for (InputRow row : rows) {
                            final AppenderatorDriverAddResult addResult = driver.add(row, sequenceToUse.getSequenceName(), committerSupplier, true, // of rows are indexed
                            false);
                            if (addResult.isOk()) {
                                // If the number of rows in the segment exceeds the threshold after adding a row,
                                // move the segment out from the active segments of BaseAppenderatorDriver to make a new segment.
                                final boolean isPushRequired = addResult.isPushRequired(tuningConfig.getPartitionsSpec().getMaxRowsPerSegment(), tuningConfig.getPartitionsSpec().getMaxTotalRowsOr(DynamicPartitionsSpec.DEFAULT_MAX_TOTAL_ROWS));
                                if (isPushRequired && !sequenceToUse.isCheckpointed()) {
                                    sequenceToCheckpoint = sequenceToUse;
                                }
                                isPersistRequired |= addResult.isPersistRequired();
                            } else {
                                // If we allow continuing, then consider blacklisting the interval for a while to avoid constant checks.
                                throw new ISE("Could not allocate segment for row with timestamp[%s]", row.getTimestamp());
                            }
                        }
                        if (isPersistRequired) {
                            Futures.addCallback(driver.persistAsync(committerSupplier.get()), new FutureCallback<Object>() {

                                @Override
                                public void onSuccess(@Nullable Object result) {
                                    log.debug("Persist completed with metadata: %s", result);
                                }

                                @Override
                                public void onFailure(Throwable t) {
                                    log.error("Persist failed, dying");
                                    backgroundThreadException = t;
                                }
                            });
                        }
                        // in kafka, we can easily get the next offset by adding 1, but for kinesis, there's no way
                        // to get the next sequence number without having to make an expensive api call. So the behavior
                        // here for kafka is to +1 while for kinesis we simply save the current sequence number
                        lastReadOffsets.put(record.getPartitionId(), record.getSequenceNumber());
                        currOffsets.put(record.getPartitionId(), getNextStartOffset(record.getSequenceNumber()));
                    }
                    // Use record.getSequenceNumber() in the moreToRead check, since currOffsets might not have been
                    // updated if we were skipping records for being beyond the end.
                    final boolean moreToReadAfterThisRecord = isMoreToReadAfterReadingRecord(record.getSequenceNumber(), endOffsets.get(record.getPartitionId()));
                    if (!moreToReadAfterThisRecord && assignment.remove(record.getStreamPartition())) {
                        log.info("Finished reading stream[%s], partition[%s].", record.getStream(), record.getPartitionId());
                        recordSupplier.assign(assignment);
                        stillReading = !assignment.isEmpty();
                    }
                }
                if (!stillReading) {
                    // We let the fireDepartmentMetrics know that all messages have been read. This way, some metrics such as
                    // high message gap need not be reported
                    fireDepartmentMetrics.markProcessingDone();
                }
                if (System.currentTimeMillis() > nextCheckpointTime) {
                    sequenceToCheckpoint = getLastSequenceMetadata();
                }
                if (sequenceToCheckpoint != null && stillReading) {
                    Preconditions.checkArgument(getLastSequenceMetadata().getSequenceName().equals(sequenceToCheckpoint.getSequenceName()), "Cannot checkpoint a sequence [%s] which is not the latest one, sequences %s", sequenceToCheckpoint, sequences);
                    requestPause();
                    final CheckPointDataSourceMetadataAction checkpointAction = new CheckPointDataSourceMetadataAction(task.getDataSource(), ioConfig.getTaskGroupId(), null, createDataSourceMetadata(new SeekableStreamStartSequenceNumbers<>(stream, sequenceToCheckpoint.getStartOffsets(), sequenceToCheckpoint.getExclusiveStartPartitions())));
                    if (!toolbox.getTaskActionClient().submit(checkpointAction)) {
                        throw new ISE("Checkpoint request with sequences [%s] failed, dying", currOffsets);
                    }
                }
            }
            ingestionState = IngestionState.COMPLETED;
        } catch (Exception e) {
            // (1) catch all exceptions while reading from kafka
            caughtExceptionInner = e;
            log.error(e, "Encountered exception in run() before persisting.");
            throw e;
        } finally {
            try {
                // persist pending data
                driver.persist(committerSupplier.get());
            } catch (Exception e) {
                if (caughtExceptionInner != null) {
                    caughtExceptionInner.addSuppressed(e);
                } else {
                    throw e;
                }
            }
        }
        synchronized (statusLock) {
            if (stopRequested.get() && !publishOnStop.get()) {
                throw new InterruptedException("Stopping without publishing");
            }
            status = Status.PUBLISHING;
        }
        // We need to copy sequences here, because the success callback in publishAndRegisterHandoff removes items from
        // the sequence list. If a publish finishes before we finish iterating through the sequence list, we can
        // end up skipping some sequences.
        List<SequenceMetadata<PartitionIdType, SequenceOffsetType>> sequencesSnapshot = new ArrayList<>(sequences);
        for (int i = 0; i < sequencesSnapshot.size(); i++) {
            final SequenceMetadata<PartitionIdType, SequenceOffsetType> sequenceMetadata = sequencesSnapshot.get(i);
            if (!publishingSequences.contains(sequenceMetadata.getSequenceName())) {
                final boolean isLast = i == (sequencesSnapshot.size() - 1);
                if (isLast) {
                    // Shorten endOffsets of the last sequence to match currOffsets.
                    sequenceMetadata.setEndOffsets(currOffsets);
                }
                // Update assignments of the sequence, which should clear them. (This will be checked later, when the
                // Committer is built.)
                sequenceMetadata.updateAssignments(currOffsets, this::isMoreToReadAfterReadingRecord);
                publishingSequences.add(sequenceMetadata.getSequenceName());
                // persist already done in finally, so directly add to publishQueue
                publishAndRegisterHandoff(sequenceMetadata);
            }
        }
        if (backgroundThreadException != null) {
            throw new RuntimeException(backgroundThreadException);
        }
        // Wait for publish futures to complete.
        Futures.allAsList(publishWaitList).get();
        // Wait for handoff futures to complete.
        // Note that every publishing task (created by calling AppenderatorDriver.publish()) has a corresponding
        // handoffFuture. handoffFuture can throw an exception if 1) the corresponding publishFuture failed or 2) it
        // failed to persist sequences. It might also return null if handoff failed, but was recoverable.
        // See publishAndRegisterHandoff() for details.
        List<SegmentsAndCommitMetadata> handedOffList = Collections.emptyList();
        if (tuningConfig.getHandoffConditionTimeout() == 0) {
            handedOffList = Futures.allAsList(handOffWaitList).get();
        } else {
            final long start = System.nanoTime();
            try {
                handedOffList = Futures.allAsList(handOffWaitList).get(tuningConfig.getHandoffConditionTimeout(), TimeUnit.MILLISECONDS);
            } catch (TimeoutException e) {
                // Handoff timeout is not an indexing failure, but coordination failure. We simply ignore timeout exception
                // here.
                log.makeAlert("Timeout waiting for handoff").addData("taskId", task.getId()).addData("handoffConditionTimeout", tuningConfig.getHandoffConditionTimeout()).emit();
            } finally {
                handoffWaitMs = TimeUnit.NANOSECONDS.toMillis(System.nanoTime() - start);
            }
        }
        for (SegmentsAndCommitMetadata handedOff : handedOffList) {
            log.info("Handoff complete for segments: %s", String.join(", ", Lists.transform(handedOff.getSegments(), DataSegment::toString)));
        }
        appenderator.close();
    } catch (InterruptedException | RejectedExecutionException e) {
        // (2) catch InterruptedException and RejectedExecutionException thrown for the whole ingestion steps including
        // the final publishing.
        caughtExceptionOuter = e;
        try {
            Futures.allAsList(publishWaitList).cancel(true);
            Futures.allAsList(handOffWaitList).cancel(true);
            if (appenderator != null) {
                appenderator.closeNow();
            }
        } catch (Exception e2) {
            e.addSuppressed(e2);
        }
        // handle the InterruptedException that gets wrapped in a RejectedExecutionException
        if (e instanceof RejectedExecutionException && (e.getCause() == null || !(e.getCause() instanceof InterruptedException))) {
            throw e;
        }
        // if we were interrupted because we were asked to stop, handle the exception and return success, else rethrow
        if (!stopRequested.get()) {
            Thread.currentThread().interrupt();
            throw e;
        }
    } catch (Exception e) {
        // (3) catch all other exceptions thrown for the whole ingestion steps including the final publishing.
        caughtExceptionOuter = e;
        try {
            Futures.allAsList(publishWaitList).cancel(true);
            Futures.allAsList(handOffWaitList).cancel(true);
            if (appenderator != null) {
                appenderator.closeNow();
            }
        } catch (Exception e2) {
            e.addSuppressed(e2);
        }
        throw e;
    } finally {
        try {
            if (driver != null) {
                driver.close();
            }
            toolbox.getChatHandlerProvider().unregister(task.getId());
            if (toolbox.getAppenderatorsManager().shouldTaskMakeNodeAnnouncements()) {
                toolbox.getDruidNodeAnnouncer().unannounce(discoveryDruidNode);
                toolbox.getDataSegmentServerAnnouncer().unannounce();
            }
        } catch (Throwable e) {
            if (caughtExceptionOuter != null) {
                caughtExceptionOuter.addSuppressed(e);
            } else {
                throw e;
            }
        }
    }
    toolbox.getTaskReportFileWriter().write(task.getId(), getTaskCompletionReports(null, handoffWaitMs));
    return TaskStatus.success(task.getId());
}

Example 8 with FireDepartmentMetrics

use of org.apache.druid.segment.realtime.FireDepartmentMetrics in project druid by druid-io.

the class RealtimePlumberSchoolTest method setUp.

@Before
public void setUp() throws Exception {
    tmpDir = FileUtils.createTempDir();
    ObjectMapper jsonMapper = new DefaultObjectMapper();
    schema = new DataSchema("test", jsonMapper.convertValue(new StringInputRowParser(new JSONParseSpec(new TimestampSpec("timestamp", "auto", null), DimensionsSpec.EMPTY, null, null, null), null), Map.class), new AggregatorFactory[] { new CountAggregatorFactory("rows") }, new UniformGranularitySpec(Granularities.HOUR, Granularities.NONE, null), null, jsonMapper);
    schema2 = new DataSchema("test", jsonMapper.convertValue(new StringInputRowParser(new JSONParseSpec(new TimestampSpec("timestamp", "auto", null), DimensionsSpec.EMPTY, null, null, null), null), Map.class), new AggregatorFactory[] { new CountAggregatorFactory("rows") }, new UniformGranularitySpec(Granularities.YEAR, Granularities.NONE, null), null, jsonMapper);
    announcer = EasyMock.createMock(DataSegmentAnnouncer.class);
    announcer.announceSegment(EasyMock.anyObject());
    EasyMock.expectLastCall().anyTimes();
    segmentPublisher = EasyMock.createNiceMock(SegmentPublisher.class);
    dataSegmentPusher = EasyMock.createNiceMock(DataSegmentPusher.class);
    handoffNotifierFactory = EasyMock.createNiceMock(SegmentHandoffNotifierFactory.class);
    handoffNotifier = EasyMock.createNiceMock(SegmentHandoffNotifier.class);
    EasyMock.expect(handoffNotifierFactory.createSegmentHandoffNotifier(EasyMock.anyString())).andReturn(handoffNotifier).anyTimes();
    EasyMock.expect(handoffNotifier.registerSegmentHandoffCallback(EasyMock.anyObject(), EasyMock.anyObject(), EasyMock.anyObject())).andReturn(true).anyTimes();
    emitter = EasyMock.createMock(ServiceEmitter.class);
    EasyMock.replay(announcer, segmentPublisher, dataSegmentPusher, handoffNotifierFactory, handoffNotifier, emitter);
    tuningConfig = new RealtimeTuningConfig(null, 1, null, null, null, null, null, new IntervalStartVersioningPolicy(), rejectionPolicy, null, null, null, null, 0, 0, false, null, null, null, null);
    realtimePlumberSchool = new RealtimePlumberSchool(emitter, new DefaultQueryRunnerFactoryConglomerate(new HashMap<>()), dataSegmentPusher, announcer, segmentPublisher, handoffNotifierFactory, DirectQueryProcessingPool.INSTANCE, NoopJoinableFactory.INSTANCE, TestHelper.getTestIndexMergerV9(segmentWriteOutMediumFactory), TestHelper.getTestIndexIO(), MapCache.create(0), FireDepartmentTest.NO_CACHE_CONFIG, new CachePopulatorStats(), TestHelper.makeJsonMapper());
    metrics = new FireDepartmentMetrics();
    plumber = (RealtimePlumber) realtimePlumberSchool.findPlumber(schema, tuningConfig, metrics);
}

Example 9 with FireDepartmentMetrics

use of org.apache.druid.segment.realtime.FireDepartmentMetrics in project druid by druid-io.

the class DefaultOfflineAppenderatorFactoryTest method testBuild.

@Test
public void testBuild() throws IOException, SegmentNotWritableException {
    Injector injector = Initialization.makeInjectorWithModules(GuiceInjectors.makeStartupInjector(), ImmutableList.<Module>of(new Module() {

        @Override
        public void configure(Binder binder) {
            binder.bindConstant().annotatedWith(Names.named("serviceName")).to("druid/tool");
            binder.bindConstant().annotatedWith(Names.named("servicePort")).to(9999);
            binder.bindConstant().annotatedWith(Names.named("tlsServicePort")).to(-1);
            binder.bind(DruidProcessingConfig.class).toInstance(new DruidProcessingConfig() {

                @Override
                public String getFormatString() {
                    return "processing-%s";
                }

                @Override
                public int intermediateComputeSizeBytes() {
                    return 100 * 1024 * 1024;
                }

                @Override
                public int getNumThreads() {
                    return 1;
                }

                @Override
                public int columnCacheSizeBytes() {
                    return 25 * 1024 * 1024;
                }
            });
            binder.bind(ColumnConfig.class).to(DruidProcessingConfig.class);
        }
    }));
    ObjectMapper objectMapper = injector.getInstance(ObjectMapper.class);
    AppenderatorFactory defaultOfflineAppenderatorFactory = objectMapper.readerFor(AppenderatorFactory.class).readValue("{\"type\":\"offline\"}");
    final Map<String, Object> parserMap = objectMapper.convertValue(new MapInputRowParser(new JSONParseSpec(new TimestampSpec("ts", "auto", null), DimensionsSpec.EMPTY, null, null, null)), Map.class);
    DataSchema schema = new DataSchema("dataSourceName", parserMap, new AggregatorFactory[] { new CountAggregatorFactory("count"), new LongSumAggregatorFactory("met", "met") }, new UniformGranularitySpec(Granularities.MINUTE, Granularities.NONE, null), null, objectMapper);
    RealtimeTuningConfig tuningConfig = new RealtimeTuningConfig(null, 75000, null, null, null, null, temporaryFolder.newFolder(), null, null, null, null, null, null, 0, 0, null, null, null, null, null);
    Appenderator appenderator = defaultOfflineAppenderatorFactory.build(schema, tuningConfig, new FireDepartmentMetrics());
    try {
        Assert.assertEquals("dataSourceName", appenderator.getDataSource());
        Assert.assertEquals(null, appenderator.startJob());
        SegmentIdWithShardSpec identifier = new SegmentIdWithShardSpec("dataSourceName", Intervals.of("2000/2001"), "A", new LinearShardSpec(0));
        Assert.assertEquals(0, ((AppenderatorImpl) appenderator).getRowsInMemory());
        appenderator.add(identifier, StreamAppenderatorTest.ir("2000", "bar", 1), null);
        Assert.assertEquals(1, ((AppenderatorImpl) appenderator).getRowsInMemory());
        appenderator.add(identifier, StreamAppenderatorTest.ir("2000", "baz", 1), null);
        Assert.assertEquals(2, ((AppenderatorImpl) appenderator).getRowsInMemory());
        appenderator.close();
        Assert.assertEquals(0, ((AppenderatorImpl) appenderator).getRowsInMemory());
    } finally {
        appenderator.close();
    }
}