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Example 1 with TaskRealtimeMetricsMonitor

use of org.apache.druid.indexing.common.stats.TaskRealtimeMetricsMonitor in project druid by druid-io.

the class IndexTask method generateAndPublishSegments.

/**
 * 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 {@link DynamicPartitionsSpec} is used and 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 the last {@link TaskStatus}
 */
private TaskStatus generateAndPublishSegments(final TaskToolbox toolbox, final DataSchema dataSchema, final InputSource inputSource, final File tmpDir, final PartitionAnalysis partitionAnalysis) throws IOException, InterruptedException {
    final FireDepartment fireDepartmentForMetrics = new FireDepartment(dataSchema, new RealtimeIOConfig(null, null), null);
    FireDepartmentMetrics buildSegmentsFireDepartmentMetrics = fireDepartmentForMetrics.getMetrics();
    if (toolbox.getMonitorScheduler() != null) {
        final TaskRealtimeMetricsMonitor metricsMonitor = TaskRealtimeMetricsMonitorBuilder.build(this, fireDepartmentForMetrics, buildSegmentsMeters);
        toolbox.getMonitorScheduler().addMonitor(metricsMonitor);
    }
    final PartitionsSpec partitionsSpec = partitionAnalysis.getPartitionsSpec();
    final IndexTuningConfig tuningConfig = ingestionSchema.getTuningConfig();
    final long pushTimeout = tuningConfig.getPushTimeout();
    final SegmentAllocatorForBatch segmentAllocator;
    final SequenceNameFunction sequenceNameFunction;
    switch(partitionsSpec.getType()) {
        case HASH:
        case RANGE:
            final SegmentAllocatorForBatch localSegmentAllocator = SegmentAllocators.forNonLinearPartitioning(toolbox, getDataSource(), baseSequenceName, dataSchema.getGranularitySpec(), null, (CompletePartitionAnalysis) partitionAnalysis);
            sequenceNameFunction = localSegmentAllocator.getSequenceNameFunction();
            segmentAllocator = localSegmentAllocator;
            break;
        case LINEAR:
            segmentAllocator = SegmentAllocators.forLinearPartitioning(toolbox, baseSequenceName, null, dataSchema, getTaskLockHelper(), ingestionSchema.getIOConfig().isAppendToExisting(), partitionAnalysis.getPartitionsSpec(), null);
            sequenceNameFunction = segmentAllocator.getSequenceNameFunction();
            break;
        default:
            throw new UOE("[%s] secondary partition type is not supported", partitionsSpec.getType());
    }
    Set<DataSegment> segmentsFoundForDrop = null;
    if (ingestionSchema.getIOConfig().isDropExisting()) {
        segmentsFoundForDrop = getUsedSegmentsWithinInterval(toolbox, getDataSource(), ingestionSchema.getDataSchema().getGranularitySpec().inputIntervals());
    }
    final TransactionalSegmentPublisher publisher = (segmentsToBeOverwritten, segmentsToDrop, segmentsToPublish, commitMetadata) -> toolbox.getTaskActionClient().submit(SegmentTransactionalInsertAction.overwriteAction(segmentsToBeOverwritten, segmentsToDrop, segmentsToPublish));
    String effectiveId = getContextValue(CompactionTask.CTX_KEY_APPENDERATOR_TRACKING_TASK_ID, null);
    if (effectiveId == null) {
        effectiveId = getId();
    }
    final Appenderator appenderator = BatchAppenderators.newAppenderator(effectiveId, toolbox.getAppenderatorsManager(), buildSegmentsFireDepartmentMetrics, toolbox, dataSchema, tuningConfig, buildSegmentsMeters, buildSegmentsParseExceptionHandler, isUseMaxMemoryEstimates());
    boolean exceptionOccurred = false;
    try (final BatchAppenderatorDriver driver = BatchAppenderators.newDriver(appenderator, toolbox, segmentAllocator)) {
        driver.startJob();
        InputSourceProcessor.process(dataSchema, driver, partitionsSpec, inputSource, inputSource.needsFormat() ? getInputFormat(ingestionSchema) : null, tmpDir, sequenceNameFunction, new DefaultIndexTaskInputRowIteratorBuilder(), buildSegmentsMeters, buildSegmentsParseExceptionHandler, pushTimeout);
        // If we use timeChunk lock, then we don't have to specify what segments will be overwritten because
        // it will just overwrite all segments overlapped with the new segments.
        final Set<DataSegment> inputSegments = getTaskLockHelper().isUseSegmentLock() ? getTaskLockHelper().getLockedExistingSegments() : null;
        final boolean storeCompactionState = getContextValue(Tasks.STORE_COMPACTION_STATE_KEY, Tasks.DEFAULT_STORE_COMPACTION_STATE);
        final Function<Set<DataSegment>, Set<DataSegment>> annotateFunction = compactionStateAnnotateFunction(storeCompactionState, toolbox, ingestionSchema);
        // Probably we can publish atomicUpdateGroup along with segments.
        final SegmentsAndCommitMetadata published = awaitPublish(driver.publishAll(inputSegments, segmentsFoundForDrop, publisher, annotateFunction), pushTimeout);
        appenderator.close();
        // for awaitSegmentAvailabilityTimeoutMillis
        if (tuningConfig.getAwaitSegmentAvailabilityTimeoutMillis() > 0 && published != null) {
            ingestionState = IngestionState.SEGMENT_AVAILABILITY_WAIT;
            ArrayList<DataSegment> segmentsToWaitFor = new ArrayList<>(published.getSegments());
            waitForSegmentAvailability(toolbox, segmentsToWaitFor, tuningConfig.getAwaitSegmentAvailabilityTimeoutMillis());
        }
        ingestionState = IngestionState.COMPLETED;
        if (published == null) {
            log.error("Failed to publish segments, aborting!");
            errorMsg = "Failed to publish segments.";
            toolbox.getTaskReportFileWriter().write(getId(), getTaskCompletionReports());
            return TaskStatus.failure(getId(), errorMsg);
        } else {
            log.info("Processed[%,d] events, unparseable[%,d], thrownAway[%,d].", buildSegmentsMeters.getProcessed(), buildSegmentsMeters.getUnparseable(), buildSegmentsMeters.getThrownAway());
            log.info("Published [%s] segments", published.getSegments().size());
            log.debugSegments(published.getSegments(), "Published segments");
            toolbox.getTaskReportFileWriter().write(getId(), getTaskCompletionReports());
            return TaskStatus.success(getId());
        }
    } 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();
        }
    }
}
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Example 2 with TaskRealtimeMetricsMonitor

use of org.apache.druid.indexing.common.stats.TaskRealtimeMetricsMonitor in project druid by druid-io.

the class AppenderatorDriverRealtimeIndexTask method run.

@Override
public TaskStatus run(final TaskToolbox toolbox) {
    runThread = Thread.currentThread();
    authorizerMapper = toolbox.getAuthorizerMapper();
    rowIngestionMeters = toolbox.getRowIngestionMetersFactory().createRowIngestionMeters();
    parseExceptionHandler = new ParseExceptionHandler(rowIngestionMeters, spec.getTuningConfig().isLogParseExceptions(), spec.getTuningConfig().getMaxParseExceptions(), spec.getTuningConfig().getMaxSavedParseExceptions());
    setupTimeoutAlert();
    DataSchema dataSchema = spec.getDataSchema();
    RealtimeAppenderatorTuningConfig tuningConfig = spec.getTuningConfig().withBasePersistDirectory(toolbox.getPersistDir());
    final FireDepartment fireDepartmentForMetrics = new FireDepartment(dataSchema, new RealtimeIOConfig(null, null), null);
    final TaskRealtimeMetricsMonitor metricsMonitor = TaskRealtimeMetricsMonitorBuilder.build(this, fireDepartmentForMetrics, rowIngestionMeters);
    this.metrics = fireDepartmentForMetrics.getMetrics();
    final Supplier<Committer> committerSupplier = Committers.nilSupplier();
    DiscoveryDruidNode discoveryDruidNode = createDiscoveryDruidNode(toolbox);
    appenderator = newAppenderator(dataSchema, tuningConfig, metrics, toolbox);
    TaskLockType lockType = getContextValue(Tasks.USE_SHARED_LOCK, false) ? TaskLockType.SHARED : TaskLockType.EXCLUSIVE;
    StreamAppenderatorDriver driver = newDriver(dataSchema, appenderator, toolbox, metrics, lockType);
    try {
        log.debug("Found chat handler of class[%s]", toolbox.getChatHandlerProvider().getClass().getName());
        toolbox.getChatHandlerProvider().register(getId(), this, false);
        if (toolbox.getAppenderatorsManager().shouldTaskMakeNodeAnnouncements()) {
            toolbox.getDataSegmentServerAnnouncer().announce();
            toolbox.getDruidNodeAnnouncer().announce(discoveryDruidNode);
        }
        driver.startJob(segmentId -> {
            try {
                if (lockGranularity == 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);
            }
        });
        // Set up metrics emission
        toolbox.addMonitor(metricsMonitor);
        // Delay firehose connection to avoid claiming input resources while the plumber is starting up.
        final FirehoseFactory firehoseFactory = spec.getIOConfig().getFirehoseFactory();
        final boolean firehoseDrainableByClosing = isFirehoseDrainableByClosing(firehoseFactory);
        int sequenceNumber = 0;
        String sequenceName = makeSequenceName(getId(), sequenceNumber);
        final TransactionalSegmentPublisher publisher = (mustBeNullOrEmptyOverwriteSegments, mustBeNullOrEmptyDropSegments, segments, commitMetadata) -> {
            if (mustBeNullOrEmptyOverwriteSegments != null && !mustBeNullOrEmptyOverwriteSegments.isEmpty()) {
                throw new ISE("Stream ingestion task unexpectedly attempted to overwrite segments: %s", SegmentUtils.commaSeparatedIdentifiers(mustBeNullOrEmptyOverwriteSegments));
            }
            if (mustBeNullOrEmptyDropSegments != null && !mustBeNullOrEmptyDropSegments.isEmpty()) {
                throw new ISE("Stream ingestion task unexpectedly attempted to drop segments: %s", SegmentUtils.commaSeparatedIdentifiers(mustBeNullOrEmptyDropSegments));
            }
            final SegmentTransactionalInsertAction action = SegmentTransactionalInsertAction.appendAction(segments, null, null);
            return toolbox.getTaskActionClient().submit(action);
        };
        // Skip connecting firehose if we've been stopped before we got started.
        synchronized (this) {
            if (!gracefullyStopped) {
                firehose = firehoseFactory.connect(Preconditions.checkNotNull(spec.getDataSchema().getParser(), "inputRowParser"), toolbox.getIndexingTmpDir());
            }
        }
        ingestionState = IngestionState.BUILD_SEGMENTS;
        // Time to read data!
        while (!gracefullyStopped && firehoseDrainableByClosing && firehose.hasMore()) {
            try {
                InputRow inputRow = firehose.nextRow();
                if (inputRow == null) {
                    log.debug("Discarded null row, considering thrownAway.");
                    rowIngestionMeters.incrementThrownAway();
                } else {
                    AppenderatorDriverAddResult addResult = driver.add(inputRow, sequenceName, committerSupplier);
                    if (addResult.isOk()) {
                        final boolean isPushRequired = addResult.isPushRequired(tuningConfig.getPartitionsSpec().getMaxRowsPerSegment(), tuningConfig.getPartitionsSpec().getMaxTotalRowsOr(DynamicPartitionsSpec.DEFAULT_MAX_TOTAL_ROWS));
                        if (isPushRequired) {
                            publishSegments(driver, publisher, committerSupplier, sequenceName);
                            sequenceNumber++;
                            sequenceName = makeSequenceName(getId(), sequenceNumber);
                        }
                    } 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]", inputRow.getTimestamp());
                    }
                }
            } catch (ParseException e) {
                handleParseException(e);
            }
        }
        ingestionState = IngestionState.COMPLETED;
        if (!gracefullyStopped) {
            synchronized (this) {
                if (gracefullyStopped) {
                    // Someone called stopGracefully after we checked the flag. That's okay, just stop now.
                    log.info("Gracefully stopping.");
                } else {
                    finishingJob = true;
                }
            }
            if (finishingJob) {
                log.info("Finishing job...");
                // Publish any remaining segments
                publishSegments(driver, publisher, committerSupplier, sequenceName);
                waitForSegmentPublishAndHandoff(tuningConfig.getPublishAndHandoffTimeout());
            }
        } else if (firehose != null) {
            log.info("Task was gracefully stopped, will persist data before exiting");
            persistAndWait(driver, committerSupplier.get());
        }
    } catch (Throwable e) {
        log.makeAlert(e, "Exception aborted realtime processing[%s]", dataSchema.getDataSource()).emit();
        errorMsg = Throwables.getStackTraceAsString(e);
        toolbox.getTaskReportFileWriter().write(getId(), getTaskCompletionReports());
        return TaskStatus.failure(getId(), errorMsg);
    } finally {
        toolbox.getChatHandlerProvider().unregister(getId());
        CloseableUtils.closeAndSuppressExceptions(firehose, e -> log.warn("Failed to close Firehose"));
        appenderator.close();
        CloseableUtils.closeAndSuppressExceptions(driver, e -> log.warn("Failed to close AppenderatorDriver"));
        toolbox.removeMonitor(metricsMonitor);
        if (toolbox.getAppenderatorsManager().shouldTaskMakeNodeAnnouncements()) {
            toolbox.getDataSegmentServerAnnouncer().unannounce();
            toolbox.getDruidNodeAnnouncer().unannounce(discoveryDruidNode);
        }
    }
    log.info("Job done!");
    toolbox.getTaskReportFileWriter().write(getId(), getTaskCompletionReports());
    return TaskStatus.success(getId());
}
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Aggregations

JsonCreator (com.fasterxml.jackson.annotation.JsonCreator)2 JsonProperty (com.fasterxml.jackson.annotation.JsonProperty)2 Preconditions (com.google.common.base.Preconditions)2 Throwables (com.google.common.base.Throwables)2 ListenableFuture (com.google.common.util.concurrent.ListenableFuture)2 IOException (java.io.IOException)2 Collections (java.util.Collections)2 HashMap (java.util.HashMap)2 List (java.util.List)2 Map (java.util.Map)2 ExecutionException (java.util.concurrent.ExecutionException)2 TimeUnit (java.util.concurrent.TimeUnit)2 TimeoutException (java.util.concurrent.TimeoutException)2 HttpServletRequest (javax.servlet.http.HttpServletRequest)2 GET (javax.ws.rs.GET)2 Path (javax.ws.rs.Path)2 Produces (javax.ws.rs.Produces)2 Context (javax.ws.rs.core.Context)2 MediaType (javax.ws.rs.core.MediaType)2 Response (javax.ws.rs.core.Response)2