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Example 1 with SparkStreamingTranslationContext

use of org.apache.beam.runners.spark.translation.SparkStreamingTranslationContext in project beam by apache.

the class SparkPipelineRunner method run.

@Override
public PortablePipelineResult run(RunnerApi.Pipeline pipeline, JobInfo jobInfo) {
    SparkPortablePipelineTranslator translator;
    boolean isStreaming = pipelineOptions.isStreaming() || hasUnboundedPCollections(pipeline);
    if (isStreaming) {
        translator = new SparkStreamingPortablePipelineTranslator();
    } else {
        translator = new SparkBatchPortablePipelineTranslator();
    }
    // Expand any splittable DoFns within the graph to enable sizing and splitting of bundles.
    Pipeline pipelineWithSdfExpanded = ProtoOverrides.updateTransform(PTransformTranslation.PAR_DO_TRANSFORM_URN, pipeline, SplittableParDoExpander.createSizedReplacement());
    // Don't let the fuser fuse any subcomponents of native transforms.
    Pipeline trimmedPipeline = TrivialNativeTransformExpander.forKnownUrns(pipelineWithSdfExpanded, translator.knownUrns());
    // Fused pipeline proto.
    // TODO: Consider supporting partially-fused graphs.
    RunnerApi.Pipeline fusedPipeline = trimmedPipeline.getComponents().getTransformsMap().values().stream().anyMatch(proto -> ExecutableStage.URN.equals(proto.getSpec().getUrn())) ? trimmedPipeline : GreedyPipelineFuser.fuse(trimmedPipeline).toPipeline();
    prepareFilesToStage(pipelineOptions);
    PortablePipelineResult result;
    final JavaSparkContext jsc = SparkContextFactory.getSparkContext(pipelineOptions);
    final long startTime = Instant.now().getMillis();
    EventLoggingListener eventLoggingListener = startEventLoggingListener(jsc, pipelineOptions, startTime);
    // Initialize accumulators.
    AggregatorsAccumulator.init(pipelineOptions, jsc);
    MetricsEnvironment.setMetricsSupported(true);
    MetricsAccumulator.init(pipelineOptions, jsc);
    final SparkTranslationContext context = translator.createTranslationContext(jsc, pipelineOptions, jobInfo);
    final ExecutorService executorService = Executors.newSingleThreadExecutor();
    LOG.info(String.format("Running job %s on Spark master %s", jobInfo.jobId(), jsc.master()));
    if (isStreaming) {
        final JavaStreamingContext jssc = ((SparkStreamingTranslationContext) context).getStreamingContext();
        jssc.addStreamingListener(new JavaStreamingListenerWrapper(new AggregatorsAccumulator.AccumulatorCheckpointingSparkListener()));
        jssc.addStreamingListener(new JavaStreamingListenerWrapper(new MetricsAccumulator.AccumulatorCheckpointingSparkListener()));
        // Register user-defined listeners.
        for (JavaStreamingListener listener : pipelineOptions.as(SparkContextOptions.class).getListeners()) {
            LOG.info("Registered listener {}." + listener.getClass().getSimpleName());
            jssc.addStreamingListener(new JavaStreamingListenerWrapper(listener));
        }
        // Register Watermarks listener to broadcast the advanced WMs.
        jssc.addStreamingListener(new JavaStreamingListenerWrapper(new GlobalWatermarkHolder.WatermarkAdvancingStreamingListener()));
        jssc.checkpoint(pipelineOptions.getCheckpointDir());
        // Obtain timeout from options.
        Long timeout = pipelineOptions.as(SparkPortableStreamingPipelineOptions.class).getStreamingTimeoutMs();
        final Future<?> submissionFuture = executorService.submit(() -> {
            translator.translate(fusedPipeline, context);
            LOG.info(String.format("Job %s: Pipeline translated successfully. Computing outputs", jobInfo.jobId()));
            context.computeOutputs();
            jssc.start();
            try {
                jssc.awaitTerminationOrTimeout(timeout);
            } catch (InterruptedException e) {
                LOG.warn("Streaming context interrupted, shutting down.", e);
            }
            jssc.stop();
            LOG.info(String.format("Job %s finished.", jobInfo.jobId()));
        });
        result = new SparkPipelineResult.PortableStreamingMode(submissionFuture, jssc);
    } else {
        final Future<?> submissionFuture = executorService.submit(() -> {
            translator.translate(fusedPipeline, context);
            LOG.info(String.format("Job %s: Pipeline translated successfully. Computing outputs", jobInfo.jobId()));
            context.computeOutputs();
            LOG.info(String.format("Job %s finished.", jobInfo.jobId()));
        });
        result = new SparkPipelineResult.PortableBatchMode(submissionFuture, jsc);
    }
    executorService.shutdown();
    result.waitUntilFinish();
    MetricsPusher metricsPusher = new MetricsPusher(MetricsAccumulator.getInstance().value(), pipelineOptions.as(MetricsOptions.class), result);
    metricsPusher.start();
    if (eventLoggingListener != null) {
        eventLoggingListener.onApplicationStart(SparkCompat.buildSparkListenerApplicationStart(jsc, pipelineOptions, startTime, result));
        eventLoggingListener.onApplicationEnd(new SparkListenerApplicationEnd(Instant.now().getMillis()));
        eventLoggingListener.stop();
    }
    return result;
}
Also used : MetricsAccumulator(org.apache.beam.runners.spark.metrics.MetricsAccumulator) ArtifactApi(org.apache.beam.model.jobmanagement.v1.ArtifactApi) LoggerFactory(org.slf4j.LoggerFactory) GreedyPipelineFuser(org.apache.beam.runners.core.construction.graph.GreedyPipelineFuser) PortablePipelineRunner(org.apache.beam.runners.jobsubmission.PortablePipelineRunner) SparkCompat(org.apache.beam.runners.spark.util.SparkCompat) Future(java.util.concurrent.Future) JobInfo(org.apache.beam.runners.fnexecution.provisioning.JobInfo) SparkListenerApplicationEnd(org.apache.spark.scheduler.SparkListenerApplicationEnd) SparkStreamingPortablePipelineTranslator(org.apache.beam.runners.spark.translation.SparkStreamingPortablePipelineTranslator) CmdLineParser(org.kohsuke.args4j.CmdLineParser) PTransformTranslation(org.apache.beam.runners.core.construction.PTransformTranslation) SparkPortablePipelineTranslator(org.apache.beam.runners.spark.translation.SparkPortablePipelineTranslator) Struct(org.apache.beam.vendor.grpc.v1p43p2.com.google.protobuf.Struct) UUID(java.util.UUID) TrivialNativeTransformExpander(org.apache.beam.runners.core.construction.graph.TrivialNativeTransformExpander) Option(org.kohsuke.args4j.Option) ExecutableStage(org.apache.beam.runners.core.construction.graph.ExecutableStage) Executors(java.util.concurrent.Executors) MetricsPusher(org.apache.beam.runners.core.metrics.MetricsPusher) CmdLineException(org.kohsuke.args4j.CmdLineException) ProtoOverrides(org.apache.beam.runners.core.construction.graph.ProtoOverrides) AggregatorsAccumulator(org.apache.beam.runners.spark.aggregators.AggregatorsAccumulator) JavaStreamingContext(org.apache.spark.streaming.api.java.JavaStreamingContext) JavaSparkContext(org.apache.spark.api.java.JavaSparkContext) PipelineOptionsTranslation(org.apache.beam.runners.core.construction.PipelineOptionsTranslation) PipelineOptionsFactory(org.apache.beam.sdk.options.PipelineOptionsFactory) SparkCommon.startEventLoggingListener(org.apache.beam.runners.spark.util.SparkCommon.startEventLoggingListener) SparkBatchPortablePipelineTranslator(org.apache.beam.runners.spark.translation.SparkBatchPortablePipelineTranslator) PortablePipelineResult(org.apache.beam.runners.jobsubmission.PortablePipelineResult) SparkTranslationContext(org.apache.beam.runners.spark.translation.SparkTranslationContext) PipelineTranslatorUtils.hasUnboundedPCollections(org.apache.beam.runners.fnexecution.translation.PipelineTranslatorUtils.hasUnboundedPCollections) GlobalWatermarkHolder(org.apache.beam.runners.spark.util.GlobalWatermarkHolder) JavaStreamingListenerWrapper(org.apache.spark.streaming.api.java.JavaStreamingListenerWrapper) ExecutorService(java.util.concurrent.ExecutorService) RunnerApi(org.apache.beam.model.pipeline.v1.RunnerApi) JavaStreamingListener(org.apache.spark.streaming.api.java.JavaStreamingListener) Logger(org.slf4j.Logger) 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Aggregations

Nullable (edu.umd.cs.findbugs.annotations.Nullable)1 UUID (java.util.UUID)1 ExecutorService (java.util.concurrent.ExecutorService)1 Executors (java.util.concurrent.Executors)1 Future (java.util.concurrent.Future)1 ArtifactApi (org.apache.beam.model.jobmanagement.v1.ArtifactApi)1 RunnerApi (org.apache.beam.model.pipeline.v1.RunnerApi)1 Pipeline (org.apache.beam.model.pipeline.v1.RunnerApi.Pipeline)1 PTransformTranslation (org.apache.beam.runners.core.construction.PTransformTranslation)1 PipelineOptionsTranslation (org.apache.beam.runners.core.construction.PipelineOptionsTranslation)1 ExecutableStage (org.apache.beam.runners.core.construction.graph.ExecutableStage)1 GreedyPipelineFuser (org.apache.beam.runners.core.construction.graph.GreedyPipelineFuser)1 ProtoOverrides (org.apache.beam.runners.core.construction.graph.ProtoOverrides)1 SplittableParDoExpander (org.apache.beam.runners.core.construction.graph.SplittableParDoExpander)1 TrivialNativeTransformExpander (org.apache.beam.runners.core.construction.graph.TrivialNativeTransformExpander)1 MetricsPusher (org.apache.beam.runners.core.metrics.MetricsPusher)1 JobInfo (org.apache.beam.runners.fnexecution.provisioning.JobInfo)1 PipelineTranslatorUtils.hasUnboundedPCollections (org.apache.beam.runners.fnexecution.translation.PipelineTranslatorUtils.hasUnboundedPCollections)1 PortablePipelineJarUtils (org.apache.beam.runners.jobsubmission.PortablePipelineJarUtils)1 PortablePipelineResult (org.apache.beam.runners.jobsubmission.PortablePipelineResult)1