org.apache.beam.runners.spark

Class TestSparkRunner

java.lang.Object

org.apache.beam.sdk.PipelineRunner<SparkPipelineResult>

org.apache.beam.runners.spark.TestSparkRunner

public final class TestSparkRunner
extends PipelineRunner<SparkPipelineResult>

The SparkRunner translate operations defined on a pipeline to a representation executable by Spark, and then submitting the job to Spark to be executed. If we wanted to run a Beam pipeline with the default options of a single threaded spark instance in local mode, we would do the following: Pipeline p = [logic for pipeline creation] SparkPipelineResult result = (SparkPipelineResult) p.run();

To create a pipeline runner to run against a different spark cluster, with a custom master url we would do the following: Pipeline p = [logic for pipeline creation] SparkPipelineOptions options = SparkPipelineOptionsFactory.create(); options.setSparkMaster("spark://host:port"); SparkPipelineResult result = (SparkPipelineResult) p.run();

Method Summary

Modifier and Type	Method and Description
static TestSparkRunner	fromOptions(PipelineOptions options)
SparkPipelineResult	run(Pipeline pipeline)

Methods inherited from class java.lang.Object

clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

Method Detail

fromOptions

public static TestSparkRunner fromOptions(PipelineOptions options)

run

public SparkPipelineResult run(Pipeline pipeline)

Specified by:

run in class PipelineRunner<SparkPipelineResult>