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https://issues.apache.org/jira/browse/CRUNCH-566?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]
Nithin Asokan updated CRUNCH-566:
---------------------------------
Summary: SparkPipeline done() should wait for all jobs to complete before
closing SparkContext (was: SparkPipeline done() should wait for all jobs to
complete)
> SparkPipeline done() should wait for all jobs to complete before closing
> SparkContext
> -------------------------------------------------------------------------------------
>
> Key: CRUNCH-566
> URL: https://issues.apache.org/jira/browse/CRUNCH-566
> Project: Crunch
> Issue Type: Bug
> Components: Spark
> Affects Versions: 0.12.0
> Reporter: Nithin Asokan
>
> {{SparkPipeline#done()}} should consider waiting for all Spark jobs to
> complete before shutting down a {{SparkContext}}.
> Here is an example that fails
> {code}
> Pipeline pipeline = new SparkPipeline(sparkConnect, "ParallelAction",
> getClass(), getConf());
> IdentityFn<Student> fn = IdentityFn.getInstance();
> pipeline.read(From.avroFile(input1, Student.class)).parallelDo(fn,
> Avros.records(Student.class)).write(To.avroFile(args[3]));
> pipeline.runAsync();
> pipeline.read(From.avroFile(input2, Student.class)).parallelDo(fn,
> Avros.records(Student.class)).write(To.avroFile(args[4]));
> pipeline.done();
> {code}
> Error:
> {code}
> [2015-09-30 15:18:55,835] [ERROR] [Thread-37]
> [org.apache.crunch.impl.spark.SparkRuntime] - Spark Exception
> org.apache.spark.SparkException: Job cancelled because SparkContext was shut
> down
> at
> org.apache.spark.scheduler.DAGScheduler$$anonfun$cleanUpAfterSchedulerStop$1.apply(DAGScheduler.scala:699)
> at
> org.apache.spark.scheduler.DAGScheduler$$anonfun$cleanUpAfterSchedulerStop$1.apply(DAGScheduler.scala:698)
> at scala.collection.mutable.HashSet.foreach(HashSet.scala:79)
> at
> org.apache.spark.scheduler.DAGScheduler.cleanUpAfterSchedulerStop(DAGScheduler.scala:698)
> at
> org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.onStop(DAGScheduler.scala:1411)
> at org.apache.spark.util.EventLoop.stop(EventLoop.scala:81)
> at org.apache.spark.scheduler.DAGScheduler.stop(DAGScheduler.scala:1346)
> at org.apache.spark.SparkContext.stop(SparkContext.scala:1386)
> at
> org.apache.spark.api.java.JavaSparkContext.stop(JavaSparkContext.scala:652)
> at org.apache.crunch.impl.spark.SparkPipeline.done(SparkPipeline.java:178)
> at com.test.ParallelAction.run(ParallelAction.java:47)
> at org.apache.hadoop.util.ToolRunner.run(ToolRunner.java:70)
> at org.apache.hadoop.util.ToolRunner.run(ToolRunner.java:84)
> at com.test.ParallelAction.main(ParallelAction.java:53)
> at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
> at
> sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:62)
> at
> sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
> at java.lang.reflect.Method.invoke(Method.java:497)
> at
> org.apache.spark.deploy.SparkSubmit$.org$apache$spark$deploy$SparkSubmit$$runMain(SparkSubmit.scala:569)
> at org.apache.spark.deploy.SparkSubmit$.doRunMain$1(SparkSubmit.scala:166)
> at org.apache.spark.deploy.SparkSubmit$.submit(SparkSubmit.scala:189)
> at org.apache.spark.deploy.SparkSubmit$.main(SparkSubmit.scala:110)
> at org.apache.spark.deploy.SparkSubmit.main(SparkSubmit.scala)
> {code}
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