Nithin Asokan created CRUNCH-566: ------------------------------------ Summary: SparkPipeline done() should wait for all jobs to complete 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} -- This message was sent by Atlassian JIRA (v6.3.4#6332)