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From "Nithin Asokan (JIRA)" <j...@apache.org>
Subject [jira] [Updated] (CRUNCH-566) SparkPipeline done() should wait for all jobs to complete before closing SparkContext
Date Wed, 30 Sep 2015 21:08:04 GMT

     [ https://issues.apache.org/jira/browse/CRUNCH-566?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]

Nithin Asokan updated CRUNCH-566:
---------------------------------
    Description: 
Logged this based on discussion on user-list [here|http://mail-archives.apache.org/mod_mbox/crunch-user/201509.mbox/%3CCADH-_NJvDWZgNpZxyzDUxqgDaLUhSxCkoRuU47wVzS4RfZnRYQ%40mail.gmail.com%3E]

{{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}

  was:
{{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}


> 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
>
> Logged this based on discussion on user-list [here|http://mail-archives.apache.org/mod_mbox/crunch-user/201509.mbox/%3CCADH-_NJvDWZgNpZxyzDUxqgDaLUhSxCkoRuU47wVzS4RfZnRYQ%40mail.gmail.com%3E]
> {{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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