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Date: Tue, 25 Apr 2017 21:05:04 +0000 (UTC)
From: "Shixiong Zhu (JIRA)" <jira@apache.org>
To: issues@spark.apache.org
Message-ID: <JIRA.12948114.1457464029000.48503.1493154304606@Atlassian.JIRA>
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Subject: [jira] [Reopened] (SPARK-13747) Concurrent execution in SQL doesn't
 work with Scala ForkJoinPool
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archived-at: Tue, 25 Apr 2017 21:05:09 -0000


     [ https://issues.apache.org/jira/browse/SPARK-13747?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Shixiong Zhu reopened SPARK-13747:
----------------------------------

> Concurrent execution in SQL doesn't work with Scala ForkJoinPool
> ----------------------------------------------------------------
>
>                 Key: SPARK-13747
>                 URL: https://issues.apache.org/jira/browse/SPARK-13747
>             Project: Spark
>          Issue Type: Bug
>          Components: SQL
>    Affects Versions: 2.0.0, 2.0.1
>            Reporter: Shixiong Zhu
>            Assignee: Shixiong Zhu
>
> Run the following codes may fail
> {code}
> (1 to 100).par.foreach { _ =>
>   println(sc.parallelize(1 to 5).map { i => (i, i) }.toDF("a", "b").count())
> }
> java.lang.IllegalArgumentException: spark.sql.execution.id is already set 
>         at org.apache.spark.sql.execution.SQLExecution$.withNewExecutionId(SQLExecution.scala:87) 
>         at org.apache.spark.sql.DataFrame.withNewExecutionId(DataFrame.scala:1904) 
>         at org.apache.spark.sql.DataFrame.collect(DataFrame.scala:1385) 
> {code}
> This is because SparkContext.runJob can be suspended when using a ForkJoinPool (e.g.,scala.concurrent.ExecutionContext.Implicits.global) as it calls Await.ready (introduced by https://github.com/apache/spark/pull/9264).
> So when SparkContext.runJob is suspended, ForkJoinPool will run another task in the same thread, however, the local properties has been polluted.


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