spark-issues mailing list archives

Site index · List index
Message view « Date » · « Thread »
Top « Date » · « Thread »
From "Saif Addin (JIRA)" <j...@apache.org>
Subject [jira] [Issue Comment Deleted] (SPARK-13747) Concurrent execution in SQL doesn't work with Scala ForkJoinPool
Date Mon, 08 May 2017 18:23:04 GMT

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

Saif Addin updated SPARK-13747:
-------------------------------
    Comment: was deleted

(was: I explicitly set it to default-executor and it is not failing any more for me)

> 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.



--
This message was sent by Atlassian JIRA
(v6.3.15#6346)

---------------------------------------------------------------------
To unsubscribe, e-mail: issues-unsubscribe@spark.apache.org
For additional commands, e-mail: issues-help@spark.apache.org


Mime
View raw message