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https://issues.apache.org/jira/browse/SPARK-10548?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Shixiong Zhu resolved SPARK-10548.
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Resolution: Fixed
Target Version/s: 1.6.0, 1.5.1 (was: 1.5.1, 1.6.0)
In a second thought, I prefer to close this one and open a new JIRA to discuss
about how to make local properties work with ForkJoin thread pool since we may
not need to fix it
> Concurrent execution in SQL does not work
> -----------------------------------------
>
> Key: SPARK-10548
> URL: https://issues.apache.org/jira/browse/SPARK-10548
> Project: Spark
> Issue Type: Bug
> Components: SQL
> Affects Versions: 1.5.0
> Reporter: Andrew Or
> Assignee: Andrew Or
> Priority: Blocker
> Fix For: 1.6.0, 1.5.1
>
>
> From the mailing list:
> {code}
> future { df1.count() }
> future { df2.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}
> === edit ===
> Simple reproduction:
> {code}
> (1 to 100).par.foreach { _ =>
> sc.parallelize(1 to 5).map { i => (i, i) }.toDF("a", "b").count()
> }
> {code}
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