[ https://issues.apache.org/jira/browse/SPARK-13747?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Shixiong Zhu updated SPARK-13747: --------------------------------- Description: 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$.withNewExecutionId(SQLExecution.scala:87) at org.apache.spark.sql.DataFrame.withNewExecutionId(DataFrame.scala:1904) at org.apache.spark.sql.DataFrame.collect(DataFrame.scala:1385) {code} This is because SparkContext.runJob can be suspended when using a ForkJoinPool (e.g.,scala.concurrent.ExecutionContext.Implicits.global) as it calls Await.ready (introduced by https://github.com/apache/spark/pull/9264). So when SparkContext.runJob is suspended, ForkJoinPool will run another task in the same thread, however, the local properties has been polluted. was: Run the following codes may fail {code} (1 to 100).par.foreach { _ => println(sc.parallelize(1 to 5).map { i => (i, i) }.toDF("a", "b").count()) } java.lang.IllegalArgumentException: spark.sql.execution.id is already set at org.apache.spark.sql.execution.SQLExecution$.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. So when SparkContext.runJob is suspended, ForkJoinPool will run another task in the same thread, however, the local properties has been polluted. > 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 > Reporter: 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 (v6.3.4#6332) --------------------------------------------------------------------- To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org For additional commands, e-mail: issues-h...@spark.apache.org