You are viewing a plain text version of this content. The canonical link for it is here.
Posted to issues@spark.apache.org by "Ian (JIRA)" <ji...@apache.org> on 2017/02/05 10:22:41 UTC
[jira] [Updated] (SPARK-19462) when spark.sql.adaptive.enabled is
enabled, RDD is not resilient to node container failure
[ https://issues.apache.org/jira/browse/SPARK-19462?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Ian updated SPARK-19462:
------------------------
Summary: when spark.sql.adaptive.enabled is enabled, RDD is not resilient to node container failure (was: when spark.sql.adaptive.enabled is enabled RDD is not resilient to node container failure)
> when spark.sql.adaptive.enabled is enabled, RDD is not resilient to node container failure
> ------------------------------------------------------------------------------------------
>
> Key: SPARK-19462
> URL: https://issues.apache.org/jira/browse/SPARK-19462
> Project: Spark
> Issue Type: Bug
> Components: SQL
> Affects Versions: 1.6.3
> Reporter: Ian
>
> property spark.sql.adaptive.enabled needs to be set "true"
> reproducible steps using spark-shell
> 0. we use yarn as cluster manager, spark-shell runs in client mode
> 1. launch spark-shell
> 2.
> {code}
> val df1 = sc.parallelize( 1 to 1000, 2).toDF("number")
> df1.registerTempTable("test")
> val data1 = sqlContext.sql("SELECT * FROM test WHERE number > 50")
> data1.collect
> val data2 = sqlContext.sql("SELECT number, count(*) cnt FROM test GROUP BY number")
> data2.collect
> // everything is fine up to this point
> // manually kill all both the AM and all the NM of the spark-shell app
> // rerun data1.collect the result is returned successfully
> data1.collect
> // but data2.collect will fail
> data2.collect
> // stacktrace
> Caused by: java.lang.RuntimeException: Exchange not implemented for UnknownPartitioning(1)
> at scala.sys.package$.error(package.scala:27)
> at org.apache.spark.sql.execution.Exchange.org$apache$spark$sql$execution$Exchange$$getPartitionKeyExtractor$1(Exchange.scala:198)
> at org.apache.spark.sql.execution.Exchange$$anonfun$3.apply(Exchange.scala:208)
> at org.apache.spark.sql.execution.Exchange$$anonfun$3.apply(Exchange.scala:207)
> at org.apache.spark.rdd.RDD$$anonfun$mapPartitionsInternal$1$$anonfun$apply$21.apply(RDD.scala:728)
> at org.apache.spark.rdd.RDD$$anonfun$mapPartitionsInternal$1$$anonfun$apply$21.apply(RDD.scala:728)
> at org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:38)
> at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:306)
> at org.apache.spark.rdd.RDD.iterator(RDD.scala:270)
> at org.apache.spark.scheduler.ShuffleMapTask.runTask(ShuffleMapTask.scala:73)
> at org.apache.spark.scheduler.ShuffleMapTask.runTask(ShuffleMapTask.scala:41)
> at org.apache.spark.scheduler.Task.run(Task.scala:89)
> at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:227)
> at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1142)
> at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:617)
> at java.lang.Thread.run(Thread.java:745)
> {code}
--
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