Ian created SPARK-19462: --------------------------- Summary: 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 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 return 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-unsubscr...@spark.apache.org For additional commands, e-mail: issues-h...@spark.apache.org