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Michael Smith commented on SPARK-13210: --------------------------------------- I also saw this in a run on Spark 2.1.1. Same stack trace as in David Whorter's comment from May 10. It's not consistent though - I got an OutOfMemoryError in another attempt: {code} java.lang.OutOfMemoryError: Unable to acquire 16384 bytes of memory, got 0 at org.apache.spark.memory.MemoryConsumer.allocateArray(MemoryConsumer.java:100) at org.apache.spark.util.collection.unsafe.sort.UnsafeInMemorySorter.<init>(UnsafeInMemorySorter.java:126) at org.apache.spark.util.collection.unsafe.sort.UnsafeExternalSorter.<init>(UnsafeExternalSorter.java:154) at org.apache.spark.util.collection.unsafe.sort.UnsafeExternalSorter.create(UnsafeExternalSorter.java:121) at org.apache.spark.sql.execution.window.WindowExec$$anonfun$14$$anon$1.fetchNextPartition(WindowExec.scala:340) at org.apache.spark.sql.execution.window.WindowExec$$anonfun$14$$anon$1.next(WindowExec.scala:391) at org.apache.spark.sql.execution.window.WindowExec$$anonfun$14$$anon$1.next(WindowExec.scala:290) at org.apache.spark.sql.catalyst.expressions.GeneratedClass$GeneratedIterator.processNext(Unknown Source) at org.apache.spark.sql.execution.BufferedRowIterator.hasNext(BufferedRowIterator.java:43) at org.apache.spark.sql.execution.WholeStageCodegenExec$$anonfun$8$$anon$1.hasNext(WholeStageCodegenExec.scala:377) at org.apache.spark.sql.execution.window.WindowExec$$anonfun$14$$anon$1.fetchNextRow(WindowExec.scala:301) at org.apache.spark.sql.execution.window.WindowExec$$anonfun$14$$anon$1.<init>(WindowExec.scala:310) at org.apache.spark.sql.execution.window.WindowExec$$anonfun$14.apply(WindowExec.scala:290) {code} > NPE in Sort > ----------- > > Key: SPARK-13210 > URL: https://issues.apache.org/jira/browse/SPARK-13210 > Project: Spark > Issue Type: Bug > Components: SQL > Affects Versions: 1.6.0, 2.0.0 > Reporter: Davies Liu > Assignee: Davies Liu > Priority: Critical > Fix For: 1.6.1, 2.0.0 > > > When run TPCDS query Q78 with scale 10: > {code} > 16/02/04 22:39:09 ERROR Executor: Managed memory leak detected; size = > 268435456 bytes, TID = 143 > 16/02/04 22:39:09 ERROR Executor: Exception in task 0.0 in stage 47.0 (TID > 143) > java.lang.NullPointerException > at > org.apache.spark.memory.TaskMemoryManager.getPage(TaskMemoryManager.java:333) > at > org.apache.spark.util.collection.unsafe.sort.UnsafeInMemorySorter$SortComparator.compare(UnsafeInMemorySorter.java:60) > at > org.apache.spark.util.collection.unsafe.sort.UnsafeInMemorySorter$SortComparator.compare(UnsafeInMemorySorter.java:39) > at > org.apache.spark.util.collection.TimSort.countRunAndMakeAscending(TimSort.java:270) > at org.apache.spark.util.collection.TimSort.sort(TimSort.java:142) > at org.apache.spark.util.collection.Sorter.sort(Sorter.scala:37) > at > org.apache.spark.util.collection.unsafe.sort.UnsafeInMemorySorter.getSortedIterator(UnsafeInMemorySorter.java:239) > at > org.apache.spark.util.collection.unsafe.sort.UnsafeExternalSorter.getSortedIterator(UnsafeExternalSorter.java:415) > at > org.apache.spark.sql.execution.UnsafeExternalRowSorter.sort(UnsafeExternalRowSorter.java:116) > at > org.apache.spark.sql.execution.UnsafeExternalRowSorter.sort(UnsafeExternalRowSorter.java:168) > at org.apache.spark.sql.execution.Sort$$anonfun$1.apply(Sort.scala:87) > at org.apache.spark.sql.execution.Sort$$anonfun$1.apply(Sort.scala:60) > at > org.apache.spark.rdd.RDD$$anonfun$mapPartitionsInternal$1$$anonfun$apply$23.apply(RDD.scala:735) > at > org.apache.spark.rdd.RDD$$anonfun$mapPartitionsInternal$1$$anonfun$apply$23.apply(RDD.scala:735) > at > org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:38) > at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:313) > at org.apache.spark.rdd.RDD.iterator(RDD.scala:277) > at > org.apache.spark.rdd.ZippedPartitionsRDD2.compute(ZippedPartitionsRDD.scala:88) > at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:313) > at org.apache.spark.rdd.RDD.iterator(RDD.scala:277) > at > org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:38) > at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:313) > at org.apache.spark.rdd.RDD.iterator(RDD.scala:277) > at > org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:38) > at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:313) > at org.apache.spark.rdd.RDD.iterator(RDD.scala:277) > at > org.apache.spark.scheduler.ShuffleMapTask.runTask(ShuffleMapTask.scala:77) > at > org.apache.spark.scheduler.ShuffleMapTask.runTask(ShuffleMapTask.scala:45) > at org.apache.spark.scheduler.Task.run(Task.scala:81) > at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:214) > at > java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1145) > at > java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:615) > at java.lang.Thread.run(Thread.java:745) > {code} -- This message was sent by Atlassian JIRA (v6.4.14#64029) --------------------------------------------------------------------- To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org For additional commands, e-mail: issues-h...@spark.apache.org