[
https://issues.apache.org/jira/browse/SPARK-15332?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]
Sean Owen resolved SPARK-15332.
-------------------------------
Resolution: Duplicate
> OutOfMemory in TimSort
> -----------------------
>
> Key: SPARK-15332
> URL: https://issues.apache.org/jira/browse/SPARK-15332
> Project: Spark
> Issue Type: Bug
> Components: Spark Core
> Affects Versions: 1.6.1, 2.0.0
> Reporter: Davies Liu
> Assignee: Davies Liu
>
> {code}
> py4j.protocol.Py4JJavaError: An error occurred while calling
> o154.collectToPython.
> : org.apache.spark.SparkException: Job aborted due to stage failure: Task 1
> in stage 230.0 failed 1 times, most recent failure: Lost task 1.0 in stage
> 230.0 (TID 1881, localhost): java.lang.OutOfMemoryError: Java heap space
> at
> org.apache.spark.util.collection.unsafe.sort.UnsafeSortDataFormat.allocate(UnsafeSortDataFormat.java:88)
> at
> org.apache.spark.util.collection.unsafe.sort.UnsafeSortDataFormat.allocate(UnsafeSortDataFormat.java:32)
> at
> org.apache.spark.util.collection.TimSort$SortState.ensureCapacity(TimSort.java:951)
> at
> org.apache.spark.util.collection.TimSort$SortState.mergeLo(TimSort.java:699)
> at
> org.apache.spark.util.collection.TimSort$SortState.mergeAt(TimSort.java:525)
> at
> org.apache.spark.util.collection.TimSort$SortState.mergeCollapse(TimSort.java:453)
> at
> org.apache.spark.util.collection.TimSort$SortState.access$200(TimSort.java:325)
> at org.apache.spark.util.collection.TimSort.sort(TimSort.java:153)
> at org.apache.spark.util.collection.Sorter.sort(Sorter.scala:37)
> at
> org.apache.spark.util.collection.unsafe.sort.UnsafeInMemorySorter.getSortedIterator(UnsafeInMemorySorter.java:285)
> at
> org.apache.spark.util.collection.unsafe.sort.UnsafeExternalSorter.spill(UnsafeExternalSorter.java:199)
> at
> org.apache.spark.memory.TaskMemoryManager.acquireExecutionMemory(TaskMemoryManager.java:175)
> at
> org.apache.spark.memory.TaskMemoryManager.allocatePage(TaskMemoryManager.java:249)
> at
> org.apache.spark.memory.MemoryConsumer.allocatePage(MemoryConsumer.java:112)
> at
> org.apache.spark.util.collection.unsafe.sort.UnsafeExternalSorter.acquireNewPageIfNecessary(UnsafeExternalSorter.java:363)
> at
> org.apache.spark.util.collection.unsafe.sort.UnsafeExternalSorter.insertRecord(UnsafeExternalSorter.java:378)
> at
> org.apache.spark.sql.execution.UnsafeExternalRowSorter.insertRow(UnsafeExternalRowSorter.java:92)
> at
> org.apache.spark.sql.catalyst.expressions.GeneratedClass$GeneratedIterator.sort_addToSorter$(Unknown
> Source)
> at
> org.apache.spark.sql.catalyst.expressions.GeneratedClass$GeneratedIterator.processNext(Unknown
> Source)
> at
> org.apache.spark.sql.execution.BufferedRowIterator.hasNext(BufferedRowIterator.java:43)
> at
> org.apache.spark.sql.execution.WholeStageCodegenExec$$anonfun$7$$anon$1.hasNext(WholeStageCodegenExec.scala:357)
> at
> org.apache.spark.sql.execution.RowIteratorFromScala.advanceNext(RowIterator.scala:83)
> at
> org.apache.spark.sql.execution.joins.SortMergeJoinScanner.advancedBufferedToRowWithNullFreeJoinKey(SortMergeJoinExec.scala:736)
> at
> org.apache.spark.sql.execution.joins.SortMergeJoinScanner.<init>(SortMergeJoinExec.scala:611)
> at
> org.apache.spark.sql.execution.joins.SortMergeJoinExec$$anonfun$doExecute$1$$anon$2.<init>(SortMergeJoinExec.scala:206)
> at
> org.apache.spark.sql.execution.joins.SortMergeJoinExec$$anonfun$doExecute$1.apply(SortMergeJoinExec.scala:204)
> at
> org.apache.spark.sql.execution.joins.SortMergeJoinExec$$anonfun$doExecute$1.apply(SortMergeJoinExec.scala:100)
> at
> org.apache.spark.rdd.ZippedPartitionsRDD2.compute(ZippedPartitionsRDD.scala:89)
> at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:318)
> at org.apache.spark.rdd.RDD.iterator(RDD.scala:282)
> at
> org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:38)
> at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:318)
> {code}
--
This message was sent by Atlassian JIRA
(v6.3.4#6332)
---------------------------------------------------------------------
To unsubscribe, e-mail: [email protected]
For additional commands, e-mail: [email protected]
