[ https://issues.apache.org/jira/browse/SPARK-12472?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15067413#comment-15067413 ]
Davies Liu commented on SPARK-12472: ------------------------------------ could be workarounded by decreasing the memory used by both Spark and Parquet using spark.memory.fraction (for example, 0.4) and parquet.memory.pool.ratio (for example, 0.3, in core-site.xml) > OOM when sort a table and save as parquet > ----------------------------------------- > > Key: SPARK-12472 > URL: https://issues.apache.org/jira/browse/SPARK-12472 > Project: Spark > Issue Type: Bug > Reporter: Davies Liu > > {code} > t = sqlContext.table('store_sales') > t.unionAll(t).coalesce(2).sortWithinPartitions(t[0]).write.partitionBy('ss_sold_date_sk').parquet("/tmp/ttt") > {code} > {code} > 15/12/21 14:35:52 WARN TaskSetManager: Lost task 1.0 in stage 25.0 (TID 96, > 192.168.0.143): java.lang.OutOfMemoryError: Java heap space > at > org.apache.spark.util.collection.unsafe.sort.UnsafeSortDataFormat.allocate(UnsafeSortDataFormat.java:86) > 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:226) > at > org.apache.spark.util.collection.unsafe.sort.UnsafeExternalSorter.spill(UnsafeExternalSorter.java:187) > at > org.apache.spark.memory.TaskMemoryManager.acquireExecutionMemory(TaskMemoryManager.java:170) > at > org.apache.spark.memory.TaskMemoryManager.allocatePage(TaskMemoryManager.java:244) > at > org.apache.spark.memory.MemoryConsumer.allocatePage(MemoryConsumer.java:112) > at > org.apache.spark.util.collection.unsafe.sort.UnsafeExternalSorter.acquireNewPageIfNecessary(UnsafeExternalSorter.java:327) > at > org.apache.spark.util.collection.unsafe.sort.UnsafeExternalSorter.insertRecord(UnsafeExternalSorter.java:342) > at > org.apache.spark.sql.execution.UnsafeExternalRowSorter.insertRow(UnsafeExternalRowSorter.java:91) > at > org.apache.spark.sql.execution.UnsafeExternalRowSorter.sort(UnsafeExternalRowSorter.java:168) > at org.apache.spark.sql.execution.Sort$$anonfun$1.apply(Sort.scala:90) > at org.apache.spark.sql.execution.Sort$$anonfun$1.apply(Sort.scala:64) > 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$21.apply(RDD.scala:728) > at > org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:38) > at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:306) > at org.apache.spark.rdd.RDD.iterator(RDD.scala:270) > at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:66) > at org.apache.spark.scheduler.Task.run(Task.scala:88) > at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:213) > 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 (v6.3.4#6332) --------------------------------------------------------------------- To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org For additional commands, e-mail: issues-h...@spark.apache.org