cen yuhai created SPARK-17450:
---------------------------------
Summary: spark sql rownumber OOM
Key: SPARK-17450
URL: https://issues.apache.org/jira/browse/SPARK-17450
Project: Spark
Issue Type: Bug
Components: SQL
Affects Versions: 1.6.2
Reporter: cen yuhai
${code}
java.lang.OutOfMemoryError: Java heap space
at
org.apache.spark.sql.catalyst.expressions.UnsafeRow.copy(UnsafeRow.java:536)
at
org.apache.spark.sql.catalyst.expressions.UnsafeRow.copy(UnsafeRow.java:93)
at
org.apache.spark.sql.execution.Window$$anonfun$8$$anon$1.fetchNextPartition(Window.scala:278)
at
org.apache.spark.sql.execution.Window$$anonfun$8$$anon$1.next(Window.scala:304)
at
org.apache.spark.sql.execution.Window$$anonfun$8$$anon$1.next(Window.scala:246)
at scala.collection.Iterator$$anon$11.next(Iterator.scala:328)
at
org.apache.spark.sql.execution.aggregate.TungstenAggregationIterator.processInputs(TungstenAggregationIterator.scala:512)
at
org.apache.spark.sql.execution.aggregate.TungstenAggregationIterator.<init>(TungstenAggregationIterator.scala:686)
at
org.apache.spark.sql.execution.aggregate.TungstenAggregate$$anonfun$doExecute$1$$anonfun$2.apply(TungstenAggregate.scala:95)
at
org.apache.spark.sql.execution.aggregate.TungstenAggregate$$anonfun$doExecute$1$$anonfun$2.apply(TungstenAggregate.scala:86)
at
org.apache.spark.rdd.RDD$$anonfun$mapPartitions$1$$anonfun$apply$20.apply(RDD.scala:710)
at
org.apache.spark.rdd.RDD$$anonfun$mapPartitions$1$$anonfun$apply$20.apply(RDD.scala:710)
at
org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:38)
at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:306)
at org.apache.spark.rdd.RDD.iterator(RDD.scala:270)
at
org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:38)
at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:306)
at org.apache.spark.rdd.RDD.iterator(RDD.scala:270)
at
org.apache.spark.scheduler.ShuffleMapTask.runTask(ShuffleMapTask.scala:74)
at
org.apache.spark.scheduler.ShuffleMapTask.runTask(ShuffleMapTask.scala:41)
at org.apache.spark.scheduler.Task.run(Task.scala:104)
at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:247)
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}
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