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Posted to issues@spark.apache.org by "Josh Rosen (JIRA)" <ji...@apache.org> on 2015/11/03 22:20:27 UTC
[jira] [Created] (SPARK-11486) TungstenAggregate may fail when
switching to sort-based aggregation when there are string in grouping
columns and no aggregation buffer columns
Josh Rosen created SPARK-11486:
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Summary: TungstenAggregate may fail when switching to sort-based aggregation when there are string in grouping columns and no aggregation buffer columns
Key: SPARK-11486
URL: https://issues.apache.org/jira/browse/SPARK-11486
Project: Spark
Issue Type: Bug
Components: SQL
Affects Versions: 1.6.0
Reporter: Josh Rosen
Priority: Blocker
Fix For: 1.6.0
This was discovered by [~davies]:
{code}
java.lang.UnsupportedOperationException
at org.apache.spark.sql.catalyst.expressions.UnsafeRow.update(UnsafeRow.java:193)
at org.apache.spark.sql.catalyst.expressions.GeneratedClass$SpecificMutableProjection.apply(generated.java:40)
at org.apache.spark.sql.execution.aggregate.TungstenAggregationIterator.switchToSortBasedAggregation(TungstenAggregationIterator.scala:643)
at org.apache.spark.sql.execution.aggregate.TungstenAggregationIterator.processInputs(TungstenAggregationIterator.scala:517)
at org.apache.spark.sql.execution.aggregate.TungstenAggregationIterator.start(TungstenAggregationIterator.scala:779)
at org.apache.spark.sql.execution.aggregate.TungstenAggregate$$anonfun$doExecute$1.org$apache$spark$sql$execution$aggregate$TungstenAggregate$$anonfun$$executePartition$1(TungstenAggregate.scala:128)
at org.apache.spark.sql.execution.aggregate.TungstenAggregate$$anonfun$doExecute$1$$anonfun$3.apply(TungstenAggregate.scala:137)
at org.apache.spark.sql.execution.aggregate.TungstenAggregate$$anonfun$doExecute$1$$anonfun$3.apply(TungstenAggregate.scala:137)
at org.apache.spark.rdd.MapPartitionsWithPreparationRDD.compute(MapPartitionsWithPreparationRDD.scala:64)
at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:300)
at org.apache.spark.rdd.RDD.iterator(RDD.scala:264)
at org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:38)
at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:300)
at org.apache.spark.rdd.RDD.iterator(RDD.scala:264)
at org.apache.spark.scheduler.ShuffleMapTask.runTask(ShuffleMapTask.scala:73)
at org.apache.spark.scheduler.ShuffleMapTask.runTask(ShuffleMapTask.scala:41)
at org.apache.spark.scheduler.Task.run(Task.scala:88)
at org.apache.spark.executor.Executor$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)
15/10/28 23:25:08 DEBUG TaskSchedulerImpl: parentName: , name: TaskSet_3, runningTasks: 0
{code}
See discussion at https://github.com/apache/spark/pull/9383#issuecomment-153466959
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