Josh Rosen created SPARK-11486:
----------------------------------

             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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