Github user JoshRosen commented on the pull request:
https://github.com/apache/spark/pull/6414#issuecomment-105655718
Nice, it looks like the test failure reproduces #6400:
```
Lost task 0.0 in stage 405.0 (TID 974, localhost):
java.lang.ClassCastException: java.lang.String cannot be cast to
org.apache.spark.sql.types.UTF8String at
org.apache.spark.sql.execution.SparkSqlSerializer2$$anonfun$createSerializationFunction$1.apply(SparkSqlSerializer2.scala:319)
at
org.apache.spark.sql.execution.SparkSqlSerializer2$$anonfun$createSerializationFunction$1.apply(SparkSqlSerializer2.scala:212)
at
org.apache.spark.sql.execution.Serializer2SerializationStream.writeKey(SparkSqlSerializer2.scala:65)
at
org.apache.spark.storage.DiskBlockObjectWriter.write(BlockObjectWriter.scala:206)
at
org.apache.spark.util.collection.WritablePartitionedIterator$$anon$3.writeNext(WritablePartitionedPairCollection.scala:104)
at
org.apache.spark.util.collection.ExternalSorter.spillToPartitionFiles(ExternalSorter.scala:375)
at
org.apache.spark.util.collection.ExternalSorter.insertAll(ExternalSorter.scala:208)
at org.apache.spark.shuffle.sort.SortShuffleWriter.write(SortShuffleWr
iter.scala:62) at
org.apache.spark.scheduler.ShuffleMapTask.runTask(ShuffleMapTask.scala:70) at
org.apache.spark.scheduler.ShuffleMapTask.runTask(ShuffleMapTask.scala:41) at
org.apache.spark.scheduler.Task.run(Task.scala:70) at
org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:213) at
java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1145)
at
java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:615)
at java.lang.Thread.run(Thread.java:745) Driver stacktrace:
org.apache.spark.SparkException: Job aborted due to stage failure: Task 0 in
stage 405.0 failed 1 times, most recent failure: Lost task 0.0 in stage 405.0
(TID 974, localhost): java.lang.ClassCastException: java.lang.String cannot be
cast to org.apache.spark.sql.types.UTF8String at
org.apache.spark.sql.execution.SparkSqlSerializer2$$anonfun$createSerializationFunction$1.apply(SparkSqlSerializer2.scala:319)
at org.apache.spark.sql.execution.SparkSqlSerializer2
$$anonfun$createSerializationFunction$1.apply(SparkSqlSerializer2.scala:212)
at
org.apache.spark.sql.execution.Serializer2SerializationStream.writeKey(SparkSqlSerializer2.scala:65)
at
org.apache.spark.storage.DiskBlockObjectWriter.write(BlockObjectWriter.scala:206)
at
org.apache.spark.util.collection.WritablePartitionedIterator$$anon$3.writeNext(WritablePartitionedPairCollection.scala:104)
at
org.apache.spark.util.collection.ExternalSorter.spillToPartitionFiles(ExternalSorter.scala:375)
at
org.apache.spark.util.collection.ExternalSorter.insertAll(ExternalSorter.scala:208)
at
org.apache.spark.shuffle.sort.SortShuffleWriter.write(SortShuffleWriter.scala:62)
at org.apache.spark.scheduler.ShuffleMapTask.runTask(ShuffleMapTask.scala:70)
at org.apache.spark.scheduler.ShuffleMapTask.runTask(ShuffleMapTask.scala:41)
at org.apache.spark.scheduler.Task.run(Task.scala:70) at
org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:213) at
java.util.concurrent.ThreadPoolExecu
tor.runWorker(ThreadPoolExecutor.java:1145) at
java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:615)
at java.lang.Thread.run(Thread.java:745) Driver stacktrace: at
org.apache.spark.scheduler.DAGScheduler.org$apache$spark$scheduler$DAGScheduler$$failJobAndIndependentStages(DAGScheduler.scala:1266)
at
org.apache.spark.scheduler.DAGScheduler$$anonfun$abortStage$1.apply(DAGScheduler.scala:1257)
at
org.apache.spark.scheduler.DAGScheduler$$anonfun$abortStage$1.apply(DAGScheduler.scala:1256)
at
scala.collection.mutable.ResizableArray$class.foreach(ResizableArray.scala:59)
at scala.collection.mutable.ArrayBuffer.foreach(ArrayBuffer.scala:47) at
org.apache.spark.scheduler.DAGScheduler.abortStage(DAGScheduler.scala:1256) at
org.apache.spark.scheduler.DAGScheduler$$anonfun$handleTaskSetFailed$1.apply(DAGScheduler.scala:730)
at
org.apache.spark.scheduler.DAGScheduler$$anonfun$handleTaskSetFailed$1.apply(DAGScheduler.scala:730)
at scala.Option.foreach(Option
.scala:236) at
org.apache.spark.scheduler.DAGScheduler.handleTaskSetFailed(DAGScheduler.scala:730)
at
org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.onReceive(DAGScheduler.scala:1450)
at
org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.onReceive(DAGScheduler.scala:1411)
at org.apache.spark.util.EventLoop$$anon$1.run(EventLoop.scala:48)
```
How do you want to handle merging this and #6400? I think that #6400 needs
to go first so that we don't commit broken code. Should I rebase my branch to
include this commit and remove the regression test that I added? Or should we
leave both tests in place?
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