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From "Chao Sun" <chao....@cloudera.com>
Subject Re: Review Request 27046: HIVE-8545 - Exception when casting Text to BytesWritable [Spark Branch]
Date Thu, 23 Oct 2014 00:41:54 GMT


> On Oct. 22, 2014, 11:36 p.m., Xuefu Zhang wrote:
> > ql/src/java/org/apache/hadoop/hive/ql/exec/spark/HiveBaseFunctionResultList.java,
line 77
> > <https://reviews.apache.org/r/27046/diff/1/?file=728816#file728816line77>
> >
> >     I think we should let this stay in SparkUtils which otherwise now become an
empty class.

OK. To make it consistent, I also moved copyHiveKey to SparkUtilities.


- Chao


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https://reviews.apache.org/r/27046/#review57929
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On Oct. 22, 2014, 5:50 p.m., Chao Sun wrote:
> 
> -----------------------------------------------------------
> This is an automatically generated e-mail. To reply, visit:
> https://reviews.apache.org/r/27046/
> -----------------------------------------------------------
> 
> (Updated Oct. 22, 2014, 5:50 p.m.)
> 
> 
> Review request for hive, Brock Noland and Xuefu Zhang.
> 
> 
> Bugs: hive-8545
>     https://issues.apache.org/jira/browse/hive-8545
> 
> 
> Repository: hive-git
> 
> 
> Description
> -------
> 
> With the current multi-insertion implementation, when caching is enabled for input RDD,
query may fail with the following exception:
> 2014-10-21 13:57:34,742 WARN  [task-result-getter-0]: scheduler.TaskSetManager (Logging.scala:logWarning(71))
- Lost task 0.0 in stage 1.0 (TID 1, localhost): java.lang.ClassCastException: org.apache.hadoop.io.Text
cannot be cast to org.apache.hadoop.io.BytesWritable
>         org.apache.hadoop.hive.ql.exec.spark.MapInput$CopyFunction.call(MapInput.java:67)
>         org.apache.hadoop.hive.ql.exec.spark.MapInput$CopyFunction.call(MapInput.java:61)
>         org.apache.spark.api.java.JavaPairRDD$$anonfun$pairFunToScalaFun$1.apply(JavaPairRDD.scala:1002)
>         org.apache.spark.api.java.JavaPairRDD$$anonfun$pairFunToScalaFun$1.apply(JavaPairRDD.scala:1002)
>         scala.collection.Iterator$$anon$11.next(Iterator.scala:328)
>         org.apache.spark.storage.MemoryStore.unrollSafely(MemoryStore.scala:234)
>         org.apache.spark.CacheManager.putInBlockManager(CacheManager.scala:163)
>         org.apache.spark.CacheManager.getOrCompute(CacheManager.scala:70)
>         org.apache.spark.rdd.RDD.iterator(RDD.scala:227)
>         org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:35)
>         org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:262)
>         org.apache.spark.rdd.RDD.iterator(RDD.scala:229)
>         org.apache.spark.scheduler.ShuffleMapTask.runTask(ShuffleMapTask.scala:68)
>         org.apache.spark.scheduler.ShuffleMapTask.runTask(ShuffleMapTask.scala:41)
>         org.apache.spark.scheduler.Task.run(Task.scala:56)
>         org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:181)
>         java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1145)
>         java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:615)
>         java.lang.Thread.run(Thread.java:745)
> The fix should be easy. However, interestingly, this error doesn't show up when the caching
is turned off. We need to find out why.
> 
> 
> Diffs
> -----
> 
>   ql/src/java/org/apache/hadoop/hive/ql/exec/spark/HiveBaseFunctionResultList.java dc5d148

>   ql/src/java/org/apache/hadoop/hive/ql/exec/spark/HiveCopyFunction.java PRE-CREATION

>   ql/src/java/org/apache/hadoop/hive/ql/exec/spark/MapInput.java 9849b49 
>   ql/src/java/org/apache/hadoop/hive/ql/exec/spark/SparkPlanGenerator.java 25a4515 
>   ql/src/java/org/apache/hadoop/hive/ql/exec/spark/SparkTran.java 8a3dbf2 
>   ql/src/java/org/apache/hadoop/hive/ql/exec/spark/SparkUtilities.java 0f21b46 
> 
> Diff: https://reviews.apache.org/r/27046/diff/
> 
> 
> Testing
> -------
> 
> 
> Thanks,
> 
> Chao Sun
> 
>


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