[jira] [Created] (HIVE-8545) Exception when casting Text to BytesWritable [Spark Branch]

[Chao (JIRA)]

Chao created HIVE-8545:
--------------------------

             Summary: Exception when casting Text to BytesWritable [Spark 
Branch]
                 Key: HIVE-8545
                 URL: https://issues.apache.org/jira/browse/HIVE-8545
             Project: Hive
          Issue Type: Bug
          Components: Spark
            Reporter: Chao


With the current multi-insertion implementation, when caching is enabled for 
input RDD, query may fail with the following exception:

{noformat}
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)
{noformat}




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