[
https://issues.apache.org/jira/browse/HIVE-8545?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]
Chao updated HIVE-8545:
-----------------------
Description:
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$$anon$11.next(Iterator.scala:328)
org.apache.spark.storage.MemoryStore.unrollSafely(MemoryStore.scala:234)
org.apache.spark.CacheManager.putInBlockManager(CacheManager.scala:163)
org.apache.spark.CacheManager.getOrCompute(CacheManager.scala:70)
org.apache.spark.rdd.RDD.iterator(RDD.scala:227)
org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:35)
org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:262)
org.apache.spark.rdd.RDD.iterator(RDD.scala:229)
org.apache.spark.scheduler.ShuffleMapTask.runTask(ShuffleMapTask.scala:68)
org.apache.spark.scheduler.ShuffleMapTask.runTask(ShuffleMapTask.scala:41)
org.apache.spark.scheduler.Task.run(Task.scala:56)
org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:181)
java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1145)
java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:615)
java.lang.Thread.run(Thread.java:745)
{noformat}
The fix should be easy. However, interestingly, this error doesn't show up when
the caching is turned off. We need to find out why.
was:
With the current multi-insertion implementation, when caching is enabled for
input RDD, query may fail with the following exception:
{noformat}
2014-10-21 13:57:34,742 WARN [task-result-getter-0]: scheduler.TaskSetManager
(Logging.scala:logWarning(71)) - Lost task 0.0 in stage 1.0 (TID 1, localhost):
java.lang.ClassCastException: org.apache.hadoop.io.Text cannot be cast to
org.apache.hadoop.io.BytesWritable
org.apache.hadoop.hive.ql.exec.spark.MapInput$CopyFunction.call(MapInput.java:67)
org.apache.hadoop.hive.ql.exec.spark.MapInput$CopyFunction.call(MapInput.java:61)
org.apache.spark.api.java.JavaPairRDD$$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$Worker.run(ThreadPoolExecutor.java:615)
java.lang.Thread.run(Thread.java:745)
{noformat}
> Exception when casting Text to BytesWritable [Spark Branch]
> -----------------------------------------------------------
>
> Key: HIVE-8545
> URL: https://issues.apache.org/jira/browse/HIVE-8545
> Project: Hive
> Issue Type: Bug
> Components: Spark
> Reporter: Chao
>
> With the current multi-insertion implementation, when caching is enabled for
> input RDD, query may fail with the following exception:
> {noformat}
> 2014-10-21 13:57:34,742 WARN [task-result-getter-0]:
> scheduler.TaskSetManager (Logging.scala:logWarning(71)) - Lost task 0.0 in
> stage 1.0 (TID 1, localhost): java.lang.ClassCastException:
> org.apache.hadoop.io.Text cannot be cast to org.apache.hadoop.io.BytesWritable
>
> org.apache.hadoop.hive.ql.exec.spark.MapInput$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}
> 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.
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