[
https://issues.apache.org/jira/browse/SPARK-9589?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]
Davies Liu resolved SPARK-9589.
-------------------------------
Resolution: Fixed
Fix Version/s: 1.5.0
Issue resolved by pull request 8177
[https://github.com/apache/spark/pull/8177]
> Flaky test: HiveCompatibilitySuite.groupby8
> -------------------------------------------
>
> Key: SPARK-9589
> URL: https://issues.apache.org/jira/browse/SPARK-9589
> Project: Spark
> Issue Type: Bug
> Components: SQL
> Reporter: Davies Liu
> Assignee: Davies Liu
> Priority: Blocker
> Fix For: 1.5.0
>
>
> https://amplab.cs.berkeley.edu/jenkins/job/SparkPullRequestBuilder/39662/testReport/org.apache.spark.sql.hive.execution/HiveCompatibilitySuite/groupby8/
> {code}
> sbt.ForkMain$ForkError:
> Failed to execute query using catalyst:
> Error: Job aborted due to stage failure: Task 24 in stage 3081.0 failed 1
> times, most recent failure: Lost task 24.0 in stage 3081.0 (TID 14919,
> localhost): java.lang.NullPointerException
> at
> org.apache.spark.unsafe.memory.TaskMemoryManager.getPage(TaskMemoryManager.java:226)
> at
> org.apache.spark.unsafe.map.BytesToBytesMap$Location.updateAddressesAndSizes(BytesToBytesMap.java:366)
> at
> org.apache.spark.unsafe.map.BytesToBytesMap$Location.putNewKey(BytesToBytesMap.java:600)
> at
> org.apache.spark.sql.execution.UnsafeFixedWidthAggregationMap.getAggregationBuffer(UnsafeFixedWidthAggregationMap.java:134)
> at
> org.apache.spark.sql.execution.aggregate.UnsafeHybridAggregationIterator.initialize(UnsafeHybridAggregationIterator.scala:276)
> at
> org.apache.spark.sql.execution.aggregate.UnsafeHybridAggregationIterator.<init>(UnsafeHybridAggregationIterator.scala:290)
> at
> org.apache.spark.sql.execution.aggregate.UnsafeHybridAggregationIterator$.createFromInputIterator(UnsafeHybridAggregationIterator.scala:358)
> at
> org.apache.spark.sql.execution.aggregate.Aggregate$$anonfun$doExecute$1$$anonfun$5.apply(Aggregate.scala:130)
> at
> org.apache.spark.sql.execution.aggregate.Aggregate$$anonfun$doExecute$1$$anonfun$5.apply(Aggregate.scala:121)
> at
> org.apache.spark.rdd.RDD$$anonfun$mapPartitions$1$$anonfun$apply$17.apply(RDD.scala:706)
> at
> org.apache.spark.rdd.RDD$$anonfun$mapPartitions$1$$anonfun$apply$17.apply(RDD.scala:706)
> at
> org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:35)
> at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:297)
> at org.apache.spark.rdd.RDD.iterator(RDD.scala:264)
> at
> org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:35)
> at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:297)
> at org.apache.spark.rdd.RDD.iterator(RDD.scala:264)
> at
> org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:35)
> at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:297)
> at org.apache.spark.rdd.RDD.iterator(RDD.scala:264)
> at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:66)
> at org.apache.spark.scheduler.Task.run(Task.scala:88)
> at org.apache.spark.executor.Executor$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)
> {code}
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