[ 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} -- This message was sent by Atlassian JIRA (v6.3.4#6332) --------------------------------------------------------------------- To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org For additional commands, e-mail: issues-h...@spark.apache.org