[HIVE-7843] orc_analyze.q fails due to random mapred.task.id in FileSinkOperator [Spark Branch]

• Type: Sub-task
• Status: Resolved
• Priority: Major
• Resolution: Fixed
• Affects Version/s: spark-branch
• Fix Version/s: 1.1.0
• Component/s: Spark
• Labels: Spark-M1
• Assignee: Venki Korukanti
• Reporter: Venki Korukanti
• Created: 22/Aug/14 00:41
• Updated: 29/May/15 02:29
• Resolved: 29/Sep/14 22:45

Description

java.lang.AssertionError: data length is different from num of DP columns
org.apache.hadoop.hive.ql.exec.FileSinkOperator.getDynPartDirectory(FileSinkOperator.java:809)
org.apache.hadoop.hive.ql.exec.FileSinkOperator.getDynOutPaths(FileSinkOperator.java:730)
org.apache.hadoop.hive.ql.exec.FileSinkOperator.startGroup(FileSinkOperator.java:829)
org.apache.hadoop.hive.ql.exec.Operator.defaultStartGroup(Operator.java:502)
org.apache.hadoop.hive.ql.exec.Operator.startGroup(Operator.java:525)
org.apache.hadoop.hive.ql.exec.spark.SparkReduceRecordHandler.processRow(SparkReduceRecordHandler.java:198)
org.apache.hadoop.hive.ql.exec.spark.HiveReduceFunctionResultList.processNextRecord(HiveReduceFunctionResultList.java:47)
org.apache.hadoop.hive.ql.exec.spark.HiveReduceFunctionResultList.processNextRecord(HiveReduceFunctionResultList.java:27)
org.apache.hadoop.hive.ql.exec.spark.HiveBaseFunctionResultList$ResultIterator.hasNext(HiveBaseFunctionResultList.java:98)
scala.collection.convert.Wrappers$JIteratorWrapper.hasNext(Wrappers.scala:41)
scala.collection.Iterator$class.foreach(Iterator.scala:727)
scala.collection.AbstractIterator.foreach(Iterator.scala:1157)
org.apache.spark.rdd.RDD$$anonfun$foreach$1.apply(RDD.scala:759)
org.apache.spark.rdd.RDD$$anonfun$foreach$1.apply(RDD.scala:759)
org.apache.spark.SparkContext$$anonfun$runJob$4.apply(SparkContext.scala:1121)
org.apache.spark.SparkContext$$anonfun$runJob$4.apply(SparkContext.scala:1121)
org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:62)
org.apache.spark.scheduler.Task.run(Task.scala:54)
org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:199)
java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1145)
java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:615)
java.lang.Thread.run(Thread.java:744)

Issue Links

• depends upon: SPARK-2895 Support mapPartitionsWithContext in Spark Java API
• is part of: HIVE-7792 Enable tests on Spark branch (2) [Sparch Branch]
• is related to: HIVE-7580 Support dynamic partitioning [Spark Branch]