[HIVE-8867] Investigate test failure on mapjoin_filter_on_outerjoin.q [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
• Assignee: Chao Sun
• Reporter: Chao Sun
• Created: 14/Nov/14 06:19
• Updated: 29/May/15 02:31
• Resolved: 17/Nov/14 21:34

Description

If we run the test, it fails with the following exception:

java.lang.RuntimeException: Map operator initialization failed
  at org.apache.hadoop.hive.ql.exec.spark.SparkMapRecordHandler.init(SparkMapRecordHandler.java:136)
  at org.apache.hadoop.hive.ql.exec.spark.HiveMapFunction.call(HiveMapFunction.java:54)
  at org.apache.hadoop.hive.ql.exec.spark.HiveMapFunction.call(HiveMapFunction.java:29)
  at org.apache.spark.api.java.JavaRDDLike$$anonfun$fn$7$1.apply(JavaRDDLike.scala:167)
  at org.apache.spark.api.java.JavaRDDLike$$anonfun$fn$7$1.apply(JavaRDDLike.scala:167)
  at org.apache.spark.rdd.RDD$$anonfun$13.apply(RDD.scala:599)
  at org.apache.spark.rdd.RDD$$anonfun$13.apply(RDD.scala:599)
  at org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:35)
  at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:262)
  at org.apache.spark.rdd.RDD.iterator(RDD.scala:229)
  at org.apache.spark.rdd.UnionRDD.compute(UnionRDD.scala:87)
  at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:262)
  at org.apache.spark.rdd.RDD.iterator(RDD.scala:229)
  at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:61)
  at org.apache.spark.scheduler.Task.run(Task.scala:56)
  at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:186)
  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)
Caused by: java.lang.NullPointerException
  at java.util.ArrayList.<init>(ArrayList.java:164)
  at org.apache.hadoop.hive.ql.exec.HashTableSinkOperator.initializeOp(HashTableSinkOperator.java:163)
  at org.apache.hadoop.hive.ql.exec.Operator.initialize(Operator.java:385)
  at org.apache.hadoop.hive.ql.exec.SparkHashTableSinkOperator.initializeOp(SparkHashTableSinkOperator.java:59)
  at org.apache.hadoop.hive.ql.exec.Operator.initialize(Operator.java:385)
  at org.apache.hadoop.hive.ql.exec.Operator.initialize(Operator.java:469)
  at org.apache.hadoop.hive.ql.exec.Operator.initializeChildren(Operator.java:425)
  at org.apache.hadoop.hive.ql.exec.FilterOperator.initializeOp(FilterOperator.java:66)
  at org.apache.hadoop.hive.ql.exec.Operator.initialize(Operator.java:385)
  at org.apache.hadoop.hive.ql.exec.Operator.initialize(Operator.java:469)
  at org.apache.hadoop.hive.ql.exec.Operator.initializeChildren(Operator.java:425)
  at org.apache.hadoop.hive.ql.exec.TableScanOperator.initializeOp(TableScanOperator.java:193)
  at org.apache.hadoop.hive.ql.exec.Operator.initialize(Operator.java:385)
  at org.apache.hadoop.hive.ql.exec.MapOperator.initializeOp(MapOperator.java:427)
  at org.apache.hadoop.hive.ql.exec.Operator.initialize(Operator.java:385)
  at org.apache.hadoop.hive.ql.exec.spark.SparkMapRecordHandler.init(SparkMapRecordHandler.java:112)
  ... 18 more

We need to find out why.