[HIVE-7773] Union all query finished with errors [Spark Branch]

• Type: Sub-task
• Status: Resolved
• Priority: Critical
• Resolution: Fixed
• Fix Version/s: 1.1.0
• Component/s: Spark
• Assignee: Rui Li
• Reporter: Rui Li
• Created: 19/Aug/14 02:07
• Updated: 29/May/15 02:30
• Resolved: 19/Aug/14 21:02

Description

When I run a union all query, I found the following error in spark log (the query finished with correct results though):

java.lang.RuntimeException: Map operator initialization failed
        at org.apache.hadoop.hive.ql.exec.spark.SparkMapRecordHandler.init(SparkMapRecordHandler.java:127)
        at org.apache.hadoop.hive.ql.exec.spark.HiveMapFunction.call(HiveMapFunction.java:52)
        at org.apache.hadoop.hive.ql.exec.spark.HiveMapFunction.call(HiveMapFunction.java:30)
        at org.apache.spark.api.java.JavaRDDLike$$anonfun$fn$7$1.apply(JavaRDDLike.scala:164)
        at org.apache.spark.api.java.JavaRDDLike$$anonfun$fn$7$1.apply(JavaRDDLike.scala:164)
        at org.apache.spark.rdd.RDD$$anonfun$13.apply(RDD.scala:596)
        at org.apache.spark.rdd.RDD$$anonfun$13.apply(RDD.scala:596)
        at org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:35)
        at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:262)
        at org.apache.spark.rdd.RDD.iterator(RDD.scala:229)
        at org.apache.spark.scheduler.ShuffleMapTask.runTask(ShuffleMapTask.scala:68)
        at org.apache.spark.scheduler.ShuffleMapTask.runTask(ShuffleMapTask.scala:41)
        at org.apache.spark.scheduler.Task.run(Task.scala:54)
        at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:199)
        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:744)
Caused by: org.apache.hadoop.hive.ql.metadata.HiveException: org.apache.hadoop.hive.ql.metadata.HiveException: Configuration and input path are inconsistent
        at org.apache.hadoop.hive.ql.exec.MapOperator.setChildren(MapOperator.java:404)
        at org.apache.hadoop.hive.ql.exec.spark.SparkMapRecordHandler.init(SparkMapRecordHandler.java:93)
        ... 16 more

Judging from the log, I think we don't properly handle the input paths when cloning the job conf, so it may also affect other queries with multiple maps or reduces.

Issue Links

• is part of: HIVE-7292 Hive on Spark
• links to: RB request