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Hive QA commented on HIVE-7773: ------------------------------- {color:red}Overall{color}: -1 at least one tests failed Here are the results of testing the latest attachment: https://issues.apache.org/jira/secure/attachment/12662771/HIVE-7773.2-spark.patch {color:red}ERROR:{color} -1 due to 9 failed/errored test(s), 5925 tests executed *Failed tests:* {noformat} org.apache.hadoop.hive.cli.TestCliDriver.testCliDriver_sample_islocalmode_hook org.apache.hadoop.hive.cli.TestMiniTezCliDriver.testCliDriver_dynpart_sort_opt_vectorization org.apache.hadoop.hive.cli.TestMiniTezCliDriver.testCliDriver_union2 org.apache.hadoop.hive.cli.TestMiniTezCliDriver.testCliDriver_union3 org.apache.hadoop.hive.cli.TestMiniTezCliDriver.testCliDriver_union5 org.apache.hadoop.hive.cli.TestMiniTezCliDriver.testCliDriver_union7 org.apache.hadoop.hive.cli.TestMiniTezCliDriver.testCliDriver_union8 org.apache.hadoop.hive.cli.TestMiniTezCliDriver.testCliDriver_union9 org.apache.hadoop.hive.cli.TestNegativeCliDriver.testNegativeCliDriver_fs_default_name2 {noformat} Test results: http://ec2-174-129-184-35.compute-1.amazonaws.com/jenkins/job/PreCommit-HIVE-SPARK-Build/62/testReport Console output: http://ec2-174-129-184-35.compute-1.amazonaws.com/jenkins/job/PreCommit-HIVE-SPARK-Build/62/console Test logs: http://ec2-54-176-176-199.us-west-1.compute.amazonaws.com/logs/PreCommit-HIVE-SPARK-Build-62/ Messages: {noformat} Executing org.apache.hive.ptest.execution.PrepPhase Executing org.apache.hive.ptest.execution.ExecutionPhase Executing org.apache.hive.ptest.execution.ReportingPhase Tests exited with: TestsFailedException: 9 tests failed {noformat} This message is automatically generated. ATTACHMENT ID: 12662771 > Union all query finished with errors [Spark Branch] > --------------------------------------------------- > > Key: HIVE-7773 > URL: https://issues.apache.org/jira/browse/HIVE-7773 > Project: Hive > Issue Type: Sub-task > Components: Spark > Reporter: Rui Li > Assignee: Rui Li > Priority: Critical > Attachments: HIVE-7773.2-spark.patch, HIVE-7773.spark.patch > > > When I run a union all query, I found the following error in spark log (the > query finished with correct results though): > {noformat} > 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 > {noformat} > 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. -- This message was sent by Atlassian JIRA (v6.2#6252)