[
https://issues.apache.org/jira/browse/HIVE-9078?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14246629#comment-14246629
]
Chengxiang Li commented on HIVE-9078:
-------------------------------------
I make a mistake previously, bucket_map_join_spark4.q failed due to the
following error:
{noformat}
2014-12-15 04:48:56,241 ERROR [Executor task launch worker-0]:
executor.Executor (Logging.scala:logError(96)) - Exception in task 0.3 in stage
7.0 (TID 15)
java.lang.RuntimeException: org.apache.hadoop.hive.ql.metadata.HiveException:
java.lang.NullPointerException
at
org.apache.hadoop.hive.ql.exec.spark.SparkMapRecordHandler.processRow(SparkMapRecordHandler.java:160)
at
org.apache.hadoop.hive.ql.exec.spark.HiveMapFunctionResultList.processNextRecord(HiveMapFunctionResultList.java:47)
at
org.apache.hadoop.hive.ql.exec.spark.HiveMapFunctionResultList.processNextRecord(HiveMapFunctionResultList.java:28)
at
org.apache.hadoop.hive.ql.exec.spark.HiveBaseFunctionResultList$ResultIterator.hasNext(HiveBaseFunctionResultList.java:96)
at
scala.collection.convert.Wrappers$JIteratorWrapper.hasNext(Wrappers.scala:41)
at scala.collection.Iterator$class.foreach(Iterator.scala:727)
at scala.collection.AbstractIterator.foreach(Iterator.scala:1157)
at
org.apache.spark.rdd.AsyncRDDActions$$anonfun$foreachAsync$2.apply(AsyncRDDActions.scala:115)
at
org.apache.spark.rdd.AsyncRDDActions$$anonfun$foreachAsync$2.apply(AsyncRDDActions.scala:115)
at
org.apache.spark.SparkContext$$anonfun$30.apply(SparkContext.scala:1390)
at
org.apache.spark.SparkContext$$anonfun$30.apply(SparkContext.scala:1390)
at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:61)
at org.apache.spark.scheduler.Task.run(Task.scala:56)
at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:196)
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:722)
Caused by: org.apache.hadoop.hive.ql.metadata.HiveException:
java.lang.NullPointerException
at
org.apache.hadoop.hive.ql.exec.spark.HashTableLoader.load(HashTableLoader.java:114)
at
org.apache.hadoop.hive.ql.exec.MapJoinOperator.loadHashTable(MapJoinOperator.java:193)
at
org.apache.hadoop.hive.ql.exec.MapJoinOperator.cleanUpInputFileChangedOp(MapJoinOperator.java:219)
at
org.apache.hadoop.hive.ql.exec.Operator.cleanUpInputFileChanged(Operator.java:1051)
at
org.apache.hadoop.hive.ql.exec.Operator.cleanUpInputFileChanged(Operator.java:1055)
at
org.apache.hadoop.hive.ql.exec.Operator.cleanUpInputFileChanged(Operator.java:1055)
at
org.apache.hadoop.hive.ql.exec.Operator.cleanUpInputFileChanged(Operator.java:1055)
at
org.apache.hadoop.hive.ql.exec.Operator.cleanUpInputFileChanged(Operator.java:1055)
at
org.apache.hadoop.hive.ql.exec.MapOperator.process(MapOperator.java:486)
at
org.apache.hadoop.hive.ql.exec.spark.SparkMapRecordHandler.processRow(SparkMapRecordHandler.java:149)
... 16 more
Caused by: java.lang.NullPointerException
at
org.apache.hadoop.hive.ql.exec.spark.HashTableLoader.load(HashTableLoader.java:104)
... 25 more
{noformat}
Previous golden file contains unexpected "Status: Failed" which hide failed
query, I've created HIVE-9101 to track it.
> Hive should not submit second SparkTask while previous one has failed.[Spark
> Branch]
> ------------------------------------------------------------------------------------
>
> Key: HIVE-9078
> URL: https://issues.apache.org/jira/browse/HIVE-9078
> Project: Hive
> Issue Type: Sub-task
> Components: Spark
> Reporter: Chengxiang Li
> Assignee: Chengxiang Li
> Labels: Spark-M4
> Attachments: HIVE-9078.1-spark.patch, HIVE-9078.2-spark.patch,
> HIVE-9078.3-spark.patch
>
>
> {noformat}
> hive> select n_name, c_name from nation, customer where nation.n_nationkey =
> customer.c_nationkey limit 10;
> Query ID = root_20141211135050_51e5ae15-49a3-4a46-826f-e27ee314ccb2
> Total jobs = 2
> Launching Job 1 out of 2
> In order to change the average load for a reducer (in bytes):
> set hive.exec.reducers.bytes.per.reducer=<number>
> In order to limit the maximum number of reducers:
> set hive.exec.reducers.max=<number>
> In order to set a constant number of reducers:
> set mapreduce.job.reduces=<number>
> Status: Failed
> Launching Job 2 out of 2
> In order to change the average load for a reducer (in bytes):
> set hive.exec.reducers.bytes.per.reducer=<number>
> In order to limit the maximum number of reducers:
> set hive.exec.reducers.max=<number>
> In order to set a constant number of reducers:
> set mapreduce.job.reduces=<number>
> Status: Failed
> OK
> Time taken: 68.53 seconds
> {noformat}
> 2 issue in the above CLI output.
> # For a query which would be translated into multi SparkTask, is previous
> SparkTask failed, Hive should failed right away, the following SparkTask
> should not be submitted any more.
> # Print failed info in Hive console while query failed.
> The correct CLI output while query failed:
> {noformat}
> hive> select n_name, c_name from nation, customer where nation.n_nationkey =
> customer.c_nationkey limit 10;
> Query ID = root_20141211142929_ddb7f205-8422-44b4-96bd-96a1c9291895
> Total jobs = 2
> Launching Job 1 out of 2
> In order to change the average load for a reducer (in bytes):
> set hive.exec.reducers.bytes.per.reducer=<number>
> In order to limit the maximum number of reducers:
> set hive.exec.reducers.max=<number>
> In order to set a constant number of reducers:
> set mapreduce.job.reduces=<number>
> Status: Failed
> FAILED: Execution Error, return code 2 from
> org.apache.hadoop.hive.ql.exec.spark.SparkTask
> {noformat}
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