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From "Xuefu Zhang (JIRA)" <j...@apache.org>
Subject [jira] [Commented] (HIVE-9078) Hive should not submit second SparkTask while previous one has failed.[Spark Branch]
Date Mon, 15 Dec 2014 15:03:13 GMT

    [ https://issues.apache.org/jira/browse/HIVE-9078?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14246716#comment-14246716
] 

Xuefu Zhang commented on HIVE-9078:
-----------------------------------

+1

> 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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