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https://issues.apache.org/jira/browse/HIVE-9078?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14244942#comment-14244942
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Brock Noland commented on HIVE-9078:
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I tried testing this patch and it looks like some of the failures are related.
> 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-9078.1-spark.patch,
> HIVE-9078.2-spark.patch, HIVE-9078.2-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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