You are viewing a plain text version of this content. The canonical link for it is here.
Posted to dev@hive.apache.org by "Chengxiang Li (JIRA)" <ji...@apache.org> on 2014/12/11 07:51:12 UTC
[jira] [Updated] (HIVE-9078) Hive should not submit second
SparkTask while previous one has failed.[Spark Branch]
[ https://issues.apache.org/jira/browse/HIVE-9078?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Chengxiang Li updated HIVE-9078:
--------------------------------
Summary: Hive should not submit second SparkTask while previous one has failed.[Spark Branch] (was: Hive should not submit second SparkTask while previous one has failed.[Spark Branch]])
> 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
>
>
> {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}
--
This message was sent by Atlassian JIRA
(v6.3.4#6332)