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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} -- This message was sent by Atlassian JIRA (v6.3.4#6332)