Description
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
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:
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
Attachments
Attachments
Issue Links
- is related to
-
HIVE-9099 infer_bucket_sort_convert_join.q and mapjoin_hook.q failed.[Spark Branch]
- Resolved
- links to