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Navis commented on HIVE-4392: ----------------------------- Harish is right. Query 2 is failing and it's apparent that the patch is still missing something even for a stopgap. I'll look into this more. > Illogical InvalidObjectException throwed when use mulit aggregate functions > with star columns > ---------------------------------------------------------------------------------------------- > > Key: HIVE-4392 > URL: https://issues.apache.org/jira/browse/HIVE-4392 > Project: Hive > Issue Type: Bug > Components: Query Processor > Environment: Apache Hadoop 0.20.1 > Apache Hive Trunk > Reporter: caofangkun > Assignee: Navis > Priority: Minor > Attachments: HIVE-4392.D10431.1.patch, HIVE-4392.D10431.2.patch, > HIVE-4392.D10431.3.patch > > > For Example: > hive (default)> create table liza_1 as > > select *, sum(key), sum(value) > > from new_src; > Total MapReduce jobs = 1 > Launching Job 1 out of 1 > Number of reduce tasks determined at compile time: 1 > 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 mapred.reduce.tasks=<number> > Starting Job = job_201304191025_0003, Tracking URL = > http://hd17-vm5:51030/jobdetails.jsp?jobid=job_201304191025_0003 > Kill Command = /home/zongren/hadoop-current/bin/../bin/hadoop job -kill > job_201304191025_0003 > Hadoop job information for Stage-1: number of mappers: 0; number of reducers: > 1 > 2013-04-22 11:09:28,017 Stage-1 map = 0%, reduce = 0% > 2013-04-22 11:09:34,054 Stage-1 map = 0%, reduce = 100% > 2013-04-22 11:09:37,074 Stage-1 map = 100%, reduce = 100% > Ended Job = job_201304191025_0003 > Moving data to: hdfs://hd17-vm5:9101/user/zongren/hive/liza_1 > FAILED: Error in metadata: InvalidObjectException(message:liza_1 is not a > valid object name) > FAILED: Execution Error, return code 1 from > org.apache.hadoop.hive.ql.exec.DDLTask > MapReduce Jobs Launched: > Job 0: Reduce: 1 HDFS Read: 0 HDFS Write: 12 SUCCESS > Total MapReduce CPU Time Spent: 0 msec > hive (default)> create table liza_1 as > > select *, sum(key), sum(value) > > from new_src > > group by key, value; > Total MapReduce jobs = 1 > Launching Job 1 out of 1 > Number of reduce tasks not specified. Estimated from input data size: 1 > 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 mapred.reduce.tasks=<number> > Starting Job = job_201304191025_0004, Tracking URL = > http://hd17-vm5:51030/jobdetails.jsp?jobid=job_201304191025_0004 > Kill Command = /home/zongren/hadoop-current/bin/../bin/hadoop job -kill > job_201304191025_0004 > Hadoop job information for Stage-1: number of mappers: 0; number of reducers: > 1 > 2013-04-22 11:11:58,945 Stage-1 map = 0%, reduce = 0% > 2013-04-22 11:12:01,964 Stage-1 map = 0%, reduce = 100% > 2013-04-22 11:12:04,982 Stage-1 map = 100%, reduce = 100% > Ended Job = job_201304191025_0004 > Moving data to: hdfs://hd17-vm5:9101/user/zongren/hive/liza_1 > FAILED: Error in metadata: InvalidObjectException(message:liza_1 is not a > valid object name) > FAILED: Execution Error, return code 1 from > org.apache.hadoop.hive.ql.exec.DDLTask > MapReduce Jobs Launched: > Job 0: Reduce: 1 HDFS Read: 0 HDFS Write: 0 SUCCESS > Total MapReduce CPU Time Spent: 0 msec > But the following tow Queries work: > hive (default)> create table liza_1 as select * from new_src; > Total MapReduce jobs = 3 > Launching Job 1 out of 3 > Number of reduce tasks is set to 0 since there's no reduce operator > Starting Job = job_201304191025_0006, Tracking URL = > http://hd17-vm5:51030/jobdetails.jsp?jobid=job_201304191025_0006 > Kill Command = /home/zongren/hadoop-current/bin/../bin/hadoop job -kill > job_201304191025_0006 > Hadoop job information for Stage-1: number of mappers: 0; number of reducers: > 0 > 2013-04-22 11:15:00,681 Stage-1 map = 0%, reduce = 0% > 2013-04-22 11:15:03,697 Stage-1 map = 100%, reduce = 100% > Ended Job = job_201304191025_0006 > Stage-4 is selected by condition resolver. > Stage-3 is filtered out by condition resolver. > Stage-5 is filtered out by condition resolver. > Moving data to: > hdfs://hd17-vm5:9101/user/zongren/hive-scratchdir/hive_2013-04-22_11-14-54_632_6709035018023861094/-ext-10001 > Moving data to: hdfs://hd17-vm5:9101/user/zongren/hive/liza_1 > Table default.liza_1 stats: [num_partitions: 0, num_files: 0, num_rows: 0, > total_size: 0, raw_data_size: 0] > MapReduce Jobs Launched: > Job 0: HDFS Read: 0 HDFS Write: 0 SUCCESS > Total MapReduce CPU Time Spent: 0 msec > OK > Time taken: 9.576 seconds > hive (default)> create table liza_1 as > > select sum (key), sum(value) > > from new_test; > Total MapReduce jobs = 1 > Launching Job 1 out of 1 > Number of reduce tasks determined at compile time: 1 > 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 mapred.reduce.tasks=<number> > Starting Job = job_201304191025_0008, Tracking URL = > http://hd17-vm5:51030/jobdetails.jsp?jobid=job_201304191025_0008 > Kill Command = /home/zongren/hadoop-current/bin/../bin/hadoop job -kill > job_201304191025_0008 > Hadoop job information for Stage-1: number of mappers: 0; number of reducers: > 1 > 2013-04-22 11:22:52,200 Stage-1 map = 0%, reduce = 0% > 2013-04-22 11:22:55,216 Stage-1 map = 0%, reduce = 100% > 2013-04-22 11:22:58,234 Stage-1 map = 100%, reduce = 100% > Ended Job = job_201304191025_0008 > Moving data to: hdfs://hd17-vm5:9101/user/zongren/hive/liza_1 > Table default.liza_1 stats: [num_partitions: 0, num_files: 1, num_rows: 0, > total_size: 6, raw_data_size: 0] > MapReduce Jobs Launched: > Job 0: Reduce: 1 HDFS Read: 0 HDFS Write: 6 SUCCESS > Total MapReduce CPU Time Spent: 0 msec > OK > Time taken: 11.115 seconds -- This message is automatically generated by JIRA. 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