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https://issues.apache.org/jira/browse/HIVE-4392?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=13645952#comment-13645952
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Ashutosh Chauhan commented on HIVE-4392:
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[~navis] You opted to make aggregate column virtual hidden. But as [~rhbutani]
this may still be problematic when these aggregate columns are referenced in
having clause. e.g, consider query 2 from Harish's example with groupby and
having clause in subquery. Did you test that.
Also as Harish suggested root problem here is
bq. And the issue is in how the RowResolver is constructed in SelectOp when a
'*' is present in the Select List.
So, proper fix is to correctly handle * and only add requisite columns in
RowResolver of select Op and thereby avoiding duplication of columns in first
place. Wondering if you explored that route ?
> 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, HIVE-4392.D10431.4.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
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