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https://issues.apache.org/jira/browse/HIVE-5245?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=13791546#comment-13791546
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Yin Huai commented on HIVE-5245:
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[~jeff_little] I tried both trunk and 0.11 with tables used in our unit tests
(src and src1) with the query
{code:sql}
create table test_10 as
select a.* from src a join src1 b on (a.key=b.key);
{code}
I did not see the error in your post.
Since "Stage-7 is filtered out by condition resolver." appears in your log,
seems hive.auto.convert.join.noconditionaltask was false in your test. Can you
post the results of EXPLAIN with hive.auto.convert.join.noconditionaltask=true
and hive.auto.convert.join.noconditionaltask=false?
Because it is a CTAS query, in the query plan, we should see two extra stages
besides stages for the select query, one for Move Operator and another for
Create Table Operator.
> hive create table as select(CTAS) can not work(not support) with join on
> operator
> ---------------------------------------------------------------------------------
>
> Key: HIVE-5245
> URL: https://issues.apache.org/jira/browse/HIVE-5245
> Project: Hive
> Issue Type: Bug
> Components: HiveServer2
> Affects Versions: 0.11.0
> Reporter: jeff little
> Labels: CTAS, hive
> Original Estimate: 96h
> Remaining Estimate: 96h
>
> hello everyone, recently i came across one hive problem as below:
> hive (test)> create table test_09 as
> > select a.* from test_01 a
> > join test_02 b
> > on (a.id=b.id);
> Automatically selecting local only mode for query
> Total MapReduce jobs = 2
> setting HADOOP_USER_NAME hadoop
> 13/09/09 17:22:36 WARN conf.Configuration:
> file:/tmp/hadoop/hive_2013-09-09_17-22-34_848_1629553341892012305/-local-10008/jobconf.xml:a
> attempt to override final parameter: mapred.system.dir; Ignoring.
> 13/09/09 17:22:36 WARN conf.Configuration:
> file:/tmp/hadoop/hive_2013-09-09_17-22-34_848_1629553341892012305/-local-10008/jobconf.xml:a
> attempt to override final parameter: mapred.local.dir; Ignoring.
> Execution log at: /tmp/hadoop/.log
> 2013-09-09 05:22:36 Starting to launch local task to process map join;
> maximum memory = 932118528
> 2013-09-09 05:22:37 Processing rows: 4 Hashtable size: 4
> Memory usage: 113068056 rate: 0.121
> 2013-09-09 05:22:37 Dump the hashtable into file:
> file:/tmp/hadoop/hive_2013-09-09_17-22-34_848_1629553341892012305/-local-10005/HashTable-Stage-6/MapJoin-mapfile90--.hashtable
> 2013-09-09 05:22:37 Upload 1 File to:
> file:/tmp/hadoop/hive_2013-09-09_17-22-34_848_1629553341892012305/-local-10005/HashTable-Stage-6/MapJoin-mapfile90--.hashtable
> File size: 788
> 2013-09-09 05:22:37 End of local task; Time Taken: 0.444 sec.
> Execution completed successfully
> Mapred Local Task Succeeded . Convert the Join into MapJoin
> Mapred Local Task Succeeded . Convert the Join into MapJoin
> Launching Job 1 out of 2
> Number of reduce tasks is set to 0 since there's no reduce operator
> 13/09/09 17:22:38 WARN conf.Configuration:
> file:/tmp/hadoop/hive_2013-09-09_17-22-34_848_1629553341892012305/-local-10009/jobconf.xml:a
> attempt to override final parameter: mapred.system.dir; Ignoring.
> 13/09/09 17:22:38 WARN conf.Configuration:
> file:/tmp/hadoop/hive_2013-09-09_17-22-34_848_1629553341892012305/-local-10009/jobconf.xml:a
> attempt to override final parameter: mapred.local.dir; Ignoring.
> Execution log at: /tmp/hadoop/.log
> Job running in-process (local Hadoop)
> Hadoop job information for null: number of mappers: 0; number of reducers: 0
> 2013-09-09 17:22:41,807 null map = 0%, reduce = 0%
> 2013-09-09 17:22:44,814 null map = 100%, reduce = 0%
> Ended Job = job_local_0001
> Execution completed successfully
> Mapred Local Task Succeeded . Convert the Join into MapJoin
> Stage-7 is filtered out by condition resolver.
> OK
> Time taken: 13.138 seconds
> hive (test)> select * from test_09;
> FAILED: SemanticException [Error 10001]: Line 1:14 Table not found 'test_09'
> hive (test)>
> Problem:
> I can't get the created table, namely this CTAS is nonavailable, and this
> table is not created by this hql sentence at all.who can explain for
> me.Thanks.
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