[jira] [Commented] (HIVE-7023) Bucket mapjoin is broken when the number of small aliases is two or more

["Hive QA (JIRA)" <ji...@apache.org>]

    [ https://issues.apache.org/jira/browse/HIVE-7023?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=13993647#comment-13993647 ] 

Hive QA commented on HIVE-7023:
-------------------------------



{color:red}Overall{color}: -1 at least one tests failed

Here are the results of testing the latest attachment:
https://issues.apache.org/jira/secure/attachment/12643890/HIVE-7023.2.patch.txt

{color:red}ERROR:{color} -1 due to 5 failed/errored test(s), 5500 tests executed
*Failed tests:*
{noformat}
org.apache.hadoop.hive.cli.TestCliDriver.testCliDriver_stats_partscan_1_23
org.apache.hadoop.hive.cli.TestMiniTezCliDriver.testCliDriver_bucket_map_join_tez1
org.apache.hadoop.hive.cli.TestMiniTezCliDriver.testCliDriver_insert1
org.apache.hadoop.hive.cli.TestMiniTezCliDriver.testCliDriver_tez_dml
org.apache.hadoop.hive.cli.TestMinimrCliDriver.testCliDriver_root_dir_external_table
{noformat}

Test results: http://ec2-174-129-184-35.compute-1.amazonaws.com/jenkins/job/PreCommit-HIVE-Build/152/testReport
Console output: http://ec2-174-129-184-35.compute-1.amazonaws.com/jenkins/job/PreCommit-HIVE-Build/152/console

Messages:
{noformat}
Executing org.apache.hive.ptest.execution.PrepPhase
Executing org.apache.hive.ptest.execution.ExecutionPhase
Executing org.apache.hive.ptest.execution.ReportingPhase
Tests exited with: TestsFailedException: 5 tests failed
{noformat}

This message is automatically generated.

ATTACHMENT ID: 12643890

> Bucket mapjoin is broken when the number of small aliases is two or more
> ------------------------------------------------------------------------
>
>                 Key: HIVE-7023
>                 URL: https://issues.apache.org/jira/browse/HIVE-7023
>             Project: Hive
>          Issue Type: Bug
>          Components: Query Processor
>    Affects Versions: 0.13.0
>            Reporter: Navis
>            Assignee: Navis
>             Fix For: 0.14.0
>
>         Attachments: HIVE-7023.1.patch.txt, HIVE-7023.2.patch.txt
>
>
> From auto_sortmerge_join_11.q,
> {noformat}
> -- small 1 part, 2 bucket & big 2 part, 4 bucket
> CREATE TABLE bucket_small (key string, value string) partitioned by (ds string) CLUSTERED BY (key) INTO 2 BUCKETS STORED AS TEXTFILE;
> load data local inpath '../../data/files/smallsrcsortbucket1outof4.txt' INTO TABLE bucket_small partition(ds='2008-04-08');
> load data local inpath '../../data/files/smallsrcsortbucket2outof4.txt' INTO TABLE bucket_small partition(ds='2008-04-08');
> CREATE TABLE bucket_big (key string, value string) partitioned by (ds string) CLUSTERED BY (key) INTO 4 BUCKETS STORED AS TEXTFILE;
> load data local inpath '../../data/files/srcsortbucket1outof4.txt' INTO TABLE bucket_big partition(ds='2008-04-08');
> load data local inpath '../../data/files/srcsortbucket2outof4.txt' INTO TABLE bucket_big partition(ds='2008-04-08');
> load data local inpath '../../data/files/srcsortbucket3outof4.txt' INTO TABLE bucket_big partition(ds='2008-04-08');
> load data local inpath '../../data/files/srcsortbucket4outof4.txt' INTO TABLE bucket_big partition(ds='2008-04-08');
> load data local inpath '../../data/files/srcsortbucket1outof4.txt' INTO TABLE bucket_big partition(ds='2008-04-09');
> load data local inpath '../../data/files/srcsortbucket2outof4.txt' INTO TABLE bucket_big partition(ds='2008-04-09');
> load data local inpath '../../data/files/srcsortbucket3outof4.txt' INTO TABLE bucket_big partition(ds='2008-04-09');
> load data local inpath '../../data/files/srcsortbucket4outof4.txt' INTO TABLE bucket_big partition(ds='2008-04-09');
> set hive.auto.convert.join=true;
> set hive.ignore.mapjoin.hint=false;
> set hive.auto.convert.sortmerge.join=true;
> set hive.optimize.bucketmapjoin=true;
> set hive.optimize.bucketmapjoin.sortedmerge=true;
> select /* + MAPJOIN(a,b) */ count(*) FROM bucket_small a JOIN bucket_big b ON a.key = b.key JOIN bucket_big c ON a.key = c.key;
> {noformat}
> The last query produces 0 row, instead of 180 rows, which is correct.



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