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https://issues.apache.org/jira/browse/HIVE-5560?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Phabricator updated HIVE-5560:
------------------------------
Attachment: D13599.2.patch
navis updated the revision "HIVE-5560 [jira] Hive produces incorrect results on
multi-distinct query".
Fixed test results
Reviewers: JIRA
REVISION DETAIL
https://reviews.facebook.net/D13599
CHANGE SINCE LAST DIFF
https://reviews.facebook.net/D13599?vs=41997&id=42021#toc
AFFECTED FILES
ql/src/java/org/apache/hadoop/hive/ql/parse/SemanticAnalyzer.java
ql/src/test/queries/clientpositive/groupby2_map_multi_distinct.q
ql/src/test/results/clientpositive/auto_join18_multi_distinct.q.out
ql/src/test/results/clientpositive/count.q.out
ql/src/test/results/clientpositive/groupby2_map_multi_distinct.q.out
ql/src/test/results/clientpositive/groupby2_noskew_multi_distinct.q.out
ql/src/test/results/clientpositive/groupby3_map_multi_distinct.q.out
ql/src/test/results/clientpositive/groupby3_noskew_multi_distinct.q.out
ql/src/test/results/clientpositive/groupby_distinct_samekey.q.out
ql/src/test/results/clientpositive/groupby_map_ppr_multi_distinct.q.out
ql/src/test/results/clientpositive/groupby_multi_single_reducer.q.out
ql/src/test/results/clientpositive/groupby_ppr_multi_distinct.q.out
ql/src/test/results/clientpositive/groupby_sort_11.q.out
ql/src/test/results/clientpositive/join18_multi_distinct.q.out
ql/src/test/results/clientpositive/limit_pushdown.q.out
To: JIRA, navis
> Hive produces incorrect results on multi-distinct query
> -------------------------------------------------------
>
> Key: HIVE-5560
> URL: https://issues.apache.org/jira/browse/HIVE-5560
> Project: Hive
> Issue Type: Bug
> Components: Query Processor
> Affects Versions: 0.11.0, 0.12.0
> Reporter: Vikram Dixit K
> Assignee: Navis
> Attachments: D13599.1.patch, D13599.2.patch
>
>
> {noformat}
> select key, count(distinct key) + count(distinct value) from src tablesample
> (10 ROWS) group by key
> POSTHOOK: type: QUERY
> POSTHOOK: Input: default@src
> #### A masked pattern was here ####
> 165 1
> val_165 1
> 238 1
> val_238 1
> 255 1
> val_255 1
> 27 1
> val_27 1
> 278 1
> val_278 1
> 311 1
> val_311 1
> 409 1
> val_409 1
> 484 1
> val_484 1
> 86 1
> val_86 1
> 98 1
> val_98 1
> {noformat}
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