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https://issues.apache.org/jira/browse/HIVE-16924?focusedWorklogId=205068&page=com.atlassian.jira.plugin.system.issuetabpanels:worklog-tabpanel#worklog-205068
]
ASF GitHub Bot logged work on HIVE-16924:
-----------------------------------------
Author: ASF GitHub Bot
Created on: 27/Feb/19 09:21
Start Date: 27/Feb/19 09:21
Worklog Time Spent: 10m
Work Description: miklosgergely commented on pull request #544:
HIVE-16924 Support distinct in presence of Group By
URL: https://github.com/apache/hive/pull/544#discussion_r260656405
##########
File path:
ql/src/test/results/clientpositive/distinct_groupby_without_cbo.q.out
##########
@@ -0,0 +1,2018 @@
+PREHOOK: query: explain select distinct count(a.value) from src a group by
a.key
+PREHOOK: type: QUERY
+PREHOOK: Input: default@src
+#### A masked pattern was here ####
+POSTHOOK: query: explain select distinct count(a.value) from src a group by
a.key
+POSTHOOK: type: QUERY
+POSTHOOK: Input: default@src
+#### A masked pattern was here ####
+STAGE DEPENDENCIES:
+ Stage-1 is a root stage
+ Stage-0 depends on stages: Stage-1
+
+STAGE PLANS:
+ Stage: Stage-1
+ Map Reduce
+ Map Operator Tree:
+ TableScan
+ alias: a
+ Statistics: Num rows: 500 Data size: 89000 Basic stats: COMPLETE
Column stats: COMPLETE
+ Select Operator
+ expressions: key (type: string), value (type: string)
+ outputColumnNames: key, value
+ Statistics: Num rows: 500 Data size: 89000 Basic stats: COMPLETE
Column stats: COMPLETE
+ Group By Operator
+ aggregations: count(value)
+ keys: key (type: string)
+ mode: hash
+ outputColumnNames: _col0, _col1
+ Statistics: Num rows: 250 Data size: 23750 Basic stats:
COMPLETE Column stats: COMPLETE
+ Reduce Output Operator
+ key expressions: _col0 (type: string)
+ sort order: +
+ Map-reduce partition columns: _col0 (type: string)
+ Statistics: Num rows: 250 Data size: 23750 Basic stats:
COMPLETE Column stats: COMPLETE
+ value expressions: _col1 (type: bigint)
+ Execution mode: vectorized
+ Reduce Operator Tree:
+ Group By Operator
+ aggregations: count(VALUE._col0)
+ keys: KEY._col0 (type: string)
+ mode: mergepartial
+ outputColumnNames: _col0, _col1
+ Statistics: Num rows: 250 Data size: 23750 Basic stats: COMPLETE
Column stats: COMPLETE
+ Select Operator
+ expressions: _col1 (type: bigint)
+ outputColumnNames: _col0
+ Statistics: Num rows: 250 Data size: 2000 Basic stats: COMPLETE
Column stats: COMPLETE
+ File Output Operator
+ compressed: false
+ Statistics: Num rows: 250 Data size: 2000 Basic stats: COMPLETE
Column stats: COMPLETE
+ table:
+ input format:
org.apache.hadoop.mapred.SequenceFileInputFormat
+ output format:
org.apache.hadoop.hive.ql.io.HiveSequenceFileOutputFormat
+ serde: org.apache.hadoop.hive.serde2.lazy.LazySimpleSerDe
+
+ Stage: Stage-0
+ Fetch Operator
+ limit: -1
+ Processor Tree:
+ ListSink
+
+PREHOOK: query: select distinct count(a.value) from src a group by a.key
+PREHOOK: type: QUERY
+PREHOOK: Input: default@src
+#### A masked pattern was here ####
+POSTHOOK: query: select distinct count(a.value) from src a group by a.key
+POSTHOOK: type: QUERY
+POSTHOOK: Input: default@src
+#### A masked pattern was here ####
+3
+1
+2
+2
+2
+1
Review comment:
this is removed, due to the error, for now we don't support distinct with
group by and aggregagte function if cbo is not enabled
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Issue Time Tracking
-------------------
Worklog Id: (was: 205068)
Time Spent: 3h 50m (was: 3h 40m)
> Support distinct in presence of Group By
> -----------------------------------------
>
> Key: HIVE-16924
> URL: https://issues.apache.org/jira/browse/HIVE-16924
> Project: Hive
> Issue Type: New Feature
> Components: Query Planning
> Reporter: Carter Shanklin
> Assignee: Miklos Gergely
> Priority: Major
> Labels: pull-request-available
> Attachments: HIVE-16924.01.patch, HIVE-16924.02.patch,
> HIVE-16924.03.patch, HIVE-16924.04.patch, HIVE-16924.05.patch,
> HIVE-16924.06.patch, HIVE-16924.07.patch, HIVE-16924.08.patch,
> HIVE-16924.09.patch, HIVE-16924.10.patch
>
> Time Spent: 3h 50m
> Remaining Estimate: 0h
>
> {code:sql}
> create table e011_01 (c1 int, c2 smallint);
> insert into e011_01 values (1, 1), (2, 2);
> {code}
> These queries should work:
> {code:sql}
> select distinct c1, count(*) from e011_01 group by c1;
> select distinct c1, avg(c2) from e011_01 group by c1;
> {code}
> Currently, you get :
> FAILED: SemanticException 1:52 SELECT DISTINCT and GROUP BY can not be in the
> same query. Error encountered near token 'c1'
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