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https://issues.apache.org/jira/browse/HIVE-23954?focusedWorklogId=504524&page=com.atlassian.jira.plugin.system.issuetabpanels:worklog-tabpanel#worklog-504524
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ASF GitHub Bot logged work on HIVE-23954:
-----------------------------------------
Author: ASF GitHub Bot
Created on: 25/Oct/20 01:01
Start Date: 25/Oct/20 01:01
Worklog Time Spent: 10m
Work Description: github-actions[bot] commented on pull request #1414:
URL: https://github.com/apache/hive/pull/1414#issuecomment-716076818
This pull request has been automatically marked as stale because it has not
had recent activity. It will be closed if no further activity occurs.
Feel free to reach out on the [email protected] list if the patch is in
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Issue Time Tracking
-------------------
Worklog Id: (was: 504524)
Time Spent: 40m (was: 0.5h)
> count(*) with count(distinct) gives wrong results with
> hive.optimize.countdistinct=true
> ---------------------------------------------------------------------------------------
>
> Key: HIVE-23954
> URL: https://issues.apache.org/jira/browse/HIVE-23954
> Project: Hive
> Issue Type: Bug
> Components: Logical Optimizer
> Affects Versions: 3.0.0, 3.1.0
> Reporter: Eugene Chung
> Assignee: Eugene Chung
> Priority: Major
> Labels: pull-request-available
> Attachments: HIVE-23954.01.patch, HIVE-23954.01.patch
>
> Time Spent: 40m
> Remaining Estimate: 0h
>
> {code:java}
> select count(*), count(distinct mid) from db1.table1 where partitioned_column
> = '...'{code}
>
> is not working properly when hive.optimize.countdistinct is true. By default,
> it's true for all 3.x versions.
> In the two plans below, the aggregations part in the Output of Group By
> Operator of Map 1 are different.
>
> - hive.optimize.countdistinct=false
> {code:java}
> +----------------------------------------------------+
> | Explain |
> +----------------------------------------------------+
> | Plan optimized by CBO. |
> | |
> | Vertex dependency in root stage |
> | Reducer 2 <- Map 1 (SIMPLE_EDGE) |
> | |
> | Stage-0 |
> | Fetch Operator |
> | limit:-1 |
> | Stage-1 |
> | Reducer 2 |
> | File Output Operator [FS_7] |
> | Group By Operator [GBY_5] (rows=1 width=24) |
> |
> Output:["_col0","_col1"],aggregations:["count(VALUE._col0)","count(DISTINCT
> KEY._col0:0._col0)"] |
> | <-Map 1 [SIMPLE_EDGE] |
> | SHUFFLE [RS_4] |
> | Group By Operator [GBY_3] (rows=343640771 width=4160) |
> |
> Output:["_col0","_col1","_col2"],aggregations:["count()","count(DISTINCT
> mid)"],keys:mid |
> | Select Operator [SEL_2] (rows=343640771 width=4160) |
> | Output:["mid"] |
> | TableScan [TS_0] (rows=343640771 width=4160) |
> | db1@table1,table1,Tbl:COMPLETE,Col:NONE,Output:["mid"] |
> | |
> +----------------------------------------------------+{code}
>
> - hive.optimize.countdistinct=true
> {code:java}
> +----------------------------------------------------+
> | Explain |
> +----------------------------------------------------+
> | Plan optimized by CBO. |
> | |
> | Vertex dependency in root stage |
> | Reducer 2 <- Map 1 (SIMPLE_EDGE) |
> | |
> | Stage-0 |
> | Fetch Operator |
> | limit:-1 |
> | Stage-1 |
> | Reducer 2 |
> | File Output Operator [FS_7] |
> | Group By Operator [GBY_14] (rows=1 width=16) |
> |
> Output:["_col0","_col1"],aggregations:["count(_col1)","count(_col0)"] |
> | Group By Operator [GBY_11] (rows=343640771 width=4160) |
> |
> Output:["_col0","_col1"],aggregations:["count(VALUE._col0)"],keys:KEY._col0 |
> | <-Map 1 [SIMPLE_EDGE] |
> | SHUFFLE [RS_10] |
> | PartitionCols:_col0 |
> | Group By Operator [GBY_9] (rows=343640771 width=4160) |
> | Output:["_col0","_col1"],aggregations:["count()"],keys:mid |
> | Select Operator [SEL_2] (rows=343640771 width=4160) |
> | Output:["mid"] |
> | TableScan [TS_0] (rows=343640771 width=4160) |
> | db1@table1,table1,Tbl:COMPLETE,Col:NONE,Output:["mid"] |
> | |
> +----------------------------------------------------+
> {code}
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