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https://issues.apache.org/jira/browse/HIVE-26524?focusedWorklogId=814068&page=com.atlassian.jira.plugin.system.issuetabpanels:worklog-tabpanel#worklog-814068
 ]

ASF GitHub Bot logged work on HIVE-26524:
-----------------------------------------

                Author: ASF GitHub Bot
            Created on: 05/Oct/22 20:05
            Start Date: 05/Oct/22 20:05
    Worklog Time Spent: 10m 
      Work Description: kasakrisz commented on code in PR #3588:
URL: https://github.com/apache/hive/pull/3588#discussion_r985791359


##########
ql/src/test/results/clientpositive/llap/auto_join21.q.out:
##########
@@ -43,37 +45,38 @@ STAGE PLANS:
                         outputColumnNames: _col0, _col1, _col2, _col3
                         input vertices:
                           1 Map 2
-                        Statistics: Num rows: 1 Data size: 356 Basic stats: 
COMPLETE Column stats: COMPLETE
+                        Statistics: Num rows: 55 Data size: 19580 Basic stats: 
COMPLETE Column stats: COMPLETE
                         Reduce Output Operator
                           key expressions: _col2 (type: string)
                           null sort order: z
                           sort order: +
                           Map-reduce partition columns: _col2 (type: string)
-                          Statistics: Num rows: 1 Data size: 356 Basic stats: 
COMPLETE Column stats: COMPLETE
+                          Statistics: Num rows: 55 Data size: 19580 Basic 
stats: COMPLETE Column stats: COMPLETE
                           value expressions: _col0 (type: string), _col1 
(type: string), _col3 (type: string)
             Execution mode: vectorized, llap
             LLAP IO: all inputs
         Map 2 
             Map Operator Tree:
                 TableScan
                   alias: src2
+                  filterExpr: ((UDFToDouble(key) > 9.0D) and (UDFToDouble(key) 
< 11.0D)) (type: boolean)
                   Statistics: Num rows: 500 Data size: 89000 Basic stats: 
COMPLETE Column stats: COMPLETE
-                  Limit
-                    Number of rows: 0
-                    Statistics: Num rows: 1 Data size: 178 Basic stats: 
COMPLETE Column stats: COMPLETE
+                  Filter Operator
+                    predicate: ((UDFToDouble(key) > 9.0D) and 
(UDFToDouble(key) < 11.0D)) (type: boolean)
+                    Statistics: Num rows: 55 Data size: 9790 Basic stats: 
COMPLETE Column stats: COMPLETE

Review Comment:
   Added comments to the jira.



##########
ql/src/test/queries/clientpositive/antijoin.q:
##########
@@ -44,7 +44,7 @@ explain cbo select a.key, a.value from t1_n55 a left join 
t2_n33 b on a.key=b.ke
 select a.key, a.value from t1_n55 a left join t2_n33 b on a.key=b.key join 
t3_n12 c on a.key=c.key where b.key is null  sort by a.key, a.value;
 
 

Issue Time Tracking
-------------------

    Worklog Id:     (was: 814068)
    Time Spent: 6h 20m  (was: 6h 10m)

> Use Calcite to remove sections of a query plan known never produces rows
> ------------------------------------------------------------------------
>
>                 Key: HIVE-26524
>                 URL: https://issues.apache.org/jira/browse/HIVE-26524
>             Project: Hive
>          Issue Type: Improvement
>          Components: CBO
>            Reporter: Krisztian Kasa
>            Assignee: Krisztian Kasa
>            Priority: Major
>              Labels: pull-request-available
>          Time Spent: 6h 20m
>  Remaining Estimate: 0h
>
> Calcite has a set of rules to remove sections of a query plan known never 
> produces any rows. In some cases the whole plan can be removed. Such plans 
> are represented with a single {{Values}} operators with no tuples. ex.:
> {code:java}
> select y + 1 from (select a1 y, b1 z from t1 where b1 > 10) q WHERE 1=0
> {code}
> {code:java}
> HiveValues(tuples=[[]])
> {code}
> Other cases when plan has outer join or set operators some branches can be 
> replaced with empty values moving forward in some cases the join/set operator 
> can be removed
> {code:java}
> select a2, b2 from t2 where 1=0
> union
> select a1, b1 from t1
> {code}
> {code:java}
> HiveAggregate(group=[{0, 1}])
>   HiveTableScan(table=[[default, t1]], table:alias=[t1])
> {code}



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