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https://issues.apache.org/jira/browse/HIVE-26524?focusedWorklogId=813623&page=com.atlassian.jira.plugin.system.issuetabpanels:worklog-tabpanel#worklog-813623
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ASF GitHub Bot logged work on HIVE-26524:
-----------------------------------------
Author: ASF GitHub Bot
Created on: 30/Sep/22 09:11
Start Date: 30/Sep/22 09:11
Worklog Time Spent: 10m
Work Description: asolimando commented on code in PR #3588:
URL: https://github.com/apache/hive/pull/3588#discussion_r984386036
##########
ql/src/test/results/clientpositive/llap/float_equality.q.out:
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@@ -9,9 +9,7 @@ POSTHOOK: Input: _dummy_database@_dummy_table
1
PREHOOK: query: select 1 where -0.0<0.0
PREHOOK: type: QUERY
-PREHOOK: Input: _dummy_database@_dummy_table
Review Comment:
In my understanding the scan is involved in an empty sub-plan that now is
not executed, so the scan does not take place.
Issue Time Tracking
-------------------
Worklog Id: (was: 813623)
Time Spent: 4.5h (was: 4h 20m)
> 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: 4.5h
> 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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