[
https://issues.apache.org/jira/browse/HIVE-27264?focusedWorklogId=857080&page=com.atlassian.jira.plugin.system.issuetabpanels:worklog-tabpanel#worklog-857080
]
ASF GitHub Bot logged work on HIVE-27264:
-----------------------------------------
Author: ASF GitHub Bot
Created on: 14/Apr/23 14:17
Start Date: 14/Apr/23 14:17
Worklog Time Spent: 10m
Work Description: kasakrisz opened a new pull request, #4237:
URL: https://github.com/apache/hive/pull/4237
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### What changes were proposed in this pull request?
Consider two `RexLiterals` to be equal if they has the same value and sql
type even if the precision in `HivePointLookupOptimizerRule`
### Why are the changes needed?
If such literals are considered to be different the new expression created
by the rule
from
```
AND(IN($0, _UTF-16LE'AAA111':VARCHAR(30) CHARACTER SET "UTF-16LE",
_UTF-16LE'BBB222':VARCHAR(30) CHARACTER SET "UTF-16LE"), IN($0,
_UTF-16LE'AAA111':VARCHAR(14) CHARACTER SET "UTF-16LE",
_UTF-16LE'BBB222':VARCHAR(14) CHARACTER SET "UTF-16LE"))
```
is
```
AND(IS NULL($0), null)
```
### Does this PR introduce _any_ user-facing change?
Yes. Queries affected produce results.
### How was this patch tested?
```
mvn test -Dtest.output.overwrite -Dtest=TestMiniLlapLocalCliDriver
-Dqfile=pointlookup6.q -pl itests/qtest -Pitests
mvn test -Dtest=TestHivePointLookupOptimizerRule -pl ql
```
Issue Time Tracking
-------------------
Worklog Id: (was: 857080)
Remaining Estimate: 0h
Time Spent: 10m
> Literals in conjunction of two in expression are considered not equals if
> type precision is different
> -----------------------------------------------------------------------------------------------------
>
> Key: HIVE-27264
> URL: https://issues.apache.org/jira/browse/HIVE-27264
> Project: Hive
> Issue Type: Bug
> Components: CBO
> Reporter: Krisztian Kasa
> Assignee: Krisztian Kasa
> Priority: Major
> Time Spent: 10m
> Remaining Estimate: 0h
>
> {code}
> create table r_table (
> string_col varchar(30)
> );
> create table l_table (
> string_col varchar(14)
> );
> insert into r_table VALUES ('AAA111');
> insert into l_table VALUES ('AAA111');
> SELECT l_table.string_col from l_table, r_table
> WHERE r_table.string_col = l_table.string_col AND l_table.string_col IN
> ('AAA111', 'BBB222') AND r_table.string_col IN ('AAA111', 'BBB222');
> {code}
> Should give one row
> {code}
> AAA111
> {code}
> but it returns empty rs
> Workaround
> {code}
> set hive.optimize.point.lookup=false;
> {code}
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