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https://issues.apache.org/jira/browse/HIVE-24143?focusedWorklogId=482307&page=com.atlassian.jira.plugin.system.issuetabpanels:worklog-tabpanel#worklog-482307
 ]

ASF GitHub Bot logged work on HIVE-24143:
-----------------------------------------

                Author: ASF GitHub Bot
            Created on: 11/Sep/20 21:46
            Start Date: 11/Sep/20 21:46
    Worklog Time Spent: 10m 
      Work Description: vineetgarg02 commented on a change in pull request 
#1482:
URL: https://github.com/apache/hive/pull/1482#discussion_r487305188



##########
File path: 
ql/src/test/results/clientpositive/llap/external_jdbc_table_perf.q.out
##########
@@ -6115,32 +6112,39 @@ WHERE "d_year" = 1999 AND "d_moy" BETWEEN 1 AND 3 AND 
"d_date_sk" IS NOT NULL) A
             Reduce Operator Tree:
               Merge Join Operator
                 condition map:
-                     Anti Join 0 to 1
+                     Left Outer Join 0 to 1

Review comment:
       Got it, make sense




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

    Worklog Id:     (was: 482307)
    Time Spent: 50m  (was: 40m)

> Include convention in JDBC converter operator in Calcite plan
> -------------------------------------------------------------
>
>                 Key: HIVE-24143
>                 URL: https://issues.apache.org/jira/browse/HIVE-24143
>             Project: Hive
>          Issue Type: Improvement
>          Components: CBO
>    Affects Versions: 4.0.0
>            Reporter: Jesus Camacho Rodriguez
>            Assignee: Jesus Camacho Rodriguez
>            Priority: Minor
>              Labels: pull-request-available
>          Time Spent: 50m
>  Remaining Estimate: 0h
>
> Among others, it will be useful to debug the dialect being chosen for query 
> generation. For instance:
> {code}
>  HiveProject(jdbc_type_conversion_table1.ikey=[$0], 
> jdbc_type_conversion_table1.bkey=[$1], jdbc_type_conversion_table1.fkey=[$2], 
> jdbc_type_conversion_table1.dkey=[$3], 
> jdbc_type_conversion_table1.chkey=[$4], 
> jdbc_type_conversion_table1.dekey=[$5], 
> jdbc_type_conversion_table1.dtkey=[$6], jdbc_type_conversion_table1.tkey=[$7])
>   HiveProject(ikey=[$0], bkey=[$1], fkey=[$2], dkey=[$3], chkey=[$4], 
> dekey=[$5], dtkey=[$6], tkey=[$7])
> ----->    HiveJdbcConverter(convention=[JDBC.DERBY])
>       JdbcHiveTableScan(table=[[default, jdbc_type_conversion_table1]], 
> table:alias=[jdbc_type_conversion_table1])
> {code}



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