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https://issues.apache.org/jira/browse/HIVE-24761?focusedWorklogId=585574&page=com.atlassian.jira.plugin.system.issuetabpanels:worklog-tabpanel#worklog-585574
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ASF GitHub Bot logged work on HIVE-24761:
-----------------------------------------

                Author: ASF GitHub Bot
            Created on: 20/Apr/21 05:57
            Start Date: 20/Apr/21 05:57
    Worklog Time Spent: 10m 
      Work Description: ramesh0201 commented on a change in pull request #2099:
URL: https://github.com/apache/hive/pull/2099#discussion_r616365379



##########
File path: ql/src/test/results/clientpositive/llap/windowing_udaf.q.out
##########
@@ -503,7 +503,7 @@ alice brown 25.258749999999996
 alice brown    25.529374999999998
 alice brown    25.63012987012987
 alice brown    26.472439024390237
-alice brown    27.100638297872322
+alice brown    27.27881720430106

Review comment:
       Can we have a comment in the PR review of why this is changed after this 
patch




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

    Worklog Id:     (was: 585574)
    Time Spent: 40m  (was: 0.5h)

> Vectorization: Support PTF - bounded start windows
> --------------------------------------------------
>
>                 Key: HIVE-24761
>                 URL: https://issues.apache.org/jira/browse/HIVE-24761
>             Project: Hive
>          Issue Type: Sub-task
>            Reporter: László Bodor
>            Assignee: László Bodor
>            Priority: Major
>              Labels: pull-request-available
>          Time Spent: 40m
>  Remaining Estimate: 0h
>
> {code}
>  notVectorizedReason: PTF operator: *** only UNBOUNDED start frame is 
> supported
> {code}
> Currently, bounded windows are not supported in VectorPTFOperator. If we 
> simply remove the check compile-time:
> https://github.com/apache/hive/blob/master/ql/src/java/org/apache/hadoop/hive/ql/optimizer/physical/Vectorizer.java#L2911
> {code}
>       if (!windowFrameDef.isStartUnbounded()) {
>         setOperatorIssue(functionName + " only UNBOUNDED start frame is 
> supported");
>         return false;
>       }
> {code}
> We get incorrect results, that's because vectorized codepath completely 
> ignores boundaries, and simply iterates through all the input batches in 
> [VectorPTFGroupBatches|https://github.com/apache/hive/blob/master/ql/src/java/org/apache/hadoop/hive/ql/exec/vector/ptf/VectorPTFGroupBatches.java#L172]:
> {code}
>     for (VectorPTFEvaluatorBase evaluator : evaluators) {
>       evaluator.evaluateGroupBatch(batch);
>       if (isLastGroupBatch) {
>         evaluator.doLastBatchWork();
>       }
>     }
> {code}



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