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https://issues.apache.org/jira/browse/HIVE-24761?focusedWorklogId=601247&page=com.atlassian.jira.plugin.system.issuetabpanels:worklog-tabpanel#worklog-601247
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ASF GitHub Bot logged work on HIVE-24761:
-----------------------------------------

                Author: ASF GitHub Bot
            Created on: 24/May/21 15:56
            Start Date: 24/May/21 15:56
    Worklog Time Spent: 10m 
      Work Description: ramesh0201 commented on pull request #2099:
URL: https://github.com/apache/hive/pull/2099#issuecomment-847144409


   +1 looks good to me


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

    Worklog Id:     (was: 601247)
    Time Spent: 3.5h  (was: 3h 20m)

> 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: 3.5h
>  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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