[
https://issues.apache.org/jira/browse/HIVE-24746?focusedWorklogId=550161&page=com.atlassian.jira.plugin.system.issuetabpanels:worklog-tabpanel#worklog-550161
]
ASF GitHub Bot logged work on HIVE-24746:
-----------------------------------------
Author: ASF GitHub Bot
Created on: 09/Feb/21 10:16
Start Date: 09/Feb/21 10:16
Worklog Time Spent: 10m
Work Description: abstractdog commented on pull request #1950:
URL: https://github.com/apache/hive/pull/1950#issuecomment-775826706
> Hey @abstractdog change makes sense to me -- question is how often do we
really call the TsBoundary Scanner during range computation? Is the test
representative of the scanario?
>
> Would the optimization make sense to other types as well e.g.,
TimestampLocalTZ or Date?
this could be heavy code path yes, as in case range based windows, every row
needs to be checked:
```
at
org.apache.hadoop.hive.common.type.Timestamp.setTimeInSeconds(Timestamp.java:133)
at
org.apache.hadoop.hive.serde2.io.TimestampWritableV2.populateTimestamp(TimestampWritableV2.java:401)
at
org.apache.hadoop.hive.serde2.io.TimestampWritableV2.getTimestamp(TimestampWritableV2.java:210)
at
org.apache.hadoop.hive.serde2.objectinspector.primitive.PrimitiveObjectInspectorUtils.getTimestamp(PrimitiveObjectInspectorUtils.java:1239)
at
org.apache.hadoop.hive.serde2.objectinspector.primitive.PrimitiveObjectInspectorUtils.getTimestamp(PrimitiveObjectInspectorUtils.java:1181)
at
org.apache.hadoop.hive.ql.udf.ptf.TimestampValueBoundaryScanner.isEqual(ValueBoundaryScanner.java:848)
at
org.apache.hadoop.hive.ql.udf.ptf.SingleValueBoundaryScanner.computeEndCurrentRow(ValueBoundaryScanner.java:593)
at
org.apache.hadoop.hive.ql.udf.ptf.SingleValueBoundaryScanner.computeEnd(ValueBoundaryScanner.java:530)
at
org.apache.hadoop.hive.ql.udf.ptf.BasePartitionEvaluator.getRange(BasePartitionEvaluator.java:273)
at
org.apache.hadoop.hive.ql.udf.ptf.BasePartitionEvaluator.iterate(BasePartitionEvaluator.java:219)
at
org.apache.hadoop.hive.ql.udf.ptf.WindowingTableFunction.evaluateWindowFunction(WindowingTableFunction.java:147)
at
org.apache.hadoop.hive.ql.udf.ptf.WindowingTableFunction.access$100(WindowingTableFunction.java:61)
at
org.apache.hadoop.hive.ql.udf.ptf.WindowingTableFunction$WindowingIterator.next(WindowingTableFunction.java:755)
at
org.apache.hadoop.hive.ql.exec.PTFOperator$PTFInvocation.finishPartition(PTFOperator.java:373)
at
org.apache.hadoop.hive.ql.exec.PTFOperator.closeOp(PTFOperator.java:104)
at org.apache.hadoop.hive.ql.exec.Operator.close(Operator.java:732)
at org.apache.hadoop.hive.ql.exec.Operator.close(Operator.java:756)
at
org.apache.hadoop.hive.ql.exec.tez.ReduceRecordProcessor.close(ReduceRecordProcessor.java:383)
at
org.apache.hadoop.hive.ql.exec.tez.TezProcessor.initializeAndRunProcessor(TezProcessor.java:284)
at
org.apache.hadoop.hive.ql.exec.tez.TezProcessor.run(TezProcessor.java:250)
```
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Issue Time Tracking
-------------------
Worklog Id: (was: 550161)
Time Spent: 1h (was: 50m)
> PTF: TimestampValueBoundaryScanner can be optimised during range computation
> ----------------------------------------------------------------------------
>
> Key: HIVE-24746
> URL: https://issues.apache.org/jira/browse/HIVE-24746
> Project: Hive
> Issue Type: Improvement
> Reporter: László Bodor
> Assignee: László Bodor
> Priority: Major
> Labels: pull-request-available
> Time Spent: 1h
> Remaining Estimate: 0h
>
> During range computation, timestamp ranges become a hotspot due to
> "TimeStamp" comparisons. It has to construct the entire TimeStamp object via
> OI (which incurs LocalTime computation etc internally).
>
> All these are done for "equals" comparison which can be done with "seconds &
> nanoseconds" present in TimeStamp.
>
> [https://github.com/apache/hive/blob/master/ql/src/java/org/apache/hadoop/hive/ql/udf/ptf/ValueBoundaryScanner.java#L852]
>
>
> Request is to explore optimising this code path, so that equals() can be
> performed with "seconds/nanoseconds" instead of entire timestamp
>
> {noformat}
> at
> org.apache.hadoop.hive.common.type.Timestamp.setTimeInSeconds(Timestamp.java:133)
> at
> org.apache.hadoop.hive.serde2.io.TimestampWritableV2.populateTimestamp(TimestampWritableV2.java:401)
> at
> org.apache.hadoop.hive.serde2.io.TimestampWritableV2.getTimestamp(TimestampWritableV2.java:210)
> at
> org.apache.hadoop.hive.serde2.objectinspector.primitive.PrimitiveObjectInspectorUtils.getTimestamp(PrimitiveObjectInspectorUtils.java:1239)
> at
> org.apache.hadoop.hive.serde2.objectinspector.primitive.PrimitiveObjectInspectorUtils.getTimestamp(PrimitiveObjectInspectorUtils.java:1181)
> at
> org.apache.hadoop.hive.ql.udf.ptf.TimestampValueBoundaryScanner.isEqual(ValueBoundaryScanner.java:848)
> at
> org.apache.hadoop.hive.ql.udf.ptf.SingleValueBoundaryScanner.computeEndCurrentRow(ValueBoundaryScanner.java:593)
> at
> org.apache.hadoop.hive.ql.udf.ptf.SingleValueBoundaryScanner.computeEnd(ValueBoundaryScanner.java:530)
> at
> org.apache.hadoop.hive.ql.udf.ptf.BasePartitionEvaluator.getRange(BasePartitionEvaluator.java:273)
> at
> org.apache.hadoop.hive.ql.udf.ptf.BasePartitionEvaluator.iterate(BasePartitionEvaluator.java:219)
> at
> org.apache.hadoop.hive.ql.udf.ptf.WindowingTableFunction.evaluateWindowFunction(WindowingTableFunction.java:147)
> at
> org.apache.hadoop.hive.ql.udf.ptf.WindowingTableFunction.access$100(WindowingTableFunction.java:61)
> at
> org.apache.hadoop.hive.ql.udf.ptf.WindowingTableFunction$WindowingIterator.next(WindowingTableFunction.java:755)
> at
> org.apache.hadoop.hive.ql.exec.PTFOperator$PTFInvocation.finishPartition(PTFOperator.java:373)
> at
> org.apache.hadoop.hive.ql.exec.PTFOperator.closeOp(PTFOperator.java:104)
> at org.apache.hadoop.hive.ql.exec.Operator.close(Operator.java:732)
> at org.apache.hadoop.hive.ql.exec.Operator.close(Operator.java:756)
> at
> org.apache.hadoop.hive.ql.exec.tez.ReduceRecordProcessor.close(ReduceRecordProcessor.java:383)
> at
> org.apache.hadoop.hive.ql.exec.tez.TezProcessor.initializeAndRunProcessor(TezProcessor.java:284)
> at
> org.apache.hadoop.hive.ql.exec.tez.TezProcessor.run(TezProcessor.java:250)
> {noformat}
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