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https://issues.apache.org/jira/browse/SPARK-10100?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Herman van Hovell updated SPARK-10100:
--------------------------------------
    Attachment: SPARK-10100.perf.test.scala

[~yhuai] I did some benchmarking today (results are below). First off, I 
couldn't find a major regression (~1%) when switching from the old MIN/MAX 
functions to the new functions; what did you find? The modified functions 
perform about 2% better than the old interface.
{noformat}
MASTER Aggregate2
Benchmark
 [0]: 15890 ms.
 [1]: 15968 ms.
 [2]: 15590 ms.
 [3]: 15605 ms.
 [4]: 15712 ms.
 [5]: 15489 ms.
 [6]: 15610 ms.
 [7]: 15741 ms.
 [8]: 15632 ms.
 [9]: 15570 ms.
 [10]: 15638 ms.
 avg. 15676 ms.

MASTER Aggregate1
Benchmark
 [0]: 15543 ms.
 [1]: 15569 ms.
 [2]: 15613 ms.
 [3]: 15538 ms.
 [4]: 15588 ms.
 [5]: 15655 ms.
 [6]: 15599 ms.
 [7]: 15654 ms.
 [8]: 15517 ms.
 [9]: 15622 ms.
 [10]: 15562 ms.
 avg. 15587 ms.

MASTER Aggregate2 Modified
Benchmark
 [0]: 15281 ms.
 [1]: 15397 ms.
 [2]: 15644 ms.
 [3]: 15367 ms.
 [4]: 15490 ms.
 [5]: 15229 ms.
 [6]: 15148 ms.
 [7]: 15142 ms.
 [8]: 15268 ms.
 [9]: 15277 ms.
 [10]: 15286 ms.
 avg. 15320 ms.
{noformat}

> AggregateFunction2's Max is slower than AggregateExpression1's MaxFunction
> --------------------------------------------------------------------------
>
>                 Key: SPARK-10100
>                 URL: https://issues.apache.org/jira/browse/SPARK-10100
>             Project: Spark
>          Issue Type: Sub-task
>          Components: SQL
>    Affects Versions: 1.5.0
>            Reporter: Yin Huai
>            Assignee: Herman van Hovell
>         Attachments: SPARK-10100.perf.test.scala
>
>
> Looks like Max (probably Min) implemented based on AggregateFunction2 is 
> slower than the old MaxFunction.



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