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Posted to reviews@spark.apache.org by GitBox <gi...@apache.org> on 2019/07/29 03:59:10 UTC
[GitHub] [spark] maropu edited a comment on issue #25279:
[WIP][SPARK-28519][SQL] Use StrictMath log,
pow functions for platform independence
maropu edited a comment on issue #25279: [WIP][SPARK-28519][SQL] Use StrictMath log, pow functions for platform independence
URL: https://github.com/apache/spark/pull/25279#issuecomment-515833431
I quickly checked performance numbers on my local;
```
// on Mac (2 GHz Intel Core i5)
// java version "1.8.0_181"
// Java(TM) SE Runtime Environment (build 1.8.0_181-b13)
// Java HotSpot(TM) 64-Bit Server VM (build 25.181-b13, mixed mode)
scala> spark.range(30000000L).selectExpr("acosh(id)").write.format("noop").save()
w/Math
Elapsed time: 0.5992446991111111s
w/StrictMath
Elapsed time: 1.1835621365555555s
```
As you said in the mail, there are some overheads on x86/64.
Could you check them on power, @kiszk ?
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