Github user rxin commented on a diff in the pull request:
https://github.com/apache/spark/pull/12067#discussion_r58969343
--- Diff:
sql/core/src/test/scala/org/apache/spark/sql/DatasetBenchmark.scala ---
@@ -135,12 +175,26 @@ object DatasetBenchmark {
benchmark.run()
/*
+ Java HotSpot(TM) 64-Bit Server VM 1.8.0_60-b27 on Mac OS X 10.11.4
+ Intel(R) Core(TM) i7-4960HQ CPU @ 2.60GHz
back-to-back filter: Best/Avg Time(ms) Rate(M/s)
Per Row(ns) Relative
-------------------------------------------------------------------------------------------
Dataset 585 / 628 17.1
58.5 1.0X
DataFrame 62 / 80 160.7
6.2 9.4X
RDD 205 / 220 48.7
20.5 2.8X
*/
benchmark2.run()
+
+ /*
+ Java HotSpot(TM) 64-Bit Server VM 1.8.0_60-b27 on Mac OS X 10.11.4
+ Intel(R) Core(TM) i7-4960HQ CPU @ 2.60GHz
+ aggregate: Best/Avg Time(ms) Rate(M/s)
Per Row(ns) Relative
+
-------------------------------------------------------------------------------------------
+ DataFrame sum 137 / 314 72.7
13.7 1.0X
--- End diff --
we need to increase the datasize by at least an order of magnitude (maybe
even two orders of magnitude).
the dataframe sum should be between 1ns - 2ns per row.
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