Github user davies commented on a diff in the pull request:
https://github.com/apache/spark/pull/13065#discussion_r87040958
--- Diff:
sql/core/src/test/scala/org/apache/spark/sql/execution/benchmark/MiscBenchmark.scala
---
@@ -124,12 +124,124 @@ class MiscBenchmark extends BenchmarkBase {
}
benchmark.run()
- /**
+ /*
model name : Westmere E56xx/L56xx/X56xx (Nehalem-C)
collect limit: Best/Avg Time(ms) Rate(M/s)
Per Row(ns) Relative
-------------------------------------------------------------------------------------------
collect limit 1 million 833 / 1284 1.3
794.4 1.0X
collect limit 2 millions 3348 / 4005 0.3
3193.3 0.2X
*/
}
+
+ ignore("generate explode") {
+ val N = 1 << 24
+ runBenchmark("generate explode array", N) {
+ val df = sparkSession.range(N).selectExpr(
+ "id as key",
+ "array(rand(), rand(), rand(), rand(), rand()) as values")
+ df.selectExpr("key", "explode(values) value").count()
+ }
+
+ /*
+ Java HotSpot(TM) 64-Bit Server VM 1.8.0_92-b14 on Mac OS X 10.11.6
+ Intel(R) Core(TM) i7-4980HQ CPU @ 2.80GHz
+
+ generate explode array: Best/Avg Time(ms)
Rate(M/s) Per Row(ns) Relative
+
------------------------------------------------------------------------------------------------
+ generate explode array wholestage off 6920 / 7129 2.4
412.5 1.0X
+ generate explode array wholestage on 623 / 646 26.9
37.1 11.1X
--- End diff --
Could you post the result before and after this patch? so we can know
what's the improvement come from this patch.
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