Github user nongli commented on a diff in the pull request:
https://github.com/apache/spark/pull/12379#discussion_r59904543
--- Diff:
sql/core/src/test/scala/org/apache/spark/sql/execution/BenchmarkWholeStageCodegen.scala
---
@@ -180,9 +180,47 @@ class BenchmarkWholeStageCodegen extends SparkFunSuite
{
Intel(R) Core(TM) i7-4960HQ CPU @ 2.60GHz
Aggregate w keys: Best/Avg Time(ms) Rate(M/s)
Per Row(ns) Relative
-------------------------------------------------------------------------------------------
- codegen = F 2219 / 2392 9.4
105.8 1.0X
- codegen = T hashmap = F 1330 / 1466 15.8
63.4 1.7X
- codegen = T hashmap = T 384 / 518 54.7
18.3 5.8X
+ codegen = F 2323 / 2567 9.0
110.8 1.0X
+ codegen = T hashmap = F 1182 / 1246 17.7
56.4 2.0X
+ codegen = T hashmap = T 381 / 489 55.0
18.2 6.1X
+ */
+ }
+
+ ignore("aggregate with randomized keys") {
+ val N = 20 << 20
+
+ val benchmark = new Benchmark("Aggregate w keys", N)
+ sqlContext.range(N).selectExpr("id", "floor(rand() * 10000) as
k").registerTempTable("test")
+
+ def f(): Unit = sqlContext.sql("select k, k, sum(id) from test group
by k, k").collect()
--- End diff --
what does this plan look like?
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