Github user davies commented on a diff in the pull request:
https://github.com/apache/spark/pull/10735#discussion_r49561979
--- Diff:
sql/core/src/test/scala/org/apache/spark/sql/execution/BenchmarkWholeStageCodegen.scala
---
@@ -0,0 +1,60 @@
+/*
+ * Licensed to the Apache Software Foundation (ASF) under one or more
+ * contributor license agreements. See the NOTICE file distributed with
+ * this work for additional information regarding copyright ownership.
+ * The ASF licenses this file to You under the Apache License, Version 2.0
+ * (the "License"); you may not use this file except in compliance with
+ * the License. You may obtain a copy of the License at
+ *
+ * http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+
+package org.apache.spark.sql.execution
+
+import org.apache.spark.sql.SQLContext
+import org.apache.spark.util.Benchmark
+import org.apache.spark.{SparkFunSuite, SparkConf, SparkContext}
+
+/**
+ * Benchmark to measure whole stage codegen performance.
+ * To run this:
+ * build/sbt sql/test-only *BenchmarkWholeStageCodegen
+ */
+class BenchmarkWholeStageCodegen extends SparkFunSuite {
+ val conf = new SparkConf()
+ val sc = new SparkContext("local[1]", "test-sql-context", conf)
+ val sqlContext = new SQLContext(sc)
+
+ def testWholeStage(values: Int): Unit = {
+ val benchmark = new Benchmark("Single Int Column Scan", values)
+
+ benchmark.addCase("Without whole stage codegen") { iter =>
--- End diff --
I also got 2.5X for the first run, once increased the number of rows, it
became 3.0X, because there are some overhead for both query (catalyst and spark
job).
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