Github user dongjoon-hyun commented on a diff in the pull request:
https://github.com/apache/spark/pull/22823#discussion_r231769889
--- Diff:
sql/core/src/test/scala/org/apache/spark/sql/execution/benchmark/WideTableBenchmark.scala
---
@@ -0,0 +1,52 @@
+/*
+ * 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.benchmark
+
+import org.apache.spark.benchmark.Benchmark
+import org.apache.spark.sql.internal.SQLConf
+
+/**
+ * Benchmark to measure performance for wide table.
+ * {{{
+ * To run this benchmark:
+ * 1. without sbt: bin/spark-submit --class <this class>
+ * --jars <spark core test jar>,<spark catalyst test jar> <spark
sql test jar>
+ * 2. build/sbt "sql/test:runMain <this class>"
+ * 3. generate result: SPARK_GENERATE_BENCHMARK_FILES=1 build/sbt
"sql/test:runMain <this class>"
+ * Results will be written to
"benchmarks/WideTableBenchmark-results.txt".
+ * }}}
+ */
+object WideTableBenchmark extends SqlBasedBenchmark {
+
+ override def runBenchmarkSuite(mainArgs: Array[String]): Unit = {
+ runBenchmark("projection on wide table") {
+ val N = 1 << 20
+ val df = spark.range(N)
+ val columns = (0 until 400).map{ i => s"id as id$i"}
+ val benchmark = new Benchmark("projection on wide table", N, output
= output)
+ Seq("10", "100", "1024", "2048", "4096", "8192", "65536").foreach {
n =>
+ benchmark.addCase(s"split threshold $n", numIters = 5) { iter =>
+ withSQLConf(SQLConf.CODEGEN_METHOD_SPLIT_THRESHOLD.key -> n) {
+ df.selectExpr(columns: _*).foreach(identity(_))
--- End diff --
Hi, All.
It turns out that this breaks Scala-2.12 build. I made a PR to fix that.
https://github.com/apache/spark/pull/22970
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