Github user cloud-fan commented on a diff in the pull request:
https://github.com/apache/spark/pull/22823#discussion_r228409979
--- Diff:
sql/core/src/test/scala/org/apache/spark/sql/execution/benchmark/BenchmarkWideTable.scala
---
@@ -1,52 +0,0 @@
-/*
- * 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
-
-/**
- * Benchmark to measure performance for wide table.
- * To run this:
- * build/sbt "sql/test-only *benchmark.BenchmarkWideTable"
- *
- * Benchmarks in this file are skipped in normal builds.
- */
-class BenchmarkWideTable extends BenchmarkWithCodegen {
-
- ignore("project on wide table") {
- val N = 1 << 20
- val df = sparkSession.range(N)
- val columns = (0 until 400).map{ i => s"id as id$i"}
- val benchmark = new Benchmark("projection on wide table", N)
- benchmark.addCase("wide table", numIters = 5) { iter =>
- df.selectExpr(columns : _*).queryExecution.toRdd.count()
- }
- benchmark.run()
-
- /**
- * Here are some numbers with different split threshold:
- *
- * Split threshold methods Rate(M/s) Per Row(ns)
- * 10 400 0.4 2279
- * 100 200 0.6 1554
- * 1k 37 0.9 1116
--- End diff --
I think we should have a PR to add this config officially. It should be
useful for performance tunning.
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