Github user ericl commented on a diff in the pull request:

    https://github.com/apache/spark/pull/13456#discussion_r65602557
  
    --- Diff: 
sql/core/src/test/scala/org/apache/spark/sql/execution/benchmark/WideSchemaBenchmark.scala
 ---
    @@ -0,0 +1,285 @@
    +/*
    + * 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
    +
    +import org.apache.spark.SparkFunSuite
    +import org.apache.spark.sql.functions._
    +import org.apache.spark.util.Benchmark
    +
    +/**
    + * Benchmark for performance with very wide and nested DataFrames.
    + * To run this:
    + *  build/sbt "sql/test-only *WideSchemaBenchmark"
    + */
    +class WideSchemaBenchmark extends SparkFunSuite {
    +  private val scaleFactor = 100000
    +  private val widthsToTest = Seq(1, 10, 100, 1000, 2500)
    +  private val depthsToTest = Seq(1, 10, 100, 250)
    +  assert(scaleFactor > widthsToTest.max)
    +
    +  private lazy val sparkSession = SparkSession.builder
    +    .master("local[1]")
    +    .appName("microbenchmark")
    +    .getOrCreate()
    +
    +  import sparkSession.implicits._
    +
    +  ignore("parsing large select expressions") {
    +    val benchmark = new Benchmark("parsing large select", 1)
    +    for (width <- widthsToTest) {
    +      val selectExpr = (1 to width).map(i => s"id as a_$i")
    +      benchmark.addCase(s"$width select expressions") { iter =>
    +        sparkSession.range(1).toDF.selectExpr(selectExpr: _*)
    +      }
    +    }
    +    benchmark.run()
    +
    +    /*
    +    OpenJDK 64-Bit Server VM 1.8.0_66-internal-b17 on Linux 
4.2.0-36-generic
    --- End diff --
    
    I addressed this in https://github.com/apache/spark/pull/13472: in practice 
the times didn't seem to change by that much (maybe 1.5x faster for the smaller 
cases).


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