Github user cloud-fan commented on a diff in the pull request:

    https://github.com/apache/spark/pull/13680#discussion_r69850526
  
    --- Diff: 
sql/core/src/test/scala/org/apache/spark/sql/execution/benchmark/UnsafeArrayDataBenchmark.scala
 ---
    @@ -0,0 +1,251 @@
    +/*
    + * 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 scala.util.Random
    +
    +import org.apache.spark.sql.catalyst.encoders.ExpressionEncoder
    +import org.apache.spark.sql.catalyst.expressions.{UnsafeArrayData, 
UnsafeRow}
    +import org.apache.spark.sql.catalyst.expressions.codegen.{BufferHolder, 
UnsafeArrayWriter}
    +import org.apache.spark.util.Benchmark
    +
    +/**
    + * Benchmark [[UnsafeArrayDataBenchmark]] for UnsafeArrayData
    + * To run this:
    + *  1. replace ignore(...) with test(...)
    + *  2. build/sbt "sql/test-only *benchmark.UnsafeArrayDataBenchmark"
    + *
    + * Benchmarks in this file are skipped in normal builds.
    + */
    +class UnsafeArrayDataBenchmark extends BenchmarkBase {
    +
    +  def calculateHeaderPortionInBytes(count: Int) : Int = {
    +    // Use this assignment for SPARK-15962
    +    // val size = 4 + 4 * count
    +    val size = UnsafeArrayData.calculateHeaderPortionInBytes(count)
    +    size
    +  }
    +
    +  def readUnsafeArray(iters: Int): Unit = {
    +    val count = 1024 * 1024 * 16
    +    val rand = new Random(42)
    +
    +    var intResult: Int = 0
    +    val intBuffer = Array.fill[Int](count) { rand.nextInt }
    +    val intEncoder = ExpressionEncoder[Array[Int]].resolveAndBind()
    +    val intInternalRow = intEncoder.toRow(intBuffer)
    +    val intUnsafeArray = intInternalRow.getArray(0)
    +    val readIntArray = { i: Int =>
    +      var n = 0
    +      while (n < iters) {
    +        val len = intUnsafeArray.numElements
    +        var sum = 0.toInt
    +        var i = 0
    +        while (i < len) {
    +          sum += intUnsafeArray.getInt(i)
    +          i += 1
    +        }
    +        intResult = sum
    +        n += 1
    +      }
    +    }
    +
    +    var doubleResult: Double = 0
    +    val doubleBuffer = Array.fill[Double](count) { rand.nextDouble }
    +    val doubleEncoder = ExpressionEncoder[Array[Double]].resolveAndBind()
    +    val doubleInternalRow = doubleEncoder.toRow(doubleBuffer)
    +    val doubleUnsafeArray = doubleInternalRow.getArray(0)
    +    val readDoubleArray = { i: Int =>
    +      var n = 0
    +      while (n < iters) {
    +        val len = doubleUnsafeArray.numElements
    +        var sum = 0.toDouble
    +        var i = 0
    +        while (i < len) {
    +          sum += doubleUnsafeArray.getDouble(i)
    +          i += 1
    +        }
    +        doubleResult = sum
    +        n += 1
    +      }
    +    }
    +
    +    val benchmark = new Benchmark("Read UnsafeArrayData", count * iters)
    +    benchmark.addCase("Int")(readIntArray)
    +    benchmark.addCase("Double")(readDoubleArray)
    +    benchmark.run
    +    /*
    +    Java HotSpot(TM) 64-Bit Server VM 1.8.0_92-b14 on Mac OS X 10.10.4
    +    Intel(R) Core(TM) i5-5257U CPU @ 2.70GHz
    +
    +    Read UnsafeArrayData:                    Best/Avg Time(ms)    
Rate(M/s)   Per Row(ns)   Relative
    +    
------------------------------------------------------------------------------------------------
    +    Int                                            279 /  294        600.4 
          1.7       1.0X
    +    Double                                         296 /  303        567.0 
          1.8       0.9X
    +    */
    +  }
    +
    +  def writeUnsafeArray(iters: Int): Unit = {
    +    val count = 1024 * 1024 * 16
    +
    +    val intUnsafeRow = new UnsafeRow(1)
    +    val intUnsafeArrayWriter = new UnsafeArrayWriter
    --- End diff --
    
    have you seen my comment here? 
https://github.com/apache/spark/pull/13680/files#r69392823
    
    testing the array writer is so low level and peoples are more interested in 
writing the whole array. If you take a look at what `encoder.toRow` does, it 
generates a project to write the given array into an unsafe row. Although it 
has some overhead for the row stuff, it's still a good example of writing array.


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