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

    https://github.com/apache/spark/pull/13680#discussion_r70010656
  
    --- Diff: 
sql/core/src/test/scala/org/apache/spark/sql/execution/benchmark/UnsafeArrayDataBenchmark.scala
 ---
    @@ -0,0 +1,215 @@
    +/*
    + * 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 = {
    +    /* 4 + 4 * count // Use this expression for SPARK-15962 */
    +    UnsafeArrayData.calculateHeaderPortionInBytes(count)
    +  }
    +
    +  def readUnsafeArray(iters: Int): Unit = {
    +    val count = 1024 * 1024 * 16
    +    val rand = new Random(42)
    +
    +    val intPrimitiveArray = Array.fill[Int](count) { rand.nextInt }
    +    val intEncoder = ExpressionEncoder[Array[Int]].resolveAndBind()
    +    val intUnsafeArray = intEncoder.toRow(intPrimitiveArray).getArray(0)
    +    val readIntArray = { i: Int =>
    +      var n = 0
    +      while (n < iters) {
    +        val len = intUnsafeArray.numElements
    +        var sum = 0
    +        var i = 0
    +        while (i < len) {
    +          sum += intUnsafeArray.getInt(i)
    +          i += 1
    +        }
    +        n += 1
    +      }
    +    }
    +
    +    val doublePrimitiveArray = Array.fill[Double](count) { rand.nextDouble 
}
    +    val doubleEncoder = ExpressionEncoder[Array[Double]].resolveAndBind()
    +    val doubleUnsafeArray = 
doubleEncoder.toRow(doublePrimitiveArray).getArray(0)
    +    val readDoubleArray = { i: Int =>
    +      var n = 0
    +      while (n < iters) {
    +        val len = doubleUnsafeArray.numElements
    +        var sum = 0.0
    +        var i = 0
    +        while (i < len) {
    +          sum += doubleUnsafeArray.getDouble(i)
    +          i += 1
    +        }
    +        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 rand = new Random(42)
    +
    +    var intTotalLength: Int = 0
    +    val intPrimitiveArray = Array.fill[Int](count) { rand.nextInt }
    +    val intEncoder = ExpressionEncoder[Array[Int]].resolveAndBind()
    +    val writeIntArray = { i: Int =>
    +      var n = 0
    +      while (n < iters) {
    +        intTotalLength += 
intEncoder.toRow(intPrimitiveArray).getArray(0).numElements()
    +        n += 1
    +      }
    +    }
    +
    +    var doubleTotalLength: Int = 0
    +    val doublePrimitiveArray = Array.fill[Double](count) { rand.nextDouble 
}
    +    val doubleEncoder = ExpressionEncoder[Array[Double]].resolveAndBind()
    +    val writeDoubleArray = { i: Int =>
    +      var n = 0
    +      while (n < iters) {
    +        doubleTotalLength += 
doubleEncoder.toRow(doublePrimitiveArray).getArray(0).numElements()
    +        n += 1
    +      }
    +    }
    +
    +    val benchmark = new Benchmark("Write UnsafeArrayData", count * iters)
    +    benchmark.addCase("Int")(writeIntArray)
    +    benchmark.addCase("Double")(writeDoubleArray)
    +    benchmark.run
    --- End diff --
    
    put the benchmark result here?


---
If your project is set up for it, you can reply to this email and have your
reply appear on GitHub as well. If your project does not have this feature
enabled and wishes so, or if the feature is enabled but not working, please
contact infrastructure at infrastruct...@apache.org or file a JIRA ticket
with INFRA.
---

---------------------------------------------------------------------
To unsubscribe, e-mail: reviews-unsubscr...@spark.apache.org
For additional commands, e-mail: reviews-h...@spark.apache.org

Reply via email to