spark XORShiftRandom 源码
spark XORShiftRandom 代码
文件路径：/core/src/main/scala/org/apache/spark/util/random/XORShiftRandom.scala
/*
* 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.util.random
import java.nio.ByteBuffer
import java.util.{Random => JavaRandom}
import scala.util.hashing.MurmurHash3
/**
* This class implements a XORShift random number generator algorithm
* Source:
* Marsaglia, G. (2003). Xorshift RNGs. Journal of Statistical Software, Vol. 8, Issue 14.
* @see <a href="http://www.jstatsoft.org/v08/i14/paper">Paper</a>
* This implementation is approximately 3.5 times faster than
* {@link java.util.Random java.util.Random}, partly because of the algorithm, but also due
* to renouncing thread safety. JDK's implementation uses an AtomicLong seed, this class
* uses a regular Long. We can forgo thread safety since we use a new instance of the RNG
* for each thread.
*/
private[spark] class XORShiftRandom(init: Long) extends JavaRandom(init) {
def this() = this(System.nanoTime)
private var seed = XORShiftRandom.hashSeed(init)
// we need to just override next - this will be called by nextInt, nextDouble,
// nextGaussian, nextLong, etc.
override protected def next(bits: Int): Int = {
var nextSeed = seed ^ (seed << 21)
nextSeed ^= (nextSeed >>> 35)
nextSeed ^= (nextSeed << 4)
seed = nextSeed
(nextSeed & ((1L << bits) -1)).asInstanceOf[Int]
}
override def setSeed(s: Long): Unit = {
seed = XORShiftRandom.hashSeed(s)
}
}
/** Contains benchmark method and main method to run benchmark of the RNG */
private[spark] object XORShiftRandom {
/** Hash seeds to have 0/1 bits throughout. */
private[random] def hashSeed(seed: Long): Long = {
val bytes = ByteBuffer.allocate(java.lang.Long.BYTES).putLong(seed).array()
val lowBits = MurmurHash3.bytesHash(bytes, MurmurHash3.arraySeed)
val highBits = MurmurHash3.bytesHash(bytes, lowBits)
(highBits.toLong << 32) | (lowBits.toLong & 0xFFFFFFFFL)
}
}
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