spark BoundedPriorityQueue 源码

2022-10-20
浏览 (374)

spark BoundedPriorityQueue 代码

文件路径：/core/src/main/scala-2.13/org/apache/spark/util/BoundedPriorityQueue.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

import java.io.Serializable
import java.util.{PriorityQueue => JPriorityQueue}

import scala.collection.JavaConverters._
import scala.collection.mutable.Growable

/**
 * Bounded priority queue. This class wraps the original PriorityQueue
 * class and modifies it such that only the top K elements are retained.
 * The top K elements are defined by an implicit Ordering[A].
 */
private[spark] class BoundedPriorityQueue[A](maxSize: Int)(implicit ord: Ordering[A])
  extends Iterable[A] with Growable[A] with Serializable {

  //  Note: this class supports Scala 2.13. A parallel source tree has a 2.12 implementation.

  private val underlying = new JPriorityQueue[A](maxSize, ord)

  override def iterator: Iterator[A] = underlying.iterator.asScala

  override def size: Int = underlying.size

  override def knownSize: Int = size

  override def addAll(xs: IterableOnce[A]): this.type = {
    xs.foreach { this += _ }
    this
  }

  override def addOne(elem: A): this.type = {
    if (size < maxSize) {
      underlying.offer(elem)
    } else {
      maybeReplaceLowest(elem)
    }
    this
  }

  def poll(): A = {
    underlying.poll()
  }

  override def clear(): Unit = { underlying.clear() }

  private def maybeReplaceLowest(a: A): Boolean = {
    val head = underlying.peek()
    if (head != null && ord.gt(a, head)) {
      underlying.poll()
      underlying.offer(a)
    } else {
      false
    }
  }
}

相关信息

spark 源码目录

相关文章

spark Iterators 源码

spark TimeStampedHashMap 源码

0 赞

所属分类： 前端技术
本文标签：
版权声明： 原创文章如转载，请注明本文链接: https://www.seaxiang.com/blog/8d9e5dfc22eb4dddb3cc1a4b90bead2b

热门推荐

1、直接访问google.com
2、 - 优质文章
3、 gate.io
4、 harmony 鸿蒙hdc使用指导
5、 harmony 鸿蒙初识ArkTS语言
6、 harmony 鸿蒙ArkUI组件（ArkTS）开发常见问题
7、 flink kafka connector scan.startup.mode 的几个选项
8、 golang
9、 openharmony
10、 Vue中input框自动聚焦

Loading...