Spark源码分析之ResultTask处理

Spark源码分析之ResultTask处理

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视频

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概述

  • ResultTask 执行当前分区的计算,首先从ShuffleMapTask拿到当前分区的数据,会从所有的ShuffleMapTask都拿一遍当前的分区数据,然后调用reduceByKey自定义的函数进行计算
  • 最后合并所有的ResultTask输出结果,进行输出

图解

在这里插入图片描述

ResultTask.scala 类

/*
 * 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.scheduler

import java.nio.ByteBuffer

import java.io._

import org.apache.spark._
import org.apache.spark.broadcast.Broadcast
import org.apache.spark.rdd.RDD

/**
 * A task that sends back the output to the driver application.
 *
 * See [[Task]] for more information.
 *
 * @param stageId id of the stage this task belongs to
 * @param taskBinary broadcasted version of the serialized
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