spark GraphXUtils 源码

2022-10-20
浏览 (255)

spark GraphXUtils 代码

文件路径：/graphx/src/main/scala/org/apache/spark/graphx/GraphXUtils.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.graphx

import scala.reflect.ClassTag

import org.apache.spark.SparkConf
import org.apache.spark.graphx.impl._
import org.apache.spark.graphx.util.collection.GraphXPrimitiveKeyOpenHashMap
import org.apache.spark.util.BoundedPriorityQueue
import org.apache.spark.util.collection.{BitSet, OpenHashSet}

object GraphXUtils {

  /**
   * Registers classes that GraphX uses with Kryo.
   */
  def registerKryoClasses(conf: SparkConf): Unit = {
    conf.registerKryoClasses(Array(
      classOf[Edge[Object]],
      classOf[(VertexId, Object)],
      classOf[EdgePartition[Object, Object]],
      classOf[ShippableVertexPartition[Object]],
      classOf[RoutingTablePartition],
      classOf[BitSet],
      classOf[VertexIdToIndexMap],
      classOf[VertexAttributeBlock[Object]],
      classOf[PartitionStrategy],
      classOf[BoundedPriorityQueue[Object]],
      classOf[EdgeDirection],
      classOf[GraphXPrimitiveKeyOpenHashMap[VertexId, Int]],
      classOf[OpenHashSet[Int]],
      classOf[OpenHashSet[Long]]))
  }

  /**
   * A proxy method to map the obsolete API to the new one.
   */
  private[graphx] def mapReduceTriplets[VD: ClassTag, ED: ClassTag, A: ClassTag](
      g: Graph[VD, ED],
      mapFunc: EdgeTriplet[VD, ED] => Iterator[(VertexId, A)],
      reduceFunc: (A, A) => A,
      activeSetOpt: Option[(VertexRDD[_], EdgeDirection)] = None): VertexRDD[A] = {
    def sendMsg(ctx: EdgeContext[VD, ED, A]): Unit = {
      mapFunc(ctx.toEdgeTriplet).foreach { kv =>
        val id = kv._1
        val msg = kv._2
        if (id == ctx.srcId) {
          ctx.sendToSrc(msg)
        } else {
          assert(id == ctx.dstId)
          ctx.sendToDst(msg)
        }
      }
    }
    g.aggregateMessagesWithActiveSet(
      sendMsg, reduceFunc, TripletFields.All, activeSetOpt)
  }
}

相关信息

spark 源码目录

相关文章

spark Edge 源码

spark EdgeContext 源码

spark EdgeDirection 源码

spark EdgeRDD 源码

spark EdgeTriplet 源码

spark Graph 源码

spark GraphLoader 源码

spark GraphOps 源码

spark PartitionStrategy 源码

spark Pregel 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/7145d606d0664f2fa92092038ce18efe

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ArkUI组件（ArkTS）开发常见问题
6、 harmony 鸿蒙初识ArkTS语言
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...