org.apache.spark.examples.graphx.PageRankExample.scala Maven / Gradle / Ivy
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/*
* 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.
*/
// scalastyle:off println
package org.apache.spark.examples.graphx
// $example on$
import org.apache.spark.graphx.GraphLoader
// $example off$
import org.apache.spark.sql.SparkSession
/**
* A PageRank example on social network dataset
* Run with
* {{{
* bin/run-example graphx.PageRankExample
* }}}
*/
object PageRankExample {
def main(args: Array[String]): Unit = {
// Creates a SparkSession.
val spark = SparkSession
.builder
.appName(s"${this.getClass.getSimpleName}")
.getOrCreate()
val sc = spark.sparkContext
// $example on$
// Load the edges as a graph
val graph = GraphLoader.edgeListFile(sc, "data/graphx/followers.txt")
// Run PageRank
val ranks = graph.pageRank(0.0001).vertices
// Join the ranks with the usernames
val users = sc.textFile("data/graphx/users.txt").map { line =>
val fields = line.split(",")
(fields(0).toLong, fields(1))
}
val ranksByUsername = users.join(ranks).map {
case (id, (username, rank)) => (username, rank)
}
// Print the result
println(ranksByUsername.collect().mkString("\n"))
// $example off$
spark.stop()
}
}
// scalastyle:on println
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