spark QueueStream 源码
spark QueueStream 代码
文件路径：/examples/src/main/scala/org/apache/spark/examples/streaming/QueueStream.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,
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* See the License for the specific language governing permissions and
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package org.apache.spark.examples.streaming
import scala.collection.mutable.Queue
import org.apache.spark.SparkConf
import org.apache.spark.rdd.RDD
import org.apache.spark.streaming.{Seconds, StreamingContext}
object QueueStream {
def main(args: Array[String]): Unit = {
StreamingExamples.setStreamingLogLevels()
val sparkConf = new SparkConf().setAppName("QueueStream")
// Create the context
val ssc = new StreamingContext(sparkConf, Seconds(1))
// Create the queue through which RDDs can be pushed to
// a QueueInputDStream
val rddQueue = new Queue[RDD[Int]]()
// Create the QueueInputDStream and use it do some processing
val inputStream = ssc.queueStream(rddQueue)
val mappedStream = inputStream.map(x => (x % 10, 1))
val reducedStream = mappedStream.reduceByKey(_ + _)
reducedStream.print()
ssc.start()
// Create and push some RDDs into rddQueue
for (i <- 1 to 30) {
rddQueue.synchronized {
rddQueue += ssc.sparkContext.makeRDD(1 to 1000, 10)
}
Thread.sleep(1000)
}
ssc.stop()
}
}
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