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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.
*/
package main.scala
import scala.collection.mutable.{ListBuffer, Queue}
import org.apache.spark.SparkConf
import org.apache.spark.rdd.RDD
import org.apache.spark.streaming.StreamingContext
import org.apache.spark.streaming._
object SparkStreamingExample {
def main(args: Array[String]) {
val conf = sys.env.get("SPARK_AUDIT_MASTER") match {
case Some(master) => new SparkConf().setAppName("Simple Streaming App").setMaster(master)
case None => new SparkConf().setAppName("Simple Streaming App")
}
val ssc = new StreamingContext(conf, Seconds(1))
val seen = ListBuffer[RDD[Int]]()
val rdd1 = ssc.sparkContext.makeRDD(1 to 100, 10)
val rdd2 = ssc.sparkContext.makeRDD(1 to 1000, 10)
val rdd3 = ssc.sparkContext.makeRDD(1 to 10000, 10)
val queue = Queue(rdd1, rdd2, rdd3)
val stream = ssc.queueStream(queue)
stream.foreachRDD(rdd => seen += rdd)
ssc.start()
Thread.sleep(5000)
def test(f: => Boolean, failureMsg: String) = {
if (!f) {
println(failureMsg)
System.exit(-1)
}
}
val rddCounts = seen.map(rdd => rdd.count()).filter(_ > 0)
test(rddCounts.length == 3, "Did not collect three RDD's from stream")
test(rddCounts.toSet == Set(100, 1000, 10000), "Did not find expected streams")
println("Test succeeded")
ssc.stop()
}
}
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