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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 org.apache.spark.network
import org.apache.spark._
import org.apache.spark.SparkContext._
import scala.io.Source
import java.nio.ByteBuffer
import java.net.InetAddress
import akka.dispatch.Await
import akka.util.duration._
private[spark] object ConnectionManagerTest extends Logging{
def main(args: Array[String]) {
//<mesos cluster> - the master URL
//<slaves file> - a list slaves to run connectionTest on
//[num of tasks] - the number of parallel tasks to be initiated default is number of slave hosts
//[size of msg in MB (integer)] - the size of messages to be sent in each task, default is 10
//[count] - how many times to run, default is 3
//[await time in seconds] : await time (in seconds), default is 600
if (args.length < 2) {
println("Usage: ConnectionManagerTest <mesos cluster> <slaves file> [num of tasks] [size of msg in MB (integer)] [count] [await time in seconds)] ")
System.exit(1)
}
if (args(0).startsWith("local")) {
println("This runs only on a mesos cluster")
}
val sc = new SparkContext(args(0), "ConnectionManagerTest")
val slavesFile = Source.fromFile(args(1))
val slaves = slavesFile.mkString.split("\n")
slavesFile.close()
/*println("Slaves")*/
/*slaves.foreach(println)*/
val tasknum = if (args.length > 2) args(2).toInt else slaves.length
val size = ( if (args.length > 3) (args(3).toInt) else 10 ) * 1024 * 1024
val count = if (args.length > 4) args(4).toInt else 3
val awaitTime = (if (args.length > 5) args(5).toInt else 600 ).second
println("Running "+count+" rounds of test: " + "parallel tasks = " + tasknum + ", msg size = " + size/1024/1024 + " MB, awaitTime = " + awaitTime)
val slaveConnManagerIds = sc.parallelize(0 until tasknum, tasknum).map(
i => SparkEnv.get.connectionManager.id).collect()
println("\nSlave ConnectionManagerIds")
slaveConnManagerIds.foreach(println)
println
(0 until count).foreach(i => {
val resultStrs = sc.parallelize(0 until tasknum, tasknum).map(i => {
val connManager = SparkEnv.get.connectionManager
val thisConnManagerId = connManager.id
connManager.onReceiveMessage((msg: Message, id: ConnectionManagerId) => {
logInfo("Received [" + msg + "] from [" + id + "]")
None
})
val buffer = ByteBuffer.allocate(size).put(Array.tabulate[Byte](size)(x => x.toByte))
buffer.flip
val startTime = System.currentTimeMillis
val futures = slaveConnManagerIds.filter(_ != thisConnManagerId).map(slaveConnManagerId => {
val bufferMessage = Message.createBufferMessage(buffer.duplicate)
logInfo("Sending [" + bufferMessage + "] to [" + slaveConnManagerId + "]")
connManager.sendMessageReliably(slaveConnManagerId, bufferMessage)
})
val results = futures.map(f => Await.result(f, awaitTime))
val finishTime = System.currentTimeMillis
Thread.sleep(5000)
val mb = size * results.size / 1024.0 / 1024.0
val ms = finishTime - startTime
val resultStr = thisConnManagerId + " Sent " + mb + " MB in " + ms + " ms at " + (mb / ms * 1000.0) + " MB/s"
logInfo(resultStr)
resultStr
}).collect()
println("---------------------")
println("Run " + i)
resultStrs.foreach(println)
println("---------------------")
})
}
}
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