From 90e467206dfa45e4f3a1f475352d16b7d254b2a8 Mon Sep 17 00:00:00 2001
From: Mosharaf Chowdhury <mosharaf@mosharaf-ubuntu.(none)>
Date: Sat, 25 Dec 2010 22:45:50 -0800
Subject: [PATCH] Tracker framework is in place that supports pluggable tracker
strategy. There are several bugs along with performance problems.
- For larger data shuffle ShuffleServerThread gets "Broken Pipe" and ShuffleClient gets "Connection Reset"
- There is a bug in the accounting counters of BalanceConnectionsShuffleTrackerStrategy. Some of them go below zero while decrementing which is not supposed to happen.
---
conf/java-opts | 2 +-
...rackedCustomParallelLocalFileShuffle.scala | 877 ++++++++++++++++++
2 files changed, 878 insertions(+), 1 deletion(-)
create mode 100644 src/scala/spark/TrackedCustomParallelLocalFileShuffle.scala
diff --git a/conf/java-opts b/conf/java-opts
index d2fb332b92..a106f5e4a6 100644
--- a/conf/java-opts
+++ b/conf/java-opts
@@ -1 +1 @@
--Dspark.shuffle.class=spark.CustomBlockedInMemoryShuffle -Dspark.blockedLocalFileShuffle.maxRxConnections=2 -Dspark.blockedLocalFileShuffle.maxTxConnections=2 -Dspark.blockedLocalFileShuffle.blockSize=256 -Dspark.blockedLocalFileShuffle.minKnockInterval=50 -Dspark.blockedInMemoryShuffle.maxRxConnections=2 -Dspark.blockedInMemoryShuffle.maxTxConnections=2 -Dspark.blockedInMemoryShuffle.minKnockInterval=50 -Dspark.blockedInMemoryShuffle.maxKnockInterval=2000 -Dspark.blockedInMemoryShuffle.blockSize=256 -Dspark.parallelLocalFileShuffle.maxRxConnections=2 -Dspark.parallelLocalFileShuffle.maxTxConnections=2 -Dspark.parallelLocalFileShuffle.minKnockInterval=50 -Dspark.parallelLocalFileShuffle.maxKnockInterval=2000 -Dspark.parallelInMemoryShuffle.maxRxConnections=2 -Dspark.parallelInMemoryShuffle.maxTxConnections=2 -Dspark.parallelInMemoryShuffle.minKnockInterval=50 -Dspark.parallelInMemoryShuffle.maxKnockInterval=2000
+-Dspark.shuffle.class=spark.TrackedCustomParallelLocalFileShuffle -Dspark.shuffle.masterHostAddress=127.0.0.1 -Dspark.shuffle.masterTrackerPort=22222 -Dspark.shuffle.trackerStrategy=spark.BalanceConnectionsShuffleTrackerStrategy -Dspark.blockedLocalFileShuffle.maxRxConnections=2 -Dspark.blockedLocalFileShuffle.maxTxConnections=2 -Dspark.blockedLocalFileShuffle.blockSize=256 -Dspark.blockedLocalFileShuffle.minKnockInterval=50 -Dspark.blockedInMemoryShuffle.maxRxConnections=2 -Dspark.blockedInMemoryShuffle.maxTxConnections=2 -Dspark.blockedInMemoryShuffle.minKnockInterval=50 -Dspark.blockedInMemoryShuffle.maxKnockInterval=2000 -Dspark.blockedInMemoryShuffle.blockSize=256 -Dspark.parallelLocalFileShuffle.maxRxConnections=2 -Dspark.parallelLocalFileShuffle.maxTxConnections=2 -Dspark.parallelLocalFileShuffle.minKnockInterval=50 -Dspark.parallelLocalFileShuffle.maxKnockInterval=2000 -Dspark.parallelInMemoryShuffle.maxRxConnections=2 -Dspark.parallelInMemoryShuffle.maxTxConnections=2 -Dspark.parallelInMemoryShuffle.minKnockInterval=50 -Dspark.parallelInMemoryShuffle.maxKnockInterval=2000
diff --git a/src/scala/spark/TrackedCustomParallelLocalFileShuffle.scala b/src/scala/spark/TrackedCustomParallelLocalFileShuffle.scala
new file mode 100644
index 0000000000..72ddf99ed5
--- /dev/null
+++ b/src/scala/spark/TrackedCustomParallelLocalFileShuffle.scala
@@ -0,0 +1,877 @@
+package spark
+
+import java.io._
+import java.net._
+import java.util.{BitSet, Random, Timer, TimerTask, UUID}
+import java.util.concurrent.atomic.AtomicLong
+import java.util.concurrent.{LinkedBlockingQueue, Executors, ThreadPoolExecutor, ThreadFactory}
+
+import scala.collection.mutable.{ArrayBuffer, HashMap}
+
+/**
+ * An implementation of shuffle using local files served through custom server
+ * where receivers create simultaneous connections to multiple servers by
+ * setting the 'spark.parallelLocalFileShuffle.maxRxConnections' config option.
+ *
+ * 'spark.parallelLocalFileShuffle.maxTxConnections' enforces server-side cap.
+ * Ideally maxTxConnections >= maxRxConnections * numReducersPerMachine
+ *
+ * 'spark.shuffle.TrackerStrategy' decides which strategy to use
+ *
+ * TODO: Add support for compression when spark.compress is set to true.
+ */
+@serializable
+class TrackedCustomParallelLocalFileShuffle[K, V, C]
+extends Shuffle[K, V, C] with Logging {
+ @transient var totalSplits = 0
+ @transient var hasSplits = 0
+ @transient var hasSplitsBitVector: BitSet = null
+ @transient var splitsInRequestBitVector: BitSet = null
+
+ @transient var receivedData: LinkedBlockingQueue[(Int, Array[Byte])] = null
+ @transient var combiners: HashMap[K,C] = null
+
+ override def compute(input: RDD[(K, V)],
+ numOutputSplits: Int,
+ createCombiner: V => C,
+ mergeValue: (C, V) => C,
+ mergeCombiners: (C, C) => C)
+ : RDD[(K, C)] =
+ {
+ val sc = input.sparkContext
+ val shuffleId = TrackedCustomParallelLocalFileShuffle.newShuffleId()
+ logInfo("Shuffle ID: " + shuffleId)
+
+ val splitRdd = new NumberedSplitRDD(input)
+ val numInputSplits = splitRdd.splits.size
+
+ // Run a parallel map and collect to write the intermediate data files
+ val outputLocs = splitRdd.map((pair: (Int, Iterator[(K, V)])) => {
+ val myIndex = pair._1
+ val myIterator = pair._2
+ val buckets = Array.tabulate(numOutputSplits)(_ => new HashMap[K, C])
+ for ((k, v) <- myIterator) {
+ var bucketId = k.hashCode % numOutputSplits
+ if (bucketId < 0) { // Fix bucket ID if hash code was negative
+ bucketId += numOutputSplits
+ }
+ val bucket = buckets(bucketId)
+ bucket(k) = bucket.get(k) match {
+ case Some(c) => mergeValue(c, v)
+ case None => createCombiner(v)
+ }
+ }
+
+ for (i <- 0 until numOutputSplits) {
+ val file = TrackedCustomParallelLocalFileShuffle.getOutputFile(shuffleId,
+ myIndex, i)
+ val writeStartTime = System.currentTimeMillis
+ logInfo("BEGIN WRITE: " + file)
+ val out = new ObjectOutputStream(new FileOutputStream(file))
+ buckets(i).foreach(pair => out.writeObject(pair))
+ out.close()
+ logInfo("END WRITE: " + file)
+ val writeTime = System.currentTimeMillis - writeStartTime
+ logInfo("Writing " + file + " of size " + file.length + " bytes took " + writeTime + " millis.")
+ }
+
+ (SplitInfo (TrackedCustomParallelLocalFileShuffle.serverAddress,
+ TrackedCustomParallelLocalFileShuffle.serverPort, myIndex))
+ }).collect()
+
+ // Start tracker
+ var shuffleTracker = new ShuffleTracker(outputLocs)
+ shuffleTracker.setDaemon(true)
+ shuffleTracker.start()
+ logInfo("ShuffleTracker started...")
+
+ // Return an RDD that does each of the merges for a given partition
+ val indexes = sc.parallelize(0 until numOutputSplits, numOutputSplits)
+ return indexes.flatMap((myId: Int) => {
+ totalSplits = outputLocs.size
+ hasSplits = 0
+ hasSplitsBitVector = new BitSet(totalSplits)
+ splitsInRequestBitVector = new BitSet(totalSplits)
+
+ receivedData = new LinkedBlockingQueue[(Int, Array[Byte])]
+ combiners = new HashMap[K, C]
+
+ var threadPool =
+ TrackedCustomParallelLocalFileShuffle.newDaemonFixedThreadPool(
+ TrackedCustomParallelLocalFileShuffle.MaxRxConnections)
+
+ // Start consumer
+ var shuffleConsumer = new ShuffleConsumer(mergeCombiners)
+ shuffleConsumer.setDaemon(true)
+ shuffleConsumer.start()
+ logInfo("ShuffleConsumer started...")
+
+ while (hasSplits < totalSplits) {
+ var numThreadsToCreate = Math.min(totalSplits,
+ TrackedCustomParallelLocalFileShuffle.MaxRxConnections) -
+ threadPool.getActiveCount
+
+ while (hasSplits < totalSplits && numThreadsToCreate > 0) {
+ // Receive which split to pull from the tracker
+ val splitIndex = getTrackerSelectedSplit(outputLocs)
+
+ if (splitIndex != -1) {
+ val selectedSplitInfo = outputLocs(splitIndex)
+ val requestSplit =
+ "%d/%d/%d".format(shuffleId, selectedSplitInfo.inputId, myId)
+
+ threadPool.execute(new ShuffleClient(splitIndex, selectedSplitInfo,
+ requestSplit))
+
+ // splitIndex is in transit. Will be unset in the ShuffleClient
+ splitsInRequestBitVector.synchronized {
+ splitsInRequestBitVector.set(splitIndex)
+ }
+ }
+
+ numThreadsToCreate = numThreadsToCreate - 1
+ }
+
+ // Sleep for a while before creating new threads
+ Thread.sleep(TrackedCustomParallelLocalFileShuffle.MinKnockInterval)
+ }
+
+ threadPool.shutdown()
+ combiners
+ })
+ }
+
+ private def getLocalSplitInfo: SplitInfo = {
+ var localSplitInfo = SplitInfo(InetAddress.getLocalHost.getHostAddress,
+ SplitInfo.UnusedParam, SplitInfo.UnusedParam)
+
+ localSplitInfo.hasSplits = hasSplits
+
+ hasSplitsBitVector.synchronized {
+ localSplitInfo.hasSplitsBitVector = hasSplitsBitVector
+ }
+
+ // Include the splitsInRequest as well
+ splitsInRequestBitVector.synchronized {
+ localSplitInfo.hasSplitsBitVector.or(splitsInRequestBitVector)
+ }
+
+ return localSplitInfo
+ }
+
+ // Selects a random split using local information
+ private def selectRandomSplit: Int = {
+ var requiredSplits = new ArrayBuffer[Int]
+
+ synchronized {
+ for (i <- 0 until totalSplits) {
+ if (!hasSplitsBitVector.get(i) && !splitsInRequestBitVector.get(i)) {
+ requiredSplits += i
+ }
+ }
+ }
+
+ if (requiredSplits.size > 0) {
+ requiredSplits(TrackedCustomParallelLocalFileShuffle.ranGen.nextInt(
+ requiredSplits.size))
+ } else {
+ -1
+ }
+ }
+
+ // Talks to the tracker and receives instruction
+ private def getTrackerSelectedSplit(outputLocs: Array[SplitInfo]): Int = {
+ val clientSocketToTracker =
+ new Socket(TrackedCustomParallelLocalFileShuffle.MasterHostAddress,
+ TrackedCustomParallelLocalFileShuffle.MasterTrackerPort)
+ val oosTracker =
+ new ObjectOutputStream(clientSocketToTracker.getOutputStream)
+ oosTracker.flush()
+ val oisTracker =
+ new ObjectInputStream(clientSocketToTracker.getInputStream)
+
+ var selectedSplitIndex = -1
+
+ try {
+ // Send intention
+ oosTracker.writeObject(
+ TrackedCustomParallelLocalFileShuffle.ReducerEntering)
+ oosTracker.flush()
+
+ // Send what this reducer has
+ oosTracker.writeObject(getLocalSplitInfo)
+ oosTracker.flush()
+
+ // Receive reply from the tracker
+ selectedSplitIndex = oisTracker.readObject.asInstanceOf[Int]
+ } catch {
+ case e: Exception => {
+ logInfo("getTrackerSelectedSplit had a " + e)
+ }
+ } finally {
+ oisTracker.close()
+ oosTracker.close()
+ clientSocketToTracker.close()
+ }
+
+ return selectedSplitIndex
+ }
+
+ class ShuffleTracker(outputLocs: Array[SplitInfo])
+ extends Thread with Logging {
+ var threadPool =
+ TrackedCustomParallelLocalFileShuffle.newDaemonCachedThreadPool
+ var serverSocket: ServerSocket = null
+
+ // Create trackerStrategy object
+ val trackerStrategyClass = System.getProperty(
+ "spark.shuffle.trackerStrategy",
+ "spark.BalanceConnectionsShuffleTrackerStrategy")
+
+ val trackerStrategy =
+ Class.forName(trackerStrategyClass).newInstance().asInstanceOf[ShuffleTrackerStrategy]
+
+ // Must initialize here by supplying the outputLocs param
+ // TODO: This could be avoided by directly passing it to the constructor
+ trackerStrategy.initialize(outputLocs)
+
+ override def run: Unit = {
+ serverSocket = new ServerSocket(
+ TrackedCustomParallelLocalFileShuffle.MasterTrackerPort)
+ logInfo("ShuffleTracker" + serverSocket)
+
+ try {
+ while (true) {
+ var clientSocket: Socket = null
+ try {
+ clientSocket = serverSocket.accept()
+ } catch {
+ case e: Exception => {
+ logInfo("ShuffleTracker had a " + e)
+ }
+ }
+
+ if (clientSocket != null) {
+ try {
+ threadPool.execute(new Thread {
+ override def run: Unit = {
+ val oos = new ObjectOutputStream(clientSocket.getOutputStream)
+ oos.flush()
+ val ois = new ObjectInputStream(clientSocket.getInputStream)
+
+ try {
+ // Receive intention
+ val reducerIntention = ois.readObject.asInstanceOf[Int]
+
+ if (reducerIntention ==
+ TrackedCustomParallelLocalFileShuffle.ReducerEntering) {
+ // Receive what the reducer has
+ val reducerSplitInfo =
+ ois.readObject.asInstanceOf[SplitInfo]
+
+ // Select split and update stats if necessary
+ val selectedSplitIndex =
+ trackerStrategy.selectSplitAndAddReducer(
+ reducerSplitInfo)
+
+ // Send reply back
+ oos.writeObject(selectedSplitIndex)
+ oos.flush()
+ }
+ else if (reducerIntention ==
+ TrackedCustomParallelLocalFileShuffle.ReducerLeaving) {
+ // Receive reducerSplitInfo and serverSplitIndex
+ val reducerSplitInfo =
+ ois.readObject.asInstanceOf[SplitInfo]
+
+ val serverSplitIndex = ois.readObject.asInstanceOf[Int]
+
+ // Update stats
+ trackerStrategy.deleteReducerFrom(reducerSplitInfo,
+ serverSplitIndex)
+
+ // Send ACK
+ oos.writeObject(serverSplitIndex)
+ oos.flush()
+ }
+ else {
+ throw new SparkException("Undefined reducerIntention")
+ }
+ } catch {
+ case e: Exception => {
+ logInfo("ShuffleTracker had a " + e)
+ }
+ } finally {
+ ois.close()
+ oos.close()
+ clientSocket.close()
+ }
+ }
+ })
+ } catch {
+ // In failure, close socket here; else, client thread will close
+ case ioe: IOException => {
+ clientSocket.close()
+ }
+ }
+ }
+ }
+ } finally {
+ serverSocket.close()
+ }
+ // Shutdown the thread pool
+ threadPool.shutdown()
+ }
+ }
+
+ class ShuffleConsumer(mergeCombiners: (C, C) => C)
+ extends Thread with Logging {
+ override def run: Unit = {
+ // Run until all splits are here
+ while (hasSplits < totalSplits) {
+ var splitIndex = -1
+ var recvByteArray: Array[Byte] = null
+
+ try {
+ var tempPair = receivedData.take().asInstanceOf[(Int, Array[Byte])]
+ splitIndex = tempPair._1
+ recvByteArray = tempPair._2
+ } catch {
+ case e: Exception => {
+ logInfo("Exception during taking data from receivedData")
+ }
+ }
+
+ val inputStream =
+ new ObjectInputStream(new ByteArrayInputStream(recvByteArray))
+
+ try{
+ while (true) {
+ val (k, c) = inputStream.readObject.asInstanceOf[(K, C)]
+ combiners(k) = combiners.get(k) match {
+ case Some(oldC) => mergeCombiners(oldC, c)
+ case None => c
+ }
+ }
+ } catch {
+ case e: EOFException => { }
+ }
+ inputStream.close()
+
+ // Consumption completed. Update stats.
+ hasSplitsBitVector.synchronized {
+ hasSplitsBitVector.set(splitIndex)
+ }
+ hasSplits += 1
+
+ // We have received splitIndex
+ splitsInRequestBitVector.synchronized {
+ splitsInRequestBitVector.set(splitIndex, false)
+ }
+ }
+ }
+ }
+
+ class ShuffleClient(splitIndex: Int, serversplitInfo: SplitInfo,
+ requestSplit: String)
+ extends Thread with Logging {
+ private var peerSocketToSource: Socket = null
+ private var oosSource: ObjectOutputStream = null
+ private var oisSource: ObjectInputStream = null
+
+ private var receptionSucceeded = false
+
+ override def run: Unit = {
+ // Setup the timeout mechanism
+ var timeOutTask = new TimerTask {
+ override def run: Unit = {
+ cleanUp()
+ }
+ }
+
+ var timeOutTimer = new Timer
+ timeOutTimer.schedule(timeOutTask,
+ TrackedCustomParallelLocalFileShuffle.MaxKnockInterval)
+
+ // Create a temp variable to be used in different places
+ val requestPath = "http://%s:%d/shuffle/%s".format(
+ serversplitInfo.hostAddress, serversplitInfo.listenPort, requestSplit)
+
+ logInfo("ShuffleClient started... => " + requestPath)
+
+ try {
+ // Connect to the source
+ peerSocketToSource =
+ new Socket(serversplitInfo.hostAddress, serversplitInfo.listenPort)
+ oosSource =
+ new ObjectOutputStream(peerSocketToSource.getOutputStream)
+ oosSource.flush()
+ var isSource = peerSocketToSource.getInputStream
+ oisSource = new ObjectInputStream(isSource)
+
+ // Send the request
+ oosSource.writeObject(requestSplit)
+ oosSource.flush()
+
+ // Receive the length of the requested file
+ var requestedFileLen = oisSource.readObject.asInstanceOf[Int]
+ logInfo("Received requestedFileLen = " + requestedFileLen)
+
+ // Turn the timer OFF, if the sender responds before timeout
+ timeOutTimer.cancel()
+
+ // Receive the file
+ if (requestedFileLen != -1) {
+ val readStartTime = System.currentTimeMillis
+ logInfo("BEGIN READ: " + requestPath)
+
+ // Receive data in an Array[Byte]
+ var recvByteArray = new Array[Byte](requestedFileLen)
+ var alreadyRead = 0
+ var bytesRead = 0
+
+ while (alreadyRead != requestedFileLen) {
+ bytesRead = isSource.read(recvByteArray, alreadyRead,
+ requestedFileLen - alreadyRead)
+ if (bytesRead > 0) {
+ alreadyRead = alreadyRead + bytesRead
+ }
+ }
+
+ // Make it available to the consumer
+ try {
+ receivedData.put((splitIndex, recvByteArray))
+ } catch {
+ case e: Exception => {
+ logInfo("Exception during putting data into receivedData")
+ }
+ }
+
+ // NOTE: Update of bitVectors are now done by the consumer
+
+ receptionSucceeded = true
+
+ logInfo("END READ: " + requestPath)
+ val readTime = System.currentTimeMillis - readStartTime
+ logInfo("Reading " + requestPath + " took " + readTime + " millis.")
+ } else {
+ throw new SparkException("ShuffleServer " + serversplitInfo.hostAddress + " does not have " + requestSplit)
+ }
+ } catch {
+ // EOFException is expected to happen because sender can break
+ // connection due to timeout
+ case eofe: java.io.EOFException => { }
+ case e: Exception => {
+ logInfo("ShuffleClient had a " + e)
+ }
+ } finally {
+ // If reception failed, unset for future retry
+ if (!receptionSucceeded) {
+ splitsInRequestBitVector.synchronized {
+ splitsInRequestBitVector.set(splitIndex, false)
+ }
+ }
+ cleanUp()
+ }
+ }
+
+ // Connect to the tracker and update its stats
+ private def sendLeavingNotification(): Unit = {
+ val clientSocketToTracker =
+ new Socket(TrackedCustomParallelLocalFileShuffle.MasterHostAddress,
+ TrackedCustomParallelLocalFileShuffle.MasterTrackerPort)
+ val oosTracker =
+ new ObjectOutputStream(clientSocketToTracker.getOutputStream)
+ oosTracker.flush()
+ val oisTracker =
+ new ObjectInputStream(clientSocketToTracker.getInputStream)
+
+ try {
+ // Send intention
+ oosTracker.writeObject(
+ TrackedCustomParallelLocalFileShuffle.ReducerLeaving)
+ oosTracker.flush()
+
+ // Send reducerSplitInfo
+ oosTracker.writeObject(getLocalSplitInfo)
+ oosTracker.flush()
+
+ // Send serverSplitInfo so that tracker can update its stats
+ oosTracker.writeObject(splitIndex)
+ oosTracker.flush()
+
+ // Receive ACK. No need to do anything with that
+ oisTracker.readObject.asInstanceOf[Int]
+ } catch {
+ case e: Exception => {
+ logInfo("sendLeavingNotification had a " + e)
+ }
+ } finally {
+ oosTracker.close()
+ oisTracker.close()
+ clientSocketToTracker.close()
+ }
+ }
+
+ private def cleanUp(): Unit = {
+ // Update tracker stats first.
+ sendLeavingNotification()
+
+ // Clean up the connections to the mapper
+ if (oisSource != null) {
+ oisSource.close()
+ }
+ if (oosSource != null) {
+ oosSource.close()
+ }
+ if (peerSocketToSource != null) {
+ peerSocketToSource.close()
+ }
+ }
+ }
+}
+
+trait ShuffleTrackerStrategy {
+ def initialize(outputLocs_ : Array[SplitInfo]): Unit
+ def selectSplitAndAddReducer(reducerSplitInfo: SplitInfo): Int
+ def deleteReducerFrom(reducerSplitInfo: SplitInfo,
+ serverSplitIndex: Int): Unit
+}
+
+class BalanceConnectionsShuffleTrackerStrategy
+extends ShuffleTrackerStrategy with Logging {
+ var outputLocs: Array[SplitInfo] = null
+ var numConnectionsPerLoc: Array[Int] = null
+
+ def initialize(outputLocs_ : Array[SplitInfo]): Unit = {
+ outputLocs = outputLocs_
+
+ // Now initialize other data structures
+ numConnectionsPerLoc = Array.tabulate(outputLocs.size)(_ => 0)
+ }
+
+ def selectSplitAndAddReducer(reducerSplitInfo: SplitInfo): Int = synchronized {
+ var minConnections = Int.MaxValue
+ var splitIndex = -1
+
+ for (i <- 0 until numConnectionsPerLoc.size) {
+ // TODO: Use of MaxRxConnections instead of MaxTxConnections is
+ // intentional here. MaxTxConnections is per machine whereas
+ // MaxRxConnections is per mapper/reducer. Will have to find a better way.
+ if (numConnectionsPerLoc(i) < TrackedCustomParallelLocalFileShuffle.MaxRxConnections &&
+ numConnectionsPerLoc(i) < minConnections &&
+ !reducerSplitInfo.hasSplitsBitVector.get(i)) {
+ minConnections = numConnectionsPerLoc(i)
+ splitIndex = i
+ }
+ }
+
+ if (splitIndex != -1) {
+ numConnectionsPerLoc(splitIndex) =
+ numConnectionsPerLoc(splitIndex) + 1
+
+ numConnectionsPerLoc.foreach { i =>
+ print ("" + i + " ")
+ }
+ println("")
+ }
+
+ return splitIndex
+ }
+
+ def deleteReducerFrom(reducerSplitInfo: SplitInfo,
+ serverSplitIndex: Int): Unit = synchronized {
+ assert(numConnectionsPerLoc(serverSplitIndex) > 0)
+
+ // Decrease number of active connections
+ numConnectionsPerLoc(serverSplitIndex) =
+ numConnectionsPerLoc(serverSplitIndex) - 1
+
+ numConnectionsPerLoc.foreach { i =>
+ print ("" + i + " ")
+ }
+ println("")
+ }
+}
+
+@serializable
+case class SplitInfo (val hostAddress: String, val listenPort: Int,
+ val inputId: Int) {
+
+ var hasSplits = 0
+ var hasSplitsBitVector: BitSet = null
+}
+
+object SplitInfo {
+ // Constants for special values of listenPort
+ val MappersBusy = -1
+
+ // Other constants
+ val UnusedParam = 0
+}
+
+object TrackedCustomParallelLocalFileShuffle extends Logging {
+ // ShuffleTracker info
+ private var MasterHostAddress_ = InetAddress.getLocalHost.getHostAddress
+ private var MasterTrackerPort_ : Int = 22222
+
+ // Used thoughout the code for small and large waits/timeouts
+ private var MinKnockInterval_ = 1000
+ private var MaxKnockInterval_ = 5000
+
+ // Maximum number of connections
+ private var MaxRxConnections_ = 4
+ private var MaxTxConnections_ = 8
+
+ // Tracker communication constants
+ val ReducerEntering = 0
+ val ReducerLeaving = 1
+
+ private var initialized = false
+ private var nextShuffleId = new AtomicLong(0)
+
+ // Variables initialized by initializeIfNeeded()
+ private var shuffleDir: File = null
+
+ private var shuffleServer: ShuffleServer = null
+ private var serverAddress = InetAddress.getLocalHost.getHostAddress
+ private var serverPort: Int = -1
+
+ // Random number generator
+ var ranGen = new Random
+
+ private def initializeIfNeeded() = synchronized {
+ if (!initialized) {
+ // Load config parameters
+ MasterHostAddress_ =
+ System.getProperty ("spark.shuffle.masterHostAddress", "127.0.0.1")
+ MasterTrackerPort_ =
+ System.getProperty ("spark.shuffle.masterTrackerPort", "22222").toInt
+
+ MinKnockInterval_ = System.getProperty(
+ "spark.parallelLocalFileShuffle.minKnockInterval", "1000").toInt
+ MaxKnockInterval_ = System.getProperty(
+ "spark.parallelLocalFileShuffle.maxKnockInterval", "5000").toInt
+
+ MaxRxConnections_ = System.getProperty(
+ "spark.parallelLocalFileShuffle.maxRxConnections", "4").toInt
+ MaxTxConnections_ = System.getProperty(
+ "spark.parallelLocalFileShuffle.maxTxConnections", "8").toInt
+
+ // TODO: localDir should be created by some mechanism common to Spark
+ // so that it can be shared among shuffle, broadcast, etc
+ val localDirRoot = System.getProperty("spark.local.dir", "/tmp")
+ var tries = 0
+ var foundLocalDir = false
+ var localDir: File = null
+ var localDirUuid: UUID = null
+
+ while (!foundLocalDir && tries < 10) {
+ tries += 1
+ try {
+ localDirUuid = UUID.randomUUID
+ localDir = new File(localDirRoot, "spark-local-" + localDirUuid)
+ if (!localDir.exists) {
+ localDir.mkdirs()
+ foundLocalDir = true
+ }
+ } catch {
+ case e: Exception =>
+ logWarning("Attempt " + tries + " to create local dir failed", e)
+ }
+ }
+ if (!foundLocalDir) {
+ logError("Failed 10 attempts to create local dir in " + localDirRoot)
+ System.exit(1)
+ }
+ shuffleDir = new File(localDir, "shuffle")
+ shuffleDir.mkdirs()
+ logInfo("Shuffle dir: " + shuffleDir)
+
+ // Create and start the shuffleServer
+ shuffleServer = new ShuffleServer
+ shuffleServer.setDaemon(true)
+ shuffleServer.start()
+ logInfo("ShuffleServer started...")
+
+ initialized = true
+ }
+ }
+
+ def MasterHostAddress = MasterHostAddress_
+ def MasterTrackerPort = MasterTrackerPort_
+
+ def MinKnockInterval = MinKnockInterval_
+ def MaxKnockInterval = MaxKnockInterval_
+
+ def MaxRxConnections = MaxRxConnections_
+ def MaxTxConnections = MaxTxConnections_
+
+ def getOutputFile(shuffleId: Long, inputId: Int, outputId: Int): File = {
+ initializeIfNeeded()
+ val dir = new File(shuffleDir, shuffleId + "/" + inputId)
+ dir.mkdirs()
+ val file = new File(dir, "" + outputId)
+ return file
+ }
+
+ def newShuffleId(): Long = {
+ nextShuffleId.getAndIncrement()
+ }
+
+ // Returns a standard ThreadFactory except all threads are daemons
+ private def newDaemonThreadFactory: ThreadFactory = {
+ new ThreadFactory {
+ def newThread(r: Runnable): Thread = {
+ var t = Executors.defaultThreadFactory.newThread(r)
+ t.setDaemon(true)
+ return t
+ }
+ }
+ }
+
+ // Wrapper over newFixedThreadPool
+ def newDaemonFixedThreadPool(nThreads: Int): ThreadPoolExecutor = {
+ var threadPool =
+ Executors.newFixedThreadPool(nThreads).asInstanceOf[ThreadPoolExecutor]
+
+ threadPool.setThreadFactory(newDaemonThreadFactory)
+
+ return threadPool
+ }
+
+ // Wrapper over newCachedThreadPool
+ def newDaemonCachedThreadPool: ThreadPoolExecutor = {
+ var threadPool =
+ Executors.newCachedThreadPool.asInstanceOf[ThreadPoolExecutor]
+
+ threadPool.setThreadFactory(newDaemonThreadFactory)
+
+ return threadPool
+ }
+
+ class ShuffleServer
+ extends Thread with Logging {
+ var threadPool =
+ newDaemonFixedThreadPool(CustomParallelLocalFileShuffle.MaxTxConnections)
+
+ var serverSocket: ServerSocket = null
+
+ override def run: Unit = {
+ serverSocket = new ServerSocket(0)
+ serverPort = serverSocket.getLocalPort
+
+ logInfo("ShuffleServer started with " + serverSocket)
+ logInfo("Local URI: http://" + serverAddress + ":" + serverPort)
+
+ try {
+ while (true) {
+ var clientSocket: Socket = null
+ try {
+ clientSocket = serverSocket.accept()
+ } catch {
+ case e: Exception => { }
+ }
+ if (clientSocket != null) {
+ logInfo("Serve: Accepted new client connection:" + clientSocket)
+ try {
+ threadPool.execute(new ShuffleServerThread(clientSocket))
+ } catch {
+ // In failure, close socket here; else, the thread will close it
+ case ioe: IOException => {
+ clientSocket.close()
+ }
+ }
+ }
+ }
+ } finally {
+ if (serverSocket != null) {
+ logInfo("ShuffleServer now stopping...")
+ serverSocket.close()
+ }
+ }
+ // Shutdown the thread pool
+ threadPool.shutdown()
+ }
+
+ class ShuffleServerThread(val clientSocket: Socket)
+ extends Thread with Logging {
+ private val os = clientSocket.getOutputStream.asInstanceOf[OutputStream]
+ os.flush()
+ private val bos = new BufferedOutputStream(os)
+ bos.flush()
+ private val oos = new ObjectOutputStream(os)
+ oos.flush()
+ private val ois = new ObjectInputStream(clientSocket.getInputStream)
+
+ logInfo("new ShuffleServerThread is running")
+
+ override def run: Unit = {
+ try {
+ // Receive requestPath from the receiver
+ var requestPath = ois.readObject.asInstanceOf[String]
+ logInfo("requestPath: " + shuffleDir + "/" + requestPath)
+
+ // Open the file
+ var requestedFile: File = null
+ var requestedFileLen = -1
+ try {
+ requestedFile = new File(shuffleDir + "/" + requestPath)
+ requestedFileLen = requestedFile.length.toInt
+ } catch {
+ case e: Exception => { }
+ }
+
+ // Send the length of the requestPath to let the receiver know that
+ // transfer is about to start
+ // In the case of receiver timeout and connection close, this will
+ // throw a java.net.SocketException: Broken pipe
+ oos.writeObject(requestedFileLen)
+ oos.flush()
+
+ logInfo("requestedFileLen = " + requestedFileLen)
+
+ // Read and send the requested file
+ if (requestedFileLen != -1) {
+ // Read
+ var byteArray = new Array[Byte](requestedFileLen)
+ val bis =
+ new BufferedInputStream(new FileInputStream(requestedFile))
+
+ var bytesRead = bis.read(byteArray, 0, byteArray.length)
+ var alreadyRead = bytesRead
+
+ while (alreadyRead < requestedFileLen) {
+ bytesRead = bis.read(byteArray, alreadyRead,
+ (byteArray.length - alreadyRead))
+ if(bytesRead > 0) {
+ alreadyRead = alreadyRead + bytesRead
+ }
+ }
+ bis.close()
+
+ // Send
+ bos.write(byteArray, 0, byteArray.length)
+ bos.flush()
+ } else {
+ // Close the connection
+ }
+ } catch {
+ // If something went wrong, e.g., the worker at the other end died etc
+ // then close everything up
+ // Exception can happen if the receiver stops receiving
+ case e: Exception => {
+ logInfo("ShuffleServerThread had a " + e)
+ }
+ } finally {
+ logInfo("ShuffleServerThread is closing streams and sockets")
+ ois.close()
+ // TODO: Following can cause "java.net.SocketException: Socket closed"
+ oos.close()
+ bos.close()
+ clientSocket.close()
+ }
+ }
+ }
+ }
+}
--
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