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package spark
import java.io._
import java.net._
import java.util.{UUID, PriorityQueue, Comparator}
import com.google.common.collect.MapMaker
import java.util.concurrent.{Executors, ExecutorService}
import scala.actors.Actor
import scala.actors.Actor._
import scala.collection.mutable.Map
import org.apache.hadoop.conf.Configuration
import org.apache.hadoop.fs.{FileSystem, Path, RawLocalFileSystem}
import spark.compress.lzf.{LZFInputStream, LZFOutputStream}
@serializable
trait BroadcastRecipe {
val uuid = UUID.randomUUID
// We cannot have an abstract readObject here due to some weird issues with
// readObject having to be 'private' in sub-classes. Possibly a Scala bug!
def sendBroadcast: Unit
override def toString = "spark.Broadcast(" + uuid + ")"
}
// TODO: Should think about storing in HDFS in the future
// TODO: Right, now no parallelization between multiple broadcasts
@serializable
class ChainedStreamingBroadcast[T] (@transient var value_ : T, local: Boolean)
extends BroadcastRecipe with Logging {
def value = value_
BroadcastCS.synchronized { BroadcastCS.values.put (uuid, value_) }
if (!local) { sendBroadcast }
def sendBroadcast () {
// Create a variableInfo object and store it in valueInfos
var variableInfo = blockifyObject (value_, BroadcastCS.blockSize)
// TODO: Even though this part is not in use now, there is problem in the
// following statement. Shouldn't use constant port and hostAddress anymore?
// val masterSource =
// new SourceInfo (BroadcastCS.masterHostAddress, BroadcastCS.masterListenPort,
// variableInfo.totalBlocks, variableInfo.totalBytes, 0)
// variableInfo.pqOfSources.add (masterSource)
BroadcastCS.synchronized {
// BroadcastCS.valueInfos.put (uuid, variableInfo)
// TODO: Not using variableInfo in current implementation. Manually
// setting all the variables inside BroadcastCS object
BroadcastCS.initializeVariable (variableInfo)
}
// Now store a persistent copy in HDFS, just in case
val out = new ObjectOutputStream (BroadcastCH.openFileForWriting(uuid))
out.writeObject (value_)
out.close
}
private def readObject (in: ObjectInputStream) {
in.defaultReadObject
BroadcastCS.synchronized {
val cachedVal = BroadcastCS.values.get (uuid)
if (cachedVal != null) {
value_ = cachedVal.asInstanceOf[T]
} else {
// Only a single worker (the first one) in the same node can ever be
// here. The rest will always get the value ready
val start = System.nanoTime
val retByteArray = BroadcastCS.receiveBroadcast (uuid)
// If does not succeed, then get from HDFS copy
if (retByteArray != null) {
value_ = byteArrayToObject[T] (retByteArray)
BroadcastCS.values.put (uuid, value_)
// val variableInfo = blockifyObject (value_, BroadcastCS.blockSize)
// BroadcastCS.valueInfos.put (uuid, variableInfo)
} else {
val fileIn = new ObjectInputStream(BroadcastCH.openFileForReading(uuid))
value_ = fileIn.readObject.asInstanceOf[T]
BroadcastCH.values.put(uuid, value_)
fileIn.close
}
val time = (System.nanoTime - start) / 1e9
logInfo("Reading Broadcasted variable " + uuid + " took " + time + " s")
}
}
}
private def blockifyObject (obj: T, blockSize: Int): VariableInfo = {
val baos = new ByteArrayOutputStream
val oos = new ObjectOutputStream (baos)
oos.writeObject (obj)
oos.close
baos.close
val byteArray = baos.toByteArray
val bais = new ByteArrayInputStream (byteArray)
var blockNum = (byteArray.length / blockSize)
if (byteArray.length % blockSize != 0)
blockNum += 1
var retVal = new Array[BroadcastBlock] (blockNum)
var blockID = 0
// TODO: What happens in byteArray.length == 0 => blockNum == 0
for (i <- 0 until (byteArray.length, blockSize)) {
val thisBlockSize = Math.min (blockSize, byteArray.length - i)
var tempByteArray = new Array[Byte] (thisBlockSize)
val hasRead = bais.read (tempByteArray, 0, thisBlockSize)
retVal (blockID) = new BroadcastBlock (blockID, tempByteArray)
blockID += 1
}
bais.close
var variableInfo = VariableInfo (retVal, blockNum, byteArray.length)
variableInfo.hasBlocks = blockNum
return variableInfo
}
private def byteArrayToObject[A] (bytes: Array[Byte]): A = {
val in = new ObjectInputStream (new ByteArrayInputStream (bytes))
val retVal = in.readObject.asInstanceOf[A]
in.close
return retVal
}
private def getByteArrayOutputStream (obj: T): ByteArrayOutputStream = {
val bOut = new ByteArrayOutputStream
val out = new ObjectOutputStream (bOut)
out.writeObject (obj)
out.close
bOut.close
return bOut
}
}
@serializable
class CentralizedHDFSBroadcast[T](@transient var value_ : T, local: Boolean)
extends BroadcastRecipe with Logging {
def value = value_
BroadcastCH.synchronized { BroadcastCH.values.put(uuid, value_) }
if (!local) { sendBroadcast }
def sendBroadcast () {
val out = new ObjectOutputStream (BroadcastCH.openFileForWriting(uuid))
out.writeObject (value_)
out.close
}
// Called by Java when deserializing an object
private def readObject(in: ObjectInputStream) {
in.defaultReadObject
BroadcastCH.synchronized {
val cachedVal = BroadcastCH.values.get(uuid)
if (cachedVal != null) {
value_ = cachedVal.asInstanceOf[T]
} else {
val start = System.nanoTime
val fileIn = new ObjectInputStream(BroadcastCH.openFileForReading(uuid))
value_ = fileIn.readObject.asInstanceOf[T]
BroadcastCH.values.put(uuid, value_)
fileIn.close
val time = (System.nanoTime - start) / 1e9
logInfo("Reading Broadcasted variable " + uuid + " took " + time + " s")
}
}
}
}
@serializable
case class SourceInfo (val hostAddress: String, val listenPort: Int,
val totalBlocks: Int, val totalBytes: Int, val replicaID: Int)
extends Comparable[SourceInfo]{
var currentLeechers = 0
var receptionFailed = false
def compareTo (o: SourceInfo): Int = (currentLeechers - o.currentLeechers)
}
@serializable
case class BroadcastBlock (val blockID: Int, val byteArray: Array[Byte]) { }
@serializable
case class VariableInfo (@transient val arrayOfBlocks : Array[BroadcastBlock],
val totalBlocks: Int, val totalBytes: Int) {
@transient var hasBlocks = 0
val listenPortLock = new AnyRef
val totalBlocksLock = new AnyRef
val hasBlocksLock = new AnyRef
@transient var pqOfSources = new PriorityQueue[SourceInfo]
}
private object Broadcast {
private var initialized = false
// Will be called by SparkContext or Executor before using Broadcast
// Calls all other initializers here
def initialize (isMaster: Boolean) {
synchronized {
if (!initialized) {
// Initialization for CentralizedHDFSBroadcast
BroadcastCH.initialize
// Initialization for ChainedStreamingBroadcast
//BroadcastCS.initialize (isMaster)
initialized = true
}
}
}
}
private object BroadcastCS extends Logging {
val values = new MapMaker ().softValues ().makeMap[UUID, Any]
// val valueInfos = new MapMaker ().softValues ().makeMap[UUID, Any]
// private var valueToPort = Map[UUID, Int] ()
private var initialized = false
private var isMaster_ = false
private var masterHostAddress_ = "127.0.0.1"
private var masterListenPort_ : Int = 11111
private var blockSize_ : Int = 512 * 1024
private var maxRetryCount_ : Int = 2
private var serverSocketTimout_ : Int = 50000
private var dualMode_ : Boolean = false
private val hostAddress = InetAddress.getLocalHost.getHostAddress
private var listenPort = -1
var arrayOfBlocks: Array[BroadcastBlock] = null
var totalBytes = -1
var totalBlocks = -1
var hasBlocks = 0
val listenPortLock = new Object
val totalBlocksLock = new Object
val hasBlocksLock = new Object
var pqOfSources = new PriorityQueue[SourceInfo]
private var serveMR: ServeMultipleRequests = null
private var guideMR: GuideMultipleRequests = null
def initialize (isMaster__ : Boolean) {
synchronized {
if (!initialized) {
masterHostAddress_ =
System.getProperty ("spark.broadcast.masterHostAddress", "127.0.0.1")
masterListenPort_ =
System.getProperty ("spark.broadcast.masterListenPort", "11111").toInt
blockSize_ =
System.getProperty ("spark.broadcast.blockSize", "512").toInt * 1024
maxRetryCount_ =
System.getProperty ("spark.broadcast.maxRetryCount", "2").toInt
serverSocketTimout_ =
System.getProperty ("spark.broadcast.serverSocketTimout", "50000").toInt
dualMode_ =
System.getProperty ("spark.broadcast.dualMode", "false").toBoolean
isMaster_ = isMaster__
if (isMaster) {
guideMR = new GuideMultipleRequests
guideMR.setDaemon (true)
guideMR.start
logInfo("GuideMultipleRequests started")
}
serveMR = new ServeMultipleRequests
serveMR.setDaemon (true)
serveMR.start
logInfo("ServeMultipleRequests started")
logInfo("BroadcastCS object has been initialized")
initialized = true
}
}
}
// TODO: This should change in future implementation.
// Called from the Master constructor to setup states for this particular that
// is being broadcasted
def initializeVariable (variableInfo: VariableInfo) {
arrayOfBlocks = variableInfo.arrayOfBlocks
totalBytes = variableInfo.totalBytes
totalBlocks = variableInfo.totalBlocks
hasBlocks = variableInfo.totalBlocks
// listenPort should already be valid
assert (listenPort != -1)
pqOfSources = new PriorityQueue[SourceInfo]
val masterSource_0 =
new SourceInfo (hostAddress, listenPort, totalBlocks, totalBytes, 0)
BroadcastCS.pqOfSources.add (masterSource_0)
// Add one more time to have two replicas of any seeds in the PQ
if (BroadcastCS.dualMode) {
val masterSource_1 =
new SourceInfo (hostAddress, listenPort, totalBlocks, totalBytes, 1)
BroadcastCS.pqOfSources.add (masterSource_1)
}
}
def masterHostAddress = masterHostAddress_
def masterListenPort = masterListenPort_
def blockSize = blockSize_
def maxRetryCount = maxRetryCount_
def serverSocketTimout = serverSocketTimout_
def dualMode = dualMode_
def isMaster = isMaster_
def receiveBroadcast (variableUUID: UUID): Array[Byte] = {
// Wait until hostAddress and listenPort are created by the
// ServeMultipleRequests thread
// NO need to wait; ServeMultipleRequests is created much further ahead
while (listenPort == -1) {
listenPortLock.synchronized {
listenPortLock.wait
}
}
// Connect and receive broadcast from the specified source, retrying the
// specified number of times in case of failures
var retriesLeft = BroadcastCS.maxRetryCount
var retByteArray: Array[Byte] = null
do {
// Connect to Master and send this worker's Information
val clientSocketToMaster =
new Socket(BroadcastCS.masterHostAddress, BroadcastCS.masterListenPort)
logInfo("Connected to Master's guiding object")
// TODO: Guiding object connection is reusable
val oisMaster =
new ObjectInputStream (clientSocketToMaster.getInputStream)
val oosMaster =
new ObjectOutputStream (clientSocketToMaster.getOutputStream)
oosMaster.writeObject(new SourceInfo (hostAddress, listenPort, -1, -1, 0))
oosMaster.flush
// Receive source information from Master
var sourceInfo = oisMaster.readObject.asInstanceOf[SourceInfo]
totalBlocks = sourceInfo.totalBlocks
arrayOfBlocks = new Array[BroadcastBlock] (totalBlocks)
totalBlocksLock.synchronized {
totalBlocksLock.notifyAll
}
totalBytes = sourceInfo.totalBytes
logInfo("Received SourceInfo from Master:" + sourceInfo + " My Port: " + listenPort)
retByteArray = receiveSingleTransmission (sourceInfo)
logInfo("I got this from receiveSingleTransmission: " + retByteArray)
// TODO: Update sourceInfo to add error notifactions for Master
if (retByteArray == null) { sourceInfo.receptionFailed = true }
// TODO: Supposed to update values here, but we don't support advanced
// statistics right now. Master can handle leecherCount by itself.
// Send back statistics to the Master
oosMaster.writeObject (sourceInfo)
oisMaster.close
oosMaster.close
clientSocketToMaster.close
retriesLeft -= 1
} while (retriesLeft > 0 && retByteArray == null)
return retByteArray
}
// Tries to receive broadcast from the Master and returns Boolean status.
// This might be called multiple times to retry a defined number of times.
private def receiveSingleTransmission(sourceInfo: SourceInfo): Array[Byte] = {
var clientSocketToSource: Socket = null
var oisSource: ObjectInputStream = null
var oosSource: ObjectOutputStream = null
var retByteArray:Array[Byte] = null
try {
// Connect to the source to get the object itself
clientSocketToSource =
new Socket (sourceInfo.hostAddress, sourceInfo.listenPort)
oosSource =
new ObjectOutputStream (clientSocketToSource.getOutputStream)
oisSource =
new ObjectInputStream (clientSocketToSource.getInputStream)
logInfo("Inside receiveSingleTransmission")
logInfo("totalBlocks: "+ totalBlocks + " " + "hasBlocks: " + hasBlocks)
retByteArray = new Array[Byte] (totalBytes)
for (i <- 0 until totalBlocks) {
val bcBlock = oisSource.readObject.asInstanceOf[BroadcastBlock]
System.arraycopy (bcBlock.byteArray, 0, retByteArray,
i * BroadcastCS.blockSize, bcBlock.byteArray.length)
arrayOfBlocks(hasBlocks) = bcBlock
hasBlocks += 1
hasBlocksLock.synchronized {
hasBlocksLock.notifyAll
}
logInfo("Received block: " + i + " " + bcBlock)
}
assert (hasBlocks == totalBlocks)
logInfo("After the receive loop")
} catch {
case e: Exception => {
retByteArray = null
logInfo("receiveSingleTransmission had a " + e)
}
} finally {
if (oisSource != null) { oisSource.close }
if (oosSource != null) {
oosSource.close
}
if (clientSocketToSource != null) { clientSocketToSource.close }
}
return retByteArray
}
class TrackMultipleValues extends Thread with Logging {
override def run = {
var threadPool = Executors.newCachedThreadPool
var serverSocket: ServerSocket = null
serverSocket = new ServerSocket (BroadcastCS.masterListenPort)
logInfo("TrackMultipleVariables" + serverSocket + " " + listenPort)
var keepAccepting = true
try {
while (true) {
var clientSocket: Socket = null
try {
serverSocket.setSoTimeout (serverSocketTimout)
clientSocket = serverSocket.accept
} catch {
case e: Exception => {
logInfo("TrackMultipleValues Timeout. Stopping listening...")
keepAccepting = false
}
}
logInfo("TrackMultipleValues:Got new request:" + clientSocket)
if (clientSocket != null) {
try {
threadPool.execute (new Runnable {
def run = {
val oos = new ObjectOutputStream (clientSocket.getOutputStream)
val ois = new ObjectInputStream (clientSocket.getInputStream)
try {
val variableUUID = ois.readObject.asInstanceOf[UUID]
var contactPort = 0
// TODO: Add logic and data structures to find out UUID->port
// mapping. 0 = missed the broadcast, read from HDFS; <0 =
// Haven't started yet, wait & retry; >0 = Read from this port
oos.writeObject (contactPort)
} catch {
case e: Exception => { }
} finally {
ois.close
oos.close
clientSocket.close
}
}
})
} catch {
// In failure, close the socket here; else, the thread will close it
case ioe: IOException => clientSocket.close
}
}
}
} finally {
serverSocket.close
}
}
}
class TrackSingleValue {
}
class GuideMultipleRequests extends Thread with Logging {
override def run = {
var threadPool = Executors.newCachedThreadPool
var serverSocket: ServerSocket = null
serverSocket = new ServerSocket (BroadcastCS.masterListenPort)
// listenPort = BroadcastCS.masterListenPort
logInfo("GuideMultipleRequests" + serverSocket + " " + listenPort)
var keepAccepting = true
try {
while (keepAccepting) {
var clientSocket: Socket = null
try {
serverSocket.setSoTimeout (serverSocketTimout)
clientSocket = serverSocket.accept
} catch {
case e: Exception => {
logInfo("GuideMultipleRequests Timeout. Stopping listening...")
keepAccepting = false
}
}
if (clientSocket != null) {
logInfo("Guide:Accepted new client connection:" + clientSocket)
try {
threadPool.execute (new GuideSingleRequest (clientSocket))
} catch {
// In failure, close the socket here; else, the thread will close it
case ioe: IOException => clientSocket.close
}
}
}
} finally {
serverSocket.close
}
}
class GuideSingleRequest (val clientSocket: Socket)
extends Runnable with Logging {
private val oos = new ObjectOutputStream (clientSocket.getOutputStream)
private val ois = new ObjectInputStream (clientSocket.getInputStream)
private var selectedSourceInfo: SourceInfo = null
private var thisWorkerInfo:SourceInfo = null
def run = {
try {
logInfo("new GuideSingleRequest is running")
// Connecting worker is sending in its hostAddress and listenPort it will
// be listening to. ReplicaID is 0 and other fields are invalid (-1)
var sourceInfo = ois.readObject.asInstanceOf[SourceInfo]
// Select a suitable source and send it back to the worker
selectedSourceInfo = selectSuitableSource (sourceInfo)
logInfo("Sending selectedSourceInfo:" + selectedSourceInfo)
oos.writeObject (selectedSourceInfo)
oos.flush
// Add this new (if it can finish) source to the PQ of sources
thisWorkerInfo = new SourceInfo(sourceInfo.hostAddress,
sourceInfo.listenPort, totalBlocks, totalBytes, 0)
logInfo("Adding possible new source to pqOfSources: " + thisWorkerInfo)
pqOfSources.synchronized {
pqOfSources.add (thisWorkerInfo)
}
// Wait till the whole transfer is done. Then receive and update source
// statistics in pqOfSources
sourceInfo = ois.readObject.asInstanceOf[SourceInfo]
pqOfSources.synchronized {
// This should work since SourceInfo is a case class
assert (pqOfSources.contains (selectedSourceInfo))
// Remove first
pqOfSources.remove (selectedSourceInfo)
// TODO: Removing a source based on just one failure notification!
// Update leecher count and put it back in IF reception succeeded
if (!sourceInfo.receptionFailed) {
selectedSourceInfo.currentLeechers -= 1
pqOfSources.add (selectedSourceInfo)
// No need to find and update thisWorkerInfo, but add its replica
if (BroadcastCS.dualMode) {
pqOfSources.add (new SourceInfo (thisWorkerInfo.hostAddress,
thisWorkerInfo.listenPort, totalBlocks, totalBytes, 1))
}
}
}
} catch {
// If something went wrong, e.g., the worker at the other end died etc.
// then close everything up
case e: Exception => {
// Assuming that exception caused due to receiver worker failure
// Remove failed worker from pqOfSources and update leecherCount of
// corresponding source worker
pqOfSources.synchronized {
if (selectedSourceInfo != null) {
// Remove first
pqOfSources.remove (selectedSourceInfo)
// Update leecher count and put it back in
selectedSourceInfo.currentLeechers -= 1
pqOfSources.add (selectedSourceInfo)
}
// Remove thisWorkerInfo
if (pqOfSources != null) { pqOfSources.remove (thisWorkerInfo) }
}
}
} finally {
ois.close
oos.close
clientSocket.close
}
}
// TODO: If a worker fails to get the broadcasted variable from a source and
// comes back to Master, this function might choose the worker itself as a
// source tp create a dependency cycle (this worker was put into pqOfSources
// as a streming source when it first arrived). The length of this cycle can
// be arbitrarily long.
private def selectSuitableSource(skipSourceInfo: SourceInfo): SourceInfo = {
// Select one with the lowest number of leechers
pqOfSources.synchronized {
// take is a blocking call removing the element from PQ
var selectedSource = pqOfSources.poll
assert (selectedSource != null)
// Update leecher count
selectedSource.currentLeechers += 1
// Add it back and then return
pqOfSources.add (selectedSource)
return selectedSource
}
}
}
}
class ServeMultipleRequests extends Thread with Logging {
override def run = {
var threadPool = Executors.newCachedThreadPool
var serverSocket: ServerSocket = null
serverSocket = new ServerSocket (0)
listenPort = serverSocket.getLocalPort
logInfo("ServeMultipleRequests" + serverSocket + " " + listenPort)
listenPortLock.synchronized {
listenPortLock.notifyAll
}
var keepAccepting = true
try {
while (keepAccepting) {
var clientSocket: Socket = null
try {
serverSocket.setSoTimeout (serverSocketTimout)
clientSocket = serverSocket.accept
} catch {
case e: Exception => {
logInfo("ServeMultipleRequests Timeout. Stopping listening...")
keepAccepting = false
}
}
if (clientSocket != null) {
logInfo("Serve:Accepted new client connection:" + clientSocket)
try {
threadPool.execute (new ServeSingleRequest (clientSocket))
} catch {
// In failure, close socket here; else, the thread will close it
case ioe: IOException => clientSocket.close
}
}
}
} finally {
serverSocket.close
}
}
class ServeSingleRequest (val clientSocket: Socket)
extends Runnable with Logging {
private val oos = new ObjectOutputStream (clientSocket.getOutputStream)
private val ois = new ObjectInputStream (clientSocket.getInputStream)
def run = {
try {
logInfo("new ServeSingleRequest is running")
sendObject
} catch {
// TODO: Need to add better exception handling here
// If something went wrong, e.g., the worker at the other end died etc.
// then close everything up
case e: Exception => {
logInfo("ServeSingleRequest had a " + e)
}
} finally {
logInfo("ServeSingleRequest is closing streams and sockets")
ois.close
oos.close
clientSocket.close
}
}
private def sendObject = {
// Wait till receiving the SourceInfo from Master
while (totalBlocks == -1) {
totalBlocksLock.synchronized {
totalBlocksLock.wait
}
}
for (i <- 0 until totalBlocks) {
while (i == hasBlocks) {
hasBlocksLock.synchronized {
hasBlocksLock.wait
}
}
try {
oos.writeObject (arrayOfBlocks(i))
oos.flush
} catch {
case e: Exception => { }
}
logInfo("Send block: " + i + " " + arrayOfBlocks(i))
}
}
}
}
}
private object BroadcastCH extends Logging {
val values = new MapMaker ().softValues ().makeMap[UUID, Any]
private var initialized = false
private var fileSystem: FileSystem = null
private var workDir: String = null
private var compress: Boolean = false
private var bufferSize: Int = 65536
def initialize () {
synchronized {
if (!initialized) {
bufferSize = System.getProperty("spark.buffer.size", "65536").toInt
val dfs = System.getProperty("spark.dfs", "file:///")
if (!dfs.startsWith("file://")) {
val conf = new Configuration()
conf.setInt("io.file.buffer.size", bufferSize)
val rep = System.getProperty("spark.dfs.replication", "3").toInt
conf.setInt("dfs.replication", rep)
fileSystem = FileSystem.get(new URI(dfs), conf)
}
workDir = System.getProperty("spark.dfs.workdir", "/tmp")
compress = System.getProperty("spark.compress", "false").toBoolean
initialized = true
}
}
}
private def getPath(uuid: UUID) = new Path(workDir + "/broadcast-" + uuid)
def openFileForReading(uuid: UUID): InputStream = {
val fileStream = if (fileSystem != null) {
fileSystem.open(getPath(uuid))
} else {
// Local filesystem
new FileInputStream(getPath(uuid).toString)
}
if (compress)
new LZFInputStream(fileStream) // LZF stream does its own buffering
else if (fileSystem == null)
new BufferedInputStream(fileStream, bufferSize)
else
fileStream // Hadoop streams do their own buffering
}
def openFileForWriting(uuid: UUID): OutputStream = {
val fileStream = if (fileSystem != null) {
fileSystem.create(getPath(uuid))
} else {
// Local filesystem
new FileOutputStream(getPath(uuid).toString)
}
if (compress)
new LZFOutputStream(fileStream) // LZF stream does its own buffering
else if (fileSystem == null)
new BufferedOutputStream(fileStream, bufferSize)
else
fileStream // Hadoop streams do their own buffering
}
}
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