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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 spark.broadcast
import com.ning.compress.lzf.{LZFInputStream, LZFOutputStream}
import java.io._
import java.net._
import java.util.UUID
import it.unimi.dsi.fastutil.io.FastBufferedInputStream
import it.unimi.dsi.fastutil.io.FastBufferedOutputStream
import spark._
import spark.storage.StorageLevel
import util.{MetadataCleaner, TimeStampedHashSet}
private[spark] class HttpBroadcast[T](@transient var value_ : T, isLocal: Boolean, id: Long)
extends Broadcast[T](id) with Logging with Serializable {
def value = value_
def blockId: String = "broadcast_" + id
HttpBroadcast.synchronized {
SparkEnv.get.blockManager.putSingle(blockId, value_, StorageLevel.MEMORY_AND_DISK, false)
}
if (!isLocal) {
HttpBroadcast.write(id, value_)
}
// Called by JVM when deserializing an object
private def readObject(in: ObjectInputStream) {
in.defaultReadObject()
HttpBroadcast.synchronized {
SparkEnv.get.blockManager.getSingle(blockId) match {
case Some(x) => value_ = x.asInstanceOf[T]
case None => {
logInfo("Started reading broadcast variable " + id)
val start = System.nanoTime
value_ = HttpBroadcast.read[T](id)
SparkEnv.get.blockManager.putSingle(blockId, value_, StorageLevel.MEMORY_AND_DISK, false)
val time = (System.nanoTime - start) / 1e9
logInfo("Reading broadcast variable " + id + " took " + time + " s")
}
}
}
}
}
private[spark] class HttpBroadcastFactory extends BroadcastFactory {
def initialize(isDriver: Boolean) { HttpBroadcast.initialize(isDriver) }
def newBroadcast[T](value_ : T, isLocal: Boolean, id: Long) =
new HttpBroadcast[T](value_, isLocal, id)
def stop() { HttpBroadcast.stop() }
}
private object HttpBroadcast extends Logging {
private var initialized = false
private var broadcastDir: File = null
private var compress: Boolean = false
private var bufferSize: Int = 65536
private var serverUri: String = null
private var server: HttpServer = null
private val files = new TimeStampedHashSet[String]
private val cleaner = new MetadataCleaner("HttpBroadcast", cleanup)
def initialize(isDriver: Boolean) {
synchronized {
if (!initialized) {
bufferSize = System.getProperty("spark.buffer.size", "65536").toInt
compress = System.getProperty("spark.broadcast.compress", "true").toBoolean
if (isDriver) {
createServer()
}
serverUri = System.getProperty("spark.httpBroadcast.uri")
initialized = true
}
}
}
def stop() {
synchronized {
if (server != null) {
server.stop()
server = null
}
initialized = false
cleaner.cancel()
}
}
private def createServer() {
broadcastDir = Utils.createTempDir(Utils.getLocalDir)
server = new HttpServer(broadcastDir)
server.start()
serverUri = server.uri
System.setProperty("spark.httpBroadcast.uri", serverUri)
logInfo("Broadcast server started at " + serverUri)
}
def write(id: Long, value: Any) {
val file = new File(broadcastDir, "broadcast-" + id)
val out: OutputStream = if (compress) {
new LZFOutputStream(new FileOutputStream(file)) // Does its own buffering
} else {
new FastBufferedOutputStream(new FileOutputStream(file), bufferSize)
}
val ser = SparkEnv.get.serializer.newInstance()
val serOut = ser.serializeStream(out)
serOut.writeObject(value)
serOut.close()
files += file.getAbsolutePath
}
def read[T](id: Long): T = {
val url = serverUri + "/broadcast-" + id
var in = if (compress) {
new LZFInputStream(new URL(url).openStream()) // Does its own buffering
} else {
new FastBufferedInputStream(new URL(url).openStream(), bufferSize)
}
val ser = SparkEnv.get.serializer.newInstance()
val serIn = ser.deserializeStream(in)
val obj = serIn.readObject[T]()
serIn.close()
obj
}
def cleanup(cleanupTime: Long) {
val iterator = files.internalMap.entrySet().iterator()
while(iterator.hasNext) {
val entry = iterator.next()
val (file, time) = (entry.getKey, entry.getValue)
if (time < cleanupTime) {
try {
iterator.remove()
new File(file.toString).delete()
logInfo("Deleted broadcast file '" + file + "'")
} catch {
case e: Exception => logWarning("Could not delete broadcast file '" + file + "'", e)
}
}
}
}
}
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