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author | Josh Rosen <joshrosen@eecs.berkeley.edu> | 2013-10-19 16:44:18 -0700 |
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committer | Josh Rosen <rosenville@gmail.com> | 2013-10-19 20:01:22 -0700 |
commit | 9159d2d09d459e8879fee2222edd53860adc2b44 (patch) | |
tree | 22765883d432553353214f1c6753649ef564cd9e /core | |
parent | 6511bbe2adeb5e361fb3c31bbda245eeb890647a (diff) | |
download | spark-9159d2d09d459e8879fee2222edd53860adc2b44.tar.gz spark-9159d2d09d459e8879fee2222edd53860adc2b44.tar.bz2 spark-9159d2d09d459e8879fee2222edd53860adc2b44.zip |
Split MapOutputTracker into Master/Worker classes.
Previously, MapOutputTracker contained fields and methods that
were only applicable to the master or worker instances. This
commit introduces a MasterMapOutputTracker class to prevent
the master-specific methods from being accessed on workers.
I also renamed a few methods and made others protected/private.
Diffstat (limited to 'core')
5 files changed, 113 insertions, 98 deletions
diff --git a/core/src/main/scala/org/apache/spark/MapOutputTracker.scala b/core/src/main/scala/org/apache/spark/MapOutputTracker.scala index 1e3f1ebfaf..f0f8f2d2c7 100644 --- a/core/src/main/scala/org/apache/spark/MapOutputTracker.scala +++ b/core/src/main/scala/org/apache/spark/MapOutputTracker.scala @@ -20,13 +20,11 @@ package org.apache.spark import java.io._ import java.util.zip.{GZIPInputStream, GZIPOutputStream} -import scala.collection.mutable.HashMap import scala.collection.mutable.HashSet import akka.actor._ import akka.dispatch._ import akka.pattern.ask -import akka.remote._ import akka.util.Duration @@ -40,11 +38,12 @@ private[spark] case class GetMapOutputStatuses(shuffleId: Int, requester: String extends MapOutputTrackerMessage private[spark] case object StopMapOutputTracker extends MapOutputTrackerMessage -private[spark] class MapOutputTrackerActor(tracker: MapOutputTracker) extends Actor with Logging { +private[spark] class MapOutputTrackerMasterActor(tracker: MapOutputTrackerMaster) + extends Actor with Logging { def receive = { case GetMapOutputStatuses(shuffleId: Int, requester: String) => logInfo("Asked to send map output locations for shuffle " + shuffleId + " to " + requester) - sender ! tracker.getSerializedLocations(shuffleId) + sender ! tracker.getSerializedMapOutputStatuses(shuffleId) case StopMapOutputTracker => logInfo("MapOutputTrackerActor stopped!") @@ -60,22 +59,19 @@ private[spark] class MapOutputTracker extends Logging { // Set to the MapOutputTrackerActor living on the driver var trackerActor: ActorRef = _ - private var mapStatuses = new TimeStampedHashMap[Int, Array[MapStatus]] + protected val mapStatuses = new TimeStampedHashMap[Int, Array[MapStatus]] // Incremented every time a fetch fails so that client nodes know to clear // their cache of map output locations if this happens. - private var epoch: Long = 0 - private val epochLock = new java.lang.Object + protected var epoch: Long = 0 + protected val epochLock = new java.lang.Object - // Cache a serialized version of the output statuses for each shuffle to send them out faster - var cacheEpoch = epoch - private val cachedSerializedStatuses = new TimeStampedHashMap[Int, Array[Byte]] - - val metadataCleaner = new MetadataCleaner(MetadataCleanerType.MAP_OUTPUT_TRACKER, this.cleanup) + private val metadataCleaner = + new MetadataCleaner(MetadataCleanerType.MAP_OUTPUT_TRACKER, this.cleanup) // Send a message to the trackerActor and get its result within a default timeout, or // throw a SparkException if this fails. - def askTracker(message: Any): Any = { + private def askTracker(message: Any): Any = { try { val future = trackerActor.ask(message)(timeout) return Await.result(future, timeout) @@ -86,50 +82,12 @@ private[spark] class MapOutputTracker extends Logging { } // Send a one-way message to the trackerActor, to which we expect it to reply with true. - def communicate(message: Any) { + private def communicate(message: Any) { if (askTracker(message) != true) { throw new SparkException("Error reply received from MapOutputTracker") } } - def registerShuffle(shuffleId: Int, numMaps: Int) { - if (mapStatuses.putIfAbsent(shuffleId, new Array[MapStatus](numMaps)).isDefined) { - throw new IllegalArgumentException("Shuffle ID " + shuffleId + " registered twice") - } - } - - def registerMapOutput(shuffleId: Int, mapId: Int, status: MapStatus) { - var array = mapStatuses(shuffleId) - array.synchronized { - array(mapId) = status - } - } - - def registerMapOutputs( - shuffleId: Int, - statuses: Array[MapStatus], - changeEpoch: Boolean = false) { - mapStatuses.put(shuffleId, Array[MapStatus]() ++ statuses) - if (changeEpoch) { - incrementEpoch() - } - } - - def unregisterMapOutput(shuffleId: Int, mapId: Int, bmAddress: BlockManagerId) { - var arrayOpt = mapStatuses.get(shuffleId) - if (arrayOpt.isDefined && arrayOpt.get != null) { - var array = arrayOpt.get - array.synchronized { - if (array(mapId) != null && array(mapId).location == bmAddress) { - array(mapId) = null - } - } - incrementEpoch() - } else { - throw new SparkException("unregisterMapOutput called for nonexistent shuffle ID") - } - } - // Remembers which map output locations are currently being fetched on a worker private val fetching = new HashSet[Int] @@ -168,7 +126,7 @@ private[spark] class MapOutputTracker extends Logging { try { val fetchedBytes = askTracker(GetMapOutputStatuses(shuffleId, hostPort)).asInstanceOf[Array[Byte]] - fetchedStatuses = deserializeStatuses(fetchedBytes) + fetchedStatuses = MapOutputTracker.deserializeMapStatuses(fetchedBytes) logInfo("Got the output locations") mapStatuses.put(shuffleId, fetchedStatuses) } finally { @@ -194,9 +152,8 @@ private[spark] class MapOutputTracker extends Logging { } } - private def cleanup(cleanupTime: Long) { + protected def cleanup(cleanupTime: Long) { mapStatuses.clearOldValues(cleanupTime) - cachedSerializedStatuses.clearOldValues(cleanupTime) } def stop() { @@ -206,15 +163,7 @@ private[spark] class MapOutputTracker extends Logging { trackerActor = null } - // Called on master to increment the epoch number - def incrementEpoch() { - epochLock.synchronized { - epoch += 1 - logDebug("Increasing epoch to " + epoch) - } - } - - // Called on master or workers to get current epoch number + // Called to get current epoch number def getEpoch: Long = { epochLock.synchronized { return epoch @@ -228,14 +177,63 @@ private[spark] class MapOutputTracker extends Logging { epochLock.synchronized { if (newEpoch > epoch) { logInfo("Updating epoch to " + newEpoch + " and clearing cache") - // mapStatuses = new TimeStampedHashMap[Int, Array[MapStatus]] - mapStatuses.clear() epoch = newEpoch + mapStatuses.clear() + } + } + } +} + +private[spark] class MapOutputTrackerMaster extends MapOutputTracker { + + // Cache a serialized version of the output statuses for each shuffle to send them out faster + private var cacheEpoch = epoch + private val cachedSerializedStatuses = new TimeStampedHashMap[Int, Array[Byte]] + + def registerShuffle(shuffleId: Int, numMaps: Int) { + if (mapStatuses.putIfAbsent(shuffleId, new Array[MapStatus](numMaps)).isDefined) { + throw new IllegalArgumentException("Shuffle ID " + shuffleId + " registered twice") + } + } + + def registerMapOutput(shuffleId: Int, mapId: Int, status: MapStatus) { + val array = mapStatuses(shuffleId) + array.synchronized { + array(mapId) = status + } + } + + def registerMapOutputs(shuffleId: Int, statuses: Array[MapStatus], + changeEpoch: Boolean = false) { + mapStatuses.put(shuffleId, Array[MapStatus]() ++ statuses) + if (changeEpoch) { + incrementEpoch() + } + } + + def unregisterMapOutput(shuffleId: Int, mapId: Int, bmAddress: BlockManagerId) { + val arrayOpt = mapStatuses.get(shuffleId) + if (arrayOpt.isDefined && arrayOpt.get != null) { + val array = arrayOpt.get + array.synchronized { + if (array(mapId) != null && array(mapId).location == bmAddress) { + array(mapId) = null + } } + incrementEpoch() + } else { + throw new SparkException("unregisterMapOutput called for nonexistent shuffle ID") } } - def getSerializedLocations(shuffleId: Int): Array[Byte] = { + def incrementEpoch() { + epochLock.synchronized { + epoch += 1 + logDebug("Increasing epoch to " + epoch) + } + } + + def getSerializedMapOutputStatuses(shuffleId: Int): Array[Byte] = { var statuses: Array[MapStatus] = null var epochGotten: Long = -1 epochLock.synchronized { @@ -253,7 +251,7 @@ private[spark] class MapOutputTracker extends Logging { } // If we got here, we failed to find the serialized locations in the cache, so we pulled // out a snapshot of the locations as "locs"; let's serialize and return that - val bytes = serializeStatuses(statuses) + val bytes = MapOutputTracker.serializeMapStatuses(statuses) logInfo("Size of output statuses for shuffle %d is %d bytes".format(shuffleId, bytes.length)) // Add them into the table only if the epoch hasn't changed while we were working epochLock.synchronized { @@ -261,13 +259,34 @@ private[spark] class MapOutputTracker extends Logging { cachedSerializedStatuses(shuffleId) = bytes } } - return bytes + bytes + } + + protected override def cleanup(cleanupTime: Long) { + super.cleanup(cleanupTime) + cachedSerializedStatuses.clearOldValues(cleanupTime) + } + + override def stop() { + super.stop() + cachedSerializedStatuses.clear() + } + + override def updateEpoch(newEpoch: Long) { + // This might be called on the MapOutputTrackerMaster if we're running in local mode: + epochLock.synchronized { + assert (newEpoch == epoch) + } } +} + +private[spark] object MapOutputTracker { + private val LOG_BASE = 1.1 // Serialize an array of map output locations into an efficient byte format so that we can send // it to reduce tasks. We do this by compressing the serialized bytes using GZIP. They will // generally be pretty compressible because many map outputs will be on the same hostname. - private def serializeStatuses(statuses: Array[MapStatus]): Array[Byte] = { + def serializeMapStatuses(statuses: Array[MapStatus]): Array[Byte] = { val out = new ByteArrayOutputStream val objOut = new ObjectOutputStream(new GZIPOutputStream(out)) // Since statuses can be modified in parallel, sync on it @@ -278,18 +297,11 @@ private[spark] class MapOutputTracker extends Logging { out.toByteArray } - // Opposite of serializeStatuses. - def deserializeStatuses(bytes: Array[Byte]): Array[MapStatus] = { + // Opposite of serializeMapStatuses. + def deserializeMapStatuses(bytes: Array[Byte]): Array[MapStatus] = { val objIn = new ObjectInputStream(new GZIPInputStream(new ByteArrayInputStream(bytes))) - objIn.readObject(). - // // drop all null's from status - not sure why they are occuring though. Causes NPE downstream in slave if present - // comment this out - nulls could be due to missing location ? - asInstanceOf[Array[MapStatus]] // .filter( _ != null ) + objIn.readObject().asInstanceOf[Array[MapStatus]] } -} - -private[spark] object MapOutputTracker { - private val LOG_BASE = 1.1 // Convert an array of MapStatuses to locations and sizes for a given reduce ID. If // any of the statuses is null (indicating a missing location due to a failed mapper), diff --git a/core/src/main/scala/org/apache/spark/SparkEnv.scala b/core/src/main/scala/org/apache/spark/SparkEnv.scala index 29968c273c..aaab717bcf 100644 --- a/core/src/main/scala/org/apache/spark/SparkEnv.scala +++ b/core/src/main/scala/org/apache/spark/SparkEnv.scala @@ -187,10 +187,14 @@ object SparkEnv extends Logging { // Have to assign trackerActor after initialization as MapOutputTrackerActor // requires the MapOutputTracker itself - val mapOutputTracker = new MapOutputTracker() + val mapOutputTracker = if (isDriver) { + new MapOutputTrackerMaster() + } else { + new MapOutputTracker() + } mapOutputTracker.trackerActor = registerOrLookup( "MapOutputTracker", - new MapOutputTrackerActor(mapOutputTracker)) + new MapOutputTrackerMasterActor(mapOutputTracker.asInstanceOf[MapOutputTrackerMaster])) val shuffleFetcher = instantiateClass[ShuffleFetcher]( "spark.shuffle.fetcher", "org.apache.spark.BlockStoreShuffleFetcher") diff --git a/core/src/main/scala/org/apache/spark/scheduler/DAGScheduler.scala b/core/src/main/scala/org/apache/spark/scheduler/DAGScheduler.scala index d84f5968df..e58ff37b9b 100644 --- a/core/src/main/scala/org/apache/spark/scheduler/DAGScheduler.scala +++ b/core/src/main/scala/org/apache/spark/scheduler/DAGScheduler.scala @@ -52,13 +52,14 @@ import org.apache.spark.util.{MetadataCleaner, MetadataCleanerType, TimeStampedH private[spark] class DAGScheduler( taskSched: TaskScheduler, - mapOutputTracker: MapOutputTracker, + mapOutputTracker: MapOutputTrackerMaster, blockManagerMaster: BlockManagerMaster, env: SparkEnv) extends Logging { def this(taskSched: TaskScheduler) { - this(taskSched, SparkEnv.get.mapOutputTracker, SparkEnv.get.blockManager.master, SparkEnv.get) + this(taskSched, SparkEnv.get.mapOutputTracker.asInstanceOf[MapOutputTrackerMaster], + SparkEnv.get.blockManager.master, SparkEnv.get) } taskSched.setDAGScheduler(this) diff --git a/core/src/test/scala/org/apache/spark/MapOutputTrackerSuite.scala b/core/src/test/scala/org/apache/spark/MapOutputTrackerSuite.scala index 6013320eaa..b7eb268bd5 100644 --- a/core/src/test/scala/org/apache/spark/MapOutputTrackerSuite.scala +++ b/core/src/test/scala/org/apache/spark/MapOutputTrackerSuite.scala @@ -48,15 +48,15 @@ class MapOutputTrackerSuite extends FunSuite with LocalSparkContext { test("master start and stop") { val actorSystem = ActorSystem("test") - val tracker = new MapOutputTracker() - tracker.trackerActor = actorSystem.actorOf(Props(new MapOutputTrackerActor(tracker))) + val tracker = new MapOutputTrackerMaster() + tracker.trackerActor = actorSystem.actorOf(Props(new MapOutputTrackerMasterActor(tracker))) tracker.stop() } test("master register and fetch") { val actorSystem = ActorSystem("test") - val tracker = new MapOutputTracker() - tracker.trackerActor = actorSystem.actorOf(Props(new MapOutputTrackerActor(tracker))) + val tracker = new MapOutputTrackerMaster() + tracker.trackerActor = actorSystem.actorOf(Props(new MapOutputTrackerMasterActor(tracker))) tracker.registerShuffle(10, 2) val compressedSize1000 = MapOutputTracker.compressSize(1000L) val compressedSize10000 = MapOutputTracker.compressSize(10000L) @@ -74,19 +74,17 @@ class MapOutputTrackerSuite extends FunSuite with LocalSparkContext { test("master register and unregister and fetch") { val actorSystem = ActorSystem("test") - val tracker = new MapOutputTracker() - tracker.trackerActor = actorSystem.actorOf(Props(new MapOutputTrackerActor(tracker))) + val tracker = new MapOutputTrackerMaster() + tracker.trackerActor = actorSystem.actorOf(Props(new MapOutputTrackerMasterActor(tracker))) tracker.registerShuffle(10, 2) val compressedSize1000 = MapOutputTracker.compressSize(1000L) val compressedSize10000 = MapOutputTracker.compressSize(10000L) - val size1000 = MapOutputTracker.decompressSize(compressedSize1000) - val size10000 = MapOutputTracker.decompressSize(compressedSize10000) tracker.registerMapOutput(10, 0, new MapStatus(BlockManagerId("a", "hostA", 1000, 0), Array(compressedSize1000, compressedSize1000, compressedSize1000))) tracker.registerMapOutput(10, 1, new MapStatus(BlockManagerId("b", "hostB", 1000, 0), Array(compressedSize10000, compressedSize1000, compressedSize1000))) - // As if we had two simulatenous fetch failures + // As if we had two simultaneous fetch failures tracker.unregisterMapOutput(10, 0, BlockManagerId("a", "hostA", 1000, 0)) tracker.unregisterMapOutput(10, 0, BlockManagerId("a", "hostA", 1000, 0)) @@ -102,9 +100,9 @@ class MapOutputTrackerSuite extends FunSuite with LocalSparkContext { System.setProperty("spark.driver.port", boundPort.toString) // Will be cleared by LocalSparkContext System.setProperty("spark.hostPort", hostname + ":" + boundPort) - val masterTracker = new MapOutputTracker() + val masterTracker = new MapOutputTrackerMaster() masterTracker.trackerActor = actorSystem.actorOf( - Props(new MapOutputTrackerActor(masterTracker)), "MapOutputTracker") + Props(new MapOutputTrackerMasterActor(masterTracker)), "MapOutputTracker") val (slaveSystem, _) = AkkaUtils.createActorSystem("spark-slave", hostname, 0) val slaveTracker = new MapOutputTracker() diff --git a/core/src/test/scala/org/apache/spark/scheduler/DAGSchedulerSuite.scala b/core/src/test/scala/org/apache/spark/scheduler/DAGSchedulerSuite.scala index 2a2f828be6..00f2fdd657 100644 --- a/core/src/test/scala/org/apache/spark/scheduler/DAGSchedulerSuite.scala +++ b/core/src/test/scala/org/apache/spark/scheduler/DAGSchedulerSuite.scala @@ -23,7 +23,7 @@ import org.scalatest.FunSuite import org.scalatest.BeforeAndAfter import org.apache.spark.LocalSparkContext -import org.apache.spark.MapOutputTracker +import org.apache.spark.MapOutputTrackerMaster import org.apache.spark.SparkContext import org.apache.spark.Partition import org.apache.spark.TaskContext @@ -64,7 +64,7 @@ class DAGSchedulerSuite extends FunSuite with BeforeAndAfter with LocalSparkCont override def defaultParallelism() = 2 } - var mapOutputTracker: MapOutputTracker = null + var mapOutputTracker: MapOutputTrackerMaster = null var scheduler: DAGScheduler = null /** @@ -99,7 +99,7 @@ class DAGSchedulerSuite extends FunSuite with BeforeAndAfter with LocalSparkCont taskSets.clear() cacheLocations.clear() results.clear() - mapOutputTracker = new MapOutputTracker() + mapOutputTracker = new MapOutputTrackerMaster() scheduler = new DAGScheduler(taskScheduler, mapOutputTracker, blockManagerMaster, null) { override def runLocally(job: ActiveJob) { // don't bother with the thread while unit testing |