spark BlockManager 源码
spark BlockManager 代码
文件路径：/core/src/main/scala/org/apache/spark/storage/BlockManager.scala
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* 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
*
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* See the License for the specific language governing permissions and
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package org.apache.spark.storage
import java.io._
import java.lang.ref.{ReferenceQueue => JReferenceQueue, WeakReference}
import java.nio.ByteBuffer
import java.nio.channels.Channels
import java.util.Collections
import java.util.concurrent.{CompletableFuture, ConcurrentHashMap, TimeUnit}
import scala.collection.JavaConverters._
import scala.collection.mutable
import scala.collection.mutable.HashMap
import scala.concurrent.{ExecutionContext, Future}
import scala.concurrent.duration._
import scala.reflect.ClassTag
import scala.util.{Failure, Random, Success, Try}
import scala.util.control.NonFatal
import com.codahale.metrics.{MetricRegistry, MetricSet}
import com.esotericsoftware.kryo.KryoException
import com.google.common.cache.CacheBuilder
import org.apache.commons.io.IOUtils
import org.apache.spark._
import org.apache.spark.errors.SparkCoreErrors
import org.apache.spark.executor.DataReadMethod
import org.apache.spark.internal.Logging
import org.apache.spark.internal.config
import org.apache.spark.internal.config.Network
import org.apache.spark.memory.{MemoryManager, MemoryMode}
import org.apache.spark.metrics.source.Source
import org.apache.spark.network._
import org.apache.spark.network.buffer.{FileSegmentManagedBuffer, ManagedBuffer}
import org.apache.spark.network.client.StreamCallbackWithID
import org.apache.spark.network.netty.SparkTransportConf
import org.apache.spark.network.shuffle._
import org.apache.spark.network.shuffle.checksum.{Cause, ShuffleChecksumHelper}
import org.apache.spark.network.shuffle.protocol.ExecutorShuffleInfo
import org.apache.spark.network.util.TransportConf
import org.apache.spark.rpc.RpcEnv
import org.apache.spark.scheduler.ExecutorCacheTaskLocation
import org.apache.spark.serializer.{SerializerInstance, SerializerManager}
import org.apache.spark.shuffle.{IndexShuffleBlockResolver, MigratableResolver, ShuffleManager, ShuffleWriteMetricsReporter}
import org.apache.spark.storage.BlockManagerMessages.{DecommissionBlockManager, ReplicateBlock}
import org.apache.spark.storage.memory._
import org.apache.spark.unsafe.Platform
import org.apache.spark.util._
import org.apache.spark.util.io.ChunkedByteBuffer
/* Class for returning a fetched block and associated metrics. */
private[spark] class BlockResult(
val data: Iterator[Any],
val readMethod: DataReadMethod.Value,
val bytes: Long)
/**
* Abstracts away how blocks are stored and provides different ways to read the underlying block
* data. Callers should call [[dispose()]] when they're done with the block.
*/
private[spark] trait BlockData {
def toInputStream(): InputStream
/**
* Returns a Netty-friendly wrapper for the block's data.
*
* Please see `ManagedBuffer.convertToNetty()` for more details.
*/
def toNetty(): Object
def toChunkedByteBuffer(allocator: Int => ByteBuffer): ChunkedByteBuffer
def toByteBuffer(): ByteBuffer
def size: Long
def dispose(): Unit
}
private[spark] class ByteBufferBlockData(
val buffer: ChunkedByteBuffer,
val shouldDispose: Boolean) extends BlockData {
override def toInputStream(): InputStream = buffer.toInputStream(dispose = false)
override def toNetty(): Object = buffer.toNetty
override def toChunkedByteBuffer(allocator: Int => ByteBuffer): ChunkedByteBuffer = {
buffer.copy(allocator)
}
override def toByteBuffer(): ByteBuffer = buffer.toByteBuffer
override def size: Long = buffer.size
override def dispose(): Unit = {
if (shouldDispose) {
buffer.dispose()
}
}
}
private[spark] class HostLocalDirManager(
futureExecutionContext: ExecutionContext,
cacheSize: Int,
blockStoreClient: BlockStoreClient) extends Logging {
private val executorIdToLocalDirsCache =
CacheBuilder
.newBuilder()
.maximumSize(cacheSize)
.build[String, Array[String]]()
private[spark] def getCachedHostLocalDirs: Map[String, Array[String]] =
executorIdToLocalDirsCache.synchronized {
executorIdToLocalDirsCache.asMap().asScala.toMap
}
private[spark] def getCachedHostLocalDirsFor(executorId: String): Option[Array[String]] =
executorIdToLocalDirsCache.synchronized {
Option(executorIdToLocalDirsCache.getIfPresent(executorId))
}
private[spark] def getHostLocalDirs(
host: String,
port: Int,
executorIds: Array[String])(
callback: Try[Map[String, Array[String]]] => Unit): Unit = {
val hostLocalDirsCompletable = new CompletableFuture[java.util.Map[String, Array[String]]]
blockStoreClient.getHostLocalDirs(
host,
port,
executorIds,
hostLocalDirsCompletable)
hostLocalDirsCompletable.whenComplete { (hostLocalDirs, throwable) =>
if (hostLocalDirs != null) {
callback(Success(hostLocalDirs.asScala.toMap))
executorIdToLocalDirsCache.synchronized {
executorIdToLocalDirsCache.putAll(hostLocalDirs)
}
} else {
callback(Failure(throwable))
}
}
}
}
/**
* Manager running on every node (driver and executors) which provides interfaces for putting and
* retrieving blocks both locally and remotely into various stores (memory, disk, and off-heap).
*
* Note that [[initialize()]] must be called before the BlockManager is usable.
*/
private[spark] class BlockManager(
val executorId: String,
rpcEnv: RpcEnv,
val master: BlockManagerMaster,
val serializerManager: SerializerManager,
val conf: SparkConf,
memoryManager: MemoryManager,
mapOutputTracker: MapOutputTracker,
shuffleManager: ShuffleManager,
val blockTransferService: BlockTransferService,
securityManager: SecurityManager,
externalBlockStoreClient: Option[ExternalBlockStoreClient])
extends BlockDataManager with BlockEvictionHandler with Logging {
// same as `conf.get(config.SHUFFLE_SERVICE_ENABLED)`
private[spark] val externalShuffleServiceEnabled: Boolean = externalBlockStoreClient.isDefined
private val isDriver = executorId == SparkContext.DRIVER_IDENTIFIER
private val remoteReadNioBufferConversion =
conf.get(Network.NETWORK_REMOTE_READ_NIO_BUFFER_CONVERSION)
private[spark] val subDirsPerLocalDir = conf.get(config.DISKSTORE_SUB_DIRECTORIES)
val diskBlockManager = {
// Only perform cleanup if an external service is not serving our shuffle files.
val deleteFilesOnStop =
!externalShuffleServiceEnabled || isDriver
new DiskBlockManager(conf, deleteFilesOnStop = deleteFilesOnStop, isDriver = isDriver)
}
// Visible for testing
private[storage] val blockInfoManager = new BlockInfoManager
private val futureExecutionContext = ExecutionContext.fromExecutorService(
ThreadUtils.newDaemonCachedThreadPool("block-manager-future", 128))
// Actual storage of where blocks are kept
private[spark] val memoryStore =
new MemoryStore(conf, blockInfoManager, serializerManager, memoryManager, this)
private[spark] val diskStore = new DiskStore(conf, diskBlockManager, securityManager)
memoryManager.setMemoryStore(memoryStore)
// Note: depending on the memory manager, `maxMemory` may actually vary over time.
// However, since we use this only for reporting and logging, what we actually want here is
// the absolute maximum value that `maxMemory` can ever possibly reach. We may need
// to revisit whether reporting this value as the "max" is intuitive to the user.
private val maxOnHeapMemory = memoryManager.maxOnHeapStorageMemory
private val maxOffHeapMemory = memoryManager.maxOffHeapStorageMemory
private[spark] val externalShuffleServicePort = StorageUtils.externalShuffleServicePort(conf)
var blockManagerId: BlockManagerId = _
// Address of the server that serves this executor's shuffle files. This is either an external
// service, or just our own Executor's BlockManager.
private[spark] var shuffleServerId: BlockManagerId = _
// Client to read other executors' blocks. This is either an external service, or just the
// standard BlockTransferService to directly connect to other Executors.
private[spark] val blockStoreClient = externalBlockStoreClient.getOrElse(blockTransferService)
// Max number of failures before this block manager refreshes the block locations from the driver
private val maxFailuresBeforeLocationRefresh =
conf.get(config.BLOCK_FAILURES_BEFORE_LOCATION_REFRESH)
private val storageEndpoint = rpcEnv.setupEndpoint(
"BlockManagerEndpoint" + BlockManager.ID_GENERATOR.next,
new BlockManagerStorageEndpoint(rpcEnv, this, mapOutputTracker))
// Pending re-registration action being executed asynchronously or null if none is pending.
// Accesses should synchronize on asyncReregisterLock.
private var asyncReregisterTask: Future[Unit] = null
private val asyncReregisterLock = new Object
// Field related to peer block managers that are necessary for block replication
@volatile private var cachedPeers: Seq[BlockManagerId] = _
private val peerFetchLock = new Object
private var lastPeerFetchTimeNs = 0L
private var blockReplicationPolicy: BlockReplicationPolicy = _
// visible for test
// This is volatile since if it's defined we should not accept remote blocks.
@volatile private[spark] var decommissioner: Option[BlockManagerDecommissioner] = None
// A DownloadFileManager used to track all the files of remote blocks which are above the
// specified memory threshold. Files will be deleted automatically based on weak reference.
// Exposed for test
private[storage] val remoteBlockTempFileManager =
new BlockManager.RemoteBlockDownloadFileManager(
this,
securityManager.getIOEncryptionKey())
private val maxRemoteBlockToMem = conf.get(config.MAX_REMOTE_BLOCK_SIZE_FETCH_TO_MEM)
var hostLocalDirManager: Option[HostLocalDirManager] = None
@inline final private def isDecommissioning() = {
decommissioner.isDefined
}
@inline final private def checkShouldStore(blockId: BlockId) = {
// Don't reject broadcast blocks since they may be stored during task exec and
// don't need to be migrated.
if (isDecommissioning() && !blockId.isBroadcast) {
throw SparkCoreErrors.cannotSaveBlockOnDecommissionedExecutorError(blockId)
}
}
// This is a lazy val so someone can migrating RDDs even if they don't have a MigratableResolver
// for shuffles. Used in BlockManagerDecommissioner & block puts.
private[storage] lazy val migratableResolver: MigratableResolver = {
shuffleManager.shuffleBlockResolver.asInstanceOf[MigratableResolver]
}
override def getLocalDiskDirs: Array[String] = diskBlockManager.localDirsString
/**
* Diagnose the possible cause of the shuffle data corruption by verifying the shuffle checksums
*
* @param blockId The blockId of the corrupted shuffle block
* @param checksumByReader The checksum value of the corrupted block
* @param algorithm The cheksum algorithm that is used when calculating the checksum value
*/
override def diagnoseShuffleBlockCorruption(
blockId: BlockId,
checksumByReader: Long,
algorithm: String): Cause = {
assert(blockId.isInstanceOf[ShuffleBlockId],
s"Corruption diagnosis only supports shuffle block yet, but got $blockId")
val shuffleBlock = blockId.asInstanceOf[ShuffleBlockId]
val resolver = shuffleManager.shuffleBlockResolver.asInstanceOf[IndexShuffleBlockResolver]
val checksumFile =
resolver.getChecksumFile(shuffleBlock.shuffleId, shuffleBlock.mapId, algorithm)
val reduceId = shuffleBlock.reduceId
ShuffleChecksumHelper.diagnoseCorruption(
algorithm, checksumFile, reduceId, resolver.getBlockData(shuffleBlock), checksumByReader)
}
/**
* Abstraction for storing blocks from bytes, whether they start in memory or on disk.
*
* @param blockSize the decrypted size of the block
*/
private[spark] abstract class BlockStoreUpdater[T](
blockSize: Long,
blockId: BlockId,
level: StorageLevel,
classTag: ClassTag[T],
tellMaster: Boolean,
keepReadLock: Boolean) {
/**
* Reads the block content into the memory. If the update of the block store is based on a
* temporary file this could lead to loading the whole file into a ChunkedByteBuffer.
*/
protected def readToByteBuffer(): ChunkedByteBuffer
protected def blockData(): BlockData
protected def saveToDiskStore(): Unit
private def saveDeserializedValuesToMemoryStore(inputStream: InputStream): Boolean = {
try {
val values = serializerManager.dataDeserializeStream(blockId, inputStream)(classTag)
memoryStore.putIteratorAsValues(blockId, values, level.memoryMode, classTag) match {
case Right(_) => true
case Left(iter) =>
// If putting deserialized values in memory failed, we will put the bytes directly
// to disk, so we don't need this iterator and can close it to free resources
// earlier.
iter.close()
false
}
} catch {
case ex: KryoException if ex.getCause.isInstanceOf[IOException] =>
logInfo(extendMessageWithBlockDetails(ex.getMessage, blockId))
throw ex
} finally {
IOUtils.closeQuietly(inputStream)
}
}
private def saveSerializedValuesToMemoryStore(bytes: ChunkedByteBuffer): Boolean = {
val memoryMode = level.memoryMode
memoryStore.putBytes(blockId, blockSize, memoryMode, () => {
if (memoryMode == MemoryMode.OFF_HEAP && bytes.chunks.exists(!_.isDirect)) {
bytes.copy(Platform.allocateDirectBuffer)
} else {
bytes
}
})
}
/**
* Put the given data according to the given level in one of the block stores, replicating
* the values if necessary.
*
* If the block already exists, this method will not overwrite it.
*
* If keepReadLock is true, this method will hold the read lock when it returns (even if the
* block already exists). If false, this method will hold no locks when it returns.
*
* @return true if the block was already present or if the put succeeded, false otherwise.
*/
def save(): Boolean = {
doPut(blockId, level, classTag, tellMaster, keepReadLock) { info =>
val startTimeNs = System.nanoTime()
// Since we're storing bytes, initiate the replication before storing them locally.
// This is faster as data is already serialized and ready to send.
val replicationFuture = if (level.replication > 1) {
Future {
// This is a blocking action and should run in futureExecutionContext which is a cached
// thread pool.
replicate(blockId, blockData(), level, classTag)
}(futureExecutionContext)
} else {
null
}
if (level.useMemory) {
// Put it in memory first, even if it also has useDisk set to true;
// We will drop it to disk later if the memory store can't hold it.
val putSucceeded = if (level.deserialized) {
saveDeserializedValuesToMemoryStore(blockData().toInputStream())
} else {
saveSerializedValuesToMemoryStore(readToByteBuffer())
}
if (!putSucceeded && level.useDisk) {
logWarning(s"Persisting block $blockId to disk instead.")
saveToDiskStore()
}
} else if (level.useDisk) {
saveToDiskStore()
}
val putBlockStatus = getCurrentBlockStatus(blockId, info)
val blockWasSuccessfullyStored = putBlockStatus.storageLevel.isValid
if (blockWasSuccessfullyStored) {
// Now that the block is in either the memory or disk store,
// tell the master about it.
info.size = blockSize
if (tellMaster && info.tellMaster) {
reportBlockStatus(blockId, putBlockStatus)
}
addUpdatedBlockStatusToTaskMetrics(blockId, putBlockStatus)
}
logDebug(s"Put block ${blockId} locally took ${Utils.getUsedTimeNs(startTimeNs)}")
if (level.replication > 1) {
// Wait for asynchronous replication to finish
try {
ThreadUtils.awaitReady(replicationFuture, Duration.Inf)
} catch {
case NonFatal(t) => throw SparkCoreErrors.waitingForReplicationToFinishError(t)
}
}
if (blockWasSuccessfullyStored) {
None
} else {
Some(blockSize)
}
}.isEmpty
}
}
/**
* Helper for storing a block from bytes already in memory.
* '''Important!''' Callers must not mutate or release the data buffer underlying `bytes`. Doing
* so may corrupt or change the data stored by the `BlockManager`.
*/
private case class ByteBufferBlockStoreUpdater[T](
blockId: BlockId,
level: StorageLevel,
classTag: ClassTag[T],
bytes: ChunkedByteBuffer,
tellMaster: Boolean = true,
keepReadLock: Boolean = false)
extends BlockStoreUpdater[T](bytes.size, blockId, level, classTag, tellMaster, keepReadLock) {
override def readToByteBuffer(): ChunkedByteBuffer = bytes
/**
* The ByteBufferBlockData wrapper is not disposed of to avoid releasing buffers that are
* owned by the caller.
*/
override def blockData(): BlockData = new ByteBufferBlockData(bytes, false)
override def saveToDiskStore(): Unit = diskStore.putBytes(blockId, bytes)
}
/**
* Helper for storing a block based from bytes already in a local temp file.
*/
private[spark] case class TempFileBasedBlockStoreUpdater[T](
blockId: BlockId,
level: StorageLevel,
classTag: ClassTag[T],
tmpFile: File,
blockSize: Long,
tellMaster: Boolean = true,
keepReadLock: Boolean = false)
extends BlockStoreUpdater[T](blockSize, blockId, level, classTag, tellMaster, keepReadLock) {
override def readToByteBuffer(): ChunkedByteBuffer = {
val allocator = level.memoryMode match {
case MemoryMode.ON_HEAP => ByteBuffer.allocate _
case MemoryMode.OFF_HEAP => Platform.allocateDirectBuffer _
}
blockData().toChunkedByteBuffer(allocator)
}
override def blockData(): BlockData = diskStore.getBytes(tmpFile, blockSize)
override def saveToDiskStore(): Unit = diskStore.moveFileToBlock(tmpFile, blockSize, blockId)
override def save(): Boolean = {
val res = super.save()
tmpFile.delete()
res
}
}
/**
* Initializes the BlockManager with the given appId. This is not performed in the constructor as
* the appId may not be known at BlockManager instantiation time (in particular for the driver,
* where it is only learned after registration with the TaskScheduler).
*
* This method initializes the BlockTransferService and BlockStoreClient, registers with the
* BlockManagerMaster, starts the BlockManagerWorker endpoint, and registers with a local shuffle
* service if configured.
*/
def initialize(appId: String): Unit = {
blockTransferService.init(this)
externalBlockStoreClient.foreach { blockStoreClient =>
blockStoreClient.init(appId)
}
blockReplicationPolicy = {
val priorityClass = conf.get(config.STORAGE_REPLICATION_POLICY)
val clazz = Utils.classForName(priorityClass)
val ret = clazz.getConstructor().newInstance().asInstanceOf[BlockReplicationPolicy]
logInfo(s"Using $priorityClass for block replication policy")
ret
}
// Register Executors' configuration with the local shuffle service, if one should exist.
// Registration with the ESS should happen before registering the block manager with the
// BlockManagerMaster. In push-based shuffle, the registered BM is selected by the driver
// as a merger. However, for the ESS on this host to be able to merge blocks successfully,
// it needs the merge directories metadata which is provided by the local executor during
// the registration with the ESS. Therefore, this registration should be prior to
// the BlockManager registration. See SPARK-39647.
if (externalShuffleServiceEnabled) {
logInfo(s"external shuffle service port = $externalShuffleServicePort")
shuffleServerId = BlockManagerId(executorId, blockTransferService.hostName,
externalShuffleServicePort)
if (!isDriver) {
registerWithExternalShuffleServer()
}
}
val id =
BlockManagerId(executorId, blockTransferService.hostName, blockTransferService.port, None)
// The idFromMaster has just additional topology information. Otherwise, it has the same
// executor id/host/port of idWithoutTopologyInfo which is not expected to be changed.
val idFromMaster = master.registerBlockManager(
id,
diskBlockManager.localDirsString,
maxOnHeapMemory,
maxOffHeapMemory,
storageEndpoint)
blockManagerId = if (idFromMaster != null) idFromMaster else id
if (!externalShuffleServiceEnabled) {
shuffleServerId = blockManagerId
}
hostLocalDirManager = {
if ((conf.get(config.SHUFFLE_HOST_LOCAL_DISK_READING_ENABLED) &&
!conf.get(config.SHUFFLE_USE_OLD_FETCH_PROTOCOL)) ||
Utils.isPushBasedShuffleEnabled(conf, isDriver)) {
Some(new HostLocalDirManager(
futureExecutionContext,
conf.get(config.STORAGE_LOCAL_DISK_BY_EXECUTORS_CACHE_SIZE),
blockStoreClient))
} else {
None
}
}
logInfo(s"Initialized BlockManager: $blockManagerId")
}
def shuffleMetricsSource: Source = {
import BlockManager._
if (externalShuffleServiceEnabled) {
new ShuffleMetricsSource("ExternalShuffle", blockStoreClient.shuffleMetrics())
} else {
new ShuffleMetricsSource("NettyBlockTransfer", blockStoreClient.shuffleMetrics())
}
}
private def registerWithExternalShuffleServer(): Unit = {
logInfo("Registering executor with local external shuffle service.")
val shuffleManagerMeta =
if (Utils.isPushBasedShuffleEnabled(conf, isDriver = isDriver, checkSerializer = false)) {
s"${shuffleManager.getClass.getName}:" +
s"${diskBlockManager.getMergeDirectoryAndAttemptIDJsonString()}}}"
} else {
shuffleManager.getClass.getName
}
val shuffleConfig = new ExecutorShuffleInfo(
diskBlockManager.localDirsString,
diskBlockManager.subDirsPerLocalDir,
shuffleManagerMeta)
val MAX_ATTEMPTS = conf.get(config.SHUFFLE_REGISTRATION_MAX_ATTEMPTS)
val SLEEP_TIME_SECS = 5
for (i <- 1 to MAX_ATTEMPTS) {
try {
// Synchronous and will throw an exception if we cannot connect.
blockStoreClient.asInstanceOf[ExternalBlockStoreClient].registerWithShuffleServer(
shuffleServerId.host, shuffleServerId.port, shuffleServerId.executorId, shuffleConfig)
return
} catch {
case e: Exception if i < MAX_ATTEMPTS =>
logError(s"Failed to connect to external shuffle server, will retry ${MAX_ATTEMPTS - i}"
+ s" more times after waiting $SLEEP_TIME_SECS seconds...", e)
Thread.sleep(SLEEP_TIME_SECS * 1000L)
case NonFatal(e) => throw SparkCoreErrors.unableToRegisterWithExternalShuffleServerError(e)
}
}
}
/**
* Report all blocks to the BlockManager again. This may be necessary if we are dropped
* by the BlockManager and come back or if we become capable of recovering blocks on disk after
* an executor crash.
*
* This function deliberately fails silently if the master returns false (indicating that
* the storage endpoint needs to re-register). The error condition will be detected again by the
* next heart beat attempt or new block registration and another try to re-register all blocks
* will be made then.
*/
private def reportAllBlocks(): Unit = {
logInfo(s"Reporting ${blockInfoManager.size} blocks to the master.")
for ((blockId, info) <- blockInfoManager.entries) {
val status = getCurrentBlockStatus(blockId, info)
if (info.tellMaster && !tryToReportBlockStatus(blockId, status)) {
logError(s"Failed to report $blockId to master; giving up.")
return
}
}
}
/**
* Re-register with the master and report all blocks to it. This will be called by the heart beat
* thread if our heartbeat to the block manager indicates that we were not registered.
*
* Note that this method must be called without any BlockInfo locks held.
*/
def reregister(): Unit = {
// TODO: We might need to rate limit re-registering.
logInfo(s"BlockManager $blockManagerId re-registering with master")
master.registerBlockManager(blockManagerId, diskBlockManager.localDirsString, maxOnHeapMemory,
maxOffHeapMemory, storageEndpoint)
reportAllBlocks()
}
/**
* Re-register with the master sometime soon.
*/
private def asyncReregister(): Unit = {
asyncReregisterLock.synchronized {
if (asyncReregisterTask == null) {
asyncReregisterTask = Future[Unit] {
// This is a blocking action and should run in futureExecutionContext which is a cached
// thread pool
reregister()
asyncReregisterLock.synchronized {
asyncReregisterTask = null
}
}(futureExecutionContext)
}
}
}
/**
* For testing. Wait for any pending asynchronous re-registration; otherwise, do nothing.
*/
def waitForAsyncReregister(): Unit = {
val task = asyncReregisterTask
if (task != null) {
try {
ThreadUtils.awaitReady(task, Duration.Inf)
} catch {
case NonFatal(t) =>
throw SparkCoreErrors.waitingForAsyncReregistrationError(t)
}
}
}
override def getHostLocalShuffleData(
blockId: BlockId,
dirs: Array[String]): ManagedBuffer = {
shuffleManager.shuffleBlockResolver.getBlockData(blockId, Some(dirs))
}
/**
* Interface to get local block data. Throws an exception if the block cannot be found or
* cannot be read successfully.
*/
override def getLocalBlockData(blockId: BlockId): ManagedBuffer = {
if (blockId.isShuffle) {
logDebug(s"Getting local shuffle block ${blockId}")
try {
shuffleManager.shuffleBlockResolver.getBlockData(blockId)
} catch {
case e: IOException =>
if (conf.get(config.STORAGE_DECOMMISSION_FALLBACK_STORAGE_PATH).isDefined) {
FallbackStorage.read(conf, blockId)
} else {
throw e
}
}
} else {
getLocalBytes(blockId) match {
case Some(blockData) =>
new BlockManagerManagedBuffer(blockInfoManager, blockId, blockData, true)
case None =>
// If this block manager receives a request for a block that it doesn't have then it's
// likely that the master has outdated block statuses for this block. Therefore, we send
// an RPC so that this block is marked as being unavailable from this block manager.
reportBlockStatus(blockId, BlockStatus.empty)
throw SparkCoreErrors.blockNotFoundError(blockId)
}
}
}
/**
* Put the block locally, using the given storage level.
*
* '''Important!''' Callers must not mutate or release the data buffer underlying `bytes`. Doing
* so may corrupt or change the data stored by the `BlockManager`.
*/
override def putBlockData(
blockId: BlockId,
data: ManagedBuffer,
level: StorageLevel,
classTag: ClassTag[_]): Boolean = {
putBytes(blockId, new ChunkedByteBuffer(data.nioByteBuffer()), level)(classTag)
}
override def putBlockDataAsStream(
blockId: BlockId,
level: StorageLevel,
classTag: ClassTag[_]): StreamCallbackWithID = {
checkShouldStore(blockId)
if (blockId.isShuffle) {
logDebug(s"Putting shuffle block ${blockId}")
try {
return migratableResolver.putShuffleBlockAsStream(blockId, serializerManager)
} catch {
case e: ClassCastException =>
throw SparkCoreErrors.unexpectedShuffleBlockWithUnsupportedResolverError(shuffleManager,
blockId)
}
}
logDebug(s"Putting regular block ${blockId}")
// All other blocks
val (_, tmpFile) = diskBlockManager.createTempLocalBlock()
val channel = new CountingWritableChannel(
Channels.newChannel(serializerManager.wrapForEncryption(new FileOutputStream(tmpFile))))
logTrace(s"Streaming block $blockId to tmp file $tmpFile")
new StreamCallbackWithID {
override def getID: String = blockId.name
override def onData(streamId: String, buf: ByteBuffer): Unit = {
while (buf.hasRemaining) {
channel.write(buf)
}
}
override def onComplete(streamId: String): Unit = {
logTrace(s"Done receiving block $blockId, now putting into local blockManager")
// Note this is all happening inside the netty thread as soon as it reads the end of the
// stream.
channel.close()
val blockSize = channel.getCount
val blockStored = TempFileBasedBlockStoreUpdater(
blockId, level, classTag, tmpFile, blockSize).save()
if (!blockStored) {
throw SparkCoreErrors.failToStoreBlockOnBlockManagerError(blockManagerId, blockId)
}
}
override def onFailure(streamId: String, cause: Throwable): Unit = {
// the framework handles the connection itself, we just need to do local cleanup
channel.close()
tmpFile.delete()
}
}
}
/**
* Get the local merged shuffle block data for the given block ID as multiple chunks.
* A merged shuffle file is divided into multiple chunks according to the index file.
* Instead of reading the entire file as a single block, we split it into smaller chunks
* which will be memory efficient when performing certain operations.
*/
def getLocalMergedBlockData(
blockId: ShuffleMergedBlockId,
dirs: Array[String]): Seq[ManagedBuffer] = {
shuffleManager.shuffleBlockResolver.getMergedBlockData(blockId, Some(dirs))
}
/**
* Get the local merged shuffle block meta data for the given block ID.
*/
def getLocalMergedBlockMeta(
blockId: ShuffleMergedBlockId,
dirs: Array[String]): MergedBlockMeta = {
shuffleManager.shuffleBlockResolver.getMergedBlockMeta(blockId, Some(dirs))
}
/**
* Get the BlockStatus for the block identified by the given ID, if it exists.
* NOTE: This is mainly for testing.
*/
def getStatus(blockId: BlockId): Option[BlockStatus] = {
blockInfoManager.get(blockId).map { info =>
val memSize = if (memoryStore.contains(blockId)) memoryStore.getSize(blockId) else 0L
val diskSize = if (diskStore.contains(blockId)) diskStore.getSize(blockId) else 0L
BlockStatus(info.level, memSize = memSize, diskSize = diskSize)
}
}
/**
* Get the ids of existing blocks that match the given filter. Note that this will
* query the blocks stored in the disk block manager (that the block manager
* may not know of).
*/
def getMatchingBlockIds(filter: BlockId => Boolean): Seq[BlockId] = {
// The `toArray` is necessary here in order to force the list to be materialized so that we
// don't try to serialize a lazy iterator when responding to client requests.
(blockInfoManager.entries.map(_._1) ++ diskBlockManager.getAllBlocks())
.filter(filter)
.toArray
.toSeq
}
/**
* Tell the master about the current storage status of a block. This will send a block update
* message reflecting the current status, *not* the desired storage level in its block info.
* For example, a block with MEMORY_AND_DISK set might have fallen out to be only on disk.
*
* droppedMemorySize exists to account for when the block is dropped from memory to disk (so
* it is still valid). This ensures that update in master will compensate for the increase in
* memory on the storage endpoint.
*/
private[spark] def reportBlockStatus(
blockId: BlockId,
status: BlockStatus,
droppedMemorySize: Long = 0L): Unit = {
val needReregister = !tryToReportBlockStatus(blockId, status, droppedMemorySize)
if (needReregister) {
logInfo(s"Got told to re-register updating block $blockId")
// Re-registering will report our new block for free.
asyncReregister()
}
logDebug(s"Told master about block $blockId")
}
/**
* Actually send a UpdateBlockInfo message. Returns the master's response,
* which will be true if the block was successfully recorded and false if
* the storage endpoint needs to re-register.
*/
private def tryToReportBlockStatus(
blockId: BlockId,
status: BlockStatus,
droppedMemorySize: Long = 0L): Boolean = {
val storageLevel = status.storageLevel
val inMemSize = Math.max(status.memSize, droppedMemorySize)
val onDiskSize = status.diskSize
master.updateBlockInfo(blockManagerId, blockId, storageLevel, inMemSize, onDiskSize)
}
/**
* Return the updated storage status of the block with the given ID. More specifically, if
* the block is dropped from memory and possibly added to disk, return the new storage level
* and the updated in-memory and on-disk sizes.
*/
private def getCurrentBlockStatus(blockId: BlockId, info: BlockInfo): BlockStatus = {
info.synchronized {
info.level match {
case null =>
BlockStatus.empty
case level =>
val inMem = level.useMemory && memoryStore.contains(blockId)
val onDisk = level.useDisk && diskStore.contains(blockId)
val deserialized = if (inMem) level.deserialized else false
val replication = if (inMem || onDisk) level.replication else 1
val storageLevel = StorageLevel(
useDisk = onDisk,
useMemory = inMem,
useOffHeap = level.useOffHeap,
deserialized = deserialized,
replication = replication)
val memSize = if (inMem) memoryStore.getSize(blockId) else 0L
val diskSize = if (onDisk) diskStore.getSize(blockId) else 0L
BlockStatus(storageLevel, memSize, diskSize)
}
}
}
/**
* Get locations of an array of blocks.
*/
private def getLocationBlockIds(blockIds: Array[BlockId]): Array[Seq[BlockManagerId]] = {
val startTimeNs = System.nanoTime()
val locations = master.getLocations(blockIds).toArray
logDebug(s"Got multiple block location in ${Utils.getUsedTimeNs(startTimeNs)}")
locations
}
/**
* Cleanup code run in response to a failed local read.
* Must be called while holding a read lock on the block.
*/
private def handleLocalReadFailure(blockId: BlockId): Nothing = {
releaseLock(blockId)
// Remove the missing block so that its unavailability is reported to the driver
removeBlock(blockId)
throw SparkCoreErrors.readLockedBlockNotFoundError(blockId)
}
private def isIORelatedException(t: Throwable): Boolean =
t.isInstanceOf[IOException] ||
(t.isInstanceOf[KryoException] && t.getCause.isInstanceOf[IOException])
/**
* Get block from local block manager as an iterator of Java objects.
*/
def getLocalValues(blockId: BlockId): Option[BlockResult] = {
logDebug(s"Getting local block $blockId")
blockInfoManager.lockForReading(blockId) match {
case None =>
logDebug(s"Block $blockId was not found")
None
case Some(info) =>
val level = info.level
logDebug(s"Level for block $blockId is $level")
val taskContext = Option(TaskContext.get())
if (level.useMemory && memoryStore.contains(blockId)) {
val iter: Iterator[Any] = if (level.deserialized) {
memoryStore.getValues(blockId).get
} else {
serializerManager.dataDeserializeStream(
blockId, memoryStore.getBytes(blockId).get.toInputStream())(info.classTag)
}
// We need to capture the current taskId in case the iterator completion is triggered
// from a different thread which does not have TaskContext set; see SPARK-18406 for
// discussion.
val ci = CompletionIterator[Any, Iterator[Any]](iter, {
releaseLock(blockId, taskContext)
})
Some(new BlockResult(ci, DataReadMethod.Memory, info.size))
} else if (level.useDisk && diskStore.contains(blockId)) {
var diskData: BlockData = null
try {
diskData = diskStore.getBytes(blockId)
val iterToReturn = if (level.deserialized) {
val diskValues = serializerManager.dataDeserializeStream(
blockId,
diskData.toInputStream())(info.classTag)
maybeCacheDiskValuesInMemory(info, blockId, level, diskValues)
} else {
val stream = maybeCacheDiskBytesInMemory(info, blockId, level, diskData)
.map { _.toInputStream(dispose = false) }
.getOrElse { diskData.toInputStream() }
serializerManager.dataDeserializeStream(blockId, stream)(info.classTag)
}
val ci = CompletionIterator[Any, Iterator[Any]](iterToReturn, {
releaseLockAndDispose(blockId, diskData, taskContext)
})
Some(new BlockResult(ci, DataReadMethod.Disk, info.size))
} catch {
case t: Throwable =>
if (diskData != null) {
diskData.dispose()
diskData = null
}
releaseLock(blockId, taskContext)
if (isIORelatedException(t)) {
logInfo(extendMessageWithBlockDetails(t.getMessage, blockId))
// Remove the block so that its unavailability is reported to the driver
removeBlock(blockId)
}
throw t
}
} else {
handleLocalReadFailure(blockId)
}
}
}
/**
* We need to have detailed log message to catch environmental problems easily.
* Further details: https://issues.apache.org/jira/browse/SPARK-37710
*/
private def extendMessageWithBlockDetails(msg: String, blockId: BlockId): String = {
val message: String = "%s. %s - blockId: %s".format(msg, blockManagerId.toString, blockId)
val file = diskBlockManager.getFile(blockId)
if (file.exists()) {
"%s - blockDiskPath: %s".format(message, file.getAbsolutePath)
} else {
message
}
}
/**
* Get block from the local block manager as serialized bytes.
*/
def getLocalBytes(blockId: BlockId): Option[BlockData] = {
logDebug(s"Getting local block $blockId as bytes")
assert(!blockId.isShuffle, s"Unexpected ShuffleBlockId $blockId")
blockInfoManager.lockForReading(blockId).map { info => doGetLocalBytes(blockId, info) }
}
/**
* Get block from the local block manager as serialized bytes.
*
* Must be called while holding a read lock on the block.
* Releases the read lock upon exception; keeps the read lock upon successful return.
*/
private def doGetLocalBytes(blockId: BlockId, info: BlockInfo): BlockData = {
val level = info.level
logDebug(s"Level for block $blockId is $level")
// In order, try to read the serialized bytes from memory, then from disk, then fall back to
// serializing in-memory objects, and, finally, throw an exception if the block does not exist.
if (level.deserialized) {
// Try to avoid expensive serialization by reading a pre-serialized copy from disk:
if (level.useDisk && diskStore.contains(blockId)) {
// Note: we purposely do not try to put the block back into memory here. Since this branch
// handles deserialized blocks, this block may only be cached in memory as objects, not
// serialized bytes. Because the caller only requested bytes, it doesn't make sense to
// cache the block's deserialized objects since that caching may not have a payoff.
diskStore.getBytes(blockId)
} else if (level.useMemory && memoryStore.contains(blockId)) {
// The block was not found on disk, so serialize an in-memory copy:
new ByteBufferBlockData(serializerManager.dataSerializeWithExplicitClassTag(
blockId, memoryStore.getValues(blockId).get, info.classTag), true)
} else {
handleLocalReadFailure(blockId)
}
} else { // storage level is serialized
if (level.useMemory && memoryStore.contains(blockId)) {
new ByteBufferBlockData(memoryStore.getBytes(blockId).get, false)
} else if (level.useDisk && diskStore.contains(blockId)) {
val diskData = diskStore.getBytes(blockId)
maybeCacheDiskBytesInMemory(info, blockId, level, diskData)
.map(new ByteBufferBlockData(_, false))
.getOrElse(diskData)
} else {
handleLocalReadFailure(blockId)
}
}
}
/**
* Get block from remote block managers.
*
* This does not acquire a lock on this block in this JVM.
*/
private[spark] def getRemoteValues[T: ClassTag](blockId: BlockId): Option[BlockResult] = {
val ct = implicitly[ClassTag[T]]
getRemoteBlock(blockId, (data: ManagedBuffer) => {
val values =
serializerManager.dataDeserializeStream(blockId, data.createInputStream())(ct)
new BlockResult(values, DataReadMethod.Network, data.size)
})
}
/**
* Get the remote block and transform it to the provided data type.
*
* If the block is persisted to the disk and stored at an executor running on the same host then
* first it is tried to be accessed using the local directories of the other executor directly.
* If the file is successfully identified then tried to be transformed by the provided
* transformation function which expected to open the file. If there is any exception during this
* transformation then block access falls back to fetching it from the remote executor via the
* network.
*
* @param blockId identifies the block to get
* @param bufferTransformer this transformer expected to open the file if the block is backed by a
* file by this it is guaranteed the whole content can be loaded
* @tparam T result type
*/
private[spark] def getRemoteBlock[T](
blockId: BlockId,
bufferTransformer: ManagedBuffer => T): Option[T] = {
logDebug(s"Getting remote block $blockId")
require(blockId != null, "BlockId is null")
// Because all the remote blocks are registered in driver, it is not necessary to ask
// all the storage endpoints to get block status.
val locationsAndStatusOption = master.getLocationsAndStatus(blockId, blockManagerId.host)
if (locationsAndStatusOption.isEmpty) {
logDebug(s"Block $blockId is unknown by block manager master")
None
} else {
val locationsAndStatus = locationsAndStatusOption.get
val blockSize = locationsAndStatus.status.diskSize.max(locationsAndStatus.status.memSize)
locationsAndStatus.localDirs.flatMap { localDirs =>
val blockDataOption =
readDiskBlockFromSameHostExecutor(blockId, localDirs, locationsAndStatus.status.diskSize)
val res = blockDataOption.flatMap { blockData =>
try {
Some(bufferTransformer(blockData))
} catch {
case NonFatal(e) =>
logDebug("Block from the same host executor cannot be opened: ", e)
None
}
}
logInfo(s"Read $blockId from the disk of a same host executor is " +
(if (res.isDefined) "successful." else "failed."))
res
}.orElse {
fetchRemoteManagedBuffer(blockId, blockSize, locationsAndStatus).map(bufferTransformer)
}
}
}
private def preferExecutors(locations: Seq[BlockManagerId]): Seq[BlockManagerId] = {
val (executors, shuffleServers) = locations.partition(_.port != externalShuffleServicePort)
executors ++ shuffleServers
}
/**
* Return a list of locations for the given block, prioritizing the local machine since
* multiple block managers can share the same host, followed by hosts on the same rack.
*
* Within each of the above listed groups (same host, same rack and others) executors are
* preferred over the external shuffle service.
*/
private[spark] def sortLocations(locations: Seq[BlockManagerId]): Seq[BlockManagerId] = {
val locs = Random.shuffle(locations)
val (preferredLocs, otherLocs) = locs.partition(_.host == blockManagerId.host)
val orderedParts = blockManagerId.topologyInfo match {
case None => Seq(preferredLocs, otherLocs)
case Some(_) =>
val (sameRackLocs, differentRackLocs) = otherLocs.partition {
loc => blockManagerId.topologyInfo == loc.topologyInfo
}
Seq(preferredLocs, sameRackLocs, differentRackLocs)
}
orderedParts.map(preferExecutors).reduce(_ ++ _)
}
/**
* Fetch the block from remote block managers as a ManagedBuffer.
*/
private def fetchRemoteManagedBuffer(
blockId: BlockId,
blockSize: Long,
locationsAndStatus: BlockManagerMessages.BlockLocationsAndStatus): Option[ManagedBuffer] = {
// If the block size is above the threshold, we should pass our FileManger to
// BlockTransferService, which will leverage it to spill the block; if not, then passed-in
// null value means the block will be persisted in memory.
val tempFileManager = if (blockSize > maxRemoteBlockToMem) {
remoteBlockTempFileManager
} else {
null
}
var runningFailureCount = 0
var totalFailureCount = 0
val locations = sortLocations(locationsAndStatus.locations)
val maxFetchFailures = locations.size
var locationIterator = locations.iterator
while (locationIterator.hasNext) {
val loc = locationIterator.next()
logDebug(s"Getting remote block $blockId from $loc")
val data = try {
val buf = blockTransferService.fetchBlockSync(loc.host, loc.port, loc.executorId,
blockId.toString, tempFileManager)
if (blockSize > 0 && buf.size() == 0) {
throw new IllegalStateException("Empty buffer received for non empty block " +
s"when fetching remote block $blockId from $loc")
}
buf
} catch {
case NonFatal(e) =>
runningFailureCount += 1
totalFailureCount += 1
if (totalFailureCount >= maxFetchFailures) {
// Give up trying anymore locations. Either we've tried all of the original locations,
// or we've refreshed the list of locations from the master, and have still
// hit failures after trying locations from the refreshed list.
logWarning(s"Failed to fetch remote block $blockId " +
s"from [${locations.mkString(", ")}] after $totalFailureCount fetch failures. " +
s"Most recent failure cause:", e)
return None
}
logWarning(s"Failed to fetch remote block $blockId " +
s"from $loc (failed attempt $runningFailureCount)", e)
// If there is a large number of executors then locations list can contain a
// large number of stale entries causing a large number of retries that may
// take a significant amount of time. To get rid of these stale entries
// we refresh the block locations after a certain number of fetch failures
if (runningFailureCount >= maxFailuresBeforeLocationRefresh) {
locationIterator = sortLocations(master.getLocations(blockId)).iterator
logDebug(s"Refreshed locations from the driver " +
s"after ${runningFailureCount} fetch failures.")
runningFailureCount = 0
}
// This location failed, so we retry fetch from a different one by returning null here
null
}
if (data != null) {
// If the ManagedBuffer is a BlockManagerManagedBuffer, the disposal of the
// byte buffers backing it may need to be handled after reading the bytes.
// In this case, since we just fetched the bytes remotely, we do not have
// a BlockManagerManagedBuffer. The assert here is to ensure that this holds
// true (or the disposal is handled).
assert(!data.isInstanceOf[BlockManagerManagedBuffer])
return Some(data)
}
logDebug(s"The value of block $blockId is null")
}
logDebug(s"Block $blockId not found")
None
}
/**
* Reads the block from the local directories of another executor which runs on the same host.
*/
private[spark] def readDiskBlockFromSameHostExecutor(
blockId: BlockId,
localDirs: Array[String],
blockSize: Long): Option[ManagedBuffer] = {
val file = new File(ExecutorDiskUtils.getFilePath(localDirs, subDirsPerLocalDir, blockId.name))
if (file.exists()) {
val managedBuffer = securityManager.getIOEncryptionKey() match {
case Some(key) =>
// Encrypted blocks cannot be memory mapped; return a special object that does decryption
// and provides InputStream / FileRegion implementations for reading the data.
new EncryptedManagedBuffer(
new EncryptedBlockData(file, blockSize, conf, key))
case _ =>
val transportConf = SparkTransportConf.fromSparkConf(conf, "shuffle")
new FileSegmentManagedBuffer(transportConf, file, 0, file.length)
}
Some(managedBuffer)
} else {
None
}
}
/**
* Get block from remote block managers as serialized bytes.
*/
def getRemoteBytes(blockId: BlockId): Option[ChunkedByteBuffer] = {
getRemoteBlock(blockId, (data: ManagedBuffer) => {
// SPARK-24307 undocumented "escape-hatch" in case there are any issues in converting to
// ChunkedByteBuffer, to go back to old code-path. Can be removed post Spark 2.4 if
// new path is stable.
if (remoteReadNioBufferConversion) {
new ChunkedByteBuffer(data.nioByteBuffer())
} else {
ChunkedByteBuffer.fromManagedBuffer(data)
}
})
}
/**
* Get a block from the block manager (either local or remote).
*
* This acquires a read lock on the block if the block was stored locally and does not acquire
* any locks if the block was fetched from a remote block manager. The read lock will
* automatically be freed once the result's `data` iterator is fully consumed.
*/
def get[T: ClassTag](blockId: BlockId): Option[BlockResult] = {
val local = getLocalValues(blockId)
if (local.isDefined) {
logInfo(s"Found block $blockId locally")
return local
}
val remote = getRemoteValues[T](blockId)
if (remote.isDefined) {
logInfo(s"Found block $blockId remotely")
return remote
}
None
}
/**
* Downgrades an exclusive write lock to a shared read lock.
*/
def downgradeLock(blockId: BlockId): Unit = {
blockInfoManager.downgradeLock(blockId)
}
/**
* Release a lock on the given block with explicit TaskContext.
* The param `taskContext` should be passed in case we can't get the correct TaskContext,
* for example, the input iterator of a cached RDD iterates to the end in a child
* thread.
*/
def releaseLock(blockId: BlockId, taskContext: Option[TaskContext] = None): Unit = {
val taskAttemptId = taskContext.map(_.taskAttemptId())
// SPARK-27666. When a task completes, Spark automatically releases all the blocks locked
// by this task. We should not release any locks for a task that is already completed.
if (taskContext.isDefined && taskContext.get.isCompleted) {
logWarning(s"Task ${taskAttemptId.get} already completed, not releasing lock for $blockId")
} else {
blockInfoManager.unlock(blockId, taskAttemptId)
}
}
/**
* Registers a task with the BlockManager in order to initialize per-task bookkeeping structures.
*/
def registerTask(taskAttemptId: Long): Unit = {
blockInfoManager.registerTask(taskAttemptId)
}
/**
* Release all locks for the given task.
*
* @return the blocks whose locks were released.
*/
def releaseAllLocksForTask(taskAttemptId: Long): Seq[BlockId] = {
blockInfoManager.releaseAllLocksForTask(taskAttemptId)
}
/**
* Retrieve the given block if it exists, otherwise call the provided `makeIterator` method
* to compute the block, persist it, and return its values.
*
* @return either a BlockResult if the block was successfully cached, or an iterator if the block
* could not be cached.
*/
def getOrElseUpdate[T](
blockId: BlockId,
level: StorageLevel,
classTag: ClassTag[T],
makeIterator: () => Iterator[T]): Either[BlockResult, Iterator[T]] = {
// Attempt to read the block from local or remote storage. If it's present, then we don't need
// to go through the local-get-or-put path.
get[T](blockId)(classTag) match {
case Some(block) =>
return Left(block)
case _ =>
// Need to compute the block.
}
// Initially we hold no locks on this block.
doPutIterator(blockId, makeIterator, level, classTag, keepReadLock = true) match {
case None =>
// doPut() didn't hand work back to us, so the block already existed or was successfully
// stored. Therefore, we now hold a read lock on the block.
val blockResult = getLocalValues(blockId).getOrElse {
// Since we held a read lock between the doPut() and get() calls, the block should not
// have been evicted, so get() not returning the block indicates some internal error.
releaseLock(blockId)
throw SparkCoreErrors.failToGetBlockWithLockError(blockId)
}
// We already hold a read lock on the block from the doPut() call and getLocalValues()
// acquires the lock again, so we need to call releaseLock() here so that the net number
// of lock acquisitions is 1 (since the caller will only call release() once).
releaseLock(blockId)
Left(blockResult)
case Some(iter) =>
// The put failed, likely because the data was too large to fit in memory and could not be
// dropped to disk. Therefore, we need to pass the input iterator back to the caller so
// that they can decide what to do with the values (e.g. process them without caching).
Right(iter)
}
}
/**
* @return true if the block was stored or false if an error occurred.
*/
def putIterator[T: ClassTag](
blockId: BlockId,
values: Iterator[T],
level: StorageLevel,
tellMaster: Boolean = true): Boolean = {
require(values != null, "Values is null")
doPutIterator(blockId, () => values, level, implicitly[ClassTag[T]], tellMaster) match {
case None =>
true
case Some(iter) =>
// Caller doesn't care about the iterator values, so we can close the iterator here
// to free resources earlier
iter.close()
false
}
}
/**
* A short circuited method to get a block writer that can write data directly to disk.
* The Block will be appended to the File specified by filename. Callers should handle error
* cases.
*/
def getDiskWriter(
blockId: BlockId,
file: File,
serializerInstance: SerializerInstance,
bufferSize: Int,
writeMetrics: ShuffleWriteMetricsReporter): DiskBlockObjectWriter = {
val syncWrites = conf.get(config.SHUFFLE_SYNC)
new DiskBlockObjectWriter(file, serializerManager, serializerInstance, bufferSize,
syncWrites, writeMetrics, blockId)
}
/**
* Put a new block of serialized bytes to the block manager.
*
* '''Important!''' Callers must not mutate or release the data buffer underlying `bytes`. Doing
* so may corrupt or change the data stored by the `BlockManager`.
*
* @return true if the block was stored or false if an error occurred.
*/
def putBytes[T: ClassTag](
blockId: BlockId,
bytes: ChunkedByteBuffer,
level: StorageLevel,
tellMaster: Boolean = true): Boolean = {
require(bytes != null, "Bytes is null")
val blockStoreUpdater =
ByteBufferBlockStoreUpdater(blockId, level, implicitly[ClassTag[T]], bytes, tellMaster)
blockStoreUpdater.save()
}
/**
* Helper method used to abstract common code from [[BlockStoreUpdater.save()]]
* and [[doPutIterator()]].
*
* @param putBody a function which attempts the actual put() and returns None on success
* or Some on failure.
*/
private def doPut[T](
blockId: BlockId,
level: StorageLevel,
classTag: ClassTag[_],
tellMaster: Boolean,
keepReadLock: Boolean)(putBody: BlockInfo => Option[T]): Option[T] = {
require(blockId != null, "BlockId is null")
require(level != null && level.isValid, "StorageLevel is null or invalid")
checkShouldStore(blockId)
val putBlockInfo = {
val newInfo = new BlockInfo(level, classTag, tellMaster)
if (blockInfoManager.lockNewBlockForWriting(blockId, newInfo)) {
newInfo
} else {
logWarning(s"Block $blockId already exists on this machine; not re-adding it")
if (!keepReadLock) {
// lockNewBlockForWriting returned a read lock on the existing block, so we must free it:
releaseLock(blockId)
}
return None
}
}
val startTimeNs = System.nanoTime()
var exceptionWasThrown: Boolean = true
val result: Option[T] = try {
val res = putBody(putBlockInfo)
exceptionWasThrown = false
if (res.isEmpty) {
// the block was successfully stored
if (keepReadLock) {
blockInfoManager.downgradeLock(blockId)
} else {
blockInfoManager.unlock(blockId)
}
} else {
removeBlockInternal(blockId, tellMaster = false)
logWarning(s"Putting block $blockId failed")
}
res
} catch {
// Since removeBlockInternal may throw exception,
// we should print exception first to show root cause.
case NonFatal(e) =>
logWarning(s"Putting block $blockId failed due to exception $e.")
throw e
} finally {
// This cleanup is performed in a finally block rather than a `catch` to avoid having to
// catch and properly re-throw InterruptedException.
if (exceptionWasThrown) {
// If an exception was thrown then it's possible that the code in `putBody` has already
// notified the master about the availability of this block, so we need to send an update
// to remove this block location.
removeBlockInternal(blockId, tellMaster = tellMaster)
// The `putBody` code may have also added a new block status to TaskMetrics, so we need
// to cancel that out by overwriting it with an empty block status. We only do this if
// the finally block was entered via an exception because doing this unconditionally would
// cause us to send empty block statuses for every block that failed to be cached due to
// a memory shortage (which is an expected failure, unlike an uncaught exception).
addUpdatedBlockStatusToTaskMetrics(blockId, BlockStatus.empty)
}
}
val usedTimeMs = Utils.getUsedTimeNs(startTimeNs)
if (level.replication > 1) {
logDebug(s"Putting block ${blockId} with replication took $usedTimeMs")
} else {
logDebug(s"Putting block ${blockId} without replication took ${usedTimeMs}")
}
result
}
/**
* Put the given block according to the given level in one of the block stores, replicating
* the values if necessary.
*
* If the block already exists, this method will not overwrite it.
*
* @param keepReadLock if true, this method will hold the read lock when it returns (even if the
* block already exists). If false, this method will hold no locks when it
* returns.
* @return None if the block was already present or if the put succeeded, or Some(iterator)
* if the put failed.
*/
private def doPutIterator[T](
blockId: BlockId,
iterator: () => Iterator[T],
level: StorageLevel,
classTag: ClassTag[T],
tellMaster: Boolean = true,
keepReadLock: Boolean = false): Option[PartiallyUnrolledIterator[T]] = {
doPut(blockId, level, classTag, tellMaster = tellMaster, keepReadLock = keepReadLock) { info =>
val startTimeNs = System.nanoTime()
var iteratorFromFailedMemoryStorePut: Option[PartiallyUnrolledIterator[T]] = None
// Size of the block in bytes
var size = 0L
if (level.useMemory) {
// Put it in memory first, even if it also has useDisk set to true;
// We will drop it to disk later if the memory store can't hold it.
if (level.deserialized) {
memoryStore.putIteratorAsValues(blockId, iterator(), level.memoryMode, classTag) match {
case Right(s) =>
size = s
case Left(iter) =>
// Not enough space to unroll this block; drop to disk if applicable
if (level.useDisk) {
logWarning(s"Persisting block $blockId to disk instead.")
diskStore.put(blockId) { channel =>
val out = Channels.newOutputStream(channel)
serializerManager.dataSerializeStream(blockId, out, iter)(classTag)
}
size = diskStore.getSize(blockId)
} else {
iteratorFromFailedMemoryStorePut = Some(iter)
}
}
} else { // !level.deserialized
memoryStore.putIteratorAsBytes(blockId, iterator(), classTag, level.memoryMode) match {
case Right(s) =>
size = s
case Left(partiallySerializedValues) =>
// Not enough space to unroll this block; drop to disk if applicable
if (level.useDisk) {
logWarning(s"Persisting block $blockId to disk instead.")
diskStore.put(blockId) { channel =>
val out = Channels.newOutputStream(channel)
partiallySerializedValues.finishWritingToStream(out)
}
size = diskStore.getSize(blockId)
} else {
iteratorFromFailedMemoryStorePut = Some(partiallySerializedValues.valuesIterator)
}
}
}
} else if (level.useDisk) {
diskStore.put(blockId) { channel =>
val out = Channels.newOutputStream(channel)
serializerManager.dataSerializeStream(blockId, out, iterator())(classTag)
}
size = diskStore.getSize(blockId)
}
val putBlockStatus = getCurrentBlockStatus(blockId, info)
val blockWasSuccessfullyStored = putBlockStatus.storageLevel.isValid
if (blockWasSuccessfullyStored) {
// Now that the block is in either the memory or disk store, tell the master about it.
info.size = size
if (tellMaster && info.tellMaster) {
reportBlockStatus(blockId, putBlockStatus)
}
addUpdatedBlockStatusToTaskMetrics(blockId, putBlockStatus)
logDebug(s"Put block $blockId locally took ${Utils.getUsedTimeNs(startTimeNs)}")
if (level.replication > 1) {
val remoteStartTimeNs = System.nanoTime()
val bytesToReplicate = doGetLocalBytes(blockId, info)
// [SPARK-16550] Erase the typed classTag when using default serialization, since
// NettyBlockRpcServer crashes when deserializing repl-defined classes.
// TODO(ekl) remove this once the classloader issue on the remote end is fixed.
val remoteClassTag = if (!serializerManager.canUseKryo(classTag)) {
scala.reflect.classTag[Any]
} else {
classTag
}
try {
replicate(blockId, bytesToReplicate, level, remoteClassTag)
} finally {
bytesToReplicate.dispose()
}
logDebug(s"Put block $blockId remotely took ${Utils.getUsedTimeNs(remoteStartTimeNs)}")
}
}
assert(blockWasSuccessfullyStored == iteratorFromFailedMemoryStorePut.isEmpty)
iteratorFromFailedMemoryStorePut
}
}
/**
* Attempts to cache spilled bytes read from disk into the MemoryStore in order to speed up
* subsequent reads. This method requires the caller to hold a read lock on the block.
*
* @return a copy of the bytes from the memory store if the put succeeded, otherwise None.
* If this returns bytes from the memory store then the original disk store bytes will
* automatically be disposed and the caller should not continue to use them. Otherwise,
* if this returns None then the original disk store bytes will be unaffected.
*/
private def maybeCacheDiskBytesInMemory(
blockInfo: BlockInfo,
blockId: BlockId,
level: StorageLevel,
diskData: BlockData): Option[ChunkedByteBuffer] = {
require(!level.deserialized)
if (level.useMemory) {
// Synchronize on blockInfo to guard against a race condition where two readers both try to
// put values read from disk into the MemoryStore.
blockInfo.synchronized {
if (memoryStore.contains(blockId)) {
diskData.dispose()
Some(memoryStore.getBytes(blockId).get)
} else {
val allocator = level.memoryMode match {
case MemoryMode.ON_HEAP => ByteBuffer.allocate _
case MemoryMode.OFF_HEAP => Platform.allocateDirectBuffer _
}
val putSucceeded = memoryStore.putBytes(blockId, diskData.size, level.memoryMode, () => {
// https://issues.apache.org/jira/browse/SPARK-6076
// If the file size is bigger than the free memory, OOM will happen. So if we
// cannot put it into MemoryStore, copyForMemory should not be created. That's why
// this action is put into a `() => ChunkedByteBuffer` and created lazily.
diskData.toChunkedByteBuffer(allocator)
})
if (putSucceeded) {
diskData.dispose()
Some(memoryStore.getBytes(blockId).get)
} else {
None
}
}
}
} else {
None
}
}
/**
* Attempts to cache spilled values read from disk into the MemoryStore in order to speed up
* subsequent reads. This method requires the caller to hold a read lock on the block.
*
* @return a copy of the iterator. The original iterator passed this method should no longer
* be used after this method returns.
*/
private def maybeCacheDiskValuesInMemory[T](
blockInfo: BlockInfo,
blockId: BlockId,
level: StorageLevel,
diskIterator: Iterator[T]): Iterator[T] = {
require(level.deserialized)
val classTag = blockInfo.classTag.asInstanceOf[ClassTag[T]]
if (level.useMemory) {
// Synchronize on blockInfo to guard against a race condition where two readers both try to
// put values read from disk into the MemoryStore.
blockInfo.synchronized {
if (memoryStore.contains(blockId)) {
// Note: if we had a means to discard the disk iterator, we would do that here.
memoryStore.getValues(blockId).get
} else {
memoryStore.putIteratorAsValues(blockId, diskIterator, level.memoryMode, classTag) match {
case Left(iter) =>
// The memory store put() failed, so it returned the iterator back to us:
iter
case Right(_) =>
// The put() succeeded, so we can read the values back:
memoryStore.getValues(blockId).get
}
}
}.asInstanceOf[Iterator[T]]
} else {
diskIterator
}
}
/**
* Get peer block managers in the system.
*/
private[storage] def getPeers(forceFetch: Boolean): Seq[BlockManagerId] = {
peerFetchLock.synchronized {
val cachedPeersTtl = conf.get(config.STORAGE_CACHED_PEERS_TTL) // milliseconds
val diff = TimeUnit.NANOSECONDS.toMillis(System.nanoTime() - lastPeerFetchTimeNs)
val timeout = diff > cachedPeersTtl
if (cachedPeers == null || forceFetch || timeout) {
cachedPeers = master.getPeers(blockManagerId).sortBy(_.hashCode)
lastPeerFetchTimeNs = System.nanoTime()
logDebug("Fetched peers from master: " + cachedPeers.mkString("[", ",", "]"))
}
if (cachedPeers.isEmpty &&
conf.get(config.STORAGE_DECOMMISSION_FALLBACK_STORAGE_PATH).isDefined) {
Seq(FallbackStorage.FALLBACK_BLOCK_MANAGER_ID)
} else {
cachedPeers
}
}
}
/**
* Replicates a block to peer block managers based on existingReplicas and maxReplicas
*
* @param blockId blockId being replicate
* @param existingReplicas existing block managers that have a replica
* @param maxReplicas maximum replicas needed
* @param maxReplicationFailures number of replication failures to tolerate before
* giving up.
* @return whether block was successfully replicated or not
*/
def replicateBlock(
blockId: BlockId,
existingReplicas: Set[BlockManagerId],
maxReplicas: Int,
maxReplicationFailures: Option[Int] = None): Boolean = {
logInfo(s"Using $blockManagerId to pro-actively replicate $blockId")
blockInfoManager.lockForReading(blockId).forall { info =>
val data = doGetLocalBytes(blockId, info)
val storageLevel = StorageLevel(
useDisk = info.level.useDisk,
useMemory = info.level.useMemory,
useOffHeap = info.level.useOffHeap,
deserialized = info.level.deserialized,
replication = maxReplicas)
// we know we are called as a result of an executor removal or because the current executor
// is getting decommissioned. so we refresh peer cache before trying replication, we won't
// try to replicate to a missing executor/another decommissioning executor
getPeers(forceFetch = true)
try {
replicate(
blockId, data, storageLevel, info.classTag, existingReplicas, maxReplicationFailures)
} finally {
logDebug(s"Releasing lock for $blockId")
releaseLockAndDispose(blockId, data)
}
}
}
/**
* Replicate block to another node. Note that this is a blocking call that returns after
* the block has been replicated.
*/
private def replicate(
blockId: BlockId,
data: BlockData,
level: StorageLevel,
classTag: ClassTag[_],
existingReplicas: Set[BlockManagerId] = Set.empty,
maxReplicationFailures: Option[Int] = None): Boolean = {
val maxReplicationFailureCount = maxReplicationFailures.getOrElse(
conf.get(config.STORAGE_MAX_REPLICATION_FAILURE))
val tLevel = StorageLevel(
useDisk = level.useDisk,
useMemory = level.useMemory,
useOffHeap = level.useOffHeap,
deserialized = level.deserialized,
replication = 1)
val numPeersToReplicateTo = level.replication - 1
val startTime = System.nanoTime
val peersReplicatedTo = mutable.HashSet.empty ++ existingReplicas
val peersFailedToReplicateTo = mutable.HashSet.empty[BlockManagerId]
var numFailures = 0
val initialPeers = getPeers(false).filterNot(existingReplicas.contains)
var peersForReplication = blockReplicationPolicy.prioritize(
blockManagerId,
initialPeers,
peersReplicatedTo,
blockId,
numPeersToReplicateTo)
while(numFailures <= maxReplicationFailureCount &&
!peersForReplication.isEmpty &&
peersReplicatedTo.size < numPeersToReplicateTo) {
val peer = peersForReplication.head
try {
val onePeerStartTime = System.nanoTime
logTrace(s"Trying to replicate $blockId of ${data.size} bytes to $peer")
// This thread keeps a lock on the block, so we do not want the netty thread to unlock
// block when it finishes sending the message.
val buffer = new BlockManagerManagedBuffer(blockInfoManager, blockId, data, false,
unlockOnDeallocate = false)
blockTransferService.uploadBlockSync(
peer.host,
peer.port,
peer.executorId,
blockId,
buffer,
tLevel,
classTag)
logTrace(s"Replicated $blockId of ${data.size} bytes to $peer" +
s" in ${(System.nanoTime - onePeerStartTime).toDouble / 1e6} ms")
peersForReplication = peersForReplication.tail
peersReplicatedTo += peer
} catch {
// Rethrow interrupt exception
case e: InterruptedException =>
throw e
// Everything else we may retry
case NonFatal(e) =>
logWarning(s"Failed to replicate $blockId to $peer, failure #$numFailures", e)
peersFailedToReplicateTo += peer
// we have a failed replication, so we get the list of peers again
// we don't want peers we have already replicated to and the ones that
// have failed previously
val filteredPeers = getPeers(true).filter { p =>
!peersFailedToReplicateTo.contains(p) && !peersReplicatedTo.contains(p)
}
numFailures += 1
peersForReplication = blockReplicationPolicy.prioritize(
blockManagerId,
filteredPeers,
peersReplicatedTo,
blockId,
numPeersToReplicateTo - peersReplicatedTo.size)
}
}
logDebug(s"Replicating $blockId of ${data.size} bytes to " +
s"${peersReplicatedTo.size} peer(s) took ${(System.nanoTime - startTime) / 1e6} ms")
if (peersReplicatedTo.size < numPeersToReplicateTo) {
logWarning(s"Block $blockId replicated to only " +
s"${peersReplicatedTo.size} peer(s) instead of $numPeersToReplicateTo peers")
return false
}
logDebug(s"block $blockId replicated to ${peersReplicatedTo.mkString(", ")}")
true
}
/**
* Read a block consisting of a single object.
*/
def getSingle[T: ClassTag](blockId: BlockId): Option[T] = {
get[T](blockId).map(_.data.next().asInstanceOf[T])
}
/**
* Write a block consisting of a single object.
*
* @return true if the block was stored or false if the block was already stored or an
* error occurred.
*/
def putSingle[T: ClassTag](
blockId: BlockId,
value: T,
level: StorageLevel,
tellMaster: Boolean = true): Boolean = {
putIterator(blockId, Iterator(value), level, tellMaster)
}
/**
* Drop a block from memory, possibly putting it on disk if applicable. Called when the memory
* store reaches its limit and needs to free up space.
*
* If `data` is not put on disk, it won't be created.
*
* The caller of this method must hold a write lock on the block before calling this method.
* This method does not release the write lock.
*
* @return the block's new effective StorageLevel.
*/
private[storage] override def dropFromMemory[T: ClassTag](
blockId: BlockId,
data: () => Either[Array[T], ChunkedByteBuffer]): StorageLevel = {
logInfo(s"Dropping block $blockId from memory")
val info = blockInfoManager.assertBlockIsLockedForWriting(blockId)
var blockIsUpdated = false
val level = info.level
// Drop to disk, if storage level requires
if (level.useDisk && !diskStore.contains(blockId)) {
logInfo(s"Writing block $blockId to disk")
data() match {
case Left(elements) =>
diskStore.put(blockId) { channel =>
val out = Channels.newOutputStream(channel)
serializerManager.dataSerializeStream(
blockId,
out,
elements.iterator)(info.classTag.asInstanceOf[ClassTag[T]])
}
case Right(bytes) =>
diskStore.putBytes(blockId, bytes)
}
blockIsUpdated = true
}
// Actually drop from memory store
val droppedMemorySize =
if (memoryStore.contains(blockId)) memoryStore.getSize(blockId) else 0L
val blockIsRemoved = memoryStore.remove(blockId)
if (blockIsRemoved) {
blockIsUpdated = true
} else {
logWarning(s"Block $blockId could not be dropped from memory as it does not exist")
}
val status = getCurrentBlockStatus(blockId, info)
if (info.tellMaster) {
reportBlockStatus(blockId, status, droppedMemorySize)
}
if (blockIsUpdated) {
addUpdatedBlockStatusToTaskMetrics(blockId, status)
}
status.storageLevel
}
/**
* Remove all blocks belonging to the given RDD.
*
* @return The number of blocks removed.
*/
def removeRdd(rddId: Int): Int = {
// TODO: Avoid a linear scan by creating another mapping of RDD.id to blocks.
logInfo(s"Removing RDD $rddId")
val blocksToRemove = blockInfoManager.entries.flatMap(_._1.asRDDId).filter(_.rddId == rddId)
blocksToRemove.foreach { blockId => removeBlock(blockId, tellMaster = false) }
blocksToRemove.size
}
def decommissionBlockManager(): Unit = storageEndpoint.ask(DecommissionBlockManager)
private[spark] def decommissionSelf(): Unit = synchronized {
decommissioner match {
case None =>
logInfo("Starting block manager decommissioning process...")
decommissioner = Some(new BlockManagerDecommissioner(conf, this))
decommissioner.foreach(_.start())
case Some(_) =>
logDebug("Block manager already in decommissioning state")
}
}
/**
* Returns the last migration time and a boolean denoting if all the blocks have been migrated.
* If there are any tasks running since that time the boolean may be incorrect.
*/
private[spark] def lastMigrationInfo(): (Long, Boolean) = {
decommissioner.map(_.lastMigrationInfo()).getOrElse((0, false))
}
private[storage] def getMigratableRDDBlocks(): Seq[ReplicateBlock] =
master.getReplicateInfoForRDDBlocks(blockManagerId)
/**
* Remove all blocks belonging to the given broadcast.
*/
def removeBroadcast(broadcastId: Long, tellMaster: Boolean): Int = {
logDebug(s"Removing broadcast $broadcastId")
val blocksToRemove = blockInfoManager.entries.map(_._1).collect {
case bid @ BroadcastBlockId(`broadcastId`, _) => bid
}
blocksToRemove.foreach { blockId => removeBlock(blockId, tellMaster) }
blocksToRemove.size
}
/**
* Remove a block from both memory and disk.
*/
def removeBlock(blockId: BlockId, tellMaster: Boolean = true): Unit = {
logDebug(s"Removing block $blockId")
blockInfoManager.lockForWriting(blockId) match {
case None =>
// The block has already been removed; do nothing.
logWarning(s"Asked to remove block $blockId, which does not exist")
case Some(info) =>
removeBlockInternal(blockId, tellMaster = tellMaster && info.tellMaster)
addUpdatedBlockStatusToTaskMetrics(blockId, BlockStatus.empty)
}
}
/**
* Internal version of [[removeBlock()]] which assumes that the caller already holds a write
* lock on the block.
*/
private def removeBlockInternal(blockId: BlockId, tellMaster: Boolean): Unit = {
val blockStatus = if (tellMaster) {
val blockInfo = blockInfoManager.assertBlockIsLockedForWriting(blockId)
Some(getCurrentBlockStatus(blockId, blockInfo))
} else None
// Removals are idempotent in disk store and memory store. At worst, we get a warning.
val removedFromMemory = memoryStore.remove(blockId)
val removedFromDisk = diskStore.remove(blockId)
if (!removedFromMemory && !removedFromDisk) {
logWarning(s"Block $blockId could not be removed as it was not found on disk or in memory")
}
blockInfoManager.removeBlock(blockId)
if (tellMaster) {
// Only update storage level from the captured block status before deleting, so that
// memory size and disk size are being kept for calculating delta.
reportBlockStatus(blockId, blockStatus.get.copy(storageLevel = StorageLevel.NONE))
}
}
private def addUpdatedBlockStatusToTaskMetrics(blockId: BlockId, status: BlockStatus): Unit = {
if (conf.get(config.TASK_METRICS_TRACK_UPDATED_BLOCK_STATUSES)) {
Option(TaskContext.get()).foreach { c =>
c.taskMetrics().incUpdatedBlockStatuses(blockId -> status)
}
}
}
def releaseLockAndDispose(
blockId: BlockId,
data: BlockData,
taskContext: Option[TaskContext] = None): Unit = {
releaseLock(blockId, taskContext)
data.dispose()
}
def stop(): Unit = {
decommissioner.foreach(_.stop())
blockTransferService.close()
if (blockStoreClient ne blockTransferService) {
// Closing should be idempotent, but maybe not for the NioBlockTransferService.
blockStoreClient.close()
}
remoteBlockTempFileManager.stop()
diskBlockManager.stop()
rpcEnv.stop(storageEndpoint)
blockInfoManager.clear()
memoryStore.clear()
futureExecutionContext.shutdownNow()
logInfo("BlockManager stopped")
}
}
private[spark] object BlockManager {
private val ID_GENERATOR = new IdGenerator
def blockIdsToLocations(
blockIds: Array[BlockId],
env: SparkEnv,
blockManagerMaster: BlockManagerMaster = null): Map[BlockId, Seq[String]] = {
// blockManagerMaster != null is used in tests
assert(env != null || blockManagerMaster != null)
val blockLocations: Seq[Seq[BlockManagerId]] = if (blockManagerMaster == null) {
env.blockManager.getLocationBlockIds(blockIds)
} else {
blockManagerMaster.getLocations(blockIds)
}
val blockManagers = new HashMap[BlockId, Seq[String]]
for (i <- blockIds.indices) {
blockManagers(blockIds(i)) = blockLocations(i).map { loc =>
ExecutorCacheTaskLocation(loc.host, loc.executorId).toString
}
}
blockManagers.toMap
}
private class ShuffleMetricsSource(
override val sourceName: String,
metricSet: MetricSet) extends Source {
override val metricRegistry = new MetricRegistry
metricRegistry.registerAll(metricSet)
}
class RemoteBlockDownloadFileManager(
blockManager: BlockManager,
encryptionKey: Option[Array[Byte]])
extends DownloadFileManager with Logging {
private class ReferenceWithCleanup(
file: DownloadFile,
referenceQueue: JReferenceQueue[DownloadFile]
) extends WeakReference[DownloadFile](file, referenceQueue) {
// we cannot use `file.delete()` here otherwise it won't be garbage-collected
val filePath = file.path()
def cleanUp(): Unit = {
logDebug(s"Clean up file $filePath")
if (!new File(filePath).delete()) {
logDebug(s"Fail to delete file $filePath")
}
}
}
private val referenceQueue = new JReferenceQueue[DownloadFile]
private val referenceBuffer = Collections.newSetFromMap[ReferenceWithCleanup](
new ConcurrentHashMap)
private val POLL_TIMEOUT = 1000
@volatile private var stopped = false
private val cleaningThread = new Thread() { override def run(): Unit = { keepCleaning() } }
cleaningThread.setDaemon(true)
cleaningThread.setName("RemoteBlock-temp-file-clean-thread")
cleaningThread.start()
override def createTempFile(transportConf: TransportConf): DownloadFile = {
val file = blockManager.diskBlockManager.createTempLocalBlock()._2
encryptionKey match {
case Some(key) =>
// encryption is enabled, so when we read the decrypted data off the network, we need to
// encrypt it when writing to disk. Note that the data may have been encrypted when it
// was cached on disk on the remote side, but it was already decrypted by now (see
// EncryptedBlockData).
new EncryptedDownloadFile(file, key)
case None =>
new SimpleDownloadFile(file, transportConf)
}
}
override def registerTempFileToClean(file: DownloadFile): Boolean = {
referenceBuffer.add(new ReferenceWithCleanup(file, referenceQueue))
}
def stop(): Unit = {
stopped = true
cleaningThread.interrupt()
cleaningThread.join()
}
private def keepCleaning(): Unit = {
while (!stopped) {
try {
Option(referenceQueue.remove(POLL_TIMEOUT))
.map(_.asInstanceOf[ReferenceWithCleanup])
.foreach { ref =>
referenceBuffer.remove(ref)
ref.cleanUp()
}
} catch {
case _: InterruptedException =>
// no-op
case NonFatal(e) =>
logError("Error in cleaning thread", e)
}
}
}
}
/**
* A DownloadFile that encrypts data when it is written, and decrypts when it's read.
*/
private class EncryptedDownloadFile(
file: File,
key: Array[Byte]) extends DownloadFile {
private val env = SparkEnv.get
override def delete(): Boolean = file.delete()
override def openForWriting(): DownloadFileWritableChannel = {
new EncryptedDownloadWritableChannel()
}
override def path(): String = file.getAbsolutePath
private class EncryptedDownloadWritableChannel extends DownloadFileWritableChannel {
private val countingOutput: CountingWritableChannel = new CountingWritableChannel(
Channels.newChannel(env.serializerManager.wrapForEncryption(new FileOutputStream(file))))
override def closeAndRead(): ManagedBuffer = {
countingOutput.close()
val size = countingOutput.getCount
new EncryptedManagedBuffer(new EncryptedBlockData(file, size, env.conf, key))
}
override def write(src: ByteBuffer): Int = countingOutput.write(src)
override def isOpen: Boolean = countingOutput.isOpen()
override def close(): Unit = countingOutput.close()
}
}
}
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