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Spark2.0 shuffle service

时间:2018-06-14 22:14:52      阅读:218      评论:0      收藏:0      [点我收藏+]

标签:mon   color   int   2.0   spark   nts   sync   local   down   

Spark 的shuffle 服务是spark的核心,本文介绍了非ExternalShuffleClient的方式,看BlockService的整个架构。ShuffleClient是整个框架的基础,有init方法和fetchBlock两个方法。

/** Provides an interface for reading shuffle files, either from an Executor or external service. */  
public abstract class ShuffleClient implements Closeable {  
  
  /**  
   * Initializes the ShuffleClient, specifying this Executor‘s appId.  
   * Must be called before any other method on the ShuffleClient.  
   * 初始化ShuffleClient, 传入本执行器的程序ID,本方法必须在访问ShuffleClient的其它方法前调用。  
   */  
  public void init(String appId) { }  
  
  /**  
   * Fetch a sequence of blocks from a remote node asynchronously,  
   *  
   * Note that this API takes a sequence so the implementation can batch requests, and does not  
   * return a future so the underlying implementation can invoke onBlockFetchSuccess as soon as  
   * the data of a block is fetched, rather than waiting for all blocks to be fetched.  
   * 异步的从远程结点取一系列的数据块,并且不返回future对象,所以当取到一个数据块的数据时,底层的实现可以调用onBlockFetchSuccess方法,  
   * 并不用等所有的数据块都取完。  
   */  
  public abstract void fetchBlocks(  
      String host,  
      int port,  
      String execId,  
      String[] blockIds,  
      BlockFetchingListener listener);  
}  

BlockFetchingListener接口,onBlockFetchSuccess方法:每次成功取得一个数据块时调用。当本方法返回时,数据必须被自动释放。 如果数据被传递给另一个线程,接收者必须自己调用retain()和release(),或者拷贝数据到一个新的缓冲区。onBlockFetchFailure方法,数据块获取失败时,至少被调用一次。

public interface BlockFetchingListener extends EventListener {  
  /**  
   * Called once per successfully fetched block. After this call returns, data will be released  
   * automatically. If the data will be passed to another thread, the receiver should retain()  
   * and release() the buffer on their own, or copy the data to a new buffer.  
   */  
  void onBlockFetchSuccess(String blockId, ManagedBuffer data);  
  
  /**  
   * Called at least once per block upon failures.  
   */  
  void onBlockFetchFailure(String blockId, Throwable exception);  
}  

BlockTransferService扩展了ShuffleClient,有一些方法的公共的实现。

private[spark]  
abstract class BlockTransferService extends ShuffleClient with Closeable with Logging {  
  
  /**  
   * Initialize the transfer service by giving it the BlockDataManager that can be used to fetch  
   * local blocks or put local blocks.  
   * 通过传递给他BlockDataManager对象来初始化传输服务,BlockDataManager可以用来存取本地数据块。  
   */  
  def init(blockDataManager: BlockDataManager): Unit  
  
  /**  
   * Tear down the transfer service.  
   * 关闭传输服务。  
   */  
  def close(): Unit  
  
  /**  
   * Port number the service is listening on, available only after [[init]] is invoked.  
   * 传输服务所在的端口号,在调用init方法后可用。  
   */  
  def port: Int  
  
  /**  
   * Host name the service is listening on, available only after [[init]] is invoked.  
   * 传输服务所在的主机名,在调用init方法后可用。  
   */  
  def hostName: String  
  
  /**  
   * Fetch a sequence of blocks from a remote node asynchronously,  
   * available only after [[init]] is invoked.  
   *  
   * Note that this API takes a sequence so the implementation can batch requests, and does not  
   * return a future so the underlying implementation can invoke onBlockFetchSuccess as soon as  
   * the data of a block is fetched, rather than waiting for all blocks to be fetched.  
   *   
   * 异步的从远程结点取一系列的数据块,,仅在调用init方法后可用。  
   * 注意本API用一个序列,所以实现可以使用批量请求,并且不返回future对象,所以当取到一个数据块的数据时,底层的实现可以调用onBlockFetchSuccess方法,  
   * 并不用等所有的数据块都取完。  
 */ 

override def fetchBlocks( host: String, port: Int, execId: String, blockIds: Array[String], listener: BlockFetchingListener): Unit

/**
  * Upload a single block to a remote node, available only after [[init]] is invoked. * 上传一个数据块到远程结点,仅在调用init方法后可用。
*/ def uploadBlock( hostname: String, port: Int, execId: String, blockId: BlockId, blockData: ManagedBuffer, level: StorageLevel, classTag: ClassTag[_]): Future[Unit] /** * A special case of [[fetchBlocks]], as it fetches only one block and is blocking. * * It is also only available after [[init]] is invoked. * fetchBlocks的一个特别方法,他只取一个数据块并且阻塞,仅在调用init方法后可用。 。 */ def fetchBlockSync(host: String, port: Int, execId: String, blockId: String): ManagedBuffer = { // A monitor for the thread to wait on. val result = Promise[ManagedBuffer]() fetchBlocks(host, port, execId, Array(blockId), new BlockFetchingListener { override def onBlockFetchFailure(blockId: String, exception: Throwable): Unit = { result.failure(exception) } override def onBlockFetchSuccess(blockId: String, data: ManagedBuffer): Unit = { val ret = ByteBuffer.allocate(data.size.toInt) ret.put(data.nioByteBuffer()) ret.flip() result.success(new NioManagedBuffer(ret)) } }) ThreadUtils.awaitResult(result.future, Duration.Inf) } /** * Upload a single block to a remote node, available only after [[init]] is invoked. * * This method is similar to [[uploadBlock]], except this one blocks the thread * until the upload finishes. * 上传一个数据块到远程结点,仅在调用init方法后可用。 * 这个方法和uploadBlock方法类似,除了直到上传结点,本方法会一直阻塞。 */ def uploadBlockSync( hostname: String, port: Int, execId: String, blockId: BlockId, blockData: ManagedBuffer, level: StorageLevel, classTag: ClassTag[_]): Unit = { val future = uploadBlock(hostname, port, execId, blockId, blockData, level, classTag) ThreadUtils.awaitResult(future, Duration.Inf) } }

NettyBlockTransferService扩展了BlockTransferServie

Spark2.0 shuffle service

标签:mon   color   int   2.0   spark   nts   sync   local   down   

原文地址:https://www.cnblogs.com/itboys/p/9185113.html

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