Ngone51 commented on a change in pull request #30312:
URL: https://github.com/apache/spark/pull/30312#discussion_r532383387



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File path: core/src/main/scala/org/apache/spark/shuffle/ShuffleBlockPusher.scala
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@@ -0,0 +1,462 @@
+/*
+ * Licensed to the Apache Software Foundation (ASF) under one or more
+ * contributor license agreements.  See the NOTICE file distributed with
+ * this work for additional information regarding copyright ownership.
+ * The ASF licenses this file to You under the Apache License, Version 2.0
+ * (the "License"); you may not use this file except in compliance with
+ * the License.  You may obtain a copy of the License at
+ *
+ *    http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+
+package org.apache.spark.shuffle
+
+import java.io.File
+import java.net.ConnectException
+import java.nio.ByteBuffer
+import java.util.concurrent.ExecutorService
+
+import scala.collection.mutable.{ArrayBuffer, HashMap, HashSet, Queue}
+
+import com.google.common.base.Throwables
+
+import org.apache.spark.{ShuffleDependency, SparkConf, SparkEnv}
+import org.apache.spark.annotation.Since
+import org.apache.spark.internal.Logging
+import org.apache.spark.internal.config._
+import org.apache.spark.launcher.SparkLauncher
+import org.apache.spark.network.buffer.{FileSegmentManagedBuffer, 
ManagedBuffer, NioManagedBuffer}
+import org.apache.spark.network.netty.SparkTransportConf
+import org.apache.spark.network.shuffle.BlockFetchingListener
+import org.apache.spark.network.shuffle.ErrorHandler.BlockPushErrorHandler
+import org.apache.spark.network.util.TransportConf
+import org.apache.spark.shuffle.ShuffleBlockPusher._
+import org.apache.spark.storage.{BlockId, BlockManagerId, ShufflePushBlockId}
+import org.apache.spark.util.{ThreadUtils, Utils}
+
+/**
+ * Used for pushing shuffle blocks to remote shuffle services when push 
shuffle is enabled.
+ * When push shuffle is enabled, it is created after the shuffle writer 
finishes writing the shuffle
+ * file and initiates the block push process.
+ *
+ * @param dataFile         mapper generated shuffle data file
+ * @param partitionLengths array of shuffle block size so we can tell shuffle 
block
+ *                         boundaries within the shuffle file
+ * @param dep              shuffle dependency to get shuffle ID and the 
location of remote shuffle
+ *                         services to push local shuffle blocks
+ * @param partitionId      map index of the shuffle map task
+ * @param conf             spark configuration
+ */
+@Since("3.1.0")
+private[spark] class ShuffleBlockPusher(
+    dataFile: File,
+    partitionLengths: Array[Long],
+    dep: ShuffleDependency[_, _, _],
+    partitionId: Int,
+    conf: SparkConf) extends Logging {
+  private[this] var maxBytesInFlight = 0L
+  private[this] var maxReqsInFlight = 0
+  private[this] var maxBlocksInFlightPerAddress = 0
+  private[this] var bytesInFlight = 0L
+  private[this] var reqsInFlight = 0
+  private[this] val numBlocksInFlightPerAddress = new HashMap[BlockManagerId, 
Int]()
+  private[this] val deferredPushRequests = new HashMap[BlockManagerId, 
Queue[PushRequest]]()
+  private[this] val pushRequests = new Queue[PushRequest]
+  private[this] val errorHandler = createErrorHandler()
+  private[this] val unreachableBlockMgrs = new HashSet[BlockManagerId]()
+
+  // VisibleForTesting
+  private[shuffle] def createErrorHandler(): BlockPushErrorHandler = {
+    new BlockPushErrorHandler() {
+      // For a connection exception against a particular host, we will stop 
pushing any
+      // blocks to just that host and continue push blocks to other hosts. So, 
here push of
+      // all blocks will only stop when it is "Too Late". Also see 
updateStateAndCheckIfPushMore.
+      override def shouldRetryError(t: Throwable): Boolean = {
+        // If the block is too late, there is no need to retry it
+        
!Throwables.getStackTraceAsString(t).contains(BlockPushErrorHandler.TOO_LATE_MESSAGE_SUFFIX)
+      }
+    }
+  }
+
+  private[shuffle] def initiateBlockPush(): Unit = {
+    val numPartitions = dep.partitioner.numPartitions
+    val transportConf = SparkTransportConf.fromSparkConf(conf, "shuffle")
+
+    val maxBlockSizeToPush = conf.get(SHUFFLE_MAX_BLOCK_SIZE_TO_PUSH) * 1024
+    val maxBlockBatchSize = conf.get(SHUFFLE_MAX_BLOCK_BATCH_SIZE_FOR_PUSH) * 
1024 * 1024
+    val mergerLocs = dep.getMergerLocs.map(loc => BlockManagerId("", loc.host, 
loc.port))
+
+    maxBytesInFlight = conf.getSizeAsMb("spark.reducer.maxSizeInFlight", 
"48m") * 1024 * 1024
+    maxReqsInFlight = conf.getInt("spark.reducer.maxReqsInFlight", 
Int.MaxValue)
+    maxBlocksInFlightPerAddress = 
conf.get(REDUCER_MAX_BLOCKS_IN_FLIGHT_PER_ADDRESS)
+
+    val requests = prepareBlockPushRequests(numPartitions, partitionId, 
dep.shuffleId, dataFile,
+      partitionLengths, mergerLocs, transportConf, maxBlockSizeToPush, 
maxBlockBatchSize)
+    // Randomize the orders of the PushRequest, so different mappers pushing 
blocks at the same
+    // time won't be pushing the same ranges of shuffle partitions.
+    pushRequests ++= Utils.randomize(requests)
+
+    submitTask(() => {
+      pushUpToMax()
+    })
+  }
+
+  /**
+   * Triggers the push. It's a separate method for testing.
+   * VisibleForTesting
+   */
+  protected def submitTask(task: Runnable): Unit = {
+    if (BLOCK_PUSHER_POOL != null) {
+      BLOCK_PUSHER_POOL.execute(task)
+    }
+  }
+
+  /**
+   * Since multiple netty client threads could potentially be calling 
pushUpToMax for the same
+   * mapper, we synchronize access to this method so that only one thread can 
push blocks for
+   * a given mapper. This helps to simplify access to the shared states. The 
down side of this
+   * is that we could unnecessarily block other mappers' block pushes if all 
netty client threads
+   * are occupied by block pushes from the same mapper.
+   *
+   * This code is similar to ShuffleBlockFetcherIterator#fetchUpToMaxBytes in 
how it throttles
+   * the data transfer between shuffle client/server.
+   */
+  private def pushUpToMax(): Unit = synchronized {
+    // Process any outstanding deferred push requests if possible.
+    if (deferredPushRequests.nonEmpty) {
+      for ((remoteAddress, defReqQueue) <- deferredPushRequests) {
+        while (isRemoteBlockPushable(defReqQueue) &&
+          !isRemoteAddressMaxedOut(remoteAddress, defReqQueue.front)) {
+          val request = defReqQueue.dequeue()
+          logDebug(s"Processing deferred push request for $remoteAddress with "
+            + s"${request.blocks.length} blocks")
+          sendRequest(request)
+          if (defReqQueue.isEmpty) {
+            deferredPushRequests -= remoteAddress
+          }
+        }
+      }
+    }
+
+    // Process any regular push requests if possible.
+    while (isRemoteBlockPushable(pushRequests)) {
+      val request = pushRequests.dequeue()
+      val remoteAddress = request.address
+      if (isRemoteAddressMaxedOut(remoteAddress, request)) {
+        logDebug(s"Deferring push request for $remoteAddress with 
${request.blocks.size} blocks")
+        val defReqQueue = deferredPushRequests.getOrElse(remoteAddress, new 
Queue[PushRequest]())
+        defReqQueue.enqueue(request)
+        deferredPushRequests(remoteAddress) = defReqQueue
+      } else {
+        sendRequest(request)
+      }
+    }
+
+    def isRemoteBlockPushable(pushReqQueue: Queue[PushRequest]): Boolean = {
+      pushReqQueue.nonEmpty &&
+        (bytesInFlight == 0 ||
+          (reqsInFlight + 1 <= maxReqsInFlight &&
+            bytesInFlight + pushReqQueue.front.size <= maxBytesInFlight))
+    }
+
+    // Checks if sending a new push request will exceed the max no. of blocks 
being pushed to a
+    // given remote address.
+    def isRemoteAddressMaxedOut(remoteAddress: BlockManagerId, request: 
PushRequest): Boolean = {
+      (numBlocksInFlightPerAddress.getOrElse(remoteAddress, 0)
+        + request.blocks.size) > maxBlocksInFlightPerAddress
+    }
+  }
+
+  /**
+   * Push blocks to remote shuffle server. The callback listener will invoke 
#pushUpToMax again
+   * to trigger pushing the next batch of blocks once some block transfer is 
done in the current
+   * batch. This way, we decouple the map task from the block push process, 
since it is netty
+   * client thread instead of task execution thread which takes care of 
majority of the block
+   * pushes.
+   */
+  private def sendRequest(request: PushRequest): Unit = {
+    bytesInFlight = bytesInFlight + request.size
+    reqsInFlight = reqsInFlight + 1
+    numBlocksInFlightPerAddress(request.address) = 
numBlocksInFlightPerAddress.getOrElseUpdate(
+      request.address, 0) + request.blocks.length
+
+    val sizeMap = request.blocks.map { case (blockId, size) => 
(blockId.toString, size) }.toMap
+    val address = request.address
+    val blockIds = request.blocks.map(_._1.toString)
+    val remainingBlocks = new HashSet[String]() ++= blockIds
+
+    val blockPushListener = new BlockFetchingListener {
+      // Initiating a connection and pushing blocks to a remote shuffle 
service is always handled by
+      // the block-push-threads. We should not initiate the connection 
creation in the
+      // blockPushListener callbacks which are invoked by the netty eventloop 
because:
+      // 1. TrasportClient.createConnection(...) blocks for connection to be 
established and it's
+      // recommended to avoid any blocking operations in the eventloop;
+      // 2. The actual connection creation is a task that gets added to the 
task queue of another
+      // eventloop which could have eventloops eventually blocking each other.
+      // Once the blockPushListener is notified of the block push success or 
failure, we
+      // just delegate it to block-push-threads.
+      def handleResult(result: PushResult): Unit = {
+        submitTask(() => {
+          if (updateStateAndCheckIfPushMore(
+            sizeMap(result.blockId), address, remainingBlocks, result)) {
+            pushUpToMax()
+          }
+        })
+      }
+
+      override def onBlockFetchSuccess(blockId: String, data: ManagedBuffer): 
Unit = {
+        logTrace(s"Push for block $blockId to $address successful.")
+        handleResult(PushResult(blockId, null))
+      }
+
+      override def onBlockFetchFailure(blockId: String, exception: Throwable): 
Unit = {
+        // check the message or it's cause to see it needs to be logged.
+        if (!errorHandler.shouldLogError(exception)) {
+          logTrace(s"Pushing block $blockId to $address failed.", exception)
+        } else {
+          logWarning(s"Pushing block $blockId to $address failed.", exception)
+        }
+        handleResult(PushResult(blockId, exception))
+      }
+    }
+    SparkEnv.get.blockManager.blockStoreClient.pushBlocks(
+      address.host, address.port, blockIds.toArray,
+      sliceReqBufferIntoBlockBuffers(request.reqBuffer, 
request.blocks.map(_._2)),
+      blockPushListener)
+  }
+
+  /**
+   * Given the ManagedBuffer representing all the continuous blocks inside the 
shuffle data file
+   * for a PushRequest and an array of individual block sizes, load the buffer 
from disk into
+   * memory and slice it into multiple smaller buffers representing each block.
+   *
+   * With nio ByteBuffer, the individual block buffers share data with the 
initial in memory
+   * buffer loaded from disk. Thus only one copy of the block data is kept in 
memory.
+   * @param reqBuffer A {{FileSegmentManagedBuffer}} representing all the 
continuous blocks in
+   *                  the shuffle data file for a PushRequest
+   * @param blockSizes Array of block sizes
+   * @return Array of in memory buffer for each individual block
+   */
+  private def sliceReqBufferIntoBlockBuffers(
+      reqBuffer: ManagedBuffer,
+      blockSizes: Seq[Long]): Array[ManagedBuffer] = {
+    if (blockSizes.size == 1) {
+      Array(reqBuffer)
+    } else {
+      val inMemoryBuffer = reqBuffer.nioByteBuffer()
+      val blockOffsets = new Array[Long](blockSizes.size)
+      var offset = 0L
+      for (index <- blockSizes.indices) {
+        blockOffsets(index) = offset
+        offset += blockSizes(index)
+      }
+      blockOffsets.zip(blockSizes).map {
+        case (offset, size) =>
+          new NioManagedBuffer(inMemoryBuffer.duplicate()

Review comment:
       I thought `duplicate()` would duplicate the memory usage at the same 
time. But seems like they still share the same buffer. Looks fine.




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