Github user witgo commented on a diff in the pull request:
https://github.com/apache/spark/pull/12113#discussion_r58641966
--- Diff: core/src/main/scala/org/apache/spark/MapOutputTracker.scala ---
@@ -296,10 +290,89 @@ private[spark] class MapOutputTrackerMaster(conf:
SparkConf)
protected val mapStatuses = new ConcurrentHashMap[Int,
Array[MapStatus]]().asScala
private val cachedSerializedStatuses = new ConcurrentHashMap[Int,
Array[Byte]]().asScala
+ private val maxRpcMessageSize = RpcUtils.maxMessageSizeBytes(conf)
+
+ // Kept in sync with cachedSerializedStatuses explicitly
+ // This is required so that the Broadcast variable remains in scope
until we remove
+ // the shuffleId explicitly or implicitly.
+ private val cachedSerializedBroadcast = new HashMap[Int,
Broadcast[Array[Byte]]]()
+
+ // This is to prevent multiple serializations of the same shuffle -
which happens when
+ // there is a request storm when shuffle start.
+ private val shuffleIdLocks = new ConcurrentHashMap[Int, AnyRef]()
+
+ // requests for map output statuses
+ private val mapOutputRequests = new
LinkedBlockingQueue[GetMapOutputMessage]
+
+ // Thread pool used for handling map output status requests. This is a
separate thread pool
+ // to ensure we don't block the normal dispatcher threads.
+ private val threadpool: ThreadPoolExecutor = {
+ val numThreads =
conf.getInt("spark.shuffle.mapOutput.dispatcher.numThreads", 8)
+ val pool = ThreadUtils.newDaemonFixedThreadPool(numThreads,
"map-output-dispatcher")
+ for (i <- 0 until numThreads) {
+ pool.execute(new MessageLoop)
+ }
+ pool
+ }
+
+ def post(message: GetMapOutputMessage): Unit = {
+ mapOutputRequests.offer(message)
+ }
+
+ /** Message loop used for dispatching messages. */
+ private class MessageLoop extends Runnable {
+ override def run(): Unit = {
+ try {
+ while (true) {
+ try {
+ val data = mapOutputRequests.take()
+ if (data == PoisonPill) {
+ // Put PoisonPill back so that other MessageLoops can see it.
+ mapOutputRequests.offer(PoisonPill)
+ return
+ }
+ val context = data.context
+ val shuffleId = data.shuffleId
+ val hostPort = context.senderAddress.hostPort
+ logDebug("Handling request to send map output locations for
shuffle " + shuffleId +
+ " to " + hostPort)
+ val mapOutputStatuses =
getSerializedMapOutputStatuses(shuffleId)
--- End diff --
> Are you saying 7 additional seconds on top of the serialization?
I mean, calling `getSerializedMapOutputStatuses` takes seven seconds ,but
this is not accurate, is estimated with the production logs.
> What is your timeout set at?
By default, no change.
> How long is it taking for the entire serialization (even without this
change)?
The master branch throws
```
org.apache.spark.shuffle.FetchFailedException: java.lang.OutOfMemoryError:
Direct buffer memory
```
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