Github user tdas commented on a diff in the pull request:
https://github.com/apache/spark/pull/7276#discussion_r34528827
--- Diff:
streaming/src/main/scala/org/apache/spark/streaming/scheduler/ReceiverScheduler.scala
---
@@ -0,0 +1,87 @@
+/*
+ * 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.streaming.scheduler
+
+import scala.collection.mutable
+import scala.util.Random
+
+import org.apache.spark.streaming.scheduler.ReceiverState._
+
+private[streaming] case class ReceiverTrackingInfo(
+ receiverId: Int,
+ state: ReceiverState,
+ scheduledLocations: Option[Seq[String]],
+ runningLocation: Option[String])
+
+private[streaming] trait ReceiverScheduler {
+
+ /**
+ * Return a candidate executor list to run the receiver. If the list is
empty, the caller can run
+ * this receiver in arbitrary executor.
+ */
+ def scheduleReceiver(
+ receiverId: Int,
+ preferredLocation: Option[String],
+ receiverTrackingInfoMap: Map[Int, ReceiverTrackingInfo],
+ executors: Seq[String]): Seq[String]
+}
+
+/**
+ * A ReceiverScheduler trying to balance executors' load.
+ */
+private[streaming] class LoadBalanceReceiverSchedulerImpl extends
ReceiverScheduler {
+
+ def scheduleReceiver(
+ receiverId: Int,
+ preferredLocation: Option[String],
+ receiverTrackingInfoMap: Map[Int, ReceiverTrackingInfo],
+ executors: Seq[String]): Seq[String] = {
+ if (executors.isEmpty) {
+ return Seq.empty
+ }
+
+ // Always try to schedule to the preferred locations
+ val locations = mutable.Set[String]()
+ locations ++= preferredLocation
+
+ val executorWeights = receiverTrackingInfoMap.filter { case (id, _) =>
+ // Ignore the receiver to be scheduled. It may be still running.
+ id != receiverId
+ }.values.flatMap { receiverTrackingInfo =>
+ receiverTrackingInfo.state match {
+ case ReceiverState.INACTIVE => Nil
+ case ReceiverState.SCHEDULED =>
+ val scheduledLocations =
receiverTrackingInfo.scheduledLocations.get
+ // The probability that a scheduled receiver will run in an
executor is
+ // 1.0 / scheduledLocations.size
+ scheduledLocations.map(location => (location, 1.0 /
scheduledLocations.size))
+ case ReceiverState.ACTIVE =>
Seq(receiverTrackingInfo.runningLocation.get -> 1.0)
+ }
+ }.groupBy(_._1).mapValues(_.map(_._2).sum) // Sum weights for each
executor
--- End diff --
perf really isnt a factor. The max cardinality that I can imagine for any
of these is 100s.
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