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[Spark-22008][Streaming]Spark Streaming Dynamic Allocation auto fix maxNumExecutors #19233

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[Spark-22008][Streaming]Spark Streaming Dynamic Allocation auto fix maxNumExecutors #19233

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18 changes: 16 additions & 2 deletions ...aming/src/main/scala/org/apache/spark/streaming/scheduler/ExecutorAllocationManager.scala
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Original file line number Diff line number Diff line change
Expand Up @@ -22,6 +22,7 @@ import scala.util.Random

import org.apache.spark.{ExecutorAllocationClient, SparkConf}
import org.apache.spark.internal.Logging
import org.apache.spark.scheduler.{SparkListener, SparkListenerStageSubmitted}
import org.apache.spark.streaming.util.RecurringTimer
import org.apache.spark.util.{Clock, Utils}

Expand Down Expand Up @@ -49,7 +50,7 @@ private[streaming] class ExecutorAllocationManager(
receiverTracker: ReceiverTracker,
conf: SparkConf,
batchDurationMs: Long,
clock: Clock) extends StreamingListener with Logging {
clock: Clock) extends SparkListener with StreamingListener with Logging {

import ExecutorAllocationManager._

Expand All @@ -61,13 +62,17 @@ private[streaming] class ExecutorAllocationManager(
private val minNumExecutors = conf.getInt(
MIN_EXECUTORS_KEY,
math.max(1, receiverTracker.numReceivers))
private val maxNumExecutors = conf.getInt(MAX_EXECUTORS_KEY, Integer.MAX_VALUE)
private var maxNumExecutors = conf.getInt(MAX_EXECUTORS_KEY, Integer.MAX_VALUE)
private val timer = new RecurringTimer(clock, scalingIntervalSecs * 1000,
_ => manageAllocation(), "streaming-executor-allocation-manager")

@volatile private var batchProcTimeSum = 0L
@volatile private var batchProcTimeCount = 0

private val conCurrentJobs = conf.getInt("spark.streaming.concurrentJobs", 1)
private val cpuPerTask = conf.getInt("spark.task.cpus", 1)
private val coresPerExecutor = conf.getOption("spark.executor.cores").map(_.toInt).getOrElse(1)

validateSettings()

def start(): Unit = {
Expand Down Expand Up @@ -183,6 +188,15 @@ private[streaming] class ExecutorAllocationManager(
batchCompleted.batchInfo.processingDelay.foreach(addBatchProcTime)
}
}

override def onStageSubmitted(stageSubmitted: SparkListenerStageSubmitted): Unit = {
val numTasks = stageSubmitted.stageInfo.numTasks
val curNumExecutors = numTasks * conCurrentJobs * cpuPerTask / coresPerExecutor
if(curNumExecutors > maxNumExecutors) {
maxNumExecutors = curNumExecutors
logInfo(s"change maxNumExecutor to [$maxNumExecutors]")
}
}
}

private[streaming] object ExecutorAllocationManager extends Logging {
Expand Down