Github user tdas commented on a diff in the pull request: https://github.com/apache/spark/pull/7600#discussion_r35399259 --- Diff: streaming/src/main/scala/org/apache/spark/streaming/scheduler/RateController.scala --- @@ -0,0 +1,68 @@ +/* + * 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 java.util.concurrent.atomic.AtomicLong + +import scala.concurrent.{ExecutionContext, Future} + +import org.apache.spark.streaming.scheduler.rate.RateEstimator +import org.apache.spark.util.ThreadUtils + +/** + * A StreamingListener that receives batch completion updates, and maintains + * an estimate of the speed at which this stream should ingest messages, + * given an estimate computation from a `RateEstimator` + */ +private [streaming] abstract class RateController(val streamUID: Int, rateEstimator: RateEstimator) + extends StreamingListener with Serializable { + + protected def publish(rate: Long): Unit + + // Used to compute & publish the rate update asynchronously + @transient + implicit private val executionContext = ExecutionContext.fromExecutorService( + ThreadUtils.newDaemonSingleThreadExecutor("stream-rate-update")) + + private val rateLimit: AtomicLong = new AtomicLong(-1L) + + /** + * Compute the new rate limit and publish it asynchronously. + */ + private def computeAndPublish(time: Long, elems: Long, workDelay: Long, waitDelay: Long): Unit = + Future[Unit] { + val newSpeed = rateEstimator.compute(time, elems, workDelay, waitDelay) --- End diff -- newSpeed --> newRate
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