Kalvin2077 commented on code in PR #3858: URL: https://github.com/apache/celeborn/pull/3858#discussion_r4451507157
########## worker/src/main/scala/org/apache/celeborn/service/deploy/worker/metrics/DefaultScaleMetricCollector.scala: ########## @@ -0,0 +1,111 @@ +/* + * 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.celeborn.service.deploy.worker.metrics + +import java.lang.management.{ManagementFactory, OperatingSystemMXBean} +import java.util.concurrent.{ScheduledFuture, TimeUnit} + +import scala.util.control.NonFatal + +import org.apache.celeborn.common.CelebornConf +import org.apache.celeborn.common.internal.Logging +import org.apache.celeborn.common.metrics.WorkerStats +import org.apache.celeborn.common.util.{DiskUtils, ThreadUtils} +import org.apache.celeborn.service.deploy.worker.Worker + +class DefaultScaleMetricCollector private[metrics] ( + conf: CelebornConf, + operatingSystem: OperatingSystemMXBean) + extends ScaleMetricCollector with Logging { + + def this(conf: CelebornConf) = + this(conf, ManagementFactory.getOperatingSystemMXBean) + + private val memoryWindow = new MetricSlidingWindow(conf.scaleMetricMemoryWindowSize) + private val executor = + ThreadUtils.newDaemonSingleThreadScheduledExecutor("scale-metric-collector") + private var scheduledTask: ScheduledFuture[_] = _ + + @volatile private var stopped = false + @volatile private var currentStats: Option[WorkerStats] = None + + override def init(worker: Worker): Unit = synchronized { + require(!stopped && scheduledTask == null, "Metric collector can only be initialized once") + scheduledTask = executor.scheduleWithFixedDelay( + new Runnable { + override def run(): Unit = collectOnce(worker) + }, + conf.scaleMetricInterval, + conf.scaleMetricInterval, + TimeUnit.MILLISECONDS) + } + + override def stop(): Unit = synchronized { + stopped = true + currentStats = None + if (scheduledTask != null) { + scheduledTask.cancel(true) + } + executor.shutdownNow() + } + + override def currentWorkerStats(): Option[WorkerStats] = { + if (stopped) None + else currentStats + } + + private[metrics] def collectOnce(worker: Worker): Unit = { + try { + val metrics = memoryMetrics(worker) ++ systemLoadMetrics() ++ diskMetrics(worker) + currentStats = Some(WorkerStats(metrics)) + } catch { + case NonFatal(e) => + logWarning("Failed to collect worker scaling metrics", e) + } + } + + private def memoryMetrics(worker: Worker): Map[String, Double] = { + val capacity = worker.memoryManager.maxDirectMemory + val used = worker.memoryManager.getMemoryUsage + memoryWindow.update(used) + Map(WorkerStats.NettyMemoryUsedRatio -> (memoryWindow.average / capacity)) Review Comment: Renamed the metric to `MemoryPressureRatio`. Its numerator follows `MemoryManager` pressure accounting: Netty-tracked direct memory plus sorting reservations. Since reservations are not necessarily allocated memory and Netty does not track every direct allocation, this is not total actual direct memory usage. The calculation remains unchanged. Updated documentation and tests to make the accounting scope explicit. -- This is an automated message from the Apache Git Service. To respond to the message, please log on to GitHub and use the URL above to go to the specific comment. To unsubscribe, e-mail: [email protected] For queries about this service, please contact Infrastructure at: [email protected]
