spark HistoryServerMemoryManager 源码
spark HistoryServerMemoryManager 代码
文件路径：/core/src/main/scala/org/apache/spark/deploy/history/HistoryServerMemoryManager.scala
/*
* 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.deploy.history
import java.util.concurrent.atomic.AtomicLong
import scala.collection.mutable.HashMap
import org.apache.spark.SparkConf
import org.apache.spark.internal.Logging
import org.apache.spark.internal.config.History._
import org.apache.spark.util.Utils
/**
* A class used to keep track of in-memory store usage by the SHS.
*/
private class HistoryServerMemoryManager(
conf: SparkConf) extends Logging {
private val maxUsage = conf.get(MAX_IN_MEMORY_STORE_USAGE)
// Visible for testing.
private[history] val currentUsage = new AtomicLong(0L)
private[history] val active = new HashMap[(String, Option[String]), Long]()
def initialize(): Unit = {
logInfo("Initialized memory manager: " +
s"current usage = ${Utils.bytesToString(currentUsage.get())}, " +
s"max usage = ${Utils.bytesToString(maxUsage)}")
}
def lease(
appId: String,
attemptId: Option[String],
eventLogSize: Long,
codec: Option[String]): Unit = {
val memoryUsage = approximateMemoryUsage(eventLogSize, codec)
if (memoryUsage + currentUsage.get > maxUsage) {
throw new RuntimeException("Not enough memory to create hybrid store " +
s"for app $appId / $attemptId.")
}
active.synchronized {
active(appId -> attemptId) = memoryUsage
}
currentUsage.addAndGet(memoryUsage)
logInfo(s"Leasing ${Utils.bytesToString(memoryUsage)} memory usage for " +
s"app $appId / $attemptId")
}
def release(appId: String, attemptId: Option[String]): Unit = {
val memoryUsage = active.synchronized { active.remove(appId -> attemptId) }
memoryUsage match {
case Some(m) =>
currentUsage.addAndGet(-m)
logInfo(s"Released ${Utils.bytesToString(m)} memory usage for " +
s"app $appId / $attemptId")
case None =>
}
}
private def approximateMemoryUsage(eventLogSize: Long, codec: Option[String]): Long = {
codec match {
case Some("zstd") =>
eventLogSize * 10
case Some(_) =>
eventLogSize * 4
case None =>
eventLogSize / 2
}
}
}
相关信息
相关文章
spark ApplicationHistoryProvider 源码
spark BasicEventFilterBuilder 源码
spark EventLogFileCompactor 源码
0
赞
- 所属分类： 前端技术
- 本文标签：
热门推荐
-
2、 - 优质文章
-
3、 gate.io
-
6、 golang
-
7、 openharmony