hadoop CumulativePeriodicStats 源码

  • 2022-10-20
  • 浏览 (171)

haddop CumulativePeriodicStats 代码

文件路径:/hadoop-mapreduce-project/hadoop-mapreduce-client/hadoop-mapreduce-client-core/src/main/java/org/apache/hadoop/mapred/CumulativePeriodicStats.java

/**
 * 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.hadoop.mapred;

/**
 *
 * This class is a concrete PeriodicStatsAccumulator that deals with
 *  measurements where the raw data are a measurement of an
 *  accumulation.  The result in each bucket is the estimate 
 *  of the progress-weighted change in that quantity over the
 *  progress range covered by the bucket.
 *
 * <p>An easy-to-understand example of this kind of quantity would be
 *  a distance traveled.  It makes sense to consider that portion of
 *  the total travel that can be apportioned to each bucket.
 *
 */
class CumulativePeriodicStats extends PeriodicStatsAccumulator {
  // int's are acceptable here, even though times are normally
  // long's, because these are a difference and an int won't
  // overflow for 24 days.  Tasks can't run for more than about a
  // week for other reasons, and most jobs would be written 
  int previousValue = 0;

  CumulativePeriodicStats(int count) {
    super(count);
  }

  /**
   *
   * accumulates a new reading by keeping a running account of the
   *  value distance from the beginning of the bucket to the end of
   *  this reading
   */
  @Override
    protected void extendInternal(double newProgress, int newValue) {
    if (state == null) {
      return;
    }

    state.currentAccumulation += (double)(newValue - previousValue);
    previousValue = newValue;
  }
}

相关信息

hadoop 源码目录

相关文章

hadoop AMFeedback 源码

hadoop BackupStore 源码

hadoop BasicTypeSorterBase 源码

hadoop BufferSorter 源码

hadoop CleanupQueue 源码

hadoop Clock 源码

hadoop ClusterStatus 源码

hadoop Counters 源码

hadoop DeprecatedQueueConfigurationParser 源码

hadoop FileAlreadyExistsException 源码

0  赞