/** * 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 * 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.mapreduce.v2.app.speculate; public class DataStatistics { private int count = 0; private double sum = 0; private double sumSquares = 0; public DataStatistics() { } public DataStatistics(double initNum) { this.count = 1; this.sum = initNum; this.sumSquares = initNum * initNum; } public synchronized void add(double newNum) { this.count++; this.sum += newNum; this.sumSquares += newNum * newNum; } public synchronized void updateStatistics(double old, double update) { this.sum += update - old; this.sumSquares += (update * update) - (old * old); } public synchronized double mean() { return count == 0 ? 0.0 : sum/count; } public synchronized double var() { // E(X^2) - E(X)^2 if (count <= 1) { return 0.0; } double mean = mean(); return Math.max((sumSquares/count) - mean * mean, 0.0d); } public synchronized double std() { return Math.sqrt(this.var()); } public synchronized double outlier(float sigma) { if (count != 0.0) { return mean() + std() * sigma; } return 0.0; } public synchronized double count() { return count; } public String toString() { return "DataStatistics: count is " + count + ", sum is " + sum + ", sumSquares is " + sumSquares + " mean is " + mean() + " std() is " + std(); } }