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comparison src/org/eclipse/jetty/util/statistic/SampleStatistic.java @ 802:3428c60d7cfc
replace jetty jars with source
author | Franklin Schmidt <fschmidt@gmail.com> |
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date | Wed, 07 Sep 2016 21:15:48 -0600 |
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801:6a21393191c1 | 802:3428c60d7cfc |
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1 // | |
2 // ======================================================================== | |
3 // Copyright (c) 1995-2014 Mort Bay Consulting Pty. Ltd. | |
4 // ------------------------------------------------------------------------ | |
5 // All rights reserved. This program and the accompanying materials | |
6 // are made available under the terms of the Eclipse Public License v1.0 | |
7 // and Apache License v2.0 which accompanies this distribution. | |
8 // | |
9 // The Eclipse Public License is available at | |
10 // http://www.eclipse.org/legal/epl-v10.html | |
11 // | |
12 // The Apache License v2.0 is available at | |
13 // http://www.opensource.org/licenses/apache2.0.php | |
14 // | |
15 // You may elect to redistribute this code under either of these licenses. | |
16 // ======================================================================== | |
17 // | |
18 | |
19 package org.eclipse.jetty.util.statistic; | |
20 | |
21 import java.util.concurrent.atomic.AtomicLong; | |
22 | |
23 import org.eclipse.jetty.util.Atomics; | |
24 | |
25 | |
26 /* ------------------------------------------------------------ */ | |
27 /** | |
28 * SampledStatistics | |
29 * <p> | |
30 * Provides max, total, mean, count, variance, and standard | |
31 * deviation of continuous sequence of samples. | |
32 * <p> | |
33 * Calculates estimates of mean, variance, and standard deviation | |
34 * characteristics of a sample using a non synchronized | |
35 * approximation of the on-line algorithm presented | |
36 * in Donald Knuth's Art of Computer Programming, Volume 2, | |
37 * Seminumerical Algorithms, 3rd edition, page 232, | |
38 * Boston: Addison-Wesley. that cites a 1962 paper by B.P. Welford | |
39 * that can be found by following the link http://www.jstor.org/pss/1266577 | |
40 * <p> | |
41 * This algorithm is also described in Wikipedia at | |
42 * http://en.wikipedia.org/w/index.php?title=Algorithms_for_calculating_variance§ion=4#On-line_algorithm | |
43 */ | |
44 public class SampleStatistic | |
45 { | |
46 protected final AtomicLong _max = new AtomicLong(); | |
47 protected final AtomicLong _total = new AtomicLong(); | |
48 protected final AtomicLong _count = new AtomicLong(); | |
49 protected final AtomicLong _totalVariance100 = new AtomicLong(); | |
50 | |
51 public void reset() | |
52 { | |
53 _max.set(0); | |
54 _total.set(0); | |
55 _count.set(0); | |
56 _totalVariance100.set(0); | |
57 } | |
58 | |
59 public void set(final long sample) | |
60 { | |
61 long total = _total.addAndGet(sample); | |
62 long count = _count.incrementAndGet(); | |
63 | |
64 if (count>1) | |
65 { | |
66 long mean10 = total*10/count; | |
67 long delta10 = sample*10 - mean10; | |
68 _totalVariance100.addAndGet(delta10*delta10); | |
69 } | |
70 | |
71 Atomics.updateMax(_max, sample); | |
72 } | |
73 | |
74 /** | |
75 * @return the max value | |
76 */ | |
77 public long getMax() | |
78 { | |
79 return _max.get(); | |
80 } | |
81 | |
82 public long getTotal() | |
83 { | |
84 return _total.get(); | |
85 } | |
86 | |
87 public long getCount() | |
88 { | |
89 return _count.get(); | |
90 } | |
91 | |
92 public double getMean() | |
93 { | |
94 return (double)_total.get()/_count.get(); | |
95 } | |
96 | |
97 public double getVariance() | |
98 { | |
99 final long variance100 = _totalVariance100.get(); | |
100 final long count = _count.get(); | |
101 | |
102 return count>1?((double)variance100)/100.0/(count-1):0.0; | |
103 } | |
104 | |
105 public double getStdDev() | |
106 { | |
107 return Math.sqrt(getVariance()); | |
108 } | |
109 } |