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<pre><span class="sourceLineNo">001</span>/*<a name="line.1"></a>
<span class="sourceLineNo">002</span> * Licensed to the Apache Software Foundation (ASF) under one<a name="line.2"></a>
<span class="sourceLineNo">003</span> * or more contributor license agreements. See the NOTICE file<a name="line.3"></a>
<span class="sourceLineNo">004</span> * distributed with this work for additional information<a name="line.4"></a>
<span class="sourceLineNo">005</span> * regarding copyright ownership. The ASF licenses this file<a name="line.5"></a>
<span class="sourceLineNo">006</span> * to you under the Apache License, Version 2.0 (the<a name="line.6"></a>
<span class="sourceLineNo">007</span> * "License"); you may not use this file except in compliance<a name="line.7"></a>
<span class="sourceLineNo">008</span> * with the License. You may obtain a copy of the License at<a name="line.8"></a>
<span class="sourceLineNo">009</span> *<a name="line.9"></a>
<span class="sourceLineNo">010</span> * http://www.apache.org/licenses/LICENSE-2.0<a name="line.10"></a>
<span class="sourceLineNo">011</span> *<a name="line.11"></a>
<span class="sourceLineNo">012</span> * Unless required by applicable law or agreed to in writing, software<a name="line.12"></a>
<span class="sourceLineNo">013</span> * distributed under the License is distributed on an "AS IS" BASIS,<a name="line.13"></a>
<span class="sourceLineNo">014</span> * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.<a name="line.14"></a>
<span class="sourceLineNo">015</span> * See the License for the specific language governing permissions and<a name="line.15"></a>
<span class="sourceLineNo">016</span> * limitations under the License.<a name="line.16"></a>
<span class="sourceLineNo">017</span> */<a name="line.17"></a>
<span class="sourceLineNo">018</span>package org.apache.hadoop.hbase.util;<a name="line.18"></a>
<span class="sourceLineNo">019</span><a name="line.19"></a>
<span class="sourceLineNo">020</span>import org.apache.hadoop.hbase.HBaseClassTestRule;<a name="line.20"></a>
<span class="sourceLineNo">021</span>import org.apache.hadoop.hbase.testclassification.SmallTests;<a name="line.21"></a>
<span class="sourceLineNo">022</span>import org.junit.Assert;<a name="line.22"></a>
<span class="sourceLineNo">023</span>import org.junit.ClassRule;<a name="line.23"></a>
<span class="sourceLineNo">024</span>import org.junit.Rule;<a name="line.24"></a>
<span class="sourceLineNo">025</span>import org.junit.Test;<a name="line.25"></a>
<span class="sourceLineNo">026</span>import org.junit.experimental.categories.Category;<a name="line.26"></a>
<span class="sourceLineNo">027</span>import org.junit.rules.TestName;<a name="line.27"></a>
<span class="sourceLineNo">028</span><a name="line.28"></a>
<span class="sourceLineNo">029</span>@Category(SmallTests.class)<a name="line.29"></a>
<span class="sourceLineNo">030</span>public class TestMovingAverage {<a name="line.30"></a>
<span class="sourceLineNo">031</span><a name="line.31"></a>
<span class="sourceLineNo">032</span> @ClassRule<a name="line.32"></a>
<span class="sourceLineNo">033</span> public static final HBaseClassTestRule CLASS_RULE =<a name="line.33"></a>
<span class="sourceLineNo">034</span> HBaseClassTestRule.forClass(TestMovingAverage.class);<a name="line.34"></a>
<span class="sourceLineNo">035</span><a name="line.35"></a>
<span class="sourceLineNo">036</span> @Rule<a name="line.36"></a>
<span class="sourceLineNo">037</span> public TestName name = new TestName();<a name="line.37"></a>
<span class="sourceLineNo">038</span><a name="line.38"></a>
<span class="sourceLineNo">039</span> private long[] data = { 1, 12, 13, 24, 25, 26, 37, 38, 39, 40 };<a name="line.39"></a>
<span class="sourceLineNo">040</span> private double delta = 0.1;<a name="line.40"></a>
<span class="sourceLineNo">041</span><a name="line.41"></a>
<span class="sourceLineNo">042</span> @Test<a name="line.42"></a>
<span class="sourceLineNo">043</span> public void testSimpleMovingAverage() throws Exception {<a name="line.43"></a>
<span class="sourceLineNo">044</span> MovingAverage&lt;?&gt; algorithm = new SimpleMovingAverage(name.getMethodName());<a name="line.44"></a>
<span class="sourceLineNo">045</span> int index = 0;<a name="line.45"></a>
<span class="sourceLineNo">046</span> // [1, 12, 13, 24]<a name="line.46"></a>
<span class="sourceLineNo">047</span> int bound = 4;<a name="line.47"></a>
<span class="sourceLineNo">048</span> for (; index &lt; bound; index++) {<a name="line.48"></a>
<span class="sourceLineNo">049</span> algorithm.updateMostRecentTime(data[index]);<a name="line.49"></a>
<span class="sourceLineNo">050</span> }<a name="line.50"></a>
<span class="sourceLineNo">051</span> Assert.assertEquals(12.5, algorithm.getAverageTime(), delta);<a name="line.51"></a>
<span class="sourceLineNo">052</span> // [1, 12, 13, 24, 25]<a name="line.52"></a>
<span class="sourceLineNo">053</span> bound = 5;<a name="line.53"></a>
<span class="sourceLineNo">054</span> for (; index &lt; bound; index++) {<a name="line.54"></a>
<span class="sourceLineNo">055</span> algorithm.updateMostRecentTime(data[index]);<a name="line.55"></a>
<span class="sourceLineNo">056</span> }<a name="line.56"></a>
<span class="sourceLineNo">057</span> Assert.assertEquals(15.0, algorithm.getAverageTime(), delta);<a name="line.57"></a>
<span class="sourceLineNo">058</span> // [1, 12, 13, 24, 25, 26, 37, 38]<a name="line.58"></a>
<span class="sourceLineNo">059</span> bound = 8;<a name="line.59"></a>
<span class="sourceLineNo">060</span> for (; index &lt; bound; index++) {<a name="line.60"></a>
<span class="sourceLineNo">061</span> algorithm.updateMostRecentTime(data[index]);<a name="line.61"></a>
<span class="sourceLineNo">062</span> }<a name="line.62"></a>
<span class="sourceLineNo">063</span> Assert.assertEquals(22.0, algorithm.getAverageTime(), delta);<a name="line.63"></a>
<span class="sourceLineNo">064</span> // [1, 12, 13, 24, 25, 26, 37, 38, 39, 40]<a name="line.64"></a>
<span class="sourceLineNo">065</span> for (; index &lt; data.length; index++) {<a name="line.65"></a>
<span class="sourceLineNo">066</span> algorithm.updateMostRecentTime(data[index]);<a name="line.66"></a>
<span class="sourceLineNo">067</span> }<a name="line.67"></a>
<span class="sourceLineNo">068</span> Assert.assertEquals(25.5, algorithm.getAverageTime(), delta);<a name="line.68"></a>
<span class="sourceLineNo">069</span> }<a name="line.69"></a>
<span class="sourceLineNo">070</span><a name="line.70"></a>
<span class="sourceLineNo">071</span> @Test<a name="line.71"></a>
<span class="sourceLineNo">072</span> public void testWindowMovingAverage() throws Exception {<a name="line.72"></a>
<span class="sourceLineNo">073</span> // Default size is 5.<a name="line.73"></a>
<span class="sourceLineNo">074</span> MovingAverage&lt;?&gt; algorithm = new WindowMovingAverage(name.getMethodName());<a name="line.74"></a>
<span class="sourceLineNo">075</span> int index = 0;<a name="line.75"></a>
<span class="sourceLineNo">076</span> // [1, 12, 13, 24]<a name="line.76"></a>
<span class="sourceLineNo">077</span> int bound = 4;<a name="line.77"></a>
<span class="sourceLineNo">078</span> for (; index &lt; bound; index++) {<a name="line.78"></a>
<span class="sourceLineNo">079</span> algorithm.updateMostRecentTime(data[index]);<a name="line.79"></a>
<span class="sourceLineNo">080</span> }<a name="line.80"></a>
<span class="sourceLineNo">081</span> Assert.assertEquals(12.5, algorithm.getAverageTime(), delta);<a name="line.81"></a>
<span class="sourceLineNo">082</span> // [1, 12, 13, 24, 25]<a name="line.82"></a>
<span class="sourceLineNo">083</span> bound = 5;<a name="line.83"></a>
<span class="sourceLineNo">084</span> for (; index &lt; bound; index++) {<a name="line.84"></a>
<span class="sourceLineNo">085</span> algorithm.updateMostRecentTime(data[index]);<a name="line.85"></a>
<span class="sourceLineNo">086</span> }<a name="line.86"></a>
<span class="sourceLineNo">087</span> Assert.assertEquals(15.0, algorithm.getAverageTime(), delta);<a name="line.87"></a>
<span class="sourceLineNo">088</span> // [24, 25, 26, 37, 38]<a name="line.88"></a>
<span class="sourceLineNo">089</span> bound = 8;<a name="line.89"></a>
<span class="sourceLineNo">090</span> for (; index &lt; bound; index++) {<a name="line.90"></a>
<span class="sourceLineNo">091</span> algorithm.updateMostRecentTime(data[index]);<a name="line.91"></a>
<span class="sourceLineNo">092</span> }<a name="line.92"></a>
<span class="sourceLineNo">093</span> Assert.assertEquals(30.0, algorithm.getAverageTime(), delta);<a name="line.93"></a>
<span class="sourceLineNo">094</span> // [26, 37, 38, 39, 40]<a name="line.94"></a>
<span class="sourceLineNo">095</span> for (; index &lt; data.length; index++) {<a name="line.95"></a>
<span class="sourceLineNo">096</span> algorithm.updateMostRecentTime(data[index]);<a name="line.96"></a>
<span class="sourceLineNo">097</span> }<a name="line.97"></a>
<span class="sourceLineNo">098</span> Assert.assertEquals(36.0, algorithm.getAverageTime(), delta);<a name="line.98"></a>
<span class="sourceLineNo">099</span> }<a name="line.99"></a>
<span class="sourceLineNo">100</span><a name="line.100"></a>
<span class="sourceLineNo">101</span> @Test<a name="line.101"></a>
<span class="sourceLineNo">102</span> public void testWeightedMovingAverage() throws Exception {<a name="line.102"></a>
<span class="sourceLineNo">103</span> // Default size is 5.<a name="line.103"></a>
<span class="sourceLineNo">104</span> MovingAverage&lt;?&gt; algorithm = new WeightedMovingAverage(name.getMethodName());<a name="line.104"></a>
<span class="sourceLineNo">105</span> int index = 0;<a name="line.105"></a>
<span class="sourceLineNo">106</span> // [1, 12, 13, 24]<a name="line.106"></a>
<span class="sourceLineNo">107</span> int bound = 4;<a name="line.107"></a>
<span class="sourceLineNo">108</span> for (; index &lt; bound; index++) {<a name="line.108"></a>
<span class="sourceLineNo">109</span> algorithm.updateMostRecentTime(data[index]);<a name="line.109"></a>
<span class="sourceLineNo">110</span> }<a name="line.110"></a>
<span class="sourceLineNo">111</span> Assert.assertEquals(12.5, algorithm.getAverageTime(), delta);<a name="line.111"></a>
<span class="sourceLineNo">112</span> // [1, 12, 13, 24, 25]<a name="line.112"></a>
<span class="sourceLineNo">113</span> bound = 5;<a name="line.113"></a>
<span class="sourceLineNo">114</span> for (; index &lt; bound; index++) {<a name="line.114"></a>
<span class="sourceLineNo">115</span> algorithm.updateMostRecentTime(data[index]);<a name="line.115"></a>
<span class="sourceLineNo">116</span> }<a name="line.116"></a>
<span class="sourceLineNo">117</span> Assert.assertEquals(15.0, algorithm.getAverageTime(), delta);<a name="line.117"></a>
<span class="sourceLineNo">118</span> // [24, 25, 26, 37, 38]<a name="line.118"></a>
<span class="sourceLineNo">119</span> bound = 8;<a name="line.119"></a>
<span class="sourceLineNo">120</span> for (; index &lt; bound; index++) {<a name="line.120"></a>
<span class="sourceLineNo">121</span> algorithm.updateMostRecentTime(data[index]);<a name="line.121"></a>
<span class="sourceLineNo">122</span> }<a name="line.122"></a>
<span class="sourceLineNo">123</span> Assert.assertEquals(32.67, algorithm.getAverageTime(), delta);<a name="line.123"></a>
<span class="sourceLineNo">124</span> // [26, 37, 38, 39, 40]<a name="line.124"></a>
<span class="sourceLineNo">125</span> for (; index &lt; data.length; index++) {<a name="line.125"></a>
<span class="sourceLineNo">126</span> algorithm.updateMostRecentTime(data[index]);<a name="line.126"></a>
<span class="sourceLineNo">127</span> }<a name="line.127"></a>
<span class="sourceLineNo">128</span> Assert.assertEquals(38.0, algorithm.getAverageTime(), delta);<a name="line.128"></a>
<span class="sourceLineNo">129</span> }<a name="line.129"></a>
<span class="sourceLineNo">130</span><a name="line.130"></a>
<span class="sourceLineNo">131</span> @Test<a name="line.131"></a>
<span class="sourceLineNo">132</span> public void testExponentialMovingAverage() throws Exception {<a name="line.132"></a>
<span class="sourceLineNo">133</span> // [1, 12, 13, 24, 25, 26, 37, 38, 39, 40]<a name="line.133"></a>
<span class="sourceLineNo">134</span> MovingAverage&lt;?&gt; algorithm = new ExponentialMovingAverage(name.getMethodName());<a name="line.134"></a>
<span class="sourceLineNo">135</span> int index = 0;<a name="line.135"></a>
<span class="sourceLineNo">136</span> int bound = 5;<a name="line.136"></a>
<span class="sourceLineNo">137</span> for (; index &lt; bound; index++) {<a name="line.137"></a>
<span class="sourceLineNo">138</span> algorithm.updateMostRecentTime(data[index]);<a name="line.138"></a>
<span class="sourceLineNo">139</span> }<a name="line.139"></a>
<span class="sourceLineNo">140</span> Assert.assertEquals(15.0, algorithm.getAverageTime(), delta);<a name="line.140"></a>
<span class="sourceLineNo">141</span> bound = 6;<a name="line.141"></a>
<span class="sourceLineNo">142</span> for (; index &lt; bound; index++) {<a name="line.142"></a>
<span class="sourceLineNo">143</span> algorithm.updateMostRecentTime(data[index]);<a name="line.143"></a>
<span class="sourceLineNo">144</span> }<a name="line.144"></a>
<span class="sourceLineNo">145</span> Assert.assertEquals(18.67, algorithm.getAverageTime(), delta);<a name="line.145"></a>
<span class="sourceLineNo">146</span> bound = 8;<a name="line.146"></a>
<span class="sourceLineNo">147</span> for (; index &lt; bound; index++) {<a name="line.147"></a>
<span class="sourceLineNo">148</span> algorithm.updateMostRecentTime(data[index]);<a name="line.148"></a>
<span class="sourceLineNo">149</span> }<a name="line.149"></a>
<span class="sourceLineNo">150</span> Assert.assertEquals(29.16, algorithm.getAverageTime(), delta);<a name="line.150"></a>
<span class="sourceLineNo">151</span> for (; index &lt; data.length; index++) {<a name="line.151"></a>
<span class="sourceLineNo">152</span> algorithm.updateMostRecentTime(data[index]);<a name="line.152"></a>
<span class="sourceLineNo">153</span> }<a name="line.153"></a>
<span class="sourceLineNo">154</span> Assert.assertEquals(34.97, algorithm.getAverageTime(), delta);<a name="line.154"></a>
<span class="sourceLineNo">155</span> }<a name="line.155"></a>
<span class="sourceLineNo">156</span>}<a name="line.156"></a>
</pre>
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