blob: da38858017238f0ab7b47a9b971f2153b385f703 [file] [log] [blame]
<!DOCTYPE HTML PUBLIC "-//W3C//DTD HTML 4.01 Transitional//EN" "http://www.w3.org/TR/html4/loose.dtd">
<html lang="en">
<head>
<title>Source code</title>
<link rel="stylesheet" type="text/css" href="../../../../../../stylesheet.css" title="Style">
</head>
<body>
<div class="sourceContainer">
<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.regionserver;<a name="line.18"></a>
<span class="sourceLineNo">019</span><a name="line.19"></a>
<span class="sourceLineNo">020</span>import static org.junit.Assert.assertEquals;<a name="line.20"></a>
<span class="sourceLineNo">021</span>import static org.junit.Assert.assertTrue;<a name="line.21"></a>
<span class="sourceLineNo">022</span><a name="line.22"></a>
<span class="sourceLineNo">023</span>import java.io.IOException;<a name="line.23"></a>
<span class="sourceLineNo">024</span>import java.util.ArrayList;<a name="line.24"></a>
<span class="sourceLineNo">025</span>import java.util.List;<a name="line.25"></a>
<span class="sourceLineNo">026</span>import org.apache.hadoop.conf.Configuration;<a name="line.26"></a>
<span class="sourceLineNo">027</span>import org.apache.hadoop.hbase.Cell;<a name="line.27"></a>
<span class="sourceLineNo">028</span>import org.apache.hadoop.hbase.CellComparatorImpl;<a name="line.28"></a>
<span class="sourceLineNo">029</span>import org.apache.hadoop.hbase.HBaseClassTestRule;<a name="line.29"></a>
<span class="sourceLineNo">030</span>import org.apache.hadoop.hbase.HBaseConfiguration;<a name="line.30"></a>
<span class="sourceLineNo">031</span>import org.apache.hadoop.hbase.KeyValue;<a name="line.31"></a>
<span class="sourceLineNo">032</span>import org.apache.hadoop.hbase.MemoryCompactionPolicy;<a name="line.32"></a>
<span class="sourceLineNo">033</span>import org.apache.hadoop.hbase.testclassification.LargeTests;<a name="line.33"></a>
<span class="sourceLineNo">034</span>import org.apache.hadoop.hbase.testclassification.RegionServerTests;<a name="line.34"></a>
<span class="sourceLineNo">035</span>import org.apache.hadoop.hbase.util.Bytes;<a name="line.35"></a>
<span class="sourceLineNo">036</span>import org.apache.hadoop.hbase.util.ClassSize;<a name="line.36"></a>
<span class="sourceLineNo">037</span>import org.apache.hadoop.hbase.util.EnvironmentEdgeManager;<a name="line.37"></a>
<span class="sourceLineNo">038</span>import org.apache.hadoop.hbase.util.Threads;<a name="line.38"></a>
<span class="sourceLineNo">039</span>import org.junit.ClassRule;<a name="line.39"></a>
<span class="sourceLineNo">040</span>import org.junit.Test;<a name="line.40"></a>
<span class="sourceLineNo">041</span>import org.junit.experimental.categories.Category;<a name="line.41"></a>
<span class="sourceLineNo">042</span>import org.junit.runner.RunWith;<a name="line.42"></a>
<span class="sourceLineNo">043</span>import org.junit.runners.Parameterized;<a name="line.43"></a>
<span class="sourceLineNo">044</span>import org.slf4j.Logger;<a name="line.44"></a>
<span class="sourceLineNo">045</span>import org.slf4j.LoggerFactory;<a name="line.45"></a>
<span class="sourceLineNo">046</span><a name="line.46"></a>
<span class="sourceLineNo">047</span>/**<a name="line.47"></a>
<span class="sourceLineNo">048</span> * compacted memstore test case<a name="line.48"></a>
<span class="sourceLineNo">049</span> */<a name="line.49"></a>
<span class="sourceLineNo">050</span>@Category({ RegionServerTests.class, LargeTests.class })<a name="line.50"></a>
<span class="sourceLineNo">051</span>@RunWith(Parameterized.class)<a name="line.51"></a>
<span class="sourceLineNo">052</span>public class TestCompactingToCellFlatMapMemStore extends TestCompactingMemStore {<a name="line.52"></a>
<span class="sourceLineNo">053</span><a name="line.53"></a>
<span class="sourceLineNo">054</span> @ClassRule<a name="line.54"></a>
<span class="sourceLineNo">055</span> public static final HBaseClassTestRule CLASS_RULE =<a name="line.55"></a>
<span class="sourceLineNo">056</span> HBaseClassTestRule.forClass(TestCompactingToCellFlatMapMemStore.class);<a name="line.56"></a>
<span class="sourceLineNo">057</span><a name="line.57"></a>
<span class="sourceLineNo">058</span> @Parameterized.Parameters<a name="line.58"></a>
<span class="sourceLineNo">059</span> public static Object[] data() {<a name="line.59"></a>
<span class="sourceLineNo">060</span> return new Object[] { "CHUNK_MAP", "ARRAY_MAP" }; // test different immutable indexes<a name="line.60"></a>
<span class="sourceLineNo">061</span> }<a name="line.61"></a>
<span class="sourceLineNo">062</span><a name="line.62"></a>
<span class="sourceLineNo">063</span> private static final Logger LOG =<a name="line.63"></a>
<span class="sourceLineNo">064</span> LoggerFactory.getLogger(TestCompactingToCellFlatMapMemStore.class);<a name="line.64"></a>
<span class="sourceLineNo">065</span> public final boolean toCellChunkMap;<a name="line.65"></a>
<span class="sourceLineNo">066</span> Configuration conf;<a name="line.66"></a>
<span class="sourceLineNo">067</span><a name="line.67"></a>
<span class="sourceLineNo">068</span> //////////////////////////////////////////////////////////////////////////////<a name="line.68"></a>
<span class="sourceLineNo">069</span> // Helpers<a name="line.69"></a>
<span class="sourceLineNo">070</span> //////////////////////////////////////////////////////////////////////////////<a name="line.70"></a>
<span class="sourceLineNo">071</span> public TestCompactingToCellFlatMapMemStore(String type) {<a name="line.71"></a>
<span class="sourceLineNo">072</span> if (type == "CHUNK_MAP") {<a name="line.72"></a>
<span class="sourceLineNo">073</span> toCellChunkMap = true;<a name="line.73"></a>
<span class="sourceLineNo">074</span> } else {<a name="line.74"></a>
<span class="sourceLineNo">075</span> toCellChunkMap = false;<a name="line.75"></a>
<span class="sourceLineNo">076</span> }<a name="line.76"></a>
<span class="sourceLineNo">077</span> }<a name="line.77"></a>
<span class="sourceLineNo">078</span><a name="line.78"></a>
<span class="sourceLineNo">079</span> @Override<a name="line.79"></a>
<span class="sourceLineNo">080</span> public void tearDown() throws Exception {<a name="line.80"></a>
<span class="sourceLineNo">081</span> chunkCreator.clearChunksInPool();<a name="line.81"></a>
<span class="sourceLineNo">082</span> }<a name="line.82"></a>
<span class="sourceLineNo">083</span><a name="line.83"></a>
<span class="sourceLineNo">084</span> @Override<a name="line.84"></a>
<span class="sourceLineNo">085</span> public void setUp() throws Exception {<a name="line.85"></a>
<span class="sourceLineNo">086</span><a name="line.86"></a>
<span class="sourceLineNo">087</span> compactingSetUp();<a name="line.87"></a>
<span class="sourceLineNo">088</span> this.conf = HBaseConfiguration.create();<a name="line.88"></a>
<span class="sourceLineNo">089</span><a name="line.89"></a>
<span class="sourceLineNo">090</span> // set memstore to do data compaction<a name="line.90"></a>
<span class="sourceLineNo">091</span> conf.set(CompactingMemStore.COMPACTING_MEMSTORE_TYPE_KEY,<a name="line.91"></a>
<span class="sourceLineNo">092</span> String.valueOf(MemoryCompactionPolicy.EAGER));<a name="line.92"></a>
<span class="sourceLineNo">093</span> conf.setDouble(CompactingMemStore.IN_MEMORY_FLUSH_THRESHOLD_FACTOR_KEY, 0.02);<a name="line.93"></a>
<span class="sourceLineNo">094</span> this.memstore = new MyCompactingMemStore(conf, CellComparatorImpl.COMPARATOR, store,<a name="line.94"></a>
<span class="sourceLineNo">095</span> regionServicesForStores, MemoryCompactionPolicy.EAGER);<a name="line.95"></a>
<span class="sourceLineNo">096</span> }<a name="line.96"></a>
<span class="sourceLineNo">097</span><a name="line.97"></a>
<span class="sourceLineNo">098</span> //////////////////////////////////////////////////////////////////////////////<a name="line.98"></a>
<span class="sourceLineNo">099</span> // Compaction tests<a name="line.99"></a>
<span class="sourceLineNo">100</span> //////////////////////////////////////////////////////////////////////////////<a name="line.100"></a>
<span class="sourceLineNo">101</span> @Override<a name="line.101"></a>
<span class="sourceLineNo">102</span> public void testCompaction1Bucket() throws IOException {<a name="line.102"></a>
<span class="sourceLineNo">103</span> int counter = 0;<a name="line.103"></a>
<span class="sourceLineNo">104</span> String[] keys1 = { "A", "A", "B", "C" }; // A1, A2, B3, C4<a name="line.104"></a>
<span class="sourceLineNo">105</span> if (toCellChunkMap) {<a name="line.105"></a>
<span class="sourceLineNo">106</span> // set memstore to flat into CellChunkMap<a name="line.106"></a>
<span class="sourceLineNo">107</span> ((CompactingMemStore) memstore).setIndexType(CompactingMemStore.IndexType.CHUNK_MAP);<a name="line.107"></a>
<span class="sourceLineNo">108</span> } else {<a name="line.108"></a>
<span class="sourceLineNo">109</span> ((CompactingMemStore) memstore).setIndexType(CompactingMemStore.IndexType.ARRAY_MAP);<a name="line.109"></a>
<span class="sourceLineNo">110</span> }<a name="line.110"></a>
<span class="sourceLineNo">111</span><a name="line.111"></a>
<span class="sourceLineNo">112</span> // test 1 bucket<a name="line.112"></a>
<span class="sourceLineNo">113</span> long totalCellsLen = addRowsByKeysDataSize(memstore, keys1);<a name="line.113"></a>
<span class="sourceLineNo">114</span> long cellBeforeFlushSize = cellBeforeFlushSize();<a name="line.114"></a>
<span class="sourceLineNo">115</span> long cellAfterFlushSize = cellAfterFlushSize();<a name="line.115"></a>
<span class="sourceLineNo">116</span> long totalHeapSize = MutableSegment.DEEP_OVERHEAD + 4 * cellBeforeFlushSize;<a name="line.116"></a>
<span class="sourceLineNo">117</span><a name="line.117"></a>
<span class="sourceLineNo">118</span> assertEquals(totalCellsLen, regionServicesForStores.getMemStoreSize());<a name="line.118"></a>
<span class="sourceLineNo">119</span> assertEquals(totalHeapSize, ((CompactingMemStore) memstore).heapSize());<a name="line.119"></a>
<span class="sourceLineNo">120</span><a name="line.120"></a>
<span class="sourceLineNo">121</span> assertEquals(4, memstore.getActive().getCellsCount());<a name="line.121"></a>
<span class="sourceLineNo">122</span> ((CompactingMemStore) memstore).flushInMemory(); // push keys to pipeline and compact<a name="line.122"></a>
<span class="sourceLineNo">123</span> assertEquals(0, memstore.getSnapshot().getCellsCount());<a name="line.123"></a>
<span class="sourceLineNo">124</span> // One cell is duplicated and the compaction will remove it. All cells of same size so adjusting<a name="line.124"></a>
<span class="sourceLineNo">125</span> // totalCellsLen<a name="line.125"></a>
<span class="sourceLineNo">126</span> totalCellsLen = (totalCellsLen * 3) / 4;<a name="line.126"></a>
<span class="sourceLineNo">127</span> assertEquals(totalCellsLen, regionServicesForStores.getMemStoreSize());<a name="line.127"></a>
<span class="sourceLineNo">128</span><a name="line.128"></a>
<span class="sourceLineNo">129</span> totalHeapSize = 3 * cellAfterFlushSize + MutableSegment.DEEP_OVERHEAD<a name="line.129"></a>
<span class="sourceLineNo">130</span> + (toCellChunkMap<a name="line.130"></a>
<span class="sourceLineNo">131</span> ? CellChunkImmutableSegment.DEEP_OVERHEAD_CCM<a name="line.131"></a>
<span class="sourceLineNo">132</span> : CellArrayImmutableSegment.DEEP_OVERHEAD_CAM);<a name="line.132"></a>
<span class="sourceLineNo">133</span> assertEquals(totalHeapSize, ((CompactingMemStore) memstore).heapSize());<a name="line.133"></a>
<span class="sourceLineNo">134</span> for (Segment s : memstore.getSegments()) {<a name="line.134"></a>
<span class="sourceLineNo">135</span> counter += s.getCellsCount();<a name="line.135"></a>
<span class="sourceLineNo">136</span> }<a name="line.136"></a>
<span class="sourceLineNo">137</span> assertEquals(3, counter);<a name="line.137"></a>
<span class="sourceLineNo">138</span> MemStoreSize mss = memstore.getFlushableSize();<a name="line.138"></a>
<span class="sourceLineNo">139</span> MemStoreSnapshot snapshot = memstore.snapshot(); // push keys to snapshot<a name="line.139"></a>
<span class="sourceLineNo">140</span> region.decrMemStoreSize(mss); // simulate flusher<a name="line.140"></a>
<span class="sourceLineNo">141</span> ImmutableSegment s = memstore.getSnapshot();<a name="line.141"></a>
<span class="sourceLineNo">142</span> assertEquals(3, s.getCellsCount());<a name="line.142"></a>
<span class="sourceLineNo">143</span> assertEquals(0, regionServicesForStores.getMemStoreSize());<a name="line.143"></a>
<span class="sourceLineNo">144</span><a name="line.144"></a>
<span class="sourceLineNo">145</span> memstore.clearSnapshot(snapshot.getId());<a name="line.145"></a>
<span class="sourceLineNo">146</span> }<a name="line.146"></a>
<span class="sourceLineNo">147</span><a name="line.147"></a>
<span class="sourceLineNo">148</span> @Override<a name="line.148"></a>
<span class="sourceLineNo">149</span> public void testCompaction2Buckets() throws IOException {<a name="line.149"></a>
<span class="sourceLineNo">150</span> if (toCellChunkMap) {<a name="line.150"></a>
<span class="sourceLineNo">151</span> // set memstore to flat into CellChunkMap<a name="line.151"></a>
<span class="sourceLineNo">152</span> ((CompactingMemStore) memstore).setIndexType(CompactingMemStore.IndexType.CHUNK_MAP);<a name="line.152"></a>
<span class="sourceLineNo">153</span> } else {<a name="line.153"></a>
<span class="sourceLineNo">154</span> ((CompactingMemStore) memstore).setIndexType(CompactingMemStore.IndexType.ARRAY_MAP);<a name="line.154"></a>
<span class="sourceLineNo">155</span> }<a name="line.155"></a>
<span class="sourceLineNo">156</span> String[] keys1 = { "A", "A", "B", "C" };<a name="line.156"></a>
<span class="sourceLineNo">157</span> String[] keys2 = { "A", "B", "D" };<a name="line.157"></a>
<span class="sourceLineNo">158</span><a name="line.158"></a>
<span class="sourceLineNo">159</span> long totalCellsLen1 = addRowsByKeysDataSize(memstore, keys1); // INSERT 4<a name="line.159"></a>
<span class="sourceLineNo">160</span> long cellBeforeFlushSize = cellBeforeFlushSize();<a name="line.160"></a>
<span class="sourceLineNo">161</span> long cellAfterFlushSize = cellAfterFlushSize();<a name="line.161"></a>
<span class="sourceLineNo">162</span> long totalHeapSize1 = MutableSegment.DEEP_OVERHEAD + 4 * cellBeforeFlushSize;<a name="line.162"></a>
<span class="sourceLineNo">163</span> assertEquals(totalCellsLen1, regionServicesForStores.getMemStoreSize());<a name="line.163"></a>
<span class="sourceLineNo">164</span> assertEquals(totalHeapSize1, ((CompactingMemStore) memstore).heapSize());<a name="line.164"></a>
<span class="sourceLineNo">165</span><a name="line.165"></a>
<span class="sourceLineNo">166</span> ((CompactingMemStore) memstore).flushInMemory(); // push keys to pipeline and compact<a name="line.166"></a>
<span class="sourceLineNo">167</span> int counter = 0; // COMPACT 4-&gt;3<a name="line.167"></a>
<span class="sourceLineNo">168</span> for (Segment s : memstore.getSegments()) {<a name="line.168"></a>
<span class="sourceLineNo">169</span> counter += s.getCellsCount();<a name="line.169"></a>
<span class="sourceLineNo">170</span> }<a name="line.170"></a>
<span class="sourceLineNo">171</span> assertEquals(3, counter);<a name="line.171"></a>
<span class="sourceLineNo">172</span> assertEquals(0, memstore.getSnapshot().getCellsCount());<a name="line.172"></a>
<span class="sourceLineNo">173</span> // One cell is duplicated and the compaction will remove it. All cells of same size so adjusting<a name="line.173"></a>
<span class="sourceLineNo">174</span> // totalCellsLen<a name="line.174"></a>
<span class="sourceLineNo">175</span> totalCellsLen1 = (totalCellsLen1 * 3) / 4;<a name="line.175"></a>
<span class="sourceLineNo">176</span> totalHeapSize1 = 3 * cellAfterFlushSize + MutableSegment.DEEP_OVERHEAD<a name="line.176"></a>
<span class="sourceLineNo">177</span> + (toCellChunkMap<a name="line.177"></a>
<span class="sourceLineNo">178</span> ? CellChunkImmutableSegment.DEEP_OVERHEAD_CCM<a name="line.178"></a>
<span class="sourceLineNo">179</span> : CellArrayImmutableSegment.DEEP_OVERHEAD_CAM);<a name="line.179"></a>
<span class="sourceLineNo">180</span> assertEquals(totalCellsLen1, regionServicesForStores.getMemStoreSize());<a name="line.180"></a>
<span class="sourceLineNo">181</span> assertEquals(totalHeapSize1, ((CompactingMemStore) memstore).heapSize());<a name="line.181"></a>
<span class="sourceLineNo">182</span><a name="line.182"></a>
<span class="sourceLineNo">183</span> long totalCellsLen2 = addRowsByKeysDataSize(memstore, keys2); // INSERT 3 (3+3=6)<a name="line.183"></a>
<span class="sourceLineNo">184</span> long totalHeapSize2 = 3 * cellBeforeFlushSize;<a name="line.184"></a>
<span class="sourceLineNo">185</span> assertEquals(totalCellsLen1 + totalCellsLen2, regionServicesForStores.getMemStoreSize());<a name="line.185"></a>
<span class="sourceLineNo">186</span> assertEquals(totalHeapSize1 + totalHeapSize2, ((CompactingMemStore) memstore).heapSize());<a name="line.186"></a>
<span class="sourceLineNo">187</span><a name="line.187"></a>
<span class="sourceLineNo">188</span> ((CompactingMemStore) memstore).flushInMemory(); // push keys to pipeline and compact<a name="line.188"></a>
<span class="sourceLineNo">189</span> assertEquals(0, memstore.getSnapshot().getCellsCount());// COMPACT 6-&gt;4<a name="line.189"></a>
<span class="sourceLineNo">190</span> counter = 0;<a name="line.190"></a>
<span class="sourceLineNo">191</span> for (Segment s : memstore.getSegments()) {<a name="line.191"></a>
<span class="sourceLineNo">192</span> counter += s.getCellsCount();<a name="line.192"></a>
<span class="sourceLineNo">193</span> }<a name="line.193"></a>
<span class="sourceLineNo">194</span> assertEquals(4, counter);<a name="line.194"></a>
<span class="sourceLineNo">195</span> totalCellsLen2 = totalCellsLen2 / 3;// 2 cells duplicated in set 2<a name="line.195"></a>
<span class="sourceLineNo">196</span> assertEquals(totalCellsLen1 + totalCellsLen2, regionServicesForStores.getMemStoreSize());<a name="line.196"></a>
<span class="sourceLineNo">197</span> totalHeapSize2 = 1 * cellAfterFlushSize;<a name="line.197"></a>
<span class="sourceLineNo">198</span> assertEquals(totalHeapSize1 + totalHeapSize2, ((CompactingMemStore) memstore).heapSize());<a name="line.198"></a>
<span class="sourceLineNo">199</span><a name="line.199"></a>
<span class="sourceLineNo">200</span> MemStoreSize mss = memstore.getFlushableSize();<a name="line.200"></a>
<span class="sourceLineNo">201</span> MemStoreSnapshot snapshot = memstore.snapshot(); // push keys to snapshot<a name="line.201"></a>
<span class="sourceLineNo">202</span> // simulate flusher<a name="line.202"></a>
<span class="sourceLineNo">203</span> region.decrMemStoreSize(mss);<a name="line.203"></a>
<span class="sourceLineNo">204</span> ImmutableSegment s = memstore.getSnapshot();<a name="line.204"></a>
<span class="sourceLineNo">205</span> assertEquals(4, s.getCellsCount());<a name="line.205"></a>
<span class="sourceLineNo">206</span> assertEquals(0, regionServicesForStores.getMemStoreSize());<a name="line.206"></a>
<span class="sourceLineNo">207</span><a name="line.207"></a>
<span class="sourceLineNo">208</span> memstore.clearSnapshot(snapshot.getId());<a name="line.208"></a>
<span class="sourceLineNo">209</span> }<a name="line.209"></a>
<span class="sourceLineNo">210</span><a name="line.210"></a>
<span class="sourceLineNo">211</span> @Override<a name="line.211"></a>
<span class="sourceLineNo">212</span> public void testCompaction3Buckets() throws IOException {<a name="line.212"></a>
<span class="sourceLineNo">213</span> if (toCellChunkMap) {<a name="line.213"></a>
<span class="sourceLineNo">214</span> // set memstore to flat into CellChunkMap<a name="line.214"></a>
<span class="sourceLineNo">215</span> ((CompactingMemStore) memstore).setIndexType(CompactingMemStore.IndexType.CHUNK_MAP);<a name="line.215"></a>
<span class="sourceLineNo">216</span> } else {<a name="line.216"></a>
<span class="sourceLineNo">217</span> // set to CellArrayMap as CCM is configured by default due to MSLAB usage<a name="line.217"></a>
<span class="sourceLineNo">218</span> ((CompactingMemStore) memstore).setIndexType(CompactingMemStore.IndexType.ARRAY_MAP);<a name="line.218"></a>
<span class="sourceLineNo">219</span> }<a name="line.219"></a>
<span class="sourceLineNo">220</span> String[] keys1 = { "A", "A", "B", "C" };<a name="line.220"></a>
<span class="sourceLineNo">221</span> String[] keys2 = { "A", "B", "D" };<a name="line.221"></a>
<span class="sourceLineNo">222</span> String[] keys3 = { "D", "B", "B" };<a name="line.222"></a>
<span class="sourceLineNo">223</span><a name="line.223"></a>
<span class="sourceLineNo">224</span> long totalCellsLen1 = addRowsByKeysDataSize(memstore, keys1);<a name="line.224"></a>
<span class="sourceLineNo">225</span> long cellBeforeFlushSize = cellBeforeFlushSize();<a name="line.225"></a>
<span class="sourceLineNo">226</span> long cellAfterFlushSize = cellAfterFlushSize();<a name="line.226"></a>
<span class="sourceLineNo">227</span> long totalHeapSize1 = MutableSegment.DEEP_OVERHEAD + 4 * cellBeforeFlushSize;<a name="line.227"></a>
<span class="sourceLineNo">228</span> assertEquals(totalCellsLen1, region.getMemStoreDataSize());<a name="line.228"></a>
<span class="sourceLineNo">229</span> assertEquals(totalHeapSize1, ((CompactingMemStore) memstore).heapSize());<a name="line.229"></a>
<span class="sourceLineNo">230</span><a name="line.230"></a>
<span class="sourceLineNo">231</span> MemStoreSize mss = memstore.getFlushableSize();<a name="line.231"></a>
<span class="sourceLineNo">232</span> ((CompactingMemStore) memstore).flushInMemory(); // push keys to pipeline and compact<a name="line.232"></a>
<span class="sourceLineNo">233</span><a name="line.233"></a>
<span class="sourceLineNo">234</span> assertEquals(0, memstore.getSnapshot().getCellsCount());<a name="line.234"></a>
<span class="sourceLineNo">235</span> // One cell is duplicated and the compaction will remove it. All cells of same size so adjusting<a name="line.235"></a>
<span class="sourceLineNo">236</span> // totalCellsLen<a name="line.236"></a>
<span class="sourceLineNo">237</span> totalCellsLen1 = (totalCellsLen1 * 3) / 4;<a name="line.237"></a>
<span class="sourceLineNo">238</span> totalHeapSize1 = 3 * cellAfterFlushSize + MutableSegment.DEEP_OVERHEAD<a name="line.238"></a>
<span class="sourceLineNo">239</span> + (toCellChunkMap<a name="line.239"></a>
<span class="sourceLineNo">240</span> ? CellChunkImmutableSegment.DEEP_OVERHEAD_CCM<a name="line.240"></a>
<span class="sourceLineNo">241</span> : CellArrayImmutableSegment.DEEP_OVERHEAD_CAM);<a name="line.241"></a>
<span class="sourceLineNo">242</span> assertEquals(totalCellsLen1, regionServicesForStores.getMemStoreSize());<a name="line.242"></a>
<span class="sourceLineNo">243</span> assertEquals(totalHeapSize1, ((CompactingMemStore) memstore).heapSize());<a name="line.243"></a>
<span class="sourceLineNo">244</span><a name="line.244"></a>
<span class="sourceLineNo">245</span> long totalCellsLen2 = addRowsByKeysDataSize(memstore, keys2);<a name="line.245"></a>
<span class="sourceLineNo">246</span> long totalHeapSize2 = 3 * cellBeforeFlushSize;<a name="line.246"></a>
<span class="sourceLineNo">247</span><a name="line.247"></a>
<span class="sourceLineNo">248</span> assertEquals(totalCellsLen1 + totalCellsLen2, regionServicesForStores.getMemStoreSize());<a name="line.248"></a>
<span class="sourceLineNo">249</span> assertEquals(totalHeapSize1 + totalHeapSize2, ((CompactingMemStore) memstore).heapSize());<a name="line.249"></a>
<span class="sourceLineNo">250</span><a name="line.250"></a>
<span class="sourceLineNo">251</span> ((MyCompactingMemStore) memstore).disableCompaction();<a name="line.251"></a>
<span class="sourceLineNo">252</span> mss = memstore.getFlushableSize();<a name="line.252"></a>
<span class="sourceLineNo">253</span> ((CompactingMemStore) memstore).flushInMemory(); // push keys to pipeline without compaction<a name="line.253"></a>
<span class="sourceLineNo">254</span> totalHeapSize2 = totalHeapSize2 + CSLMImmutableSegment.DEEP_OVERHEAD_CSLM;<a name="line.254"></a>
<span class="sourceLineNo">255</span> assertEquals(0, memstore.getSnapshot().getCellsCount());<a name="line.255"></a>
<span class="sourceLineNo">256</span> assertEquals(totalCellsLen1 + totalCellsLen2, regionServicesForStores.getMemStoreSize());<a name="line.256"></a>
<span class="sourceLineNo">257</span> assertEquals(totalHeapSize1 + totalHeapSize2, ((CompactingMemStore) memstore).heapSize());<a name="line.257"></a>
<span class="sourceLineNo">258</span><a name="line.258"></a>
<span class="sourceLineNo">259</span> long totalCellsLen3 = addRowsByKeysDataSize(memstore, keys3);<a name="line.259"></a>
<span class="sourceLineNo">260</span> long totalHeapSize3 = 3 * cellBeforeFlushSize;<a name="line.260"></a>
<span class="sourceLineNo">261</span> assertEquals(totalCellsLen1 + totalCellsLen2 + totalCellsLen3,<a name="line.261"></a>
<span class="sourceLineNo">262</span> regionServicesForStores.getMemStoreSize());<a name="line.262"></a>
<span class="sourceLineNo">263</span> assertEquals(totalHeapSize1 + totalHeapSize2 + totalHeapSize3,<a name="line.263"></a>
<span class="sourceLineNo">264</span> ((CompactingMemStore) memstore).heapSize());<a name="line.264"></a>
<span class="sourceLineNo">265</span><a name="line.265"></a>
<span class="sourceLineNo">266</span> ((MyCompactingMemStore) memstore).enableCompaction();<a name="line.266"></a>
<span class="sourceLineNo">267</span> mss = memstore.getFlushableSize();<a name="line.267"></a>
<span class="sourceLineNo">268</span> ((CompactingMemStore) memstore).flushInMemory(); // push keys to pipeline and compact<a name="line.268"></a>
<span class="sourceLineNo">269</span> while (((CompactingMemStore) memstore).isMemStoreFlushingInMemory()) {<a name="line.269"></a>
<span class="sourceLineNo">270</span> Threads.sleep(10);<a name="line.270"></a>
<span class="sourceLineNo">271</span> }<a name="line.271"></a>
<span class="sourceLineNo">272</span> assertEquals(0, memstore.getSnapshot().getCellsCount());<a name="line.272"></a>
<span class="sourceLineNo">273</span> // active flushed to pipeline and all 3 segments compacted. Will get rid of duplicated cells.<a name="line.273"></a>
<span class="sourceLineNo">274</span> // Out of total 10, only 4 cells are unique<a name="line.274"></a>
<span class="sourceLineNo">275</span> totalCellsLen2 = totalCellsLen2 / 3;// 2 out of 3 cells are duplicated<a name="line.275"></a>
<span class="sourceLineNo">276</span> totalCellsLen3 = 0;// All duplicated cells.<a name="line.276"></a>
<span class="sourceLineNo">277</span> assertEquals(totalCellsLen1 + totalCellsLen2 + totalCellsLen3,<a name="line.277"></a>
<span class="sourceLineNo">278</span> regionServicesForStores.getMemStoreSize());<a name="line.278"></a>
<span class="sourceLineNo">279</span> // Only 4 unique cells left<a name="line.279"></a>
<span class="sourceLineNo">280</span> long totalHeapSize4 = 4 * cellAfterFlushSize + MutableSegment.DEEP_OVERHEAD<a name="line.280"></a>
<span class="sourceLineNo">281</span> + (toCellChunkMap<a name="line.281"></a>
<span class="sourceLineNo">282</span> ? CellChunkImmutableSegment.DEEP_OVERHEAD_CCM<a name="line.282"></a>
<span class="sourceLineNo">283</span> : CellArrayImmutableSegment.DEEP_OVERHEAD_CAM);<a name="line.283"></a>
<span class="sourceLineNo">284</span> assertEquals(totalHeapSize4, ((CompactingMemStore) memstore).heapSize());<a name="line.284"></a>
<span class="sourceLineNo">285</span><a name="line.285"></a>
<span class="sourceLineNo">286</span> mss = memstore.getFlushableSize();<a name="line.286"></a>
<span class="sourceLineNo">287</span> MemStoreSnapshot snapshot = memstore.snapshot(); // push keys to snapshot<a name="line.287"></a>
<span class="sourceLineNo">288</span> // simulate flusher<a name="line.288"></a>
<span class="sourceLineNo">289</span> region.decrMemStoreSize(mss);<a name="line.289"></a>
<span class="sourceLineNo">290</span> ImmutableSegment s = memstore.getSnapshot();<a name="line.290"></a>
<span class="sourceLineNo">291</span> assertEquals(4, s.getCellsCount());<a name="line.291"></a>
<span class="sourceLineNo">292</span> assertEquals(0, regionServicesForStores.getMemStoreSize());<a name="line.292"></a>
<span class="sourceLineNo">293</span><a name="line.293"></a>
<span class="sourceLineNo">294</span> memstore.clearSnapshot(snapshot.getId());<a name="line.294"></a>
<span class="sourceLineNo">295</span> }<a name="line.295"></a>
<span class="sourceLineNo">296</span><a name="line.296"></a>
<span class="sourceLineNo">297</span> //////////////////////////////////////////////////////////////////////////////<a name="line.297"></a>
<span class="sourceLineNo">298</span> // Merging tests<a name="line.298"></a>
<span class="sourceLineNo">299</span> //////////////////////////////////////////////////////////////////////////////<a name="line.299"></a>
<span class="sourceLineNo">300</span> @Test<a name="line.300"></a>
<span class="sourceLineNo">301</span> public void testMerging() throws IOException {<a name="line.301"></a>
<span class="sourceLineNo">302</span> if (toCellChunkMap) {<a name="line.302"></a>
<span class="sourceLineNo">303</span> // set memstore to flat into CellChunkMap<a name="line.303"></a>
<span class="sourceLineNo">304</span> ((CompactingMemStore) memstore).setIndexType(CompactingMemStore.IndexType.CHUNK_MAP);<a name="line.304"></a>
<span class="sourceLineNo">305</span> }<a name="line.305"></a>
<span class="sourceLineNo">306</span> String[] keys1 = { "A", "A", "B", "C", "F", "H" };<a name="line.306"></a>
<span class="sourceLineNo">307</span> String[] keys2 = { "A", "B", "D", "G", "I", "J" };<a name="line.307"></a>
<span class="sourceLineNo">308</span> String[] keys3 = { "D", "B", "B", "E" };<a name="line.308"></a>
<span class="sourceLineNo">309</span><a name="line.309"></a>
<span class="sourceLineNo">310</span> MemoryCompactionPolicy compactionType = MemoryCompactionPolicy.BASIC;<a name="line.310"></a>
<span class="sourceLineNo">311</span> memstore.getConfiguration().set(CompactingMemStore.COMPACTING_MEMSTORE_TYPE_KEY,<a name="line.311"></a>
<span class="sourceLineNo">312</span> String.valueOf(compactionType));<a name="line.312"></a>
<span class="sourceLineNo">313</span> ((MyCompactingMemStore) memstore).initiateType(compactionType, memstore.getConfiguration());<a name="line.313"></a>
<span class="sourceLineNo">314</span> addRowsByKeysDataSize(memstore, keys1);<a name="line.314"></a>
<span class="sourceLineNo">315</span><a name="line.315"></a>
<span class="sourceLineNo">316</span> ((CompactingMemStore) memstore).flushInMemory(); // push keys to pipeline should not compact<a name="line.316"></a>
<span class="sourceLineNo">317</span><a name="line.317"></a>
<span class="sourceLineNo">318</span> while (((CompactingMemStore) memstore).isMemStoreFlushingInMemory()) {<a name="line.318"></a>
<span class="sourceLineNo">319</span> Threads.sleep(10);<a name="line.319"></a>
<span class="sourceLineNo">320</span> }<a name="line.320"></a>
<span class="sourceLineNo">321</span> assertEquals(0, memstore.getSnapshot().getCellsCount());<a name="line.321"></a>
<span class="sourceLineNo">322</span><a name="line.322"></a>
<span class="sourceLineNo">323</span> addRowsByKeysDataSize(memstore, keys2); // also should only flatten<a name="line.323"></a>
<span class="sourceLineNo">324</span><a name="line.324"></a>
<span class="sourceLineNo">325</span> int counter2 = 0;<a name="line.325"></a>
<span class="sourceLineNo">326</span> for (Segment s : memstore.getSegments()) {<a name="line.326"></a>
<span class="sourceLineNo">327</span> counter2 += s.getCellsCount();<a name="line.327"></a>
<span class="sourceLineNo">328</span> }<a name="line.328"></a>
<span class="sourceLineNo">329</span> assertEquals(12, counter2);<a name="line.329"></a>
<span class="sourceLineNo">330</span><a name="line.330"></a>
<span class="sourceLineNo">331</span> ((MyCompactingMemStore) memstore).disableCompaction();<a name="line.331"></a>
<span class="sourceLineNo">332</span><a name="line.332"></a>
<span class="sourceLineNo">333</span> ((CompactingMemStore) memstore).flushInMemory(); // push keys to pipeline without flattening<a name="line.333"></a>
<span class="sourceLineNo">334</span> assertEquals(0, memstore.getSnapshot().getCellsCount());<a name="line.334"></a>
<span class="sourceLineNo">335</span><a name="line.335"></a>
<span class="sourceLineNo">336</span> int counter3 = 0;<a name="line.336"></a>
<span class="sourceLineNo">337</span> for (Segment s : memstore.getSegments()) {<a name="line.337"></a>
<span class="sourceLineNo">338</span> counter3 += s.getCellsCount();<a name="line.338"></a>
<span class="sourceLineNo">339</span> }<a name="line.339"></a>
<span class="sourceLineNo">340</span> assertEquals(12, counter3);<a name="line.340"></a>
<span class="sourceLineNo">341</span><a name="line.341"></a>
<span class="sourceLineNo">342</span> addRowsByKeysDataSize(memstore, keys3);<a name="line.342"></a>
<span class="sourceLineNo">343</span><a name="line.343"></a>
<span class="sourceLineNo">344</span> int counter4 = 0;<a name="line.344"></a>
<span class="sourceLineNo">345</span> for (Segment s : memstore.getSegments()) {<a name="line.345"></a>
<span class="sourceLineNo">346</span> counter4 += s.getCellsCount();<a name="line.346"></a>
<span class="sourceLineNo">347</span> }<a name="line.347"></a>
<span class="sourceLineNo">348</span> assertEquals(16, counter4);<a name="line.348"></a>
<span class="sourceLineNo">349</span><a name="line.349"></a>
<span class="sourceLineNo">350</span> ((MyCompactingMemStore) memstore).enableCompaction();<a name="line.350"></a>
<span class="sourceLineNo">351</span><a name="line.351"></a>
<span class="sourceLineNo">352</span> ((CompactingMemStore) memstore).flushInMemory(); // push keys to pipeline and compact<a name="line.352"></a>
<span class="sourceLineNo">353</span> while (((CompactingMemStore) memstore).isMemStoreFlushingInMemory()) {<a name="line.353"></a>
<span class="sourceLineNo">354</span> Threads.sleep(10);<a name="line.354"></a>
<span class="sourceLineNo">355</span> }<a name="line.355"></a>
<span class="sourceLineNo">356</span> assertEquals(0, memstore.getSnapshot().getCellsCount());<a name="line.356"></a>
<span class="sourceLineNo">357</span><a name="line.357"></a>
<span class="sourceLineNo">358</span> int counter = 0;<a name="line.358"></a>
<span class="sourceLineNo">359</span> for (Segment s : memstore.getSegments()) {<a name="line.359"></a>
<span class="sourceLineNo">360</span> counter += s.getCellsCount();<a name="line.360"></a>
<span class="sourceLineNo">361</span> }<a name="line.361"></a>
<span class="sourceLineNo">362</span> assertEquals(16, counter);<a name="line.362"></a>
<span class="sourceLineNo">363</span><a name="line.363"></a>
<span class="sourceLineNo">364</span> MemStoreSnapshot snapshot = memstore.snapshot(); // push keys to snapshot<a name="line.364"></a>
<span class="sourceLineNo">365</span> ImmutableSegment s = memstore.getSnapshot();<a name="line.365"></a>
<span class="sourceLineNo">366</span> memstore.clearSnapshot(snapshot.getId());<a name="line.366"></a>
<span class="sourceLineNo">367</span> }<a name="line.367"></a>
<span class="sourceLineNo">368</span><a name="line.368"></a>
<span class="sourceLineNo">369</span> @Test<a name="line.369"></a>
<span class="sourceLineNo">370</span> public void testTimeRangeAfterCompaction() throws IOException {<a name="line.370"></a>
<span class="sourceLineNo">371</span> if (toCellChunkMap) {<a name="line.371"></a>
<span class="sourceLineNo">372</span> // set memstore to flat into CellChunkMap<a name="line.372"></a>
<span class="sourceLineNo">373</span> ((CompactingMemStore) memstore).setIndexType(CompactingMemStore.IndexType.CHUNK_MAP);<a name="line.373"></a>
<span class="sourceLineNo">374</span> }<a name="line.374"></a>
<span class="sourceLineNo">375</span> testTimeRange(true);<a name="line.375"></a>
<span class="sourceLineNo">376</span> }<a name="line.376"></a>
<span class="sourceLineNo">377</span><a name="line.377"></a>
<span class="sourceLineNo">378</span> @Test<a name="line.378"></a>
<span class="sourceLineNo">379</span> public void testTimeRangeAfterMerge() throws IOException {<a name="line.379"></a>
<span class="sourceLineNo">380</span> if (toCellChunkMap) {<a name="line.380"></a>
<span class="sourceLineNo">381</span> // set memstore to flat into CellChunkMap<a name="line.381"></a>
<span class="sourceLineNo">382</span> ((CompactingMemStore) memstore).setIndexType(CompactingMemStore.IndexType.CHUNK_MAP);<a name="line.382"></a>
<span class="sourceLineNo">383</span> }<a name="line.383"></a>
<span class="sourceLineNo">384</span> MemoryCompactionPolicy compactionType = MemoryCompactionPolicy.BASIC;<a name="line.384"></a>
<span class="sourceLineNo">385</span> memstore.getConfiguration().set(CompactingMemStore.COMPACTING_MEMSTORE_TYPE_KEY,<a name="line.385"></a>
<span class="sourceLineNo">386</span> String.valueOf(compactionType));<a name="line.386"></a>
<span class="sourceLineNo">387</span> ((MyCompactingMemStore) memstore).initiateType(compactionType, memstore.getConfiguration());<a name="line.387"></a>
<span class="sourceLineNo">388</span> testTimeRange(false);<a name="line.388"></a>
<span class="sourceLineNo">389</span> }<a name="line.389"></a>
<span class="sourceLineNo">390</span><a name="line.390"></a>
<span class="sourceLineNo">391</span> private void testTimeRange(boolean isCompaction) throws IOException {<a name="line.391"></a>
<span class="sourceLineNo">392</span> final long initTs = 100;<a name="line.392"></a>
<span class="sourceLineNo">393</span> long currentTs = initTs;<a name="line.393"></a>
<span class="sourceLineNo">394</span> byte[] row = Bytes.toBytes("row");<a name="line.394"></a>
<span class="sourceLineNo">395</span> byte[] family = Bytes.toBytes("family");<a name="line.395"></a>
<span class="sourceLineNo">396</span> byte[] qf1 = Bytes.toBytes("qf1");<a name="line.396"></a>
<span class="sourceLineNo">397</span><a name="line.397"></a>
<span class="sourceLineNo">398</span> // first segment in pipeline<a name="line.398"></a>
<span class="sourceLineNo">399</span> this.memstore.add(new KeyValue(row, family, qf1, ++currentTs, (byte[]) null), null);<a name="line.399"></a>
<span class="sourceLineNo">400</span> long minTs = currentTs;<a name="line.400"></a>
<span class="sourceLineNo">401</span> this.memstore.add(new KeyValue(row, family, qf1, ++currentTs, (byte[]) null), null);<a name="line.401"></a>
<span class="sourceLineNo">402</span><a name="line.402"></a>
<span class="sourceLineNo">403</span> long numberOfCell = 2;<a name="line.403"></a>
<span class="sourceLineNo">404</span> assertEquals(numberOfCell,<a name="line.404"></a>
<span class="sourceLineNo">405</span> memstore.getSegments().stream().mapToInt(Segment::getCellsCount).sum());<a name="line.405"></a>
<span class="sourceLineNo">406</span> assertEquals(minTs, memstore.getSegments().stream()<a name="line.406"></a>
<span class="sourceLineNo">407</span> .mapToLong(m -&gt; m.getTimeRangeTracker().getMin()).min().getAsLong());<a name="line.407"></a>
<span class="sourceLineNo">408</span> assertEquals(currentTs, memstore.getSegments().stream()<a name="line.408"></a>
<span class="sourceLineNo">409</span> .mapToLong(m -&gt; m.getTimeRangeTracker().getMax()).max().getAsLong());<a name="line.409"></a>
<span class="sourceLineNo">410</span><a name="line.410"></a>
<span class="sourceLineNo">411</span> ((CompactingMemStore) memstore).flushInMemory();<a name="line.411"></a>
<span class="sourceLineNo">412</span><a name="line.412"></a>
<span class="sourceLineNo">413</span> while (((CompactingMemStore) memstore).isMemStoreFlushingInMemory()) {<a name="line.413"></a>
<span class="sourceLineNo">414</span> Threads.sleep(10);<a name="line.414"></a>
<span class="sourceLineNo">415</span> }<a name="line.415"></a>
<span class="sourceLineNo">416</span> if (isCompaction) {<a name="line.416"></a>
<span class="sourceLineNo">417</span> // max version = 1, so one cell will be dropped.<a name="line.417"></a>
<span class="sourceLineNo">418</span> numberOfCell = 1;<a name="line.418"></a>
<span class="sourceLineNo">419</span> minTs = currentTs;<a name="line.419"></a>
<span class="sourceLineNo">420</span> }<a name="line.420"></a>
<span class="sourceLineNo">421</span> // second segment in pipeline<a name="line.421"></a>
<span class="sourceLineNo">422</span> this.memstore.add(new KeyValue(row, family, qf1, ++currentTs, (byte[]) null), null);<a name="line.422"></a>
<span class="sourceLineNo">423</span> this.memstore.add(new KeyValue(row, family, qf1, ++currentTs, (byte[]) null), null);<a name="line.423"></a>
<span class="sourceLineNo">424</span> numberOfCell += 2;<a name="line.424"></a>
<span class="sourceLineNo">425</span> assertEquals(numberOfCell,<a name="line.425"></a>
<span class="sourceLineNo">426</span> memstore.getSegments().stream().mapToInt(Segment::getCellsCount).sum());<a name="line.426"></a>
<span class="sourceLineNo">427</span> assertEquals(minTs, memstore.getSegments().stream()<a name="line.427"></a>
<span class="sourceLineNo">428</span> .mapToLong(m -&gt; m.getTimeRangeTracker().getMin()).min().getAsLong());<a name="line.428"></a>
<span class="sourceLineNo">429</span> assertEquals(currentTs, memstore.getSegments().stream()<a name="line.429"></a>
<span class="sourceLineNo">430</span> .mapToLong(m -&gt; m.getTimeRangeTracker().getMax()).max().getAsLong());<a name="line.430"></a>
<span class="sourceLineNo">431</span><a name="line.431"></a>
<span class="sourceLineNo">432</span> ((CompactingMemStore) memstore).flushInMemory(); // trigger the merge<a name="line.432"></a>
<span class="sourceLineNo">433</span><a name="line.433"></a>
<span class="sourceLineNo">434</span> while (((CompactingMemStore) memstore).isMemStoreFlushingInMemory()) {<a name="line.434"></a>
<span class="sourceLineNo">435</span> Threads.sleep(10);<a name="line.435"></a>
<span class="sourceLineNo">436</span> }<a name="line.436"></a>
<span class="sourceLineNo">437</span> if (isCompaction) {<a name="line.437"></a>
<span class="sourceLineNo">438</span> // max version = 1, so one cell will be dropped.<a name="line.438"></a>
<span class="sourceLineNo">439</span> numberOfCell = 1;<a name="line.439"></a>
<span class="sourceLineNo">440</span> minTs = currentTs;<a name="line.440"></a>
<span class="sourceLineNo">441</span> }<a name="line.441"></a>
<span class="sourceLineNo">442</span><a name="line.442"></a>
<span class="sourceLineNo">443</span> assertEquals(numberOfCell,<a name="line.443"></a>
<span class="sourceLineNo">444</span> memstore.getSegments().stream().mapToInt(Segment::getCellsCount).sum());<a name="line.444"></a>
<span class="sourceLineNo">445</span> assertEquals(minTs, memstore.getSegments().stream()<a name="line.445"></a>
<span class="sourceLineNo">446</span> .mapToLong(m -&gt; m.getTimeRangeTracker().getMin()).min().getAsLong());<a name="line.446"></a>
<span class="sourceLineNo">447</span> assertEquals(currentTs, memstore.getSegments().stream()<a name="line.447"></a>
<span class="sourceLineNo">448</span> .mapToLong(m -&gt; m.getTimeRangeTracker().getMax()).max().getAsLong());<a name="line.448"></a>
<span class="sourceLineNo">449</span> }<a name="line.449"></a>
<span class="sourceLineNo">450</span><a name="line.450"></a>
<span class="sourceLineNo">451</span> @Test<a name="line.451"></a>
<span class="sourceLineNo">452</span> public void testCountOfCellsAfterFlatteningByScan() throws IOException {<a name="line.452"></a>
<span class="sourceLineNo">453</span> String[] keys1 = { "A", "B", "C" }; // A, B, C<a name="line.453"></a>
<span class="sourceLineNo">454</span> addRowsByKeysWith50Cols(memstore, keys1);<a name="line.454"></a>
<span class="sourceLineNo">455</span> // this should only flatten as there are no duplicates<a name="line.455"></a>
<span class="sourceLineNo">456</span> ((CompactingMemStore) memstore).flushInMemory();<a name="line.456"></a>
<span class="sourceLineNo">457</span> while (((CompactingMemStore) memstore).isMemStoreFlushingInMemory()) {<a name="line.457"></a>
<span class="sourceLineNo">458</span> Threads.sleep(10);<a name="line.458"></a>
<span class="sourceLineNo">459</span> }<a name="line.459"></a>
<span class="sourceLineNo">460</span> List&lt;KeyValueScanner&gt; scanners = memstore.getScanners(Long.MAX_VALUE);<a name="line.460"></a>
<span class="sourceLineNo">461</span> // seek<a name="line.461"></a>
<span class="sourceLineNo">462</span> int count = 0;<a name="line.462"></a>
<span class="sourceLineNo">463</span> for (int i = 0; i &lt; scanners.size(); i++) {<a name="line.463"></a>
<span class="sourceLineNo">464</span> scanners.get(i).seek(KeyValue.LOWESTKEY);<a name="line.464"></a>
<span class="sourceLineNo">465</span> while (scanners.get(i).next() != null) {<a name="line.465"></a>
<span class="sourceLineNo">466</span> count++;<a name="line.466"></a>
<span class="sourceLineNo">467</span> }<a name="line.467"></a>
<span class="sourceLineNo">468</span> }<a name="line.468"></a>
<span class="sourceLineNo">469</span> assertEquals("the count should be ", 150, count);<a name="line.469"></a>
<span class="sourceLineNo">470</span> for (int i = 0; i &lt; scanners.size(); i++) {<a name="line.470"></a>
<span class="sourceLineNo">471</span> scanners.get(i).close();<a name="line.471"></a>
<span class="sourceLineNo">472</span> }<a name="line.472"></a>
<span class="sourceLineNo">473</span> }<a name="line.473"></a>
<span class="sourceLineNo">474</span><a name="line.474"></a>
<span class="sourceLineNo">475</span> @Test<a name="line.475"></a>
<span class="sourceLineNo">476</span> public void testCountOfCellsAfterFlatteningByIterator() throws IOException {<a name="line.476"></a>
<span class="sourceLineNo">477</span> String[] keys1 = { "A", "B", "C" }; // A, B, C<a name="line.477"></a>
<span class="sourceLineNo">478</span> addRowsByKeysWith50Cols(memstore, keys1);<a name="line.478"></a>
<span class="sourceLineNo">479</span> // this should only flatten as there are no duplicates<a name="line.479"></a>
<span class="sourceLineNo">480</span> ((CompactingMemStore) memstore).flushInMemory();<a name="line.480"></a>
<span class="sourceLineNo">481</span> while (((CompactingMemStore) memstore).isMemStoreFlushingInMemory()) {<a name="line.481"></a>
<span class="sourceLineNo">482</span> Threads.sleep(10);<a name="line.482"></a>
<span class="sourceLineNo">483</span> }<a name="line.483"></a>
<span class="sourceLineNo">484</span> // Just doing the cnt operation here<a name="line.484"></a>
<span class="sourceLineNo">485</span> MemStoreSegmentsIterator itr = new MemStoreMergerSegmentsIterator(<a name="line.485"></a>
<span class="sourceLineNo">486</span> ((CompactingMemStore) memstore).getImmutableSegments().getStoreSegments(),<a name="line.486"></a>
<span class="sourceLineNo">487</span> CellComparatorImpl.COMPARATOR, 10);<a name="line.487"></a>
<span class="sourceLineNo">488</span> int cnt = 0;<a name="line.488"></a>
<span class="sourceLineNo">489</span> try {<a name="line.489"></a>
<span class="sourceLineNo">490</span> while (itr.next() != null) {<a name="line.490"></a>
<span class="sourceLineNo">491</span> cnt++;<a name="line.491"></a>
<span class="sourceLineNo">492</span> }<a name="line.492"></a>
<span class="sourceLineNo">493</span> } finally {<a name="line.493"></a>
<span class="sourceLineNo">494</span> itr.close();<a name="line.494"></a>
<span class="sourceLineNo">495</span> }<a name="line.495"></a>
<span class="sourceLineNo">496</span> assertEquals("the count should be ", 150, cnt);<a name="line.496"></a>
<span class="sourceLineNo">497</span> }<a name="line.497"></a>
<span class="sourceLineNo">498</span><a name="line.498"></a>
<span class="sourceLineNo">499</span> private void addRowsByKeysWith50Cols(AbstractMemStore hmc, String[] keys) {<a name="line.499"></a>
<span class="sourceLineNo">500</span> byte[] fam = Bytes.toBytes("testfamily");<a name="line.500"></a>
<span class="sourceLineNo">501</span> for (int i = 0; i &lt; keys.length; i++) {<a name="line.501"></a>
<span class="sourceLineNo">502</span> long timestamp = EnvironmentEdgeManager.currentTime();<a name="line.502"></a>
<span class="sourceLineNo">503</span> Threads.sleep(1); // to make sure each kv gets a different ts<a name="line.503"></a>
<span class="sourceLineNo">504</span> byte[] row = Bytes.toBytes(keys[i]);<a name="line.504"></a>
<span class="sourceLineNo">505</span> for (int j = 0; j &lt; 50; j++) {<a name="line.505"></a>
<span class="sourceLineNo">506</span> byte[] qf = Bytes.toBytes("testqualifier" + j);<a name="line.506"></a>
<span class="sourceLineNo">507</span> byte[] val = Bytes.toBytes(keys[i] + j);<a name="line.507"></a>
<span class="sourceLineNo">508</span> KeyValue kv = new KeyValue(row, fam, qf, timestamp, val);<a name="line.508"></a>
<span class="sourceLineNo">509</span> hmc.add(kv, null);<a name="line.509"></a>
<span class="sourceLineNo">510</span> }<a name="line.510"></a>
<span class="sourceLineNo">511</span> }<a name="line.511"></a>
<span class="sourceLineNo">512</span> }<a name="line.512"></a>
<span class="sourceLineNo">513</span><a name="line.513"></a>
<span class="sourceLineNo">514</span> @Override<a name="line.514"></a>
<span class="sourceLineNo">515</span> @Test<a name="line.515"></a>
<span class="sourceLineNo">516</span> public void testPuttingBackChunksWithOpeningScanner() throws IOException {<a name="line.516"></a>
<span class="sourceLineNo">517</span> byte[] row = Bytes.toBytes("testrow");<a name="line.517"></a>
<span class="sourceLineNo">518</span> byte[] fam = Bytes.toBytes("testfamily");<a name="line.518"></a>
<span class="sourceLineNo">519</span> byte[] qf1 = Bytes.toBytes("testqualifier1");<a name="line.519"></a>
<span class="sourceLineNo">520</span> byte[] qf2 = Bytes.toBytes("testqualifier2");<a name="line.520"></a>
<span class="sourceLineNo">521</span> byte[] qf3 = Bytes.toBytes("testqualifier3");<a name="line.521"></a>
<span class="sourceLineNo">522</span> byte[] qf4 = Bytes.toBytes("testqualifier4");<a name="line.522"></a>
<span class="sourceLineNo">523</span> byte[] qf5 = Bytes.toBytes("testqualifier5");<a name="line.523"></a>
<span class="sourceLineNo">524</span> byte[] qf6 = Bytes.toBytes("testqualifier6");<a name="line.524"></a>
<span class="sourceLineNo">525</span> byte[] qf7 = Bytes.toBytes("testqualifier7");<a name="line.525"></a>
<span class="sourceLineNo">526</span> byte[] val = Bytes.toBytes("testval");<a name="line.526"></a>
<span class="sourceLineNo">527</span><a name="line.527"></a>
<span class="sourceLineNo">528</span> // Setting up memstore<a name="line.528"></a>
<span class="sourceLineNo">529</span> memstore.add(new KeyValue(row, fam, qf1, val), null);<a name="line.529"></a>
<span class="sourceLineNo">530</span> memstore.add(new KeyValue(row, fam, qf2, val), null);<a name="line.530"></a>
<span class="sourceLineNo">531</span> memstore.add(new KeyValue(row, fam, qf3, val), null);<a name="line.531"></a>
<span class="sourceLineNo">532</span><a name="line.532"></a>
<span class="sourceLineNo">533</span> // Creating a snapshot<a name="line.533"></a>
<span class="sourceLineNo">534</span> MemStoreSnapshot snapshot = memstore.snapshot();<a name="line.534"></a>
<span class="sourceLineNo">535</span> assertEquals(3, memstore.getSnapshot().getCellsCount());<a name="line.535"></a>
<span class="sourceLineNo">536</span><a name="line.536"></a>
<span class="sourceLineNo">537</span> // Adding value to "new" memstore<a name="line.537"></a>
<span class="sourceLineNo">538</span> assertEquals(0, memstore.getActive().getCellsCount());<a name="line.538"></a>
<span class="sourceLineNo">539</span> memstore.add(new KeyValue(row, fam, qf4, val), null);<a name="line.539"></a>
<span class="sourceLineNo">540</span> memstore.add(new KeyValue(row, fam, qf5, val), null);<a name="line.540"></a>
<span class="sourceLineNo">541</span> assertEquals(2, memstore.getActive().getCellsCount());<a name="line.541"></a>
<span class="sourceLineNo">542</span><a name="line.542"></a>
<span class="sourceLineNo">543</span> // opening scanner before clear the snapshot<a name="line.543"></a>
<span class="sourceLineNo">544</span> List&lt;KeyValueScanner&gt; scanners = memstore.getScanners(0);<a name="line.544"></a>
<span class="sourceLineNo">545</span> // Shouldn't putting back the chunks to pool,since some scanners are opening<a name="line.545"></a>
<span class="sourceLineNo">546</span> // based on their data<a name="line.546"></a>
<span class="sourceLineNo">547</span> // close the scanners<a name="line.547"></a>
<span class="sourceLineNo">548</span> for (KeyValueScanner scanner : snapshot.getScanners()) {<a name="line.548"></a>
<span class="sourceLineNo">549</span> scanner.close();<a name="line.549"></a>
<span class="sourceLineNo">550</span> }<a name="line.550"></a>
<span class="sourceLineNo">551</span> memstore.clearSnapshot(snapshot.getId());<a name="line.551"></a>
<span class="sourceLineNo">552</span><a name="line.552"></a>
<span class="sourceLineNo">553</span> assertTrue(chunkCreator.getPoolSize() == 0);<a name="line.553"></a>
<span class="sourceLineNo">554</span><a name="line.554"></a>
<span class="sourceLineNo">555</span> // Chunks will be put back to pool after close scanners;<a name="line.555"></a>
<span class="sourceLineNo">556</span> for (KeyValueScanner scanner : scanners) {<a name="line.556"></a>
<span class="sourceLineNo">557</span> scanner.close();<a name="line.557"></a>
<span class="sourceLineNo">558</span> }<a name="line.558"></a>
<span class="sourceLineNo">559</span> assertTrue(chunkCreator.getPoolSize() &gt; 0);<a name="line.559"></a>
<span class="sourceLineNo">560</span><a name="line.560"></a>
<span class="sourceLineNo">561</span> // clear chunks<a name="line.561"></a>
<span class="sourceLineNo">562</span> chunkCreator.clearChunksInPool();<a name="line.562"></a>
<span class="sourceLineNo">563</span><a name="line.563"></a>
<span class="sourceLineNo">564</span> // Creating another snapshot<a name="line.564"></a>
<span class="sourceLineNo">565</span><a name="line.565"></a>
<span class="sourceLineNo">566</span> snapshot = memstore.snapshot();<a name="line.566"></a>
<span class="sourceLineNo">567</span> // Adding more value<a name="line.567"></a>
<span class="sourceLineNo">568</span> memstore.add(new KeyValue(row, fam, qf6, val), null);<a name="line.568"></a>
<span class="sourceLineNo">569</span> memstore.add(new KeyValue(row, fam, qf7, val), null);<a name="line.569"></a>
<span class="sourceLineNo">570</span> // opening scanners<a name="line.570"></a>
<span class="sourceLineNo">571</span> scanners = memstore.getScanners(0);<a name="line.571"></a>
<span class="sourceLineNo">572</span> // close scanners before clear the snapshot<a name="line.572"></a>
<span class="sourceLineNo">573</span> for (KeyValueScanner scanner : scanners) {<a name="line.573"></a>
<span class="sourceLineNo">574</span> scanner.close();<a name="line.574"></a>
<span class="sourceLineNo">575</span> }<a name="line.575"></a>
<span class="sourceLineNo">576</span> // Since no opening scanner, the chunks of snapshot should be put back to<a name="line.576"></a>
<span class="sourceLineNo">577</span> // pool<a name="line.577"></a>
<span class="sourceLineNo">578</span> // close the scanners<a name="line.578"></a>
<span class="sourceLineNo">579</span> for (KeyValueScanner scanner : snapshot.getScanners()) {<a name="line.579"></a>
<span class="sourceLineNo">580</span> scanner.close();<a name="line.580"></a>
<span class="sourceLineNo">581</span> }<a name="line.581"></a>
<span class="sourceLineNo">582</span> memstore.clearSnapshot(snapshot.getId());<a name="line.582"></a>
<span class="sourceLineNo">583</span> assertTrue(chunkCreator.getPoolSize() &gt; 0);<a name="line.583"></a>
<span class="sourceLineNo">584</span> }<a name="line.584"></a>
<span class="sourceLineNo">585</span><a name="line.585"></a>
<span class="sourceLineNo">586</span> @Override<a name="line.586"></a>
<span class="sourceLineNo">587</span> @Test<a name="line.587"></a>
<span class="sourceLineNo">588</span> public void testPuttingBackChunksAfterFlushing() throws IOException {<a name="line.588"></a>
<span class="sourceLineNo">589</span> byte[] row = Bytes.toBytes("testrow");<a name="line.589"></a>
<span class="sourceLineNo">590</span> byte[] fam = Bytes.toBytes("testfamily");<a name="line.590"></a>
<span class="sourceLineNo">591</span> byte[] qf1 = Bytes.toBytes("testqualifier1");<a name="line.591"></a>
<span class="sourceLineNo">592</span> byte[] qf2 = Bytes.toBytes("testqualifier2");<a name="line.592"></a>
<span class="sourceLineNo">593</span> byte[] qf3 = Bytes.toBytes("testqualifier3");<a name="line.593"></a>
<span class="sourceLineNo">594</span> byte[] qf4 = Bytes.toBytes("testqualifier4");<a name="line.594"></a>
<span class="sourceLineNo">595</span> byte[] qf5 = Bytes.toBytes("testqualifier5");<a name="line.595"></a>
<span class="sourceLineNo">596</span> byte[] val = Bytes.toBytes("testval");<a name="line.596"></a>
<span class="sourceLineNo">597</span><a name="line.597"></a>
<span class="sourceLineNo">598</span> // Setting up memstore<a name="line.598"></a>
<span class="sourceLineNo">599</span> memstore.add(new KeyValue(row, fam, qf1, val), null);<a name="line.599"></a>
<span class="sourceLineNo">600</span> memstore.add(new KeyValue(row, fam, qf2, val), null);<a name="line.600"></a>
<span class="sourceLineNo">601</span> memstore.add(new KeyValue(row, fam, qf3, val), null);<a name="line.601"></a>
<span class="sourceLineNo">602</span><a name="line.602"></a>
<span class="sourceLineNo">603</span> // Creating a snapshot<a name="line.603"></a>
<span class="sourceLineNo">604</span> MemStoreSnapshot snapshot = memstore.snapshot();<a name="line.604"></a>
<span class="sourceLineNo">605</span> assertEquals(3, memstore.getSnapshot().getCellsCount());<a name="line.605"></a>
<span class="sourceLineNo">606</span><a name="line.606"></a>
<span class="sourceLineNo">607</span> // Adding value to "new" memstore<a name="line.607"></a>
<span class="sourceLineNo">608</span> assertEquals(0, memstore.getActive().getCellsCount());<a name="line.608"></a>
<span class="sourceLineNo">609</span> memstore.add(new KeyValue(row, fam, qf4, val), null);<a name="line.609"></a>
<span class="sourceLineNo">610</span> memstore.add(new KeyValue(row, fam, qf5, val), null);<a name="line.610"></a>
<span class="sourceLineNo">611</span> assertEquals(2, memstore.getActive().getCellsCount());<a name="line.611"></a>
<span class="sourceLineNo">612</span> // close the scanners<a name="line.612"></a>
<span class="sourceLineNo">613</span> for (KeyValueScanner scanner : snapshot.getScanners()) {<a name="line.613"></a>
<span class="sourceLineNo">614</span> scanner.close();<a name="line.614"></a>
<span class="sourceLineNo">615</span> }<a name="line.615"></a>
<span class="sourceLineNo">616</span> memstore.clearSnapshot(snapshot.getId());<a name="line.616"></a>
<span class="sourceLineNo">617</span><a name="line.617"></a>
<span class="sourceLineNo">618</span> int chunkCount = chunkCreator.getPoolSize();<a name="line.618"></a>
<span class="sourceLineNo">619</span> assertTrue(chunkCount &gt; 0);<a name="line.619"></a>
<span class="sourceLineNo">620</span> }<a name="line.620"></a>
<span class="sourceLineNo">621</span><a name="line.621"></a>
<span class="sourceLineNo">622</span> @Test<a name="line.622"></a>
<span class="sourceLineNo">623</span> public void testFlatteningToCellChunkMap() throws IOException {<a name="line.623"></a>
<span class="sourceLineNo">624</span><a name="line.624"></a>
<span class="sourceLineNo">625</span> // set memstore to flat into CellChunkMap<a name="line.625"></a>
<span class="sourceLineNo">626</span> MemoryCompactionPolicy compactionType = MemoryCompactionPolicy.BASIC;<a name="line.626"></a>
<span class="sourceLineNo">627</span> memstore.getConfiguration().set(CompactingMemStore.COMPACTING_MEMSTORE_TYPE_KEY,<a name="line.627"></a>
<span class="sourceLineNo">628</span> String.valueOf(compactionType));<a name="line.628"></a>
<span class="sourceLineNo">629</span> ((MyCompactingMemStore) memstore).initiateType(compactionType, memstore.getConfiguration());<a name="line.629"></a>
<span class="sourceLineNo">630</span> ((CompactingMemStore) memstore).setIndexType(CompactingMemStore.IndexType.CHUNK_MAP);<a name="line.630"></a>
<span class="sourceLineNo">631</span> int numOfCells = 8;<a name="line.631"></a>
<span class="sourceLineNo">632</span> String[] keys1 = { "A", "A", "B", "C", "D", "D", "E", "F" }; // A1, A2, B3, C4, D5, D6, E7, F8<a name="line.632"></a>
<span class="sourceLineNo">633</span><a name="line.633"></a>
<span class="sourceLineNo">634</span> // make one cell<a name="line.634"></a>
<span class="sourceLineNo">635</span> byte[] row = Bytes.toBytes(keys1[0]);<a name="line.635"></a>
<span class="sourceLineNo">636</span> byte[] val = Bytes.toBytes(keys1[0] + 0);<a name="line.636"></a>
<span class="sourceLineNo">637</span> KeyValue kv = new KeyValue(row, Bytes.toBytes("testfamily"), Bytes.toBytes("testqualifier"),<a name="line.637"></a>
<span class="sourceLineNo">638</span> EnvironmentEdgeManager.currentTime(), val);<a name="line.638"></a>
<span class="sourceLineNo">639</span><a name="line.639"></a>
<span class="sourceLineNo">640</span> // test 1 bucket<a name="line.640"></a>
<span class="sourceLineNo">641</span> int totalCellsLen = addRowsByKeys(memstore, keys1);<a name="line.641"></a>
<span class="sourceLineNo">642</span> long oneCellOnCSLMHeapSize = ClassSize.align(<a name="line.642"></a>
<span class="sourceLineNo">643</span> ClassSize.CONCURRENT_SKIPLISTMAP_ENTRY + KeyValue.FIXED_OVERHEAD + kv.getSerializedSize());<a name="line.643"></a>
<span class="sourceLineNo">644</span><a name="line.644"></a>
<span class="sourceLineNo">645</span> long totalHeapSize = numOfCells * oneCellOnCSLMHeapSize + MutableSegment.DEEP_OVERHEAD;<a name="line.645"></a>
<span class="sourceLineNo">646</span> assertEquals(totalCellsLen, regionServicesForStores.getMemStoreSize());<a name="line.646"></a>
<span class="sourceLineNo">647</span> assertEquals(totalHeapSize, ((CompactingMemStore) memstore).heapSize());<a name="line.647"></a>
<span class="sourceLineNo">648</span><a name="line.648"></a>
<span class="sourceLineNo">649</span> ((CompactingMemStore) memstore).flushInMemory(); // push keys to pipeline and flatten<a name="line.649"></a>
<span class="sourceLineNo">650</span> assertEquals(0, memstore.getSnapshot().getCellsCount());<a name="line.650"></a>
<span class="sourceLineNo">651</span> long oneCellOnCCMHeapSize =<a name="line.651"></a>
<span class="sourceLineNo">652</span> ClassSize.CELL_CHUNK_MAP_ENTRY + ClassSize.align(kv.getSerializedSize());<a name="line.652"></a>
<span class="sourceLineNo">653</span> totalHeapSize = MutableSegment.DEEP_OVERHEAD + CellChunkImmutableSegment.DEEP_OVERHEAD_CCM<a name="line.653"></a>
<span class="sourceLineNo">654</span> + numOfCells * oneCellOnCCMHeapSize;<a name="line.654"></a>
<span class="sourceLineNo">655</span><a name="line.655"></a>
<span class="sourceLineNo">656</span> assertEquals(totalCellsLen, regionServicesForStores.getMemStoreSize());<a name="line.656"></a>
<span class="sourceLineNo">657</span> assertEquals(totalHeapSize, ((CompactingMemStore) memstore).heapSize());<a name="line.657"></a>
<span class="sourceLineNo">658</span><a name="line.658"></a>
<span class="sourceLineNo">659</span> MemStoreSize mss = memstore.getFlushableSize();<a name="line.659"></a>
<span class="sourceLineNo">660</span> MemStoreSnapshot snapshot = memstore.snapshot(); // push keys to snapshot<a name="line.660"></a>
<span class="sourceLineNo">661</span> // simulate flusher<a name="line.661"></a>
<span class="sourceLineNo">662</span> region.decrMemStoreSize(mss);<a name="line.662"></a>
<span class="sourceLineNo">663</span> ImmutableSegment s = memstore.getSnapshot();<a name="line.663"></a>
<span class="sourceLineNo">664</span> assertEquals(numOfCells, s.getCellsCount());<a name="line.664"></a>
<span class="sourceLineNo">665</span> assertEquals(0, regionServicesForStores.getMemStoreSize());<a name="line.665"></a>
<span class="sourceLineNo">666</span><a name="line.666"></a>
<span class="sourceLineNo">667</span> memstore.clearSnapshot(snapshot.getId());<a name="line.667"></a>
<span class="sourceLineNo">668</span> }<a name="line.668"></a>
<span class="sourceLineNo">669</span><a name="line.669"></a>
<span class="sourceLineNo">670</span> /**<a name="line.670"></a>
<span class="sourceLineNo">671</span> * CellChunkMap Segment index requires all cell data to be written in the MSLAB Chunks. Even<a name="line.671"></a>
<span class="sourceLineNo">672</span> * though MSLAB is enabled, cells bigger than maxAlloc (even if smaller than the size of a chunk)<a name="line.672"></a>
<span class="sourceLineNo">673</span> * are not written in the MSLAB Chunks. If such cells are found in the process of flattening into<a name="line.673"></a>
<span class="sourceLineNo">674</span> * CellChunkMap (in-memory-flush) they need to be copied into MSLAB.<a name="line.674"></a>
<span class="sourceLineNo">675</span> * testFlatteningToBigCellChunkMap checks that the process of flattening into CellChunkMap<a name="line.675"></a>
<span class="sourceLineNo">676</span> * succeeds, even when such big cells are allocated.<a name="line.676"></a>
<span class="sourceLineNo">677</span> */<a name="line.677"></a>
<span class="sourceLineNo">678</span> @Test<a name="line.678"></a>
<span class="sourceLineNo">679</span> public void testFlatteningToBigCellChunkMap() throws IOException {<a name="line.679"></a>
<span class="sourceLineNo">680</span><a name="line.680"></a>
<span class="sourceLineNo">681</span> if (toCellChunkMap == false) {<a name="line.681"></a>
<span class="sourceLineNo">682</span> return;<a name="line.682"></a>
<span class="sourceLineNo">683</span> }<a name="line.683"></a>
<span class="sourceLineNo">684</span> // set memstore to flat into CellChunkMap<a name="line.684"></a>
<span class="sourceLineNo">685</span> MemoryCompactionPolicy compactionType = MemoryCompactionPolicy.BASIC;<a name="line.685"></a>
<span class="sourceLineNo">686</span> memstore.getConfiguration().set(CompactingMemStore.COMPACTING_MEMSTORE_TYPE_KEY,<a name="line.686"></a>
<span class="sourceLineNo">687</span> String.valueOf(compactionType));<a name="line.687"></a>
<span class="sourceLineNo">688</span> ((MyCompactingMemStore) memstore).initiateType(compactionType, memstore.getConfiguration());<a name="line.688"></a>
<span class="sourceLineNo">689</span> ((CompactingMemStore) memstore).setIndexType(CompactingMemStore.IndexType.CHUNK_MAP);<a name="line.689"></a>
<span class="sourceLineNo">690</span> int numOfCells = 4;<a name="line.690"></a>
<span class="sourceLineNo">691</span> char[] chars = new char[MemStoreLAB.MAX_ALLOC_DEFAULT];<a name="line.691"></a>
<span class="sourceLineNo">692</span> for (int i = 0; i &lt; chars.length; i++) {<a name="line.692"></a>
<span class="sourceLineNo">693</span> chars[i] = 'A';<a name="line.693"></a>
<span class="sourceLineNo">694</span> }<a name="line.694"></a>
<span class="sourceLineNo">695</span> String bigVal = new String(chars);<a name="line.695"></a>
<span class="sourceLineNo">696</span> String[] keys1 = { "A", "B", "C", "D" };<a name="line.696"></a>
<span class="sourceLineNo">697</span><a name="line.697"></a>
<span class="sourceLineNo">698</span> // make one cell<a name="line.698"></a>
<span class="sourceLineNo">699</span> byte[] row = Bytes.toBytes(keys1[0]);<a name="line.699"></a>
<span class="sourceLineNo">700</span> byte[] val = Bytes.toBytes(bigVal);<a name="line.700"></a>
<span class="sourceLineNo">701</span> KeyValue kv = new KeyValue(row, Bytes.toBytes("testfamily"), Bytes.toBytes("testqualifier"),<a name="line.701"></a>
<span class="sourceLineNo">702</span> EnvironmentEdgeManager.currentTime(), val);<a name="line.702"></a>
<span class="sourceLineNo">703</span><a name="line.703"></a>
<span class="sourceLineNo">704</span> // test 1 bucket<a name="line.704"></a>
<span class="sourceLineNo">705</span> int totalCellsLen = addRowsByKeys(memstore, keys1, val);<a name="line.705"></a>
<span class="sourceLineNo">706</span><a name="line.706"></a>
<span class="sourceLineNo">707</span> long oneCellOnCSLMHeapSize =<a name="line.707"></a>
<span class="sourceLineNo">708</span> ClassSize.align(ClassSize.CONCURRENT_SKIPLISTMAP_ENTRY + kv.heapSize());<a name="line.708"></a>
<span class="sourceLineNo">709</span><a name="line.709"></a>
<span class="sourceLineNo">710</span> long totalHeapSize = numOfCells * oneCellOnCSLMHeapSize + MutableSegment.DEEP_OVERHEAD;<a name="line.710"></a>
<span class="sourceLineNo">711</span> assertEquals(totalCellsLen, regionServicesForStores.getMemStoreSize());<a name="line.711"></a>
<span class="sourceLineNo">712</span> assertEquals(totalHeapSize, ((CompactingMemStore) memstore).heapSize());<a name="line.712"></a>
<span class="sourceLineNo">713</span><a name="line.713"></a>
<span class="sourceLineNo">714</span> ((CompactingMemStore) memstore).flushInMemory(); // push keys to pipeline and flatten<a name="line.714"></a>
<span class="sourceLineNo">715</span> while (((CompactingMemStore) memstore).isMemStoreFlushingInMemory()) {<a name="line.715"></a>
<span class="sourceLineNo">716</span> Threads.sleep(10);<a name="line.716"></a>
<span class="sourceLineNo">717</span> }<a name="line.717"></a>
<span class="sourceLineNo">718</span> assertEquals(0, memstore.getSnapshot().getCellsCount());<a name="line.718"></a>
<span class="sourceLineNo">719</span> // One cell is duplicated, but it shouldn't be compacted because we are in BASIC mode.<a name="line.719"></a>
<span class="sourceLineNo">720</span> // totalCellsLen should remain the same<a name="line.720"></a>
<span class="sourceLineNo">721</span> long oneCellOnCCMHeapSize =<a name="line.721"></a>
<span class="sourceLineNo">722</span> ClassSize.CELL_CHUNK_MAP_ENTRY + ClassSize.align(kv.getSerializedSize());<a name="line.722"></a>
<span class="sourceLineNo">723</span> totalHeapSize = MutableSegment.DEEP_OVERHEAD + CellChunkImmutableSegment.DEEP_OVERHEAD_CCM<a name="line.723"></a>
<span class="sourceLineNo">724</span> + numOfCells * oneCellOnCCMHeapSize;<a name="line.724"></a>
<span class="sourceLineNo">725</span><a name="line.725"></a>
<span class="sourceLineNo">726</span> assertEquals(totalCellsLen, regionServicesForStores.getMemStoreSize());<a name="line.726"></a>
<span class="sourceLineNo">727</span> assertEquals(totalHeapSize, ((CompactingMemStore) memstore).heapSize());<a name="line.727"></a>
<span class="sourceLineNo">728</span><a name="line.728"></a>
<span class="sourceLineNo">729</span> MemStoreSize mss = memstore.getFlushableSize();<a name="line.729"></a>
<span class="sourceLineNo">730</span> MemStoreSnapshot snapshot = memstore.snapshot(); // push keys to snapshot<a name="line.730"></a>
<span class="sourceLineNo">731</span> // simulate flusher<a name="line.731"></a>
<span class="sourceLineNo">732</span> region.decrMemStoreSize(mss);<a name="line.732"></a>
<span class="sourceLineNo">733</span> ImmutableSegment s = memstore.getSnapshot();<a name="line.733"></a>
<span class="sourceLineNo">734</span> assertEquals(numOfCells, s.getCellsCount());<a name="line.734"></a>
<span class="sourceLineNo">735</span> assertEquals(0, regionServicesForStores.getMemStoreSize());<a name="line.735"></a>
<span class="sourceLineNo">736</span><a name="line.736"></a>
<span class="sourceLineNo">737</span> memstore.clearSnapshot(snapshot.getId());<a name="line.737"></a>
<span class="sourceLineNo">738</span> }<a name="line.738"></a>
<span class="sourceLineNo">739</span><a name="line.739"></a>
<span class="sourceLineNo">740</span> /**<a name="line.740"></a>
<span class="sourceLineNo">741</span> * CellChunkMap Segment index requires all cell data to be written in the MSLAB Chunks. Even<a name="line.741"></a>
<span class="sourceLineNo">742</span> * though MSLAB is enabled, cells bigger than the size of a chunk are not written in the MSLAB<a name="line.742"></a>
<span class="sourceLineNo">743</span> * Chunks. If such cells are found in the process of flattening into CellChunkMap<a name="line.743"></a>
<span class="sourceLineNo">744</span> * (in-memory-flush) they need to be copied into MSLAB. testFlatteningToJumboCellChunkMap checks<a name="line.744"></a>
<span class="sourceLineNo">745</span> * that the process of flattening into CellChunkMap succeeds, even when such big cells are<a name="line.745"></a>
<span class="sourceLineNo">746</span> * allocated.<a name="line.746"></a>
<span class="sourceLineNo">747</span> */<a name="line.747"></a>
<span class="sourceLineNo">748</span> @Test<a name="line.748"></a>
<span class="sourceLineNo">749</span> public void testFlatteningToJumboCellChunkMap() throws IOException {<a name="line.749"></a>
<span class="sourceLineNo">750</span><a name="line.750"></a>
<span class="sourceLineNo">751</span> if (toCellChunkMap == false) {<a name="line.751"></a>
<span class="sourceLineNo">752</span> return;<a name="line.752"></a>
<span class="sourceLineNo">753</span> }<a name="line.753"></a>
<span class="sourceLineNo">754</span> // set memstore to flat into CellChunkMap<a name="line.754"></a>
<span class="sourceLineNo">755</span> MemoryCompactionPolicy compactionType = MemoryCompactionPolicy.BASIC;<a name="line.755"></a>
<span class="sourceLineNo">756</span> memstore.getConfiguration().set(CompactingMemStore.COMPACTING_MEMSTORE_TYPE_KEY,<a name="line.756"></a>
<span class="sourceLineNo">757</span> String.valueOf(compactionType));<a name="line.757"></a>
<span class="sourceLineNo">758</span> ((MyCompactingMemStore) memstore).initiateType(compactionType, memstore.getConfiguration());<a name="line.758"></a>
<span class="sourceLineNo">759</span> ((CompactingMemStore) memstore).setIndexType(CompactingMemStore.IndexType.CHUNK_MAP);<a name="line.759"></a>
<span class="sourceLineNo">760</span><a name="line.760"></a>
<span class="sourceLineNo">761</span> int numOfCells = 1;<a name="line.761"></a>
<span class="sourceLineNo">762</span> char[] chars = new char[MemStoreLAB.CHUNK_SIZE_DEFAULT];<a name="line.762"></a>
<span class="sourceLineNo">763</span> for (int i = 0; i &lt; chars.length; i++) {<a name="line.763"></a>
<span class="sourceLineNo">764</span> chars[i] = 'A';<a name="line.764"></a>
<span class="sourceLineNo">765</span> }<a name="line.765"></a>
<span class="sourceLineNo">766</span> String bigVal = new String(chars);<a name="line.766"></a>
<span class="sourceLineNo">767</span> String[] keys1 = { "A" };<a name="line.767"></a>
<span class="sourceLineNo">768</span><a name="line.768"></a>
<span class="sourceLineNo">769</span> // make one cell<a name="line.769"></a>
<span class="sourceLineNo">770</span> byte[] row = Bytes.toBytes(keys1[0]);<a name="line.770"></a>
<span class="sourceLineNo">771</span> byte[] val = Bytes.toBytes(bigVal);<a name="line.771"></a>
<span class="sourceLineNo">772</span> KeyValue kv = new KeyValue(row, Bytes.toBytes("testfamily"), Bytes.toBytes("testqualifier"),<a name="line.772"></a>
<span class="sourceLineNo">773</span> EnvironmentEdgeManager.currentTime(), val);<a name="line.773"></a>
<span class="sourceLineNo">774</span><a name="line.774"></a>
<span class="sourceLineNo">775</span> // test 1 bucket<a name="line.775"></a>
<span class="sourceLineNo">776</span> int totalCellsLen = addRowsByKeys(memstore, keys1, val);<a name="line.776"></a>
<span class="sourceLineNo">777</span><a name="line.777"></a>
<span class="sourceLineNo">778</span> long oneCellOnCSLMHeapSize =<a name="line.778"></a>
<span class="sourceLineNo">779</span> ClassSize.align(ClassSize.CONCURRENT_SKIPLISTMAP_ENTRY + kv.heapSize());<a name="line.779"></a>
<span class="sourceLineNo">780</span><a name="line.780"></a>
<span class="sourceLineNo">781</span> long totalHeapSize = numOfCells * oneCellOnCSLMHeapSize + MutableSegment.DEEP_OVERHEAD;<a name="line.781"></a>
<span class="sourceLineNo">782</span> assertEquals(totalCellsLen, regionServicesForStores.getMemStoreSize());<a name="line.782"></a>
<span class="sourceLineNo">783</span> assertEquals(totalHeapSize, ((CompactingMemStore) memstore).heapSize());<a name="line.783"></a>
<span class="sourceLineNo">784</span><a name="line.784"></a>
<span class="sourceLineNo">785</span> ((CompactingMemStore) memstore).flushInMemory(); // push keys to pipeline and flatten<a name="line.785"></a>
<span class="sourceLineNo">786</span> while (((CompactingMemStore) memstore).isMemStoreFlushingInMemory()) {<a name="line.786"></a>
<span class="sourceLineNo">787</span> Threads.sleep(10);<a name="line.787"></a>
<span class="sourceLineNo">788</span> }<a name="line.788"></a>
<span class="sourceLineNo">789</span> assertEquals(0, memstore.getSnapshot().getCellsCount());<a name="line.789"></a>
<span class="sourceLineNo">790</span><a name="line.790"></a>
<span class="sourceLineNo">791</span> // One cell is duplicated, but it shouldn't be compacted because we are in BASIC mode.<a name="line.791"></a>
<span class="sourceLineNo">792</span> // totalCellsLen should remain the same<a name="line.792"></a>
<span class="sourceLineNo">793</span> long oneCellOnCCMHeapSize =<a name="line.793"></a>
<span class="sourceLineNo">794</span> (long) ClassSize.CELL_CHUNK_MAP_ENTRY + ClassSize.align(kv.getSerializedSize());<a name="line.794"></a>
<span class="sourceLineNo">795</span> totalHeapSize = MutableSegment.DEEP_OVERHEAD + CellChunkImmutableSegment.DEEP_OVERHEAD_CCM<a name="line.795"></a>
<span class="sourceLineNo">796</span> + numOfCells * oneCellOnCCMHeapSize;<a name="line.796"></a>
<span class="sourceLineNo">797</span><a name="line.797"></a>
<span class="sourceLineNo">798</span> assertEquals(totalCellsLen, regionServicesForStores.getMemStoreSize());<a name="line.798"></a>
<span class="sourceLineNo">799</span><a name="line.799"></a>
<span class="sourceLineNo">800</span> assertEquals(totalHeapSize, ((CompactingMemStore) memstore).heapSize());<a name="line.800"></a>
<span class="sourceLineNo">801</span><a name="line.801"></a>
<span class="sourceLineNo">802</span> MemStoreSize mss = memstore.getFlushableSize();<a name="line.802"></a>
<span class="sourceLineNo">803</span> MemStoreSnapshot snapshot = memstore.snapshot(); // push keys to snapshot<a name="line.803"></a>
<span class="sourceLineNo">804</span> // simulate flusher<a name="line.804"></a>
<span class="sourceLineNo">805</span> region.decrMemStoreSize(mss);<a name="line.805"></a>
<span class="sourceLineNo">806</span> ImmutableSegment s = memstore.getSnapshot();<a name="line.806"></a>
<span class="sourceLineNo">807</span> assertEquals(numOfCells, s.getCellsCount());<a name="line.807"></a>
<span class="sourceLineNo">808</span> assertEquals(0, regionServicesForStores.getMemStoreSize());<a name="line.808"></a>
<span class="sourceLineNo">809</span><a name="line.809"></a>
<span class="sourceLineNo">810</span> memstore.clearSnapshot(snapshot.getId());<a name="line.810"></a>
<span class="sourceLineNo">811</span><a name="line.811"></a>
<span class="sourceLineNo">812</span> // Allocating two big cells (too big for being copied into a regular chunk).<a name="line.812"></a>
<span class="sourceLineNo">813</span> String[] keys2 = { "C", "D" };<a name="line.813"></a>
<span class="sourceLineNo">814</span> addRowsByKeys(memstore, keys2, val);<a name="line.814"></a>
<span class="sourceLineNo">815</span> while (((CompactingMemStore) memstore).isMemStoreFlushingInMemory()) {<a name="line.815"></a>
<span class="sourceLineNo">816</span> Threads.sleep(10);<a name="line.816"></a>
<span class="sourceLineNo">817</span> }<a name="line.817"></a>
<span class="sourceLineNo">818</span><a name="line.818"></a>
<span class="sourceLineNo">819</span> // The in-memory flush size is bigger than the size of a single cell,<a name="line.819"></a>
<span class="sourceLineNo">820</span> // but smaller than the size of two cells.<a name="line.820"></a>
<span class="sourceLineNo">821</span> // Therefore, the two created cells are flushed together as a single CSLMImmutableSegment and<a name="line.821"></a>
<span class="sourceLineNo">822</span> // flattened.<a name="line.822"></a>
<span class="sourceLineNo">823</span> totalHeapSize = MutableSegment.DEEP_OVERHEAD + CellChunkImmutableSegment.DEEP_OVERHEAD_CCM<a name="line.823"></a>
<span class="sourceLineNo">824</span> + 2 * oneCellOnCCMHeapSize;<a name="line.824"></a>
<span class="sourceLineNo">825</span> assertEquals(totalHeapSize, ((CompactingMemStore) memstore).heapSize());<a name="line.825"></a>
<span class="sourceLineNo">826</span> }<a name="line.826"></a>
<span class="sourceLineNo">827</span><a name="line.827"></a>
<span class="sourceLineNo">828</span> /**<a name="line.828"></a>
<span class="sourceLineNo">829</span> * CellChunkMap Segment index requires all cell data to be written in the MSLAB Chunks. Even<a name="line.829"></a>
<span class="sourceLineNo">830</span> * though MSLAB is enabled, cells bigger than the size of a chunk are not written in the MSLAB<a name="line.830"></a>
<span class="sourceLineNo">831</span> * Chunks. If such cells are found in the process of a merge they need to be copied into MSLAB.<a name="line.831"></a>
<span class="sourceLineNo">832</span> * testForceCopyOfBigCellIntoImmutableSegment checks that the ImmutableMemStoreLAB's<a name="line.832"></a>
<span class="sourceLineNo">833</span> * forceCopyOfBigCellInto does what it's supposed to do.<a name="line.833"></a>
<span class="sourceLineNo">834</span> */<a name="line.834"></a>
<span class="sourceLineNo">835</span> @org.junit.Ignore<a name="line.835"></a>
<span class="sourceLineNo">836</span> @Test // Flakey. Disabled by HBASE-24128. HBASE-24129 is for reenable.<a name="line.836"></a>
<span class="sourceLineNo">837</span> // TestCompactingToCellFlatMapMemStore.testForceCopyOfBigCellIntoImmutableSegment:902 i=1<a name="line.837"></a>
<span class="sourceLineNo">838</span> // expected:&lt;8389924&gt; but was:&lt;8389992&gt;<a name="line.838"></a>
<span class="sourceLineNo">839</span> public void testForceCopyOfBigCellIntoImmutableSegment() throws IOException {<a name="line.839"></a>
<span class="sourceLineNo">840</span><a name="line.840"></a>
<span class="sourceLineNo">841</span> if (toCellChunkMap == false) {<a name="line.841"></a>
<span class="sourceLineNo">842</span> return;<a name="line.842"></a>
<span class="sourceLineNo">843</span> }<a name="line.843"></a>
<span class="sourceLineNo">844</span><a name="line.844"></a>
<span class="sourceLineNo">845</span> // set memstore to flat into CellChunkMap<a name="line.845"></a>
<span class="sourceLineNo">846</span> MemoryCompactionPolicy compactionType = MemoryCompactionPolicy.BASIC;<a name="line.846"></a>
<span class="sourceLineNo">847</span> memstore.getConfiguration().setInt(MemStoreCompactionStrategy.COMPACTING_MEMSTORE_THRESHOLD_KEY,<a name="line.847"></a>
<span class="sourceLineNo">848</span> 4);<a name="line.848"></a>
<span class="sourceLineNo">849</span> memstore.getConfiguration().setDouble(CompactingMemStore.IN_MEMORY_FLUSH_THRESHOLD_FACTOR_KEY,<a name="line.849"></a>
<span class="sourceLineNo">850</span> 0.014);<a name="line.850"></a>
<span class="sourceLineNo">851</span> memstore.getConfiguration().set(CompactingMemStore.COMPACTING_MEMSTORE_TYPE_KEY,<a name="line.851"></a>
<span class="sourceLineNo">852</span> String.valueOf(compactionType));<a name="line.852"></a>
<span class="sourceLineNo">853</span> ((MyCompactingMemStore) memstore).initiateType(compactionType, memstore.getConfiguration());<a name="line.853"></a>
<span class="sourceLineNo">854</span> ((CompactingMemStore) memstore).setIndexType(CompactingMemStore.IndexType.CHUNK_MAP);<a name="line.854"></a>
<span class="sourceLineNo">855</span><a name="line.855"></a>
<span class="sourceLineNo">856</span> char[] chars = new char[MemStoreLAB.CHUNK_SIZE_DEFAULT];<a name="line.856"></a>
<span class="sourceLineNo">857</span> for (int i = 0; i &lt; chars.length; i++) {<a name="line.857"></a>
<span class="sourceLineNo">858</span> chars[i] = 'A';<a name="line.858"></a>
<span class="sourceLineNo">859</span> }<a name="line.859"></a>
<span class="sourceLineNo">860</span> String bigVal = new String(chars);<a name="line.860"></a>
<span class="sourceLineNo">861</span> byte[] val = Bytes.toBytes(bigVal);<a name="line.861"></a>
<span class="sourceLineNo">862</span><a name="line.862"></a>
<span class="sourceLineNo">863</span> // We need to add two cells, three times, in order to guarantee a merge<a name="line.863"></a>
<span class="sourceLineNo">864</span> List&lt;String[]&gt; keysList = new ArrayList&lt;&gt;();<a name="line.864"></a>
<span class="sourceLineNo">865</span> keysList.add(new String[] { "A", "B" });<a name="line.865"></a>
<span class="sourceLineNo">866</span> keysList.add(new String[] { "C", "D" });<a name="line.866"></a>
<span class="sourceLineNo">867</span> keysList.add(new String[] { "E", "F" });<a name="line.867"></a>
<span class="sourceLineNo">868</span> keysList.add(new String[] { "G", "H" });<a name="line.868"></a>
<span class="sourceLineNo">869</span><a name="line.869"></a>
<span class="sourceLineNo">870</span> // Measuring the size of a single kv<a name="line.870"></a>
<span class="sourceLineNo">871</span> KeyValue kv = new KeyValue(Bytes.toBytes("A"), Bytes.toBytes("testfamily"),<a name="line.871"></a>
<span class="sourceLineNo">872</span> Bytes.toBytes("testqualifier"), EnvironmentEdgeManager.currentTime(), val);<a name="line.872"></a>
<span class="sourceLineNo">873</span> long oneCellOnCCMHeapSize =<a name="line.873"></a>
<span class="sourceLineNo">874</span> (long) ClassSize.CELL_CHUNK_MAP_ENTRY + ClassSize.align(kv.getSerializedSize());<a name="line.874"></a>
<span class="sourceLineNo">875</span> long oneCellOnCSLMHeapSize =<a name="line.875"></a>
<span class="sourceLineNo">876</span> ClassSize.align(ClassSize.CONCURRENT_SKIPLISTMAP_ENTRY + kv.heapSize());<a name="line.876"></a>
<span class="sourceLineNo">877</span> long totalHeapSize = MutableSegment.DEEP_OVERHEAD;<a name="line.877"></a>
<span class="sourceLineNo">878</span> for (int i = 0; i &lt; keysList.size(); i++) {<a name="line.878"></a>
<span class="sourceLineNo">879</span> addRowsByKeys(memstore, keysList.get(i), val);<a name="line.879"></a>
<span class="sourceLineNo">880</span> while (((CompactingMemStore) memstore).isMemStoreFlushingInMemory()) {<a name="line.880"></a>
<span class="sourceLineNo">881</span> Threads.sleep(10);<a name="line.881"></a>
<span class="sourceLineNo">882</span> }<a name="line.882"></a>
<span class="sourceLineNo">883</span><a name="line.883"></a>
<span class="sourceLineNo">884</span> if (i == 0) {<a name="line.884"></a>
<span class="sourceLineNo">885</span> totalHeapSize += CellChunkImmutableSegment.DEEP_OVERHEAD_CCM + oneCellOnCCMHeapSize<a name="line.885"></a>
<span class="sourceLineNo">886</span> + oneCellOnCSLMHeapSize;<a name="line.886"></a>
<span class="sourceLineNo">887</span> } else {<a name="line.887"></a>
<span class="sourceLineNo">888</span> // The in-memory flush size is bigger than the size of a single cell,<a name="line.888"></a>
<span class="sourceLineNo">889</span> // but smaller than the size of two cells.<a name="line.889"></a>
<span class="sourceLineNo">890</span> // Therefore, the two created cells are flattened in a seperate segment.<a name="line.890"></a>
<span class="sourceLineNo">891</span> totalHeapSize += 2 * (CellChunkImmutableSegment.DEEP_OVERHEAD_CCM + oneCellOnCCMHeapSize);<a name="line.891"></a>
<span class="sourceLineNo">892</span> }<a name="line.892"></a>
<span class="sourceLineNo">893</span> if (i == 2) {<a name="line.893"></a>
<span class="sourceLineNo">894</span> // Four out of the five segments are merged into one<a name="line.894"></a>
<span class="sourceLineNo">895</span> totalHeapSize -= (4 * CellChunkImmutableSegment.DEEP_OVERHEAD_CCM);<a name="line.895"></a>
<span class="sourceLineNo">896</span> totalHeapSize = ClassSize.align(totalHeapSize);<a name="line.896"></a>
<span class="sourceLineNo">897</span> }<a name="line.897"></a>
<span class="sourceLineNo">898</span> assertEquals("i=" + i, totalHeapSize, ((CompactingMemStore) memstore).heapSize());<a name="line.898"></a>
<span class="sourceLineNo">899</span> }<a name="line.899"></a>
<span class="sourceLineNo">900</span> }<a name="line.900"></a>
<span class="sourceLineNo">901</span><a name="line.901"></a>
<span class="sourceLineNo">902</span> /**<a name="line.902"></a>
<span class="sourceLineNo">903</span> * Test big cell size after in memory compaction. (HBASE-26467)<a name="line.903"></a>
<span class="sourceLineNo">904</span> */<a name="line.904"></a>
<span class="sourceLineNo">905</span> @Test<a name="line.905"></a>
<span class="sourceLineNo">906</span> public void testBigCellSizeAfterInMemoryCompaction() throws IOException {<a name="line.906"></a>
<span class="sourceLineNo">907</span> MemoryCompactionPolicy compactionType = MemoryCompactionPolicy.BASIC;<a name="line.907"></a>
<span class="sourceLineNo">908</span> memstore.getConfiguration().setInt(MemStoreCompactionStrategy.COMPACTING_MEMSTORE_THRESHOLD_KEY,<a name="line.908"></a>
<span class="sourceLineNo">909</span> 1);<a name="line.909"></a>
<span class="sourceLineNo">910</span> memstore.getConfiguration().set(CompactingMemStore.COMPACTING_MEMSTORE_TYPE_KEY,<a name="line.910"></a>
<span class="sourceLineNo">911</span> String.valueOf(compactionType));<a name="line.911"></a>
<span class="sourceLineNo">912</span> ((MyCompactingMemStore) memstore).initiateType(compactionType, memstore.getConfiguration());<a name="line.912"></a>
<span class="sourceLineNo">913</span><a name="line.913"></a>
<span class="sourceLineNo">914</span> byte[] val = new byte[MemStoreLAB.CHUNK_SIZE_DEFAULT];<a name="line.914"></a>
<span class="sourceLineNo">915</span><a name="line.915"></a>
<span class="sourceLineNo">916</span> long size = addRowsByKeys(memstore, new String[] { "A" }, val);<a name="line.916"></a>
<span class="sourceLineNo">917</span> ((MyCompactingMemStore) memstore).flushInMemory();<a name="line.917"></a>
<span class="sourceLineNo">918</span><a name="line.918"></a>
<span class="sourceLineNo">919</span> for (KeyValueScanner scanner : memstore.getScanners(Long.MAX_VALUE)) {<a name="line.919"></a>
<span class="sourceLineNo">920</span> Cell cell;<a name="line.920"></a>
<span class="sourceLineNo">921</span> while ((cell = scanner.next()) != null) {<a name="line.921"></a>
<span class="sourceLineNo">922</span> assertEquals(size, cell.getSerializedSize());<a name="line.922"></a>
<span class="sourceLineNo">923</span> }<a name="line.923"></a>
<span class="sourceLineNo">924</span> }<a name="line.924"></a>
<span class="sourceLineNo">925</span> }<a name="line.925"></a>
<span class="sourceLineNo">926</span><a name="line.926"></a>
<span class="sourceLineNo">927</span> private long addRowsByKeysDataSize(final AbstractMemStore hmc, String[] keys) {<a name="line.927"></a>
<span class="sourceLineNo">928</span> byte[] fam = Bytes.toBytes("testfamily");<a name="line.928"></a>
<span class="sourceLineNo">929</span> byte[] qf = Bytes.toBytes("testqualifier");<a name="line.929"></a>
<span class="sourceLineNo">930</span> MemStoreSizing memstoreSizing = new NonThreadSafeMemStoreSizing();<a name="line.930"></a>
<span class="sourceLineNo">931</span> for (int i = 0; i &lt; keys.length; i++) {<a name="line.931"></a>
<span class="sourceLineNo">932</span> long timestamp = EnvironmentEdgeManager.currentTime();<a name="line.932"></a>
<span class="sourceLineNo">933</span> Threads.sleep(1); // to make sure each kv gets a different ts<a name="line.933"></a>
<span class="sourceLineNo">934</span> byte[] row = Bytes.toBytes(keys[i]);<a name="line.934"></a>
<span class="sourceLineNo">935</span> byte[] val = Bytes.toBytes(keys[i] + i);<a name="line.935"></a>
<span class="sourceLineNo">936</span> KeyValue kv = new KeyValue(row, fam, qf, timestamp, val);<a name="line.936"></a>
<span class="sourceLineNo">937</span> hmc.add(kv, memstoreSizing);<a name="line.937"></a>
<span class="sourceLineNo">938</span> LOG.debug("added kv: " + kv.getKeyString() + ", timestamp" + kv.getTimestamp());<a name="line.938"></a>
<span class="sourceLineNo">939</span> }<a name="line.939"></a>
<span class="sourceLineNo">940</span> MemStoreSize mss = memstoreSizing.getMemStoreSize();<a name="line.940"></a>
<span class="sourceLineNo">941</span> regionServicesForStores.addMemStoreSize(mss.getDataSize(), mss.getHeapSize(),<a name="line.941"></a>
<span class="sourceLineNo">942</span> mss.getOffHeapSize(), mss.getCellsCount());<a name="line.942"></a>
<span class="sourceLineNo">943</span> return mss.getDataSize();<a name="line.943"></a>
<span class="sourceLineNo">944</span> }<a name="line.944"></a>
<span class="sourceLineNo">945</span><a name="line.945"></a>
<span class="sourceLineNo">946</span> private long cellBeforeFlushSize() {<a name="line.946"></a>
<span class="sourceLineNo">947</span> // make one cell<a name="line.947"></a>
<span class="sourceLineNo">948</span> byte[] row = Bytes.toBytes("A");<a name="line.948"></a>
<span class="sourceLineNo">949</span> byte[] val = Bytes.toBytes("A" + 0);<a name="line.949"></a>
<span class="sourceLineNo">950</span> KeyValue kv = new KeyValue(row, Bytes.toBytes("testfamily"), Bytes.toBytes("testqualifier"),<a name="line.950"></a>
<span class="sourceLineNo">951</span> EnvironmentEdgeManager.currentTime(), val);<a name="line.951"></a>
<span class="sourceLineNo">952</span> return ClassSize.align(<a name="line.952"></a>
<span class="sourceLineNo">953</span> ClassSize.CONCURRENT_SKIPLISTMAP_ENTRY + KeyValue.FIXED_OVERHEAD + kv.getSerializedSize());<a name="line.953"></a>
<span class="sourceLineNo">954</span> }<a name="line.954"></a>
<span class="sourceLineNo">955</span><a name="line.955"></a>
<span class="sourceLineNo">956</span> private long cellAfterFlushSize() {<a name="line.956"></a>
<span class="sourceLineNo">957</span> // make one cell<a name="line.957"></a>
<span class="sourceLineNo">958</span> byte[] row = Bytes.toBytes("A");<a name="line.958"></a>
<span class="sourceLineNo">959</span> byte[] val = Bytes.toBytes("A" + 0);<a name="line.959"></a>
<span class="sourceLineNo">960</span> KeyValue kv = new KeyValue(row, Bytes.toBytes("testfamily"), Bytes.toBytes("testqualifier"),<a name="line.960"></a>
<span class="sourceLineNo">961</span> EnvironmentEdgeManager.currentTime(), val);<a name="line.961"></a>
<span class="sourceLineNo">962</span><a name="line.962"></a>
<span class="sourceLineNo">963</span> return toCellChunkMap<a name="line.963"></a>
<span class="sourceLineNo">964</span> ? ClassSize.align(ClassSize.CELL_CHUNK_MAP_ENTRY + kv.getSerializedSize())<a name="line.964"></a>
<span class="sourceLineNo">965</span> : ClassSize<a name="line.965"></a>
<span class="sourceLineNo">966</span> .align(ClassSize.CELL_ARRAY_MAP_ENTRY + KeyValue.FIXED_OVERHEAD + kv.getSerializedSize());<a name="line.966"></a>
<span class="sourceLineNo">967</span> }<a name="line.967"></a>
<span class="sourceLineNo">968</span>}<a name="line.968"></a>
</pre>
</div>
</body>
</html>