add stress test doc

pister · Jan 19, 2016 · 35dde20 · 35dde20
1 parent 7e8a124
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diff --git a/sharding-jdbc-doc/public/data/chart.js b/sharding-jdbc-doc/public/data/chart.js
@@ -0,0 +1,108 @@
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diff --git a/sharding-jdbc-doc/public/img/stress_test_arch.png b/sharding-jdbc-doc/public/img/stress_test_arch.png
diff --git a/sharding-jdbc-doc/public/index.html b/sharding-jdbc-doc/public/index.html
@@ -321,6 +321,8 @@ <h2>相关文档</h2>
 
                   <li> <a href="http://dangdangdotcom.github.io/sharding-jdbc/post/restriction/" target="_blank">使用限制</a></li>
 
+                  <li> <a href="http://dangdangdotcom.github.io/sharding-jdbc/post/stress_test/" target="_blank">压力测试报告</a></li>
+
                   <li> <a href="http://dangdangdotcom.github.io/sharding-jdbc/post/roadmap/" target="_blank">未来线路规划</a></li>
 
              </ul>
@@ -356,6 +358,8 @@ <h2>相关文档</h2>
 
 <script src="js/prism.js"></script>
 
+
+
 </body>
 </html>
 
diff --git a/sharding-jdbc-doc/public/index.xml b/sharding-jdbc-doc/public/index.xml
@@ -781,6 +781,173 @@ public Collection&amp;lt;String&amp;gt; doSharding(final Collection&amp;lt;Strin
 </description>
     </item>
 
+    <item>
+      <title>压力测试报告</title>
+      <link>http://dangdangdotcom.github.io/sharding-jdbc/post/stress_test/</link>
+      <pubDate>Fri, 08 Jan 2016 16:14:21 +0800</pubDate>
+
+      <guid>http://dangdangdotcom.github.io/sharding-jdbc/post/stress_test/</guid>
+      <description>
+
+&lt;h1 id=&#34;压力测试报告:da68abc810593941936aaba3d62b3b96&#34;&gt;压力测试报告&lt;/h1&gt;
+
+&lt;h2 id=&#34;测试目的:da68abc810593941936aaba3d62b3b96&#34;&gt;测试目的&lt;/h2&gt;
+
+&lt;p&gt;对&lt;code&gt;Sharding-JDBC&lt;/code&gt;进行性能测试，客观、公正评估系统的性能，目的有三:&lt;/p&gt;
+
+&lt;ol&gt;
+&lt;li&gt;对比&lt;code&gt;Sharding-JDBC&lt;/code&gt;和&lt;code&gt;JDBC&lt;/code&gt;的性能。&lt;/li&gt;
+&lt;li&gt;&lt;code&gt;Sharding-JDBC&lt;/code&gt;是否通过扩展数据库解决&lt;code&gt;JDBC&lt;/code&gt;吞吐量不足的问题。&lt;/li&gt;
+&lt;li&gt;&lt;code&gt;Sharding-JDBC&lt;/code&gt;的稳定性。&lt;/li&gt;
+&lt;/ol&gt;
+
+&lt;h2 id=&#34;测试数据库配置:da68abc810593941936aaba3d62b3b96&#34;&gt;测试数据库配置&lt;/h2&gt;
+
+&lt;table&gt;
+&lt;thead&gt;
+&lt;tr&gt;
+&lt;th&gt;数据库实例&lt;/th&gt;
+&lt;th align=&#34;center&#34;&gt;DB1&lt;/th&gt;
+&lt;th align=&#34;center&#34;&gt;DB2&lt;/th&gt;
+&lt;/tr&gt;
+&lt;/thead&gt;
+
+&lt;tbody&gt;
+&lt;tr&gt;
+&lt;td&gt;操作系统&lt;/td&gt;
+&lt;td align=&#34;center&#34;&gt;centOS5.4&lt;/td&gt;
+&lt;td align=&#34;center&#34;&gt;centOS5.4&lt;/td&gt;
+&lt;/tr&gt;
+
+&lt;tr&gt;
+&lt;td&gt;CPU&lt;/td&gt;
+&lt;td align=&#34;center&#34;&gt;2C四核&lt;/td&gt;
+&lt;td align=&#34;center&#34;&gt;2C四核&lt;/td&gt;
+&lt;/tr&gt;
+
+&lt;tr&gt;
+&lt;td&gt;内存&lt;/td&gt;
+&lt;td align=&#34;center&#34;&gt;32GB&lt;/td&gt;
+&lt;td align=&#34;center&#34;&gt;32GB&lt;/td&gt;
+&lt;/tr&gt;
+
+&lt;tr&gt;
+&lt;td&gt;硬盘&lt;/td&gt;
+&lt;td align=&#34;center&#34;&gt;250G*2_RAID1+600G*4_RAID10&lt;/td&gt;
+&lt;td align=&#34;center&#34;&gt;250G*2_RAID1+600G*4_RAID10&lt;/td&gt;
+&lt;/tr&gt;
+
+&lt;tr&gt;
+&lt;td&gt;Mysql版本&lt;/td&gt;
+&lt;td align=&#34;center&#34;&gt;5.5.19&lt;/td&gt;
+&lt;td align=&#34;center&#34;&gt;5.5.19&lt;/td&gt;
+&lt;/tr&gt;
+
+&lt;tr&gt;
+&lt;td&gt;数据表字段数量&lt;/td&gt;
+&lt;td align=&#34;center&#34;&gt;70&lt;/td&gt;
+&lt;td align=&#34;center&#34;&gt;70&lt;/td&gt;
+&lt;/tr&gt;
+
+&lt;tr&gt;
+&lt;td&gt;数据表行数&lt;/td&gt;
+&lt;td align=&#34;center&#34;&gt;1000万&lt;/td&gt;
+&lt;td align=&#34;center&#34;&gt;1000万&lt;/td&gt;
+&lt;/tr&gt;
+&lt;/tbody&gt;
+&lt;/table&gt;
+
+&lt;h2 id=&#34;网络拓扑:da68abc810593941936aaba3d62b3b96&#34;&gt;网络拓扑&lt;/h2&gt;
+
+&lt;p&gt;&lt;img src=&#34;img/stress_test_arch.png&#34; alt=&#34;网络拓扑图&#34; /&gt;&lt;/p&gt;
+
+&lt;h2 id=&#34;单库情况下sharding-jdbc与jdbc性能对比:da68abc810593941936aaba3d62b3b96&#34;&gt;单库情况下Sharding-JDBC与JDBC性能对比&lt;/h2&gt;
+
+&lt;p&gt;测试结论：&lt;/p&gt;
+
+&lt;ul&gt;
+&lt;li&gt;查询操作，Sharding-JDBC的TPS为JDBC的TPS的99.8%&lt;/li&gt;
+&lt;li&gt;插入操作，Sharding-JDBC的TPS为JDBC的TPS的90.2%&lt;/li&gt;
+&lt;li&gt;更新操作，Sharding-JDBC的TPS为JDBC的TPS的93.1%&lt;/li&gt;
+&lt;/ul&gt;
+
+&lt;h3 id=&#34;查询:da68abc810593941936aaba3d62b3b96&#34;&gt;查询&lt;/h3&gt;
+
+&lt;ul&gt;
+&lt;li&gt;横坐标：并发用户数&lt;/li&gt;
+&lt;li&gt;纵坐标：TPS&lt;/li&gt;
+&lt;/ul&gt;
+
+&lt;canvas id=&#34;compareQuery&#34; width=&#34;400&#34; height=&#34;150&#34;&gt;&lt;/canvas&gt;
+
+&lt;h3 id=&#34;插入:da68abc810593941936aaba3d62b3b96&#34;&gt;插入&lt;/h3&gt;
+
+&lt;ul&gt;
+&lt;li&gt;横坐标：并发用户数&lt;/li&gt;
+&lt;li&gt;纵坐标：TPS&lt;/li&gt;
+&lt;/ul&gt;
+
+&lt;canvas id=&#34;compareInsert&#34; width=&#34;400&#34; height=&#34;150&#34;&gt;&lt;/canvas&gt;
+
+&lt;h3 id=&#34;更新:da68abc810593941936aaba3d62b3b96&#34;&gt;更新&lt;/h3&gt;
+
+&lt;ul&gt;
+&lt;li&gt;横坐标：并发用户数&lt;/li&gt;
+&lt;li&gt;纵坐标：TPS&lt;/li&gt;
+&lt;/ul&gt;
+
+&lt;canvas id=&#34;compareUpdate&#34; width=&#34;400&#34; height=&#34;150&#34;&gt;&lt;/canvas&gt;
+
+&lt;h2 id=&#34;sharding-jdbc单库与双库性能对比:da68abc810593941936aaba3d62b3b96&#34;&gt;Sharding-JDBC单库与双库性能对比&lt;/h2&gt;
+
+&lt;p&gt;对比测试：&lt;/p&gt;
+
+&lt;ul&gt;
+&lt;li&gt;单库用例中所有数据全部在DB1中&lt;/li&gt;
+&lt;li&gt;双库用例中所有数据均匀分布在DB1与DB2中&lt;/li&gt;
+&lt;/ul&gt;
+
+&lt;p&gt;结论：&lt;/p&gt;
+
+&lt;ul&gt;
+&lt;li&gt;TPS双库比单库可以增加大约94%的性能&lt;/li&gt;
+&lt;li&gt;TPS双库比单库可以增加大约50%的性能&lt;/li&gt;
+&lt;/ul&gt;
+
+&lt;h3 id=&#34;查询-1:da68abc810593941936aaba3d62b3b96&#34;&gt;查询&lt;/h3&gt;
+
+&lt;ul&gt;
+&lt;li&gt;横坐标：并发用户数&lt;/li&gt;
+&lt;li&gt;纵坐标：TPS&lt;/li&gt;
+&lt;/ul&gt;
+
+&lt;canvas id=&#34;singleAndDubbleQuery&#34; width=&#34;400&#34; height=&#34;150&#34;&gt;&lt;/canvas&gt;
+
+&lt;h3 id=&#34;插入-1:da68abc810593941936aaba3d62b3b96&#34;&gt;插入&lt;/h3&gt;
+
+&lt;ul&gt;
+&lt;li&gt;横坐标：并发用户数&lt;/li&gt;
+&lt;li&gt;纵坐标：TPS&lt;/li&gt;
+&lt;/ul&gt;
+
+&lt;canvas id=&#34;singleAndDubbleInsert&#34; width=&#34;400&#34; height=&#34;150&#34;&gt;&lt;/canvas&gt;
+
+&lt;h3 id=&#34;更新-1:da68abc810593941936aaba3d62b3b96&#34;&gt;更新&lt;/h3&gt;
+
+&lt;ul&gt;
+&lt;li&gt;横坐标：并发用户数&lt;/li&gt;
+&lt;li&gt;纵坐标：TPS&lt;/li&gt;
+&lt;/ul&gt;
+
+&lt;canvas id=&#34;singleAndDubbleUpdate&#34; width=&#34;400&#34; height=&#34;150&#34;&gt;&lt;/canvas&gt;
+
+&lt;h2 id=&#34;sharding-jdbc疲劳测试:da68abc810593941936aaba3d62b3b96&#34;&gt;Sharding-JDBC疲劳测试&lt;/h2&gt;
+
+&lt;p&gt;经过8个小时的疲劳测试，jvm的堆大约占用不到600MB的内存，且使用量比较稳定。没有发生fullgc。
+&lt;canvas id=&#34;fatigueTest&#34; width=&#34;400&#34; height=&#34;150&#34;&gt;&lt;/canvas&gt;&lt;/p&gt;
+</description>
+    </item>
+
     <item>
       <title>未来线路规划</title>
       <link>http://dangdangdotcom.github.io/sharding-jdbc/post/roadmap/</link>

diff --git a/sharding-jdbc-doc/public/index/index.html b/sharding-jdbc-doc/public/index/index.html
@@ -318,6 +318,8 @@ <h2 id="使用基于shardingdatasource的jdbc接口:d680e8a854a7cbad6d490c445cba
 
 <script src="js/prism.js"></script>
 
+
+
 </body>
 </html>
 
diff --git a/sharding-jdbc-doc/public/post/architecture/index.html b/sharding-jdbc-doc/public/post/architecture/index.html
@@ -159,6 +159,8 @@ <h1 id="架构图:1bf455b3a3c6e1e40be41ef6023b75eb">架构图</h1>
 
 <script src="js/prism.js"></script>
 
+
+
 </body>
 </html>
 
diff --git a/sharding-jdbc-doc/public/post/features/index.html b/sharding-jdbc-doc/public/post/features/index.html
@@ -207,6 +207,8 @@ <h2 id="稳定性:e1ec7fcfd5aa4d3ea3e990d9b707a3b4">稳定性</h2>
 
 <script src="js/prism.js"></script>
 
+
+
 </body>
 </html>
 
diff --git a/sharding-jdbc-doc/public/post/index.html b/sharding-jdbc-doc/public/post/index.html
@@ -113,6 +113,8 @@ <h2>相关文档</h2>
 
                   <li> <a href="http://dangdangdotcom.github.io/sharding-jdbc/post/restriction/" target="_blank">使用限制</a></li>
 
+                  <li> <a href="http://dangdangdotcom.github.io/sharding-jdbc/post/stress_test/" target="_blank">压力测试报告</a></li>
+
                   <li> <a href="http://dangdangdotcom.github.io/sharding-jdbc/post/roadmap/" target="_blank">未来线路规划</a></li>
 
              </ul>
@@ -148,6 +150,8 @@ <h2>相关文档</h2>
 
 <script src="js/prism.js"></script>
 
+
+
 </body>
 </html>
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		</body>
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		<script src="js/prism.js"></script>



		</body>
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