http://www.searchfull.net:80/blog/ 专注于Java技术、开源项目、项目管理 http://www.searchfull.net:80/blog/2008/12/26/1230269148216.html <p>Hibernate <span style="COLOR: rgb(204,0,0)">Shards</span> is a framework that is designed to encapsulate and minimize this complexity by adding support for <a href="http://en.wikipedia.org/w/index.php?title=Partition_%28database%29&amp;oldid=99996308">horizontal partitioning</a> to Hibernate Core.</p> <p>即，Shards可以帮助程序透明地访问网络上多个水平划分数据库（分片）。下面主要介绍<font face="Arial"><a href="http://www.searchfull.net/blog/2008/12/26/1230269148216.html">使用Hibernate Shards来访问多个水平分区数据库</a></font>的配置。Shards的功能：</p> <h2>Hibernate <span style="COLOR: rgb(204,0,0)">Shards</span> key features:</h2> <ul> <li><strong>Standard Hibernate programming model</strong> - Hibernate <span style="COLOR: rgb(204,0,0)">Shards</span> allows you to continue using the Hibernate APIs you know and love: SessionFactory, Session, Criteria, Query. If you already know how to use Hibernate, you already know how to use Hibernate <span style="COLOR: rgb(204,0,0)">Shards</span>. </li> </ul> <ul> <li><strong>Flexible sharding strategies</strong> - Distribute data across your <span style="COLOR: rgb(204,0,0)">shards</span> any way you want. Use one of the default strategies we provide or plug in your own application-specific logic. </li> </ul> <ul> <li><strong>Support for virtual <span style="COLOR: rgb(204,0,0)">shards</span></strong> - Think your sharding strategy is never going to change? Think again. Adding new <span style="COLOR: rgb(204,0,0)">shards</span> and redistributing your data is one of the toughest operational challenges you will face once you've deployed your shard-aware application. Hibernate Sharding supports virtual <span style="COLOR: rgb(204,0,0)">shards</span>, a feature designed to simplify the process of resharding your data. </li> </ul> <ul> <li><strong>Free/open source</strong> - Hibernate <span style="COLOR: rgb(204,0,0)">Shards</span> is licensed under the LGPL (Lesser GNU Public License) </li> </ul> <h3>&nbsp;</h3> <p><a href="http://www.searchfull.net:80/blog/2008/12/26/1230269148216.html">Read more...</a></p> http://www.searchfull.net:80/blog/2008/12/22/1229915214912.html <p><font face="Arial"><a href="http://db.apache.org/derby"><font face="Arial">Derby</font></a>/<a href="http://developers.sun.com/javadb">Java DB</a>性能测试评估，最近想选择一个轻量、可伸缩、高性能的嵌入式数据库，所以<a href="http://www.searchfull.net/blog/2008/12/22/1229915214912.html">对<font face="Arial"></font><font face="Arial"><font face="Arial"><font face="Arial">Derby</font></font></font>纯Java数据库进行了测试评估</a>。从结果看来<font face="Arial"><font face="Arial"><font face="Arial">Derby</font></font>还是挺不错的，和<font face="Arial"><font face="Arial">db4o,Perst,<font face="Arial">Berkeley DB是一个级别的，每秒能插入10000个对象，10000次对象查询能在1秒内完成，删除10000个对象也大约能在1-2秒内完成</font></font></font></font>。</font></p> <p><font face="Arial">版本：</font></p> <blockquote dir="ltr" style="MARGIN-RIGHT: 0px"> <p><font face="Arial"><font face="Arial"><font face="Arial"><font face="Arial"><font face="Arial"><font face="Arial">Apache Derby 10.4</font>（1.0）：<font face="Arial">derby.jar</font></font></font></font></font></font></p> </blockquote> <p>结果：</p> <blockquote dir="ltr" style="MARGIN-RIGHT: 0px"> <p><font face="Arial"><font face="Arial"><font face="Arial"><font face="Arial"><font face="Arial">Elapsed time for inserting 100000 records: 10563 milliseconds<br /> Elapsed time for update 100000 records: 10422 milliseconds<br /> Elapsed time for select 100000 records: 6250 milliseconds<br /> Elapsed time for deleteing 100000 records: 9046 milliseconds<br /> </font></font><br /> </font></font></font></p> </blockquote> <p dir="ltr"><font face="Arial"><font face="Arial"><font face="Arial"><font face="Arial"><font face="Arial"></font></font></font></font></font></p> <p dir="ltr"><font face="Arial"></font></p> <p><a href="http://www.searchfull.net:80/blog/2008/12/22/1229915214912.html">Read more...</a></p> http://www.searchfull.net:80/blog/2008/12/10/1228898730020.html <p><a href="http://www.coyotegulch.com/products/jisp">Jisp</a>,A small, embedded database engine written in Pure Java.<a href="http://www.searchfull.net/blog/2008/12/10/1228898730020.html">Jisp Performance</a> is slower than Perst,db4o,jdbm,<font face="Arial">Berkeley DB Java Database.</font></p> <p>The TestIndex benchmark measures the performance of such basic operations as storing/fetching objects and locating objects using an index. This test contains three steps:&nbsp;</p> <ol> <li>Create a specified number of records with random long integers and string keys and include them in long integer and string indices. After inserting of all records, a commit is performed. </li> <li>Search for each record using a long integer and string key. </li> <li>Search for and remove each record from the indices and deallocate it from storage. </li> </ol> <p><a href="http://www.searchfull.net:80/blog/2008/12/10/1228898730020.html">Read more...</a></p> http://www.searchfull.net:80/blog/2008/12/05/1228470235234.html <p><font face="Arial"><a href="http://jdbm.sourceforge.net">JDBM</a>性能测试评估，最近想选择一个轻量、可伸缩、高性能的嵌入式数据库，所以<a href="http://www.searchfull.net/blog/2008/12/05/1228470235234.html">对JDBM 纯Java数据库进行了测试评估</a>。从结果看来<font face="Arial">JDBM还是挺不错的，和<font face="Arial"><font face="Arial">db4o,Perst,<font face="Arial">Berkeley DB是一个级别的，每秒能插入10000个对象，10000次对象查询能在1秒内完成，删除10000个对象也大约能在1-2秒内完成</font></font></font></font>。看来表现最差的JISP，insert、search、delete差不多都需要30秒。</font></p> <p><font face="Arial">版本：</font></p> <blockquote dir="ltr" style="MARGIN-RIGHT: 0px"> <p><font face="Arial"><font face="Arial"><font face="Arial"><font face="Arial"><font face="Arial">jdbm-unspecified.jar（1.0）</font></font></font></font></font></p> </blockquote> <p>结果：</p> <blockquote dir="ltr" style="MARGIN-RIGHT: 0px"> <p><font face="Arial"><font face="Arial"><font face="Arial"><font face="Arial">Elapsed time for inserting 100000 records: 12282 milliseconds<br /> Elapsed time for performing 100000 index searches: 7125 milliseconds<br /> Elapsed time for deleting 100000 records: 16203 milliseconds<br /> </font><br /> </font></font></font></p> </blockquote> <p><a href="http://www.searchfull.net:80/blog/2008/12/05/1228470235234.html">Read more...</a></p> http://www.searchfull.net:80/blog/2008/12/04/1228357637382.html <p><font face="Arial"><a href="http://www.mcobject.com/perst">Perst</a>性能测试评估，最近想选择一个轻量、可伸缩、高性能的嵌入式数据库，所以<a href="http://www.searchfull.net/blog/2008/12/03/1228276426786.html">对Perst<font face="Arial">&nbsp;Java版</font>数据库进行了测试评估</a>。从结果看来<font face="Arial">Perst&nbsp;Java版还是值得试一试，Perst的性能是db4o,Perst,Jisp,<font face="Arial">Berkeley DB,JDBM中最出众的</font></font>。</font></p> <p><font face="Arial">版本：</font></p> <blockquote dir="ltr" style="MARGIN-RIGHT: 0px"> <p><font face="Arial"><font face="Arial"><font face="Arial"><font face="Arial">perst15-271.jar</font></font></font></font></p> </blockquote> <p>结果：</p> <blockquote dir="ltr" style="MARGIN-RIGHT: 0px"> <p><font face="Arial"><font face="Arial"><font face="Arial">Elapsed time for inserting 100000 records: 3359 milliseconds<br /> Elapsed time for performing 200000 index searches: 1578 milliseconds<br /> Elapsed time for deleting 100000 records: 2094 milliseconds<br /> </font></font></font></p> </blockquote> <p dir="ltr"><font face="Arial"><font face="Arial"></font></font> <p dir="ltr"><font face="Arial"></font></p> </p> <p><a href="http://www.searchfull.net:80/blog/2008/12/04/1228357637382.html">Read more...</a></p> http://www.searchfull.net:80/blog/2008/12/03/1228305585901.html <p><font face="Arial"><a href="http://www.db4o.com">db4o</a>性能测试评估，最近想选择一个轻量、可伸缩、高性能的嵌入式数据库，所以<a href="http://www.searchfull.net/blog/2008/12/03/1228275737245.html">对db4o<font face="Arial">&nbsp;Java版</font>数据库进行了测试评估</a>。从结果看来<font face="Arial">db4o&nbsp;Java版还是值得试一试，插入和删除记录性能和<font face="Arial">Berkeley DB Java版差不多，但是查询性能似乎差一些</font></font>。</font></p> <p><font face="Arial">版本：</font></p> <blockquote dir="ltr" style="MARGIN-RIGHT: 0px"> <p><font face="Arial"><font face="Arial"><font face="Arial">db4o-6.4.54.11278-java5.jar</font></font></font></p> </blockquote> <p>结果：</p> <blockquote dir="ltr" style="MARGIN-RIGHT: 0px"> <p><font face="Arial"><font face="Arial">Elapsed time for inserting 100000 records: 8063 milliseconds<br /> Elapsed time for performing 200000 index searches: 28312 milliseconds<br /> Elapsed time for deleting 100000 records: 11265 milliseconds<br /> </font></font></p> </blockquote> <p dir="ltr"><font face="Arial"></font></p> <p><a href="http://www.searchfull.net:80/blog/2008/12/03/1228305585901.html">Read more...</a></p> http://www.searchfull.net:80/blog/2008/12/03/1228274869897.html <p><font face="Arial"><a href="http://www.oracle.com/technology/products/berkeley-db/index.html">Berkeley DB</a> 性能测试评估，最近想选择一个轻量、可伸缩、高性能的嵌入式数据库，所以<a href="http://www.searchfull.net/blog/2008/12/03/1228274869897.html">对<font face="Arial">Berkeley DB&nbsp;Java版</font>数据库进行了测试评估</a>。从结果看来<font face="Arial">Berkeley DB&nbsp;Java版还是值得试一试</font>。</font></p> <p><font face="Arial">版本：</font></p> <blockquote dir="ltr" style="MARGIN-RIGHT: 0px"> <p><font face="Arial"><font face="Arial">je-3.3.75.zip</font></font></p> </blockquote> <p>结果：</p> <blockquote dir="ltr" style="MARGIN-RIGHT: 0px"> <p><font face="Arial">Elapsed time for inserting 100000 records: 12672 milliseconds<br /> Elapsed time for performing 200000 index searches: 10844 milliseconds<br /> Elapsed time for iterating through 200000 records: 5297 milliseconds<br /> Elapsed time for deleting 100000 records: 15859 milliseconds<br /> Elapsed time for database close 1593 milliseconds</font></p> </blockquote> <p dir="ltr"><font face="Arial"></font></p> <p><a href="http://www.searchfull.net:80/blog/2008/12/03/1228274869897.html">Read more...</a></p> http://www.searchfull.net:80/blog/2008/11/22/1227319103953.html <h3 class="r">MySQL性能调优最佳实践讲座视频：<a onmousedown="return clk(0,'','','res','1','')" class="l" target="_blank" href="http://video.google.com/videoplay?docid=2524524540025172110"><em></em></a></h3> <h3 class="r"><a onmousedown="return clk(0,'','','res','1','')" class="l" target="_blank" href="http://video.google.com/videoplay?docid=2524524540025172110"><em>Performance Tuning Best Practices for MySQL</em></a></h3> <h3 class="r"><a href="http://www.searchfull.net/blog/2008/11/22/1227319103953.html">MySQL性能调优最佳实践讲座演示PPT</a></h3> &nbsp; <span class="std nobr"><br /> </span> <p>Here is Jay Pipes's talk at Google:</p> <div class="center-aligner"> <embed id="VideoPlayback" style="width: 400px; height: 326px;" allowfullscreen="true" src="http://video.google.com/googleplayer.swf?docid=2524524540025172110&amp;hl=en&amp;fs=true" type="application/x-shockwave-flash"></embed> <br /> Direct URL: <a href="http://video.google.com/videoplay?docid=2524524540025172110">http://video.google.com/videoplay?docid=2524524540025172110</a> </div> <p><a href="http://www.searchfull.net:80/blog/2008/11/22/1227319103953.html">Read more...</a></p> http://www.searchfull.net:80/blog/2008/11/22/1227318135071.html <a title="http://www.searchfull.net:80/blog/2008/11/22/1227318135071.html" name="a1227318135071" href="../../blog/2008/11/22/1227318135071.html">MySQL性能调优：最佳实践，FAQs，How-To，文章，博客</a>：<br /> <br /> Book: High Performance MySQL (2nd Edition) <br /> <a href="http://www.highperfmysql.com/" rel="nofollow">http://www.highperfmysql.com/</a> <br /> <br /> MySQL Performance Tuning - Best Practices: <br /> <a href="http://jpipes.com/presentations/perf_tuning_best_practices.pdf" rel="nofollow">http://jpipes.com/presentations/perf_tuning_best_practices.pdf</a> <br /> <br /> MySQL Index Tuning and Coding Techniques for Optimal Performance: <br /> <a href="http://jpipes.com/presentations/index_coding_optimization.pdf" rel="nofollow">http://jpipes.com/presentations/index_coding_optimization.pdf</a> <br /> <br /> Web Performance and Scalability with MySQL: <br /> <a href="http://develooper.com/talks/" rel="nofollow">http://develooper.com/talks/</a> <br /> <br /> MySQL Server Variables <br /> <a href="http://forge.mysql.com/wiki/ServerVariables" rel="nofollow">http://forge.mysql.com/wiki/ServerVariables</a> <br /> <br /> MySQL Server Variables - SQL layer or Storage Engine specific <br /> <a href="http://www.mysqlperformanceblog.com/2006/06/08/mysql-server-variables-sql-layer-or-storage-engine-specific/" rel="nofollow">http://www.mysqlperformanceblog.com/2006/06/08/mysql-server-variables-sql-layer-or-storage-engine-specific/</a> <br /> <br /> &ldquo;Show profile&rdquo; + &ldquo;Information_schema.profiling&rdquo; <br /> <a href="http://blogs.mysql.com/peterg/2008/11/06/show-profile-information_schemaprofiling/" rel="nofollow">http://blogs.mysql.com/peterg/2008/11/06/show-profile-information_schemaprofiling/</a> <br /> <br /> PeterZ presentations: <br /> <a href="http://www.mysqlperformanceblog.com/mysql-performance-presentations/" rel="nofollow">http://www.mysqlperformanceblog.com/mysql-performance-presentations/</a> <br /> <br /> Using MMM to ALTER huge tables <br /> <a href="http://www.mysqlperformanceblog.com/2008/03/27/using-mmm-to-alter-huge-tables/" rel="nofollow">http://www.mysqlperformanceblog.com/2008/03/27/using-mmm-to-alter-huge-tables/</a> <br /> <br /> MySQL File System Fragmentation Benchmarks <br /> <a href="http://www.mysqlperformanceblog.com/2008/03/21/mysql-file-system-fragmentation-benchmarks/" rel="nofollow">http://www.mysqlperformanceblog.com/2008/03/21/mysql-file-system-fragmentation-benchmarks/</a> <br /> <a href="http://www.mysqlperformanceblog.com/2008/03/18/working-with-many-files-and-file-system-fragmentation/" rel="nofollow">http://www.mysqlperformanceblog.com/2008/03/18/working-with-many-files-and-file-system-fragmentation/</a> <p><a href="http://www.searchfull.net:80/blog/2008/11/22/1227318135071.html">Read more...</a></p> http://www.searchfull.net:80/blog/2008/11/21/1227240558073.html <p>一个数据库的Schema模型设计影响它的可用性和性能，因此应该对设计一个符合用户需求的数据库及时地做一个初始的投资和研究。这里不是提供一个详细的数据库设计指南，只是说一说设计数据库模型应该考虑的一些观点。</p> <ul> <li><a href="http://www.searchfull.net/blog/2008/11/21/1227240558073.html">一个良好设计的Schema模型应该做些什么考虑</a>？</li> <li>什么是事实表和维度表？</li> </ul> <p><a href="http://www.searchfull.net:80/blog/2008/11/21/1227240558073.html">Read more...</a></p> http://www.searchfull.net:80/blog/2008/11/21/1227236356717.html <p><font face="Arial">数据库的Schema设计很重要的是主键的设计：</font></p> <ul> <li><font face="Arial">如何选择Primary Key: Natural or Surrogate？Naural由真实世界存在的属性而组成，含有业务意义；Surrogate没有业务意义。</font></li> <li><font face="Arial">选择什么数据类型的主键？</font></li> <li><font face="Arial">是否显示主键给用户？</font></li> <li><font face="Arial">用什么策略生成主键？</font></li> <li><font face="Arial">做错了选择怎么办？</font></li> </ul> <p>那么到底<a href="http://www.searchfull.net/blog/2008/11/21/1227236356717.html">应该怎么设计主键</a>呢？</p> <p><a href="http://www.searchfull.net:80/blog/2008/11/21/1227236356717.html">Read more...</a></p> http://www.searchfull.net:80/blog/2008/11/20/1227152397281.html <p><font face="Arial"><a href="http://www.oracle.com/global/cn/index.html">Oracle</a> 10G有Enterprise Manager Console可以方便地管理Oracle，但是在无法访问Enterprise Manager Console或者在Oracle10G以前的版本怎么办呢？</font></p> <p><a href="http://www.searchfull.net:80/blog/2008/11/20/1227152397281.html">Read more...</a></p> http://www.searchfull.net:80/blog/2008/08/04/1217814822742.html SQL&gt; startup mount<br /> ORACLE 例程已经启动。<br /> <br /> Total System Global Area&nbsp; 135338868 bytes<br /> Fixed Size&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; 453492 bytes<br /> Variable Size&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; 109051904 bytes<br /> Database Buffers&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; 25165824 bytes<br /> Redo Buffers&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; 667648 bytes<br /> 数据库装载完毕。<br /> SQL&gt; recover database<br /> 完成介质恢复。<br /> SQL&gt; alter database open<br /> &nbsp; 2&nbsp; ;<br /> <br /> 数据库已更改。<br /> <p><a href="http://www.searchfull.net:80/blog/2008/08/04/1217814822742.html">Read more...</a></p> http://www.searchfull.net:80/blog/2008/05/16/1210932129832.html <a href="http://hbase.org/">HBase</a> is a scalable, distributed database built on <a href="http://hadoop.apache.org/core">Hadoop Core</a>. <p><a href="http://www.searchfull.net:80/blog/2008/05/16/1210932129832.html">Read more...</a></p> http://www.searchfull.net:80/blog/2007/10/22/1193047046111.html Oracle的ADDM报告 <p><a href="http://www.searchfull.net:80/blog/2007/10/22/1193047046111.html">Read more...</a></p> http://www.searchfull.net:80/blog/2007/09/29/1191056109156.html This solution covers the following topics:<br /> <br /> A. TNS-12500 on Microsoft Windows NT<br /> B. Intermittent TNS-12500 Errors on Microsoft Windows NT<br /> <br /> <p><a href="http://www.searchfull.net:80/blog/2007/09/29/1191056109156.html">Read more...</a></p> http://www.searchfull.net:80/blog/2007/09/15/1189845742264.html shell> mysqld --character-set-server=utf8<br> 或者：<br> shell> mysqld_safe --character-set-server=utf8 <p><a href="http://www.searchfull.net:80/blog/2007/09/15/1189845742264.html">Read more...</a></p> http://www.searchfull.net:80/blog/2007/09/06/1189050266738.html <p> <p><font face="Arial"></font></p> <font face="Arial">　　1. Unix操作系统 </font></p> <p><font face="Arial">　　2. IBM System R-1983年以DB2的形式进入商业市场 </font></p> <p><font face="Arial">　　3.基因排序软件-美国基因组研究所(IGR) </font></p> <p><font face="Arial">　　4. IBM System 360系统 </font></p> <p><font face="Arial">　　5. Java语言 </font></p> <p><a href="http://www.searchfull.net:80/blog/2007/09/06/1189050266738.html">Read more...</a></p> http://www.searchfull.net:80/blog/2007/08/23/1187841621194.html 在Spring+hibernate里关闭远程Oracle dblink <p><a href="http://www.searchfull.net:80/blog/2007/08/23/1187841621194.html">Read more...</a></p> http://www.searchfull.net:80/blog/2007/08/17/1187338819268.html Mysql 5.0.22 Cluster for RedHat AS4-U2 集群安装参考<br> 来自<a href="http://linux.chinaitlab.com/MYSQL/521518.html">chinaitlab.com</a> <p><a href="http://www.searchfull.net:80/blog/2007/08/17/1187338819268.html">Read more...</a></p>