在Ubuntu下可以用新立得去安装SQLITE,当然也可以自己去下载编译,我没有弄,怕弄乱系统。SQLite 是 D. Richard Hipp 用 C 语言编
在Ubuntu下可以用新立得去安装SQLITE,当然也可以自己去下载编译,,我没有弄,怕弄乱系统。
SQLite 是 D. Richard Hipp 用 C 语言编写的开源嵌入式数据库引擎。SQLite第一个Alpha版本诞生于2000年5月. 至今已经有7个年头了.目前版本是 2007.6.18?出来没久的?SQLite 3.4.0
其创建者保守地估计 SQLite 可以处理每天负担多达 100,00 次点击率的 Web 站点,并且 SQLite 有时候可以处理 10 倍于上述数字的负载。
下面是访问SQLite官方网站: 时第一眼看到关于SQLite的特性.
1. ACID事务 - 甚至是系统宕机或者断电后都能保持数据的一致完整性
2. 零配置 – 无需安装和管理配置
3. 实现了大部分的 SQL92 标准 (尚未实现的特性)
4. 储存在单一磁盘文件中的一个完整的数据库
5. 数据库文件可以在不同字节顺序的机器间自由的共享
6. 支持数据库大小至2TB
7. 足够小, 大致3万行C代码, 250K?
8. 比一些流行的数据库在大部分普通数据库操作要快
9. 简单, 轻松的API
10. 包含TCL绑定, 同时通过Wrapper支持其他语言的绑定
11. 良好注释的源代码, 并且有着98%以上的测试覆盖率
12. 独立: 没有额外依赖
13. Source完全的Open, 你可以用于任何用途
14. 支持多种开发语言,C, PHP, Perl, Java, ASP.NET,Python
有一点值得一提,SQLITE 居然不规定类型,好像是“弱类型的数据库”,比如create table (name,age,address),后面的insert随便来了。
不扯远了,首先先去下载sqlitejdbc.jar和libsqlitejdbc.so。sqlitejdbc的处理和你的mysql阿,Oracle阿,他们的jdbc一样处理,然后把libsqlitejdbc.so放到你的java安装地方的jre的lib下的i386下。这就ok了。
然后就是写你的jdbc程序了
Class.forName("org.sqlite.JDBC");
conn = DriverManager.getConnection("jdbc:sqlite://home/zalpirin/mydb.db");//注意这里要完整的你的db文件放的路径。
Statement stat = conn.createStatement();
ResultSet rs = stat.executeQuery("select * from 表名");
//然后爱干什么干什么
结束。

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The working principle of MySQL query cache is to store the results of SELECT query, and when the same query is executed again, the cached results are directly returned. 1) Query cache improves database reading performance and finds cached results through hash values. 2) Simple configuration, set query_cache_type and query_cache_size in MySQL configuration file. 3) Use the SQL_NO_CACHE keyword to disable the cache of specific queries. 4) In high-frequency update environments, query cache may cause performance bottlenecks and needs to be optimized for use through monitoring and adjustment of parameters.

The reasons why MySQL is widely used in various projects include: 1. High performance and scalability, supporting multiple storage engines; 2. Easy to use and maintain, simple configuration and rich tools; 3. Rich ecosystem, attracting a large number of community and third-party tool support; 4. Cross-platform support, suitable for multiple operating systems.

The steps for upgrading MySQL database include: 1. Backup the database, 2. Stop the current MySQL service, 3. Install the new version of MySQL, 4. Start the new version of MySQL service, 5. Recover the database. Compatibility issues are required during the upgrade process, and advanced tools such as PerconaToolkit can be used for testing and optimization.

MySQL backup policies include logical backup, physical backup, incremental backup, replication-based backup, and cloud backup. 1. Logical backup uses mysqldump to export database structure and data, which is suitable for small databases and version migrations. 2. Physical backups are fast and comprehensive by copying data files, but require database consistency. 3. Incremental backup uses binary logging to record changes, which is suitable for large databases. 4. Replication-based backup reduces the impact on the production system by backing up from the server. 5. Cloud backups such as AmazonRDS provide automation solutions, but costs and control need to be considered. When selecting a policy, database size, downtime tolerance, recovery time, and recovery point goals should be considered.

MySQLclusteringenhancesdatabaserobustnessandscalabilitybydistributingdataacrossmultiplenodes.ItusestheNDBenginefordatareplicationandfaulttolerance,ensuringhighavailability.Setupinvolvesconfiguringmanagement,data,andSQLnodes,withcarefulmonitoringandpe

Optimizing database schema design in MySQL can improve performance through the following steps: 1. Index optimization: Create indexes on common query columns, balancing the overhead of query and inserting updates. 2. Table structure optimization: Reduce data redundancy through normalization or anti-normalization and improve access efficiency. 3. Data type selection: Use appropriate data types, such as INT instead of VARCHAR, to reduce storage space. 4. Partitioning and sub-table: For large data volumes, use partitioning and sub-table to disperse data to improve query and maintenance efficiency.

TooptimizeMySQLperformance,followthesesteps:1)Implementproperindexingtospeedupqueries,2)UseEXPLAINtoanalyzeandoptimizequeryperformance,3)Adjustserverconfigurationsettingslikeinnodb_buffer_pool_sizeandmax_connections,4)Usepartitioningforlargetablestoi


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