数据库-----常用数据库连接方法
Oracle Driver oracle.jdbc.driver.OracleDriver URL jdbc:oracle:thin:@loaclhost:1521:orcl // orcl为数据库的SID MySQL Driver com.mysql.jdbc.Driver URL jdbc:mysql://localhost:3306/db_name // db_name为数据库名 Microsoft SQL Server 2.0驱动(3个ja
Oracle
Driver oracle.jdbc.driver.OracleDriver
URL jdbc:oracle:thin:@loaclhost:1521:orcl // orcl为数据库的SID
MySQL
Driver com.mysql.jdbc.Driver
URL jdbc:mysql://localhost:3306/db_name // db_name为数据库名
Microsoft SQL Server 2.0驱动(3个jar的那个);还可使用jTDS连接SQLServer数据库
Driver com.microsoft.jdbc.sqlserver.SQLServerDriver
URL jdbc:microsoft:sqlserver://localhost:1433;DatabaseName=db_name // db_name为数据库名
Microsoft SQL Server 3.0驱动(1个jar的那个)
Driver com.microsoft.sqlserver.jdbc.SQLServerDriver";
URL jdbc:microsoft:sqlserver://localhost:1433;DatabaseName=db_name // db_name为数据库名
Sysbase
Driver com.sybase.jdbc.SybDriver
URL jdbc:Sysbase://localhost:5007/db_name // db_name为数据可名
PostgreSQL
Driver org.postgresql.Driver";
URL jdbc:postgresql://localhost/db_name // db_name为数据可名
DB2
Driver com.ibm.db2.jdbc.app.DB2.Driver // 连接具有DB2客户端的Provider实例
//Driver com.ibm.db2.jdbc.net.DB2.Driver // 连接不具有DB2客户端的Provider实例
URL jdbc:db2://localhost:5000/db_name // db_name为数据库名
Informix
Driver com.informix.jdbc.IfxDriver
URL jdbc:Informix-sqli://localhost:1533/db_name:INFORMIXSER=myserver //db_name为数据可名
JDBC-ODBC
Driver sun.jdbc.odbc.JdbcOdbcDriver

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MySQL is an open source relational database management system, mainly used to store and retrieve data quickly and reliably. Its working principle includes client requests, query resolution, execution of queries and return results. Examples of usage include creating tables, inserting and querying data, and advanced features such as JOIN operations. Common errors involve SQL syntax, data types, and permissions, and optimization suggestions include the use of indexes, optimized queries, and partitioning of tables.

MySQL is chosen for its performance, reliability, ease of use, and community support. 1.MySQL provides efficient data storage and retrieval functions, supporting multiple data types and advanced query operations. 2. Adopt client-server architecture and multiple storage engines to support transaction and query optimization. 3. Easy to use, supports a variety of operating systems and programming languages. 4. Have strong community support and provide rich resources and solutions.

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