


Detailed explanation of the simple use of MySQL and sharing of JDBC sample code
MySql simple operation
<code>//启动mysql net start mysql //登陆 mysql -u root -p //创建建数据库 create database mydb; create database test; //删除数据库 drop database test; //使用数据库 use mydb; //创建表 create table mytable(name varchar(20),sex char); //显示数据库中所有表 show tables; //增加一列 alter table mytable add age int; //插入 insert mytable value("liu",'f',22); insert mytable value("wang",'m',22); insert mytable(name,sex) value("li",'f'); insert mytable value("zhao",'m',22); //删除表中项 delete from mytable where name=”liu“; delete from mytable where name=”li“; //更新 update mytable set age = 23 where name = "wang"; //查询 select * from mytable; </code>
JDBC
JDBC driver is divided into 4 categories
JDBC-ODBC bridge part local API, part Java driver JDBC network pure Java driver Program local protocol Java driver
JDBC example
<code>import java.sql.*; import com.mysql.jdbc.Driver; public class JDBCMySql { public void operateMySql() throws SQLException, ClassNotFoundException{ String driverName ="com.mysql.jdbc.Driver"; String URL = "jdbc:mysql://127.0.0.1:3306/mydb"; String sql = "SELECT * FROM mydb.mytable"; String username = "root"; String password = ""; Connection conn = null; try{ //加载驱动 Driver.class.forName(driverName); //建立连接 conn = DriverManager.getConnection(URL,username,password); //创建statement来执行sql语句 Statement ps = conn.createStatement(); //结果集处理 ResultSet rs = ps.executeQuery(sql); while(rs.next()) { System.out.println(rs.getString("name")+","+rs.getString("sex")+","+rs.getInt("age")); } } catch (ClassNotFoundException e) { e.printStackTrace(); } catch(SQLException e){ e.printStackTrace(); } //关闭连接 finally{ if(conn!=null){ try{ conn.close(); }catch(SQLException e){ e.printStackTrace(); } } } } }</code>
Create a test case to verify
<code> import static org.junit.Assert.*; import java.sql.SQLException; import org.junit.Before; import org.junit.Test; public class JDBCTest { @Test public void test() throws ClassNotFoundException, SQLException { JDBCMySql jm = new JDBCMySql(); jm.operateMySql(); } }</code>
Execution results
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InnoDBBufferPool reduces disk I/O by caching data and indexing pages, improving database performance. Its working principle includes: 1. Data reading: Read data from BufferPool; 2. Data writing: After modifying the data, write to BufferPool and refresh it to disk regularly; 3. Cache management: Use the LRU algorithm to manage cache pages; 4. Reading mechanism: Load adjacent data pages in advance. By sizing the BufferPool and using multiple instances, database performance can be optimized.

Compared with other programming languages, MySQL is mainly used to store and manage data, while other languages such as Python, Java, and C are used for logical processing and application development. MySQL is known for its high performance, scalability and cross-platform support, suitable for data management needs, while other languages have advantages in their respective fields such as data analytics, enterprise applications, and system programming.

MySQL is worth learning because it is a powerful open source database management system suitable for data storage, management and analysis. 1) MySQL is a relational database that uses SQL to operate data and is suitable for structured data management. 2) The SQL language is the key to interacting with MySQL and supports CRUD operations. 3) The working principle of MySQL includes client/server architecture, storage engine and query optimizer. 4) Basic usage includes creating databases and tables, and advanced usage involves joining tables using JOIN. 5) Common errors include syntax errors and permission issues, and debugging skills include checking syntax and using EXPLAIN commands. 6) Performance optimization involves the use of indexes, optimization of SQL statements and regular maintenance of databases.

MySQL is suitable for beginners to learn database skills. 1. Install MySQL server and client tools. 2. Understand basic SQL queries, such as SELECT. 3. Master data operations: create tables, insert, update, and delete data. 4. Learn advanced skills: subquery and window functions. 5. Debugging and optimization: Check syntax, use indexes, avoid SELECT*, and use LIMIT.

MySQL efficiently manages structured data through table structure and SQL query, and implements inter-table relationships through foreign keys. 1. Define the data format and type when creating a table. 2. Use foreign keys to establish relationships between tables. 3. Improve performance through indexing and query optimization. 4. Regularly backup and monitor databases to ensure data security and performance optimization.

MySQL is an open source relational database management system that is widely used in Web development. Its key features include: 1. Supports multiple storage engines, such as InnoDB and MyISAM, suitable for different scenarios; 2. Provides master-slave replication functions to facilitate load balancing and data backup; 3. Improve query efficiency through query optimization and index use.

SQL is used to interact with MySQL database to realize data addition, deletion, modification, inspection and database design. 1) SQL performs data operations through SELECT, INSERT, UPDATE, DELETE statements; 2) Use CREATE, ALTER, DROP statements for database design and management; 3) Complex queries and data analysis are implemented through SQL to improve business decision-making efficiency.

The basic operations of MySQL include creating databases, tables, and using SQL to perform CRUD operations on data. 1. Create a database: CREATEDATABASEmy_first_db; 2. Create a table: CREATETABLEbooks(idINTAUTO_INCREMENTPRIMARYKEY, titleVARCHAR(100)NOTNULL, authorVARCHAR(100)NOTNULL, published_yearINT); 3. Insert data: INSERTINTObooks(title, author, published_year)VA


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