Java JDBC使用配置文件连接数据库: 创建后缀名为:.properties的文件,文件内容包括,数据库驱动、连接的数据库地址、用户名、密
Java JDBC使用配置文件连接数据库:
创建后缀名为:.properties的文件,,文件内容包括,数据库驱动、连接的数据库地址、用户名、密码……
以Mysql为例创建config.properties配置文件其内容如下:
DRIVER_CLASS=com.mysql.jdbc.Driver
CONNECTION_URL=jdbc:mysql://localhost:3306/test
CONNECTION_USERNAME=root
CONNECTION_PASSWORD=root
创建连接数据库类:
例如:
public class ConnectionFactory {
private static Properties prop;
private static final String CONFIGNAME = "config.properties";
private static List
private Connection conn;
public JDBCFactory() throws Exception{
conns = new ArrayList
prop = new Properties();
//加载配置文件
prop.load(this.getClass().getResourceAsStream(CONFIGNAME));
//获取数据库驱动
Class.forName(prop.getProperty("DRIVER_CLASS"));
//创建十个数据库连接并放入List集合(conns),
//list集合(conns)相当于一个有十个数据库连接的数据库连接池
for (int i = 0; i conn = DriverManager.getConnection(
prop.getProperty("CONNECTION_URL"),
prop.getProperty("CONNECTION_USERNAME"),
prop.getProperty("CONNECTION_PASSWORD"));
conns.add(conn);
}
}
//从List集合(conns)中获取数据库连接
public Connection getConnection(){
return conns.remove(0);
}
//已用完的数据库连接从新添加到List集合(conns)中
public void close(Connection conn){
if(conn!=null){
conns.add(conn);
}
}
}
定义测试类:
public class JDBCTest {
public static void main(String[] args) throws Exception {
//创建ConnectionFactory对象,同时创建数据库连接池
ConnectionFactory cf = new ConnectionFactory();
//获取数据库连接
Connection conn = cf.getConnection();
//select sql语句
PreparedStatement ps = conn.prepareStatement("select * from user");
//执行sql语句
ResultSet rs = ps.executeQuery();
//循环输入查询到的内容
while(rs.next()){
//id username password 为查询数据库的字段
System.out.println("id:"+rs.getInt("id")+
"Username:"+rs.getString("username")+
"Password:"+rs.getString("password"));
}
}
}

The main role of MySQL in web applications is to store and manage data. 1.MySQL efficiently processes user information, product catalogs, transaction records and other data. 2. Through SQL query, developers can extract information from the database to generate dynamic content. 3.MySQL works based on the client-server model to ensure acceptable query speed.

The steps to build a MySQL database include: 1. Create a database and table, 2. Insert data, and 3. Conduct queries. First, use the CREATEDATABASE and CREATETABLE statements to create the database and table, then use the INSERTINTO statement to insert the data, and finally use the SELECT statement to query the data.

MySQL is suitable for beginners because it is easy to use and powerful. 1.MySQL is a relational database, and uses SQL for CRUD operations. 2. It is simple to install and requires the root user password to be configured. 3. Use INSERT, UPDATE, DELETE, and SELECT to perform data operations. 4. ORDERBY, WHERE and JOIN can be used for complex queries. 5. Debugging requires checking the syntax and use EXPLAIN to analyze the query. 6. Optimization suggestions include using indexes, choosing the right data type and good programming habits.

MySQL is suitable for beginners because: 1) easy to install and configure, 2) rich learning resources, 3) intuitive SQL syntax, 4) powerful tool support. Nevertheless, beginners need to overcome challenges such as database design, query optimization, security management, and data backup.

Yes,SQLisaprogramminglanguagespecializedfordatamanagement.1)It'sdeclarative,focusingonwhattoachieveratherthanhow.2)SQLisessentialforquerying,inserting,updating,anddeletingdatainrelationaldatabases.3)Whileuser-friendly,itrequiresoptimizationtoavoidper

ACID attributes include atomicity, consistency, isolation and durability, and are the cornerstone of database design. 1. Atomicity ensures that the transaction is either completely successful or completely failed. 2. Consistency ensures that the database remains consistent before and after a transaction. 3. Isolation ensures that transactions do not interfere with each other. 4. Persistence ensures that data is permanently saved after transaction submission.

MySQL is not only a database management system (DBMS) but also closely related to programming languages. 1) As a DBMS, MySQL is used to store, organize and retrieve data, and optimizing indexes can improve query performance. 2) Combining SQL with programming languages, embedded in Python, using ORM tools such as SQLAlchemy can simplify operations. 3) Performance optimization includes indexing, querying, caching, library and table division and transaction management.

MySQL uses SQL commands to manage data. 1. Basic commands include SELECT, INSERT, UPDATE and DELETE. 2. Advanced usage involves JOIN, subquery and aggregate functions. 3. Common errors include syntax, logic and performance issues. 4. Optimization tips include using indexes, avoiding SELECT* and using LIMIT.


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