数据库优化-Sharding-JDBC实现读写分离

以下是使用Sharding-JDBC实现数据库读写分离的示例代码：

1. 在项目的pom.xml中添加Sharding-JDBC的依赖：

<dependency>
    <groupId>org.apache.shardingsphere</groupId>
    <artifactId>sharding-jdbc-spring-boot-starter</artifactId>
    <version>最新版本</version>
</dependency>

2. 在application.yml中配置Sharding-JDBC的读写分离规则：

spring:
  shardingsphere:
    datasource:
      names: ds0,ds1
      ds0:
        type: com.zaxxer.hikari.HikariDataSource
        driver-class-name: com.mysql.cj.jdbc.Driver
        jdbc-url: jdbc:mysql://primary_db_host:3306/sharding_db?useSSL=false
        username: root
        password:
      ds1:
        type: com.zaxxer.hikari.HikariDataSource
        driver-class-name: com.mysql.cj.jdbc.Driver
        jdbc-url: jdbc:mysql://replica_db_host:3306/sharding_db?useSSL=false
        username: root
        password:
        read-only: true # 标记为只读，用于读操作
    sharding:
      tables:
        t_order:
          actual-data-nodes: ds$->{0..1}.t_order_$->{0..1}
          database-strategy:
            standard:
              sharding-column: order_id
              sharding-algorithm-name: database-inline
          table-strategy:
            standard:
              sharding-column: order_id
              sharding-algorithm-name: table-inline
          key-generators:
            column: order_id
            key-generator-name: snowflake
      sharding-algorithms:
        database-inline:
          type: INLINE
          props:
            algorithm-expression: ds$->{order_id % 2}
        table-inline:
          type: INLINE
          props:
            algorithm-expression: t_order_$->{order_id % 2}
      key-generators:
        snowflake:
          type: SNOWFLAKE
 
server:
  port: 8080

3. 在代码中使用Sharding-JDBC进行数据库操作：

@Autowired
private JdbcTemplate jdbcTemplate;
 
public void insertOrder(Order order) {
    jdbcTemplate.update("INSERT INTO t_order (order_id, user_id, status) VALUES (?, ?, ?)",
                        order.getOrderId(), order.getUserId(), order.getStatus());
}
 
public Order selectOrderById(Long orderId) {
    return jdbcTemplate.queryForObject("SELECT order_id, user_id, status