springboot2+mybatis+shardingsphere-5.5.1

注意：

1.druid不能boot-starter方式引入

2.snakeyaml需要1.33 （'void org.yaml.snakeyaml.LoaderOptions.setCodePointLimit(int)'） #30318

3.spring.datasource.driverClassName: org.apache.shardingsphere.driver.ShardingSphereDriver

4.如果使用了quartz，需要指定独立数据源（Table or view 'QRTZ_LOCKS' does not exist.）

5.druid的密码加密正常

6.druid的配置需放在 shardingsphere的yaml文件中，且为驼峰

以下是具体代码，主实现用户日志按月存表

1.pom

<dependency>
	<groupId>com.alibaba</groupId>
	<artifactId>druid</artifactId>
</dependency>
<dependency>
	<groupId>org.apache.shardingsphere</groupId>
	<artifactId>shardingsphere-jdbc</artifactId>
</dependency>
<dependency>
	<groupId>org.yaml</groupId>
	<artifactId>snakeyaml</artifactId>
	<version>1.33</version>
</dependency>

2.application.yml

spring:
  datasource:
    driverClassName: org.apache.shardingsphere.driver.ShardingSphereDriver
    url: jdbc:shardingsphere:classpath:sharding-dev.yml

3.sharding-dev.yml

mode:
  type: Standalone
  repository:
    type: JDBC

dataSources:
  ds0:
    dataSourceClassName: com.alibaba.druid.pool.DruidDataSource
    driver-class-name: com.mysql.cj.jdbc.Driver
    url: jdbc:mysql://localhost:3306/demo?useSSL=false&createDatabaseIfNotExist=true&useUnicode=true&characterEncoding=UTF-8&allowMultiQueries=true&noAccessToProcedureBodies=true&rewriteBatchedStatements=true
    username: root
#    password: root
    password: root
    initialSize: 5
    minIdle: 10
    maxActive: 50
    maxWait: 120000
    asyncInit: true
    timeBetweenEvictionRunsMillis: 120000
    minEvictableIdleTimeMillis: 60000
    maxEvictableIdleTimeMillis: 600000
    validationQuery: select 1
    testWhileIdle: true
    testOnBorrow: false
    testOnReturn: false
    connectTimeout: 120000
    socketTimeout: 120000
    filters: wall,config
    #密码加密
    connectionProperties: config.decrypt=true;config.decrypt.key=publicKey

rules: # 配置  表规则
- !SHARDING
  tables:
    user_operation_log: # 分表，表名
      # 配置分库策略
      # 由数据源名 + 表名组成，以小数点分隔。多个表以逗号分隔，支持inline表达式。缺省表示使用已知数据源与逻辑表名称生成数据节点，用于广播表（即每个库中都需要一个同样的表用于关联查询，多为字典表）或只分库不分表且所有库的表结构完全一致的情况
      actualDataNodes: ds0.user_operation_log_$->{202411..202412}  #数据节点,均匀分布
      tableStrategy:  # 配置分表策略
        standard:
          shardingColumn: create_time
          shardingAlgorithmName: table-inline
  # 配置 分片算法
  shardingAlgorithms:
    table-inline:
      type: INLINE
      props:
        algorithm-expression: user_operation_log_$->{create_time.toString().substring(0, 7).replace("-", "")}  #按模运算分配
        allow-range-query-with-inline-sharding: true

props:
  sql-show: true