<properties>

  <sharding-sphere.version>4.1.0</sharding-sphere.version>
</properties>

<!-- 分庫分表：https://mvnrepository.com/artifact/org.apache.shardingsphere/sharding-jdbc-spring-boot-starter -->
<dependency>
  <groupId>org.apache.shardingsphere</groupId>
  <artifactId>sharding-jdbc-spring-boot-starter</artifactId>
  <version>${sharding-sphere.version}</version>
</dependency>

spring:
  shardingsphere:
    datasource:
      names: sharding-order-system
      sharding-order-system:
        type: com.alibaba.druid.pool.DruidDataSource
        driverClassName: com.mysql.jdbc.Driver
        url: jdbc:mysql://127.0.0.1:3306/order_system?useUnicode=true&characterEncoding=utf-8&useSSL=false&serverTimezone=GMT%2B8&useTimezone=true
        username: root
        password: root
    props:
      # 日志顯示SQL
      sql.show: true
    sharding:
      tables:
        # 訂單表 分表：20
        order:
          # 真實表 order_0
          actualDataNodes: sharding-order-system.order_$->{0..19}
          # 分庫策略
          databaseStrategy:
            none:
          # 分表策略
          tableStrategy:
            inline:
              shardingColumn: order_key
              # 分片算法行表達(dá)式，需符合groovy語法 '& Integer.MAX_VALUE' 位運(yùn)算使hash值為正數(shù)
              algorithmExpression: order_$->{(order_key.hashCode() & Integer.MAX_VALUE) % 20}

<!-- https://mvnrepository.com/artifact/com.baomidou/dynamic-datasource-spring-boot-starter -->
<dependency>
  <groupId>com.baomidou</groupId>
  <artifactId>dynamic-datasource-spring-boot-starter</artifactId>
  <version>3.1.1</version>
</dependency>

/**
 * 動態(tài)數(shù)據(jù)源配置：
 *
 * 使用{@link com.baomidou.dynamic.datasource.annotation.DS}注解，切換數(shù)據(jù)源
 *
 * <code>@DS(DataSourceConfiguration.SHARDING_DATA_SOURCE_NAME)</code>
 *
 * @author songyinyin
 * @date 2020/7/27 15:19
 */
@Configuration
@AutoConfigureBefore({DynamicDataSourceAutoConfiguration.class,
        SpringBootConfiguration.class})
public class DataSourceConfiguration {
	/**
     * 分表數(shù)據(jù)源名稱
     */
    private static final String SHARDING_DATA_SOURCE_NAME = "gits_sharding";
	/**
     * 動態(tài)數(shù)據(jù)源配置項
     */
    @Autowired
    private DynamicDataSourceProperties properties;

    /**
     * shardingjdbc有四種數(shù)據(jù)源，需要根據(jù)業(yè)務(wù)注入不同的數(shù)據(jù)源
     *
     * <p>1. 未使用分片, 脫敏的名稱(默認(rèn)): shardingDataSource;
     * <p>2. 主從數(shù)據(jù)源: masterSlaveDataSource;
     * <p>3. 脫敏數(shù)據(jù)源：encryptDataSource;
     * <p>4. 影子數(shù)據(jù)源：shadowDataSource
     *
     */
    @Lazy
    @Resource(name = "shardingDataSource")
    AbstractDataSourceAdapter shardingDataSource;

    @Bean
    public DynamicDataSourceProvider dynamicDataSourceProvider() {
        Map<String, DataSourceProperty> datasourceMap = properties.getDatasource();
        return new AbstractDataSourceProvider() {
            @Override
            public Map<String, DataSource> loadDataSources() {
                Map<String, DataSource> dataSourceMap = createDataSourceMap(datasourceMap);
                // 將 shardingjdbc 管理的數(shù)據(jù)源也交給動態(tài)數(shù)據(jù)源管理
                dataSourceMap.put(SHARDING_DATA_SOURCE_NAME, shardingDataSource);
                return dataSourceMap;
            }
        };
    }

    /**
     * 將動態(tài)數(shù)據(jù)源設(shè)置為首選的
     * 當(dāng)spring存在多個數(shù)據(jù)源時, 自動注入的是首選的對象
     * 設(shè)置為主要的數(shù)據(jù)源之后，就可以支持shardingjdbc原生的配置方式了
     *
     * @return
     */
    @Primary
    @Bean
    public DataSource dataSource(DynamicDataSourceProvider dynamicDataSourceProvider) {
        DynamicRoutingDataSource dataSource = new DynamicRoutingDataSource();
        dataSource.setPrimary(properties.getPrimary());
        dataSource.setStrict(properties.getStrict());
        dataSource.setStrategy(properties.getStrategy());
        dataSource.setProvider(dynamicDataSourceProvider);
        dataSource.setP6spy(properties.getP6spy());
        dataSource.setSeata(properties.getSeata());
        return dataSource;
    }
}

spring:
  datasource:
    # 動態(tài)數(shù)據(jù)源配置
    dynamic:
      datasource:
        master:
          type: com.alibaba.druid.pool.DruidDataSource
          driver-class-name: com.mysql.jdbc.Driver
          url: jdbc:mysql://127.0.0.1:3306/gits?useUnicode=true&characterEncoding=utf-8&useSSL=false&rewriteBatchedStatements=true
          username: root
          password: root
      # 指定默認(rèn)數(shù)據(jù)源名稱
      primary: master
  # 分表配置
  shardingsphere:
    datasource:
      names: sharding-order-system
      sharding-order-system:
        type: com.alibaba.druid.pool.DruidDataSource
        driverClassName: com.mysql.jdbc.Driver
        url: jdbc:mysql://172.20.20.19:3306/order_system?useUnicode=true&characterEncoding=utf-8&useSSL=false&serverTimezone=GMT%2B8&useTimezone=true
        username: root
        password: root
    props:
      # 日志顯示SQL
      sql.show: true
    sharding:
      tables:
        # 訂單表 分表：20
        order:
          # 真實表 order_0
          actualDataNodes: sharding-order-system.order_$->{0..19}
          # 分庫策略
          databaseStrategy:
            none:
          # 分表策略
          tableStrategy:
            inline:
              shardingColumn: order_key
              # 分片算法行表達(dá)式，需符合groovy語法 '& Integer.MAX_VALUE' 位運(yùn)算使hash值為正數(shù)
              algorithmExpression: order_$->{(order_key.hashCode() & Integer.MAX_VALUE) % 20}

@Service
@Slf4j
public class OrderServiceImpl extends OrderService {

    @Override
    @DS("gits_sharding")
    public List<Order> getOrderByUser(OrderQueryDTO dto) throws Exception {
        // 省略若干業(yè)務(wù)代碼
        ...
    }
}