shardingsphere-jdbc之JPA boundary range分片算法

基于shardingsphere-jdbc 5.1.0 进行单库分表.

基于分片边界的范围分片算法

类型：BOUNDARY_RANGE

	
            org.apache.shardingsphere
            shardingsphere-jdbc-core-spring-boot-starter
            5.1.0
        
	 
            org.springframework.boot
            spring-boot-starter-data-jpa
        

spring:
  application:
    name: jdbc-jpa-boundary
  profiles:
    include: jdbc
  jpa:
    show-sql: true
    hibernate:
      ddl-auto: none
      naming:
        implicit-strategy: org.springframework.boot.orm.jpa.hibernate.SpringImplicitNamingStrategy
        physical-strategy: org.springframework.boot.orm.jpa.hibernate.SpringPhysicalNamingStrategy
    database-platform: org.hibernate.dialect.MySQL8Dialect
    properties:
      hibernate.enable_lazy_load_no_trans: true

logging:
  file:
    name: logs/${spring.application.name}.log
  level:
    org.springframework: info
    com.lance.sharding.range: debug

spring:
  shardingsphere:
    datasource:
      ds:
        type: com.zaxxer.hikari.HikariDataSource
        driver-class-name: com.mysql.cj.jdbc.Driver
        jdbc-url: jdbc:mysql://127.0.0.1:3306/bbs_1?serverTimezone=UTC&useSSL=false&useUnicode=true&characterEncoding=UTF-8
        password: li123456
        username: root
      names: ds
    rules:
      sharding:
        binding-tables:
          - t_order,t_order_item
        broadcast-tables: t_address
        sharding-algorithms:
          t-order-algorithm:
            type: BOUNDARY_RANGE
            props:
              sharding-ranges: 0, 100, 500, 1000, 5000, 10000
          t-order-item-inline:
            type: INLINE
            props:
              algorithm-expression: t_order_item_$->{order_id % 2}
        tables:
          t_order:
            actual-data-nodes: ds.t_order_$->{0..5}
            table-strategy:
              standard:
                sharding-algorithm-name: t-order-algorithm
                sharding-column: price
          t_order_item:
            actual-data-nodes: ds.t_order_item_$->{0..1}
            table-strategy:
              standard:
                sharding-algorithm-name: t-order-item-inline
                sharding-column: order_id
    props:
      sql-show: true

CREATE TABLE `t_order_1`
(
    `order_id`    bigint NOT NULL AUTO_INCREMENT,
    `price`       double(12,2) NOT 0 ,
    `user_id`     int    NOT NULL,
    `address_id`  bigint NOT NULL,
    `city`        varchar(32) NULL DEFAULT NULL,
    `status`      tinyint NULL DEFAULT NULL,
    `interval_time` datetime NULL DEFAULT NULL,
    `creator`     varchar(32) NULL DEFAULT NULL,
    `create_time` datetime NULL DEFAULT NULL,
    `updater`     varchar(32) NULL DEFAULT NULL,
    `update_time` datetime NULL DEFAULT NULL,
    PRIMARY KEY (`order_id`) USING BTREE
) ENGINE = InnoDB AUTO_INCREMENT = 1 CHARACTER SET = utf8 COLLATE = utf8_general_ci ROW_FORMAT = Dynamic

class OrderRepositoryTests {
  private final static String[] CITIES = {"shanghai", "beijing"};
  
  private final static long[] PRICES = {1, 18, 200, 880, 600, 1200, 3200, 6000, 9900};
  @Autowired
  private OrderRepository orderRepository;

  @Test
  @Disabled
  void save() {
    ThreadLocalRandom random = ThreadLocalRandom.current();
    Date[] dates = create();

    IntStream.range(0, 20).forEach(i -> {
      OrderEntity order = new OrderEntity();
      order.setOrderId(System.nanoTime() + i);
      order.setPrice(PRICES[i % PRICES.length]);
      order.setAddressId(i);
      order.setCity(CITIES[i % 2]);
      order.setUserId(Math.abs(random.nextInt()));
      order.setIntervalTime(dates[i % 6]);
      order.setCreator("user.0" + i);
      order.setCreateTime(new Date());
      order.setUpdater(order.getCreator());
      order.setUpdateTime(order.getCreateTime());
      orderRepository.save(order);
    });
  }

  @Test
  @Disabled
  void findOne() {
    long orderId = 31544967063674L;
    OrderEntity orderEntity = orderRepository.findByOrderIdAndPrice(orderId, 6000L);
    log.info("===>{}", orderEntity);
  }

  @Test
  @Disabled
  void findByPrice() {
    List list = orderRepository.findByPrice(6000L);

    log.info("===>{}", !list.isEmpty() ? list.size() : 0);
    log.info("===>{}", list);
  }

  private Date[] create() {
    Date[] dates = new Date[6];

    try {
      Date date = DateUtils.parseDate("2022-02-01 00:00:00", Locale.CHINA, "yyyy-MM-dd HH:mm:ss");
      IntStream.range(0, 6).forEach(i -> dates[i] = DateUtils.addDays(date, i));
    } catch (ParseException e) {
      log.error("date parse fail: ", e);
    }
    return dates;
  }
}

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