最近Shardingsphere在Apache Software Foundation 简称ASF 毕业成为Apache顶级项目,也是目前ASF收个分布式数据库中间件项目,未来可期啊,今天我们就搭建一下springboot整合Shardingsphere4.0版本。
依赖:
- jdk1.8
- maven3.6.3
- mybatis plus
- mysql8.0
- Shardingsphere 4.0
数据库的结构:
--|
|- ds0
| |- t_order0
| |- t_order1
|
|- ds1
|- t_order0
|- t_order1
创建数据库
数据库ds0
CREATE DATABASE IF NOT EXISTS `ds0` /*!40100 DEFAULT CHARACTER SET utf8mb4 COLLATE utf8mb4_general_ci */;
USE `ds0`;
SET NAMES utf8mb4;
SET FOREIGN_KEY_CHECKS = 0;
-- ----------------------------
-- Table structure for t_order0
-- ----------------------------
DROP TABLE IF EXISTS `t_order0`;
CREATE TABLE `t_order0` (
`order_id` bigint(0) NOT NULL COMMENT '订单号(主键)',
`order_name` varchar(255) CHARACTER SET utf8mb4 COLLATE utf8mb4_general_ci NOT NULL COMMENT '订单名称',
`order_status` int(0) NULL DEFAULT NULL COMMENT '订单状态',
`user_id` bigint(0) NOT NULL COMMENT '用户id',
PRIMARY KEY (`order_id`) USING BTREE
) ENGINE = InnoDB CHARACTER SET = utf8mb4 COLLATE = utf8mb4_general_ci ROW_FORMAT = Dynamic;
-- ----------------------------
-- Table structure for t_order1
-- ----------------------------
DROP TABLE IF EXISTS `t_order1`;
CREATE TABLE `t_order1` (
`order_id` bigint(0) NOT NULL COMMENT '订单号(主键)',
`order_name` varchar(255) CHARACTER SET utf8mb4 COLLATE utf8mb4_general_ci NOT NULL COMMENT '订单名称',
`order_status` int(0) NULL DEFAULT NULL COMMENT '订单状态',
`user_id` bigint(0) NOT NULL COMMENT '用户id',
PRIMARY KEY (`order_id`) USING BTREE
) ENGINE = InnoDB CHARACTER SET = utf8mb4 COLLATE = utf8mb4_general_ci ROW_FORMAT = Dynamic;
SET FOREIGN_KEY_CHECKS = 1;
数据库ds1
CREATE DATABASE IF NOT EXISTS `ds1` /*!40100 DEFAULT CHARACTER SET utf8mb4 COLLATE utf8mb4_general_ci */;
USE `ds1`;
SET NAMES utf8mb4;
SET FOREIGN_KEY_CHECKS = 0;
-- ----------------------------
-- Table structure for t_order0
-- ----------------------------
DROP TABLE IF EXISTS `t_order0`;
CREATE TABLE `t_order0` (
`order_id` bigint(0) NOT NULL COMMENT '订单号(主键)',
`order_name` varchar(255) CHARACTER SET utf8mb4 COLLATE utf8mb4_general_ci NOT NULL COMMENT '订单名称',
`order_status` int(0) NULL DEFAULT NULL COMMENT '订单状态',
`user_id` bigint(0) NOT NULL COMMENT '用户id',
PRIMARY KEY (`order_id`) USING BTREE
) ENGINE = InnoDB CHARACTER SET = utf8mb4 COLLATE = utf8mb4_general_ci ROW_FORMAT = Dynamic;
-- ----------------------------
-- Table structure for t_order1
-- ----------------------------
DROP TABLE IF EXISTS `t_order1`;
CREATE TABLE `t_order1` (
`order_id` bigint(0) NOT NULL COMMENT '订单号(主键)',
`order_name` varchar(255) CHARACTER SET utf8mb4 COLLATE utf8mb4_general_ci NOT NULL COMMENT '订单名称',
`order_status` int(0) NULL DEFAULT NULL COMMENT '订单状态',
`user_id` bigint(0) NOT NULL COMMENT '用户id',
PRIMARY KEY (`order_id`) USING BTREE
) ENGINE = InnoDB CHARACTER SET = utf8mb4 COLLATE = utf8mb4_general_ci ROW_FORMAT = Dynamic;
SET FOREIGN_KEY_CHECKS = 1;
pom.xml
<?xml version="1.0" encoding="UTF-8"?>
<project xmlns="http://maven.apache.org/POM/4.0.0" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance"
xsi:schemaLocation="http://maven.apache.org/POM/4.0.0 https://maven.apache.org/xsd/maven-4.0.0.xsd">
<modelVersion>4.0.0</modelVersion>
<parent>
<groupId>org.springframework.boot</groupId>
<artifactId>spring-boot-starter-parent</artifactId>
<version>2.2.6.RELEASE</version>
<relativePath/> <!-- lookup parent from repository -->
</parent>
<groupId>com.winterchen</groupId>
<artifactId>shardingsphere-demo</artifactId>
<version>0.0.1-SNAPSHOT</version>
<name>shardingsphere-demo</name>
<description>shardingsphere demo</description>
<properties>
<java.version>1.8</java.version>
<sharding-sphere.version>4.0.1</sharding-sphere.version>
</properties>
<dependencies>
<dependency>
<groupId>org.springframework.boot</groupId>
<artifactId>spring-boot-starter-web</artifactId>
</dependency>
<!--mysql,根据自己数据库版本进行相关调整,不然会报错-->
<dependency>
<groupId>mysql</groupId>
<artifactId>mysql-connector-java</artifactId>
<version>8.0.13</version>
<scope>runtime</scope>
</dependency>
<!--Mybatis-Plus-->
<dependency>
<groupId>com.baomidou</groupId>
<artifactId>mybatis-plus-boot-starter</artifactId>
<version>3.1.1</version>
</dependency>
<!-- for spring boot -->
<dependency>
<groupId>org.apache.shardingsphere</groupId>
<artifactId>sharding-jdbc-spring-boot-starter</artifactId>
<version>${sharding-sphere.version}</version>
</dependency>
<!-- for spring namespace -->
<dependency>
<groupId>org.apache.shardingsphere</groupId>
<artifactId>sharding-jdbc-spring-namespace</artifactId>
<version>${sharding-sphere.version}</version>
</dependency>
</dependencies>
<build>
<plugins>
<plugin>
<groupId>org.springframework.boot</groupId>
<artifactId>spring-boot-maven-plugin</artifactId>
</plugin>
</plugins>
</build>
</project>
注意:数据库驱动版本,请根据自己数据库版本进行相关调整,不然会报错
项目配置
application.properties
server.port=8098
# 数据源 ds0,ds1
spring.shardingsphere.datasource.names=ds0,ds1
# 第一个数据库
spring.shardingsphere.datasource.ds0.type=com.zaxxer.hikari.HikariDataSource
spring.shardingsphere.datasource.ds0.driver-class-name=com.mysql.cj.jdbc.Driver
spring.shardingsphere.datasource.ds0.jdbc-url=jdbc:mysql://192.168.133.134:3306/ds0?serverTimezone=UTC&useUnicode=true&characterEncoding=utf8&characterSetResults=utf8&useSSL=false&verifyServerCertificate=false&autoReconnct=true&autoReconnectForPools=true&allowMultiQueries=true
spring.shardingsphere.datasource.ds0.username=root
spring.shardingsphere.datasource.ds0.password=root
# 第二个数据库
spring.shardingsphere.datasource.ds1.type=com.zaxxer.hikari.HikariDataSource
spring.shardingsphere.datasource.ds1.driver-class-name=com.mysql.cj.jdbc.Driver
spring.shardingsphere.datasource.ds1.jdbc-url=jdbc:mysql://192.168.133.134:3306/ds1?serverTimezone=UTC&useUnicode=true&characterEncoding=utf8&characterSetResults=utf8&useSSL=false&verifyServerCertificate=false&autoReconnct=true&autoReconnectForPools=true&allowMultiQueries=true
spring.shardingsphere.datasource.ds1.username=root
spring.shardingsphere.datasource.ds1.password=root
# 水平拆分的数据库(表) 配置分库 + 分表策略 行表达式分片策略
# 分库策略
spring.shardingsphere.sharding.default-database-strategy.inline.sharding-column=user_id
spring.shardingsphere.sharding.default-database-strategy.inline.algorithm-expression=ds$->{user_id % 2}
# 分表策略 其中t_order为逻辑表 分表主要取决于order_id行
spring.shardingsphere.sharding.tables.t_order.actual-data-nodes=ds$->{0..1}.t_order$->{0..1}
spring.shardingsphere.sharding.tables.t_order.table-strategy.inline.sharding-column=order_id
spring.shardingsphere.sharding.tables.t_order.key-generator.column=order_id
spring.shardingsphere.sharding.tables.t_order.key-generator.type=SNOWFLAKE
# 分片算法表达式
spring.shardingsphere.sharding.tables.t_order.table-strategy.inline.algorithm-expression=t_order$->{order_id % 2}
# 打印执行的数据库以及语句
spring.shardingsphere.props.sql.show=true
spring.main.allow-bean-definition-overriding=true
# mybatis-plus
mybatis-plus.mapper-locations=classpath:/mapper/*.xml
mybatis-plus.configuration.jdbc-type-for-null='null'
注意:数据库连接配置、mybatis-plus扫包路径,需要根据实际情况进行改变
以上的配置实现了分库分表,一下几点概念需要明白:
逻辑表
水平拆分的数据库(表)的相同逻辑和数据结构表的总称。例:订单数据根据主键尾数拆分为10张表,分别是t_order0到t_order9,他们的逻辑表名为t_order。
真实表
在分片的数据库中真实存在的物理表。即上个示例中的t_order0到t_order9。
数据节点
数据分片的最小单元。由数据源名称和数据表组成,例:ds0.t_order0。
分片键
用于分片的数据库字段,是将数据库(表)水平拆分的关键字段。例:将订单表中的订单主键的尾数取模分片,则订单主键为分片字段。 SQL中如果无分片字段,将执行全路由,性能较差。 除了对单分片字段的支持,ShardingSphere也支持根据多个字段进行分片。
分片算法
通过分片算法将数据分片,支持通过=、>=、<=、>、<、BETWEEN和IN分片。分片算法需要应用方开发者自行实现,可实现的灵活度非常高。
目前提供4种分片算法。由于分片算法和业务实现紧密相关,因此并未提供内置分片算法,而是通过分片策略将各种场景提炼出来,提供更高层级的抽象,并提供接口让应用开发者自行实现分片算法。
- 精确分片算法
对应PreciseShardingAlgorithm,用于处理使用单一键作为分片键的=与IN进行分片的场景。需要配合StandardShardingStrategy使用。
- 范围分片算法
对应RangeShardingAlgorithm,用于处理使用单一键作为分片键的BETWEEN AND、>、<、>=、<=进行分片的场景。需要配合StandardShardingStrategy使用。
- 复合分片算法
对应ComplexKeysShardingAlgorithm,用于处理使用多键作为分片键进行分片的场景,包含多个分片键的逻辑较复杂,需要应用开发者自行处理其中的复杂度。需要配合ComplexShardingStrategy使用。
- Hint分片算法
对应HintShardingAlgorithm,用于处理使用Hint行分片的场景。需要配合HintShardingStrategy使用。
分片策略
包含分片键和分片算法,由于分片算法的独立性,将其独立抽离。真正可用于分片操作的是分片键 + 分片算法,也就是分片策略。目前提供5种分片策略。
- 标准分片策略
对应StandardShardingStrategy。提供对SQL语句中的=, >, <, >=, <=, IN和BETWEEN AND的分片操作支持。StandardShardingStrategy只支持单分片键,提供PreciseShardingAlgorithm和RangeShardingAlgorithm两个分片算法。PreciseShardingAlgorithm是必选的,用于处理=和IN的分片。RangeShardingAlgorithm是可选的,用于处理BETWEEN AND, >, <, >=, <=分片,如果不配置RangeShardingAlgorithm,SQL中的BETWEEN AND将按照全库路由处理。
- 复合分片策略
对应ComplexShardingStrategy。复合分片策略。提供对SQL语句中的=, >, <, >=, <=, IN和BETWEEN AND的分片操作支持。ComplexShardingStrategy支持多分片键,由于多分片键之间的关系复杂,因此并未进行过多的封装,而是直接将分片键值组合以及分片操作符透传至分片算法,完全由应用开发者实现,提供最大的灵活度。
- 行表达式分片策略
对应InlineShardingStrategy。使用Groovy的表达式,提供对SQL语句中的=和IN的分片操作支持,只支持单分片键。对于简单的分片算法,可以通过简单的配置使用,从而避免繁琐的Java代码开发,如: t_user_$->{u_id % 8} 表示t_user表根据u_id模8,而分成8张表,表名称为t_user_0到t_user_7。
- Hint分片策略
对应HintShardingStrategy。通过Hint指定分片值而非从SQL中提取分片值的方式进行分片的策略。
- 不分片策略
对应NoneShardingStrategy。不分片的策略。
SQL Hint
对于分片字段非SQL决定,而由其他外置条件决定的场景,可使用SQL Hint灵活的注入分片字段。例:内部系统,按照员工登录主键分库,而数据库中并无此字段。SQL Hint支持通过Java API和SQL注释(待实现)两种方式使用。
自增主键生成策略
通过在客户端生成自增主键替换以数据库原生自增主键的方式,做到分布式主键无重复。 采用UUID.randomUUID()的方式产生分布式主键。或者 SNOWFLAKE
mybatis-plus
mybatis-plus极大的提高了开发效率,简单的配置和使用mybatis-plus
配置mybatis-plus的分页
package com.winterchen.shardingspheredemo.configuration;
@EnableTransactionManagement
@Configuration
@MapperScan("com.winterchen.shardingspheredemo.dao")
public class MybatisPlusConfig {
@Bean
public PaginationInterceptor paginationInterceptor() {
PaginationInterceptor paginationInterceptor = new PaginationInterceptor();
// 设置请求的页面大于最大页后操作, true调回到首页,false 继续请求 默认false
// paginationInterceptor.setOverflow(false);
// 设置最大单页限制数量,默认 500 条,-1 不受限制
// paginationInterceptor.setLimit(500);
// 开启 count 的 join 优化,只针对部分 left join
paginationInterceptor.setCountSqlParser(new JsqlParserCountOptimize());
return paginationInterceptor;
}
}
配置自定义的通用mapper
package com.winterchen.shardingspheredemo.configuration;
import java.util.Map;
public interface MyBaseMapper<T> extends BaseMapper<T> {
IPage<T> selectAllByCondition(Page<?> page, @Param("condition")Map<String, Object> condition);
int deleteById(@Param("condition")Map<String, Object> condition);
}
代码
实体类
package com.winterchen.shardingspheredemo.model;
@TableName("t_order")
public class OrderInfo {
@TableId(value = "order_id")
private Long orderId;
@TableField(value = "order_name")
private String orderName;
@TableField(value = "order_status")
private Integer orderStatus;
@TableField(value = "user_id")
private Long userId;
//省略get/set
}
Mapper
mapper
package com.winterchen.shardingspheredemo.dao;
public interface OrderMapper extends MyBaseMapper<OrderInfo> {
IPage<OrderInfo> selectAllByCondition(Page<?> page, @Param("condition") Map<String, Object> condition);
int deleteById(@Param("condition")Map<String, Object> condition);
}
mapper xml
<?xml version="1.0" encoding="UTF-8" ?>
<!DOCTYPE mapper PUBLIC "-//mybatis.org//DTD Mapper 3.0//EN" "http://mybatis.org/dtd/mybatis-3-mapper.dtd" >
<mapper namespace="com.winterchen.shardingspheredemo.dao.OrderMapper">
<sql id="Base_Column_List">
order_id, order_name, order_status, user_id
</sql>
<select id="selectAllByCondition" resultType="com.winterchen.shardingspheredemo.model.OrderInfo">
select
<include refid="Base_Column_List"/>
from
t_order
<where>
<if test="condition.userId != null">
and user_id = #{condition.userId, jdbcType=BIGINT}
</if>
<if test="condition.orderId != null">
and order_id = #{condition.orderId, jdbcType=BIGINT}
</if>
<if test="condition.orderName != null and condition.orderName != ''">
and order_name like concat('%',#{condition.orderName,jdbcType=VARCHAR} ,'%')
</if>
<if test="condition.orderStatus != null">
and order_status = #{condition.orderStatus, jdbcType=INTEGER}
</if>
</where>
</select>
<delete id="deleteById">
delete from t_order where order_id = #{condition.orderId, jdbcType=BIGINT} and user_id = #{condition.userId, jdbcType=BIGINT}
</delete>
</mapper>
service
package com.winterchen.shardingspheredemo.service;
public interface OrderService extends IService<OrderInfo> {
@Override
boolean save(OrderInfo entity);
@Override
boolean removeById(Serializable id);
@Override
boolean updateById(OrderInfo entity);
IPage<OrderInfo> pageOrderInfos(Page<?> page, OrderInfo orderInfo);
}
package com.winterchen.shardingspheredemo.service.impl;
@Service
public class OrderServiceImpl extends ServiceImpl<OrderMapper, OrderInfo> implements OrderService {
@Override
public boolean save(OrderInfo entity) {
return super.save(entity);
}
@Override
public boolean removeById(Serializable id) {
return super.removeById(id);
}
@Override
public boolean updateById(OrderInfo entity) {
return super.updateById(entity);
}
@Override
public IPage<OrderInfo> pageOrderInfos(Page<?> page, OrderInfo orderInfo) {
Map<String, Object> map = new HashMap<>();
map.put("userId", orderInfo.getUserId());
map.put("orderId", orderInfo.getOrderId());
map.put("orderName", orderInfo.getOrderName());
map.put("orderStatus", orderInfo.getOrderStatus());
return super.baseMapper.selectAllByCondition(page, map);
}
}
controller
package com.winterchen.shardingspheredemo.controller;
@RestController
@RequestMapping("/api/v1/order")
public class OrderController {
@Autowired
private OrderService orderService;
@PostMapping("")
public boolean save(@RequestBody OrderInfo orderInfo) {
return orderService.save(orderInfo);
}
@DeleteMapping("/{orderId}")
public boolean deleteById(
@PathVariable("orderId")
Long id) {
return orderService.removeById(id);
}
@PutMapping("/{orderId}")
public boolean updateById(
@PathVariable("orderId")
Long orderId,
@RequestBody OrderInfo orderInfo) {
orderInfo.setOrderId(orderId);
return orderService.updateById(orderInfo);
}
@GetMapping("/list")
public IPage page(
@RequestParam(name = "pageNum", required = false, defaultValue = "1")
Integer pageNum,
@RequestParam(name = "pageSize", required = false, defaultValue = "10")
Integer pageSize,
@RequestParam(name = "orderId", required = false)
Long orderId,
@RequestParam(name = "orderStatus", required = false)
Integer orderStatus,
@RequestParam(name = "orderName", required = false)
String orderName) {
Page<OrderInfo> page = new Page<>(pageNum,pageSize);
OrderInfo orderInfo = new OrderInfo();
orderInfo.setOrderId(orderId);
orderInfo.setOrderName(orderName);
orderInfo.setOrderStatus(orderStatus);
return orderService.pageOrderInfos(page, orderInfo);
}
}
启动类
package com.winterchen.shardingspheredemo;
@SpringBootApplication
public class ShardingsphereDemoApplication {
public static void main(String[] args) {
SpringApplication.run(ShardingsphereDemoApplication.class, args);
}
}
以上就整合完毕了,可以使用postMan进行测试,测试截图就不展示了,后面会介绍关于读写分离的相关介绍,如果需要查看详细的介绍可以参考官方文档。
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