Spring Boot集成Sharding-jdbc + Mybatis-Plus实现分库分表

程序员私房菜

共 8077字,需浏览 17分钟

 ·

2020-07-15 09:11

来源:https://blog.csdn.net/Macky_He/article/details/95754402 作者:Macky_He

一、 Sharding-jdbc简介

Sharding-jdbc是开源的数据库操作中间件;定位为轻量级Java框架,在Java的JDBC层提供的额外服务。它使用客户端直连数据库,以jar包形式提供服务,无需额外部署和依赖,可理解为增强版的JDBC驱动,完全兼容JDBC和各种ORM框架。

官方文档地址:https://shardingsphere.apache.org/document/current/cn/overview/

本文demo实现了分库分表功能。如有错误,欢迎各位在评论中指出。不胜感激!

粉丝福利,点击领取☞教妹子手撸了50个项目实战后,我住院了……

二、项目结构

首先创建一个一般的Spring boot项目,项目采用三层架构,结构图如下:

3efdf630fcfad2734928ec376e5fa326.webpPOM.xml文件如下:

         xsi:schemaLocation="http://maven.apache.org/POM/4.0.0 http://maven.apache.org/xsd/maven-4.0.0.xsd">    4.0.0            org.springframework.boot        spring-boot-starter-parent        2.1.6.RELEASE                 com.macky    spring-boot-shardingjdbc    0.0.1-SNAPSHOT    spring-boot-shardingjdbc    Demo project for spring-boot-shardingjdbc
1.8
org.springframework.boot spring-boot-starter-web
org.springframework.boot spring-boot-starter-test test mysql mysql-connector-java runtime com.baomidou mybatis-plus-boot-starter 3.1.1 io.shardingsphere sharding-jdbc-spring-boot-starter 3.1.0 io.shardingsphere sharding-jdbc-spring-namespace 3.1.0 org.projectlombok lombok
org.springframework.boot spring-boot-maven-plugin

实体类以书本为例

package com.macky.springbootshardingjdbc.entity;
import com.baomidou.mybatisplus.annotation.TableName;import com.baomidou.mybatisplus.extension.activerecord.Model;import groovy.transform.EqualsAndHashCode;import lombok.Data;import lombok.experimental.Accessors;
/** * @author Macky * @Title class Book * @Description: 书籍是实体类 * @date 2019/7/13 15:23 */@Data@EqualsAndHashCode(callSuper = true)@Accessors(chain = true)@TableName("book")public class Book extends Model { private int id; private String name; private int count;}

开放保存和查询两个接口,代码如下:

package com.macky.springbootshardingjdbc.controller;
import com.macky.springbootshardingjdbc.entity.Book;import com.macky.springbootshardingjdbc.service.BookService;import org.springframework.beans.factory.annotation.Autowired;import org.springframework.web.bind.annotation.*;
import java.util.List;
/** * @author Macky * @Title class BookController * @Description: TODO * @date 2019/7/12 20:53 */@RestControllerpublic class BookController {
@Autowired BookService bookService;
@RequestMapping(value = "/book", method = RequestMethod.GET) public List getItems(){ return bookService.getBookList(); }
@RequestMapping(value = "/book",method = RequestMethod.POST) public Boolean saveItem(Book book){ return bookService.save(book); }}

BookServiceImpl.java

package com.macky.springbootshardingjdbc.service.impl;
import com.baomidou.mybatisplus.core.toolkit.Wrappers;import com.baomidou.mybatisplus.extension.service.impl.ServiceImpl;import com.macky.springbootshardingjdbc.entity.Book;import com.macky.springbootshardingjdbc.mapper.BookMapper;import com.macky.springbootshardingjdbc.service.BookService;import org.springframework.stereotype.Service;
import java.util.List;
/** * @author Macky * @Title class BookServiceImpl * @Description: TODO * @date 2019/7/12 20:47 */@Servicepublic class BookServiceImpl extends ServiceImpl implements BookService {
@Override public List getBookList() { return baseMapper.selectList(Wrappers.lambdaQuery()); }
@Override public boolean save(Book book) { return super.save(book); }}

BookMapper.java

package com.macky.springbootshardingjdbc.mapper;
import com.baomidou.mybatisplus.core.mapper.BaseMapper;import com.macky.springbootshardingjdbc.entity.Book;
/** * @author Macky * @Title class BookMapper * @Description: TODO * @date 2019/7/12 20:46 */public interface BookMapper extends BaseMapper {}

创建数据库表,DDL语句如下

创建数据库表数据CREATE DATABASE IF NOT EXISTS `db0`;USE `db0`;DROP TABLE IF EXISTS `book_0`;CREATE TABLE `book_0` (   `id` INT ( 11 ) NOT NULL,    `name` VARCHAR ( 255 ) DEFAULT NULL, `count` INT ( 11 ) DEFAULT NULL, PRIMARY KEY ( `id` ) ) ENGINE = INNODB DEFAULT CHARSET = utf8mb4;DROP TABLE IF EXISTS `book_1`;CREATE TABLE `book_1` (  `id` INT ( 11 ) NOT NULL,    `name` VARCHAR ( 255 ) DEFAULT NULL, `count` INT ( 11 ) DEFAULT NULL, PRIMARY KEY ( `id` ) ) ENGINE = INNODB DEFAULT CHARSET = utf8mb4;
CREATE DATABASE IF NOT EXISTS `db1`;USE `db1`;DROP TABLE IF EXISTS `book_0`;CREATE TABLE `book_0` ( `id` INT ( 11 ) NOT NULL, `name` VARCHAR ( 255 ) DEFAULT NULL, `count` INT ( 11 ) DEFAULT NULL, PRIMARY KEY ( `id` ) ) ENGINE = INNODB DEFAULT CHARSET = utf8mb4;DROP TABLE IF EXISTS `book_1`;CREATE TABLE `book_1` ( `id` INT ( 11 ) NOT NULL, `name` VARCHAR ( 255 ) DEFAULT NULL, `count` INT ( 11 ) DEFAULT NULL, PRIMARY KEY ( `id` ) ) ENGINE = INNODB DEFAULT CHARSET = utf8mb4;
CREATE DATABASE IF NOT EXISTS `db2`;USE `db2`;DROP TABLE IF EXISTS `book_0`;CREATE TABLE `book_0` ( `id` INT ( 11 ) NOT NULL, `name` VARCHAR ( 255 ) DEFAULT NULL, `count` INT ( 11 ) DEFAULT NULL, PRIMARY KEY ( `id` ) ) ENGINE = INNODB DEFAULT CHARSET = utf8mb4;DROP TABLE IF EXISTS `book_1`;CREATE TABLE `book_1` ( `id` INT ( 11 ) NOT NULL, `name` VARCHAR ( 255 ) DEFAULT NULL, `count` INT ( 11 ) DEFAULT NULL, PRIMARY KEY ( `id` ) ) ENGINE = INNODB DEFAULT CHARSET = utf8mb4;

配置分库分表策略application.properties:

# 数据源 db0,db1,db2sharding.jdbc.datasource.names=db0,db1,db2# 第一个数据库sharding.jdbc.datasource.db0.type=com.zaxxer.hikari.HikariDataSourcesharding.jdbc.datasource.db0.driver-class-name=com.mysql.cj.jdbc.Driversharding.jdbc.datasource.db0.jdbc-url=jdbc:mysql://localhost:3306/db0?useUnicode=true&useJDBCCompliantTimezoneShift=true&useLegacyDatetimeCode=false&serverTimezone=UTCsharding.jdbc.datasource.db0.username=rootsharding.jdbc.datasource.db0.password=Aa123456
# 第二个数据库sharding.jdbc.datasource.db1.type=com.zaxxer.hikari.HikariDataSourcesharding.jdbc.datasource.db1.driver-class-name=com.mysql.cj.jdbc.Driversharding.jdbc.datasource.db1.jdbc-url=jdbc:mysql://localhost:3306/db1?useUnicode=true&useJDBCCompliantTimezoneShift=true&useLegacyDatetimeCode=false&serverTimezone=UTCsharding.jdbc.datasource.db1.username=rootsharding.jdbc.datasource.db1.password=Aa123456
# 第三个数据库sharding.jdbc.datasource.db2.type=com.zaxxer.hikari.HikariDataSourcesharding.jdbc.datasource.db2.driver-class-name=com.mysql.cj.jdbc.Driversharding.jdbc.datasource.db2.jdbc-url=jdbc:mysql://localhost:3306/db2?useUnicode=true&useJDBCCompliantTimezoneShift=true&useLegacyDatetimeCode=false&serverTimezone=UTCsharding.jdbc.datasource.db2.username=rootsharding.jdbc.datasource.db2.password=Aa123456
# 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sharding.jdbc.config.sharding.default-database-strategy.inline.sharding-column=idsharding.jdbc.config.sharding.default-database-strategy.inline.algorithm-expression=db$->{id % 3}
# 分表策略 其中book为逻辑表 分表主要取决于id行sharding.jdbc.config.sharding.tables.book.actual-data-nodes=db$->{0..2}.book_$->{0..2}sharding.jdbc.config.sharding.tables.book.table-strategy.inline.sharding-column=count# 分片算法表达式sharding.jdbc.config.sharding.tables.book.table-strategy.inline.algorithm-expression=book_$->{count % 3}
# 主键 UUID 18位数 如果是分布式还要进行一个设置 防止主键重复#sharding.jdbc.config.sharding.tables.user.key-generator-column-name=id
# 打印执行的数据库以及语句sharding.jdbc.config.props..sql.show=truespring.main.allow-bean-definition-overriding=true
#读写分离sharding.jdbc.datasource.dsmaster =

接口测试使用postman

示例:GET请求------>http://localhost:8080/book POST请求:------->http://localhost:8080/book?id=1&name=java编程思想&count=8

demo的github地址:

https://github.com/Macky-He/spring-boot--shardingsphere-examples 如各位觉得有帮助的话,还请给个star鼓励鼓励博主,谢谢!

三、总结

分库分表实现按照官方文档做一个demo是第一步,如需深入还需要研究源码,研究架构,研究思想;此文仅作为入门demo搭建指南,如需深入理解,还请移步至官方文档。

参考资料

  • 官方文档:https://shardingsphere.apache.org/document/current/cn/manual/sharding-jdbc/usage/sharding/
4bf10adc5ab7877fb1f5aa52e0cd637d.webp

最后免费给大家分享50个Java项目实战资料,涵盖入门、进阶各个阶段学习内容,可以说非常全面了。大部分视频还附带源码,学起来还不费劲!


附上截图。(下面有下载方式)。

4c95b8a9f1b9f2e12e235bd9865cd0c9.webp

7ce56ce1529586aa75183641f6163440.webp

84c873ad71038c2e3c6c4ecccce2cbe7.webp

af4d5bf603f2e4448144f9cf1ce02d1b.webp

998cd21a06c924ef7aef5d356ff027b9.webp


项目领取方式:

扫描下方公众号回复:50

可获取下载链接

???

?长按上方二维码 2 秒回复「50」即可获取资料

点赞是最大的支持 041eae83011944bd9f4580031715878f.webp

浏览 29
点赞
评论
收藏
分享

手机扫一扫分享

分享
举报
评论
图片
表情
推荐
点赞
评论
收藏
分享

手机扫一扫分享

分享
举报