SpringBoot使用Sharding-JDBC + Mybatis-Plus 如何实现分库分表功能

发布时间：2020-11-06 17:09:14 来源：亿速云阅读：1641 作者：Leah 栏目：开发技术

这期内容当中小编将会给大家带来有关SpringBoot使用Sharding-JDBC + Mybatis-Plus 如何实现分库分表功能，文章内容丰富且以专业的角度为大家分析和叙述，阅读完这篇文章希望大家可以有所收获。

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。

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：

SpringBoot使用Sharding-JDBC + Mybatis-Plus 如何实现分库分表功能

POM.xml文件如下：

<&#63;xml version="1.0" encoding="UTF-8"&#63;>
<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 http://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>2.1.6.RELEASE</version>
    <relativePath/> <!-- lookup parent from repository -->
  </parent>
  <groupId>com.macky</groupId>
  <artifactId>spring-boot-shardingjdbc</artifactId>
  <version>0.0.1-SNAPSHOT</version>
  <name>spring-boot-shardingjdbc</name>
  <description>Demo project for spring-boot-shardingjdbc</description>
 
  <properties>
    <java.version>1.8</java.version>
  </properties>
 
  <dependencies>
    <dependency>
      <groupId>org.springframework.boot</groupId>
      <artifactId>spring-boot-starter-web</artifactId>
    </dependency>
 
    <dependency>
      <groupId>org.springframework.boot</groupId>
      <artifactId>spring-boot-starter-test</artifactId>
      <scope>test</scope>
    </dependency>
    <!--mysql-->
    <dependency>
      <groupId>mysql</groupId>
      <artifactId>mysql-connector-java</artifactId>
      <scope>runtime</scope>
    </dependency>
    <!--Mybatis-Plus-->
    <dependency>
      <groupId>com.baomidou</groupId>
      <artifactId>mybatis-plus-boot-starter</artifactId>
      <version>3.1.1</version>
    </dependency>
    <!--shardingsphere start-->
    <!-- for spring boot -->
    <dependency>
      <groupId>io.shardingsphere</groupId>
      <artifactId>sharding-jdbc-spring-boot-starter</artifactId>
      <version>3.1.0</version>
    </dependency>
    <!-- for spring namespace -->
    <dependency>
      <groupId>io.shardingsphere</groupId>
      <artifactId>sharding-jdbc-spring-namespace</artifactId>
      <version>3.1.0</version>
    </dependency>
    <!--shardingsphere end-->
    <!--lombok-->
    <dependency>
      <groupId>org.projectlombok</groupId>
      <artifactId>lombok</artifactId>
    </dependency>
  </dependencies>
 
  <build>
    <plugins>
      <plugin>
        <groupId>org.springframework.boot</groupId>
        <artifactId>spring-boot-maven-plugin</artifactId>
      </plugin>
    </plugins>
  </build>
 
</project>

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<Book> {
  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
 */
@RestController
public class BookController {
 
  @Autowired
  BookService bookService;
 
  @RequestMapping(value = "/book", method = RequestMethod.GET)
  public List<Book> 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
 */
@Service
public class BookServiceImpl extends ServiceImpl<BookMapper, Book> implements BookService {
 
  @Override
  public List<Book> getBookList() {
    return baseMapper.selectList(Wrappers.<Book>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<Book> {
}

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：

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# 数据源 db0,db1,db2
sharding.jdbc.datasource.names=db0,db1,db2
# 第一个数据库
sharding.jdbc.datasource.db0.type=com.zaxxer.hikari.HikariDataSource
sharding.jdbc.datasource.db0.driver-class-name=com.mysql.cj.jdbc.Driver
sharding.jdbc.datasource.db0.jdbc-url=jdbc:mysql://localhost:3306/db0&#63;useUnicode=true&useJDBCCompliantTimezoneShift=true&useLegacyDatetimeCode=false&serverTimezone=UTC
sharding.jdbc.datasource.db0.username=root
sharding.jdbc.datasource.db0.password=Aa123456
 
# 第二个数据库
sharding.jdbc.datasource.db1.type=com.zaxxer.hikari.HikariDataSource
sharding.jdbc.datasource.db1.driver-class-name=com.mysql.cj.jdbc.Driver
sharding.jdbc.datasource.db1.jdbc-url=jdbc:mysql://localhost:3306/db1&#63;useUnicode=true&useJDBCCompliantTimezoneShift=true&useLegacyDatetimeCode=false&serverTimezone=UTC
sharding.jdbc.datasource.db1.username=root
sharding.jdbc.datasource.db1.password=Aa123456
 
# 第三个数据库
sharding.jdbc.datasource.db2.type=com.zaxxer.hikari.HikariDataSource
sharding.jdbc.datasource.db2.driver-class-name=com.mysql.cj.jdbc.Driver
sharding.jdbc.datasource.db2.jdbc-url=jdbc:mysql://localhost:3306/db2&#63;useUnicode=true&useJDBCCompliantTimezoneShift=true&useLegacyDatetimeCode=false&serverTimezone=UTC
sharding.jdbc.datasource.db2.username=root
sharding.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=id
sharding.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=true
spring.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

上述就是小编为大家分享的SpringBoot使用Sharding-JDBC + Mybatis-Plus 如何实现分库分表功能了，如果刚好有类似的疑惑，不妨参照上述分析进行理解。如果想知道更多相关知识，欢迎关注亿速云行业资讯频道。

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SpringBoot使用Sharding-JDBC + Mybatis-Plus 如何实现分库分表功能

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