Java猿社区—ShardingSphere-4.0.1之实现读写分离

Java猿社区—ShardingSphere-4.0.1之实现读写分离

文章目录

    • Java猿社区—ShardingSphere-4.0.1之实现读写分离
      • 技术体系
      • 背景
      • ShardingSphere介绍
      • 注意事项
      • ShardingShpere支持的功能
        • 数据分片
        • 分布式事务
      • 技术准备
        • mysql安装配置
        • POM配置
      • 读写分离——一主双从
        • mysql配置环境
        • sql脚本
        • 配置读写分离
          • application.properties
          • MasterProp
          • Slave0Prop
          • Slave1Prop
          • DataSourceConfig
        • 验证
          • 添加数据——写入主库
          • 查询数据——从库查询
      • 问题记录

参考:
基于Docker的Mysql主从复制搭建
ShardingSphere官网

技术体系

Springboot2.1.5 + shardingsphere4.0.1 + Mysql5.7 + mysql-connector-java5.1.47

背景

目前公司正在进行的在线客服IM项目,考虑未来会话消息请求流量剧增以及消息存储带来的挑战,单一数据库无法支撑,需要分库&分表、读写分离以应对高并发带来的挑战。
基于市面上较为流行的几个数据库中间件我们结合公司技术体系,再三考虑,决定使用ShardingSphere作为在线客服项目的数据库中间件。

ShardingSphere介绍

Apache ShardingSphere(Incubator) 是一套开源的分布式数据库中间件解决方案组成的生态圈,它由Sharding-JDBC、Sharding-Proxy和Sharding-Sidecar(规划中)这3款相互独立,却又能够混合部署配合使用的产品组成。它们均提供标准化的数据分片、分布式事务和数据库治理功能,可适用于如Java同构、异构语言、云原生等各种多样化的应用场景。(来自官网)

注意事项

从ShardingSphere推出4.0.0-RC2版本之后,通过属性文件application.properties配置集成是会有问题的:

  1. springboot2.1.5 + mysql-connector-java5.x + shardingsphere-4.0.0-RC1 + mybatis-spring-boot-starter2.0.1版本后功能正常
  2. springboot2.1.5 + mysql-connector-java5.x + shardingsphere-4.0.0-RC2或3或4.0.1 + mybatis-spring-boot-starter2.0.1的时候,第一先报错required a bean of type ‘com.zzx.sharding.mapper.TeamMessageMapper’ that could not be found.,然后再启动类上添加@MapperScan注解后,报错Caused by: java.lang.IllegalArgumentException: Property ‘sqlSessionFactory’ or ‘sqlSessionTemplate’ are required

这是shardsphere4.0.0-RC2发布之后的一个bug,具体是数据源没有成功注入。
下面通过手动注入数据源的方式解决此问题。

ShardingShpere支持的功能

数据分片

  • 分库、分表
  • 读写分离
  • 分片策略定制化
  • 无中心化分布式主键

分布式事务

  • 标准化事务接口
  • XA强一致事务
  • 柔性事务

技术准备

mysql安装配置

具体安装配置请参见网络博客:如基于Docker的Mysql主从复制搭建

POM配置


<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>4.0.0modelVersion>

    <groupId>com.zzx.shardingspheregroupId>
    <artifactId>zzx-shardingsphereartifactId>
    <packaging>pompackaging>
    <version>1.0-SNAPSHOTversion>

    <modules>
        <module>db-read-writemodule>
        <module>db-table-read-writemodule>
    modules>

    <parent>
        <groupId>org.springframework.bootgroupId>
        <artifactId>spring-boot-starter-parentartifactId>
        <version>2.1.5.RELEASEversion>
        <relativePath/>
    parent>

    <properties>
        <java.version>1.8java.version>
        <mybatis-spring-boot>2.0.1mybatis-spring-boot>
        <druid>1.1.16druid>
        <project.build.sourceEncoding>UTF-8project.build.sourceEncoding>
        <shardingsphere.version>4.0.1shardingsphere.version>
        <fastjson.version>1.2.38fastjson.version>
        <mysql-connector-java.version>5.1.47mysql-connector-java.version>
    properties>

    <dependencies>
        <dependency>
            <groupId>org.springframework.bootgroupId>
            <artifactId>spring-boot-starter-webartifactId>
        dependency>
        <dependency>
            <groupId>org.mybatis.spring.bootgroupId>
            <artifactId>mybatis-spring-boot-starterartifactId>
            <version>${mybatis-spring-boot}version>
        dependency>
        
        <dependency>
            <groupId>mysqlgroupId>
            <artifactId>mysql-connector-javaartifactId>
            <version>${mysql-connector-java.version}version>
        dependency>
        
        <dependency>
            <groupId>com.alibabagroupId>
            <artifactId>druid-spring-boot-starterartifactId>
            <version>${druid}version>
        dependency>
        
        <dependency>
            <groupId>org.apache.shardingspheregroupId>
            <artifactId>sharding-jdbc-spring-boot-starterartifactId>
            <version>${shardingsphere.version}version>
        dependency>

        <dependency>
            <groupId>org.apache.shardingspheregroupId>
            <artifactId>sharding-jdbc-spring-namespaceartifactId>
            <version>${shardingsphere.version}version>
        dependency>
        
        <dependency>
            <groupId>org.projectlombokgroupId>
            <artifactId>lombokartifactId>
        dependency>

        <dependency>
            <groupId>com.alibabagroupId>
            <artifactId>fastjsonartifactId>
            <version>${fastjson.version}version>
        dependency>
    dependencies>

    <build>
        <plugins>
            <plugin>
                <groupId>org.springframework.bootgroupId>
                <artifactId>spring-boot-maven-pluginartifactId>
            plugin>
        plugins>
    build>

project>

读写分离——一主双从

mysql配置环境

主库: localhost:3339/im_bis
从库0: localhost:3340/im_bis
从库1: localhost:3341/im_bis

配置从库0和从库1作为主库的从库,具体配置参考上面提到的基于Docker搭建主从复制网站

sql脚本


DROP SCHEMA IF EXISTS im_bis;
CREATE SCHEMA IF NOT EXISTS im_bis;
use im_bis;

/*
 Navicat Premium Data Transfer

 Source Server         : 192.168.89.53
 Source Server Type    : MySQL
 Source Server Version : 50726
 Source Host           : 192.168.89.53:3306
 Source Schema         : ddky_im_bis

 Target Server Type    : MySQL
 Target Server Version : 50726
 File Encoding         : 65001

 Date: 08/03/2020 13:18:39
*/

SET NAMES utf8mb4;
SET FOREIGN_KEY_CHECKS = 0;

-- ----------------------------
-- Table structure for im_team_message
-- ----------------------------
DROP TABLE IF EXISTS `im_team_message`;
CREATE TABLE `im_team_message` (
  `id` bigint(20) NOT NULL COMMENT '主键id',
  `team_msg_id` bigint(20) DEFAULT NULL COMMENT '群消息id(服务端生成消息id)',
  `team_client_msg_id` varchar(32) DEFAULT '' COMMENT '群消息id(客户端生成)',
  `team_id` varchar(32) DEFAULT '' COMMENT '群组id(对应群组的accid)',
  `msg_type` varchar(15) DEFAULT 'TEXT' COMMENT '消息类型:TEXT-文本,PICTURE-图片,AUDIO-音频,VIDEO-视频,FILE-文件,GEO-地理位置,CUSTOM-自定义,TIP-提醒,ROBOT-AI机器人,NOTICATION-群通知,TEAM_INVITE-邀请入群,TEAM_INVITE_REJECT-拒绝邀请,CUSTOM_TEAM_MSG -群组自定义系统通知',
  `event_type` tinyint(4) DEFAULT '1' COMMENT '事件类型:1-会话类型消息(p2p消息、群聊消息、自定义系统通知、云信内置系统通知),2-登录事件,3-登出/离线事件,4-聊天室聊天消息,5-音视频时长、白板时长消息,6-音视频白板大小、下载地址消息,7-单聊消息撤回,8-群聊消息撤回,9-汇报主播、管理员进出聊天室事件消息,10-汇报专线电话通话结束回调抄送的消息,11-汇报短信回执抄送的消息,12-汇报短信上行消息,13-汇报用户进出音视频/白板房间的消息,14-汇报聊天室队列操作的事件消息,20-易盾异步反垃圾结果信息',
  `remind_type` tinyint(4) DEFAULT '0' COMMENT '提醒类型:0-普通消息,1-客服进入,2-客户进入,3-客服进入欢迎提醒,4-敏感词命中提醒消息',
  `conv_type` varchar(20) DEFAULT '' COMMENT '场景类型:TEAM',
  `scene` tinyint(4) DEFAULT '0' COMMENT '场景:0-team,1-p2p,2-superTeam',
  `text` varchar(5000) DEFAULT '' COMMENT '内容',
  `attach` varchar(5000) DEFAULT '' COMMENT '附加消息',
  `team_attach_type` tinyint(4) DEFAULT NULL COMMENT '群通知类型:默认null(普通消息),0-更新群,1-拉人入群,2-踢人出群,3-接受入群邀请,4-通过入群邀请,5-添加群管理员,6-移除群管理员,7-主动退群,8-解散群,9-转让群,10-更新群成员禁言状态',
  `send_type` tinyint(4) DEFAULT '0' COMMENT '发送人类型:0-用户,1-客服,2-药师,3-医生',
  `send_client_ip` varchar(20) DEFAULT '' COMMENT '发送端ip',
  `send_client_port` varchar(5) DEFAULT '' COMMENT '发送端端口',
  `send_client_type` varchar(10) DEFAULT '' COMMENT '发送客户端类型: AOS、IOS、PC、WINPHONE、WEB、REST',
  `send_device_id` varchar(32) DEFAULT '' COMMENT '发送端设备编号',
  `send_nick` varchar(50) DEFAULT '' COMMENT '发送人昵称',
  `send_id` varchar(32) DEFAULT '' COMMENT '发送人id(对应客服表和用户表的accid)',
  `send_at` bigint(11) DEFAULT NULL COMMENT '发送时间',
  `msg_receipt_time` bigint(11) DEFAULT NULL COMMENT '已读回执时间戳,如果有此字段, 说明此时间戳之前的所有消息对方均已读',
  `is_revoke` tinyint(4) DEFAULT '0' COMMENT '是否撤销:0-否,1-是',
  `revoke_at` bigint(11) DEFAULT '0' COMMENT '撤销时间',
  `custom_apns_text` varchar(200) DEFAULT '' COMMENT '自定义系统通知消息推送文本。仅在convType为CUSTOM_PERSON或CUSTOM_TEAM时含此字段',
  `ext` varchar(64) DEFAULT '' COMMENT '消息扩展字段',
  `antispam` varchar(12) DEFAULT '' COMMENT '标识是否被反垃圾(‘’,true,false)',
  `yidun_res` varchar(500) DEFAULT '' COMMENT '易盾反垃圾的原始处理细节',
  `msg_status` tinyint(4) DEFAULT '0' COMMENT '消息发送状态:0-发送成功,1-发送中,2-发送失败',
  `status` tinyint(4) DEFAULT '0' COMMENT '状态:有效 0:无效',
  PRIMARY KEY (`id`),
  UNIQUE KEY `index_tt` (`id`,`team_msg_id`,`team_client_msg_id`) USING BTREE,
  KEY `index_team_id_on_im_team_message` (`team_id`),
  KEY `index_send_at_on_im_team_message` (`send_at`)
) ENGINE=InnoDB AUTO_INCREMENT=2104820 DEFAULT CHARSET=utf8mb4 COMMENT='IM消息表';

SET FOREIGN_KEY_CHECKS = 1;

配置读写分离

application.properties
server.port=8888

spring.main.allow-bean-definition-overriding=true

# ---------------------------------
#   mybatis
# ---------------------------------
mybatis.type-aliases-package=com.zzx.sharding.entity
#mybatis.type-handlers-package=com.example.typehandler
mybatis.configuration.map-underscore-to-camel-case=true
mybatis.configuration.default-fetch-size=100
mybatis.configuration.default-statement-timeout=3000
mybatis.mapper-locations=classpath*:mapper/*.xml

# --------------------------------
#   druid
# ---------------------------------
spring.datasource.type=com.alibaba.druid.pool.DruidDataSource
spring.datasource.druid.driver-class-name=com.mysql.cj.jdbc.Driver
spring.datasource.druid.filters=stat,wall,log4j2
spring.datasource.druid.max-active=50
spring.datasource.druid.initial-size=2
spring.datasource.druid.max-wait=60000
spring.datasource.druid.min-idle=2
spring.datasource.druid.keep-alive=true
spring.datasource.druid.time-between-eviction-runs-millis=60000
spring.datasource.druid.min-evictable-idle-time-millis=300000
spring.datasource.druid.validation-query=select 'x'
spring.datasource.druid.test-while-idle=true
spring.datasource.druid.test-on-borrow=false
spring.datasource.druid.test-on-return=false
spring.datasource.druid.pool-prepared-statements=true
spring.datasource.druid.max-open-prepared-statements=20
spring.datasource.druid.connection-properties=druid.stat.mergeSql=true;druid.stat.slowSqlMillis=5000;
spring.datasource.druid.use-global-data-source-stat=true
spring.datasource.druid.web-stat-filter.enabled=true
spring.datasource.druid.web-stat-filter.url-pattern=/*
spring.datasource.druid.web-stat-filter.exclusions='*.gif,*.png,*.jpg,*.html,*.js,*.css,*.ico,/druid/*'
spring.datasource.druid.stat-view-servlet.enabled=true
spring.datasource.druid.stat-view-servlet.url-pattern=/druid/*
spring.datasource.druid.stat-view-servlet.reset-enable=true
spring.datasource.druid.stat-view-servlet.login-username=admin
spring.datasource.druid.stat-view-servlet.login-password=admin

# 配置日志输出
spring.datasource.druid.filter.log4j2.enabled=true
spring.datasource.druid.filter.log4j2.statement-create-after-log-enabled=false
spring.datasource.druid.filter.log4j2.statement-close-after-log-enabled=false
spring.datasource.druid.filter.log4j2.result-set-open-after-log-enabled=false
spring.datasource.druid.filter.log4j2.result-set-close-after-log-enabled=false

# --------------------------------
#   ShardingSphere
# ---------------------------------
spring.shardingsphere.datasource.names=master,slave0,slave1
# 数据源 主库
spring.shardingsphere.datasource.master.type=com.alibaba.druid.pool.DruidDataSource
spring.shardingsphere.datasource.master.driver-class-name=com.mysql.jdbc.Driver
spring.shardingsphere.datasource.master.url=jdbc:mysql://localhost:3339/im_bis?useUnicode=true&characterEncoding=utf-8&allowMultiQueries=true&useSSL=false&serverTimezone=GMT%2B8&autoReconnect=true&rewriteBatchedStatements=true
spring.shardingsphere.datasource.master.username=root
spring.shardingsphere.datasource.master.password=123456

# 数据源 从库
spring.shardingsphere.datasource.slave0.type=com.alibaba.druid.pool.DruidDataSource
spring.shardingsphere.datasource.slave0.driver-class-name=com.mysql.jdbc.Driver
spring.shardingsphere.datasource.slave0.url=jdbc:mysql://localhost:3340/im_bis?useUnicode=true&characterEncoding=utf-8&allowMultiQueries=true&useSSL=false&serverTimezone=GMT%2B8&autoReconnect=true&rewriteBatchedStatements=true
spring.shardingsphere.datasource.slave0.username=root
spring.shardingsphere.datasource.slave0.password=123456

# 数据源 从库
spring.shardingsphere.datasource.slave1.type=com.alibaba.druid.pool.DruidDataSource
spring.shardingsphere.datasource.slave1.driver-class-name=com.mysql.jdbc.Driver
spring.shardingsphere.datasource.slave1.url=jdbc:mysql://localhost:3341/im_bis?useUnicode=true&characterEncoding=utf-8&allowMultiQueries=true&useSSL=false&serverTimezone=GMT%2B8&autoReconnect=true&rewriteBatchedStatements=true
spring.shardingsphere.datasource.slave1.username=root
spring.shardingsphere.datasource.slave1.password=123456

MasterProp
package com.zzx.sharding.config;

import lombok.Data;
import org.springframework.boot.context.properties.ConfigurationProperties;

/**
 * @author zhouzhixiang
 * @company 叮当快药科技集团有限公司
 * @Date 2020-03-15
 */
@ConfigurationProperties(prefix = "spring.shardingsphere.datasource.master")
@Data
public class MasterProp {
    private String url;
    private String username;
    private String password;
    private String type;
    private String driverClassName;
}

Slave0Prop
package com.zzx.sharding.config;

import lombok.Data;
import org.springframework.boot.context.properties.ConfigurationProperties;

/**
 * @author zhouzhixiang
 * @company 叮当快药科技集团有限公司
 * @Date 2020-03-15
 */
@ConfigurationProperties(prefix = "spring.shardingsphere.datasource.slave0")
@Data
public class Slave0Prop {
    private String url;
    private String username;
    private String password;
    private String type;
    private String driverClassName;
}

Slave1Prop
package com.zzx.sharding.config;

import lombok.Data;
import org.springframework.boot.context.properties.ConfigurationProperties;

/**
 * @author zhouzhixiang
 * @company 叮当快药科技集团有限公司
 * @Date 2020-03-15
 */
@ConfigurationProperties(prefix = "spring.shardingsphere.datasource.slave1")
@Data
public class Slave1Prop {
    private String url;
    private String username;
    private String password;
    private String type;
    private String driverClassName;
}

DataSourceConfig
package com.zzx.sharding.config;


import com.alibaba.druid.pool.DruidDataSource;
import com.zzx.sharding.utils.DataSourceUtil;
import lombok.extern.slf4j.Slf4j;
import org.apache.ibatis.session.SqlSessionFactory;
import org.apache.shardingsphere.api.config.masterslave.LoadBalanceStrategyConfiguration;
import org.apache.shardingsphere.api.config.masterslave.MasterSlaveRuleConfiguration;
import org.apache.shardingsphere.api.config.sharding.KeyGeneratorConfiguration;
import org.apache.shardingsphere.api.config.sharding.ShardingRuleConfiguration;
import org.apache.shardingsphere.api.config.sharding.TableRuleConfiguration;
import org.apache.shardingsphere.shardingjdbc.api.ShardingDataSourceFactory;
import org.mybatis.spring.SqlSessionFactoryBean;
import org.mybatis.spring.SqlSessionTemplate;
import org.mybatis.spring.annotation.MapperScan;
import org.springframework.beans.factory.annotation.Qualifier;
import org.springframework.boot.context.properties.EnableConfigurationProperties;
import org.springframework.context.annotation.Bean;
import org.springframework.context.annotation.Configuration;
import org.springframework.context.annotation.Primary;
import org.springframework.core.io.support.PathMatchingResourcePatternResolver;
import org.springframework.jdbc.datasource.DataSourceTransactionManager;
import org.springframework.transaction.annotation.EnableTransactionManagement;

import javax.sql.DataSource;
import java.sql.SQLException;
import java.util.*;

/**
 * @author zhouzhixiang
 */
@Configuration
@EnableTransactionManagement(proxyTargetClass = true)
@EnableConfigurationProperties({MasterProp.class, Slave0Prop.class, Slave1Prop.class})
@Slf4j
@MapperScan(basePackages = "com.zzx.sharding.mapper", sqlSessionTemplateRef = "sqlSessionTemplate")
public class DataSourceConfig {

    /**
     * 配置数据源0,数据源的名称最好要有一定的规则,方便配置分库的计算规则
     *
     * @return
     */
    @Bean(name = "master")
    public DataSource master(MasterProp masterProp) {
        Map<String, Object> dsMap = new HashMap<>();
        dsMap.put("type", masterProp.getType());
        dsMap.put("url", masterProp.getUrl());
        dsMap.put("username", masterProp.getUsername());
        dsMap.put("password", masterProp.getPassword());
        dsMap.put("driverClassName", masterProp.getDriverClassName());
        DruidDataSource ds = (DruidDataSource) DataSourceUtil.buildDataSource(dsMap);
        // 每个分区最大的连接数
        ds.setMaxActive(20);
        // 每个分区最小的连接数
        ds.setMinIdle(5);
        return ds;
    }


    /**
     * 配置数据源0,数据源的名称最好要有一定的规则,方便配置分库的计算规则
     *
     * @return
     */
    @Bean(name = "slave0")
    public DataSource slave0(Slave0Prop slave0Prop) {
        Map<String, Object> dsMap = new HashMap<>();
        dsMap.put("type", slave0Prop.getType());
        dsMap.put("url", slave0Prop.getUrl());
        dsMap.put("username", slave0Prop.getUsername());
        dsMap.put("password", slave0Prop.getPassword());
        dsMap.put("driverClassName", slave0Prop.getDriverClassName());

        DruidDataSource ds = (DruidDataSource) DataSourceUtil.buildDataSource(dsMap);
        // 每个分区最大的连接数
        ds.setMaxActive(20);
        // 每个分区最小的连接数
        ds.setMinIdle(5);
        return  ds;
    }

    /**
     * 配置数据源0,数据源的名称最好要有一定的规则,方便配置分库的计算规则
     *
     * @return
     */
    @Bean(name = "slave1")
    public DataSource slave1(Slave1Prop slave1Prop) {
        Map<String, Object> dsMap = new HashMap<>();
        dsMap.put("type", slave1Prop.getType());
        dsMap.put("url", slave1Prop.getUrl());
        dsMap.put("username", slave1Prop.getUsername());
        dsMap.put("password", slave1Prop.getPassword());
        dsMap.put("driverClassName", slave1Prop.getDriverClassName());

        DruidDataSource ds = (DruidDataSource) DataSourceUtil.buildDataSource(dsMap);
        // 每个分区最大的连接数
        ds.setMaxActive(20);
        // 每个分区最小的连接数
        ds.setMinIdle(5);
        return  ds;
    }

    @Bean("dataSource")
    public DataSource dataSource(@Qualifier("master") DataSource master, @Qualifier("slave0") DataSource slave0, @Qualifier("slave1") DataSource slave1) throws SQLException {

        // 配置真实数据源
        Map<String, DataSource> dataSourceMap = new HashMap<>();
        dataSourceMap.put("master", master);
        dataSourceMap.put("slave0", slave0);
        dataSourceMap.put("slave1", slave1);

        List<String> slaveList = new ArrayList<>();
        slaveList.add("slave0");
        slaveList.add("slave1");

        // 从库负载策略
        LoadBalanceStrategyConfiguration loadBalanceStrategyConfiguration = new LoadBalanceStrategyConfiguration("round_robin");
        MasterSlaveRuleConfiguration masterSlaveRuleConfiguration = new MasterSlaveRuleConfiguration("ms", "master", slaveList, loadBalanceStrategyConfiguration);

        // 打开shardingsphere sql日志
        Properties properties = new Properties();
        properties.setProperty("sql.show", Boolean.TRUE.toString());

        // 配置分片规则
        ShardingRuleConfiguration shardingRuleConfig = new ShardingRuleConfiguration();

        //TableRuleConfiguration orderTableRuleConfig = new TableRuleConfiguration("t_order", "ds${0..1}.t_order_${0..1}");
        // 配置分库 + 分表策略
        //orderTableRuleConfig.setDatabaseShardingStrategyConfig(new InlineShardingStrategyConfiguration("user_id", "ds${user_id % 2}"));
        //orderTableRuleConfig.setTableShardingStrategyConfig(new InlineShardingStrategyConfiguration("order_id", "t_order_${order_id % 2}"));
        //shardingRuleConfig.getTableRuleConfigs().add(orderTableRuleConfig);

        shardingRuleConfig.getMasterSlaveRuleConfigs().add(masterSlaveRuleConfiguration);
        shardingRuleConfig.getTableRuleConfigs().add(getImTeamMessageRuleConfiguration());
        // 获取数据源对象
        DataSource dataSource = ShardingDataSourceFactory.createDataSource(dataSourceMap, shardingRuleConfig, properties);
        return dataSource;
    }

    /** 消息表——im_team_message */
    TableRuleConfiguration getImTeamMessageRuleConfiguration() {
        TableRuleConfiguration result = new TableRuleConfiguration("im_team_message");
        result.setKeyGeneratorConfig(getImTeamMessageKeyGeneratorConfiguration());
        return result;
    }
    private static KeyGeneratorConfiguration getImTeamMessageKeyGeneratorConfiguration() {
        KeyGeneratorConfiguration result = new KeyGeneratorConfiguration("SNOWFLAKE", "id");
        return result;
    }
    /** 消息表——im_team_message */

    @Bean
    public DataSourceTransactionManager shardTransactionManager(@Qualifier("dataSource") DataSource dataSource) {
        return new DataSourceTransactionManager(dataSource);
    }

    @Bean("sqlSessionFactory")
    @Primary
    public SqlSessionFactory sqlSessionFactory(@Qualifier("dataSource") DataSource dataSource) throws Exception {
        SqlSessionFactoryBean bean = new SqlSessionFactoryBean();
        bean.setDataSource(dataSource);
        bean.setMapperLocations(new PathMatchingResourcePatternResolver().getResources("classpath*:mapper/*.xml"));
        return bean.getObject();
    }

    @Bean("sqlSessionTemplate")
    @Primary
    public SqlSessionTemplate sqlSessionTemplate(@Qualifier("sqlSessionFactory") SqlSessionFactory sqlSessionFactory) throws Exception {
        return new SqlSessionTemplate(sqlSessionFactory);


    }
}

验证

添加数据——写入主库

postman执行: localhost:8888/teamMessage/batchAdd

代码

@PostMapping("batchAdd")
public ServiceResponse batchAdd(HttpServletRequest request, HttpServletResponse response) throws IOException {
    ServiceResponse result = new ServiceResponse<>();
    for (int i = 0; i < 20; i++) {
        TeamMessage vo = new TeamMessage();
        vo.setSendAt(new Date().getTime());
        vo.setTeamId(1000);
        vo.setTeamClientMsgId(UUID.randomUUID().toString());
        vo.setTeamMsgId(SnowIdUtils.uniqueLong());
        vo.setId(SnowIdUtils.uniqueLong());
        vo.setText("消息内容-"+UUID.randomUUID());
        this.teamMessageServiceApi.insert(vo);
    }
    result.setCode(ResponseEnum.SUCCESS.getCode());
    result.setMsg(ResponseEnum.SUCCESS.getName());
    return result;
}

shardingsphere日志

2020-03-11 11:19:24.865  INFO 39211 --- [nio-8888-exec-2] ShardingSphere-SQL                       : Rule Type: master-slave
2020-03-11 11:19:24.865  INFO 39211 --- [nio-8888-exec-2] ShardingSphere-SQL                       : SQL: INSERT IGNORE INTO

INSERT IGNORE INTO im_team_message ( id, team_msg_id, team_client_msg_id, remind_type, scene, text, team_attach_type, send_type, team_id, send_at, is_revoke, msg_status, STATUS )
VALUES
	( ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ? ) ::: DataSources: master

写入主库成功
Java猿社区—ShardingSphere-4.0.1之实现读写分离_第1张图片

查询数据——从库查询

查询所有数据
Java猿社区—ShardingSphere-4.0.1之实现读写分离_第2张图片

从库负载均衡算法类型为轮询
控制台sql日志(从从库0查询数据):

SELECT
	id,
	team_msg_id,
	team_client_msg_id,
	msg_type,
	remind_type,
	conv_type,
	scene,
	text,
	team_attach_type,
	send_type,
	send_client_ip,
	send_client_port,
	send_client_type,
	send_device_id,
	send_nick,
	team_id,
	send_id,
	send_at,
	msg_receipt_time,
	is_revoke,
	revoke_at,
	msg_status,
	event_type,
	STATUS,
	attach,
	custom_apns_text,
	ext,
	antispam,
	yidun_res 
FROM
	im_team_message 
WHERE
	STATUS = 0 			
	::: DataSources: slave0

控制台sql日志(从从库1查询数据):

SELECT
	id,
	team_msg_id,
	team_client_msg_id,
	msg_type,
	remind_type,
	conv_type,
	scene,
	text,
	team_attach_type,
	send_type,
	send_client_ip,
	send_client_port,
	send_client_type,
	send_device_id,
	send_nick,
	team_id,
	send_id,
	send_at,
	msg_receipt_time,
	is_revoke,
	revoke_at,
	msg_status,
	event_type,
	STATUS,
	attach,
	custom_apns_text,
	ext,
	antispam,
	yidun_res 
FROM
	im_team_message 
WHERE
	STATUS = 0 			
	::: DataSources: slave1

成功!

问题记录

springboot2.1.5默认使用mysql-connECTOR-java8.x的版本,这个版本的驱动使用shardingsphere时会有bug,推荐使用mysql-connector-java5.1.47版本

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Java猿社区—ShardingSphere-4.0.1之实现读写分离_第3张图片

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