spring boot:shardingsphere多数据源,支持未分表的数据源(shardingjdbc 4.1.1)

一，为什么要给shardingsphere配置多数据源？

1，shardingjdbc默认接管了所有的数据源，

如果我们有多个非分表的库时，则最多只能设置一个为默认数据库，

其他的非分表数据库不能访问

2，shardingjdbc对数据库的访问有一些限制：

 官方站的说明：

https://shardingsphere.apache.org/document/legacy/4.x/document/cn/manual/sharding-jdbc/unsupported-items/

说明：刘宏缔的架构森林是一个专注架构的博客，地址：https://www.cnblogs.com/architectforest

         对应的源码可以访问这里获取： https://github.com/liuhongdi/

说明：作者:刘宏缔 邮箱: 371125307@qq.com

二，演示项目的相关信息

 1,项目地址:

https://github.com/liuhongdi/shardingmulti

2,项目功能说明：

    演示shardingsphere集成了两个分表的库，1个默认库,

    非shardingsphere数据源集成了第4个数据库

3,项目结构；如图:

4,数据库结构：

  

三，配置文件说明

1，pom.xml

        <dependency>
            <groupId>org.springframework.boot</groupId>
            <artifactId>spring-boot-starter-web</artifactId>
            <exclusions>
                <exclusion>
                    <groupId>org.springframework.boot</groupId>
                    <artifactId>spring-boot-starter-logging</artifactId>
                </exclusion>
            </exclusions>
        </dependency>
        <!--sharding jdbc begin-->
        <dependency>
            <groupId>org.apache.shardingsphere</groupId>
            <artifactId>sharding-jdbc-core</artifactId>
            <version>4.1.1</version>
        </dependency>
        <!--sharding jdbc  end-->
        <!--mybatis begin-->
        <dependency>
            <groupId>org.mybatis.spring.boot</groupId>
            <artifactId>mybatis-spring-boot-starter</artifactId>
            <version>2.1.3</version>
        </dependency>
        <!--mybatis end-->
        <!--druid begin-->
        <dependency>
            <groupId>com.alibaba</groupId>
            <artifactId>druid-spring-boot-starter</artifactId>
            <version>1.1.23</version>
        </dependency>
        <dependency>
            <groupId>org.springframework.boot</groupId>
            <artifactId>spring-boot-starter-log4j2</artifactId>
        </dependency>
        <dependency>
            <groupId>com.lmax</groupId>
            <artifactId>disruptor</artifactId>
            <version>3.4.2</version>
        </dependency>
        <!--druid   end-->
        <!--mysql begin-->
        <dependency>
            <groupId>mysql</groupId>
            <artifactId>mysql-connector-java</artifactId>
            <scope>runtime</scope>
        </dependency>
        <!--mysql end-->
        <!--pagehelper begin-->
        <dependency>
            <groupId>com.github.pagehelper</groupId>
            <artifactId>pagehelper-spring-boot-starter</artifactId>
            <version>1.3.0</version>
        </dependency>
        <!--pagehelper end-->
        <!--thymeleaf begin-->
        <dependency>
            <groupId>org.springframework.boot</groupId>
            <artifactId>spring-boot-starter-thymeleaf</artifactId>
        </dependency>
        <!--thymeleaf end-->

2,application.properties

#error
server.error.include-stacktrace=always
#error
logging.level.org.springframework.web=trace
#name
spring.application.name = dynamic

# goodsdb数据源基本配置
spring.datasource.druid.goodsdb.username = root
spring.datasource.druid.goodsdb.password = lhddemo
spring.datasource.druid.goodsdb.driver-class-name = com.mysql.cj.jdbc.Driver
spring.datasource.druid.goodsdb.url = jdbc:mysql://127.0.0.1:3306/store?serverTimezone=UTC
spring.datasource.druid.goodsdb.type = com.alibaba.druid.pool.DruidDataSource
spring.datasource.druid.goodsdb.initialSize = 5
spring.datasource.druid.goodsdb.minIdle = 5
spring.datasource.druid.goodsdb.maxActive = 20
spring.datasource.druid.goodsdb.maxWait = 60000
spring.datasource.druid.goodsdb.timeBetweenEvictionRunsMillis = 60000
spring.datasource.druid.goodsdb.minEvictableIdleTimeMillis = 300000
spring.datasource.druid.goodsdb.validationQuery = SELECT 1 FROM DUAL
spring.datasource.druid.goodsdb.testWhileIdle = true
spring.datasource.druid.goodsdb.testOnBorrow = false
spring.datasource.druid.goodsdb.testOnReturn = false
spring.datasource.druid.goodsdb.poolPreparedStatements = true

#   配置监控统计拦截的filters，去掉后监控界面sql无法统计，'wall'用于防火墙
spring.datasource.druid.maxPoolPreparedStatementPerConnectionSize = 20
spring.datasource.druid.useGlobalDataSourceStat = true
spring.datasource.druid.connectionProperties = druid.stat.mergeSql=true;druid.stat.slowSqlMillis=500

#druid sql firewall monitor
spring.datasource.druid.filter.wall.enabled=true
#druid sql monitor
spring.datasource.druid.filter.stat.enabled=true
spring.datasource.druid.filter.stat.log-slow-sql=true
spring.datasource.druid.filter.stat.slow-sql-millis=10000
spring.datasource.druid.filter.stat.merge-sql=true
#druid uri monitor
spring.datasource.druid.web-stat-filter.enabled=true
spring.datasource.druid.web-stat-filter.url-pattern=/*
spring.datasource.druid.web-stat-filter.exclusions=*.js,*.gif,*.jpg,*.bmp,*.png,*.css,*.ico,/druid/*
#druid session monitor
spring.datasource.druid.web-stat-filter.session-stat-enable=true
spring.datasource.druid.web-stat-filter.profile-enable=true
#druid spring monitor
spring.datasource.druid.aop-patterns=com.druid.*
#monintor,druid login user config
spring.datasource.druid.stat-view-servlet.enabled=true
spring.datasource.druid.stat-view-servlet.login-username=root
spring.datasource.druid.stat-view-servlet.login-password=root
# IP白名单 (没有配置或者为空，则允许所有访问)
spring.datasource.druid.stat-view-servlet.allow = 127.0.0.1,192.168.163.1
# IP黑名单 (存在共同时，deny优先于allow)
spring.datasource.druid.stat-view-servlet.deny = 192.168.10.1
#mybatis
mybatis.mapper-locations=classpath:/mapper/sharding/*Mapper.xml
#mybatis.type-aliases-package=com.example.demo.mapper
mybatis.configuration.log-impl=org.apache.ibatis.logging.stdout.StdOutImpl
#log
logging.config = classpath:log4j2.xml

#shardingsphere第一个分表数据源
spring.datasource.druid.saleorder01.type=com.alibaba.druid.pool.DruidDataSource
spring.datasource.druid.saleorder01.driverClassName=com.mysql.cj.jdbc.Driver
spring.datasource.druid.saleorder01.url=jdbc:mysql://127.0.0.1:3306/saleorder01?characterEncoding=utf-8
spring.datasource.druid.saleorder01.username=root
spring.datasource.druid.saleorder01.password=lhddemo
#shardingsphere第二个分表数据源
spring.datasource.druid.saleorder02.type=com.alibaba.druid.pool.DruidDataSource
spring.datasource.druid.saleorder02.driverClassName=com.mysql.cj.jdbc.Driver
spring.datasource.druid.saleorder02.url=jdbc:mysql://127.0.0.1:3306/saleorder02?characterEncoding=utf-8
spring.datasource.druid.saleorder02.username=root
spring.datasource.druid.saleorder02.password=lhddemo
#shardingsphere第三个数据源，非分表，作为默认库访问
spring.datasource.druid.orderdb.type=com.alibaba.druid.pool.DruidDataSource
spring.datasource.druid.orderdb.driverClassName=com.mysql.cj.jdbc.Driver
spring.datasource.druid.orderdb.url=jdbc:mysql://127.0.0.1:3306/orderdb?characterEncoding=utf-8
spring.datasource.druid.orderdb.username=root
spring.datasource.druid.orderdb.password=lhddemo

3,各数据表的建表语句:

我们创建两个库:saleorder01,saleorder02

然后在各个库内各创建两个数据表:

saleorder01库包括t_order_1,t_order_2

saleorder02库包括t_order_3,t_order_4

建表的sql:

CREATE TABLE `t_order_4` (
 `orderId` bigint(11) unsigned NOT NULL AUTO_INCREMENT COMMENT 'id',
 `goodsName` varchar(250) CHARACTER SET utf8mb4 COLLATE utf8mb4_0900_ai_ci NOT NULL DEFAULT '' COMMENT 'name',
 PRIMARY KEY (`orderId`)
) ENGINE=InnoDB AUTO_INCREMENT=0 DEFAULT CHARSET=utf8mb4 COLLATE=utf8mb4_0900_ai_ci COMMENT='order4'

goodsdb的数据表：

CREATE TABLE `goods` (
 `goodsId` bigint(11) unsigned NOT NULL AUTO_INCREMENT COMMENT 'id',
 `goodsName` varchar(500) CHARACTER SET utf8mb4 COLLATE utf8mb4_0900_ai_ci NOT NULL DEFAULT '' COMMENT 'name',
 `subject` varchar(200) NOT NULL DEFAULT '' COMMENT '标题',
 `price` decimal(15,2) NOT NULL DEFAULT '0.00' COMMENT '价格',
 `stock` int(11) NOT NULL DEFAULT '0' COMMENT 'stock',
 PRIMARY KEY (`goodsId`)
) ENGINE=InnoDB AUTO_INCREMENT=0 DEFAULT CHARSET=utf8mb4 COLLATE=utf8mb4_0900_ai_ci COMMENT='商品表'

插入数据:

INSERT INTO `goods` (`goodsId`, `goodsName`, `subject`, `price`, `stock`) VALUES
(3, '100分电动牙刷', '好用到让你爱上刷牙', '59.00', 96);

orderdb的数据表:

CREATE TABLE `orderinfo` (
 `orderId` bigint(11) unsigned NOT NULL AUTO_INCREMENT COMMENT 'id',
 `orderSn` varchar(100) NOT NULL DEFAULT '' COMMENT '编号',
 `orderTime` timestamp NOT NULL DEFAULT '1971-01-01 00:00:01' COMMENT '下单时间',
 `orderStatus` tinyint(4) NOT NULL DEFAULT '0' COMMENT '状态:0,未支付，1，已支付，2，已发货，3，已退货,4,已过期',
 `userId` int(12) NOT NULL DEFAULT '0' COMMENT '用户id',
 `price` decimal(10,0) NOT NULL DEFAULT '0' COMMENT '价格',
 `addressId` int(12) NOT NULL DEFAULT '0' COMMENT '地址',
 PRIMARY KEY (`orderId`),
 UNIQUE KEY `orderSn` (`orderSn`)
) ENGINE=InnoDB AUTO_INCREMENT=0 DEFAULT CHARSET=utf8mb4 COLLATE=utf8mb4_0900_ai_ci COMMENT='订单表'

插入数据:

INSERT INTO `orderinfo` (`orderId`, `orderSn`, `orderTime`, `orderStatus`, `userId`, `price`, `addressId`) VALUES
(77, '20200814171411660', '2020-08-14 09:14:12', 0, 8, '100', 0);

四，java代码说明：

1, DatabasePreciseShardingAlgorithm.java

@Component
public class DatabasePreciseShardingAlgorithm implements PreciseShardingAlgorithm<Long> {
    @Override
    public String doSharding(Collection<String> availableTargetNames, PreciseShardingValue<Long> shardingValue) {
        Long curValue = shardingValue.getValue();
        String curBase = "";
        if (curValue > 0 && curValue<=200) {
            curBase = "saleorder01";
        } else {
            curBase = "saleorder02";
        }
        return curBase;
    }
}

数据库分库算法

2,OrderTablePreciseShardingAlgorithm.java

@Component
public class OrderTablePreciseShardingAlgorithm implements PreciseShardingAlgorithm<Long> {
    @Override
    public String doSharding(Collection<String> availableTargetNames, PreciseShardingValue<Long> shardingValue) {
        Long curValue = shardingValue.getValue();
        String curTable = "";
        if (curValue > 0 && curValue<=100) {
            curTable = "t_order_1";
        } else if (curValue > 100 && curValue<=200) {
            curTable = "t_order_2";
        } else if (curValue > 200 && curValue<=300) {
            curTable = "t_order_3";
        } else {
            curTable = "t_order_4";
        }
        return curTable;
    }
}

数据库分表算法

3,GoodsdbSourceConfig.java

@Configuration
@MapperScan(basePackages = "com.shardingmulti.demo.mapper.goodsdb", sqlSessionTemplateRef = "goodsdbSqlSessionTemplate")
public class GoodsdbSourceConfig {

    @Bean
    @Primary
    @ConfigurationProperties("spring.datasource.druid.goodsdb")
    public DataSource goodsdbDataSource() {
        return DruidDataSourceBuilder.create().build();
    }

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

    @Bean
    @Primary
    public DataSourceTransactionManager goodsdbTransactionManager(@Qualifier("goodsdbDataSource") DataSource dataSource) {
        return new DataSourceTransactionManager(dataSource);
    }

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

配置goodsdb数据源，

注意因为要使用mybatis,所以指明了mapper文件所在的包，和xml文件所在的路径

因为这个数据源不是由shardingjdbc所管理，所以要注意两个数据源的mapper程序和xml文件要隔离开

分别放在 mapper/goodsdb   和 mapper/sharding 

4,ShardingDataSourceConfig.java

@Configuration
@MapperScan(basePackages = "com.shardingmulti.demo.mapper.sharding", sqlSessionFactoryRef = "shardingSqlSessionFactory")
public class ShardingDataSourceConfig {

    //分表算法
    @Resource
    private OrderTablePreciseShardingAlgorithm orderTablePreciseShardingAlgorithm;

    //分库算法
    @Resource
    private DatabasePreciseShardingAlgorithm databasePreciseShardingAlgorithm;

    //第一个订单库
    @Bean(name = "saleorder01")
    @ConfigurationProperties(prefix = "spring.datasource.druid.saleorder01")
    public DataSource saleorder01(){
        return DruidDataSourceBuilder.create().build();
    }

    //第二个订单库
    @Bean(name = "saleorder02")
    @ConfigurationProperties(prefix = "spring.datasource.druid.saleorder02")
    public DataSource saleorder02(){
        return DruidDataSourceBuilder.create().build();
    }

    //第三个库，订单统计库，做为默认
    @Bean(name = "orderdb")
    @ConfigurationProperties(prefix = "spring.datasource.druid.orderdb")
    public DataSource orderdb(){
        return DruidDataSourceBuilder.create().build();
    }

    //创建数据源，需要把分库的库都传递进去
    @Bean("dataSource")
    public DataSource dataSource(@Qualifier("saleorder01") DataSource saleorder01,
                                 @Qualifier("saleorder02") DataSource saleorder02,
                                 @Qualifier("orderdb") DataSource orderdb) throws SQLException {
        // 配置真实数据源
        Map<String, DataSource> dataSourceMap = new HashMap<String, DataSource>();
        dataSourceMap.put("orderdb", orderdb);
        dataSourceMap.put("saleorder01", saleorder01);
        dataSourceMap.put("saleorder02", saleorder02);
        ShardingRuleConfiguration shardingRuleConfig = new ShardingRuleConfiguration();
        shardingRuleConfig.setDefaultDataSourceName("orderdb");
        //如果有多个数据表需要分表，依次添加到这里
        shardingRuleConfig.getTableRuleConfigs().add(getOrderTableRuleConfiguration());
        Properties p = new Properties();
        p.setProperty("sql.show", Boolean.TRUE.toString());
        // 获取数据源对象
        DataSource dataSource = ShardingDataSourceFactory.createDataSource(dataSourceMap, shardingRuleConfig,p);
        return dataSource;
    }

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

    // 创建事务管理器
    @Bean("shardingTransactionManger")
    public DataSourceTransactionManager shardingTransactionManger(@Qualifier("dataSource") DataSource dataSource) {
        return new DataSourceTransactionManager(dataSource);
    }

    // 创建SqlSessionTemplate
    @Bean(name = "shardingSqlSessionTemplate")
    public SqlSessionTemplate shardingSqlSessionTemplate(@Qualifier("shardingSqlSessionFactory") SqlSessionFactory sqlSessionFactory) {
        return new SqlSessionTemplate(sqlSessionFactory);
    }

    //订单表的分表规则配置
    private TableRuleConfiguration getOrderTableRuleConfiguration() {
        TableRuleConfiguration result = new TableRuleConfiguration("t_order","saleorder01.t_order_$->{1..2},saleorder02.t_order_$->{3..4}");
        result.setDatabaseShardingStrategyConfig(new StandardShardingStrategyConfiguration("orderId",databasePreciseShardingAlgorithm));
        result.setTableShardingStrategyConfig(new StandardShardingStrategyConfiguration("orderId",orderTablePreciseShardingAlgorithm));
        return result;
    }

    //分页
    @Bean(name="pageHelper")
    public PageHelper getPageHelper() {
        PageHelper pageHelper = new PageHelper();
        Properties properties = new Properties();
        properties.setProperty("reasonable", "true");
        properties.setProperty("supportMethodsArguments", "true");
        properties.setProperty("returnPageInfo", "true");
        properties.setProperty("params", "count=countSql");
        pageHelper.setProperties(properties);
        return pageHelper;
    }
}

shardingjdbc的数据源，创建时要使用ShardingDataSourceFactory

它负责连接3个库：两个分表库:saleorder01,saleorder02, 一个非分表库:orderdb

注意shardingjdbc所管理的数据源中，只能有一个非分表的库，而且要设置为默认库，

否则不能正常访问

5,HomeController.java

@Controller
@RequestMapping("/home")
public class HomeController {

    @Resource
    private GoodsMapper goodsMapper;

    @Resource
    private OrderMapper orderMapper;

    @Resource
    private OrderShardingMapper orderShardingMapper;

    //商品详情 参数:商品id
    @GetMapping("/goodsinfo")
    @ResponseBody
    @DS("goodsdb")
    public Goods goodsInfo(@RequestParam(value="goodsid",required = true,defaultValue = "0") Long goodsId) {
        Goods goods = goodsMapper.selectOneGoods(goodsId);
        return goods;
    }

    //订单统计库，参数：订单id
    @GetMapping("/orderinfo")
    @ResponseBody
    public Order orderInfo(@RequestParam(value="orderid",required = true,defaultValue = "0") Long orderId) {
        Order order = orderMapper.selectOneOrder(orderId);
        return order;
    }

    //两个分表库中的订单列表
    @GetMapping("/orderlist")
    public String list(Model model, @RequestParam(value="currentPage",required = false,defaultValue = "1") Integer currentPage){
       PageHelper.startPage(currentPage, 5);
        List<OrderSharding> orderList = orderShardingMapper.selectAllOrder();
        model.addAttribute("orderlist",orderList);
        PageInfo<OrderSharding> pageInfo = new PageInfo<>(orderList);
        model.addAttribute("pageInfo", pageInfo);
        System.out.println("------------------------size:"+orderList.size());
        return "order/list";
    }
}

实现到各个数据源的访问

6,OrderShardingMapper.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.shardingmulti.demo.mapper.sharding.OrderShardingMapper" >
    <select id="selectAllOrder" resultType="com.shardingmulti.demo.pojo.OrderSharding">
        select * from t_order order by orderId desc
    </select>
</mapper>

7,OrderMapper.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.shardingmulti.demo.mapper.sharding.OrderMapper">
    <select id="selectOneOrder" parameterType="long" resultType="com.shardingmulti.demo.pojo.Order">
        select * from orderinfo where orderId=#{orderId}
    </select>
</mapper>

8,GoodsMapper.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.shardingmulti.demo.mapper.goodsdb.GoodsMapper">
    <select id="selectOneGoods" parameterType="long" resultType="com.shardingmulti.demo.pojo.Goods">
        select * from goods where goodsId=#{goodsId}
    </select>
</mapper>

五，测试效果

1,访问goodsdb

http://127.0.0.1:8080/home/goodsinfo?goodsid=3

返回:

2,访问orderdb

http://127.0.0.1:8080/home/orderinfo?orderid=77

返回:

3,访问分表库:

http://127.0.0.1:8080/home/orderlist/

返回:

4,从druid的监控页面查看创建的连接:

http://127.0.0.1:8080/druid

可以看到连接有共4个数据源：

六，查看spring boot版本:

  .   ____          _            __ _ _
 /\ / ___'_ __ _ _(_)_ __  __ _    
( ( )\___ | '_ | '_| | '_ / _` |    
 \/  ___)| |_)| | | | | || (_| |  ) ) ) )
  '  |____| .__|_| |_|_| |_\__, | / / / /
 =========|_|==============|___/=/_/_/_/
 :: Spring Boot ::        (v2.3.3.RELEASE)