一,為什么要使用多個數據源?
說明:劉宏締的架構森林是一個專注架構的博客,地址:https://www.cnblogs.com/architectforest
對應的源碼可以訪問這里獲取: https://github.com/liuhongdi/
說明:作者:劉宏締 郵箱: 371125307@qq.com
二,演示項目的相關信息
1,項目地址:
https://github.com/liuhongdi/multidruid
2,項目功能說明:
訪問兩個數據庫,分別打印出兩個庫中商品和訂單的信息
3,項目結構:如圖:
三,配置文件說明:
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> <!--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--> <!--mybatis begin--> <dependency> <groupId>org.mybatis.spring.boot</groupId> <artifactId>mybatis-spring-boot-starter</artifactId> <version>2.1.3</version> </dependency> <!--mybatis end--> <!--mysql begin--> <dependency> <groupId>mysql</groupId> <artifactId>mysql-connector-java</artifactId> <scope>runtime</scope> </dependency> <!--mysql end-->
說明:因為給druid使用了log4j2日志,為避免沖突,
在spring-boot-starter-web中排除了spring-boot-starter-logging
2,application.properties:
#error server.error.include-stacktrace=always #error logging.level.org.springframework.web=trace # 數據源goodsdb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 # 數據源orderdb基本配置 spring.datasource.druid.orderdb.username = root spring.datasource.druid.orderdb.password = lhddemo spring.datasource.druid.orderdb.driver-class-name = com.mysql.cj.jdbc.Driver spring.datasource.druid.orderdb.url = jdbc:mysql://127.0.0.1:3306/orderdb?serverTimezone=UTC spring.datasource.druid.orderdb.type = com.alibaba.druid.pool.DruidDataSource spring.datasource.druid.orderdb.initialSize = 5 spring.datasource.druid.orderdb.minIdle = 5 spring.datasource.druid.orderdb.maxActive = 20 spring.datasource.druid.orderdb.maxWait = 60000 spring.datasource.druid.orderdb.timeBetweenEvictionRunsMillis = 60000 spring.datasource.druid.orderdb.minEvictableIdleTimeMillis = 300000 spring.datasource.druid.orderdb.validationQuery = SELECT 1 FROM DUAL spring.datasource.druid.orderdb.testWhileIdle = true spring.datasource.druid.orderdb.testOnBorrow = false spring.datasource.druid.orderdb.testOnReturn = false spring.datasource.druid.orderdb.poolPreparedStatements = true # 配置監控統計攔截的filters,去掉后監控界面sql無法統計,'wall'用於防火牆 spring.datasource.druid.filters = stat,wall,log4j2 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 #mybatis mybatis.mapper-locations=classpath:/mapper/*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
3,log4j2.xml
<?xml version="1.0" encoding="UTF-8"?> <configuration status="OFF"> <appenders> <Console name="Console" target="SYSTEM_OUT"> <!--只接受程序中DEBUG級別的日志進行處理--> <ThresholdFilter level="DEBUG" onMatch="ACCEPT" onMismatch="DENY"/> <PatternLayout pattern="%d{yyyy-MM-dd HH:mm:ss.SSS} [%thread] [%file:%line] %-5level %logger{35} - %msg %n"/> </Console> <!--處理INFO級別的日志,並把該日志放到logs/info.log文件中--> <RollingFile name="RollingFileInfo" fileName="./logs/info.log" filePattern="logs/$${date:yyyy-MM}/info-%d{yyyy-MM-dd}-%i.log.gz"> <Filters> <ThresholdFilter level="INFO"/> <ThresholdFilter level="WARN" onMatch="DENY" onMismatch="NEUTRAL"/> </Filters> <PatternLayout pattern="%d{yyyy-MM-dd HH:mm:ss.SSS} [%thread] [%file:%line] %-5level %logger{35} - %msg %n"/> <Policies> <SizeBasedTriggeringPolicy size="500 MB"/> <TimeBasedTriggeringPolicy/> </Policies> </RollingFile> <!--處理WARN級別的日志,並把該日志放到logs/warn.log文件中--> <RollingFile name="RollingFileWarn" fileName="./logs/warn.log" filePattern="logs/$${date:yyyy-MM}/warn-%d{yyyy-MM-dd}-%i.log.gz"> <Filters> <ThresholdFilter level="WARN"/> <ThresholdFilter level="ERROR" onMatch="DENY" onMismatch="NEUTRAL"/> </Filters> <PatternLayout pattern="%d{yyyy-MM-dd HH:mm:ss.SSS} [%thread] [%file:%line] %-5level %logger{35} - %msg %n"/> <Policies> <SizeBasedTriggeringPolicy size="500 MB"/> <TimeBasedTriggeringPolicy/> </Policies> </RollingFile> <!--處理error級別的日志,並把該日志放到logs/error.log文件中--> <RollingFile name="RollingFileError" fileName="./logs/error.log" filePattern="logs/$${date:yyyy-MM}/error-%d{yyyy-MM-dd}-%i.log.gz"> <ThresholdFilter level="ERROR"/> <PatternLayout pattern="%d{yyyy-MM-dd HH:mm:ss.SSS} [%thread] [%file:%line] %-5level %logger{35} - %msg %n"/> <Policies> <SizeBasedTriggeringPolicy size="500 MB"/> <TimeBasedTriggeringPolicy/> </Policies> </RollingFile> <!--druid的日志記錄追加器--> <RollingFile name="druidSqlRollingFile" fileName="./logs/druid-sql.log" filePattern="logs/$${date:yyyy-MM}/api-%d{yyyy-MM-dd}-%i.log.gz"> <PatternLayout pattern="%d{yyyy-MM-dd HH:mm:ss.SSS} [%thread] [%file:%line] %-5level %logger{35} - %msg %n"/> <Policies> <SizeBasedTriggeringPolicy size="500 MB"/> <TimeBasedTriggeringPolicy/> </Policies> </RollingFile> </appenders> <loggers> <AsyncRoot level="info"> <appender-ref ref="Console"/> <appender-ref ref="RollingFileInfo"/> <appender-ref ref="RollingFileWarn"/> <appender-ref ref="RollingFileError"/> </AsyncRoot> <!--記錄druid-sql的記錄--> <AsyncLogger name="druid.sql.Statement" level="debug" additivity="false"> <appender-ref ref="druidSqlRollingFile"/> </AsyncLogger> </loggers> </configuration>
4,數據庫的相關業務表:
goods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 '標題', `price` decimal(15,2) NOT NULL DEFAULT '0.00' COMMENT '價格', `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'
goods表中的數據:
INSERT INTO `goods` (`goodsId`, `goodsName`, `subject`, `price`, `stock`) VALUES (3, '100分電動牙刷', '好用到讓你愛上刷牙', '59.00', 96);
order表:
CREATE TABLE `orderinfo` ( `orderId` bigint(11) unsigned NOT NULL AUTO_INCREMENT COMMENT 'id', `orderSn` varchar(100) NOT NULL DEFAULT '' COMMENT '編號', `orderTime` timestamp NOT NULL DEFAULT '1971-01-01 00:00:01' COMMENT '下單時間', `orderStatus` tinyint(4) NOT NULL DEFAULT '0' COMMENT '狀態:0,未支付,1,已支付,2,已發貨,3,已退貨,4,已過期', `userId` int(12) NOT NULL DEFAULT '0' COMMENT '用戶id', `price` decimal(10,0) NOT NULL DEFAULT '0' COMMENT '價格', `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='訂單表'
order表中的數據:
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代碼說明:
1,GoodsdbSourceConfig.java
@Configuration @MapperScan(basePackages = "com.multidruid.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); } }
說明:用basePackages指定mapper程序所在目錄,
bean.setMapperLocations指定mapper的xml文件所在目錄
2,OrderdbSourceConfig.java
@Configuration @MapperScan(basePackages = "com.multidruid.demo.mapper.orderdb", sqlSessionTemplateRef = "orderdbSqlSessionTemplate") public class OrderdbSourceConfig { @Bean @ConfigurationProperties(prefix = "spring.datasource.druid.orderdb") public DataSource orderdbDataSource() { return DruidDataSourceBuilder.create().build(); } @Bean public SqlSessionFactory orderdbSqlSessionFactory(@Qualifier("orderdbDataSource") DataSource dataSource) throws Exception { SqlSessionFactoryBean bean = new SqlSessionFactoryBean(); bean.setDataSource(dataSource); bean.setMapperLocations(new PathMatchingResourcePatternResolver().getResources("classpath:mapper/orderdb/*.xml")); return bean.getObject(); } @Bean public DataSourceTransactionManager orderdbTransactionManager(@Qualifier("orderdbDataSource") DataSource dataSource) { return new DataSourceTransactionManager(dataSource); } @Bean public SqlSessionTemplate orderdbSqlSessionTemplate(@Qualifier("orderdbSqlSessionFactory") SqlSessionFactory sqlSessionFactory) throws Exception { return new SqlSessionTemplate(sqlSessionFactory); } }
說明:用basePackages指定mapper程序所在目錄,
bean.setMapperLocations指定mapper的xml文件所在目錄
主要是把兩個數據源對應的mapper接口程序和mapper的xml文件隔離開
3,GoodsMapper.java
@Repository @Mapper public interface GoodsMapper { Goods selectOneGoods(Long goodsId); }
4,OrderMapper.java
@Repository @Mapper public interface OrderMapper { Order selectOneOrder(Long orderId); }
5,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.multidruid.demo.mapper.goodsdb.GoodsMapper"> <select id="selectOneGoods" parameterType="long" resultType="com.multidruid.demo.pojo.Goods"> select * from goods where goodsId=#{goodsId} </select> </mapper>
6,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.multidruid.demo.mapper.orderdb.OrderMapper"> <select id="selectOneOrder" parameterType="long" resultType="com.multidruid.demo.pojo.Order"> select * from orderinfo where orderId=#{orderId} </select> </mapper>
7,HomeController.java
@Controller @RequestMapping("/home") public class HomeController { @Resource private GoodsMapper goodsMapper; @Resource private OrderMapper orderMapper; //商品詳情 參數:商品id @GetMapping("/goodsinfo") @ResponseBody public Goods goodsInfo(@RequestParam(value="goodsid",required = true,defaultValue = "0") Long goodsId) { Goods goods = goodsMapper.selectOneGoods(goodsId); return goods; } //訂單詳情 參數:訂單id @GetMapping("/orderinfo") @ResponseBody public Order orderInfo(@RequestParam(value="orderid",required = true,defaultValue = "0") Long orderId) { Order order = orderMapper.selectOneOrder(orderId); return order; } }
8,Goods/Order 兩個pojo類很簡單,不列出了,大家可以訪問github查看
五,測試效果:
1,查詢商品信息,訪問:
http://127.0.0.1:8080/home/goodsinfo?goodsid=3
返回:
{"goodsId":3,"goodsName":"100分電動牙刷","subject":"好用到讓你愛上刷牙","price":59.00,"stock":96}
2,查詢訂單信息,訪問:
http://127.0.0.1:8080/home/orderinfo?orderid=77
返回:
{"orderId":77,"orderSn":"20200814171411660","orderTime":"2020-08-14 17:14:12","orderStatus":0,"userId":8,"price":100}
3,查看druid監控頁面中連接到的數據源
可以看到已連接到的兩個數據源
六,查看spring boot的版本
. ____ _ __ _ _ /\\ / ___'_ __ _ _(_)_ __ __ _ \ \ \ \ ( ( )\___ | '_ | '_| | '_ \/ _` | \ \ \ \ \\/ ___)| |_)| | | | | || (_| | ) ) ) ) ' |____| .__|_| |_|_| |_\__, | / / / / =========|_|==============|___/=/_/_/_/ :: Spring Boot :: (v2.3.2.RELEASE)