spring boot:shardingsphere+druid多数据源整合seata分布式事务(spring boot 2.3.3)
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，
网站：https://blog.imgtouch.com
本文: https://blog.imgtouch.com/index.php/2023/05/25/springbootshardingspheredruid-duo-shu-ju-yuan-zheng-he-seata-fen-bu-shi-shi-wu-springboot233/
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/shardingseatamulti
2，项目功能说明：
演示了在多个数据源并存的shardingsphere项目中整合seata
3, 项目结构：如图:
三，配置文件说明
1,pom.xml
<dependency> <groupId>org.springframework.boot</groupId> <artifactId>spring-boot-starter-web</artifactId> <!--exclude log--> <exclusions> <exclusion> <groupId>org.springframework.boot</groupId> <artifactId>spring-boot-starter-logging</artifactId> </exclusion> </exclusions> </dependency> <!--mybatis begin--> <dependency> <groupId>org.mybatis.spring.boot</groupId> <artifactId>mybatis-spring-boot-starter</artifactId> <version>2.1.3</version> </dependency> <!--druid starter begin--> <dependency> <groupId>com.alibaba</groupId> <artifactId>druid-spring-boot-starter</artifactId> <version>1.1.22</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> <!--mysql begin--> <dependency> <groupId>mysql</groupId> <artifactId>mysql-connector-java</artifactId> <scope>runtime</scope> </dependency> <!--pagehelper begin--> <dependency> <groupId>com.github.pagehelper</groupId> <artifactId>pagehelper-spring-boot-starter</artifactId> <version>1.3.0</version> </dependency> <!--thymeleaf begin--> <dependency> <groupId>org.springframework.boot</groupId> <artifactId>spring-boot-starter-thymeleaf</artifactId> </dependency> <!--seata begin--> <dependency> <groupId>io.seata</groupId> <artifactId>seata-all</artifactId> <version>1.3.0</version> </dependency> <!--sharding jdbc begin--> <dependency> <groupId>org.apache.shardingsphere</groupId> <artifactId>sharding-jdbc-core</artifactId> <version>4.1.1</version> </dependency> <dependency> <groupId>org.springframework.boot</groupId> <artifactId>spring-boot-starter-web</artifactId> <!--exclude log--> <exclusions> <exclusion> <groupId>org.springframework.boot</groupId> <artifactId>spring-boot-starter-logging</artifactId> </exclusion> </exclusions> </dependency> <!--mybatis begin--> <dependency> <groupId>org.mybatis.spring.boot</groupId> <artifactId>mybatis-spring-boot-starter</artifactId> <version>2.1.3</version> </dependency> <!--druid starter begin--> <dependency> <groupId>com.alibaba</groupId> <artifactId>druid-spring-boot-starter</artifactId> <version>1.1.22</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> <!--mysql begin--> <dependency> <groupId>mysql</groupId> <artifactId>mysql-connector-java</artifactId> <scope>runtime</scope> </dependency> <!--pagehelper begin--> <dependency> <groupId>com.github.pagehelper</groupId> <artifactId>pagehelper-spring-boot-starter</artifactId> <version>1.3.0</version> </dependency> <!--thymeleaf begin--> <dependency> <groupId>org.springframework.boot</groupId> <artifactId>spring-boot-starter-thymeleaf</artifactId> </dependency> <!--seata begin--> <dependency> <groupId>io.seata</groupId> <artifactId>seata-all</artifactId> <version>1.3.0</version> </dependency> <!--sharding jdbc begin--> <dependency> <groupId>org.apache.shardingsphere</groupId> <artifactId>sharding-jdbc-core</artifactId> <version>4.1.1</version> </dependency> <!--sharding seata begin--> <dependency> <groupId>org.apache.shardingsphere</groupId> <artifactId>sharding-jdbc-spring-namespace</artifactId> <version>4.1.1</version> </dependency> <dependency> <groupId>org.apache.shardingsphere</groupId> <artifactId>sharding-transaction-base-seata-at</artifactId> <version>4.1.1</version> </dependency> <!--aop begin--> <dependency> <groupId>org.springframework.boot</groupId> <artifactId>spring-boot-starter-aop</artifactId> </dependency> <dependency> <groupId>org.apache.shardingsphere</groupId> <artifactId>sharding-jdbc-spring-namespace</artifactId> <version>4.1.1</version> </dependency> <dependency> <groupId>org.apache.shardingsphere</groupId> <artifactId>sharding-transaction-base-seata-at</artifactId> <version>4.1.1</version> </dependency> <!--aop begin--> <dependency> <groupId>org.springframework.boot</groupId> <artifactId>spring-boot-starter-aop</artifactId> </dependency>
2,application.properties
#error server.error.include-stacktrace=always #error logging.level.org.springframework.web=trace #thymeleaf spring.thymeleaf.cache=false spring.thymeleaf.encoding=UTF-8 spring.thymeleaf.mode=HTML spring.thymeleaf.prefix=classpath:/templates/ spring.thymeleaf.suffix=.html ##shardingsphere spring.shardingsphere.props.sql.show=true #mybatis mybatis.mapper-locations=classpath:/mapper/*Mapper.xml mybatis.configuration.log-impl=org.apache.ibatis.logging.stdout.StdOutImpl #sharding_jdbc 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 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 # 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 ##############################[seata配置]################################################### seata.txServiceGroup=my_test_tx_group
3,数据库
共3个：salesorder01/saleorder02/store
建表sql：
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
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'
store库的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 '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'
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);
4,file.conf
transport { # tcp udt unix-domain-socket type = "TCP" #NIO NATIVE server = "NIO" #enable heartbeat heartbeat = true #thread factory for netty thread-factory { boss-thread-prefix = "NettyBoss" worker-thread-prefix = "NettyServerNIOWorker" server-executor-thread-prefix = "NettyServerBizHandler" share-boss-worker = false client-selector-thread-prefix = "NettyClientSelector" client-selector-thread-size = 1 client-worker-thread-prefix = "NettyClientWorkerThread" # netty boss thread size,will not be used for UDT boss-thread-size = 1 #auto default pin or 8 worker-thread-size = 8 } } service { vgroupMapping.my_test_tx_group = "default" #only support when registry.type=file, please don't set multiple addresses default.grouplist = "127.0.0.1:8091" #degrade, current not support enableDegrade = false #disable seata disableGlobalTransaction = false } client { async.commit.buffer.limit = 10000 lock { retry.internal = 10 retry.times = 30 } }
5,registry.conf
registry { # file 、nacos 、eureka、redis、zk、consul、etcd3、sofa type = "file" nacos { application = "seata-server" serverAddr = "127.0.0.1:8848" group = "SEATA_GROUP" namespace = "" cluster = "default" username = "" password = "" } eureka { serviceUrl = "http://localhost:8761/eureka" application = "default" weight = "1" } redis { serverAddr = "localhost:6379" db = 0 password = "" cluster = "default" timeout = 0 } zk { cluster = "default" serverAddr = "127.0.0.1:2181" sessionTimeout = 6000 connectTimeout = 2000 username = "" password = "" } consul { cluster = "default" serverAddr = "127.0.0.1:8500" } etcd3 { cluster = "default" serverAddr = "http://localhost:2379" } sofa { serverAddr = "127.0.0.1:9603" application = "default" region = "DEFAULT_ZONE" datacenter = "DefaultDataCenter" cluster = "default" group = "SEATA_GROUP" addressWaitTime = "3000" } file { name = "file.conf" } } config { # file、nacos 、apollo、zk、consul、etcd3 type = "file" nacos { serverAddr = "127.0.0.1:8848" namespace = "" group = "SEATA_GROUP" username = "" password = "" } consul { serverAddr = "127.0.0.1:8500" } apollo { appId = "seata-server" apolloMeta = "http://192.168.1.204:8801" namespace = "application" } zk { serverAddr = "127.0.0.1:2181" sessionTimeout = 6000 connectTimeout = 2000 username = "" password = "" } etcd3 { serverAddr = "http://localhost:2379" } file { name = "file.conf" } }
6,seata.conf
client { application.id = my_test_tx transaction.service.group = my_test_tx_group }
四，java代码说明
1,GoodsdbSourceConfig.java
@Configuration @MapperScan(basePackages = "com.shardingseatamulti.demo.goodsdb", sqlSessionTemplateRef = "goodsdbSqlSessionTemplate") public class GoodsdbSourceConfig { @Bean(name = "goodsdbDataSource") @Primary @ConfigurationProperties("spring.datasource.druid.goodsdb") public DataSource goodsdbDataSource() { System.out.println("init goodsdb datasource"); return DruidDataSourceBuilder.create().build(); } @Bean(name = "goodsdbDataSourceProxy") public DataSourceProxy goodsdbDataSourceProxy(@Qualifier("goodsdbDataSource") DataSource dataSource) { //DataSourceProxy dsproxy = new DataSourceProxy(dataSource,"my_test_tx_group"); DataSourceProxy dsproxy = new DataSourceProxy(dataSource,"DEFAULT"); //dsproxy. return dsproxy; } // 创建SessionFactory @Bean(name = "goodsdbSqlSessionFactory") public SqlSessionFactory goodsdbSqlSessionFactory(@Qualifier("goodsdbDataSourceProxy") DataSource dataSource) throws Exception { SqlSessionFactoryBean bean = new SqlSessionFactoryBean(); bean.setDataSource(dataSource); bean.setMapperLocations(new PathMatchingResourcePatternResolver().getResources("classpath:mappergoodsdb/*.xml")); return bean.getObject(); } // 创建事务管理器 @Bean("goodsdbTransactionManager") public DataSourceTransactionManager goodsdbTransactionManger(@Qualifier("goodsdbDataSourceProxy") DataSource dataSource) { return new DataSourceTransactionManager(dataSource); } // 创建SqlSessionTemplate @Bean(name = "goodsdbSqlSessionTemplate") public SqlSessionTemplate goodsdbSqlSessionTemplate(@Qualifier("goodsdbSqlSessionFactory") SqlSessionFactory sqlSessionFactory) { return new SqlSessionTemplate(sqlSessionFactory); } }
访问到store库的数据源
2,ShardingDataSourceConfig.java
@Configuration @MapperScan(basePackages = "com.shardingseatamulti.demo.mapper", 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(); } //创建数据源，需要把分库的库都传递进去 //@Bean("dataSource") //@Bean("dataSource") @Bean("dataSource") public DataSource dataSource(@Qualifier("saleorder01") DataSource saleorder01,@Qualifier("saleorder02") DataSource saleorder02) throws SQLException { System.out.println("init sharding datasource"); // 配置真实数据源 Map<String, DataSource> dataSourceMap = new HashMap<String, DataSource>(); dataSourceMap.put("saleorder01", saleorder01); dataSourceMap.put("saleorder02", saleorder02); ShardingRuleConfiguration shardingRuleConfig = new ShardingRuleConfiguration(); //如果有多个数据表需要分表，依次添加到这里 shardingRuleConfig.getTableRuleConfigs().add(getOrderTableRuleConfiguration()); // shardingRuleConfig.getTableRuleConfigs().add(getOrderItemTableRuleConfiguration()); 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/*.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(getDatabaseStrategyConfiguration()); result.setDatabaseShardingStrategyConfig(new StandardShardingStrategyConfiguration("orderId",databasePreciseShardingAlgorithm)); //result.setTableShardingStrategyConfig(getStrategyConfiguration()); 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; } }
访问shardingjdbc的数据源
3,SeataFilter.java
@Component public class SeataFilter implements Filter { @Override public void init(FilterConfig filterConfig) throws ServletException { } @Override public void doFilter(ServletRequest servletRequest, ServletResponse servletResponse, FilterChain filterChain) throws IOException, ServletException { HttpServletRequest req = (HttpServletRequest) servletRequest; String xid = req.getHeader(RootContext.KEY_XID.toLowerCase()); System.out.println("xid:"+xid); boolean isBind = false; if (StringUtils.isNotBlank(xid)) { //如果xid不为空，则RootContext需要绑定xid,供给seata识别这是同一个分布式事务 RootContext.bind(xid); isBind = true; } try { filterChain.doFilter(servletRequest, servletResponse); } finally { if (isBind) { RootContext.unbind(); } } } @Override public void destroy() { } }
负责接收url传递的事务xid
4,DruidConfig.java
@Configuration public class DruidConfig { /** * 配置Druid监控 * 后台管理Servlet * @return */ @Bean public ServletRegistrationBean statViewServlet(){ ServletRegistrationBean bean = new ServletRegistrationBean(new StatViewServlet(), "/druid/*"); Map<String,String> initParams = new HashMap<>();//这是配置的druid监控的登录密码 initParams.put("loginUsername","root"); initParams.put("loginPassword","root"); //默认就是允许所有访问 initParams.put("allow",""); initParams.put("deny","192.168.15.21"); //黑名单的IP bean.setInitParameters(initParams); return bean; } /** * 配置web监控的filter * @return */ @Bean public FilterRegistrationBean webStatFilter(){ FilterRegistrationBean bean = new FilterRegistrationBean(); bean.setFilter(new WebStatFilter()); Map<String,String> initParams = new HashMap<>(); initParams.put("exclusions","/static/*,*.js,*.gif,*.jpg,*.png,*.css,*.ico,/druid/*");//过滤掉需要监控的文件 bean.setInitParameters(initParams); bean.setUrlPatterns(Arrays.asList("/*")); return bean; } }
配置druid
5，SeataConfig.java
@Aspect @Configuration public class SeataConfig { private static final String AOP_POINTCUT_EXPRESSION = "@annotation(io.seata.spring.annotation.GlobalTransactional)"; @Value("${seata.txServiceGroup}") private String txServiceGroup; @Bean public GlobalTransactionalInterceptor globalTransactionalInterceptor(){ System.out.println("globalTransactionalInterceptor"); GlobalTransactionalInterceptor globalTransactionalInterceptor = new GlobalTransactionalInterceptor(null); return globalTransactionalInterceptor; } @Bean public GlobalTransactionScanner getGlobalTransactionScanner() { return new GlobalTransactionScanner("performance", txServiceGroup); } @Bean public Advisor seataAdviceAdvisor() { AspectJExpressionPointcut pointcut = new AspectJExpressionPointcut(); pointcut.setExpression(AOP_POINTCUT_EXPRESSION); return new DefaultPointcutAdvisor(pointcut,globalTransactionalInterceptor()); } }
配置seata
6，DatabasePreciseShardingAlgorithm.java
@Component public class DatabasePreciseShardingAlgorithm implements PreciseShardingAlgorithm<Long> { @Override public String doSharding(Collection<String> availableTargetNames, PreciseShardingValue<Long> shardingValue) { System.out.println("------------------select database name"); Long curValue = shardingValue.getValue(); String curBase = ""; if (curValue > 0 && curValue<=200) { curBase = "saleorder01"; } else { curBase = "saleorder02"; } return curBase; } }
分库算法
7,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; } }
分表算法
8,HomeController.java
@Controller @RequestMapping("/home") public class HomeController { private static final String SUCCESS = "SUCCESS"; private static final String FAIL = "FAIL"; @Resource private OrderShardingMapper orderShardingMapper; @Resource private GoodsMapper goodsMapper; //订单列表，列出分库分表的数据 @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"; } //添加一个订单,访问一个数据库和分库分表的两个数据库 @GetMapping("/addorder") @ResponseBody @GlobalTransactional(timeoutMills = 300000,rollbackFor = Exception.class) public String addOrder(@RequestParam(value="orderid",required = true,defaultValue = "0") Long orderId, @RequestParam(value="isfail",required = true,defaultValue = "0") int isFail ) throws SQLException, IOException { String goodsId = "3"; String goodsNum = "1"; String goodsName = new SimpleDateFormat("yyyyMMddHHmmssSSS").format(new Date()); OrderSharding orderOne = new OrderSharding(); orderOne.setOrderId(orderId); orderOne.setGoodsName(goodsName); TransactionTypeHolder.set(TransactionType.BASE); int resIns = orderShardingMapper.insertOneOrder(orderOne); System.out.println("orderId:"+orderOne.getOrderId()); TransactionTypeHolder.set(TransactionType.BASE); int count = -1; int res = goodsMapper.updateGoodsStock(Long.parseLong(goodsId),count); System.out.println("res:"+res); if (isFail == 1) { int divide = 0; int resul = 100 / divide; } return SUCCESS; } //添加一个订单,访问一个数据库和分库分表的两个数据库,rest方式 @GetMapping("/addorderrest") @ResponseBody @GlobalTransactional(timeoutMills = 300000,rollbackFor = Exception.class) public String addOrderrest(@RequestParam(value="orderid",required = true,defaultValue = "0") Long orderId, @RequestParam(value="isfail",required = true,defaultValue = "0") int isFail ) throws SQLException, IOException { String goodsId = "3"; String goodsNum = "1"; String goodsName = new SimpleDateFormat("yyyyMMddHHmmssSSS").format(new Date()); OrderSharding orderOne = new OrderSharding(); orderOne.setOrderId(orderId); orderOne.setGoodsName(goodsName); TransactionTypeHolder.set(TransactionType.BASE); int resIns = orderShardingMapper.insertOneOrder(orderOne); System.out.println("orderId:"+orderOne.getOrderId()); RestTemplate restTemplate = new RestTemplate(); String xid = RootContext.getXID(); System.out.println("xid before send:"+xid); HttpHeaders headers = new HttpHeaders(); headers.add(RootContext.KEY_XID, xid); String goodsUPNum = "-1"; String urlUpStock = "http://127.0.0.1:8080/goods/goodsstock/"+goodsId+"/"+goodsUPNum+"/"; String resultUp = restTemplate.postForObject(urlUpStock,new HttpEntity<String>(headers),String.class); if (!SUCCESS.equals(resultUp)) { throw new RuntimeException(); } if (isFail == 1) { int divide = 0; int resul = 100 / divide; } return SUCCESS; } }
9,GoodsController.java
@RestController @RequestMapping("/goods") public class GoodsController { private static final String SUCCESS = "SUCCESS"; private static final String FAIL = "FAIL"; @Resource private GoodsMapper goodsMapper; //更新商品库存 参数:商品id @RequestMapping("/goodsstock/{goodsId}/{count}") @ResponseBody public String goodsStock(@PathVariable Long goodsId, @PathVariable int count) { TransactionTypeHolder.set(TransactionType.BASE); int res = goodsMapper.updateGoodsStock(goodsId,count); System.out.println("res:"+res); if (res>0) { return SUCCESS; } else { return FAIL; } } //商品详情 参数: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; } }
10,其他非关键代码可以从github上查看
五，测试效果
1,查看shardingjdbc查询数据库的效果:
访问:
http://127.0.0.1:8080/home/orderlist
返回:
可以确定shardingsphere工作正常
2,测试同一个数据源（shardingsphere）不同数据库之间的分布式事务
store库，goods表：设置goodsid为3的商品stock值为100
store库,undolog表的下一个自增值:50
saleorder02库,undo_log表的下一个自增值:39
访问url:
http://127.0.0.1:8080/home/addorder?orderid=400
返回:
SUCCESS
查看数据库:saleorder02库t_order_4表
查看数据库:store库goods表
store库undo_log的自增值:
saleorder02库undo_log的自增值:
可见事务是生效的
测试发生异常时事务的回滚:
访问:
http://127.0.0.1:8080/home/addorder?orderid=401&isfail=1
返回：发生了除0错:
查看数据库:saleorder02:
t_order_4表：
找不到orderid为401的记录
查看undo_log表的下一个自增值:
查看数据库:store:
goods表中查看stock:
未改变
查看undo_log表的下一个自增值:
可见事务已生效:
查看控制台的输出:
可以看到：
Begin new global transaction。。。
Branch Rollbacked result: PhaseTwo_Rollbacked 。。。
Branch Rollbacked result: PhaseTwo_Rollbacked 。。。
有两次rollback,因为提交到了两个库
3,测试通过resttemplate访问url的分布式事务
访问不同url的分布式事务涉及到xid的传递:
可以用以下两个url进行测试，效果同上，不再一一贴出:
http://127.0.0.1:8080/home/addorderrest?orderid=402
http://127.0.0.1:8080/home/addorderrest?orderid=403&isfail=1
4,访问druid的ui,可以看到连接到了3个数据库:
六，查看spring boot版本:
. ____ _ __ _ _ /\\ / ___'_ __ _ _(_)_ __ __ _ \ \ \ \ ( ( )\___ | '_ | '_| | '_ \/ _` | \ \ \ \ \\/ ___)| |_)| | | | | || (_| | ) ) ) ) ' |____| .__|_| |_|_| |_\__, | / / / / =========|_|==============|___/=/_/_/_/ :: Spring Boot :: (v2.3.3.RELEASE)
