pom.xml中添加atomikos的springboot相關依賴:css
<!--分佈式事務--> <dependency> <groupId>org.springframework.boot</groupId> <artifactId>spring-boot-starter-jta-atomikos</artifactId> </dependency>
點進去會發現裏面整合好了:transactions-jms、transactions-jta、transactions-jdbc、javax.transaction-api前端
2、把數據源的相關配置項單獨提煉到一個application.yml中:注意:java
1.這回咱們的spring.datasource.type 是com.alibaba.druid.pool.xa.DruidXADataSource;mysql
2.spring.jta.transaction-manager-id的值在你的電腦中是惟一的,這個詳細請閱讀官方文檔;git
3.要把以前在application-dev.properties中的spring.datasource.*全部相關配置註釋掉;github
完整的yml文件以下:web
spring:ajax
datasource:spring
type: com.alibaba.druid.pool.xa.DruidXADataSourcesql
druid:
systemDB:
name: systemDB
url: jdbc:mysql://localhost:3306/springboot-mybatis?useUnicode=true&characterEncoding=utf-8
username: root
password: root
# 下面爲鏈接池的補充設置,應用到上面全部數據源中
# 初始化大小,最小,最大
initialSize: 5
minIdle: 5
maxActive: 20
# 配置獲取鏈接等待超時的時間
maxWait: 60000
# 配置間隔多久才進行一次檢測,檢測須要關閉的空閒鏈接,單位是毫秒
timeBetweenEvictionRunsMillis: 60000
# 配置一個鏈接在池中最小生存的時間,單位是毫秒
minEvictableIdleTimeMillis: 30
validationQuery: SELECT 1
validationQueryTimeout: 10000
testWhileIdle: true
testOnBorrow: false
testOnReturn: false
# 打開PSCache,而且指定每一個鏈接上PSCache的大小
poolPreparedStatements: true
maxPoolPreparedStatementPerConnectionSize: 20
filters: stat,wall
# 經過connectProperties屬性來打開mergeSql功能;慢SQL記錄
connectionProperties: druid.stat.mergeSql=true;druid.stat.slowSqlMillis=5000
# 合併多個DruidDataSource的監控數據
useGlobalDataSourceStat: true
businessDB:
name: businessDB
url: jdbc:mysql://localhost:3306/springboot-mybatis2?useUnicode=true&characterEncoding=utf-8
username: root
password: root
# 下面爲鏈接池的補充設置,應用到上面全部數據源中
# 初始化大小,最小,最大
initialSize: 5
minIdle: 5
maxActive: 20
# 配置獲取鏈接等待超時的時間
maxWait: 60000
# 配置間隔多久才進行一次檢測,檢測須要關閉的空閒鏈接,單位是毫秒
timeBetweenEvictionRunsMillis: 60000
# 配置一個鏈接在池中最小生存的時間,單位是毫秒
minEvictableIdleTimeMillis: 30
validationQuery: SELECT 1
validationQueryTimeout: 10000
testWhileIdle: true
testOnBorrow: false
testOnReturn: false
# 打開PSCache,而且指定每一個鏈接上PSCache的大小
poolPreparedStatements: true
maxPoolPreparedStatementPerConnectionSize: 20
filters: stat,wall
# 經過connectProperties屬性來打開mergeSql功能;慢SQL記錄
connectionProperties: druid.stat.mergeSql=true;druid.stat.slowSqlMillis=5000
# 合併多個DruidDataSource的監控數據
useGlobalDataSourceStat: true
#jta相關參數配置
jta:
log-dir: classpath:tx-logs
transaction-manager-id: txManager
3、在DruidConfig.java中實現多個數據源的註冊;分佈式事務管理器的註冊;druid的註冊;package com.zjt.config;
import com.alibaba.druid.filter.stat.StatFilter;
import com.alibaba.druid.support.http.StatViewServlet;
import com.alibaba.druid.support.http.WebStatFilter;
import com.alibaba.druid.wall.WallConfig;
import com.alibaba.druid.wall.WallFilter;
import com.atomikos.icatch.jta.UserTransactionImp;
import com.atomikos.icatch.jta.UserTransactionManager;
import org.springframework.beans.factory.annotation.Autowired;
import org.springframework.boot.jta.atomikos.AtomikosDataSourceBean;
import org.springframework.boot.web.servlet.FilterRegistrationBean;
import org.springframework.boot.web.servlet.ServletRegistrationBean;
import org.springframework.context.annotation.Bean;
import org.springframework.context.annotation.Configuration;
import org.springframework.context.annotation.Primary;
import org.springframework.core.env.Environment;
import org.springframework.transaction.jta.JtaTransactionManager;
import javax.sql.DataSource;
import javax.transaction.UserTransaction;
import java.util.Properties;
/**
* Druid配置
*
* @author zhaojiatao
*/
@Configuration
public class DruidConfig {
@Bean(name = "systemDataSource")
@Primary
@Autowired
public DataSource systemDataSource(Environment env) {
AtomikosDataSourceBean ds = new AtomikosDataSourceBean();
Properties prop = build(env, "spring.datasource.druid.systemDB.");
ds.setXaDataSourceClassName("com.alibaba.druid.pool.xa.DruidXADataSource");
ds.setUniqueResourceName("systemDB");
ds.setPoolSize(5);
ds.setXaProperties(prop);
return ds;
}
@Autowired
@Bean(name = "businessDataSource")
public AtomikosDataSourceBean businessDataSource(Environment env) {
AtomikosDataSourceBean ds = new AtomikosDataSourceBean();
Properties prop = build(env, "spring.datasource.druid.businessDB.");
ds.setXaDataSourceClassName("com.alibaba.druid.pool.xa.DruidXADataSource");
ds.setUniqueResourceName("businessDB");
ds.setPoolSize(5);
ds.setXaProperties(prop);
return ds;
}
/**
* 注入事物管理器
* @return
*/
@Bean(name = "xatx")
public JtaTransactionManager regTransactionManager () {
UserTransactionManager userTransactionManager = new UserTransactionManager();
UserTransaction userTransaction = new UserTransactionImp();
return new JtaTransactionManager(userTransaction, userTransactionManager);
}
private Properties build(Environment env, String prefix) {
Properties prop = new Properties();
prop.put("url", env.getProperty(prefix + "url"));
prop.put("username", env.getProperty(prefix + "username"));
prop.put("password", env.getProperty(prefix + "password"));
prop.put("driverClassName", env.getProperty(prefix + "driverClassName", ""));
prop.put("initialSize", env.getProperty(prefix + "initialSize", Integer.class));
prop.put("maxActive", env.getProperty(prefix + "maxActive", Integer.class));
prop.put("minIdle", env.getProperty(prefix + "minIdle", Integer.class));
prop.put("maxWait", env.getProperty(prefix + "maxWait", Integer.class));
prop.put("poolPreparedStatements", env.getProperty(prefix + "poolPreparedStatements", Boolean.class));
prop.put("maxPoolPreparedStatementPerConnectionSize",
env.getProperty(prefix + "maxPoolPreparedStatementPerConnectionSize", Integer.class));
prop.put("maxPoolPreparedStatementPerConnectionSize",
env.getProperty(prefix + "maxPoolPreparedStatementPerConnectionSize", Integer.class));
prop.put("validationQuery", env.getProperty(prefix + "validationQuery"));
prop.put("validationQueryTimeout", env.getProperty(prefix + "validationQueryTimeout", Integer.class));
prop.put("testOnBorrow", env.getProperty(prefix + "testOnBorrow", Boolean.class));
prop.put("testOnReturn", env.getProperty(prefix + "testOnReturn", Boolean.class));
prop.put("testWhileIdle", env.getProperty(prefix + "testWhileIdle", Boolean.class));
prop.put("timeBetweenEvictionRunsMillis",
env.getProperty(prefix + "timeBetweenEvictionRunsMillis", Integer.class));
prop.put("minEvictableIdleTimeMillis", env.getProperty(prefix + "minEvictableIdleTimeMillis", Integer.class));
prop.put("filters", env.getProperty(prefix + "filters"));
return prop;
}
@Bean
public ServletRegistrationBean druidServlet() {
ServletRegistrationBean servletRegistrationBean = new ServletRegistrationBean(new StatViewServlet(), "/druid/*");
//控制檯管理用戶,加入下面2行 進入druid後臺就須要登陸
//servletRegistrationBean.addInitParameter("loginUsername", "admin");
//servletRegistrationBean.addInitParameter("loginPassword", "admin");
return servletRegistrationBean;
}
@Bean
public FilterRegistrationBean filterRegistrationBean() {
FilterRegistrationBean filterRegistrationBean = new FilterRegistrationBean();
filterRegistrationBean.setFilter(new WebStatFilter());
filterRegistrationBean.addUrlPatterns("/*");
filterRegistrationBean.addInitParameter("exclusions", "*.js,*.gif,*.jpg,*.png,*.css,*.ico,/druid/*");
filterRegistrationBean.addInitParameter("profileEnable", "true");
return filterRegistrationBean;
}
@Bean
public StatFilter statFilter(){
StatFilter statFilter = new StatFilter();
statFilter.setLogSlowSql(true); //slowSqlMillis用來配置SQL慢的標準,執行時間超過slowSqlMillis的就是慢。
statFilter.setMergeSql(true); //SQL合併配置
statFilter.setSlowSqlMillis(1000);//slowSqlMillis的缺省值爲3000,也就是3秒。
return statFilter;
}
@Bean
public WallFilter wallFilter(){
WallFilter wallFilter = new WallFilter();
//容許執行多條SQL
WallConfig config = new WallConfig();
config.setMultiStatementAllow(true);
wallFilter.setConfig(config);
return wallFilter;
}
}
4、分別配置每一個數據源對應的sqlSessionFactory,以及MapperScan掃描的包:MybatisDatasourceConfig.java
package com.zjt.config;
import com.zjt.util.MyMapper;
import org.apache.ibatis.session.SqlSessionFactory;
import org.mybatis.spring.SqlSessionFactoryBean;
import org.mybatis.spring.SqlSessionTemplate;
import org.mybatis.spring.annotation.MapperScan;
import org.springframework.beans.factory.annotation.Autowired;
import org.springframework.beans.factory.annotation.Qualifier;
import org.springframework.context.annotation.Bean;
import org.springframework.context.annotation.Configuration;
import org.springframework.core.io.support.PathMatchingResourcePatternResolver;
import org.springframework.core.io.support.ResourcePatternResolver;
import javax.sql.DataSource;
/**
* @author <a href="zhaojiatao"></a>
* @version 1.0, 2017/11/24
* @description
*/
@Configuration
// 精確到 mapper 目錄,以便跟其餘數據源隔離
@MapperScan(basePackages = "com.zjt.mapper", markerInterface = MyMapper.class, sqlSessionFactoryRef = "sqlSessionFactory")
public class MybatisDatasourceConfig {
@Autowired
@Qualifier("systemDataSource")
private DataSource ds;
@Bean
public SqlSessionFactory sqlSessionFactory() throws Exception {
SqlSessionFactoryBean factoryBean = new SqlSessionFactoryBean();
factoryBean.setDataSource(ds);
//指定mapper xml目錄
ResourcePatternResolver resolver = new PathMatchingResourcePatternResolver();
factoryBean.setMapperLocations(resolver.getResources("classpath:mapper/*.xml"));
return factoryBean.getObject();
}
@Bean
public SqlSessionTemplate sqlSessionTemplate() throws Exception {
SqlSessionTemplate template = new SqlSessionTemplate(sqlSessionFactory()); // 使用上面配置的Factory
return template;
}
//關於事務管理器,不論是JPA仍是JDBC等都實現自接口 PlatformTransactionManager
// 若是你添加的是 spring-boot-starter-jdbc 依賴,框架會默認注入 DataSourceTransactionManager 實例。
//在Spring容器中,咱們手工註解@Bean 將被優先加載,框架不會從新實例化其餘的 PlatformTransactionManager 實現類。
/*@Bean(name = "transactionManager")
@Primary
public DataSourceTransactionManager masterTransactionManager() {
//MyBatis自動參與到spring事務管理中,無需額外配置,只要org.mybatis.spring.SqlSessionFactoryBean引用的數據源
// 與DataSourceTransactionManager引用的數據源一致便可,不然事務管理會不起做用。
return new DataSourceTransactionManager(ds);
}*/
}
MybatisDatasource2Config.java
package com.zjt.config;
import com.zjt.util.MyMapper;
import org.apache.ibatis.session.SqlSessionFactory;
import org.mybatis.spring.SqlSessionFactoryBean;
import org.mybatis.spring.SqlSessionTemplate;
import org.mybatis.spring.annotation.MapperScan;
import org.springframework.beans.factory.annotation.Autowired;
import org.springframework.beans.factory.annotation.Qualifier;
import org.springframework.context.annotation.Bean;
import org.springframework.context.annotation.Configuration;
import org.springframework.core.io.support.PathMatchingResourcePatternResolver;
import org.springframework.core.io.support.ResourcePatternResolver;
import javax.sql.DataSource;
/**
* @author <a href="zhaojiatao"></a>
* @version 1.0, 2017/11/24
* @description
*/
@Configuration
// 精確到 mapper 目錄,以便跟其餘數據源隔離
@MapperScan(basePackages = "com.zjt.mapper2", markerInterface = MyMapper.class, sqlSessionFactoryRef = "sqlSessionFactory2")
public class MybatisDatasource2Config {
@Autowired
@Qualifier("businessDataSource")
private DataSource ds;
@Bean
public SqlSessionFactory sqlSessionFactory2() throws Exception {
SqlSessionFactoryBean factoryBean = new SqlSessionFactoryBean();
factoryBean.setDataSource(ds);
//指定mapper xml目錄
ResourcePatternResolver resolver = new PathMatchingResourcePatternResolver();
factoryBean.setMapperLocations(resolver.getResources("classpath:mapper2/*.xml"));
return factoryBean.getObject();
}
@Bean
public SqlSessionTemplate sqlSessionTemplate2() throws Exception {
SqlSessionTemplate template = new SqlSessionTemplate(sqlSessionFactory2()); // 使用上面配置的Factory
return template;
}
//關於事務管理器,不論是JPA仍是JDBC等都實現自接口 PlatformTransactionManager
// 若是你添加的是 spring-boot-starter-jdbc 依賴,框架會默認注入 DataSourceTransactionManager 實例。
//在Spring容器中,咱們手工註解@Bean 將被優先加載,框架不會從新實例化其餘的 PlatformTransactionManager 實現類。
/*@Bean(name = "transactionManager2")
@Primary
public DataSourceTransactionManager masterTransactionManager() {
//MyBatis自動參與到spring事務管理中,無需額外配置,只要org.mybatis.spring.SqlSessionFactoryBean引用的數據源
// 與DataSourceTransactionManager引用的數據源一致便可,不然事務管理會不起做用。
return new DataSourceTransactionManager(ds);
}*/
}
4、因爲咱們本例中只使用一個事務管理器: xatx,故就不在使用TxAdviceInterceptor.java和TxAdvice2Interceptor.java中配置的事務管理器了;有需求的童鞋能夠本身配置其餘的事務管理器;5、新建分佈式業務測試接口JtaTestService.java和實現類JtaTestServiceImpl.java其實就是一個很簡單的test01()方法,在該方法中咱們分別前後調用classService.saveOrUpdateTClass(tClass);和teacherService.saveOrUpdateTeacher(teacher);
實現前後操做兩個數據源:而後咱們能夠本身debug跟蹤事務的提交時機,此外,也能夠在在兩個方法全執行結束以後,手動製造一個運行時異常,來檢查分佈式事務是否所有回滾;
注意:
在實現類的方法中我使用的是:
@Transactional(transactionManager = "xatx", propagation = Propagation.REQUIRED, rollbackFor = { java.lang.RuntimeException.class })
從而指定了使用哪一個事務管理器,事務隔離級別(通常都用我這個默認的),回滾的條件(通常可使用Exception),這三個能夠本身根據業務實際修改;
package com.zjt.service3;
import java.util.Map;
public interface JtaTestService {
public Map<String,Object> test01();
}
package com.zjt.service3.impl;
import com.zjt.entity.TClass;
import com.zjt.entity.Teacher;
import com.zjt.service.TClassService;
import com.zjt.service2.TeacherService;
import com.zjt.service3.JtaTestService;
import org.springframework.beans.factory.annotation.Autowired;
import org.springframework.beans.factory.annotation.Qualifier;
import org.springframework.stereotype.Service;
import org.springframework.transaction.annotation.Propagation;
import org.springframework.transaction.annotation.Transactional;
import java.util.LinkedHashMap;
import java.util.Map;
@Service("jtaTestServiceImpl")
public class JtaTestServiceImpl implements JtaTestService{
@Autowired
@Qualifier("teacherServiceImpl")
private TeacherService teacherService;
@Autowired
@Qualifier("tclassServiceImpl")
private TClassService tclassService;
@Override
@Transactional(transactionManager = "xatx", propagation = Propagation.REQUIRED, rollbackFor = { java.lang.RuntimeException.class })
public Map<String, Object> test01() {
LinkedHashMap<String,Object> resultMap=new LinkedHashMap<String,Object>();
TClass tClass=new TClass();
tClass.setName("8888");
tclassService.saveOrUpdateTClass(tClass);
Teacher teacher=new Teacher();
teacher.setName("8888");
teacherService.saveOrUpdateTeacher(teacher);
System.out.println(1/0);
resultMap.put("state","success");
resultMap.put("message","分佈式事務同步成功");
return resultMap;
}
}
6、創建JtaTestContoller.java,接受一個來自前端的http請求,觸發JtaTestService 的test01方法:package com.zjt.web;
import com.zjt.service3.JtaTestService;
import org.springframework.beans.factory.annotation.Autowired;
import org.springframework.beans.factory.annotation.Qualifier;
import org.springframework.stereotype.Controller;
import org.springframework.web.bind.annotation.RequestMapping;
import org.springframework.web.bind.annotation.ResponseBody;
import java.util.LinkedHashMap;
import java.util.Map;
@Controller
@RequestMapping("/jtaTest")
public class JtaTestContoller {
@Autowired
@Qualifier("jtaTestServiceImpl")
private JtaTestService taTestService;
@ResponseBody
@RequestMapping("/test01")
public Map<String,Object> test01(){
LinkedHashMap<String,Object> resultMap=new LinkedHashMap<String,Object>();
try {
return taTestService.test01();
}catch (Exception e){
resultMap.put("state","fail");
resultMap.put("message","分佈式事務同步失敗");
return resultMap;
}
}
7、在test.ftl中增長一個按鈕來測試;//分佈式事務測試
$("#JTATest").click(function(){
$.ajax({
type: "POST",
url: "${basePath!}/jtaTest/test01",
data: {} ,
async: false,
error: function (request) {
layer.alert("與服務器鏈接失敗/(ㄒoㄒ)/~~");
return false;
},
success: function (data) {
if (data.state == 'fail') {
layer.alert(data.message);
return false;
}else if(data.state == 'success'){
layer.alert(data.message);
}
}
});
});
<button class="layui-btn" id="JTATest">同時向班級和老師表插入名爲8888的班級和老師</button>
拋出運行時異常,並被spring事務攔截器攔截,並捕獲異常:
9、後記:
本文源代碼:https://github.com/zhaojiatao/springboot-zjt-chapter10-springboot-atomikos-mysql-mybatis-druid.git
代碼在tomcat和jetty環境下都可完成事務回滾;
在事務回滾時可能報一個Transactional not active的警告,我google後,老外也說不出這個具體做用,大部分人認爲這只是一個警告,能夠忽略;你們誰懂得或者仔細翻閱源代碼後懂得的,能夠告訴我一下。謝謝
}