SpringBoot学习:整合MyBatis,使用Druid连接池
项目下载地址:http://download.csdn.NET/detail/aqsunkai/9805821
(一)添加pom依赖:
<!-- https://mvnrepository.com/artifact/org.mybatis.spring.boot/mybatis-spring-boot-starter --> <dependency> <groupId>org.mybatis.spring.boot</groupId> <artifactId>mybatis-spring-boot-starter</artifactId> <version>1.2.0</version> </dependency> <!-- https://mvnrepository.com/artifact/mysql/mysql-connector-java --> <dependency> <groupId>mysql</groupId> <artifactId>mysql-connector-java</artifactId> <version>6.0.6</version> </dependency> <!-- https://mvnrepository.com/artifact/com.alibaba/druid --> <dependency> <groupId>com.alibaba</groupId> <artifactId>druid</artifactId> <version>1.0.29</version> </dependency>
(二)项目结构如下:
mapper接口在java目录下,相应的写sql语句的xml在resource目录下,在Application启动类中加入注解:
@ServletComponentScan @MapperScan("com.sun.**.mapper") //配置扫描mapper接口的地址
@ServletComponentScan 设置启动时spring能够扫描到我们自己编写的servlet和filter, 用于Druid监控
@MapperScan 用于扫描的mapper接口
在配置文件中加入:
# mybatis_config mybatis: mapper-locations: classpath:mapper/**/*.xml #datasource spring: datasource: name: era url: jdbc:mysql://localhost:3306/spring_boot?useUnicode=true&characterEncoding=UTF-8&useJDBCCompliantTimezoneShift=true&useLegacyDatetimeCode=false&serverTimezone=UTC username: root password: 123456 # 使用druid数据源 type: com.alibaba.druid.pool.DruidDataSource driver-class-name: com.mysql.cj.jdbc.Driver # 下面为连接池的补充设置,应用到上面所有数据源中 # 初始化大小,最小,最大 initialSize: 5 minIdle: 5 maxActive: 20 # 配置获取连接等待超时的时间 maxWait: 60000 # 配置间隔多久才进行一次检测,检测需要关闭的空闲连接,单位是毫秒 timeBetweenEvictionRunsMillis: 60000 # 配置一个连接在池中最小生存的时间,单位是毫秒 minEvictableIdleTimeMillis: 300000 validationQuery: SELECT 1 FROM DUAL testWhileIdle: true testOnBorrow: false testOnReturn: false # 打开PSCache,并且指定每个连接上PSCache的大小 poolPreparedStatements: true maxPoolPreparedStatementPerConnectionSize: 20 # 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.filters: stat,wall,log4j # 通过connectProperties属性来打开mergeSql功能;慢SQL记录 connectionProperties: druid.stat.mergeSql=true;druid.stat.slowSqlMillis=5000 # 合并多个DruidDataSource的监控数据 #useGlobalDataSourceStat: true
用于扫描mybatis的映射文件xml,和加载连接池
日志文件中加入:
<!--输出sql语句--> <logger name="com.sun" level="debug" />
用于在控制台打印sql语句
DataSource的配置启动管理类如下:
package com.sun.configuration; import com.alibaba.druid.pool.DruidDataSource; import com.alibaba.druid.support.http.StatViewServlet; import com.alibaba.druid.support.http.WebStatFilter; import com.alibaba.druid.support.spring.stat.DruidStatInterceptor; import org.springframework.aop.framework.autoproxy.BeanNameAutoProxyCreator; import org.springframework.boot.bind.RelaxedPropertyResolver; import org.springframework.boot.web.servlet.FilterRegistrationBean; import org.springframework.boot.web.servlet.ServletRegistrationBean; import org.springframework.context.EnvironmentAware; import org.springframework.context.annotation.Bean; import org.springframework.context.annotation.Configuration; import org.springframework.core.env.Environment; import org.springframework.transaction.annotation.EnableTransactionManagement; import javax.sql.DataSource; import java.sql.SQLException; import java.util.HashMap; import java.util.Map; @Configuration @EnableTransactionManagement /** * Druid的DataResource配置类 * 凡是被Spring管理的类,实现接口 EnvironmentAware 重写方法 setEnvironment 可以在工程启动时, * 获取到系统环境变量和application配置文件中的变量。 还有一种方式是采用注解的方式获取 @value("${变量的key值}") * 获取application配置文件中的变量。 这里采用第一种要方便些 * Created by sun on 2017-1-20. */ public class DruidDataSourceConfig implements EnvironmentAware { private RelaxedPropertyResolver propertyResolver; public void setEnvironment(Environment env) { this.propertyResolver = new RelaxedPropertyResolver(env, "spring.datasource."); } @Bean public DataSource dataSource() { DruidDataSource datasource = new DruidDataSource(); datasource.setUrl(propertyResolver.getProperty("url")); datasource.setDriverClassName(propertyResolver.getProperty("driver-class-name")); datasource.setUsername(propertyResolver.getProperty("username")); datasource.setPassword(propertyResolver.getProperty("password")); datasource.setInitialSize(Integer.valueOf(propertyResolver.getProperty("initialSize"))); datasource.setMinIdle(Integer.valueOf(propertyResolver.getProperty("minIdle"))); datasource.setMaxWait(Long.valueOf(propertyResolver.getProperty("maxWait"))); datasource.setMaxActive(Integer.valueOf(propertyResolver.getProperty("maxActive"))); datasource.setMinEvictableIdleTimeMillis( Long.valueOf(propertyResolver.getProperty("minEvictableIdleTimeMillis"))); try { datasource.setFilters("stat,wall"); } catch (SQLException e) { e.printStackTrace(); } return datasource; } @Bean public ServletRegistrationBean druidServlet() { ServletRegistrationBean servletRegistrationBean = new ServletRegistrationBean(); servletRegistrationBean.setServlet(new StatViewServlet()); servletRegistrationBean.addUrlMappings("/druid/*"); Map<String, String> initParameters = new HashMap<String, String>(); // initParameters.put("loginUsername", "druid");// 用户名 // initParameters.put("loginPassword", "druid");// 密码 initParameters.put("resetEnable", "false");// 禁用HTML页面上的“Reset All”功能 initParameters.put("allow", "127.0.0.1"); // IP白名单 (没有配置或者为空,则允许所有访问) // initParameters.put("deny", "192.168.20.38");// IP黑名单 // (存在共同时,deny优先于allow) servletRegistrationBean.setInitParameters(initParameters); return servletRegistrationBean; } @Bean public FilterRegistrationBean filterRegistrationBean() { FilterRegistrationBean filterRegistrationBean = new FilterRegistrationBean(); filterRegistrationBean.setFilter(new WebStatFilter()); filterRegistrationBean.addUrlPatterns("/*"); filterRegistrationBean.addInitParameter("exclusions", "*.js,*.gif,*.jpg,*.bmp,*.png,*.css,*.ico,/druid/*"); return filterRegistrationBean; } // 按照BeanId来拦截配置 用来bean的监控 @Bean(value = "druid-stat-interceptor") public DruidStatInterceptor DruidStatInterceptor() { DruidStatInterceptor druidStatInterceptor = new DruidStatInterceptor(); return druidStatInterceptor; } @Bean public BeanNameAutoProxyCreator beanNameAutoProxyCreator() { BeanNameAutoProxyCreator beanNameAutoProxyCreator = new BeanNameAutoProxyCreator(); beanNameAutoProxyCreator.setProxyTargetClass(true); // 设置要监控的bean的id //beanNameAutoProxyCreator.setBeanNames("sysRoleMapper","loginController"); beanNameAutoProxyCreator.setInterceptorNames("druid-stat-interceptor"); return beanNameAutoProxyCreator; } }
后台执行在控制台上输出:
2017-04-07 21:25:15.904 INFO 10500 --- [io-8080-exec-10] c.s.p.controller.UserController : 哈哈哈 2017-04-07 21:25:15.908 DEBUG 10500 --- [io-8080-exec-10] c.s.p.m.UserMapper.selectByPrimaryKey : ==> Preparing: select id, nickname, email, pswd, create_time, last_login_time, status from sys_user where id = ? 2017-04-07 21:25:15.911 DEBUG 10500 --- [io-8080-exec-10] c.s.p.m.UserMapper.selectByPrimaryKey : ==> Parameters: 1(Integer) 2017-04-07 21:25:15.918 DEBUG 10500 --- [io-8080-exec-10] c.s.p.m.UserMapper.selectByPrimaryKey : <== Total: 1 2017-04-07 21:25:15.920 INFO 10500 --- [io-8080-exec-10] c.s.p.controller.UserController : admin
在页面上输入http://localhost:8080/boot/druid/可以看到监控到的sql语句执行情况: