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：