SpringBoot之使用Druid连接池以及SQL监控和spring监控

一、引入maven依赖

<dependencies>
        <dependency>
            <groupId>org.springframework.boot</groupId>
            <artifactId>spring-boot-starter-data-jpa</artifactId>
        </dependency>
        <dependency>
            <groupId>org.springframework.boot</groupId>
            <artifactId>spring-boot-starter-web</artifactId>
        </dependency>

        <dependency>
            <groupId>org.springframework.boot</groupId>
            <artifactId>spring-boot-devtools</artifactId>
            <scope>runtime</scope>
        </dependency>
    
        <dependency>
            <groupId>mysql</groupId>
            <artifactId>mysql-connector-java</artifactId>
            <scope>runtime</scope>
        </dependency>
        <dependency>
            <groupId>org.springframework.boot</groupId>
            <artifactId>spring-boot-starter-tomcat</artifactId>
            <scope>provided</scope>
        </dependency>
        <dependency>
            <groupId>org.springframework.boot</groupId>
            <artifactId>spring-boot-starter-test</artifactId>
            <scope>test</scope>
        </dependency>

        <dependency>
            <groupId>javax.servlet</groupId>
            <artifactId>javax.servlet-api</artifactId>
            <scope>provided</scope>
        </dependency>


        <dependency>
            <groupId>com.alibaba</groupId>
            <artifactId>druid</artifactId>
            <version>1.0.18</version>
        </dependency>
        <dependency>
            <groupId>org.mybatis.spring.boot</groupId>
            <artifactId>mybatis-spring-boot-starter</artifactId>
            <version>1.2.2</version>
        </dependency>
    </dependencies>

二、在application.properties配置文件中加入druid配置

##########################  mysql   ##########################
spring.datasource.url=jdbc:mysql://localhost/db_boot?useUnicode=true&characterEncoding=utf-8
spring.datasource.username=root
spring.datasource.password=
spring.datasource.driver-class-name=com.mysql.jdbc.Driver

logging.level.com.shyroke.mapper=debug


##########################  mybatis   ##########################
mybatis.mapper-locations=classpath:mybatis/*.xml

##########################  druid配置   ##########################
spring.datasource.type=com.alibaba.druid.pool.DruidDataSource

# 初始化大小，最小，最大  
spring.datasource.initialSize=5
spring.datasource.minIdle=5
spring.datasource.maxActive=20
# 配置获取连接等待超时的时间  
spring.datasource.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  
spring.datasource.timeBetweenEvictionRunsMillis=60000
# 配置一个连接在池中最小生存的时间，单位是毫秒  
spring.datasource.minEvictableIdleTimeMillis=300000
# 校验SQL，Oracle配置 spring.datasource.validationQuery=SELECT 1 FROM DUAL，如果不配validationQuery项，则下面三项配置无用  
spring.datasource.validationQuery=SELECT 'x'
spring.datasource.testWhileIdle=true
spring.datasource.testOnBorrow=false
spring.datasource.testOnReturn=false
# 打开PSCache，并且指定每个连接上PSCache的大小  
spring.datasource.poolPreparedStatements=true
spring.datasource.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  
spring.datasource.connectionProperties=druid.stat.mergeSql=true;druid.stat.slowSqlMillis=5000
# 合并多个DruidDataSource的监控数据  
spring.datasource.useGlobalDataSourceStat=true

三、配置webServlet

package com.shyroke.servlet;

import javax.servlet.annotation.WebInitParam;
import javax.servlet.annotation.WebServlet;

import com.alibaba.druid.support.http.StatViewServlet;
@WebServlet(urlPatterns = "/druid/*", 
    initParams={
//            @WebInitParam(name="allow",value="192.168.16.110,127.0.0.1"),// IP白名单 (没有配置或者为空，则允许所有访问)
//            @WebInitParam(name="deny",value="192.168.16.111"),// IP黑名单 (存在共同时，deny优先于allow)
            @WebInitParam(name="loginUsername",value="admin"),// 用户名
            @WebInitParam(name="loginPassword",value="admin"),// 密码
            @WebInitParam(name="resetEnable",value="false")// 禁用HTML页面上的“Reset All”功能
    })
public class DruidServlet extends StatViewServlet {

    /**
     * 
     */
    private static final long serialVersionUID = 1L;

}

四、配置webFitler

package com.shyroke.filter;

import javax.servlet.annotation.WebFilter;
import javax.servlet.annotation.WebInitParam;

import com.alibaba.druid.support.http.WebStatFilter;

@WebFilter(filterName="druidWebStatFilter",urlPatterns="/*",
initParams={
    @WebInitParam(name="exclusions",value="*.js,*.gif,*.jpg,*.bmp,*.png,*.css,*.ico,/druid/*")// 忽略资源
})
public class DruidFilter extends WebStatFilter {

}

五、扫描filter和servlet

@SpringBootApplication
@ServletComponentScan
@ImportResource(locations = { "classpath:druid-bean.xml" })
public class SpringbootMybatisDruidApplication {

    public static void main(String[] args) {
        SpringApplication.run(SpringbootMybatisDruidApplication.class, args);
    }
}

六、不使用spring boot自动配置功能，手动初始化DataSource

• 描如果不使用代码手动初始化DataSource的话，监控界面的SQL监控会没有数据("是spring boot的bug???") 
  

package com.shyroke.configuration;

import java.sql.SQLException;

import javax.sql.DataSource;

import org.springframework.beans.factory.annotation.Value;
import org.springframework.context.annotation.Bean;
import org.springframework.context.annotation.Configuration;
import org.springframework.context.annotation.Primary;

import com.alibaba.druid.pool.DruidDataSource;

@Configuration  
public class DruidConfigration {  
    @Value("${spring.datasource.url}")  
    private String dbUrl;  
    @Value("${spring.datasource.username}")  
    private String username;  
    @Value("${spring.datasource.password}")  
    private String password;  
    @Value("${spring.datasource.driver-class-name}")  
    private String driverClassName;  
    @Value("${spring.datasource.initialSize}")  
    private int initialSize;  
    @Value("${spring.datasource.minIdle}")  
    private int minIdle;  
    @Value("${spring.datasource.maxActive}")  
    private int maxActive;  
    @Value("${spring.datasource.maxWait}")  
    private int maxWait;  
    @Value("${spring.datasource.timeBetweenEvictionRunsMillis}")  
    private int timeBetweenEvictionRunsMillis;  
    @Value("${spring.datasource.minEvictableIdleTimeMillis}")  
    private int minEvictableIdleTimeMillis;  
    @Value("${spring.datasource.validationQuery}")  
    private String validationQuery;  
    @Value("${spring.datasource.testWhileIdle}")  
    private boolean testWhileIdle;  
    @Value("${spring.datasource.testOnBorrow}")  
    private boolean testOnBorrow;  
    @Value("${spring.datasource.testOnReturn}")  
    private boolean testOnReturn;  
    @Value("${spring.datasource.poolPreparedStatements}")  
    private boolean poolPreparedStatements;  
    @Value("${spring.datasource.maxPoolPreparedStatementPerConnectionSize}")  
    private int maxPoolPreparedStatementPerConnectionSize;  
    @Value("${spring.datasource.filters}")  
    private String filters;  
    @Value("${spring.datasource.connectionProperties}")  
    private String connectionProperties;  
    @Value("${spring.datasource.useGlobalDataSourceStat}")  
    private boolean useGlobalDataSourceStat;  
  
    @Bean     //声明其为Bean实例  
    @Primary  //在同样的DataSource中，首先使用被标注的DataSource  
    public DataSource dataSource(){  
        DruidDataSource datasource = new DruidDataSource();  
        datasource.setUrl(this.dbUrl);  
        datasource.setUsername(username);  
        datasource.setPassword(password);  
        datasource.setDriverClassName(driverClassName);  
  
        //configuration  
        datasource.setInitialSize(initialSize);  
        datasource.setMinIdle(minIdle);  
        datasource.setMaxActive(maxActive);  
        datasource.setMaxWait(maxWait);  
        datasource.setTimeBetweenEvictionRunsMillis(timeBetweenEvictionRunsMillis);  
        datasource.setMinEvictableIdleTimeMillis(minEvictableIdleTimeMillis);  
        datasource.setValidationQuery(validationQuery);  
        datasource.setTestWhileIdle(testWhileIdle);  
        datasource.setTestOnBorrow(testOnBorrow);  
        datasource.setTestOnReturn(testOnReturn);  
        datasource.setPoolPreparedStatements(poolPreparedStatements);  
        datasource.setMaxPoolPreparedStatementPerConnectionSize(maxPoolPreparedStatementPerConnectionSize);  
        datasource.setUseGlobalDataSourceStat(useGlobalDataSourceStat);  
        try {  
            datasource.setFilters(filters);  
        } catch (SQLException e) {  
            System.err.println("druid configuration initialization filter: "+ e);  
        }  
        datasource.setConnectionProperties(connectionProperties);  
        return datasource;  
    }  
}  

•  至此，SQL监控完成

八、spring监控之方法名正则匹配拦截配置

<?xml version="1.0" encoding="UTF-8"?>
<beans xmlns="http://www.springframework.org/schema/beans"
    xmlns:aop="http://www.springframework.org/schema/aop" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance"
    xsi:schemaLocation="
        http://www.springframework.org/schema/beans
        http://www.springframework.org/schema/beans/spring-beans.xsd
        http://www.springframework.org/schema/aop
        http://www.springframework.org/schema/aop/spring-aop.xsd">

    <!-- 配置_Druid和Spring关联监控配置 -->
    <bean id="druid-stat-interceptor"
        class="com.alibaba.druid.support.spring.stat.DruidStatInterceptor"></bean>

    <!-- 方法名正则匹配拦截配置 -->
    <bean id="druid-stat-pointcut" class="org.springframework.aop.support.JdkRegexpMethodPointcut"
        scope="prototype">
        <property name="patterns">
            <list>
                <value>com.shyroke.mapper.*</value>
            </list>
        </property>
    </bean>

    <aop:config proxy-target-class="true">
        <aop:advisor advice-ref="druid-stat-interceptor"
            pointcut-ref="druid-stat-pointcut" />
    </aop:config>

</beans>

 九、引入配置

@SpringBootApplication
@ServletComponentScan
@ImportResource(locations = { "classpath:druid-bean.xml" })
public class SpringbootMybatisDruidApplication {

    public static void main(String[] args) {
        SpringApplication.run(SpringbootMybatisDruidApplication.class, args);
    }
}

十、controller

package com.shyroke.controller;

import java.util.List;

import org.springframework.beans.factory.annotation.Autowired;
import org.springframework.stereotype.Controller;
import org.springframework.web.bind.annotation.RequestMapping;
import org.springframework.web.bind.annotation.ResponseBody;

import com.shyroke.bean.User;
import com.shyroke.mapper.UserMapper;

@Controller
@RequestMapping(value="/user")
public class UserController {

    @Autowired
    private UserMapper userMapper;
    
    @ResponseBody
    @RequestMapping(value="/get")
    public User get() {
        return userMapper.getOne(1);
    }
    
    @ResponseBody
    @RequestMapping(value="/list")
    public List<User> list() {
        return userMapper.list();
    }
    
    
}

十一、Mapper和mapper xml

package com.shyroke.mapper;

import java.util.List;

import org.apache.ibatis.annotations.Mapper;
import org.springframework.data.jpa.repository.JpaRepository;
import org.springframework.stereotype.Repository;

import com.shyroke.bean.User;

@Mapper
public interface UserMapper{

    List<User> list();

    User getOne(int id);
    
}

• 因为application.properties配置了mybatis.mapper-locations=classpath:mybatis/*.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.shyroke.mapper.UserMapper">

    <resultMap type="com.shyroke.bean.User" id="userMap">
        <id column="id" property="id" />
        <result column="user_name" property="userName" />
        <result column="pass_word" property="passWord" />
        <result column="date" property="date" />
    </resultMap>

    <select id="list" resultMap="userMap">
        select * from users
    </select>

    <select id="getOne" parameterType="java.lang.Integer" resultMap="userMap">
        select * from users where id=#{id}
    </select>

</mapper>

 十二、测试

• 先访问“http://localhost:8080/user/list”，再查看SQL监控和spring监控