(二十二)SpringBoot之使用Druid连接池以及SQL监控和spring监控

时间:2023-03-09 16:10:48
(二十二)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

(二十二)SpringBoot之使用Druid连接池以及SQL监控和spring监控

<?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

(二十二)SpringBoot之使用Druid连接池以及SQL监控和spring监控

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

(二十二)SpringBoot之使用Druid连接池以及SQL监控和spring监控

(二十二)SpringBoot之使用Druid连接池以及SQL监控和spring监控

(二十二)SpringBoot之使用Druid连接池以及SQL监控和spring监控