Spring Boot之使用Druid连接池以及SQL监控和spring监控-博客-最代码

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低调人 2018-07-06 15:53:45

Spring Boot之使用Druid连接池以及SQL监控和spring监控

废话不多说!直接上代码

一、引入maven依赖包

<?xml version="1.0" encoding="UTF-8"?>
<project xmlns="http://maven.apache.org/POM/4.0.0" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance"
	xsi:schemaLocation="http://maven.apache.org/POM/4.0.0 http://maven.apache.org/xsd/maven-4.0.0.xsd">
	<modelVersion>4.0.0</modelVersion>

	<groupId>com.cicoding.druid</groupId>
	<artifactId>springboot_druid</artifactId>
	<version>0.0.1-SNAPSHOT</version>
	<packaging>war</packaging>

	<name>springboot_druid</name>
	<description>Demo project for Spring Boot</description>

	<parent>
		<groupId>org.springframework.boot</groupId>
		<artifactId>spring-boot-starter-parent</artifactId>
		<version>1.5.9.RELEASE</version>
		<relativePath /> <!-- lookup parent from repository -->
	</parent>

	<properties>
		<project.build.sourceEncoding>UTF-8</project.build.sourceEncoding>
		<project.reporting.outputEncoding>UTF-8</project.reporting.outputEncoding>
		<java.version>1.8</java.version>
	</properties>

	<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>

	<build>
		<plugins>
			<plugin>
				<groupId>org.springframework.boot</groupId>
				<artifactId>spring-boot-maven-plugin</artifactId>
			</plugin>
		</plugins>
	</build>
</project>

二、在application.properties配置文件中添加druid配置

##########################  mysql   ##########################
spring.datasource.url=jdbc:mysql://localhost:3306/test?useUnicode=true&characterEncoding=utf-8
spring.datasource.username=root
spring.datasource.password=root
spring.datasource.driver-class-name=com.mysql.jdbc.Driver

logging.level.com.cicoding.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druid连接池的webServlet

package com.cicoding.servlet;

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

import com.alibaba.druid.support.http.StatViewServlet;
@WebServlet(urlPatterns = "/druid/*", 
    initParams={
            @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Druid连接池webFitler

package com.cicoding.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

package com.cicoding;

import org.springframework.boot.SpringApplication;
import org.springframework.boot.autoconfigure.SpringBootApplication;
import org.springframework.boot.web.servlet.ServletComponentScan;
import org.springframework.context.annotation.ImportResource;

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

	public static void main(String[] args) {
		SpringApplication.run(DruidApplication.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.cicoding.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;  
    }  
}

八、spring监控之方法名正则匹配拦截配置druid-bean.xml

<?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.cicoding.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xml

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

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

十、controller配置

package com.cicoding.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.cicoding.bean.User;
import com.cicoding.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的dao接口和mapper xml配置

Mapper接口

package com.cicoding.mapper;
import java.util.List;
import org.apache.ibatis.annotations.Mapper;
import com.cicoding.bean.User;
@Mapper
public interface UserMapper{
	List<User> list();
	User getOne(int id);
}

mapper xml配置

因为application.properties配置了mybatis.mapper-locations=classpath:mybatis/*.xml
放在mybatis目录下扫描

<?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.cicoding.mapper.UserMapper">

	<resultMap type="com.cicoding.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

大功搞成！

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