SpringBoot整合阿里雲連接池druid

前言：墨禪項目第二步，創建連接池，如果有需要查看idea創建springbootmaven項目，請跳轉至：使用IntelliJ IDEA創建一個Maven的springboot項目

廢話不多說，開始今天的正文。
1.本系統採用maven管理包，因此本文需要導入maven管理包，本文使用包如下：

        <dependency>
            <groupId>org.springframework.boot</groupId>
            <artifactId>spring-boot-starter-web</artifactId>
        </dependency>
        <dependency>
            <groupId>org.springframework.boot</groupId>
            <artifactId>spring-boot-starter-data-jpa</artifactId>
        </dependency>
        <dependency>
            <groupId>org.springframework.boot</groupId>
            <artifactId>spring-boot-starter-tomcat</artifactId>
        </dependency>
        <dependency>
            <groupId>mysql</groupId>
            <artifactId>mysql-connector-java</artifactId>
            <version>8.0.11</version>
        </dependency>
        <dependency>
            <groupId>org.springframework.boot</groupId>
            <artifactId>spring-boot-devtools</artifactId>
            <optional>true</optional> <!-- 表示依賴不會傳遞 -->
            <scope>true</scope>
            <!--<scope>runtime</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>
            <version>3.1.0</version>
            <!--<scope>provided</scope>-->
        </dependency>
        <dependency>
            <groupId>com.alibaba</groupId>
            <artifactId>druid</artifactId>
            <version>1.1.18</version>
        </dependency>
        <dependency>
            <groupId>org.mybatis.spring.boot</groupId>
            <artifactId>mybatis-spring-boot-starter</artifactId>
            <version>1.3.1</version>
        </dependency>
        <dependency>
            <groupId>log4j</groupId>
            <artifactId>log4j</artifactId>
            <version>1.2.16</version>
            <scope>compile</scope>
        </dependency>

2.創建配置文件，本文采用.properties配置文件

release.url=localhost
server.port=8080
##########################  mysql   ##########################
#spring.datasource.url=jdbc:mysql://localhost/mo-zen
#spring.datasource.username=root
#spring.datasource.password=root
#spring.datasource.driver-class-name=com.mysql.cj.jdbc.Driver
        
logging.level.com.shyroke.mapper=debug

##########################  mybatis   ##########################
mybatis.mapper-locations=classpath:com/mozen/mapper/*.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
# 配置獲取連接等待超時的時間
spring.datasource.maxWait=60000
# 配置間隔多久才進行一次檢測，檢測需要關閉的空閒連接，單位是毫秒
spring.datasource.timeBetweenEvictionRunsMillis=60000
# 配置一個連接在池中最小生存的時間，單位是毫秒
spring.datasource.minEvictableIdleTimeMillis=300000
# 校驗SQL，Oracle配置 spring.datasource.validationQuery=SELECT 1 FROM DUAL，如果不配validationQuery項，則下面三項配置無用
spring.datasource.validationQuery=SELECT 'x'
spring.datasource.testWhileIdle=true
spring.datasource.testOnBorrow=false
spring.datasource.testOnReturn=false
# 打開PSCache，並且指定每個連接上PSCache的大小
spring.datasource.poolPreparedStatements=true
spring.datasource.maxPoolPreparedStatementPerConnectionSize=20
# 配置監控統計攔截的filters，去掉後監控界面sql無法統計，'wall'用於防火牆
spring.datasource.filters=stat,wall,log4j
# 通過connectProperties屬性來打開mergeSql功能；慢SQL記錄
spring.datasource.connectionProperties=druid.stat.mergeSql=true;druid.stat.slowSqlMillis=5000
# 合併多個DruidDataSource的監控數據
spring.datasource.useGlobalDataSourceStat=true

3.創建配置文件，掃描dao層，文件名：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關聯監控配置 -->
    <bean id="druid-stat-interceptor"
          class="com.alibaba.druid.support.spring.stat.DruidStatInterceptor"></bean>

    <!-- 方法名正則匹配攔截配置 -->
    <bean id="druid-stat-pointcut" class="org.springframework.aop.support.JdkRegexpMethodPointcut" scope="prototype">
        <property name="patterns">
            <list>
                <value>com.mozen.dao.*</value>
            </list>
        </property>
    </bean>
<!--idea中druid-stat-pointcut會報Cannot resolve Spring Pointcut 'druid-stat-pointcut'錯誤，這個不用理會 -->
    <aop:config proxy-target-class="true">
        <aop:advisor advice-ref="druid-stat-interceptor" pointcut-ref="druid-stat-pointcut"/>
    </aop:config>

</beans>

4.創建攔截器、連接池配置、過濾器
a.配置類DruidConfigration

package com.mozen.config;

import com.alibaba.druid.pool.DruidDataSource;
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 javax.sql.DataSource;
import java.sql.SQLException;

@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     //聲明其爲Bean實例
    @Primary  //在同樣的DataSource中，首先使用被標註的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;
    }
}

b.過濾器DruidFilter

package com.mozen.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/*")// 忽略資源
        })
public class DruidFilter extends WebStatFilter {

}

c.攔截器DruidServlet

package com.mozen.source;


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

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

@WebServlet(urlPatterns = "/druid/*",
        initParams = {
//            @WebInitParam(name="allow",value="192.168.16.110,127.0.0.1"),// IP白名單 (沒有配置或者爲空，則允許所有訪問)
//            @WebInitParam(name="deny",value="192.168.16.111"),// IP黑名單 (存在共同時，deny優先於allow)
                @WebInitParam(name = "loginUsername", value = "admin"),// 用戶名
                @WebInitParam(name = "loginPassword", value = "admin"),// 密碼
//                @WebInitParam(name = "resetEnable", value = "false")// 禁用HTML頁面上的“Reset All”功能
        })
public class DruidServlet extends StatViewServlet {

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

}

5.配置啓動類，添加註解

package com.mozen;

import org.springframework.boot.SpringApplication;
import org.springframework.boot.autoconfigure.SpringBootApplication;
import org.springframework.boot.web.servlet.ServletComponentScan;
import org.springframework.cache.annotation.EnableCaching;
import org.springframework.context.annotation.EnableMBeanExport;
import org.springframework.context.annotation.ImportResource;
import org.springframework.jmx.support.RegistrationPolicy;
import org.springframework.scheduling.annotation.EnableScheduling;

@SpringBootApplication
@ServletComponentScan
@EnableMBeanExport(registration = RegistrationPolicy.IGNORE_EXISTING)
@EnableScheduling
@EnableCaching
@ImportResource(locations = { "classpath:druid-bean.xml" })
public class MozenApplication {
    public static void main(String[] args) {
        SpringApplication.run(MozenApplication.class, args);
    }
}

到此爲止，druid相關配置已經完成，下面就是檢驗成果的時候了。

1.創建controller

package com.mozen.controller;

import com.mozen.bean.DataBean;
import com.mozen.service.TestDataService;
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 java.util.List;

@Controller
@RequestMapping("/dataController")
public class DataTestController {
    @Autowired
    private TestDataService testDataService;

    @ResponseBody
    @RequestMapping("/list")
    public List<DataBean> test() {
        List<DataBean> list = testDataService.list();
        return list;
    }
}

2.創建service層

package com.mozen.service;

import com.mozen.bean.DataBean;
import com.mozen.dao.TestDataDao;
import org.springframework.beans.factory.annotation.Autowired;
import org.springframework.stereotype.Service;

import java.util.List;

@Service
public class TestDataService {
    @Autowired
    private TestDataDao testDataDao;

    /**
     * 查詢所有數據
     * @return
     */
    public List<DataBean> list(){
        return testDataDao.list();
    }
}

3.創建dao層

package com.mozen.dao;

import com.mozen.bean.DataBean;
import org.springframework.stereotype.Component;
import org.apache.ibatis.annotations.Mapper;

import java.util.List;

@Component
@Mapper
public interface TestDataDao {
    List<DataBean> list();
}

4.創建bean

package com.mozen.bean;


public class DataBean {
    private int id;
    private String name;

    public int getId() {
        return id;
    }

    public void setId(int id) {
        this.id = id;
    }

    public String getName() {
        return name;
    }

    public void setName(String name) {
        this.name = name;
    }
}

5.創建xml文件，xml文件包路徑

<?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.mozen.dao.TestDataDao">

    <resultMap type="com.mozen.bean.DataBean" id="testMap">
        <id column="id" property="id" />
        <result column="name" property="name" />
    </resultMap>

    <select id="list" resultMap="testMap">
        select * from MO_TEST
    </select>
</mapper>

到此爲止，整個過程已全部完畢，下面，來看一下效果。
打開瀏覽器，輸入：http://localhost:8080/druid/login.html

測試系統查詢接口：http://localhost:8080/dataController/list

查看鏈接池：

到此爲止，整個過程已全部完畢，文檔略顯粗糙，如有錯誤請及時指正，如有需要系統源碼着可聯繫本人獲取。本人郵箱：[email protected]