SpringBoot整合Druid数据库连接池

1、pom文件添加依赖：

<dependency>
    <groupId>com.alibaba</groupId>
    <artifactId>druid</artifactId>
    <version>1.1.10</version>
</dependency>

2、application.yum添加相关配置信息

spring
	datasource:
		driver-class-name:com.mysql.jdbc.driver
		url:jdbc:mysql://localhost:3306/test
		username:root
		password:root
		type: com.alibaba.druid.pool.DruidDataSource
	druid:
	filters:stat #配置扩展插件，常用的插件有=>stat:监控统计  log4j:日志  wall:防御sql注入
	maxActive:20 #最大连接池数量
	initialSize: 10 #初始化连接大小
    maxWait: 60000  #获取连接时最大等待时间，单位毫秒
    minIdle: 1 #最小连接池数量
    timeBetweenEvictionRunsMillis: 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
    minEvictableIdleTimeMillis: 30000 #配置一个连接在池中最小生存的时间，单位是毫秒
    validationQuery: select 'x' #测试连接
    testWhileIdle: true #申请连接的时候检测
    testOnBorrow: false #获取连接时执行检测
    testOnReturn: false #归还连接时执行检测
    poolPreparedStatements: true #是否开启PSCache
    maxOpenPreparedStatments: 20
    maxPoolPreparedStatementPerConnectionSize: 20 #开启poolPreparedStatements后生效
    connectionProperties: 'druid.stat.mergeSql=true;druid.stat.slowSqlMillis=5000' #通过connectProperties属性来打开mergeSql功能;慢SQL记录

3、添加配置类：

import java.sql.SQLException;
import javax.sql.DataSource;
import org.springframework.beans.factory.annotation.Value;
import org.springframework.boot.context.embedded.FilterRegistrationBean;
import org.springframework.boot.context.embedded.ServletRegistrationBean;
import org.springframework.context.annotation.Bean;
import org.springframework.context.annotation.Configuration;
import org.springframework.context.annotation.Primary;
import com.alibaba.druid.pool.DruidDataSource;
import com.alibaba.druid.support.http.StatViewServlet;
import com.alibaba.druid.support.http.WebStatFilter;

@Configuration
public class DruidConfiguration {
    
    @Value("${spring.datasource.url}")
    private String url;

    @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.druid.initialSize}")
    private int initialSize;

    @Value("${spring.druid.minIdle}")
    private int minIdle;

    @Value("${spring.druid.maxActive}")
    private int maxActive;

    @Value("${spring.druid.maxWait}")
    private int maxWait;

    @Value("${spring.druid.timeBetweenEvictionRunsMillis}")
    private int timeBetweenEvictionRunsMillis;

    @Value("${spring.druid.minEvictableIdleTimeMillis}")
    private int minEvictableIdleTimeMillis;

    @Value("${spring.druid.validationQuery}")
    private String validationQuery;

    @Value("${spring.druid.testWhileIdle}")
    private boolean testWhileIdle;

    @Value("${spring.druid.testOnBorrow}")
    private boolean testOnBorrow;

    @Value("${spring.druid.testOnReturn}")
    private boolean testOnReturn;

    @Value("${spring.druid.poolPreparedStatements}")
    private boolean poolPreparedStatements;

    @Value("${spring.druid.maxPoolPreparedStatementPerConnectionSize}")
    private int maxPoolPreparedStatementPerConnectionSize;

    @Value("${spring.druid.filters}")
    private String filters;

    @Value("{spring.druid.connectionProperties}")
    private String connectionProperties;
    
    @Bean
    @Primary
    public DataSource dataSource() {
        DruidDataSource datasource = new DruidDataSource();

        datasource.setUrl(url);
        datasource.setUsername(username);
        datasource.setPassword(password); 
        datasource.setDriverClassName(driverClassName);


        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);
        try {
            datasource.setFilters(filters);
        } catch (SQLException e) {

        }
        datasource.setConnectionProperties(connectionProperties);

        return datasource;
    }

    @Bean
    public ServletRegistrationBean statViewServlet(){
        ServletRegistrationBean servletRegistrationBean = new ServletRegistrationBean(new StatViewServlet(),"/druid/*");
        servletRegistrationBean.addInitParameter("allow","127.0.0.1");  //设置ip白名单
       //servletRegistrationBean.addInitParameter("deny","x.x.x.x");//设置ip黑名单，优先级高于白名单
        //设置控制台管理用户
        servletRegistrationBean.addInitParameter("loginUsername","root");
        servletRegistrationBean.addInitParameter("loginPassword","root");
        //是否可以重置数据
        servletRegistrationBean.addInitParameter("resetEnable","false");
        return servletRegistrationBean;
    }

    @Bean
    public FilterRegistrationBean statFilter(){
        //创建过滤器
        FilterRegistrationBean filterRegistrationBean = new FilterRegistrationBean(new WebStatFilter());
        //设置过滤器过滤路径
        filterRegistrationBean.addUrlPatterns("/*");
        //忽略过滤的形式
        filterRegistrationBean.addInitParameter("exclusions","*.js,*.gif,*.jpg,*.png,*.css,*.ico,/druid/*");
        return filterRegistrationBean;
    }
}

4、测试
浏览器输入：localhost:9999/druid/index.html
效果如图：

用户名和密码去DruidConfiguration类的statViewServlet中查看。