SpringBoot使用Druid连接池的配置

1.在pom.xml文件中引入相关依赖

       <!--适当修改mysql驱动版本，采用5.0.4-->        
        <dependency>
            <groupId>mysql</groupId>
            <artifactId>mysql-connector-java</artifactId>
            <scope>runtime</scope>
            <version>5.0.4</version>
        </dependency>
        <dependency>
            <groupId>com.alibaba</groupId>
            <artifactId>druid</artifactId>
            <version>1.1.9</version>
        </dependency>
        <dependency>
            <groupId>log4j</groupId>
            <artifactId>log4j</artifactId>
            <version>1.2.17</version>
        </dependency>

2.创建log4j.properties文件

# Global logging configuration
log4j.rootLogger=DEBUG, stdout
# Console output...
log4j.appender.stdout=org.apache.log4j.ConsoleAppender
log4j.appender.stdout.layout=org.apache.log4j.PatternLayout
log4j.appender.stdout.layout.ConversionPattern=%5p [%t] - %m%n

3.创建配置文件db.properties

# 驱动配置信息
spring.datasource.type=com.alibaba.druid.pool.DruidDataSource
spring.datasource.url=jdbc:mysql://localhost:3306/dbname?useUnicode=true&characterEncoding=utf8
#oracle的url案例
#spring.datasource.url=jdbc:oracle:thin:@localhost:1521/orcl
#配置数据库用户名
spring.datasource.username=root
#配置数据库密码
spring.datasource.password=root
spring.datasource.driverClassName=com.mysql.jdbc.Driver
#oracle的driverClassName
#spring.datasource.driverClassName=oracle.jdbc.driver.OracleDriver
# 连接池的配置信息
# 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
 

4.增加配置文件MyDruidConfig

import com.alibaba.druid.pool.DruidDataSource;
import com.alibaba.druid.support.http.StatViewServlet;
import com.alibaba.druid.support.http.WebStatFilter;
import org.springframework.beans.factory.annotation.Value;
import org.springframework.boot.web.servlet.FilterRegistrationBean;
import org.springframework.boot.web.servlet.ServletRegistrationBean;
import org.springframework.context.annotation.Bean;
import org.springframework.context.annotation.Configuration;
import org.springframework.context.annotation.Primary;
import org.springframework.context.annotation.PropertySource;

import javax.sql.DataSource;
import java.sql.SQLException;
import java.util.HashMap;
import java.util.Map;

/**
 * Druid连接池的配置
 */
@Configuration
//value值与src/main/resource目录下数据库的配置文件名对应
@PropertySource(value = { "classpath:application-mysql.properties" })
public class MyDruidConfig {

    @Value("${spring.datasource.url}")
    private String dbUrl;

    @Value("${spring.datasource.username}")
    private String username;

    @Value("${spring.datasource.password}")
    private String password;

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

    @Value("{spring.datasource.connectionProperties}")
    private String connectionProperties;

    @Bean(initMethod = "init",destroyMethod = "close")
    @Primary  //在同样的DataSource中，首先使用被标注的DataSource
    public DataSource getDataSource() {
        DruidDataSource datasource = new DruidDataSource();
        datasource.setUrl(dbUrl);
        datasource.setUsername(username);
        datasource.setPassword(password);
        datasource.setDriverClassName(driverClassName);
        datasource.setInitialSize(initialSize);
        datasource.setMinIdle(minIdle);
        datasource.setMaxActive(maxActive);
        datasource.setMaxWait(maxWait);
        try {
            datasource.setFilters(filters);
        } catch (SQLException e) {
            e.printStackTrace();
        }
        datasource.setConnectionProperties(connectionProperties);

        return datasource;
    }

    @Bean
    public ServletRegistrationBean druidServlet() {
        ServletRegistrationBean servletRegistrationBean = new ServletRegistrationBean();
        servletRegistrationBean.setServlet(new StatViewServlet());
        servletRegistrationBean.addUrlMappings("/druid/*");
        Map<String, String> initParameters = new HashMap<String, String>();
        //配置登录druid后台监控的用户名和密码（可以不配置）
        initParameters.put("loginUsername", "admin");// 用户名
        initParameters.put("loginPassword", "admin");// 密码
        initParameters.put("allow", ""); // IP白名单 (没有配置或者为空，则允许所有访问)
        //initParameters.put("deny", "192.168.20.38");// IP黑名单 (存在共同时，deny优先于allow)
        servletRegistrationBean.setInitParameters(initParameters);
        return servletRegistrationBean;
    }

    @Bean
    public FilterRegistrationBean filterRegistrationBean() {
        FilterRegistrationBean filterRegistrationBean = new FilterRegistrationBean();
        filterRegistrationBean.setFilter(new WebStatFilter());
        filterRegistrationBean.addUrlPatterns("/*");
        filterRegistrationBean.addInitParameter("exclusions", "*.js,*.gif,*.jpg,*.png,*.css,*.ico,/druid/*");
        return filterRegistrationBean;
    }

}
 

5.最后可以使用druid提供的监控工具

访问http://localhost:8080/druid/，出现如下页面，输入用户名和密码，配置类中配置的用户名为admin、密码为admin，