SpringBoot2 使用 Druid的数据库连接池并使用监控

SpringBoot2 使用 Druid的数据库连接池并使用监控

首先引入pom文件

	<!--引入自定义的数据源-->
<dependencies>
	<dependency>
		<groupId>com.alibaba</groupId>
		<artifactId>druid</artifactId>
		<version>1.1.9</version>
	</dependency>
	<dependency>
		<groupId>org.springframework.boot</groupId>
		<artifactId>spring-boot-starter-jdbc</artifactId>
	</dependency>
	<dependency>
		<groupId>org.springframework.boot</groupId>
		<artifactId>spring-boot-starter-web</artifactId>
	</dependency>
	<dependency>
		<groupId>mysql</groupId>
		<artifactId>mysql-connector-java</artifactId>
		<scope>runtime</scope>
	</dependency>
	<dependency>
		<groupId>org.springframework.boot</groupId>
		<artifactId>spring-boot-starter-test</artifactId>
		<scope>test</scope>
	</dependency>
</dependencies>

配置Application.yml文件

spring:
  datasource:
    username: root
    password: 123456
    url: jdbc:mysql://127.0.0.1:3306/jdbc?useUnicode=true&characterEncoding=utf-8&useSSL=true
    driver-class-name: com.mysql.jdbc.Driver
    type: com.alibaba.druid.pool.DruidDataSource
    # 配置Druid的其他参数，以下配置必须增加一个配置文件才能有效
    # 初始化大小，最小，最大
    initialSize: 5
    minIdle: 5
    maxActive: 20
    # 获取连接等待超时的时间
    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
    timeBetweenEvictionRunsMillis: 60000
    # 配置一个连接在池中最小生存的时间，单位是毫秒
    minEvictableIdleTimeMillis: 300000
    validationQuery: SELECT 1 FROM DUAL
    testWhileIdle: true
    testOnBorrow: false
    testOnReturn: false
    poolPreparedStatements: true
    # 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
    filters: stat, wall
    # 打开PSCache，并且指定每个连接上PSCache的大小
    maxPoolPreparedStatementPerConnectionSize: 20
    # 通过connectProperties属性来打开mergeSql功能；慢SQL记录
    connectionProperties: 		druid.stat.mergeSql=true;druid.stat.slowSqlMillis=500
    # 合并多个DruidDataSource的监控数据
    useGlobalDataSourceStat: true

配置Druid的数据库连接池,并切添加到bean中,配置filter和Servlet

//配置Druid的监控
//1、配置一个管理后台的Servlet
@Configuration
public class DruidConfig {

@Bean
@ConfigurationProperties(prefix = "spring.datasource")
public DataSource druid(){
		return new DruidDataSource();
}
@Bean
public ServletRegistrationBean statViewServlet(){
	ServletRegistrationBean bean = new ServletRegistrationBean(new StatViewServlet(), "/druid/*");
	Map<String,String> initParams = new HashMap<>();
	initParams.put("loginUsername","admin");
	initParams.put("loginPassword","123456");
	initParams.put("allow","");//默认就是允许所有访问
	initParams.put("deny","192.168.15.21");
	bean.setInitParameters(initParams);
	return bean;
}

//2、配置一个web监控的filter
@Bean
public FilterRegistrationBean webStatFilter(){
	FilterRegistrationBean bean = new FilterRegistrationBean();
	bean.setFilter(new WebStatFilter());
	Map<String,String> initParams = new HashMap<>();
	initParams.put("exclusions","*.js,*.css,/druid/*");
	bean.setInitParameters(initParams);
	bean.setUrlPatterns(Arrays.asList("/*"));
	return  bean;
}

}
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原文链接：https://blog.csdn.net/yhflyl/article/details/81228669