Spring Boot 使用 Druid 和监控配置

转:http://412887952-qq-com.iteye.com/blog/2292362,http://blog.csdn.net/catoop/article/details/50925337

Spring Boot默认的数据源是：org.apache.tomcat.jdbc.pool.DataSource

整体步骤：
(1)    ——   Druid简单介绍，具体看官网；
(2)     —— 在pom.xml配置druid依赖包；
(3)    ——  配置application.properties加入数据库源类型等参数；
(4)     —— 编写druid servlet和filter提供监控页面访问；
(5)     —— 输入地址进行测试；

1、添加Maven依赖 (或jar包)

<dependency>            <groupId>com.alibaba</groupId>            <artifactId>druid</artifactId>            <version>1.0.18</version>        </dependency>

application.properties

# 数据库访问配置# 主数据源，默认的spring.datasource.type=com.alibaba.druid.pool.DruidDataSourcespring.datasource.driver-class-name=com.mysql.jdbc.Driverspring.datasource.url=jdbc:mysql://localhost:3306/testspring.datasource.username=rootspring.datasource.password=123456# 下面为连接池的补充设置，应用到上面所有数据源中# 初始化大小，最小，最大spring.datasource.initialSize=5spring.datasource.minIdle=5spring.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=300000spring.datasource.validationQuery=SELECT 1 FROM DUALspring.datasource.testWhileIdle=truespring.datasource.testOnBorrow=falsespring.datasource.testOnReturn=false# 打开PSCache，并且指定每个连接上PSCache的大小 spring.datasource.poolPreparedStatements=truespring.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

3、配置监控统计功能


配置Servlet


如下是在SpringBoot项目中基于注解的配置，如果是web.xml配置，按规则配置即可。

package com.example.servlet;import javax.servlet.annotation.WebInitParam;import javax.servlet.annotation.WebServlet;/** * druid数据源状态监控 *  * @author Administrator * */@WebServlet(urlPatterns = "/druid/*", initParams = { @WebInitParam(name = "allow", value = "192.168.16.110,127.0.0.1"), // IP白名单// (没有配置或者为空，则允许所有访问)@WebInitParam(name = "deny", value = "192.168.1.111"), // IP黑名单// (存在共同时，deny优先于allow)@WebInitParam(name = "loginUsername", value = "root"), // 用户名@WebInitParam(name = "loginPassword", value = "root"), // 密码@WebInitParam(name = "resetEnable", value = "false")// 禁用HTML页面上的“Reset// All”功能})public class DruidStatViewServlet extends com.alibaba.druid.support.http.StatViewServlet{/** *  */private static final long serialVersionUID = -2419291060366082741L;}

配置Filter

package com.example.servlet;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 DruidStatFilter extends WebStatFilter{}

最后在Application.java类上加上注解：@ServletComponentScan是的spring能够扫描到我们自己编写的servlet和filter。


注意不要忘记在Application.java 上添加 @ServletComponentScan 注解，不然就是404了。

package com.example;import org.springframework.boot.SpringApplication;import org.springframework.boot.autoconfigure.SpringBootApplication;import org.springframework.boot.web.servlet.ServletComponentScan;@ServletComponentScan@SpringBootApplicationpublic class Application {public static void main(String[] args) {SpringApplication.run(Application.class, args);}/*@Beanpublic ServletRegistrationBean servletRegistrationBean() {return new ServletRegistrationBean(new DruidStatViewServlet(), "/druid/*");// ServletName默认值为首字母小写，即myServlet}*//* * @Autowired private Environment env; *  * @Bean public DataSource dataSource() { DruidDataSource dataSource = new * DruidDataSource(); * dataSource.setUrl(env.getProperty("spring.datasource.url")); * dataSource.setUsername(env.getProperty("spring.datasource.username"));// * 用户名 * dataSource.setPassword(env.getProperty("spring.datasource.password"));// * 密码 dataSource.setDriverClassName(env.getProperty( * "spring.datasource.driver-class-name")); dataSource.setInitialSize(2); * dataSource.setMaxActive(20); dataSource.setMinIdle(0); * dataSource.setMaxWait(60000); dataSource.setValidationQuery("SELECT 1"); * dataSource.setTestOnBorrow(false); dataSource.setTestWhileIdle(true); * dataSource.setPoolPreparedStatements(false); return dataSource; } */}

然后启动项目后访问 http://127.0.0.1:8080/druid/index.html 即可查看数据源及SQL统计等。

需要注意的是：spring.datasource.type旧的spring boot版本是不能识别的。（后话：更新于2016年8月20日，很抱歉的是新版本也废弃了这个属性，配置完之后启动就会报错，所以现在知道的情况是1.2版本不支持，1.3版本支持，1.4版本不支持，

1.4版本可以新建类去实现EnvironmentAware接口和@Configuration@EnableTransactionManagement的方式注入druid数据源

package com.example.configuration;import java.sql.SQLException;import javax.sql.DataSource;import org.springframework.boot.bind.RelaxedPropertyResolver;import org.springframework.context.EnvironmentAware;import org.springframework.context.annotation.Bean;import org.springframework.context.annotation.Configuration;import org.springframework.core.env.Environment;import org.springframework.transaction.annotation.EnableTransactionManagement;import com.alibaba.druid.pool.DruidDataSource;@Configuration@EnableTransactionManagementpublic class DataBaseConfiguration implements EnvironmentAware { private RelaxedPropertyResolver propertyResolver;    @Override    public void setEnvironment(Environment env) {        this.propertyResolver = new RelaxedPropertyResolver(env, "spring.datasource.");    }        @Bean(destroyMethod = "close", initMethod = "init")    public DataSource writeDataSource() throws SQLException {        System.out.println("注入druid！！！");                       DruidDataSource dataSource = new DruidDataSource();        dataSource.setUrl(propertyResolver.getProperty("url"));        dataSource.setUsername(propertyResolver.getProperty("username"));//用户名        dataSource.setPassword(propertyResolver.getProperty("password"));//密码        dataSource.setDriverClassName(propertyResolver.getProperty("driver-class-name"));        dataSource.setInitialSize(Integer.parseInt(propertyResolver.getProperty("initialSize")));        dataSource.setMaxActive(Integer.parseInt(propertyResolver.getProperty("maxActive")));        dataSource.setMinIdle(Integer.parseInt(propertyResolver.getProperty("minIdle")));        dataSource.setMaxWait(Integer.parseInt(propertyResolver.getProperty("maxWait")));        dataSource.setTimeBetweenEvictionRunsMillis(Integer.parseInt(propertyResolver.getProperty("timeBetweenEvictionRunsMillis")));        dataSource.setMinEvictableIdleTimeMillis(Integer.parseInt(propertyResolver.getProperty("minEvictableIdleTimeMillis")));        dataSource.setValidationQuery(propertyResolver.getProperty("validationQuery"));        dataSource.setTestOnBorrow(Boolean.getBoolean(propertyResolver.getProperty("testOnBorrow")));        dataSource.setTestWhileIdle(Boolean.getBoolean(propertyResolver.getProperty("testWhileIdle")));        dataSource.setTestOnReturn(Boolean.getBoolean(propertyResolver.getProperty("testOnReturn")));        dataSource.setPoolPreparedStatements(Boolean.getBoolean(propertyResolver.getProperty("poolPreparedStatements")));        dataSource.setMaxPoolPreparedStatementPerConnectionSize(Integer.parseInt(propertyResolver.getProperty("maxPoolPreparedStatementPerConnectionSize")));        //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        dataSource.setFilters(propertyResolver.getProperty("filters"));        return dataSource;    }}

application.properties

###########################################################datasource######################################################### 数据库访问配置# 主数据源，默认的#spring.datasource.type=com.alibaba.druid.pool.DruidDataSourcespring.datasource.driver-class-name=com.mysql.jdbc.Driverspring.datasource.url=jdbc:mysql://localhost:3306/testspring.datasource.username=rootspring.datasource.password=root # 下面为连接池的补充设置，应用到上面所有数据源中# 初始化大小，最小，最大spring.datasource.initialSize=5spring.datasource.minIdle=5spring.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=300000spring.datasource.validationQuery=SELECT 1 FROM DUALspring.datasource.testWhileIdle=truespring.datasource.testOnBorrow=falsespring.datasource.testOnReturn=false# 打开PSCache，并且指定每个连接上PSCache的大小spring.datasource.poolPreparedStatements=truespring.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