springboot集成druid数据源并且监控

Druid是Java语言中最好的数据库连接池，并且能够提供强大的监控和扩展功能。

业界把 Druid 和 HikariCP 做对比后，虽说 HikariCP 的性能比 Druid 高，但是因为 Druid 包括很多维度的统计和分析功能，所以这也是大家都选择使用它的原因。

首先配置 druid maven 依赖

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

配置 application.properties

#数据库spring.datasource.type=com.alibaba.druid.pool.DruidDataSourcespring.datasource.url=jdbc:mysql://localhost:3306/my_data?useUnicode=true&characterEncoding=utf8spring.datasource.username=rootspring.datasource.password=123456spring.datasource.driver-class-name=com.mysql.jdbc.Driver#为实体对象所在的包，跟数据库表一一对应mybatis.typeAliasesPackage=com.exer.demo.entity#mapper文件的位置mybatis.mapperLocations=classpath:mapper/*.xml

# 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=300000# 校验SQL，Oracle配置 spring.datasource.validationQuery=SELECT 1 FROM DUAL，如果不配validationQuery项，则下面三项配置无用spring.datasource.validationQuery=SELECT ‘x‘spring.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

@Configurationpublic class DruidConfiguration {    @Bean    public ServletRegistrationBean DruidStatViewServle2() {        //org.springframework.boot.context.embedded.ServletRegistrationBean提供类的进行注册.        ServletRegistrationBean servletRegistrationBean = new ServletRegistrationBean(new StatViewServlet(), "/druid2/*");        //添加初始化参数：initParams

//白名单：        servletRegistrationBean.addInitParameter("allow","192.168.1.106");        //IP黑名单 (存在共同时，deny优先于allow) : 如果满足deny的话提示:Sorry, you are not permitted to view this page.       // servletRegistrationBean.addInitParameter("deny", "192.168.1.73");        //登录查看信息的账号密码.        servletRegistrationBean.addInitParameter("loginUsername","admin");        servletRegistrationBean.addInitParameter("loginPassword","123456");        //是否能够重置数据.        servletRegistrationBean.addInitParameter("resetEnable","false");        return servletRegistrationBean;    }

/**

* 注册一个：filterRegistrationBean

* @return

*/

@Bean    public FilterRegistrationBean druidStatFilter2(){        FilterRegistrationBean filterRegistrationBean = new FilterRegistrationBean(new WebStatFilter());        //添加过滤规则.        filterRegistrationBean.addUrlPatterns("/*");        //添加不需要忽略的格式信息.        filterRegistrationBean.addInitParameter("exclusions","*.js,*.gif,*.jpg,*.png,*.css,*.ico,/druid2/*");        return filterRegistrationBean;    }

}

 重启启动项目 http://192.168.1.106:8081/druid2/login.html   账号和密码： admin 123456

如果不使用代码手动初始化DataSource的话，监控界面的SQL监控会没有数据

这种情况下手动初始化 druid DataSource

@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     //声明其为Bean实例@Primary  //在同样的DataSource中，首先使用被标注的DataSourcepublic 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;}

SQL监控就可以看到执行信息了。