springboot集成druid数据源并且监控

Posted 2020-10-02 liduanwen

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.DruidDataSource
spring.datasource.url=jdbc:mysql://localhost:3306/my_data?useUnicode=true&characterEncoding=utf8
spring.datasource.username=root
spring.datasource.password=123456
spring.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=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=true
spring.datasource.testOnBorrow=false
spring.datasource.testOnReturn=false
# 打开PSCache，并且指定每个连接上PSCache的大小
spring.datasource.poolPreparedStatements=true
spring.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

@Configuration
public 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DataSource
public 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。