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fosuEinstein / Druid-monitor-configuration

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README

Druid-monitor-configuration

介绍

阿里的Druid监控service的运行情况和SQL的运行情况 入门demo

pom文件介绍

<?xml version="1.0" encoding="UTF-8"?>
<project xmlns="http://maven.apache.org/POM/4.0.0" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance"
         xsi:schemaLocation="http://maven.apache.org/POM/4.0.0 https://maven.apache.org/xsd/maven-4.0.0.xsd">
    <modelVersion>4.0.0</modelVersion>
    <parent>
        <groupId>org.springframework.boot</groupId>
        <artifactId>spring-boot-starter-parent</artifactId>
        <version>2.1.14.RELEASE</version>
        <relativePath/> <!-- lookup parent from repository -->
    </parent>
    <groupId>com.example</groupId>
    <artifactId>demo</artifactId>
    <version>0.0.1-SNAPSHOT</version>
    <name>demo</name>
    <description>阿里的Druid监控service的运行情况和SQL的运行情况 入门demo</description>

    <properties>
        <java.version>1.8</java.version>
    </properties>

    <dependencies>
        <dependency>
            <groupId>org.springframework.boot</groupId>
            <artifactId>spring-boot-starter-web</artifactId>
            <exclusions>
                <exclusion>
                    <artifactId>spring-boot-starter-logging</artifactId>
                    <groupId>org.springframework.boot</groupId>
                </exclusion>
            </exclusions>
        </dependency>
        <dependency>
            <groupId>org.mybatis.spring.boot</groupId>
            <artifactId>mybatis-spring-boot-starter</artifactId>
            <version>2.1.2</version>
        </dependency>
<!--        aop 不然不行的,因为这些监控的原理就是aop-->
        <dependency>
            <groupId>org.springframework.boot</groupId>
            <artifactId>spring-boot-starter-aop</artifactId>
        </dependency>

        <!-- alibaba的druid数据库连接池 -->
        <dependency>
            <groupId>com.alibaba</groupId>
            <artifactId>druid</artifactId>
            <version>1.1.16</version>
        </dependency>

        <dependency>
            <groupId>mysql</groupId>
            <artifactId>mysql-connector-java</artifactId>
            <scope>runtime</scope>
        </dependency>

        <!-- 配置 log4j2 -->
        <dependency>
            <groupId>org.springframework.boot</groupId>
            <artifactId>spring-boot-starter-log4j2</artifactId>
        </dependency>
        <!-- 加上这个才能辨认到log4j2.yml文件 -->
        <dependency>
            <groupId>com.fasterxml.jackson.dataformat</groupId>
            <artifactId>jackson-dataformat-yaml</artifactId>
        </dependency>

        <dependency>
            <groupId>org.springframework.boot</groupId>
            <artifactId>spring-boot-starter-test</artifactId>
            <scope>test</scope>
            <exclusions>
                <exclusion>
                    <groupId>org.junit.vintage</groupId>
                    <artifactId>junit-vintage-engine</artifactId>
                </exclusion>
            </exclusions>
        </dependency>
    </dependencies>

    <build>
        <plugins>
            <plugin>
                <groupId>org.apache.maven.plugins</groupId>
                <artifactId>maven-compiler-plugin</artifactId>
                <configuration>
                    <source>1.8</source>
                    <target>1.8</target>
                    <encoding>UTF-8</encoding>
                </configuration>
            </plugin>
            <plugin>
                <groupId>org.springframework.boot</groupId>
                <artifactId>spring-boot-maven-plugin</artifactId>
            </plugin>
        </plugins>
    </build>

</project>

配置类:监控Spring的service,修改对应的dao和service所在的包路径

/**
 * 使用druid监控Spring配置
 * @author
 */
@Configuration
public class SpringMonitor {

    @Bean
    public DruidStatInterceptor druidStatInterceptor() {
        DruidStatInterceptor dsInterceptor = new DruidStatInterceptor();
        return dsInterceptor;
    }

    @Bean
    @Scope("prototype")
    public JdkRegexpMethodPointcut druidStatPointcut() {
        JdkRegexpMethodPointcut pointcut = new JdkRegexpMethodPointcut();
        pointcut.setPatterns("com.example.demo.dao.*"
                ,"com.example.demo.service.*");
        return pointcut;
    }

    @Bean
    public DefaultPointcutAdvisor druidStatAdvisor(DruidStatInterceptor druidStatInterceptor, JdkRegexpMethodPointcut druidStatPointcut) {
        DefaultPointcutAdvisor defaultPointAdvisor = new DefaultPointcutAdvisor();
        defaultPointAdvisor.setPointcut(druidStatPointcut);
        defaultPointAdvisor.setAdvice(druidStatInterceptor);
        return defaultPointAdvisor;
    }
    
}

配置类:监控dao,主要是配置账号密码

@Configuration
// @ConfigurationProperties(prefix = "spring.datasource")//读取 application.properties里的内容
public class SqlMonitor {

    //注册 Servlet 组件
    @Bean
    public ServletRegistrationBean statViewServlet(){
        ServletRegistrationBean servletRegistrationBean = new ServletRegistrationBean(new StatViewServlet(), "/druid/*");
        /*servletRegistrationBean.addInitParameter("allow", "192.168.1.3"); //白名单IP*/
        servletRegistrationBean.addInitParameter("loginUsername", "admin");
        servletRegistrationBean.addInitParameter("loginPassword", "admin");
        return servletRegistrationBean;
    }

    // 注册 Filter 组件
    @Bean
    public FilterRegistrationBean statFilter(){
        FilterRegistrationBean filterRegistrationBean = new FilterRegistrationBean(new WebStatFilter());
        //验证所有请求
        filterRegistrationBean.addUrlPatterns("/*");
        //对 *.js,*.gif,*.jpg,*.png,*.css,*.ico,/druid/* 不进行验证
        filterRegistrationBean.addInitParameter("exclusions", "*.js,*.gif,*.jpg,*.png,*.css,*.ico,/druid/*");
        return filterRegistrationBean;
    }

    @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;

    /**
     * 主数据源
     */
    @Bean
    @Primary
    public DataSource dataSource(){
        DruidDataSource datasource = new DruidDataSource();
        datasource.setUrl(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);
        try {
            datasource.setFilters(filters);
        } catch (SQLException e) {
            System.out.println("druid configuration Exception"+ e.getMessage());
        }
        datasource.setConnectionProperties(connectionProperties);
        return datasource;
    }
}

配置 application.yml

mybatis:
  mapper-locations: classpath:mapping/*.xml  #注意:一定要对应mapper映射xml文件的所在路径
  type-aliases-package: com.example.demo.model  # 注意:对应实体类的路径
  configuration:
    map-underscore-to-camel-case: true #开启驼峰
#    log-impl: org.apache.ibatis.logging.stdout.StdOutImpl # spring boot集成mybatis的方式在idea console中打印sql    log-impl: org.apache.ibatis.logging.stdout.StdOutImpl # spring boot集成mybatis的方式在idea console中打印sql

spring:
  datasource:
    name: test
    url: jdbc:mysql://127.0.0.1:3306/testDB?serverTimezone=Asia/Shanghai&useUnicode=yes&characterEncoding=UTF-8&useSSL=false&allowMultiQueries=true
    username: root
    password: root
    # 使用druid数据源
    type: com.alibaba.druid.pool.DruidDataSource
    driver-class-name: com.mysql.cj.jdbc.Driver
    # 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
    maxActive: 20 # 最大存活连接
    initialSize: 5 # 初始化连接
    maxWait: 60000 # 配置获取连接等待超时的时间
    minIdle: 3 # 最少存活连接
    timeBetweenEvictionRunsMillis: 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
    minEvictableIdleTimeMillis: 300000 # 配置一个连接在池中最小生存的时间,单位是毫秒
    validationQuery: select 'x'
    testWhileIdle: true #建议配置为true,不影响性能,并且保证安全性。申请连接的时候检测,如果空闲时间大于timeBetweenEvictionRunsMillis,执行validationQuery检测连接是否有效。
    testOnBorrow: false #申请连接时执行validationQuery检测连接是否有效,做了这个配置会降低性能
    testOnReturn: false #归还连接时执行validationQuery检测连接是否有效,做了这个配置会降低性能。
    poolPreparedStatements: true # 打开PSCache,并且指定每个连接上PSCache的大小
    maxOpenPreparedStatements: 20 #打开PSCache,并且指定每个连接上PSCache的大小
    # 通过connectProperties属性来打开mergeSql功能;慢SQL记录
    connectionProperties: druid.stat.mergeSql=true;druid.stat.slowSqlMillis=5000
    # 要启用PSCache,必须配置大于0,当大于0时,poolPreparedStatements自动触发修改为true。在Druid中,不会存在Oracle下PSCache占用内存过多的问题,可以把这个数值配置大一些,比如说100
    maxPoolPreparedStatementPerConnectionSize: 20

logging:
  level:
    com.example.demo.dao: debug
    com.example.demo.service: warn
    com.example.demo.controller: info
  config: classpath:log4j2.yml
目录结构大概这样:

运行一下自己写的controller接口,然后然后启动进入 http://localhost:8080/druid/spring.html

运行效果图

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