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  • spring boot:配置druid数据库连接池(开启sql防火墙/使用log4j2做异步日志/spring boot 2.3.2)

    一,druid数据库连接池的功能?

    1,Druid是阿里巴巴开发的号称为监控而生的数据库连接池

    它的优点包括:

    可以监控数据库访问性能

    SQL执行日志

    SQL防火墙 

    2,druid的官方站:

    https://github.com/alibaba/druid/

    说明:刘宏缔的架构森林是一个专注架构的博客,地址:https://www.cnblogs.com/architectforest

             对应的源码可以访问这里获取: https://github.com/liuhongdi/

    说明:作者:刘宏缔 邮箱: 371125307@qq.com

    二,演示项目的相关信息:

    1,项目地址:

    https://github.com/liuhongdi/druid

    2,  项目功能说明:

         为druid配置log4j2作为日志记录工具,

         演示mybatis代码中#和$变量的区别

    3, 项目结构:如图:

    三,配置文件说明 

    1,pom.xml

            <dependency>
                <groupId>org.springframework.boot</groupId>
                <artifactId>spring-boot-starter-web</artifactId>
                <exclusions>
                    <exclusion>
                        <groupId>org.springframework.boot</groupId>
                        <artifactId>spring-boot-starter-logging</artifactId>
                    </exclusion>
                </exclusions>
            </dependency>
    
            <!--druid begin-->
            <dependency>
                <groupId>com.alibaba</groupId>
                <artifactId>druid-spring-boot-starter</artifactId>
                <version>1.1.23</version>
            </dependency>
            <dependency>
                <groupId>org.springframework.boot</groupId>
                <artifactId>spring-boot-starter-log4j2</artifactId>
            </dependency>
            <dependency>
                <groupId>com.lmax</groupId>
                <artifactId>disruptor</artifactId>
                <version>3.4.2</version>
            </dependency>
            <!--druid   end-->
    
            <!--mybatis begin-->
            <dependency>
                <groupId>org.mybatis.spring.boot</groupId>
                <artifactId>mybatis-spring-boot-starter</artifactId>
                <version>2.1.3</version>
            </dependency>
            <!--mybatis end-->
    
            <!--mysql begin-->
            <dependency>
                <groupId>mysql</groupId>
                <artifactId>mysql-connector-java</artifactId>
                <scope>runtime</scope>
            </dependency>
            <!--mysql end-->
    
            <!--pagehelper begin-->
            <dependency>
                <groupId>com.github.pagehelper</groupId>
                <artifactId>pagehelper-spring-boot-starter</artifactId>
                <version>1.2.13</version>
            </dependency>
            <!--pagehelper end-->

    说明:关闭了spring-boot-starter-web自带的log功能,

             用druid-spring-boot-starter引入druid,

             disruptor这个依赖也需要引入,是log4j2使用异步日志中必需的

    2,application.properties

    #error
    server.error.include-stacktrace=always
    #error
    logging.level.org.springframework.web=trace
    
    #   数据源基本配置
    spring.datasource.username = root
    spring.datasource.password = lhddemo
    spring.datasource.driver-class-name = com.mysql.cj.jdbc.Driver
    spring.datasource.url = jdbc:mysql://127.0.0.1:3306/store?serverTimezone=UTC
    spring.datasource.type = com.alibaba.druid.pool.DruidDataSource
    
    #   Druid数据源配置
    spring.datasource.druid.initialSize = 5
    spring.datasource.druid.minIdle = 5
    spring.datasource.druid.maxActive = 20
    spring.datasource.druid.maxWait = 60000
    spring.datasource.druid.timeBetweenEvictionRunsMillis = 60000
    spring.datasource.druid.minEvictableIdleTimeMillis = 300000
    spring.datasource.druid.validationQuery = SELECT 1 FROM DUAL
    spring.datasource.druid.testWhileIdle = true
    spring.datasource.druid.testOnBorrow = false
    spring.datasource.druid.testOnReturn = false
    spring.datasource.druid.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
    spring.datasource.druid.filters = stat,wall,log4j2
    spring.datasource.druid.maxPoolPreparedStatementPerConnectionSize = 20
    spring.datasource.druid.useGlobalDataSourceStat = true
    spring.datasource.druid.connectionProperties = druid.stat.mergeSql=true;druid.stat.slowSqlMillis=500
    
    #druid sql firewall monitor
    spring.datasource.druid.filter.wall.enabled=true
    
    #druid sql monitor
    spring.datasource.druid.filter.stat.enabled=true
    spring.datasource.druid.filter.stat.log-slow-sql=true
    spring.datasource.druid.filter.stat.slow-sql-millis=10000
    spring.datasource.druid.filter.stat.merge-sql=true
    
    #druid uri monitor
    spring.datasource.druid.web-stat-filter.enabled=true
    spring.datasource.druid.web-stat-filter.url-pattern=/*
    spring.datasource.druid.web-stat-filter.exclusions=*.js,*.gif,*.jpg,*.bmp,*.png,*.css,*.ico,/druid/*
    
    #druid session monitor
    spring.datasource.druid.web-stat-filter.session-stat-enable=true
    spring.datasource.druid.web-stat-filter.profile-enable=true
    
    #druid spring monitor
    spring.datasource.druid.aop-patterns=com.druid.*
    
    #druid login user config
    spring.datasource.druid.stat-view-servlet.login-username=root
    spring.datasource.druid.stat-view-servlet.login-password=root
    
    #monintor
    spring.datasource.druid.stat-view-servlet.enabled=true
    #spring.datasource.druid.stat-view-servlet.url-pattern="/druid/*"
    
    #mybatis
    mybatis.mapper-locations=classpath:/mapper/*Mapper.xml
    mybatis.type-aliases-package=com.example.demo.mapper
    mybatis.configuration.log-impl=org.apache.ibatis.logging.stdout.StdOutImpl
    
    logging.config = classpath:log4j2.xml

    说明:除了druid的配置,指定了log的配置文件为: log4j2.xml

            如果需要查看监控界面,需要设置以下一项:

            spring.datasource.druid.stat-view-servlet.enabled=true

            大家如果在生产环境中,可以设置它为false,只查看日志文件

           使用log4j2日志时,注意spring.datasource.druid.filters 设置为 stat,wall,log4j2

    3,log4j2.xml

    <?xml version="1.0" encoding="UTF-8"?>
    <configuration status="OFF">
    <appenders>
        <Console name="Console" target="SYSTEM_OUT">
            <ThresholdFilter level="DEBUG" onMatch="ACCEPT" onMismatch="DENY"/>
            <PatternLayout pattern="%d{yyyy-MM-dd HH:mm:ss.SSS} [%thread] [%file:%line] %-5level %logger{35} - %msg %n"/>
        </Console>
    
        <!--处理INFO级别的日志,写入到logs/info.log文件-->
        <RollingFile name="RollingFileInfo" fileName="./logs/info.log"
                     filePattern="logs/$${date:yyyy-MM}/info-%d{yyyy-MM-dd}-%i.log.gz">
            <Filters>
                <ThresholdFilter level="INFO"/>
                <ThresholdFilter level="WARN" onMatch="DENY" onMismatch="NEUTRAL"/>
            </Filters>
            <PatternLayout pattern="%d{yyyy-MM-dd HH:mm:ss.SSS} [%thread] [%file:%line] %-5level %logger{35} - %msg %n"/>
            <Policies>
                <SizeBasedTriggeringPolicy size="500 MB"/>
                <TimeBasedTriggeringPolicy/>
            </Policies>
        </RollingFile>
        <!--处理WARN级别的日志,写入到logs/warn.log文件-->
        <RollingFile name="RollingFileWarn" fileName="./logs/warn.log"
                     filePattern="logs/$${date:yyyy-MM}/warn-%d{yyyy-MM-dd}-%i.log.gz">
            <Filters>
                <ThresholdFilter level="WARN"/>
                <ThresholdFilter level="ERROR" onMatch="DENY" onMismatch="NEUTRAL"/>
            </Filters>
            <PatternLayout pattern="%d{yyyy-MM-dd HH:mm:ss.SSS} [%thread] [%file:%line] %-5level %logger{35} - %msg %n"/>
            <Policies>
                <SizeBasedTriggeringPolicy size="500 MB"/>
                <TimeBasedTriggeringPolicy/>
            </Policies>
        </RollingFile>
        <!--处理error级别的日志,写入到logs/error.log文件-->
        <RollingFile name="RollingFileError" fileName="./logs/error.log"
                     filePattern="logs/$${date:yyyy-MM}/error-%d{yyyy-MM-dd}-%i.log.gz">
            <ThresholdFilter level="ERROR"/>
            <PatternLayout pattern="%d{yyyy-MM-dd HH:mm:ss.SSS} [%thread] [%file:%line] %-5level %logger{35} - %msg %n"/>
            <Policies>
                <SizeBasedTriggeringPolicy size="500 MB"/>
                <TimeBasedTriggeringPolicy/>
            </Policies>
        </RollingFile>
        <!--druid的日志记录追加器-->
        <RollingFile name="druidSqlRollingFile" fileName="./logs/druid-sql.log"
                     filePattern="logs/$${date:yyyy-MM}/api-%d{yyyy-MM-dd}-%i.log.gz">
            <PatternLayout pattern="%d{yyyy-MM-dd HH:mm:ss.SSS} [%thread] [%file:%line] %-5level %logger{35} - %msg %n"/>
            <Policies>
                <SizeBasedTriggeringPolicy size="500 MB"/>
                <TimeBasedTriggeringPolicy/>
            </Policies>
        </RollingFile>
    </appenders>
    <loggers>
        <AsyncRoot level="info">
            <appender-ref ref="Console"/>
            <appender-ref ref="RollingFileInfo"/>
            <appender-ref ref="RollingFileWarn"/>
            <appender-ref ref="RollingFileError"/>
        </AsyncRoot>
        <!--记录druid-sql的记录-->
        <AsyncLogger name="druid.sql.Statement" level="debug" additivity="false">
            <appender-ref ref="druidSqlRollingFile"/>
        </AsyncLogger>
    </loggers>
    </configuration>

    说明:这里只是举例,直接把日志放到了当前目录,生产环境中建议为日志配置专门的目录

    4,数据表的结构:

    CREATE TABLE `user` (
     `userId` int(11) NOT NULL AUTO_INCREMENT COMMENT 'id',
     `username` varchar(200) NOT NULL DEFAULT '' COMMENT 'name',
     `password` varchar(100) NOT NULL DEFAULT '' COMMENT 'pass',
     PRIMARY KEY (`userId`),
     UNIQUE KEY `username` (`username`)
    ) ENGINE=InnoDB AUTO_INCREMENT=0 DEFAULT CHARSET=utf8mb4 COLLATE=utf8mb4_0900_ai_ci COMMENT='user'

    四,java代码说明:

    1,UserController.java

    @RestController
    @RequestMapping("/user")
    public class UserController {
    
        @Resource
        private UserService userService;
    
        //mybatis使用#变量
        @GetMapping("/login")
        public Object login(@RequestParam("username") String username,
                                   @RequestParam("password") String password
                                   ) {
            User userOne = userService.getOneUserByUsernamePassword(username,password);
            if (userOne == null) {
                System.out.println("user is null");
            }
            return userOne;
        }
    
        //mybatis使用$变量
        @GetMapping("/login2")
        public Object login2(@RequestParam("username") String username,
                            @RequestParam("password") String password
        ) {
            User userOne = userService.getOneUserByUsernamePassword2(username,password);
            if (userOne == null) {
                System.out.println("user is null");
            }
            return userOne;
        }
    }

    说明:mybatis在mapper文件中,如果使用$时,属于拼接sql语句,有sql注入的危险,

             我们用来检测druid的sql注入检测是否生效

    2,UserServiceImpl.java

    @Service
    public class UserServiceImpl implements UserService {
    
        @Resource
        private UserMapper userMapper;
    
        //mybatis使用#变量
        @Override
        public User getOneUserByUsernamePassword(String username,String password) {
            User userOne = userMapper.selectOneUserByUsernamePassword(username,password);
            System.out.println(userOne);
            return userOne;
        }
    
        //mybatis使用$变量
        @Override
        public User getOneUserByUsernamePassword2(String username,String password) {
            User userOne = userMapper.selectOneUserByUsernamePassword2(username,password);
            System.out.println(userOne);
            return userOne;
        }
    }

    3,UserMapper.xml

    <?xml version="1.0" encoding="UTF-8" ?>
    <!DOCTYPE mapper
            PUBLIC "-//mybatis.org//DTD Mapper 3.0//EN"
            "http://mybatis.org/dtd/mybatis-3-mapper.dtd">
    <mapper namespace="com.druid.demo.mapper.UserMapper">
        <select id="selectOneUserByUsernamePassword" parameterType="String" resultType="com.druid.demo.pojo.User">
            select * from user where username=#{username} and password=#{password}
        </select>
        <select id="selectOneUserByUsernamePassword2" parameterType="String" resultType="com.druid.demo.pojo.User">
            select * from user where username=${username} and password=${password}
        </select>
    </mapper>

    4,User.java

    public class User {
        //用户id
        private String userId;
        public String getUserId() {
            return userId;
        }
    
        //用户名
        private String username;
        public String getUsername() {
            return this.username;
        }
        public void setUsername(String username) {
            this.username = username;
        }
    }

    五,测试效果

    1,打开druid监控界面:

    http://127.0.0.1:8080/druid/login.html

    输入我们在配置文件中的定义的用户和密码 root/root

    登录后可以看到druid的界面:

    2,测试sql的注入,检查druid的防火墙效果

    http://127.0.0.1:8080/user/login?username=1&password=2 or 1=1 limit 1

    返回为空,

    查看控制台:

    ==>  Preparing: select * from user where username=? and password=?
    ==> Parameters: 1(String), 2 or 1=1 limit 1(String)
    <==      Total: 0

    可见在mybatis使用#我们输入的注入语句也被作为参数的一部分,

    因为mybatis把输入的内容解析为一个 JDBC 预编译语句(prepared statement)的参数标记符,

    一个 #{ } 被解析为一个参数占位符,

    所以注入是失败的

    访问:

    http://127.0.0.1:8080/user/login2?username=1&password=2 or 1=1 limit 1

    返回:

     

    mybatis在使用$时,是通过拼接字符串来构造sql,

    可见我们的sql注入已生效,但因为druid的防火墙机制,导致抛出 sql injection violation

    说明druid的防sql注入防火墙是有效的

    3,测试过sql注入后,再查看druid中的防火墙页面:

     我们使用的注入sql已被添加到了黑名单

    六,查看spring boot的版本:

      .   ____          _            __ _ _
     /\ / ___'_ __ _ _(_)_ __  __ _    
    ( ( )\___ | '_ | '_| | '_ / _` |    
     \/  ___)| |_)| | | | | || (_| |  ) ) ) )
      '  |____| .__|_| |_|_| |_\__, | / / / /
     =========|_|==============|___/=/_/_/_/
     :: Spring Boot ::        (v2.3.2.RELEASE)
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  • 原文地址:https://www.cnblogs.com/architectforest/p/13470370.html
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