JAVA后端项目实战：SpringBoot+Elasticsearch+Redis+MybatisPlus+binlog监听+权限鉴定（JWT+Token+redis）

代码仓库：github
最好对着源码看此教程。

〇、功能设计

设置数据检索、指标分析、数据管理模块，数据检索提供给用户使用，后两个模块提供给管理员使用。此外还实现了权限拦截功能。

一、SpringBoot项目搭建

• 依赖：

<?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>2.7.13</version>
        <relativePath/> <!-- lookup parent from repository -->
    </parent>
    <groupId>com.tracy</groupId>
    <artifactId>Search</artifactId>
    <version>0.0.1-SNAPSHOT</version>
    <name>Search</name>
    <description>Search</description>
    <properties>
        <java.version>1.8</java.version>
    </properties>
    <dependencies>
        <dependency>
            <groupId>org.springframework.boot</groupId>
            <artifactId>spring-boot-starter-data-elasticsearch</artifactId>
        </dependency>
        <dependency>
            <groupId>org.springframework.boot</groupId>
            <artifactId>spring-boot-starter-web</artifactId>
        </dependency>
        <dependency>
            <groupId>org.aspectj</groupId>
            <artifactId>aspectjweaver</artifactId>
            <version>1.9.7</version>
        </dependency>

        <dependency>
            <groupId>org.springframework.boot</groupId>
            <artifactId>spring-boot-starter-data-redis</artifactId>
        </dependency>

        <!-- https://mvnrepository.com/artifact/org.kie.modules/com-fasterxml-jackson -->
        <dependency>
            <groupId>org.kie.modules</groupId>
            <artifactId>com-fasterxml-jackson</artifactId>
            <version>6.5.0.Final</version>
            <type>pom</type>
        </dependency>




        <dependency>
            <groupId>org.projectlombok</groupId>
            <artifactId>lombok</artifactId>
            <optional>true</optional>
        </dependency>
        <dependency>
            <groupId>org.springframework.boot</groupId>
            <artifactId>spring-boot-starter-test</artifactId>
            <scope>test</scope>
        </dependency>
    </dependencies>

    <build>
        <plugins>
            <plugin>
                <groupId>org.springframework.boot</groupId>
                <artifactId>spring-boot-maven-plugin</artifactId>
                <configuration>
                    <excludes>
                        <exclude>
                            <groupId>org.projectlombok</groupId>
                            <artifactId>lombok</artifactId>
                        </exclude>
                    </excludes>
                </configuration>
            </plugin>
        </plugins>
    </build>

</project>

• 项目信息

二、Elasticsearch数据库搭建

0.部署Elasticsearch和kibana服务

使用教程之前写过了：博客

按照步骤搭建起Elasticsearch和kibana服务。

部署好服务之后，创建两个索引text和claim，与后端代码对应起来。

1.SpringBoot整合Elasticsearch

整合教程之前也写过了：博客

2.爬虫获得数据来源

数据爬虫 -> 解析 -> 转为json

数据是根据自己写的爬虫程序获得，简单来说，就是通过已有的一个专利申请号列表去EPO网站上爬取对应的权利书数据。爬取并整理后的数据放在了项目的statics目录下的json文件夹中。 由于不想触及一些版权的问题，因此仅展示其中的几百条数据。

• 代码如下：

import json
import re

from selenium import webdriver
from selenium.webdriver.common.by import By
from scrapy.selector import Selector


def init():
    # 1 初始化
    option = webdriver.EdgeOptions()
    # 这里添加edge的启动文件=>chrome的话添加chrome.exe的绝对路径
    option.binary_location = r'C:\Program Files (x86)\Microsoft\Edge\Application\msedge.exe'
    # 这里添加的是driver的绝对路径
    driver = webdriver.Edge(r'D:\setup\edgedriver_win64\msedgedriver.exe', options=option)
    return driver


# 爬取数据
def down(driver, patent_id, path):
    url = "https://worldwide.espacenet.com/patent/search?q=" + patent_id
    dict_claims = {
        "_id": patent_id,
        "_source": {}
    }

    # 2 获取元素
    try:
        driver.minimize_window()
        driver.get(url)
        driver.implicitly_wait(30)
        driver.find_element(by=By.CLASS_NAME, value='search')
        # time.sleep(1)
        driver.find_element(by=By.XPATH, value='//*[contains(@data-qa,"claimsTab_resultDescription")]').click()
        driver.find_element(by=By.XPATH, value='//*[contains(@class,"text-block__content--3_ryPSrw")]')
        # time.sleep(1)

        # 3 获取元素中的数据
        text = driver.find_element(by=By.XPATH, value='//body').get_attribute('innerHTML')
        html = Selector(text=text)
        text = html.xpath('//*[contains(@class, "text-block__content--3_ryPSrw")]')[0].xpath('string(.)').get()

        # 4 处理获取到的text
        pattern = r'[0-9]+\.\s'
        
        list = re.split(pattern, text)
        for i in range(len(list)):
            if len(list[i]) != 0:
                dict_claims["_source"][str(i)]=list[i].strip()

        # 把爬取到的数据存放到path中
        if len(dict_claims["_source"])!=0:
            with open(file=path, mode='a', encoding='utf-8') as f:
                f.write(json.dumps(dict_claims) + "\n")
                print("【获取成功】")
    except Exception as e:
        # open(file='cited_ids_balanced_failed.txt', mode='a', encoding="utf-8").write(patent_id.strip()+"\n")
        print(e)
        pass


if __name__ == '__main__':
    f_read = open(file='../2 读取专利号/cited_ids_balanced_failed.txt', mode='r', encoding="utf-8")
    path_original = 'data_cited.json'
    driver = init()
    for line in f_read:
        patent_id = line.strip()
        print(patent_id)
        down(driver, patent_id, path_original)

3.导入数据

执行命令将claim.json和text.json分别导入索引claim和索引text中去。

0 安装npm工具
apt install npm -g

1 安装elasticdump插件
npm install elasticdump -g

2 启动es服务

3 通过json文件导入数据
elasticdump --input ./文件名.json --output "http://服务器内网ip:9200/索引名"

三、使用Redis进行接口限流

0.整合Redis

之前写的教程：博客

1.导入Redis模块代码

将仓库中RedisConfig类和AccessLimit类粘贴到项目中。

• 增加yml配置：
  time表示限流的单位时间（s），access表示在time s时间内每个接口最多可以访问的次数。

spring:
  elasticsearch:
    rest:
      uris: http://es???ip:9200
  redis:
    host: 服务器ip
    database: 0
    port: 6379
    
# 自定义配置变量
redis:
  N: 1000
  time: 60
  access: 1000

2.实现AOP限流

package com.tracy.search.util;

import org.aspectj.lang.JoinPoint;
import org.aspectj.lang.annotation.Aspect;
import org.aspectj.lang.annotation.Before;
import org.springframework.beans.factory.annotation.Autowired;
import org.springframework.stereotype.Component;

@Aspect
@Component
public class AccessLimitAspect {
    @Autowired
    AccessLimit accessLimit;

    @Before("execution(* com.tracy.search.controller..*.*(..))")
    public void checkLimit(JoinPoint joinPoint) {
        String signature=joinPoint.getTarget().getClass().getName()+"."+joinPoint.getSignature().getName()+"()";
        if(!accessLimit.accessLimit(signature)){
            throw new SecurityException("达到了限流上限！");
        }
    }
}

controller包下的全部接口将会被拦截限流。

四、指标分析模块

1.功能概述

使用Redis+AOP统计检索系统的访问次数、访问人数、热点搜索词、热门用户。

• 访问次数： ​Hash存储，Date为key，次数为value。按日统计。
• 访问人数： ​Hash，Date为key，次数为value，按日统计。Set用于用于每日的user ip去重。
• 热点搜索词： Zset，score为搜索次数。
• 热门用户： Zset，score为访问次数。

2.获取指标

• 增加yml配置：

spring:
  elasticsearch:
    rest:
      uris: http://es???ip:9200
  redis:
    host: 服务器ip
    database: 0
    port: 6379

# 自定义配置变量
redis:
  N: 1000
  hotUser: 1000
  hotKeyword: 1000
  time: 60
  access: 1000

• controller：

package com.tracy.search.controller;

import com.tracy.search.service.AnalysisService;
import org.springframework.beans.factory.annotation.Autowired;
import org.springframework.web.bind.annotation.*;

import java.util.Date;
import java.util.HashMap;
import java.util.List;

@RestController
@RequestMapping("/analysis")
public class AnalysisController {
    @Autowired
    AnalysisService analysisService;

    @GetMapping("/hotUser")
    public List<String> hotUser(){
        return  analysisService.hot("HotUser");
    }
    @GetMapping("/hotKeyword")
    public List<String> hotKeyword(){
        return  analysisService.hot("HotKeyword");
    }
    @GetMapping("/vv")
    public HashMap<Date,Integer> vv(@RequestBody List<Date> dates){
        return  analysisService.v(dates,"VV");
    }
    @GetMapping("/uv")
    public HashMap<Date,Integer> uv(@RequestBody List<Date> dates){
        return  analysisService.v(dates,"UV");
    }
}

• service：

package com.tracy.search.service;

import java.util.Date;
import java.util.HashMap;
import java.util.List;

public interface AnalysisService {

    List<String> hot(String type);

    HashMap<Date, Integer> v(List<Date> dates,String type);
}

package com.tracy.search.service;

import org.springframework.beans.factory.annotation.Autowired;
import org.springframework.beans.factory.annotation.Value;
import org.springframework.data.redis.core.RedisTemplate;
import org.springframework.stereotype.Service;

import java.util.*;

@Service
public class AnalysisServiceImpl implements AnalysisService{
    @Autowired
    RedisTemplate<String,Object> redisTemplate;
    @Value("${redis.hotUser}")
    int userCount;
    @Value("${redis.hotKeyword}")
    int keywordCount;

    @Override
    public List<String> hot(String type) {
        List<String> res=new ArrayList<>();
        Set<Object> zsets=redisTemplate.opsForZSet().range(type,0,userCount-1);
        for(Object obj:zsets){
            res.add((String)obj);
        }
        return res;
    }

    @Override
    public HashMap<Date, Integer> v(List<Date> dates,String type) {
        HashMap<Date,Integer> res=new HashMap<>();
        for(Date date:dates){
            res.put(date,(Integer)redisTemplate.opsForHash().get(type,date));
        }
        return res;
    }
}

3.更新指标

基于aop拦截controller方法，然后更新相应的指标。

package com.tracy.search.aop;

import org.aspectj.lang.JoinPoint;
import org.aspectj.lang.annotation.Before;
import org.springframework.beans.factory.annotation.Value;
import org.springframework.data.redis.core.RedisTemplate;

import javax.annotation.Resource;
import javax.servlet.http.HttpServletRequest;
import java.util.Date;

public class AnalysisAspect {
    @Resource
    RedisTemplate<String,Object> redisTemplate;
    @Value("${redis.hotUser}")
    int userCount;
    @Value("${redis.hotKeyword}")
    int keywordCount;

    //home方法每被调用一次，就更新一次uv和vv
    @Before("execution(* com.tracy.search.controller.SearchController.home(..))")
    public void updateIndex1(JoinPoint joinPoint) {
        HttpServletRequest request=(HttpServletRequest)joinPoint.getArgs()[0];
        String user_ip=request.getRemoteAddr();
        uv_vv_update(user_ip);
    }
    //SearchController中的查询方法每被调用一次，热点词和热门用户就更新一次
    @Before("execution(List com.tracy.search.controller.SearchController.*(..))")
    public void updateIndex2(JoinPoint joinPoint) {
        HttpServletRequest request=(HttpServletRequest)joinPoint.getArgs()[0];
        String user_ip=request.getRemoteAddr();
        String word=(String)joinPoint.getArgs()[1];
        hot_keyword_user_update(word,"HotKeyword");
        hot_keyword_user_update(user_ip,"HotUser");
    }

    //热点搜索词、热门用户统计
    public void hot_keyword_user_update(String word,String type){
        redisTemplate.opsForZSet().addIfAbsent(type,word,0);
        redisTemplate.opsForZSet().incrementScore(type,word,1);
        if(type.equals("HotUser")){
            if(redisTemplate.opsForZSet().size(type)>userCount){
                redisTemplate.opsForZSet().popMin("HotUser");
            }
        }else{
            if(redisTemplate.opsForZSet().size(type)>keywordCount){
                redisTemplate.opsForZSet().popMin("HotKeyword");
            }
        }

    }
    //访问次数、访问人数统计
    public void uv_vv_update(String user_ip){
        Date today=new Date();
        long tomorrow_timestamp=today.getTime()+today.getTime() + (24 * 60 * 60 * 1000);
        //今天的访问次数+1
        redisTemplate.opsForHash().increment("VV",today,1);
        //今天的访问人数更新，如果是今天的新用户则今日的UV+1
        String today_uv_key=today + "UV";
        if(Boolean.FALSE.equals(redisTemplate.hasKey(today_uv_key))){
            redisTemplate.opsForHash().increment("UV",today,1);
            redisTemplate.opsForSet().add(today_uv_key,user_ip);
            redisTemplate.expireAt(today_uv_key,new Date(tomorrow_timestamp));//明天过期
        }
        else{
            if(Boolean.FALSE.equals(redisTemplate.opsForSet().isMember(today_uv_key, user_ip))){
                redisTemplate.opsForHash().increment("UV",today,1);
            }
            redisTemplate.opsForSet().add(today_uv_key,user_ip);
        }
    }
}

五、数据管理模块

0.搭建MySQL服务

创建好数据库之后，执行项目static目录下给出的sql文件就可以导入表结构和数据。

1.整合MybatisPlus和MySQL

MybatisPlus整合教程之前也写过：博客

• 依赖

        <dependency>
            <groupId>com.baomidou</groupId>
            <artifactId>mybatis-plus-boot-starter</artifactId>
        </dependency>
        <dependency>
            <groupId>org.mybatis.spring.boot</groupId>
            <artifactId>mybatis-spring-boot-starter</artifactId>
        </dependency>
        <dependency>
            <groupId>mysql</groupId>
            <artifactId>mysql-connector-java</artifactId>
            <version>8.0.32</version>
        </dependency>
        <!--PageHelper分页插件-->
        <dependency>
            <groupId>com.github.pagehelper</groupId>
            <artifactId>pagehelper-spring-boot-starter</artifactId>
            <version>1.4.4</version>
        </dependency>

• yml配置

spring:
  elasticsearch:
    rest:
      uris: http://es???ip:9200
  redis:
    host: 服务器ip
    database: 0
    port: 6379
  datasource:
    driver-class-name: com.mysql.cj.jdbc.Driver
    url: jdbc:mysql://localhost:3306/数据库名?serverTimezone=UTC&useUnicode=true&characterEncoding=utf-8
    username: root
    password: 密码

# MyBatis-Plus的设置
# 别名包扫描路径,为路径下的所有类创建别名
mybatis-plus:
  type-aliases-package: com.tracy.search.entity
  # xml扫描路径，这里的classpath对应的是resources目录
  # 然后在Mapper接口写上自定义方法并关联XML语句，即可实现手写SQL
  mapper-locations: classpath*:mapper/*.xml
  # MyBatis-Plus驼峰转换，配置后不论手写SQL还是接口方法，都能自动映射（默认on）
  configuration:
    map-underscore-to-camel-case: on
    # 配置生成SQL日志
    log-impl: org.apache.ibatis.logging.stdout.StdOutImpl


# 自定义配置变量
redis:
  N: 1000
  hotUser: 1000
  hotKeyword: 1000
  time: 60
  access: 1000

• 配置类

package com.tracy.search.config;

import com.baomidou.mybatisplus.annotation.DbType;
import com.baomidou.mybatisplus.extension.plugins.MybatisPlusInterceptor;
import com.baomidou.mybatisplus.extension.plugins.inner.PaginationInnerInterceptor;
import org.mybatis.spring.annotation.MapperScan;
import org.springframework.context.annotation.Bean;
import org.springframework.context.annotation.Configuration;

@Configuration
@MapperScan("com.tracy.search.repository") //配置dao包扫描
public class MybatisPlusConfig {
    /**
     * 添加分页插件
     */
    @Bean
    public MybatisPlusInterceptor mybatisPlusInterceptor() {
        MybatisPlusInterceptor interceptor = new MybatisPlusInterceptor();
        // 新的分页插件,一缓和二缓遵循mybatis的规则
        interceptor.addInnerInterceptor(new PaginationInnerInterceptor(DbType.MYSQL));
        return interceptor;
    }
}

2.代码实现CRUD

• controller

package com.tracy.search.controller;

import com.baomidou.mybatisplus.extension.plugins.pagination.Page;
import com.tracy.search.entity.Text;
import com.tracy.search.service.ManageService;
import org.springframework.beans.factory.annotation.Autowired;
import org.springframework.web.bind.annotation.*;

import java.util.List;

@RestController
@RequestMapping("/manage")
public class ManageController {
    @Autowired
    ManageService manageService;

    //插入单条数据
    @PostMapping("/insert")
    public Boolean insert(@RequestBody Text text){
        return manageService.save(text);
    }

    //单条删除、批量删除
    @PostMapping("/delete")
    public Boolean delete(@RequestBody List<Integer> ids){
        boolean res=true;
        for(Integer id:ids){
            if(!manageService.removeById(id)){
                res=false;
            }
        }
        return res;
    }

    //更新
    @PostMapping("/update")
    public Boolean update(@RequestBody Text text){
        return manageService.updateById(text);
    }

    //条件查询
    @PostMapping("/query")
    public Page<Text> query(@RequestBody Text text,Integer pageNum, Integer pageSize){
        Page<Text> userPage = new Page<>();
        userPage.setCurrent(pageNum);
        userPage.setSize(pageSize);
        return manageService.query(userPage,text);
    }
}

• service

package com.tracy.search.service;

import com.baomidou.mybatisplus.extension.plugins.pagination.Page;
import com.baomidou.mybatisplus.extension.service.IService;
import com.tracy.search.entity.Text;

public interface ManageService extends IService<Text> {
    Page<Text> query(Page<Text> textPage,Text text);
}

package com.tracy.search.service;

import com.baomidou.mybatisplus.core.conditions.query.QueryWrapper;
import com.baomidou.mybatisplus.extension.plugins.pagination.Page;
import com.baomidou.mybatisplus.extension.service.impl.ServiceImpl;
import com.tracy.search.entity.Text;
import com.tracy.search.repository.TextDao;
import org.springframework.beans.factory.annotation.Autowired;
import org.springframework.stereotype.Service;
import org.springframework.transaction.annotation.Transactional;

@Service
@Transactional
public class ManageServiceImpl extends ServiceImpl<TextDao, Text> implements ManageService{

    @Autowired
    TextDao textDao;

    @Override
    public Page<Text> query(Page<Text> textPage, Text text) {
        return textDao.selectPage(textPage,new QueryWrapper<Text>()
                .ge("application_no", text.getApplicationNo())
                .ge("date",text.getDate()));
    }
}

• dao

package com.tracy.search.repository;

import com.baomidou.mybatisplus.core.mapper.BaseMapper;
import com.tracy.search.entity.Text;
import org.springframework.stereotype.Repository;

@Repository
// 继承Mybatis-Plus提供的BaseMapper，提供基础的CRUD及分页方法
public interface TextDao extends BaseMapper<Text> {
}

六、MySQL、Elasticsearch数据同步

1.功能概述

• 需求

在数据管理模块对数据进行写入、删除、修改之后，将会产生MySQL和Elasticsearch数据库之间的数据不一致，因此需要同步。目前想到的解决的办法是监听MySQL的bin log，然后将修改操作同步到Elasticsearch中去。

2.相关配置

• 修改MySQL的配置文件my.ini

log_bin=mysql-bin
binlog-format=ROW

MySQL的binlog-format参数用于控制二进制日志的格式，主要有三种格式：STATEMENT、ROW和MIXED。

1. STATEMENT格式
   STATEMENT格式是MySQL二进制日志的默认格式，它记录了每个SQL语句的操作，即它记录了要执行的SQL语句本身，而不是记录每条记录的修改。当执行UPDATE或DELETE语句时，只会记录修改的行数，而不会记录修改的具体内容。STATEMENT格式的优点是记录的日志量较小，缺点是可能会出现数据不一致的情况。
2. ROW格式
   ROW格式记录了每行记录的修改，即它记录了每条记录的修改，而不是记录要执行的SQL语句本身。当执行UPDATE或DELETE语句时，会记录修改前后的每行记录，而不是记录修改的行数。ROW格式的优点是记录的日志具有很高的可读性，并且能够保证数据一致性，缺点是记录的日志量较大。
3. MIXED格式
   MIXED格式是STATEMENT格式和ROW格式的混合形式，它根据具体情况自动选择使用哪种格式。当执行简单的SQL语句时，使用STATEMENT格式；当执行复杂的SQL语句时，使用ROW格式。MIXED格式的优点是既能够保证数据一致性，又能够减少日志量，缺点是会增加系统的复杂性。

需要注意的是，在选择binlog-format参数时，需要根据实际情况进行选择。如果系统对数据一致性要求较高，应该选择ROW格式；如果系统对日志量要求较高，可以选择STATEMENT格式；如果系统对数据一致性和日志量都有要求，可以选择MIXED格式。

修改配置文件后重启mysql服务，并查看是否配置生效：

show variables like 'log_bin';

• 依赖

        <!-- binlog-->
        <dependency>
            <groupId>com.github.shyiko</groupId>
            <artifactId>mysql-binlog-connector-java</artifactId>
            <version>0.21.0</version>
        </dependency>

• yml配置

spring:
  elasticsearch:
    rest:
      uris: http://es???ip:9200
  redis:
    host: 服务器ip
    database: 0
    port: 6379
  datasource:
    driver-class-name: com.mysql.cj.jdbc.Driver
    url: jdbc:mysql://localhost:3306/数据库名?serverTimezone=UTC&useUnicode=true&characterEncoding=utf-8
    username: root
    password: 密码

#mysql与redis同步需要的配置
sync:
  mysqlHost: localhost
  mysqlPort: 3306
  base: ClaimNet
  table: text
  esHost: ip
  esPort: 9200
  index: text

# MyBatis-Plus的设置
# 别名包扫描路径,为路径下的所有类创建别名
mybatis-plus:
  type-aliases-package: com.tracy.search.entity
  # xml扫描路径，这里的classpath对应的是resources目录
  # 然后在Mapper接口写上自定义方法并关联XML语句，即可实现手写SQL
  mapper-locations: classpath*:mapper/*.xml
  # MyBatis-Plus驼峰转换，配置后不论手写SQL还是接口方法，都能自动映射（默认on）
  configuration:
    map-underscore-to-camel-case: on
    # 配置生成SQL日志
    log-impl: org.apache.ibatis.logging.stdout.StdOutImpl

# 自定义配置变量
redis:
  N: 1000
  hotUser: 1000
  hotKeyword: 1000
  time: 60
  access: 1000

• 同步配置

package com.tracy.search.config;

import com.github.shyiko.mysql.binlog.BinaryLogClient;
import com.github.shyiko.mysql.binlog.event.deserialization.EventDeserializer;
import org.apache.http.HttpHost;
import org.elasticsearch.client.RestClient;
import org.elasticsearch.client.RestHighLevelClient;
import org.springframework.beans.factory.annotation.Value;
import org.springframework.context.annotation.Bean;
import org.springframework.context.annotation.Configuration;

import java.util.concurrent.TimeUnit;

@Configuration
public class SyncConfig {
    @Value("${aync.mysqlHost}")
    private String mysqlHostname;
    @Value("${aync.mysqlPort}")
    private Integer mysqlPort;
    @Value("${spring.datasource.username}")
    private String mysqlUsername;
    @Value("${spring.datasource.password}")
    private String mysqlPassword;

    @Bean
    public BinaryLogClient binaryLogClient(){
        BinaryLogClient binaryLogClient = new BinaryLogClient(mysqlHostname, mysqlPort, mysqlUsername, mysqlPassword);
        //MySQL二进制日志（binlog）客户端的保活时间间隔
        binaryLogClient.setKeepAliveInterval(TimeUnit.SECONDS.toMillis(1));
        //是否开启MySQL二进制日志（binlog）客户端的保活机制
        binaryLogClient.setKeepAlive(true);
        //用来反序列化MySQL binlog事件
        EventDeserializer eventDeserializer = new EventDeserializer();
        eventDeserializer.setCompatibilityMode(
                EventDeserializer.CompatibilityMode.DATE_AND_TIME_AS_LONG,
                EventDeserializer.CompatibilityMode.CHAR_AND_BINARY_AS_BYTE_ARRAY
        );
        binaryLogClient.setEventDeserializer(eventDeserializer);
        return binaryLogClient;
    }
}

3.bin log监控逻辑

package com.tracy.search.sync;

import java.io.IOException;
import java.util.HashMap;
import java.util.Map;

import com.github.shyiko.mysql.binlog.BinaryLogClient;
import com.github.shyiko.mysql.binlog.event.*;
import com.tracy.search.service.SyncService;
import org.springframework.beans.factory.annotation.Autowired;
import org.springframework.beans.factory.annotation.Value;
import org.springframework.data.redis.core.RedisTemplate;
import org.springframework.stereotype.Component;

@Component
public class MysqlElasticsearchSync {
    @Autowired
    RedisTemplate<String,Object> redisTemplate;
    @Autowired
    BinaryLogClient binaryLogClient;
    @Autowired
    SyncService syncService;
    @Value("${sync.base}")
    String basename;
    @Value("${sync.table}")
    String tablename;
    private static final Map<Long,String> tableMap=new HashMap<>();


    public void start() throws IOException {
        String table_name=basename+"."+tablename;
        // 注册MySQL binlog事件监听器
        binaryLogClient.registerEventListener(event -> {
            EventData data = event.getData();
            if (data instanceof TableMapEventData) {
                // 如果是TABLE_MAP事件，获取对应的表的元数据信息
                TableMapEventData tableMapEventData = (TableMapEventData) data;
                long tableId = tableMapEventData.getTableId();
                String tableName = tableMapEventData.getDatabase() + "." + tableMapEventData.getTable();
                tableMap.put(tableId, tableName);
            }
            else if (data instanceof WriteRowsEventData) {
                // 处理插入事件
                WriteRowsEventData eventData = (WriteRowsEventData) data;
                if(table_name.equals(tableMap.get(eventData.getTableId()))){
                    try {
                        syncService.handleInsert(eventData);
                    } catch (Exception e) {
                        e.printStackTrace();
                    }
                }
            } else if (data instanceof DeleteRowsEventData) {
                // 处理删除事件
                DeleteRowsEventData eventData = (DeleteRowsEventData) data;
                if(table_name.equals(tableMap.get(eventData.getTableId()))){
                    try {
                        syncService.handleDelete( eventData);
                    } catch (Exception e) {
                        e.printStackTrace();
                    }
                }
            } else if (data instanceof UpdateRowsEventData) {
                // 处理更新事件
                UpdateRowsEventData eventData = (UpdateRowsEventData) data;
                if(table_name.equals(tableMap.get(eventData.getTableId()))) {
                    try {
                        syncService.handleUpdate(eventData);
                    } catch (Exception e) {
                        e.printStackTrace();
                    }
                }
            }
        });
        binaryLogClient.connect();
    }


}

package com.tracy.search.service;

import com.github.shyiko.mysql.binlog.event.DeleteRowsEventData;
import com.github.shyiko.mysql.binlog.event.UpdateRowsEventData;
import com.github.shyiko.mysql.binlog.event.WriteRowsEventData;

public interface SyncService {
    void handleInsert(WriteRowsEventData eventData);

    void handleDelete(DeleteRowsEventData eventData);

    void handleUpdate(UpdateRowsEventData eventData);
}

package com.tracy.search.service;

import com.github.shyiko.mysql.binlog.event.DeleteRowsEventData;
import com.github.shyiko.mysql.binlog.event.UpdateRowsEventData;
import com.github.shyiko.mysql.binlog.event.WriteRowsEventData;
import com.tracy.search.entity.Text;
import com.tracy.search.repository.TextRepository;
import org.springframework.beans.factory.annotation.Autowired;
import org.springframework.stereotype.Service;

import java.io.Serializable;
import java.util.Map;

@Service
public class SyncServiceImpl implements SyncService {
    @Autowired
    TextRepository textRepository;

    @Override
    public void handleInsert(WriteRowsEventData eventData) {
        Serializable[] row = eventData.getRows().get(0);
        Text text=new Text((Long)row[0],(String)row[1],(String)row[2],(String)row[3],(String)row[4],(String)row[5],(String)row[6]);
        textRepository.save(text);
    }

    @Override
    public void handleDelete(DeleteRowsEventData eventData) {
        Serializable[] row = eventData.getRows().get(0);
        Text text=new Text((Long)row[0],(String)row[1],(String)row[2],(String)row[3],(String)row[4],(String)row[5],(String)row[6]);
        textRepository.delete(text);
    }

    @Override
    public void handleUpdate(UpdateRowsEventData eventData) {
        Map.Entry<Serializable[],Serializable[]> row_entry = eventData.getRows().get(0);
        Text text=new Text((Long)row_entry.getKey()[0],(String)row_entry.getValue()[1],(String)row_entry.getValue()[2],(String)row_entry.getValue()[3],(String)row_entry.getValue()[4],(String)row_entry.getValue()[5],(String)row_entry.getValue()[6]);
        textRepository.save(text);
    }
}

• 项目启动时开启加事件监控

package com.tracy.search;

import com.tracy.search.sync.MysqlElasticsearchSync;
import org.springframework.boot.SpringApplication;
import org.springframework.boot.autoconfigure.SpringBootApplication;
import org.springframework.transaction.annotation.EnableTransactionManagement;

import java.io.IOException;

@EnableTransactionManagement
@SpringBootApplication
public class SearchApplication {

    public static void main(String[] args) throws IOException {
        SpringApplication.run(SearchApplication.class, args);
        new MysqlElasticsearchSync().start();
    }

}

七、权限

关于权限这块先看看我之前写的这篇博客补充一些常识：博客

这一章基于cookie+JWT+token+redis+aop+哈希加密算法来做一个后台权限鉴定的功能。

简单来说，访问后台的用户需要先进入登录界面，进行注册，然后超级管理员有权限审核注册是否能通过；注册通过后就可以进行登录并访问后台；为了不让用户频繁地需要输入密码来访问后台，通过token来保障持续访问权限，直到token过期重新登录并获取token。

1.配置

• yml

auth:
  token_alive: 7200
  secret_key: tracy

• 依赖

 <!--    jwt库    -->
        <dependency>
            <groupId>io.jsonwebtoken</groupId>
            <artifactId>jjwt-api</artifactId>
            <version>0.11.2</version>
        </dependency>

        <dependency>
            <groupId>io.jsonwebtoken</groupId>
            <artifactId>jjwt-impl</artifactId>
            <version>0.11.2</version>
            <scope>runtime</scope>
        </dependency>

        <dependency>
            <groupId>io.jsonwebtoken</groupId>
            <artifactId>jjwt-jackson</artifactId>
            <version>0.11.2</version>
            <scope>runtime</scope>
        </dependency>

2.注册和登录（获取token）

• controller

package com.tracy.search.controller;

import com.tracy.search.entity.User;
import com.tracy.search.service.UserService;
import com.tracy.search.util.Result;
import org.springframework.beans.factory.annotation.Autowired;
import org.springframework.web.bind.annotation.PostMapping;
import org.springframework.web.bind.annotation.RequestBody;
import org.springframework.web.bind.annotation.RestController;

@RestController
public class AuthController {
    @Autowired
    UserService userService;

    @PostMapping("/register")
    public Result<User> register(@RequestBody User user){
        return userService.register(user);
    }
    @PostMapping("/login")
    public Result<User> login(@RequestBody User user){
        return userService.login(user);
    }
}

ManageController中添加：

    @PostMapping("/AcceptRegister")
    public Result<User> acc_register(HttpServletRequest request,@RequestBody User user){
        return userService.acc_register(user);
    }

• service

package com.tracy.search.service;

import com.tracy.search.entity.User;
import com.tracy.search.util.Result;

public interface UserService {
    Result<User> register(User user);

    Result<User> acc_register(User user);

    Result<User> login(User user);
}

package com.tracy.search.service;

import com.baomidou.mybatisplus.core.conditions.query.QueryWrapper;
import com.baomidou.mybatisplus.extension.service.impl.ServiceImpl;
import com.tracy.search.entity.User;
import com.tracy.search.repository.UserDao;
import com.tracy.search.util.Encode;
import com.tracy.search.util.Result;
import com.tracy.search.util.JWT;
import org.springframework.beans.factory.annotation.Autowired;
import org.springframework.beans.factory.annotation.Value;
import org.springframework.data.redis.core.RedisTemplate;
import org.springframework.stereotype.Service;
import org.springframework.transaction.annotation.Transactional;

import java.util.ArrayList;
import java.util.List;
import java.util.concurrent.TimeUnit;

@Service
@Transactional
public class UserServiceImpl extends ServiceImpl<UserDao,User> implements UserService {
    @Autowired
    UserDao userDao;
    @Autowired
    RedisTemplate<String,Object> redisTemplate;
    @Value("${auth.token_alive}")
    Integer token_alive;

    @Override
    public Result<User> register(User user) {
        if(userDao.selectOne(new QueryWrapper<User>().ge("username",user.getUsername()))!=null){
            return new Result<>(1,"用户名已存在",null);
        }
        user.setPassword(Encode.en(user.getPassword()));
        userDao.insert(user);
        return new Result<>(0,"",null);
    }

    @Override
    public Result<User> acc_register(User user) {
        user.setAccept(true);
        userDao.updateById(user);
        return new Result<>(0,"",null);
    }

    @Override
    public Result<User> login(User user) {
        //判断是否存在该用户、密码是否正确、是否是已注册用户
        user.setPassword(Encode.en(user.getPassword()));
        if(userDao.selectOne(new QueryWrapper<User>()
                .ge("username",user.getUsername())
                .ge("password",user.getPassword())
                .ge("accept",1))!=null){
            //生成token，redis缓存token，并返回
            user.setToken(JWT.generate(user.getUsername()));
            List<User> data=new ArrayList<>();
            data.add(user);
            redisTemplate.opsForValue().set(user.getUsername(),user.getToken());
            redisTemplate.expire(user.getUsername(), token_alive, TimeUnit.SECONDS);
            return new Result<>(0, "", data);
        }else{
            return new Result<>(1,"用户不存在或密码错误",null);
        }
    }
}

• dao

package com.tracy.search.repository;

import com.baomidou.mybatisplus.core.mapper.BaseMapper;
import com.tracy.search.entity.User;
import org.springframework.stereotype.Repository;

@Repository
public interface UserDao extends BaseMapper<User> {

}

• 哈希算法工具类

package com.tracy.search.util;

public class Encode {
    public static String en(String password){
        StringBuilder sb0=new StringBuilder();
        //转为数字
        for(char c:password.toCharArray()){
            sb0.append(c-'0');
        }
        System.out.println("step1: "+sb0);
        //将字符长度填充为3的倍数
        while(sb0.length()%3!=0){
            sb0.append(0);
        }
        //将中间位置的字符作为哈希值
        int hash=Integer.parseInt(sb0.charAt(sb0.length()/2)+"");
        System.out.println("hash: "+hash);
        //每一个字符对哈希值求余
        StringBuilder sb1=new StringBuilder();
        for(char c:sb0.toString().toCharArray()){
            sb1.append(Integer.parseInt(c+"")%hash);
        }
        System.out.println("step2: "+sb1);
        //数字字符串转为混合字符串
        sb0=new StringBuilder();
        for(char c:sb1.toString().toCharArray()){
            sb0.append((char)(Integer.parseInt(c+"")+'a'));
        }
        return sb0.toString();
    }
}

• JWT生成和解析工具类：

package com.tracy.search.util;

import org.springframework.beans.factory.annotation.Value;
import io.jsonwebtoken.Claims;
import io.jsonwebtoken.Jwts;
import io.jsonwebtoken.SignatureAlgorithm;

import java.util.Date;

public class JWT {
    //不公开的密钥
    @Value("${auth.secret_key}")
    private static String secret_key;
    @Value("${auth.token_alive}")
    private static Integer token_alive;

    public static String generate(String username){
        Date now = new Date();
        Date expirationDate = new Date(now.getTime() +token_alive );

        return Jwts.builder()
                .setSubject(username)
                .setIssuedAt(now)
                .setExpiration(expirationDate)
                .signWith(SignatureAlgorithm.HS256, secret_key)
                .compact();
    }

    public static Claims parse(String token) {
        return Jwts.parser()
                .setSigningKey(secret_key)
                .parseClaimsJws(token)
                .getBody();
    }
}

• 返回结果封装工具类

package com.tracy.search.util;

import lombok.AllArgsConstructor;
import lombok.Data;
import lombok.NoArgsConstructor;

import java.util.List;

@Data
@NoArgsConstructor
@AllArgsConstructor
public class Result<T> {
    private int code;//0表示成功、1表示失败
    private String message;
    private List<T> data;
}

3.aop实现权限拦截

package com.tracy.search.aop;


import com.tracy.search.controller.AuthController;
import com.tracy.search.util.JWT;
import io.jsonwebtoken.Claims;
import org.aspectj.lang.JoinPoint;
import org.aspectj.lang.annotation.Aspect;
import org.aspectj.lang.annotation.Before;
import org.springframework.beans.factory.annotation.Autowired;
import org.springframework.data.redis.core.RedisTemplate;
import org.springframework.stereotype.Component;

import javax.servlet.http.Cookie;
import javax.servlet.http.HttpServletRequest;
import java.util.Date;

@Aspect
@Component
public class AuthAspect {
    @Autowired
    RedisTemplate<String,Object> redisTemplate;
    @Autowired
    AuthController authController;

    @Before("execution(* com.tracy.search.controller.ManageController.*(..)) || " +
            "execution(* com.tracy.search.controller.AnalysisController.*(..)) ")
    public void checkToken(JoinPoint joinPoint){
        HttpServletRequest request=(HttpServletRequest)joinPoint.getArgs()[0];
        Cookie[] cookies=request.getCookies();
        //如果没有token，抛出异常
        String token=null;
        String username=null;
        for(Cookie c:cookies){
            if(c.getName().equals("token")){
                token=c.getValue();
            }
            if(c.getName().equals("username")){
                username=c.getValue();
            }
        }
        if(token==null||username==null){
            throw new SecurityException("请登录");
        }
        //获取到token，判断token是否有效，是否过期
        if(Boolean.TRUE.equals(redisTemplate.hasKey(username)) &&redisTemplate.opsForValue().get(username).equals(token)){
            return;
        }
        Claims claims = JWT.parse(token);
        if(!claims.getSubject().equals(username)||claims.getExpiration().before(new Date())){
            throw new SecurityException("请登录");
        }
    }
}