内容介绍
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| 1、数据字典列表前端 2、EasyExcel介绍、实例 3、数据字典导出接口、前端 4、数据字典导入接口、前端 5、数据字典添加redis缓存 6、MongoDB简介 7、MongoDB安装 8、MongoDB基本概念 |
数据字典列表前端
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| 1、测试问题 （1）报错日志 
（2）问题定位 URL错误 
（3）解决问题 
2、nginx （1）基本功能 反向代理、负载均衡、动静分离 （2）安装 
解压即可使用 （3）启动 
（4）修改配置 server { listen 9001; server_name localhost; location ~/hosp/ { proxy_pass http://localhost:8201; } location ~/cmn/ { proxy_pass http://localhost:8202; } } 重启服务或重新加载（nginx.exe -s reload）才可生效 （5）测试访问后端接口 http://localhost:9001/admin/hosp/hospitalSet/findAll 
（6）改造前端 
重启生效 
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EasyExcel介绍、实例
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| 1、是什么 EasyExcel是阿里巴巴开源的一个excel处理框架，以使用简单、节省内存著称。 2、为什么 没有将文件数据一次性全部加载到内存中，而是从磁盘上一行行读取数据，逐个解析。 3、准备工作 （1）cmn导入依赖 <dependencies> \<!-- https://mvnrepository.com/artifact/com.alibaba/easyexcel --\><dependency> <groupId>com.alibaba</groupId> <artifactId>easyexcel</artifactId> <version>2.1.1</version> </dependency> </dependencies> （2）创建目录、创建实体 @Data public class Stu { //设置表头名称 @ExcelProperty("学生编号") private int sno; //设置表头名称 @ExcelProperty("学生姓名") private String sname; } 4、实现写操作 public class WriterTest { public static void main(String[] args) { String fileName = "D:\\test\\230308\\a.xlsx"; EasyExcel.write(fileName,Stu.class) .sheet("学员信息").doWrite(data()); } //循环设置要添加的数据，最终封装到list集合中 private static List<Stu> data() { List<Stu> list = new ArrayList<Stu>(); for (int i = 0; i < 10; i++) { Stu data = new Stu(); data.setSno(i); data.setSname("张三"+i); list.add(data); } return list; } } 5、实现读操作 （1）改造实体 @Data public class Stu { //设置表头名称 @ExcelProperty(value = "学生编号",index = 0) private int sno; //设置表头名称 @ExcelProperty(value = "学生姓名",index = 1) private String sname; } （2）创建监听器 public class ExcelListener extends AnalysisEventListener<Stu> { @Override public void invoke(Stu stu, AnalysisContext analysisContext) { //可以实现调用接口，数据入库 System.out.println("stu = " + stu); } //读取excel表头信息 @Override public void invokeHeadMap(Map<Integer, String> headMap, AnalysisContext context) { System.out.println("表头信息："+headMap); } @Override public void doAfterAllAnalysed(AnalysisContext analysisContext) { } } （3）读数据实例 public class ReadTest { public static void main(String[] args) { String fileName = "D:\\test\\230308\\a.xlsx"; EasyExcel.read(fileName,Stu.class,new ExcelListener()).sheet().doRead(); } } |
数据字典导出、前端
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| 1、准备工作 （1）确认依赖 
（2）确认对象 
2、实现导出接口 （1）分析接口 *参数：response *返回值：无 （2）实现controller @ApiOperation(value="导出") @GetMapping(value = "/exportData") public void exportData(HttpServletResponse response) { dictService.exportData(response); } （3）实现service //导出 @Override public void exportData(HttpServletResponse response) { try { //1设置response参数 response.setContentType("application/vnd.ms-excel"); response.setCharacterEncoding("utf-8"); //这里URLEncoder.encode可以防止中文乱码当然和easyexcel没有关系 String fileName = URLEncoder.encode("数据字典", "UTF-8"); response.setHeader("Content-disposition", "attachment;filename="+ fileName + ".xlsx"); //2查询数据字典表数据List\<Dict\>List<Dict> dictList = baseMapper.selectList(null); //3遍历集合List\<Dict\>转型List\<DictEeVo\>List<DictEeVo> dictEeVoList = new ArrayList<>(); for (Dict dict : dictList) { DictEeVo dictEeVo = new DictEeVo(); BeanUtils.copyProperties(dict,dictEeVo); dictEeVoList.add(dictEeVo); } //4调用工具方法导出数据 ServletOutputStream outputStream = response.getOutputStream(); EasyExcel.write(outputStream,DictEeVo.class) .sheet("数据字典").doWrite(dictEeVoList); } catch (IOException e) { throw new YyghException(20001,"导出失败"); } } 3、对接前端 （1）添加页面元素 bash <div class="el-toolbar"> <div class="el-toolbar-body" style="justify-content: flex-start;"> <el-button type="text" @click="exportData"> <i class="fa fa-plus"/> 导出 </el-button> </div> </div> （2）实现js方法 //导出数据 exportData(){ window.open(`${process.env.VUE_APP_BASE_API}admin/cmn/dict/exportData`) } （3）测试 
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数据字典导入、前端
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| 1、数据字典导入接口 （1）分析接口 *参数:file *返回值:R.ok() （2）实现controller @ApiOperation(value = "导入") @PostMapping("importData") public R importData(MultipartFile file) { dictService.importData(file); return R.ok(); } （3）创建监听器 @Component public class DictListener extends AnalysisEventListener<DictEeVo> { @Autowired private DictMapper dictMapper; //手动注入，使用有参构造 //private DictMapper dictMapper;@Override public void invoke(DictEeVo dictEeVo, AnalysisContext analysisContext) { //1转化数据类型DictEeVo=》DictDict dict = new Dict(); BeanUtils.copyProperties(dictEeVo,dict); //2补充数据 dict.setIsDeleted(0); //3数据入库 dictMapper.insert(dict); } @Override public void doAfterAllAnalysed(AnalysisContext analysisContext) { } } （4）实现service @Autowired private DictListener dictListener; //导入 @Override public void importData(MultipartFile file) { try { InputStream inputStream = file.getInputStream(); EasyExcel.read(inputStream,DictEeVo.class,dictListener).sheet().doRead(); } catch (IOException e) { throw new YyghException(20001,"导入失败"); } } （5）测试 
2、对接前端 （1）分析需求 
（2）查看组件 
（3）添加页面元素 <div class="el-toolbar"> <div class="el-toolbar-body" style="justify-content: flex-start;"> <el-button type="text" @click="exportData"> <i class="fa fa-plus"/> 导出 </el-button> <el-button type="text" @click="importData"><i class="fa fa-plus"/> 导入</el-button> </div> </div> <el-dialog title="导入" :visible.sync="dialogImportVisible" width="480px"> <el-form label-position="right" label-width="170px"> <el-form-item label="文件"> <el-upload :multiple="false" :on-success="onUploadSuccess" :action="BASE_URL+'admin/cmn/dict/importData'" class="upload-demo" > <el-button size="small" type="primary">点击上传</el-button> <div slot="tip" class="el-upload__tip">只能上传xls文件，且不超过500kb</div> </el-upload> </el-form-item> </el-form> <div slot="footer" class="dialog-footer"> <el-button @click="dialogImportVisible = false">取消</el-button> </div> </el-dialog> （4）实现js *属性 data() { return { list: [], dialogImportVisible: false, //对话框是否显示 BASE_URL: process.env.VUE_APP_BASE_API //基础访问地址 }; }, ...... *方法 //打开导入窗口 importData() { this.dialogImportVisible = true; }, //导入成功方法 onUploadSuccess(response, file) { this.$message.success("上传成功"); this.dialogImportVisible = false; this.getData(); } |
数据字典添加redis缓存
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| 1、redis回顾 2、准备工作 （1）虚拟机 （2）安装redis （3）检查配置 
（4）启动redis 
3、redis缓存访问机制 
4、整合redis （1）common_utils模块，添加redis依赖 <dependencies> \<!-- redis --\><dependency> <groupId>org.springframework.boot</groupId> <artifactId>spring-boot-starter-data-redis</artifactId> </dependency> \<!-- spring2.X集成redis所需common-pool2--\><dependency> <groupId>org.apache.commons</groupId> <artifactId>commons-pool2</artifactId> <version>2.6.0</version> </dependency> </dependencies> （2）common_utils模块，添加Redis配置类 
@Configuration @EnableCaching public class RedisConfig { /\*\* \*设置RedisTemplate规则 \* @paramredisConnectionFactory\* @return \*/@Bean public RedisTemplate<Object, Object> redisTemplate(RedisConnectionFactory redisConnectionFactory) { RedisTemplate<Object, Object> redisTemplate = new RedisTemplate<>(); redisTemplate.setConnectionFactory(redisConnectionFactory); Jackson2JsonRedisSerializer jackson2JsonRedisSerializer = new Jackson2JsonRedisSerializer(Object.class); //解决查询缓存转换异常的问题 ObjectMapper om = new ObjectMapper(); //指定要序列化的域，field,get和set,以及修饰符范围，ANY是都有包括private和publicom.setVisibility(PropertyAccessor.ALL, JsonAutoDetect.Visibility.ANY); //指定序列化输入的类型，类必须是非final修饰的，final修饰的类，比如String,Integer等会跑出异常 om.enableDefaultTyping(ObjectMapper.DefaultTyping.NON_FINAL); jackson2JsonRedisSerializer.setObjectMapper(om); //序列号key valueredisTemplate.setKeySerializer(new StringRedisSerializer()); redisTemplate.setValueSerializer(jackson2JsonRedisSerializer); redisTemplate.setHashKeySerializer(new StringRedisSerializer()); redisTemplate.setHashValueSerializer(jackson2JsonRedisSerializer); redisTemplate.afterPropertiesSet(); return redisTemplate; } /\*\* \*设置CacheManager缓存规则 \* @paramfactory\* @return \*/@Bean public CacheManager cacheManager(RedisConnectionFactory factory) { RedisSerializer<String> redisSerializer = new StringRedisSerializer(); Jackson2JsonRedisSerializer jackson2JsonRedisSerializer = new Jackson2JsonRedisSerializer(Object.class); //解决查询缓存转换异常的问题 ObjectMapper om = new ObjectMapper(); om.setVisibility(PropertyAccessor.ALL, JsonAutoDetect.Visibility.ANY); om.enableDefaultTyping(ObjectMapper.DefaultTyping.NON_FINAL); jackson2JsonRedisSerializer.setObjectMapper(om); //配置序列化（解决乱码的问题）,过期时间600秒 RedisCacheConfiguration config = RedisCacheConfiguration.defaultCacheConfig() .entryTtl(Duration.ofSeconds(600)) .serializeKeysWith(RedisSerializationContext.SerializationPair.fromSerializer(redisSerializer)) .serializeValuesWith(RedisSerializationContext.SerializationPair.fromSerializer(jackson2JsonRedisSerializer)) .disableCachingNullValues(); RedisCacheManager cacheManager = RedisCacheManager.builder(factory) .cacheDefaults(config) .build(); return cacheManager; } } （3）在service_cmn模块添加redis配置 spring.redis.host=192.168.140.138 spring.redis.port=6379 spring.redis.database= 0 spring.redis.timeout=1800000 spring.redis.lettuce.pool.max-active=20 spring.redis.lettuce.pool.max-wait=-1 #最大阻塞等待时间(负数表示没限制)spring.redis.lettuce.pool.max-idle=5 spring.redis.lettuce.pool.min-idle=0 (4)查询方法添加注解 @Override // redis k:v k=dict::selectIndexList v=List\<Dict\>@Cacheable(value = "dict", key = "'selectIndexList'") public List<Dict> findChildData(Long id) { //1拼写查询条件 LambdaQueryWrapper<Dict> wrapper = new LambdaQueryWrapper<>(); wrapper.eq(Dict::getParentId,id); //2查询子数据集合 List<Dict> dictList = baseMapper.selectList(wrapper); //3遍历集合,确认是否有子数据 for (Dict dict : dictList) { boolean isChildren = this.isChildren(dict); dict.setHasChildren(isChildren); } return dictList; } 5、问题解决 （1）问题描述 *一级数据可以走缓存 *二级数据加载不出来 
（2）问题定位 
*二级数据查询需要查询数据库 *二级数据没有查询数据库，查询缓存获取一级数据 （3）解决方案 让多次查询redis缓存的key不一样 //根据数据id查询子数据列表 @Override // redis k:v k=dict::selectIndexList v=List\<Dict\>@Cacheable(value = "dict", key = "'selectIndexList'+#id") public List<Dict> findChildData(Long id) { //1拼写查询条件 LambdaQueryWrapper<Dict> wrapper = new LambdaQueryWrapper<>(); wrapper.eq(Dict::getParentId,id); //2查询子数据集合 List<Dict> dictList = baseMapper.selectList(wrapper); //3遍历集合,确认是否有子数据 for (Dict dict : dictList) { boolean isChildren = this.isChildren(dict); dict.setHasChildren(isChildren); } return dictList; } 4、redis缓存写操作同步机制 
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MongoDB简介
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| 1 NoSQL概述 2、MongoDB是什么 MongoDB 是由C++语言编写的，是一个基于分布式文件存储的开源数据库系统。 MongoDB 是文档型NOSQL数据库 |
MongoDB安装
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| 1、安装 （1）确认docker服务 
（2）下载 docker pull mongo:latest docker pull mongo:4.4.8 
（3）创建和启动容器 docker run -d --restart=always -p 27017:27017 --name mymongo -v /data/db:/data/db -d mongo:4.4.8 
(4)进入容器 docker exec -it mymongo /bin/bash 
（5）进入mongo mongo 新版本：mongosh 
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MongoDB概念介绍
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| 1、与mysql对比 
2、数据库（文件柜） （1）Help查看命令提示 db.help(); （2）use test 如果数据库不存在，则创建数据库，否则切换到指定数据库 （3） 查询所有数据库 show dbs; （4）删除当前使用数据库 db.dropDatabase(); （5）查看当前使用的数据库 db.getName(); （6）显示当前db状态 db.stats(); （7）当前db版本 db.version(); （8） 查看当前db的链接机器地址 db.getMongo(); 3、集合（抽屉） 1、 创建一个集合（table) db.createCollection( "user"); 2、 得到指定名称的集合（table ) db.getCollection("user"); 4、文档 文档是一组键值(key-value)对(即BSON)。MongoDB 的文档不需要设置相同的字段，并且相同的字段不需要相同的数据类型，这与关系型数据库有很大的区别 （1）数据类型 
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