Spring MVC - @RequestBody and @ResponseBody demystified

本文探讨了SpringMVC框架中的@RequestBody和@ResponseBody注解如何简化对象的序列化与反序列化过程,避免了冗余代码,并支持多种格式的REST资源交互。通过示例介绍了SpringMVC如何利用HttpMessageConverters进行请求与响应的转换。

Spring MVC - @RequestBody and @ResponseBody demystified

In this post i want to dig into spring mvc a little, revealing what happens behind the scenes when a request is converted to your parameter object and vice versa. Before we start, i want to explain the purpose of these annotations.

What are @RequestBody and @ResponseBody for?


They are annotations of the spring mvc framework and can be used in a controller to implement smart object serialization and deserialization. They help you avoid boilerplate code by extracting the logic of messageconversion and making it an aspect. Other than that they help you support multiple formats for a single REST resource without duplication of code. If you annotate a method with @ResponseBody, spring will try to convert its return value and write it to the http response automatically. If you annotate a methods parameter with @RequestBody, spring will try to convert the content of the incoming request body to your parameter object on the fly.

Here is an example

@Controller
@RequestMapping(value = "/bookcase")
public class BookCaseController {

    private BookCase bookCase;

    @RequestMapping(method = RequestMethod.GET)
    @ResponseBody
    public BookCase getBookCase() {
        return this.bookCase;
    }

    @RequestMapping(method = RequestMethod.PUT)
    @ResponseStatus(HttpStatus.NO_CONTENT)
    public void setBookCase(@RequestBody BookCase bookCase) {
        this.bookCase = bookCase;
    }

}

So what is Spring doing behind the scenes when we are using those Annotations?


Depending on your configuration, spring has a list of HttpMessageConverters registered in the background. A HttpMessageConverters responsibility is to convert the request body to a specific class and back to the response body again, depending on a predefined mime type. Every time an issued request is hitting a @RequestBody or @ResponseBody annotation spring loops through all registered HttpMessageConverters seeking for the first that fits the given mime type and class and then uses it for the actual conversion.

How can i add a custom HttpMessageConverter?


By adding @EnableWebMvc respectively <mvc:annotation-driven />, spring registers a bunch of predefined messageconverters for JSON/XML and so on. You can add a custom converter like the following

@Configuration
@EnableWebMvc
@ComponentScan
public class WebConfiguration extends WebMvcConfigurerAdapter {

    @Override
    public void configureMessageConverters(List<HttpMessageConverter<?>> httpMessageConverters) {
        httpMessageConverters.add(new BookCaseMessageConverter(new MediaType("text", "csv")));
    }
}

In this example i've written a converter that handles the conversion of a BookCase, which is basically a List of Books. The converter is able to convert csv content to a BookCase and vice versa. I used opencsv to parse the text.

Here is the model

public class Book {

    private String isbn;

    private String title;

    public Book(String isbn, String title) {
        this.isbn = isbn;
        this.title = title;
    }

    // ...
}

public class BookCase extends ArrayList<Book> {

    public BookCase() {
    }

    public BookCase(Collection<? extends Book> c) {
        super(c);
    }
}

and the actual converter

public class BookCaseMessageConverter extends AbstractHttpMessageConverter<BookCase> {

    public BookCaseMessageConverter() {
    }

    public BookCaseMessageConverter(MediaType supportedMediaType) {
        super(supportedMediaType);
    }

    public BookCaseMessageConverter(MediaType... supportedMediaTypes) {
        super(supportedMediaTypes);
    }

    @Override
    protected boolean supports(Class<?> clazz) {
        return BookCase.class.equals(clazz);
    }

    @Override
    protected BookCase readInternal(Class<? extends BookCase> clazz, HttpInputMessage httpInputMessage) throws IOException, HttpMessageNotReadableException {
        CSVReader reader = new CSVReader(new InputStreamReader(httpInputMessage.getBody()));
        List<String[]> rows = reader.readAll();
        BookCase bookCase = new BookCase();
        for (String[] row : rows) {
            bookCase.add(new Book(row[0], row[1]));
        }
        return bookCase;
    }

    @Override
    protected void writeInternal(BookCase books, HttpOutputMessage httpOutputMessage) throws IOException, HttpMessageNotWritableException {
        CSVWriter writer = new CSVWriter(new OutputStreamWriter(httpOutputMessage.getBody()));
        for (Book book : books) {
            writer.writeNext(new String[]{book.getIsbn(), book.getTitle()});
        }
        writer.close();
    }
}

The Result 

We can now issue text/csv requests to our Resource along with application/json and xml which are basically supported out of the box.

1.)
PUT /bookcase
Content-Type: text/csv
"123","Spring in Action"
"456","Clean Code"

Response
204 No Content
2.)
GET /bookcase
Accept: text/csv

Response
200 OK
"123","Spring in Action"
"456","Clean Code"

Thanks to the design of spring mvc, which is following the single responsibility principle, our controller stays thin. We don't have to add a single line if we want to support new media types.
内容概要:本文介绍了ENVI Deep Learning V1.0的操作教程,重点讲解了如何利用ENVI软件进行深度学习模型的训练与应用,以实现遥感图像中特定目标(如集装箱)的自动提取。教程涵盖了从数据准备、标签图像创建、模型初始化与训练,到执行分类及结果优化的完整流程,并介绍了精度评价与通过ENVI Modeler实现一键化建模的方法。系统基于TensorFlow框架,采用ENVINet5(U-Net变体)架构,支持通过点、线、面ROI或分类图生成标签数据,适用于多/高光谱影像的单一类别特征提取。; 适合人群:具备遥感图像处理基础,熟悉ENVI软件操作,从事地理信息、测绘、环境监测等相关领域的技术人员或研究人员,尤其是希望将深度学习技术应用于遥感目标识别的初学者与实践者。; 使用场景及目标:①在遥感影像中自动识别和提取特定地物目标(如车辆、建筑、道路、集装箱等);②掌握ENVI环境下深度学习模型的训练流程与关键参数设置(如Patch Size、Epochs、Class Weight等);③通过模型调优与结果反馈提升分类精度,实现高效自动化信息提取。; 阅读建议:建议结合实际遥感项目边学边练,重点关注标签数据制作、模型参数配置与结果后处理环节,充分利用ENVI Modeler进行自动化建模与参数优化,同时注意软硬件环境(特别是NVIDIA GPU)的配置要求以保障训练效率。
内容概要:本文系统阐述了企业新闻发稿在生成式引擎优化(GEO)时代下的全渠道策略与效果评估体系,涵盖当前企业传播面临的预算、资源、内容与效果评估四大挑战,并深入分析2025年新闻发稿行业五大趋势,包括AI驱动的智能化转型、精准化传播、首发内容价值提升、内容资产化及数据可视化。文章重点解析央媒、地方官媒、综合门户和自媒体四类媒体资源的特性、传播优势与发稿策略,提出基于内容适配性、时间节奏、话题设计的策略制定方法,并构建涵盖品牌价值、销售转化与GEO优化的多维评估框架。此外,结合“传声港”工具实操指南,提供AI智能投放、效果监测、自媒体管理与舆情应对的全流程解决方案,并针对科技、消费、B2B、区域品牌四大行业推出定制化发稿方案。; 适合人群:企业市场/公关负责人、品牌传播管理者、数字营销从业者及中小企业决策者,具备一定媒体传播经验并希望提升发稿效率与ROI的专业人士。; 使用场景及目标:①制定科学的新闻发稿策略,实现从“流量思维”向“价值思维”转型;②构建央媒定调、门户扩散、自媒体互动的立体化传播矩阵;③利用AI工具实现精准投放与GEO优化,提升品牌在AI搜索中的权威性与可见性;④通过数据驱动评估体系量化品牌影响力与销售转化效果。; 阅读建议:建议结合文中提供的实操清单、案例分析与工具指南进行系统学习,重点关注媒体适配性策略与GEO评估指标,在实际发稿中分阶段试点“AI+全渠道”组合策略,并定期复盘优化,以实现品牌传播的长期复利效应。
### `@RequestMapping`及其衍生注解 - **`@RequestMapping`**:是一个用来处理请求地址映射的注解,可用于类或方法上。用于类上,表示类中的所有响应请求的方法都是以该地址作为父路径;用于方法上,表示在类的父路径下追加方法上注解中的地址将会访问到该方法。需注意,`@RequestMapping`用在类上可以没有,但用在方法上必须有。示例如下: ```java @Controller @RequestMapping(value = "/controllers") public class StatisticUserCtrl { @RequestMapping(value = "/method") public String helloworld() { return "helloWorld"; } } ``` - **衍生注解**: - **`@GetMapping`**:是`@RequestMapping(method = RequestMethod.GET)`的缩写,用于处理HTTP GET请求。 - **`@PostMapping`**:是`@RequestMapping(method = RequestMethod.POST)`的缩写,用于处理HTTP POST请求。 - **`@PutMapping`**:是`@RequestMapping(method = RequestMethod.PUT)`的缩写,用于处理HTTP PUT请求。 - **`@DeleteMapping`**:是`@RequestMapping(method = RequestMethod.DELETE)`的缩写,用于处理HTTP DELETE请求。 ### `@RequestBody` 该注解用于将HTTP请求体中的数据绑定到方法的参数上,通常用于处理JSON、XML等格式的数据。示例如下: ```java @PostMapping("/users") public User createUser(@RequestBody User user) { // 处理用户创建逻辑 return user; } ``` ### `@RequestParam` 用于从请求的URL参数中获取值,并将其绑定到方法的参数上。示例如下: ```java @GetMapping("/users") public List<User> getUsers(@RequestParam("page") int page, @RequestParam("size") int size) { // 根据分页参数查询用户列表 return userService.getUsers(page, size); } ``` ### `@PathVariable` 用于从请求的URL路径中获取变量值,并将其绑定到方法的参数上。示例如下: ```java @GetMapping("/users/{id}") public User getUserById(@PathVariable("id") int id) { // 根据用户ID查询用户信息 return userService.getUserById(id); } ``` ### `@ResponseBody` 用于将方法的返回值直接作为HTTP响应体返回给客户端,通常用于返回JSON、XML等数据。示例如下: ```java @GetMapping("/users/{id}") @ResponseBody public User getUserById(@PathVariable("id") int id) { // 根据用户ID查询用户信息 return userService.getUserById(id); } ```
评论
成就一亿技术人!
拼手气红包6.0元
还能输入1000个字符
 
红包 添加红包
表情包 插入表情
 条评论被折叠 查看
添加红包

请填写红包祝福语或标题

红包个数最小为10个

红包金额最低5元

当前余额3.43前往充值 >
需支付:10.00
成就一亿技术人!
领取后你会自动成为博主和红包主的粉丝 规则
hope_wisdom
发出的红包
实付
使用余额支付
点击重新获取
扫码支付
钱包余额 0

抵扣说明:

1.余额是钱包充值的虚拟货币,按照1:1的比例进行支付金额的抵扣。
2.余额无法直接购买下载,可以购买VIP、付费专栏及课程。

余额充值