信创环境下JSP怎样支持国产化文件夹上传的解决方案？

最新推荐文章于 2025-12-16 16:02:25 发布

原创最新推荐文章于 2025-12-16 16:02:25 发布 · 1k 阅读

29 ·

CC 4.0 BY-SA版权

文章标签：

#java #开发语言 #java大文件上传 #java大文件秒传 #java大文件上传下载 #java文件传输解决方案 #jsp大文件上传

大文件传输系统技术方案

需求分析与技术挑战

作为深圳软件有限公司的项目负责人，我们深入分析了贵公司对大文件传输系统的需求，主要面临以下技术挑战：

超大文件处理：单文件100G的高效传输
文件夹结构保留：完整保留层级结构，非打包传输
高稳定性断点续传：浏览器刷新/关闭不丢失进度
多环境兼容性：跨平台(Windows/macOS/Linux)、跨浏览器(含IE8)
安全要求：支持SM4/AES加密，传输与存储安全
高并发下载：避免服务器资源耗尽
现有系统集成：兼容JSP/Spring Boot/Vue/React等技术栈

技术架构设计

整体架构

[客户端] ---HTTPS(加密)---> [Nginx负载均衡] ---> [应用服务集群]
                                     |
                                     v
[阿里云OSS] <---加密存储---> [文件处理服务] <---> [MySQL集群]

核心技术选型

文件分片：采用动态分片策略(默认10MB/片，大文件自动调整)
断点续传：基于Redis+MySQL的双重进度保存机制
文件夹处理：虚拟文件系统(VFS)维护目录结构
加密模块：国密SM4与AES可插拔式加密组件
传输优化：TCP BBR拥塞控制算法+多线程传输

核心功能代码示例

前端上传组件(Vue2示例)




export default {
  data() {
    return {
      files: [],
      progress: 0,
      uploadId: '',
      chunkSize: 10 * 1024 * 1024, // 10MB
      concurrentLimit: 3
    }
  },
  methods: {
    handleFileChange(e) {
      this.files = Array.from(e.target.files)
      this.prescanFiles(this.files)
    },
    async prescanFiles(files) {
      const { data } = await this.$http.post('/api/upload/prepare', {
        files: files.map(f => ({
          name: f.name,
          size: f.size,
          relativePath: f.webkitRelativePath || ''
        }))
      })
      this.uploadId = data.uploadId
    },
    async startUpload() {
      for (const file of this.files) {
        await this.uploadFile(file)
      }
    },
    async uploadFile(file) {
      const totalChunks = Math.ceil(file.size / this.chunkSize)
      const chunks = Array(totalChunks).fill().map((_, i) => ({
        index: i,
        start: i * this.chunkSize,
        end: Math.min(file.size, (i + 1) * this.chunkSize)
      }))
      
      // 并发控制上传
      const queue = []
      for (let i = 0; i < chunks.length; i++) {
        const chunk = chunks[i]
        const blob = file.slice(chunk.start, chunk.end)
        
        queue.push(this.uploadChunk(file, blob, chunk))
        
        if (queue.length >= this.concurrentLimit) {
          await Promise.all(queue)
          queue.length = 0
        }
      }
      await Promise.all(queue)
      
      // 完成上传
      await this.$http.post('/api/upload/complete', {
        uploadId: this.uploadId,
        fileName: file.name,
        fileSize: file.size,
        totalChunks,
        filePath: file.webkitRelativePath || ''
      })
    },
    async uploadChunk(file, blob, chunk) {
      const formData = new FormData()
      formData.append('file', blob)
      formData.append('uploadId', this.uploadId)
      formData.append('chunkIndex', chunk.index)
      formData.append('fileName', file.name)
      formData.append('filePath', file.webkitRelativePath || '')
      
      try {
        await this.$http.post('/api/upload/chunk', formData, {
          onUploadProgress: progressEvent => {
            const percent = Math.round((progressEvent.loaded / progressEvent.total) * 100)
            this.updateProgress(file.name, chunk.index, percent)
          }
        })
      } catch (error) {
        console.error('上传分片失败:', error)
        await this.uploadChunk(file, blob, chunk) // 自动重试
      }
    },
    updateProgress(fileName, chunkIndex, percent) {
      // 更新进度逻辑
    }
  }
}

后端核心处理(Spring Boot示例)

@RestController
@RequestMapping("/api/upload")
public class FileUploadController {
    
    @Autowired
    private FileStorageService storageService;
    
    @Autowired
    private RedisTemplate redisTemplate;
    
    @PostMapping("/prepare")
    public ResponseEntity prepareUpload(@RequestBody UploadPrepareRequest request) {
        String uploadId = UUID.randomUUID().toString();
        
        // 初始化上传任务
        UploadSession session = new UploadSession();
        session.setUploadId(uploadId);
        session.setFiles(request.getFiles());
        session.setStatus(UploadStatus.INITIALIZED);
        session.setCreatedAt(new Date());
        
        // 存储到Redis和数据库
        redisTemplate.opsForValue().set("upload:" + uploadId, session);
        storageService.saveUploadSession(session);
        
        return ResponseEntity.ok(new UploadPrepareResponse(uploadId));
    }
    
    @PostMapping("/chunk")
    public ResponseEntity uploadChunk(
            @RequestParam("file") MultipartFile file,
            @RequestParam("uploadId") String uploadId,
            @RequestParam("chunkIndex") int chunkIndex,
            @RequestParam("fileName") String fileName,
            @RequestParam(value = "filePath", required = false) String filePath) {
        
        // 验证上传会话
        UploadSession session = (UploadSession) redisTemplate.opsForValue().get("upload:" + uploadId);
        if (session == null || session.getStatus() != UploadStatus.INITIALIZED) {
            return ResponseEntity.status(HttpStatus.BAD_REQUEST).body("无效的上传会话");
        }
        
        try {
            // 加密存储分片
            byte[] encryptedChunk = CryptoUtils.encrypt(file.getBytes(), 
                storageService.getEncryptionAlgorithm(), 
                storageService.getEncryptionKey());
            
            String chunkKey = String.format("%s/%s/%d", uploadId, fileName, chunkIndex);
            storageService.storeChunk(chunkKey, encryptedChunk, filePath);
            
            // 更新进度
            session.getChunkStatuses().put(chunkKey, ChunkStatus.COMPLETED);
            redisTemplate.opsForValue().set("upload:" + uploadId, session);
            
            return ResponseEntity.ok().build();
        } catch (Exception e) {
            return ResponseEntity.status(HttpStatus.INTERNAL_SERVER_ERROR)
                .body("分片上传失败: " + e.getMessage());
        }
    }
    
    @PostMapping("/complete")
    public ResponseEntity completeUpload(@RequestBody UploadCompleteRequest request) {
        // 验证所有分片已上传
        // 合并分片
        // 生成最终文件元数据
        // 清理临时数据
        
        return ResponseEntity.ok(new UploadCompleteResponse(request.getFileName(), finalPath));
    }
    
    // 其他端点：暂停、恢复、取消上传等
}

文件加密模块(Java实现)

public class CryptoUtils {
    
    private static final String AES_ALGORITHM = "AES/CBC/PKCS5Padding";
    private static final String SM4_ALGORITHM = "SM4/CBC/PKCS5Padding";
    
    public static byte[] encrypt(byte[] data, String algorithm, String key) 
            throws NoSuchAlgorithmException, NoSuchPaddingException, 
                   InvalidKeyException, IllegalBlockSizeException, 
                   BadPaddingException, InvalidAlgorithmParameterException {
        
        Cipher cipher = Cipher.getInstance(getCipherAlgorithm(algorithm));
        SecretKeySpec keySpec = new SecretKeySpec(generateKey(algorithm, key), algorithm);
        IvParameterSpec iv = generateIv(algorithm);
        
        cipher.init(Cipher.ENCRYPT_MODE, keySpec, iv);
        return cipher.doFinal(data);
    }
    
    public static byte[] decrypt(byte[] encryptedData, String algorithm, String key) 
            throws NoSuchAlgorithmException, NoSuchPaddingException, 
                   InvalidKeyException, IllegalBlockSizeException, 
                   BadPaddingException, InvalidAlgorithmParameterException {
        
        Cipher cipher = Cipher.getInstance(getCipherAlgorithm(algorithm));
        SecretKeySpec keySpec = new SecretKeySpec(generateKey(algorithm, key), algorithm);
        IvParameterSpec iv = generateIv(algorithm);
        
        cipher.init(Cipher.DECRYPT_MODE, keySpec, iv);
        return cipher.doFinal(encryptedData);
    }
    
    private static String getCipherAlgorithm(String algorithm) {
        return algorithm.equalsIgnoreCase("SM4") ? SM4_ALGORITHM : AES_ALGORITHM;
    }
    
    private static byte[] generateKey(String algorithm, String key) {
        // 密钥生成逻辑
    }
    
    private static IvParameterSpec generateIv(String algorithm) {
        // IV生成逻辑
    }
}

系统特性与优势

1. 高可靠断点续传机制

我们设计了三级恢复机制确保断点续传的可靠性：

客户端缓存：LocalStorage保存基本进度信息
服务端Redis缓存：实时更新上传状态
数据库持久化：定时同步确保数据不丢失

2. 文件夹结构处理方案

采用虚拟文件系统(VFS)技术维护原始目录结构：

// 数据结构示例
{
  "uploadId": "xyz123",
  "root": {
    "name": "project",
    "type": "directory",
    "children": [
      {
        "name": "src",
        "type": "directory",
        "children": [
          {
            "name": "main.js",
            "type": "file",
            "size": 1024,
            "chunks": [{"id":1,"status":"completed"},...]
          }
        ]
      }
    ]
  }
}