api
resource_error
ai_generated
true
413 Payload Too Large: Request entity too large, max size is 1048576 bytes
ID: api/rest-api-request-body-too-large-streaming
90%Fix Rate
90%Confidence
1Evidence
2024-02-10First Seen
Version Compatibility
| Version | Status | Introduced | Deprecated | Notes |
|---|---|---|---|---|
| HTTP/1.1 RFC 7231 | active | — | — | — |
| Nginx 1.24 | active | — | — | — |
| Express.js 4.18 | active | — | — | — |
Root Cause
The HTTP request body exceeds the server-configured maximum payload size limit, typically for file uploads or large JSON payloads.
generic中文
HTTP 请求体超过了服务器配置的最大负载大小限制,通常用于文件上传或大型 JSON 负载。
Official Documentation
https://developer.mozilla.org/en-US/docs/Web/HTTP/Status/413Workarounds
-
90% success Reduce the payload size by removing unnecessary fields or using pagination. Example: send data in chunks with a multipart upload or use chunked transfer encoding: curl -X POST https://api.example.com/upload -H 'Transfer-Encoding: chunked' -d @largefile.json
Reduce the payload size by removing unnecessary fields or using pagination. Example: send data in chunks with a multipart upload or use chunked transfer encoding: curl -X POST https://api.example.com/upload -H 'Transfer-Encoding: chunked' -d @largefile.json
-
80% success Increase the server-side max payload size limit (if you control the server). Example (Nginx): client_max_body_size 10m; (Express.js): app.use(express.json({limit: '10mb'}));
Increase the server-side max payload size limit (if you control the server). Example (Nginx): client_max_body_size 10m; (Express.js): app.use(express.json({limit: '10mb'}));
中文步骤
通过移除不必要的字段或使用分页来减小负载大小。示例:使用分块上传或分块传输编码发送数据:curl -X POST https://api.example.com/upload -H 'Transfer-Encoding: chunked' -d @largefile.json
增加服务器端最大负载大小限制(如果您控制服务器)。示例 (Nginx):client_max_body_size 10m; (Express.js):app.use(express.json({limit: '10mb'}));
Dead Ends
Common approaches that don't work:
-
50% fail
Compressing the request body (e.g., gzip) may not reduce size below the limit if the server counts uncompressed bytes.
-
40% fail
Splitting the request into multiple smaller requests without proper sequencing may cause data inconsistency or missing data.