How to Upload a Large File (≥3GB) to FastAPI Backend?
FastAPI can process files exceeding 1MB by retrieving portions of the file at a time from the request body. This approach eliminates the need to load the entire file into memory, which is recommended when dealing with large files.
Client-Side Request:
m = MultipartEncoder(fields = {"upload_file":open(file_name,'rb')}) prefix = "http://xxx:5000" url = "{}/v1/uploadfiles".format(prefix) try: req = requests.post( url, data=m, verify=False, )
Server-Side Response:
HTTP 422 {"detail":[{"loc":["body","upload_file"],"msg":"field required","type":"value_error.missing"}]}
Reason for the Error:
The error occurs because the client-side request omits the Content-Type header. FastAPI expects the client to send multipart/form-data requests when uploading files. Without the Content-Type header, FastAPI cannot correctly parse the request body.
Solution 1 (Recommended): Using Streaming File Uploads and Chunk-Encoded Requests
HTTPX library supports streaming file uploads by default, allowing you to send files without loading them entirely into memory.
Example:
import httpx import time url = 'http://127.0.0.1:8000/upload' files = {'file': open('bigFile.zip', 'rb')} headers = {'Filename': 'bigFile.zip'} data = {'data': 'Hello World!'} with httpx.Client() as client: start = time.time() r = client.post(url, data=data, files=files, headers=headers) end = time.time() print(f'Time elapsed: {end - start}s') print(r.status_code, r.json(), sep=' ')
Solution 2: Using streaming_form_data Library
This library provides astreaming multipart/form-data parser for Python, allowing you to parse multipart/form-data requests without fully loading the entire request body into memory.
Example:
from streaming_form_data import StreamingFormDataParser from streaming_form_data.targets import FileTarget, ValueTarget app = FastAPI() MAX_REQUEST_BODY_SIZE = 1024 * 1024 * 1024 * 4 # = 4GB MAX_FILE_SIZE = 1024 * 1024 * 1024 * 3 # = 3GB @app.post('/upload') async def upload(request: Request): parser = StreamingFormDataParser(headers=request.headers) filename = request.headers.get('Filename') file_ = FileTarget('./' + filename) data = ValueTarget() parser.register('file', file_) parser.register('data', data) body_validator = MaxBodySizeValidator(MAX_REQUEST_BODY_SIZE) file_validator = MaxSizeValidator(MAX_FILE_SIZE) async for chunk in request.stream(): body_validator(chunk) parser.data_received(chunk)
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