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UploadFile performance in FastAPI can be slower than Flask due to differences in data handling. FastAPI's UploadFile utilizes asynchronous methods that may result in bottlenecks if not handled efficiently, while Flask uses synchronous methods.
Here's why FastAPI's UploadFile can be slower:
Best Practices for Efficient File Uploads in FastAPI:
Use asynchronous file writing with the aiofiles library to write files in a non-blocking manner. This approach improves performance, especially for large files.
Consider reading the file in chunks of a specified size to avoid loading the entire file into memory. This prevents memory issues and improves performance for large file uploads.
To avoid blocking the main thread, use FastAPI's run_in_threadpool() function to perform blocking I/O operations in a separate thread. This ensures non-blocking execution of file-related tasks.
In cases where file storage on the server is not necessary, access the request body directly as a stream using request.stream(). This method allows for efficient file handling without incurring unnecessary I/O overhead.
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