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The starting point for issues should usually be a discussion...
Hi I am from Azure Function team, we are integrating starlette req/response to support http streaming. When streaming upload a large file and using starlette request stream function to iterate chunks on server side. each chunk size is 128kb. It hinders the uploading speed for large files. Wonder is there a way to configure the upload chunk size or this is by design?
Possible bugs may be raised as a "Potential Issue" discussion, feature requests may be raised as an "Ideas" discussion. We can then determine if the discussion needs to be escalated into an "Issue" or not.
This will help us ensure that the "Issues" list properly reflects ongoing or needed work on the project.
Initially raised as discussion #...
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The text was updated successfully, but these errors were encountered:
YunchuWang
changed the title
[FeatureRequest[ Cant configure request.stream() chunk size -- always 128kb per chunk read
[FeatureRequest] Cant configure request.stream() chunk size -- always 128kb per chunk read
May 8, 2024
The chunk size of the receive event on ASGI is determined by the ASGI server. Not the Starlette/app. You may need to confirm with the ASGI server you are using.
The starting point for issues should usually be a discussion...
Hi I am from Azure Function team, we are integrating starlette req/response to support http streaming. When streaming upload a large file and using starlette request stream function to iterate chunks on server side. each chunk size is 128kb. It hinders the uploading speed for large files. Wonder is there a way to configure the upload chunk size or this is by design?
https://github.com/encode/starlette/discussions
Possible bugs may be raised as a "Potential Issue" discussion, feature requests may be raised as an "Ideas" discussion. We can then determine if the discussion needs to be escalated into an "Issue" or not.
This will help us ensure that the "Issues" list properly reflects ongoing or needed work on the project.
Important
The text was updated successfully, but these errors were encountered: