fix download counter #118
Draft
fix download counter #118
Conversation
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
- rewrite catalog download links using md5 hashes for id - allow downloads of noarch builds to pass arch checks - rewrite nas tests for new url structure
|
@mreid-tt If you find a solution for the download counters, it would be nice to display the counters somewhere in the admin UI. |
Sign up for free
to join this conversation on GitHub.
Already have an account?
Sign in to comment
Add this suggestion to a batch that can be applied as a single commit.
This suggestion is invalid because no changes were made to the code.
Suggestions cannot be applied while the pull request is closed.
Suggestions cannot be applied while viewing a subset of changes.
Only one suggestion per line can be applied in a batch.
Add this suggestion to a batch that can be applied as a single commit.
Applying suggestions on deleted lines is not supported.
You must change the existing code in this line in order to create a valid suggestion.
Outdated suggestions cannot be applied.
This suggestion has been applied or marked resolved.
Suggestions cannot be applied from pending reviews.
Suggestions cannot be applied on multi-line comments.
Suggestions cannot be applied while the pull request is queued to merge.
Suggestion cannot be applied right now. Please check back later.
Description
This PR implements the download counter function and includes:
fixes #22
Notes
While this implementation is functional, it lacks efficiency as it generates a database entry for every download request from a client. As mentioned in #112 (comment), the platform currently manages approximately 3.5 million requests per day with a 97% hit ratio on Fastly as CDN. Implementing this would lead to a significant surge in server traffic, potentially causing platform outages for users due to approximately a 33x increase in load.
Given the above, help is requested to find a more efficient implementation of this function.