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With each data point stored separately per leader-board and user we can now switch over to calculating the score for each user separately. With that we can switch to parallelizing per user instead of per leader-board. This should result in quicker background jobs, which mean that we can get rid of the separate capsule and just put them on a low prio queue.
The text was updated successfully, but these errors were encountered:
With each data point stored separately per leader-board and user we can now switch over to calculating the score for each user separately. With that we can switch to parallelizing per user instead of per leader-board. This should result in quicker background jobs, which mean that we can get rid of the separate capsule and just put them on a low prio queue.
The text was updated successfully, but these errors were encountered: