Optimization and speed with lots of cards
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- Dominant language
- JavaScript
- Stars
- 1.4k
- Forks
- 354
- Avg merge
- 1d 10h
- Merged PRs (30d)
- 43
Description
Hello,
I migrated Trello cards with a Python script.
This migrated over 2400 cards, we've added a few hundred since then.
Some have been archived but the use of the DECK board is greatly slowed down, I have the impression that all the cards are still loaded even if they are archived.
I've deployed REDIS to optimize the overall performance of Nextcloud but it doesn't seem to have any effect on the DECK.
Looking forward to it,
Sincerely,
Contributor guide
First steps
- Read the whole issue, then the project's contributing guide.
- Comment on the issue to say you are picking it up — it saves two people doing the same work.
- Fork the repository and make your change on a branch.
- Open a pull request that references the issue number.
Research direction
Start by reproducing the slowdown with a Deck board containing more than 2,400 cards, including archived cards, and inspect how cards are loaded and filtered. Compare performance with and without archived cards present; done means identifying the loading bottleneck and demonstrating a measurable improvement in board responsiveness.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- javascript
- Domain
- performance
- Issue type
- Bug
- Difficulty
- 4/5
- Estimated time
- 3-5 days
- Activity status
- Quiet
- Clarity
- Needs clarification
- Newbie friendliness
- 35/100