lance-format / lance-format/lance-data-viewer
[discussion] High connect latency for wide tables
Nobody has claimed this yet.
- Dominant language
- Python
- Stars
- 60
- Forks
- 9
- Avg merge
- 10m
- Merged PRs (30d)
- 4
Description
Hi team, IIRC, in the current implementation, for all the provided dataset, we load all its columns by default.
For a wide table, say, with over 1K columns, it leads to high latency and unfriendly UI (I have to scroll to the very right side to find the columns I care about).
So I'm wondering if it's possible to get users select / exclude the columns they're (un)interested in, so we don't need to read and load every single column?
Contributor guide
First steps
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Research direction
No files or tests are named. Trace the dataset-loading path and the wide-table UI entry point first, then determine how column selection or exclusion can be represented before loading; done means users can choose the columns they need and wide tables no longer load every column by default.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- fastapi, python
- Domain
- frontend, performance
- Issue type
- Feature
- Difficulty
- 4/5
- Estimated time
- 3-5 days
- Activity status
- Quiet
- Clarity
- Mostly clear
- Newbie friendliness
- 45/100