-
Notifications
You must be signed in to change notification settings - Fork 8.3k
New issue
Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.
By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.
Already on GitHub? Sign in to your account
Filter value suggestions takes long time to load #97512
Comments
Pinging @elastic/kibana-app-services (Team:AppServices) |
Looks like the feedback comes from 7.10.2?
|
@Dosant We're not filtering value suggestions by time range, only the autocomplete suggestions. Imagine what would happen if you:
The filter would appear broken and if you make a mistake, you might not be able to change the value back, if you don't re-adjust the time range. I think users still need a reliable way to get a full, exhaustive list of possible values (maybe with the exception of cold storage), and even the new autocomplete API wouldn't be able to help with that (as it's not an exhaustive API). |
@lizozom, thanks, looks like I missed the difference between KQL autocomplete and filter value suggestions mentioned in this issue 🤦♂️ |
Should be resolved by #92783 (combining an autocomplete API call without any term string with some kind of a UI indication to show that results are incomplete) |
Disregard last comment. Cross posted from another issue. Sorry for the noise |
Closing in favor of #92783. |
Describe the feature:
Filter suggestions are extremely helpful, however value suggestions can take a long time to load
The query to load the drop-down appears to
(a.) draw from all records that match the index filter (regardless of the filtered time range)
(b.) it doesn’t cache these records; repeat visits to the same dropdown engender further delay.
suggestion: Filter suggestions should take into consideration the filters already applied (time range, other filters currently applied)
Also, can client-side caching help? with repeat visits? cc: @timroes / @nreese
The text was updated successfully, but these errors were encountered: