Hi
I'm trying to use everything as a favorites menu to access favorite folders.
Currently I'm doing wfn:<Folder1|Folder2|Folder3|...Folder70> which takes about 4 seconds for everything to return the result list.
Is there a way I could speed this up using different query?
Thanks
Edit: About 50% of the favorites are using environment variables as part of the name. Not sure if it could affect performance
Very large query performance
Re: Very large query performance
Take a look at the filelist: function, like:
This is built to match many-to-many and might be faster (please test and report; that is useful information for all of us)
The easiest way to create this search query (that I can think of):
Code: Select all
filelist:"C:\Program Files\7-zip|%ProgramFiles%\common files"
The easiest way to create this search query (that I can think of):
- Create a textfile with all your favourite folders, one per line.
Don't end with an empty line (ie: don't press ENTER after your last folder) - Go to Menu:Serach > Advanced Search
- Scroll down to Search for a list of file names:
- Click the browse button to add (the contents of) your textfile
- Click OK
- Save as bookmark
- Done
Last edited by therube on Tue Apr 28, 2020 6:37 pm, edited 1 time in total.
Reason: s/wit/with/
Reason: s/wit/with/
Re: Very large query performance
Very Cool
I keep forgetting about the filelist option...
Yes, this method (filelist:... ) is working perfectly and is preferable than opening an .efu because it retains all the folder icons!
Thanks !
I keep forgetting about the filelist option...
Yes, this method (filelist:... ) is working perfectly and is preferable than opening an .efu because it retains all the folder icons!
Thanks !
Re: Very large query performance
You're welcome!
(what about performance? How long does it take?)
(what about performance? How long does it take?)
Re: Very large query performance
Instantaneous
Probably less than 50ms but I cannot measure. xactly
Probably less than 50ms but I cannot measure. xactly
Re: Very large query performance
Wow, that *is* fast!
(and accurate enough for me )
Thanks for posting!
(and accurate enough for me )
Thanks for posting!