Using digiKam with a LOT of tags

[Gilles Caulier]

The problem is not the tags amount in fact, and not the database.

The problem is located in search text widget used to filter tree-view. When
you start digiKam the widget is populated with tags a album name to provide
auto completion. The loop inside the Qt widget model is like O(n^2) and
hang-up.

The possible solution is to disable autocompletion in this areas for the
moment.

The problem is reported in this file :

https://bugs.kde.org/show_bug.cgi?id=367853

.. and also already reported in this room...

The problem is identified at least. We need a strategy to prevent this
dysfunction.

Gilles Caulier



2017-02-19 16:30 GMT+01:00 Alexander Langley <alexander.g.langley at gmail.com>
:

> Hello digiKam Users,
>
> digiKam Version: 5.4.0 (via Homebrew)
> OS:              macOS
> OS Version:      10.12.3 (Sierra)
> PC Specs:        Intel core i5, 4GB RAM
>
> I'm currently working on a project that requires I use a VERY LARGE number
> of
> tags.  And by "VERY LARGE", I mean on the order of 220,000.  After reading
> the
> digiKam database spec, I wrote a quick Python script to read my tag set in
> from
> a source JSON document and add it to the digiKam database using the sqlite3
> library.
>
> This did not make digiKam happy.  When I attempted to launch it after
> adding the
> tags, it hung indefinitely at the loading screen step labeled "Reading the
> Database..."  I verified that I hadn't mangled the database format, then
> tried
> again, only to be met with the same hang.  By reducing the number of tags
> 85%
> (33,000), I was able to convince digiKam to start again, but it took 10
> minutes
> for it to open...
>
> Is this a supported use case?  Is there a box I can check somewhere to
> tweak
> digiKam's database loading system to handle absurd numbers of tags?  If
> not,
> would a code contribution to try to speed up tag loading be welcome?
>
> - Alex
>
-------------- next part --------------
An HTML attachment was scrubbed...
URL: <http://mail.kde.org/pipermail/digikam-users/attachments/20170219/867fb5b5/attachment.html>