Database separation for similarity searches

[Maik Qualmann]

Hi Mario,

the 5.9.0 master branch is only for minor bug fixes.
Commit these changes to the 6.0.0 branch.

Maik

Am Montag, 22. Januar 2018, 16:55:25 CET schrieb Mario Frank:
> Hey Gilles,
> 
> I looked at the code yesterday and it is not yet finished. I will apply
> some changes to improve performance and report on it before committing.
> 
> For which release is the db separation planned? 5.9 or 6.0?
> 
> Best
> 
> Mario
> 
> Am 06.01.2018 um 17:43 schrieb Mario Frank:
> > Hey Gilles,
> > 
> > I think she was not completely finished. I will have time for digiKam
> > again after this weekend. I will take a look. I've got unfinished work
> > anyway.
> > 
> > Cheers
> > Mario
> > 
> > Am 6. Januar 2018 16:16:37 MEZ schrieb Gilles Caulier
> > 
> > <caulier.gilles at gmail.com>:
> >     Note : with this commit, i sync this branch with master without
> >     conflict.
> >     
> >     https://commits.kde.org/digikam/d8511b14fd3e9c3406357858f557bdefa03d15
> >     51
> >     
> >     Gilles
> >     
> >     2018-01-06 16:13 GMT+01:00 Gilles Caulier
> >     
> >     <caulier.gilles at gmail.com <mailto:caulier.gilles at gmail.com>>:
> >         Hi all,
> >         
> >         This summer, Swaty has work on database separation for
> >         similarity searches. The goal was to separate the fuzzy
> >         fingerprints storage from core DB to a dedicated DB. This will
> >         simplify the backup and prevent to overload the core DB with
> >         large data by image (around 500 bytes by fingerprints)
> >         
> >         The work is not completed as i know. All have be done
> >         in origin/gsoc17-db-sep branch from git repository.
> >         
> >         What's the status of this code exactly ? Can we continue with
> >         this implementation, or it will be better to re-start this
> >         work from scratch ?
> >         
> >         The DB separation is important for the future. Thank sin
> >         advance for your feedback.
> >         
> >         Best
> >         
> >         Gilles