On 20 January 2016 at 21:34, Andreas Säger <[email protected]> wrote:

> How can anybody solve any csv related problem without knowing anything
> about
> the actual content?
>
> 4 different lines of perfectly valid and commonly used csv data:
>
> 1234.98;2014-12-22
> 1.234,98;22 Dez 2014
> 1234.98;12/22/14
> 1234.98;22/12/14
>
> Each line carries the exact same information. I could add a thousand more
> different lines with the exact same values without leaving the conventions
> of valid csv.
>

​Exactly, this is why I have invested in pretty a intelligent
auto-detection of data types​
​ and representation of values in Kexi​

​CSV importer.​ Yes, dates values are the most tricky.

Sure, the auto-detection has limits, importing has to be _interactive_ at
times, at least until we "know" all the options user wants to use, then the
user would be able to save and re-use an 'import specification'.
For complicated import cases it's not a matter of a custom SQL statement,
it's sometimes a trial-and-error process.

The only thing I would regret is that we have no organized FOSS effort to
share such routines and every app has own. Not yet at least.

(Ian has sent me a rich feedback off the list, work in progress)


>
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-- 
regards, Jaroslaw Staniek

KDE:
: A world-wide network of software engineers, artists, writers, translators
: and facilitators committed to Free Software development - http://kde.org
Calligra Suite:
: A graphic art and office suite - http://calligra.org
Kexi:
: A visual database apps builder - http://calligra.org/kexi
Qt Certified Specialist:
: http://www.linkedin.com/in/jstaniek

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