Emils wrote:
> 2006/7/7, T E Schmitz <mailreg@numerixtechnology.de>:
>
>>
>> valid entries would be:
>> "28mm F2.8" (prime lens)
>> "30-70mm F4" (zoom lens)
>> "30-70mm F2.8" (zoom lens)
>> "30-100mm F4.5-5.6" (zoom lens with variable speed)
>
>
> If these are the cases, wouldn't the regex be simply:
>
> "^[\d\-]+mm" for BASE
>
> "^[\d\-]+mm (.+)$" for SUFFIX
>
> Or are you having to deal with malformatted data too (like "30 -70mm"
> or "28 mm ")?
There were quite a few malformed MODEL.NAMEs (upper/lower case,
additional blanks, missing mm) and therefore a precise regexp was required.
I did this as a 2-stage process:
WHERE !~ '^((\\d+(-\\d+)?)mm F((\\d+(\.\\d+)?)+(\.(\\d+(\.\\d+)?)+)?))$'
selected all malformed MODEL.NAMEs
I corrected the malformed basenames, which left me with the BASE/SUFFIX
problem only.
I selected all of those and /knowing/ that none of them were malformed,
I used a simplified pattern without round brackets to produce the BASE
and SUFFIX result columns:
substring (MODEL.MODEL_NAME, '^[-\\d]+mm F[-\\d\.]+' ) as BASE, substring (MODEL.MODEL_NAME, '^[-\\d]+mm F[-\\d\.]+
*(.*)$')as SUFFIX
exported that together with PKs as CSV and generated SQL from it.
Basically, my problem had been that I needed to express the SUFFIX
pattern without using brackets for the BASE.
I would like to thank everyone who contributed to this thread.
--
Regards/Gruß,
Tarlika Elisabeth Schmitz
