Unfortunately, regexp_extract only works with a single index. If the fields in your line are delimited by some specific character, just use the split function. If not, you can use a combination of regexp_replace and split, like the example below:
select split(regexp_replace('World Cup 2014', '(.*) (.*) (.*)', '$1,$2,$3'), ',') from dual; OK ["World","Cup","2014"] Regards, André On 10 June 2014 20:11, Matouk IFTISSEN <matouk.iftis...@ysance.com> wrote: > Hello, > I have a table that each record is in one line (line), and I want to > extract all patterns those match in each line, the actuel comportement of > the udf regexp_extract returns one occurence match!! but with > regexp_replace the comportement is différent (replace all pattern match > in line) > how can I extract all patterns those match in each line ?? > > select (line,'*.(pattern_match).*, index_group) as matchs from my_table > > Thanks by advance ;) > > > -- > > *Matouk IFTISSEN | Consultant BI & Big Data[image: http://www.ysance.com] * > 24 rue du sentier - 75002 Paris - www.ysance.com <http://www.ysance.com/> > Fax : +33 1 73 72 97 26 > *Ysance sur* :*Twitter* <http://twitter.com/ysance>* | Facebook > <https://www.facebook.com/pages/Ysance/131036788697> | Google+ > <https://plus.google.com/u/0/b/115710923959357341736/115710923959357341736/posts> > | LinkedIn > <http://www.linkedin.com/company/ysance> | Newsletter > <http://www.ysance.com/nous-contacter.html>* > *Nos autres sites* : *ys4you* <http://wwww.ys4you.com/>* | labdecisionnel > <http://www.labdecisionnel.com/> | decrypt <http://decrypt.ysance.com/>* > -- André Araújo Big Data Consultant/Solutions Architect The Pythian Group - Australia - www.pythian.com Office (calls from within Australia): 1300 366 021 x1270 Office (international): +61 2 8016 7000 x270 *OR* +1 613 565 8696 x1270 Mobile: +61 410 323 559 Fax: +61 2 9805 0544 IM: pythianaraujo @ AIM/MSN/Y! or ara...@pythian.com @ GTalk “Success is not about standing at the top, it's the steps you leave behind.” — Iker Pou (rock climber) -- --