Comments by Member 12280617 (Top 2 by date)

Member 12280617 27-Jan-16 8:36am View

Hi CPallini,

Thanks for the help provided.

It worked somehow...but not completely. Means solution worked to break the string into array of words separated by special patterns as well as spaces, but it creates more fields data. As data pattern is different for different fields its not working out properly.
( e.g 2nd record is - Adelina . Lano . schnaible ( name . middlename . last name format )
whereas 7th field is - (727) 853—6994 -> (code) number-number) format )

while some fields contains $ or ##YTR## pattern or email id pattern.

Kindly help with some sample code if possible.

Regards,

Member 12280617 27-Jan-16 8:35am View

Deleted

Hi Richard,

Thanks for the help provided.

It worked somehow...but not completely. Means solution worked to break the string into array of words separated by special patterns as well as spaces, but it creates more fields data. As data pattern is different for different fields its not working out properly.
( e.g 2nd record is - Adelina . Lano . schnaible ( name . middlename . last name format )
whereas 7th field is - (727) 853—6994 -> (code) number-number) format )

while some fields contains $ or ##YTR## pattern or email id pattern.

Kindly help with some sample code if possible.

Regards,