Need help in converting rows to colums

Hi all,
I have a table with 2 columns.
colId value
1 aaa
2 bbb
3 ccc
1 ddd
2 eee
3 fff
I want to store the above table's data into another table which has 3 columns.
col1 col2 col3
aaa bbb ccc
ddd eee fff
I'm trying pivot query. But i'm not getting it correctly. Please help.
I have Oracle Database 11g Enterprise Edition Release 11.1.0.6.0 - 64bit Production
Thanks in advance,
Girish G
Edited by: Girish G on Jul 28, 2011 1:28 AM

Girish G wrote:
Hi Tubby,
Let me explain the actual scenario.
I'm getting CLOB data from external source to oracle stored procedure.
The data is coming in the following form.
col1#|#col2#|#col3~|~col1#|#col2#|#col3~|~col1#|#col2#|#col3
Here #|# -> is column delimiter.
and ~|~ -> is row delimiter.
I want to store the above data into a table which has 3 columns.
My approach was to extract each column data and store it in temporary table in separate rows. Then move the data from temporary table to final destination table.
Is there any other alternative for my requirement? please suggest.
Thanks,
Girish GMuch better when you show us the context like this.
It's late and i have sleepiness within my bones so this isn't likely optimal.
select
   regexp_substr(split, '[^@]+', 1, 1) as col1 ,
   regexp_substr(split, '[^@]+', 1, 2) as col2 ,
   regexp_substr(split, '[^@]+', 1, 3) as col3
from
   select
      replace(regexp_substr(source_str, '[^@]+', 1, level), '#|#', '@') as split
   from
      select
         replace('val1#|#val2#|#val3~|~val4#|#val5#|#val6~|~val7#|#val8#|#val9', '~|~', '@') as source_str
      from dual
   connect by level <= length(source_str) - length (replace(source_str, '@') ) + 1
);I also don't have an 11 instance running (tested this on XE) so i can't use 'magical' things like regexp_count and fun stuff. This should give you a basic idea of how to parse the data though.
I decode your delimiters into something "more manageable" just because it's easier than worrying about escaping special characters and all that fun stuff i'm too sleepy to try.
Since you're dealing with a CLOB (do you actually have more than 4000 characters of data?) you may have to abandon this and look in to a pipelined function as a suitable alternative.

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