Rows to column for huge number of records

my database version is 10gr2
i want to transfer the rows to column .....i have seen the examples for small no of records but how can it be done if there are more the 1000 records in a table ...???
here is the sample data that i would like to change it to column
SQL> /
NE              RAISED                         CLEARED                        RTTS_NO        RING
10100000-1LU    22-FEB-2011 22:01:04/28-FEB-20 22-FEB-2011 22:12:27/28-FEB-20                SR-10/ ER-16/ CR-25/ CR-29/ CR-26/ RIDM-1/ NER5/ CR-31/ RiC600-1
                11 01:25:22/                   11 02:40:06/
10100000-2LU    01-FEB-2011 12:15:58/06-FEB-20 05-FEB-2011 10:05:48/06-FEB-20                RIMESH/ RiC342-1/ 101/10R#10/ RiC558-1/ RiC608-1
                11 07:00:53/18-FEB-2011 22:04: 11 10:49:18/18-FEB-2011 22:15:
                56/19-FEB-2011 10:36:12/19-FEB 17/19-FEB-2011 10:41:35/19-FEB
                -2011 11:03:13/19-FEB-2011 11: -2011 11:08:18/19-FEB-2011 11:
                16:14/28-FEB-2011 01:25:22/    21:35/28-FEB-2011 02:40:13/
10100000-3LU    19-FEB-2011 20:18:31/22-FEB-20 19-FEB-2011 20:19:32/22-FEB-20                INR-1/ ISR-1
                11 21:37:32/22-FEB-2011 22:01: 11 21:48:06/22-FEB-2011 22:12:
                35/22-FEB-2011 22:20:03/28-FEB 05/22-FEB-2011 22:25:14/28-FEB
                -2011 01:25:23/                -2011 02:40:20/
10100000/10MU   06-FEB-2011 07:00:23/19-FEB-20 06-FEB-2011 10:47:13/19-FEB-20                101/IR#10
                11 11:01:50/19-FEB-2011 11:17: 11 11:07:33/19-FEB-2011 11:21:
                58/28-FEB-2011 02:39:11/01-FEB 30/28-FEB-2011 04:10:56/05-FEB
                -2011 12:16:21/18-FEB-2011 22: -2011 10:06:10/18-FEB-2011 22:
                03:27/                         13:50/
10100000/11MU   01-FEB-2011 08:48:45/22-FEB-20 02-FEB-2011 13:15:17/22-FEB-20 1456129/       101IR11 RIMESH
                11 21:59:28/22-FEB-2011 22:21: 11 22:08:49/22-FEB-2011 22:24:
                52/01-FEB-2011 08:35:46/       27/01-FEB-2011 08:38:42/
10100000/12MU   22-FEB-2011 21:35:34/22-FEB-20 22-FEB-2011 21:45:00/22-FEB-20                101IR12 KuSMW4-1
                11 22:00:04/22-FEB-2011 22:21: 11 22:08:21/22-FEB-2011 22:22:
                23/28-FEB-2011 02:39:53/       26/28-FEB-2011 02:41:07/
10100000/13MU   22-FEB-2011 21:35:54/22-FEB-20 22-FEB-2011 21:42:58/22-FEB-20                LD MESH
                11 22:21:55/22-FEB-2011 22:00: 11 22:24:52/22-FEB-2011 22:10:

could you do something like this?
with t as (select '10100000-1LU' NE,   '22-FEB-2011 22:01:04/28-FEB-2011 01:25:22/' raised , '22-FEB-2011 22:12:27/28-FEB-2011 02:40:06/' cleared from dual union
              select '10100000-2LU', '01-FEB-2011 12:15:58/06-FEB-2011 07:00:53/18-FEB-2011 22:04:56/19-FEB-2011 10:36:12/19-FEB-2011 11:03:13/19-FEB-2011 11:16:14/28-FEB-2011 01:25:22/',
              '05-FEB-2011 10:05:48/06-FEB-2011 10:49:18/18-FEB-2011 22:15:17/19-FEB-2011 10:41:35/19-FEB-2011 11:08:18/19-FEB-2011 11:21:35/28-FEB-2011 02:40:13/' from dual
select * from(
select NE,   regexp_substr( raised,'[^/]+',1,1) raised, regexp_substr( cleared,'[^/]+',1,1) cleared from t
union
select NE,   regexp_substr( raised,'[^/]+',1,2) , regexp_substr( cleared,'[^/]+',1,2) cleared from t
union
select NE,   regexp_substr( raised,'[^/]+',1,3) , regexp_substr( cleared,'[^/]+',1,3) cleared from t
union
select NE,   regexp_substr( raised,'[^/]+',1,4) , regexp_substr( cleared,'[^/]+',1,4) cleared from t
union
select NE,   regexp_substr( raised,'[^/]+',1,5) , regexp_substr( cleared,'[^/]+',1,5) cleared from t
union
select NE,   regexp_substr( raised,'[^/]+',1,6) , regexp_substr( cleared,'[^/]+',1,6) cleared from t
union
select NE,   regexp_substr( raised,'[^/]+',1,7) , regexp_substr( cleared,'[^/]+',1,7) cleared from t
union
select NE,   regexp_substr( raised,'[^/]+',1,8) , regexp_substr( cleared,'[^/]+',1,8) cleared from t
union
select NE,   regexp_substr( raised,'[^/]+',1,9) , regexp_substr( cleared,'[^/]+',1,9) cleared from t
union
select NE,   regexp_substr( raised,'[^/]+',1,10) , regexp_substr( cleared,'[^/]+',1,10) cleared from t
union
select NE,   regexp_substr( raised,'[^/]+',1,11) , regexp_substr( cleared,'[^/]+',1,11) cleared from t
where nvl(raised,cleared) is not null
order by ne
NE     RAISED     CLEARED
10100000-1LU     28-FEB-2011 01:25:22     28-FEB-2011 02:40:06
10100000-1LU     22-FEB-2011 22:01:04     22-FEB-2011 22:12:27
10100000-2LU     28-FEB-2011 01:25:22     28-FEB-2011 02:40:13
10100000-2LU     19-FEB-2011 10:36:12     19-FEB-2011 10:41:35
10100000-2LU     19-FEB-2011 11:03:13     19-FEB-2011 11:08:18
10100000-2LU     19-FEB-2011 11:16:14     19-FEB-2011 11:21:35
10100000-2LU     06-FEB-2011 07:00:53     06-FEB-2011 10:49:18
10100000-2LU     01-FEB-2011 12:15:58     05-FEB-2011 10:05:48
10100000-2LU     18-FEB-2011 22:04:56     18-FEB-2011 22:15:17you should be able to do it without all those unions using a connect by but I can't quite get it to work
the following doesn't work but maybe someone can answer.
select NE,   regexp_substr( raised,'[^/]+',1,level) raised, regexp_substr( cleared,'[^/]+',1,level) cleared from t
connect by prior NE = NE and   regexp_substr( raised,'[^/]+',1,level) = prior regexp_substr( raised,'[^/]+',1,level + 1)Edited by: pollywog on Mar 29, 2011 9:38 AM
here it is with the model clause which gets rid of all the unions.
WITH t
        AS (SELECT '10100000-1LU' NE,
                   '22-FEB-2011 22:01:04/28-FEB-2011 01:25:22/' raised,
                   '22-FEB-2011 22:12:27/28-FEB-2011 02:40:06/' cleared
              FROM DUAL
            UNION
            SELECT '10100000-2LU',
                   '01-FEB-2011 12:15:58/06-FEB-2011 07:00:53/18-FEB-2011 22:04:56/19-FEB-2011 10:36:12/19-FEB-2011 11:03:13/19-FEB-2011 11:16:14/28-FEB-2011 01:25:22/',
                   '05-FEB-2011 10:05:48/06-FEB-2011 10:49:18/18-FEB-2011 22:15:17/19-FEB-2011 10:41:35/19-FEB-2011 11:08:18/19-FEB-2011 11:21:35/28-FEB-2011 02:40:13/'
              FROM DUAL)
SELECT *
    FROM (SELECT NE, raised, cleared
            FROM t
          MODEL RETURN UPDATED ROWS
             PARTITION BY (NE)
             DIMENSION BY (0 d)
             MEASURES (raised, cleared)
             RULES
                ITERATE (1000) UNTIL raised[ITERATION_NUMBER] IS NULL
                (raised [ITERATION_NUMBER + 1] =
                      REGEXP_SUBSTR (raised[0],
                                     '[^/]+',
                                     1,
                                     ITERATION_NUMBER + 1),
                cleared [ITERATION_NUMBER + 1] =
                      REGEXP_SUBSTR (cleared[0],
                                     '[^/]+',
                                     1,
                                     ITERATION_NUMBER + 1)))
   WHERE raised IS NOT NULL
ORDER BY NEEdited by: pollywog on Mar 29, 2011 10:34 AM

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