Pattern matching using Regular expression

Hi,
I am working on pattern matching using regular expression. I the table, I have 2 columns A and B
A has value 'A499BPAU4A32A386KBCZ4C13C41D20E'
B has value like '*CZ4*M11*7NQ+RDR+RSM-R9A-R9B'
the requirement is that I have to match the columns of B in A. If there is a value with * sign, this must be present in A like 'CZ4' should exit in string A.
The issue I am facing is that there are 2 values with * sign. The code works fine for first match (CZ4) but it does not look further as M11 does not exist in A.
I used the condition
AND instr(A,substr(REGEXP_SUBSTR(B, '*[^*]{3}'),2) ,1)=0
First of all, is this possible to match multiple patterns in one condition?
If yes, please suggest.
Thanks

user2544469 wrote:
Thanks a lot Frank. This query worked wonderful for the test data I have provided however I have some concerns:
- query doesnot include the column BOOK which is a mandatory check.Sorry, that was my mistake. It was a very easy mistake to make, since you posted sample data where it didn't matter. Instead of doing a cross-join between vn and got_must_have_cnt, do an inner join, using book. That means book will have to be in got_must_have_cnt, and all the sub-queries from which it descends. Look for comments that say "March 22".
If you want to treat '+' in test_cat.codes as '*', then the simplest thing is probably just to use REPLACE, so that when the table has '+', you use '*' instead.
WITH got_token_cnt AS
 SELECT cat
 , book -- Added March 22
 , REPLACE (codes, '+', '*') AS codes -- If desired. Changed March 22
 , LENGTH (codes) - LENGTH ( TRANSLATE ( codes
 , 'x*+-'
 , 'x'
 ) AS token_cnt
 FROM test_cat
, cntr AS
 SELECT LEVEL AS n
 FROM ( SELECT MAX (token_cnt) AS max_token_cnt
 FROM got_token_cnt
 CONNECT BY LEVEL <= max_token_cnt
, got_tokens AS
 SELECT t.cat
 , t.book -- Added March 22
 , REGEXP_SUBSTR ( t.codes
 , '[*+-]'
 , 1
 , c.n
 ) AS token_type
 , SUBSTR ( REGEXP_SUBSTR ( t.codes
 , '[*+-][^*+-]*'
 , 1
 , c.n
 , 2
 ) AS token
 FROM got_token_cnt t
 JOIN cntr c ON c.n <= t.token_cnt
, got_must_have_cnt AS
 SELECT cat, book -- Changed March 22
 , COUNT (CASE WHEN token_type = '*' THEN 1 END) AS must_have_cnt
 FROM got_tokens
 GROUP BY cat, book -- Changed March 22
SELECT mh.cat
, vn.vn_no
FROM got_must_have_cnt mh
JOIN vn ON mh.book = vn.book -- Changed March 22
LEFT OUTER JOIN got_tokens gt ON mh.cat = gt.cat
 AND INSTR (vn.codes, gt.token) > 1
GROUP BY mh.cat
, mh.must_have_cnt
, vn.vn_no
HAVING COUNT (CASE WHEN gt.token_type = '*' THEN 1 END) = mh.must_have_cnt
AND COUNT (CASE WHEN gt.token_type = '-' THEN 1 END) = 0
ORDER BY mh.cat
- query is very slow with 60000 records in vn table. Cost is somewhere around 36000.See these threads:
When your query takes too long ...
HOW TO: Post a SQL statement tuning request - template posting
Relational databases were designed to have (at most) one piece of information in each column. If you decide to have multiple items in the same column (as you have a variable number of tokens in the codes column), don't be surprised if that makes things slower and more complicated. Most of the query I posted, and perhaps most of the time needed, is jsut to normalize the data. If you stored the data in a narmalized form, perhaps something like got_tokens, then you wouldn't need the first 3 sub-queries that I posted.
Edited by: Frank Kulash on Mar 22, 2011 12:04 PM

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Wrote file afiedt.buf
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Hi,
user12240205 wrote:
... Frank, ʃʃp's method, I understand. But your method, although correct, I find it difficult to understand.
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TYPE pos_arraytype IS TABLE OF POSITIVE ;
TYPE text_arraytype IS TABLE OF VARCHAR2(2000);
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RETURN text_arraytype ;
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in_pos_arr is a table of positive values of positions in the string to be cut
in_regexp_arr is a table of regular expressions to use at each position declared by in_pos_arr
in_trim_strings is a flag, if the cutted element should be trimmed
using above for example:
in_str = 'Markus van Muster 347651234XY Musterdaam ABCDE'
in_pos_arr = (1, 13, 35, 35, 42)
in_regexp_arr = ('(.?){12}', '([^[:digit:]]?){22}', '[[:digit:]]{4}', '[[:alpha:]]{2}', '(.?){14}')
in_trim_strings = TRUE
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If you need the code, then tell me! I'm looking for....
Cheers,
Martin
Edited by: Nuerni on 17.10.2008 08:49

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Similar to my problem with converting a big chunk of validation into smaller chunks of functions I am trying to use Regular Expressions to handle the validation of many, many time fields in a flexible working time sheet.
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Pattern matching using Regular expression

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