Search for account by account segment

  • Hello SQL Experts,
    I have a table with account #'s ( Example :  20-200-300-4000)
    I am using parameter in my query to search for the all account number  or a single account,  but they would also like to be able to search by segments ... If possible I would like for when the search text box appears on the screen it would look something like this
    __-___-___-____ so the user can use mouse or cursor to move to a particular segment and type  in,  for instance  200 in the second segment  as in the example above and all accounts with  200 in that segment is returned or 4000 in the last segment and all accounts with 4000 in the last segment is returned.

    similar search box example.
    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

    Any help on how to do the SQL  search that will return all accounts with the entered segment will be appreciated.

    Thanks

  • The best way to facilitate that would be to store the segments in separate columns.

  • I agree with Joe on the best approach, but if you have no control over the table you will need to use the substring, left and right functions of sql to process your searches.

    if searching the 1st segment you can use the following
    WHERE LEFT(ACCTNO, 2) = @searchValue
    --or
    WHERE SUBSTRING(ACCTNO,1,2) = @searchValue

    2nd Segment use SUBSTRING
    WHERE SUBSTRING(ACCTNO,4,3) = @searchValue
    etc
    The last segment you can use substring or RIGHT
    WHERE SUBSTRING(ACCTNO,12,4) = @searchValue
    --or
    WHERE RIGHT(ACCTNO, 4) = @searchValue

  • Another option would be to create persisted indexed computed columns for each segment. However load test before deploying to production for crud operation performance degradation due to index overhead. Be certain to allow for addition storage overhead for the indexes and remember to alter any stored procedures accessing the table with the required set parameters, the same required for an indexed view. 
  • Thank you all for your response... I really appreciate you expertise.

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