Ferindo, I had a similar task recently, and the problem you'll run into is that you can't select from and update the same table at once. What I ended up doing was doing a SELECT to build the update queries for me.
Something like this: SELECT CONCAT( "UPDATE bowler_score SET email_address = '", email_address, "' ", "WHERE firstname = '", firstname, "' ", "AND middlename = '", middlename, "' ", "AND lastname = '", lastname, "' ", "AND race = '", race, "' ", "AND religion = '", religion, "'; " ) FROM bowler_score WHERE email_address LIKE "[EMAIL PROTECTED]" This finds all the entries where there appears to be a valid email address (contains @), and updates all the other records for that individual. Note this is not very efficient, since a LOT of update queries will be generated, and also that if one person has more than one email address (a typo perhaps) you will lose all but one address for them. But it should work, and it's pretty easy. HTH, Dan On 10/13/06, Ferindo Middleton <[EMAIL PROTECTED]> wrote:
I have a table, bowler_score_records, with the following columns: id, firstname, middlename, lastname, race, religion, email_address, bowling_score, gamedate As records get entered to this table, sometimes the users forget to input the email_address but the users always capture the full name, race, and religion. Assuming that no two individuals (bowlers) would happen to have the same name, race, and religion. I need to write a query to update the email_address for all the records where the users forgot to input it based on the idea that records carrying the same full name, race, and religion are in fact the same person, hence the same email_address. Based on the schema described above, how would you write it? -- Ferindo
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