You will have to use some criteria other than table position to delete just the "first" match in table 1. The concept of "first" and "last" only apply to ordered sets of data and there is _no_ guarantee that records entered sequentially will be _stored_ sequentially in the actual data structure.
Are there other columns that make the "second" #1 in your example worthy of keeping? What makes that record "special" enough to survive when the other matching row won't? Sorry I couldn't help, Shawn Green Database Administrator Unimin Corporation - Spruce Pine "[EMAIL PROTECTED]" <rinkeh To: [EMAIL PROTECTED] cc: 06/23/2004 08:24 Fax to: AM Subject: one on one joins Please respond to rinkeh Hi list, I have a problem concerning two tables. Basically, I need a strict "one on one join". Simplyfied, the problem is as follows: I need a check on two tables: T1: containing four records, with the value of field id being 1, 2, 3, 4 T2, same structure, containing the records 1, 2, 3, 5 for field id. I want to delete anything in table T1 which is not in T2. That is simple: delete t1 from t1 a left join t2 b using(id) where b.id is not null; However, Now my problem: the problem is, that the id in both tables can contain duplicates. When the tables have the following recs: T1: field id: 1,1,2,3,4 T2: field id: 1,2,3,5 I want the delete command to delete ONE 1, the 2 and the 3, thus resulting in a table T1 having left only two recrods, with id 1 and 4. However, the delete matches both 1-records of T1 to the single 1- record of T2, so both of them are deleted. So, summarizing: I need a sort of "one on one join", which joins only one single 1 in table T1 to a single 1 in table T2, and when there's no 1 record left in T2, the other 1 in T1 should be unmatched. How can I do this? Or if this is not possible, does somebody know some smart workaround trick? Thanks, rinke -- MySQL General Mailing List For list archives: http://lists.mysql.com/mysql To unsubscribe: http://lists.mysql.com/[EMAIL PROTECTED] -- MySQL General Mailing List For list archives: http://lists.mysql.com/mysql To unsubscribe: http://lists.mysql.com/[EMAIL PROTECTED]