Stefan, Indeed, and my mistake (semantics). I meant what you explained. It is clear to me that the order in the table remains in the manner the data were entered, and that cannot be changed, unless a record is deleted and then re-entered, which would place it elsewhere (at the end). This does not really have any benefits IMHO.
And yes, I understand that it is the output that is sorted based on the query. Thanks for clarifying this, and as I read my question, I should have seen the difference myself. Mea culpa! : =) I am quite familiar with SQL Server 2000, but need to use MySQL for a project for the University I am at (Devry Alpharetta, Atlanta), to capture the input from a student survey of the classes and the Faculty members. There are several fields: semester (char), course(char), courseID (int), Faculty (varchar[30] - if that is acceptable in that format - and the answers to 18 questions, all alpha characters (char) or numeric char (int), and one Boolean (yes/no or 1,0). I need to figure out how to best structure this, e.g. create tables on the fly (if that is possible using ASP/ADO and SQL with ODBC connector), or create tables with many to many relationships and store the data for each course survey in a separate table. The tables with many to many relationships would hold all the courses, courseID's, and Faculty members, and the answers to the survey would create links between those and the results from the surveys. A typical class unique identification would look like this: sum03_FBaah_CIS_349 The cols would be 1 through 18 + a calculation col for the average of questions 1 to 18 and a col for the average of all answers to question 1, question 2, etc ... Mind you I may export the answers to an excel spreadsheet and do the calculations there rather than in the DB itself. Anyway this is a long answer to your response but I wanted those who read this to get an idea of what I am working with. Any suggestions are welcomed. Albert -- MySQL General Mailing List For list archives: http://lists.mysql.com/mysql To unsubscribe: http://lists.mysql.com/[EMAIL PROTECTED]