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MySQL Insert into multiple tables? (Database normalization?)


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No, you can't insert into multiple tables in one MySQL command. You can however use transactions.

BEGIN;
INSERT INTO users (username, password)
  VALUES('test', 'test');
INSERT INTO profiles (userid, bio, homepage) 
  VALUES(LAST_INSERT_ID(),'Hello world!', 'http://www.stackoverflow.com');
COMMIT;

Have a look at LAST_INSERT_ID() to reuse autoincrement values.

You said "After all this time trying to figure it out, it still doesn't work. Can't I simply put the just generated ID in a $var and put that $var in all the MySQL commands?"

Let me elaborate: there are 3 possible ways here:

  1. In the code you see above. This does it all in MySQL, and the LAST_INSERT_ID() in the second statement will automatically be the value of the autoincrement-column that was inserted in the first statement.

    Unfortunately, when the second statement itself inserts rows in a table with an auto-increment column, the LAST_INSERT_ID() will be updated to that of table 2, and not table 1. If you still need that of table 1 afterwards, we will have to store it in a variable. This leads us to ways 2 and 3:

  2. Will stock the LAST_INSERT_ID() in a MySQL variable:

    INSERT ...
    SELECT LAST_INSERT_ID() INTO @mysql_variable_here;
    INSERT INTO table2 (@mysql_variable_here, ...);
    INSERT INTO table3 (@mysql_variable_here, ...);
    
  3. Will stock the LAST_INSERT_ID() in a php variable (or any language that can connect to a database, of your choice):

    • INSERT ...
    • Use your language to retrieve the LAST_INSERT_ID(), either by executing that literal statement in MySQL, or using for example php's mysql_insert_id() which does that for you
    • INSERT [use your php variable here]

WARNING

Whatever way of solving this you choose, you must decide what should happen should the execution be interrupted between queries (for example, your database-server crashes). If you can live with "some have finished, others not", don't read on.

If however, you decide "either all queries finish, or none finish - I do not want rows in some tables but no matching rows in others, I always want my database tables to be consistent", you need to wrap all statements in a transaction. That's why I used the BEGIN and COMMIT here.


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