The table's schema is pretty simple. I have a child table that stores a customer's information like address and phone number. The columns are user_id, fieldname, fieldvalue and fieldname. So each row will hold one item like phone number, address or email. This is to allow an unlimited number of each type of information for each customer.

The people on the phones need to look up these customers quickly as they call into our call center. I have experimented with using LIKE% and I'm working with a FULLTEXT index now. My queries work, but I want to make them more useful because if someone searches for a telephone area code like 805 that will bring up many people, and then they add the name Bill to narrow it down, '805 Bill'. It will show EVERY customer that has 805 OR Bill. I want it to do AND searches across multiple rows within each customer.

Currently I'm using the query below to grab the user_ids and later I do another query to fetch all the details for each user to build their complete record.

SELECT DISTINCT `user_id` FROM `user_details` WHERE MATCH (`fieldvalue`) AGAINST ('805 Bill')

Again, I want to do the above query against groups of rows that belong to a single user, but those users have to match the search keywords. What should I do?