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Editorial Team
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Editorial Team
Asked: May 12, 20262026-05-12T16:18:06+00:00 2026-05-12T16:18:06+00:00

I have a users table that has the following fields: userid, phone, and address

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I have a users table that has the following fields: userid, phone, and address. Since this is user data, I’m letting the user change them whenever he wants. Problem is I’d like to keep track of those changes and preserve the old data too. Here’s some of the ideas I considered:

  • appending the new data to the old data and using a separator like a pipe. When retrieving the field, I would check for the existence of that separator and if exists, get the chars after it as the new data. (feels cumbersome and doesn’t feel right)

  • setting up a different changes table with the following fields: userid, fieldname, fieldcontent. When/if a user changes data (any data), I would log the event in this separate table under the user’s userid, and the name/id of the field and the old content of the field, then I can now overwrite his old data in users with the new. If I want to find all changes made by this user, I would search the changes table by his userid. Problem with this is that I’m mixing all data changes (of all fields) into one table and so the fieldcontent field in changes has to be text to accommodate the varying field types. This still seems better than the first idea, but still not sure if I’m doing the right thing.

What other ideas are there or known best practices to keep old data?

Thanks in advance

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  1. Editorial Team
    Editorial Team
    2026-05-12T16:18:06+00:00Added an answer on May 12, 2026 at 4:18 pm

    Whatever you do don’t do the first one.

    The changes table is a better approach. It’s also called an audit or history table. I wouldn’t do a history of key-value pairs however. Instead do a history per relevant table. You can do this in application code or via database triggers. Basically whenever an insert, update or delete happens you record which happened and what data was changed.

    Table user:

    • id
    • username
    • email address
    • phone
    • address

    Table user_history:

    • id
    • change_type (I, U or D for insert, update or delete)
    • user_id (FK user.id)
    • email address
    • phone
    • address
    • date/time of change
    • optionally, also store who changed the record
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