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Editorial Team
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Editorial Team
Asked: May 14, 20262026-05-14T21:47:46+00:00 2026-05-14T21:47:46+00:00

When I create a view I am basically making a new table that will

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When I create a view I am basically making a new table that will automatically be transacted upon when data in one of the tables it joins changes; is that correct?

Also why can’t I use subqueries in my view?

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  1. Editorial Team
    Editorial Team
    2026-05-14T21:47:46+00:00Added an answer on May 14, 2026 at 9:47 pm

    A view works like a table, but it is not a table. It never exists; it is only a prepared SQL statement that is run when you reference the view name. IE:

    CREATE VIEW foo AS
      SELECT * FROM bar
    
    SELECT * FROM foo
    

    …is equivalent to running:

    SELECT x.* 
      FROM (SELECT * FROM bar) x
    

    A MySQLDump will never contain rows to be inserted into a view…

    Also why can’t I use subqueries in my view????

    That, sadly, is by (albeit questionable) design. There’s numerous limitations for MySQL views, which are documented: http://dev.mysql.com/doc/refman/5.0/en/create-view.html

    So if it’s just an imaginary table/prepared statement does that mean it theoretically has the same performance (or even less) as a normal table/query?


    No.
    A table can have indexes associated, which can make data retrieval faster (at some cost for insert/update). Some databases support “materialized” views, which are views that can have indexes applied to them – which shouldn’t be a surprise that MySQL doesn’t support given the limited view functionality (which only began in v5 IIRC, very late to the game).

    Because a view is a derived table, the performance of the view is only as good as the query it is built on. If that query sucks, the performance issue will just snowball… That said, when querying a view – if a view column reference in the WHERE clause is not wrapped in a function (IE: WHERE v.column LIKE ..., not WHERE LOWER(t.column) LIKE ...), the optimizer may push the criteria (called a predicate) onto the original query – making it faster.

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