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Home/ Questions/Q 273469
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Editorial Team
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Editorial Team
Asked: May 12, 20262026-05-12T00:27:38+00:00 2026-05-12T00:27:38+00:00

When doing query optimization, the SHOW STATUS query returns values that are easy to

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When doing query optimization, the SHOW STATUS query returns values that are easy to understand with some practice and explanation.

But last_query_cost is obscure and poorly documented.

The only thing explained is that it must be read as an anti-macho value: the smaller the better.

But do we have further information about this high-level value? What is its unit? How is it calculated (estimated)? etc. How can we use it for an advanced profiling?

Thanks for your precious help. 🙂

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  1. Editorial Team
    Editorial Team
    2026-05-12T00:27:38+00:00Added an answer on May 12, 2026 at 12:27 am

    This has to do with how the MySQL Query Optimizer works. When you enter and execute a query, MySQL will construct a query plan. This is done by evaluating how the query can be executed in several different ways, and assigning “costs” to the different possibilities. These costs are based mostly on internal statistics, and includes data such as the number of rows in the table, the cardinality of different indices and so forth. When this is done, MySQL choses the least expensive plan and executes the query. The last_query_cost value is this cost value.

    As you’ve no doubt seen in the manual:

    The total cost of the last compiled
    query as computed by the query
    optimizer. This is useful for
    comparing the cost of different query
    plans for the same query. The default
    value of 0 means that no query has
    been compiled yet. The default value
    is 0. Last_query_cost has session
    scope.

    This is indeed true. The value is only useful as a quantitative measurement to compare different queries.

    There’s some interesting resources on the query optimizer available online, if you want to learn more. Unfortunately, I don’t have any links for you readily available, but it shouldn’t be too hard to find some resources through a simple search for “mysql query optimizer”.

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