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. 🙂
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:
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”.