MySQL :: MySQL 8.4 Reference Manual :: B.3.5 Optimizer-Related Issues (original) (raw)
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B.3.5 Optimizer-Related Issues
MySQL uses a cost-based optimizer to determine the best way to resolve a query. In many cases, MySQL can calculate the best possible query plan, but sometimes MySQL does not have enough information about the data at hand and has to make“educated” guesses about the data.
For the cases when MySQL does not do the "right" thing, tools that you have available to help MySQL are:
- Use the EXPLAIN statement to get information about how MySQL processes a query. To use it, just add the keywordEXPLAIN to the front of yourSELECT statement:
mysql> EXPLAIN SELECT * FROM t1, t2 WHERE t1.i = t2.i;
EXPLAIN is discussed in more detail in Section 15.8.2, “EXPLAIN Statement”.
- Use
ANALYZE TABLE_`tblname`_
to update the key distributions for the scanned table. SeeSection 15.7.3.1, “ANALYZE TABLE Statement”. - Use
FORCE INDEX
for the scanned table to tell MySQL that table scans are very expensive compared to using the given index:
SELECT * FROM t1, t2 FORCE INDEX (index_for_column)
WHERE t1.col_name=t2.col_name;
USE INDEX
and IGNORE INDEX
may also be useful. SeeSection 10.9.4, “Index Hints”.
- Global and table-level
STRAIGHT_JOIN
. SeeSection 15.2.13, “SELECT Statement”. - You can tune global or thread-specific system variables. For example, start mysqld with the--max-seeks-for-key=1000 option or use
SET max_seeks_for_key=1000
to tell the optimizer to assume that no key scan causes more than 1,000 key seeks. SeeSection 7.1.8, “Server System Variables”.