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 doesn't 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 12.8.2, “EXPLAIN
Syntax”.Use
ANALYZE TABLE
to update the key distributions for the scanned table. See Section 12.4.2.1, “tbl_name
ANALYZE TABLE
Syntax”.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
andIGNORE INDEX
may also be useful. See Section 12.2.9.2, “Index Hint Syntax”.Global and table-level
STRAIGHT_JOIN
. See Section 12.2.9, “SELECT
Syntax”.You can tune global or thread-specific system variables. For example, start mysqld with the
--max-seeks-for-key=1000
option or useSET max_seeks_for_key=1000
to tell the optimizer to assume that no key scan causes more than 1,000 key seeks. See Section 5.1.4, “Server System Variables”.