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GNU Info (mysql.info)JOIN`JOIN' Syntax ............. MySQL supports the following `JOIN' syntaxes for use in `SELECT' statements: table_reference, table_reference table_reference [CROSS] JOIN table_reference table_reference INNER JOIN table_reference join_condition table_reference STRAIGHT_JOIN table_reference table_reference LEFT [OUTER] JOIN table_reference join_condition table_reference LEFT [OUTER] JOIN table_reference table_reference NATURAL [LEFT [OUTER]] JOIN table_reference { oj table_reference LEFT OUTER JOIN table_reference ON conditional_expr } table_reference RIGHT [OUTER] JOIN table_reference join_condition table_reference RIGHT [OUTER] JOIN table_reference table_reference NATURAL [RIGHT [OUTER]] JOIN table_reference Where `table_reference' is defined as: table_name [[AS] alias] [USE INDEX (key_list)] [IGNORE INDEX (key_list)] and `join_condition' is defined as: ON conditional_expr | USING (column_list) You should never have any conditions in the `ON' part that are used to restrict which rows you have in the result set. If you want to restrict which rows should be in the result, you have to do this in the `WHERE' clause. Note that in versions before Version 3.23.17, the `INNER JOIN' didn't take a `join_condition'! The last `LEFT OUTER JOIN' syntax shown above exists only for compatibility with ODBC: * A table reference may be aliased using `tbl_name AS alias_name' or `tbl_name alias_name': mysql> select t1.name, t2.salary from employee AS t1, info AS t2 where t1.name = t2.name; * The `ON' conditional is any conditional of the form that may be used in a `WHERE' clause. * If there is no matching record for the right table in the `ON' or `USING' part in a `LEFT JOIN', a row with all columns set to `NULL' is used for the right table. You can use this fact to find records in a table that have no counterpart in another table: mysql> select table1.* from table1 LEFT JOIN table2 ON table1.id=table2.id where table2.id is NULL; This example finds all rows in `table1' with an `id' value that is not present in `table2' (that is, all rows in `table1' with no corresponding row in `table2'). This assumes that `table2.id' is declared `NOT NULL', of course. Note: LEFT JOIN optimization. * The `USING' `(column_list)' clause names a list of columns that must exist in both tables. A `USING' clause such as: A LEFT JOIN B USING (C1,C2,C3,...) is defined to be semantically identical to an `ON' expression like this: A.C1=B.C1 AND A.C2=B.C2 AND A.C3=B.C3,... * The `NATURAL [LEFT] JOIN' of two tables is defined to be semantically equivalent to an `INNER JOIN' or a `LEFT JOIN' with a `USING' clause that names all columns that exist in both tables. * `RIGHT JOIN' works analogously as `LEFT JOIN'. To keep code portable across databases, it's recommended to use `LEFT JOIN' instead of `RIGHT JOIN'. * `STRAIGHT_JOIN' is identical to `JOIN', except that the left table is always read before the right table. This can be used for those (few) cases where the join optimizer puts the tables in the wrong order. * As of MySQL Version 3.23.12, you can give hints about which index MySQL should use when retrieving information from a table. This is useful if `EXPLAIN' shows that MySQL is using the wrong index. By specifying `USE INDEX (key_list)', you can tell MySQL to use only one of the specified indexes to find rows in the table. The alternative syntax `IGNORE INDEX (key_list)' can be used to tell MySQL to not use some particular index. Some examples: mysql> select * from table1,table2 where table1.id=table2.id; mysql> select * from table1 LEFT JOIN table2 ON table1.id=table2.id; mysql> select * from table1 LEFT JOIN table2 USING (id); mysql> select * from table1 LEFT JOIN table2 ON table1.id=table2.id LEFT JOIN table3 ON table2.id=table3.id; mysql> select * from table1 USE INDEX (key1,key2) WHERE key1=1 and key2=2 AND key3=3; mysql> select * from table1 IGNORE INDEX (key3) WHERE key1=1 and key2=2 AND key3=3; Note: `LEFT JOIN' optimization. automatically generated by info2www version 1.2.2.9 |