MySQL是否自动索引外键列?
当前回答
是的,Innodb提供了这个。你可以在foreign key子句后面加上一个外键名称,或者让MySQL为你创建一个名称。MySQL自动创建一个名为foreign_key_name的索引。
CONSTRAINT constraint_name
FOREIGN KEY foreign_key_name (columns)
REFERENCES parent_table(columns)
ON DELETE action
ON UPDATE action
其他回答
是的,但只在innodb上。Innodb是目前唯一实现了外键的表格式。
对于那些正在寻找5.7文档引用的人:
MySQL requires indexes on foreign keys and referenced keys so that foreign key checks can be fast and not require a table scan. In the referencing table, there must be an index where the foreign key columns are listed as the first columns in the same order. Such an index is created on the referencing table automatically if it does not exist. This index might be silently dropped later, if you create another index that can be used to enforce the foreign key constraint. index_name, if given, is used as described previously.
显然,一个索引是自动创建的,就像罗伯特发布的链接中指定的那样。
InnoDB requires indexes on foreign keys and referenced keys so that foreign key checks can be fast and not require a table scan. In the referencing table, there must be an index where the foreign key columns are listed as the first columns in the same order. Such an index is created on the referencing table automatically if it does not exist. (This is in contrast to some older versions, in which indexes had to be created explicitly or the creation of foreign key constraints would fail.) index_name, if given, is used as described previously.
InnoDB和外键约束
这是不可能得到索引键自动使用
ALTER TABLE (NAME OF THE TABLE) ADD INDEX (FOREIGN KEY)
你创建的表的名称,例如photos和外键,例如照相_id。代码应该是这样的
ALTER TABLE photographs ADD INDEX (photograph_id);
As stated it does for InnoDB. At first I thought it was strange that many other (in particular MS SQL and DB2) doesn't. TableSpace scans are only better than index scans when there are very few table rows - so for the vast majority of cases a foreign key would want to be indexed. Then it kind of hit me - this doesn't necessarily mean it has to be a stand alone (one column) index - where it is in MySQL's automatic FK Index. So, may be that is the reason MS SQL, DB2 (Oracle I'm not sure on) etc leave it up to the DBA; after all multiple indexes on large tables can cause issues with performance and space.