MySQL中建表是选择的表的类型怎么确定？选MyISAM,MEMORY,InnoDB,BLACKHOLE, ARCHIVE,FEDERATED,MRG_MYISAM

二级索引？？

mysql中每个表都有一个聚簇索引（clustered index ），除此之外的表上的每个非聚簇索引都是二级索引，又叫辅助索引（secondary indexes）。

以InnoDB来说，每个InnoDB表具有一个特殊的索引称为聚集索引。如果您的表上定义有主键，该主键索引是聚集索引。如果你不定义为您的表的主键时，MySQL取第一个唯一索引（unique）而且只含非空列（NOT NULL）作为主键，InnoDB使用它作为聚集索引。如果没有这样的列，InnoDB就自己产生一个这样的ID值，它有六个字节，而且是隐藏的，使其作为聚簇索引。

聚簇索引主要是为了方便存储。。所以二级索引应该都是对聚簇索引的索引。

下面是Mysql Manual上的原话，也可能我理解有误。

Every InnoDB table has a special index called the clustered index where the data for the rows is stored. If you define a PRIMARY KEY on your table, the index of the primary key is the clustered index.

If you do not define a PRIMARY KEY for your table, MySQL picks the first UNIQUE index that has only NOT NULL columns as the primary key and InnoDB uses it as the clustered index. If there is no such index in the table, InnoDB internally generates a hidden clustered index on a synthetic column containing row ID values. The rows are ordered by the ID that InnoDB assigns to the rows in such a table. The row ID is a 6-byte field that increases monotonically as new rows are inserted. Thus, the rows ordered by the row ID are physically in insertion order.

Accessing a row through the clustered index is fast because the row data is on the same page where the index search leads. If a table is large, the clustered index architecture often saves a disk I/O operation when compared to storage organizations that store row data using a different page from the index record. (For example, MyISAM uses one file for data rows and another for index records.)

In InnoDB, the records in non-clustered indexes (also called secondary indexes) contain the primary key value for the row. InnoDB uses this primary key value to search for the row in the clustered index. If the primary key is long, the secondary indexes use more space, so it is advantageous to have a short primary key.

MySQL中有两个函数来计算上一条语句影响了多少行，不同于SqlServer/Oracle，不要因为此方面的差异而引起功能问题：

1，判断Select得到的行数用found_rows()函数进行判断。

2，判断Update或Delete影响的行数用row_count()函数进行判断，这里需要注意，如果Update前后的值一样，row_count则为0，而不像SqlServer里的@@rowcount或Oracle里的rowcount，只要update到行，影响的行数就会大于0，而无论update前后字段的值是否发生了变化。

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