优点:

聚集索引适用于范围(例如:select * from my_table where my_key在@min和@max之间)

在某些情况下，如果使用orderderby语句，DBMS将不需要做排序工作。

缺点:

聚集索引可能会减慢插入速度，因为如果新键不是按顺序排列的，那么在放入记录时必须修改记录的物理布局。

聚类基本上意味着数据在表中的物理顺序。这就是为什么每个表只能有一个。

非聚集意味着它“只是”一个逻辑顺序。

聚集索引

聚集索引检索更快，插入更慢 和更新。 一个表只能有一个聚集索引。 不需要额外空间来存储逻辑结构。 确定在磁盘上存储数据的顺序。

非聚簇索引

非聚集索引在检索数据时较慢，在检索数据时较快 插入和更新。 一个表可以有多个非聚集索引。 需要额外的空间来存储逻辑结构。 对磁盘上存储数据的顺序没有影响。

优点:

聚集索引适用于范围(例如:select * from my_table where my_key在@min和@max之间)

在某些情况下，如果使用orderderby语句，DBMS将不需要做排序工作。

缺点:

聚集索引可能会减慢插入速度，因为如果新键不是按顺序排列的，那么在放入记录时必须修改记录的物理布局。

An indexed database has two parts: a set of physical records, which are arranged in some arbitrary order, and a set of indexes which identify the sequence in which records should be read to yield a result sorted by some criterion. If there is no correlation between the physical arrangement and the index, then reading out all the records in order may require making lots of independent single-record read operations. Because a database may be able to read dozens of consecutive records in less time than it would take to read two non-consecutive records, performance may be improved if records which are consecutive in the index are also stored consecutively on disk. Specifying that an index is clustered will cause the database to make some effort (different databases differ as to how much) to arrange things so that groups of records which are consecutive in the index will be consecutive on disk.

For example, if one were to start with an empty non-clustered database and add 10,000 records in random sequence, the records would likely be added at the end in the order they were added. Reading out the database in order by the index would require 10,000 one-record reads. If one were to use a clustered database, however, the system might check when adding each record whether the previous record was stored by itself; if it found that to be the case, it might write that record with the new one at the end of the database. It could then look at the physical record before the slots where the moved records used to reside and see if the record that followed that was stored by itself. If it found that to be the case, it could move that record to that spot. Using this sort of approach would cause many records to be grouped together in pairs, thus potentially nearly doubling sequential read speed.

In reality, clustered databases use more sophisticated algorithms than this. A key thing to note, though, is that there is a tradeoff between the time required to update the database and the time required to read it sequentially. Maintaining a clustered database will significantly increase the amount of work required to add, remove, or update records in any way that would affect the sorting sequence. If the database will be read sequentially much more often than it will be updated, clustering can be a big win. If it will be updated often but seldom read out in sequence, clustering can be a big performance drain, especially if the sequence in which items are added to the database is independent of their sort order with regard to the clustered index.

你可能已经阅读了以上文章中的理论部分:

-聚类索引，我们可以看到直接指向记录，即它的直接，所以它需要更少的时间进行搜索。此外，它不会占用任何额外的内存/空间来存储索引

而在非聚集索引中，它间接指向聚集索引，然后它将访问实际的记录，由于它的间接性质，它将花费更多的时间来访问。此外，它需要自己的内存/空间来存储索引