An understanding of the index structure
In fact, you can interpret the index as a special kind of directory. Microsoft's SQL Server provides two indexes: a clustered index (clustered index, also known as a clustered, clustered index) and a nonclustered index (nonclustered index, also known as a nonclustered and nonclustered index).
For example, let's take a look at the difference between a clustered index and a nonclustered index:
In fact, the text of our Chinese dictionary is itself a clustered index. For example, if we look at the word "Ann", we will naturally open the first few pages of the dictionary, because the pinyin of "an" is "an", and the dictionary of Chinese characters according to Pinyin is the beginning of the English letter "a" and ending with "Z", then the word "Ann" is naturally ranked in the front of the dictionary. If you end up with all the "a" parts you still can't find the word, so you don't have the word in your dictionary; Similarly, if you look at the word "Zhang", you will also turn your dictionary to the last part, because "Zhang" Pinyin is "Zhang". That is, the body part of the dictionary itself is a directory, and you don't need to look up other catalogs to find what you need to find. We refer to the content of the body as a "clustered index", which is arranged according to certain rules.
If you know a word, you can quickly find the word from automatic. But you may also encounter words you don't know, do not know its pronunciation, at this time, you can not follow the way you have just found the word you want to search, and need to go according to the "radical" to find the word you are looking for, and then according to the number of the word after the page directly to find the word you are looking for. But the sort of word you find in conjunction with the "Radical catalog" and "CJK ideographs table" is not really the sort of method of body text, for example, you look up the "Zhang" word, we can see in the CJK ideographs table after the radical, "Zhang" page number is 672 pages, CJK ideographs Table "Zhang" above is "Chi" word, but the page number is 63 pages, "Zhang" below is "crossbow "Word, the page is 390 pages. Obviously, these words are not really in the "Zhang" word of the upper and lower side, now you see the continuous "Chi, Zhang, crossbow" three words is actually their sorting in the nonclustered index, is the dictionary body of words in the nonclustered index mapping. We can find the word you need in this way, but it takes two processes to find the result in the TOC and then turn to the page number you want. We refer to this catalogue as purely a directory, and the text is simply a sort of text that is called a nonclustered index.
From the above example, we can understand what is "clustered index" and "nonclustered index". Further, we can easily understand that each table can have only one clustered index, because the catalog can only be sorted in one way.
The following table summarizes when to use clustered or nonclustered indexes (very important): &NBSP
In fact, we can understand the table above by using examples of the definitions of the previous clustered and nonclustered indexes. For example, returns a range of data items. For example, if you have a table with a time column that happens when you set up the aggregate index in that column, this speed will be quick when you query all the data from January 1, 2004 to October 1, 2004, because the text of your dictionary is sorted by date, The clustering index only needs to find the beginning and end data in all the data to be retrieved, and unlike nonclustered indexes, you must first look up the page number of each item in the table of contents, and then find the specific content based on the page number.
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