What do Clustered and Non-Clustered index actually mean?

With a clustered index the rows are stored physically on the disk in the same order as the index. Therefore, there can be only one clustered index.

With a non clustered index there is a second list that has pointers to the physical rows. You can have many non clustered indices, although each new index will increase the time it takes to write new records.

It is generally faster to read from a clustered index if you want to get back all the columns. You do not have to go first to the index and then to the table.

Writing to a table with a clustered index can be slower, if there is a need to rearrange the data.

A clustered index means you are telling the database to store close values actually close to one another on the disk. This has the benefit of rapid scan / retrieval of records falling into some range of clustered index values.

For example, you have two tables, Customer and Order:

Customer----------IDNameAddressOrder----------IDCustomerIDPrice

If you wish to quickly retrieve all orders of one particular customer, you may wish to create a clustered index on the "CustomerID" column of the Order table. This way the records with the same CustomerID will be physically stored close to each other on disk (clustered) which speeds up their retrieval.

P.S. The index on CustomerID will obviously be not unique, so you either need to add a second field to "uniquify" the index or let the database handle that for you but that's another story.

Regarding multiple indexes. You can have only one clustered index per table because this defines how the data is physically arranged. If you wish an analogy, imagine a big room with many tables in it. You can either put these tables to form several rows or pull them all together to form a big conference table, but not both ways at the same time. A table can have other indexes, they will then point to the entries in the clustered index which in its turn will finally say where to find the actual data.

In SQL Server, row-oriented storage both clustered and nonclustered indexes are organized as B trees.

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The key difference between clustered indexes and non clustered indexes is that the leaf level of the clustered index is the table. This has two implications.

1. The rows on the clustered index leaf pages always contain something for each of the (non-sparse) columns in the table (either the value or a pointer to the actual value).
2. The clustered index is the primary copy of a table.

Non clustered indexes can also do point 1 by using the INCLUDE clause (Since SQL Server 2005) to explicitly include all non-key columns but they are secondary representations and there is always another copy of the data around (the table itself).

CREATE TABLE T(A INT,B INT,C INT,D INT)CREATE UNIQUE CLUSTERED INDEX ci ON T(A, B)CREATE UNIQUE NONCLUSTERED INDEX nci ON T(A, B) INCLUDE (C, D)

The two indexes above will be nearly identical. With the upper-level index pages containing values for the key columns A, B and the leaf level pages containing A, B, C, D

There can be only one clustered index per table, because the data rowsthemselves can be sorted in only one order.

The above quote from SQL Server books online causes much confusion

In my opinion, it would be much better phrased as.

There can be only one clustered index per table because the leaf level rows of the clustered index are the table rows.

The book's online quote is not incorrect but you should be clear that the "sorting" of both non clustered and clustered indices is logical, not physical. If you read the pages at leaf level by following the linked list and read the rows on the page in slot array order then you will read the index rows in sorted order but physically the pages may not be sorted. The commonly held belief that with a clustered index the rows are always stored physically on the disk in the same order as the index key is false.

This would be an absurd implementation. For example, if a row is inserted into the middle of a 4GB table SQL Server does not have to copy 2GB of data up in the file to make room for the newly inserted row.

Instead, a page split occurs. Each page at the leaf level of both clustered and non clustered indexes has the address (File: Page) of the next and previous page in logical key order. These pages need not be either contiguous or in key order.

e.g. the linked page chain might be 1:2000 <-> 1:157 <-> 1:7053

When a page split happens a new page is allocated from anywhere in the filegroup (from either a mixed extent, for small tables or a non-empty uniform extent belonging to that object or a newly allocated uniform extent). This might not even be in the same file if the filegroup contains more than one.

The degree to which the logical order and contiguity differ from the idealized physical version is the degree of logical fragmentation.

In a newly created database with a single file, I ran the following.

CREATE TABLE T  (     X TINYINT NOT NULL,     Y CHAR(3000) NULL  );CREATE CLUSTERED INDEX ix  ON T(X);GO--Insert 100 rows with values 1 - 100 in random orderDECLARE @C1 AS CURSOR,        @X  AS INTSET @C1 = CURSOR FAST_FORWARDFOR SELECT number    FROM   master..spt_values    WHERE  type = 'P'           AND number BETWEEN 1 AND 100    ORDER  BY CRYPT_GEN_RANDOM(4)OPEN @C1;FETCH NEXT FROM @C1 INTO @X;WHILE @@FETCH_STATUS = 0  BEGIN      INSERT INTO T (X)      VALUES        (@X);      FETCH NEXT FROM @C1 INTO @X;  END

Then checked the page layout with

SELECT page_id,       X,       geometry::Point(page_id, X, 0).STBuffer(1)FROM   T       CROSS APPLY sys.fn_PhysLocCracker( %% physloc %% )ORDER  BY page_id

The results were all over the place. The first row in key order (with value 1 - highlighted with an arrow below) was on nearly the last physical page.

Fragmentation can be reduced or removed by rebuilding or reorganizing an index to increase the correlation between logical order and physical order.

After running

ALTER INDEX ix ON T REBUILD;

I got the following

If the table has no clustered index it is called a heap.

Non clustered indexes can be built on either a heap or a clustered index. They always contain a row locator back to the base table. In the case of a heap, this is a physical row identifier (rid) and consists of three components (File:Page: Slot). In the case of a Clustered index, the row locator is logical (the clustered index key).

For the latter case if the non clustered index already naturally includes the CI key column(s) either as NCI key columns or INCLUDE-d columns then nothing is added. Otherwise, the missing CI key column(s) silently gets added to the NCI.

SQL Server always ensures that the key columns are unique for both types of indexes. The mechanism in which this is enforced for indexes not declared as unique differs between the two index types, however.

Clustered indexes get a uniquifier added for any rows with key values that duplicate an existing row. This is just an ascending integer.

For non clustered indexes not declared as unique SQL Server silently adds the row locator into the non clustered index key. This applies to all rows, not just those that are actually duplicates.

The clustered vs non clustered nomenclature is also used for column store indexes. The paper Enhancements to SQL Server Column Stores states

Although column store data is not really "clustered" on any key, wedecided to retain the traditional SQL Server convention of referringto the primary index as a clustered index.