What is the difference between clustered and nonclustered index in sql




















Without an index, you would have to search the whole book. Database indexes work in the same way. Without indexes you would have to search the whole table in order to perform a specific database operation. With indexes, you do not have to scan through all the table records.

The index points you directly to the record that you are searching for, significantly reducing your query execution time. In this article, we will look at what clustered and non-clustered index are, how they are created and what the main differences between the two are. We will also look at when to use clustered or non-clustered indexes in SQL Server.

A clustered index is an index which defines the physical order in which table records are stored in a database. Since there can be only one way in which records are physically stored in a database table, there can be only one clustered index per table. By default a clustered index is created on a primary key column. Execute the following script:. The above script creates a dummy database Hospital.

The database has 4 columns: id, name, gender, age. The id column is the primary key column. When the above script is executed, a clustered index is automatically created on the id column. This means no two rows can have the same value for the index key. Otherwise, the index is not unique and multiple rows can share the same key value.

For more information, see Create Unique Indexes. See Indexes for additional types of special purpose indexes. When this query is executed, the query optimizer evaluates each available method for retrieving the data and selects the most efficient method. The method may be a table scan, or may be scanning one or more indexes if they exist. When performing a table scan, the query optimizer reads all the rows in the table, and extracts the rows that meet the criteria of the query.

However, a table scan could be the most efficient method if, for example, the result set of the query is a high percentage of rows from the table. When the query optimizer uses an index, it searches the index key columns, finds the storage location of the rows needed by the query and extracts the matching rows from that location.

A primary key is a unique index that is clustered by default. By default means that when you create a primary key , if the table is not clustered yet, the primary key will be created as a clustered unique index. Can we have two clustered index on a table? A clustered index sorts and stores the data rows in the table based on the index key values.

Therefore only one clustered index can be created on each table because the data rows themselves can only be sorted in one order. If you need multiple clustered index on a table , you could create indexed view on that table. Can a table have both clustered and nonclustered index? Answer no 2: no, not usually, but you should try to find the most optimal execution plan for you most important queries, and that will include covering indexes.

But keep in mind that the clustering key is already included at the page level of your non clustered indexes. How do you create a cluster index? To create a clustered index by using the Table Designer. In Object Explorer, expand the database on which you want to create a table with a clustered index.

Right-click the Tables folder and click New Table. Create a new table as you normally would. Right-click the new table created above and click Design. What is a unique index? Unique indexes are indexes that help maintain data integrity by ensuring that no two rows of data in a table have identical key values. When you create a unique index for an existing table with data, values in the columns or expressions that comprise the index key are checked for uniqueness.

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