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Number of Columns Non-clustered index can contain up to 16 index keys. Where you are not restricted with this number in the included columns. In SQL Server, you can include up-to 1023 columns per each non-clustered index. But you have to add minimum one key column to your non-clustered index in order to create it.
An index with included columns can greatly improve query performance because all columns in the query are included in the index. The query optimizer can locate all columns values within the index without accessing table or clustered index resulting in fewer disk I/O operations.
Short: Although SQL Server allows us to add up to 16 columns to the clustered index key, with maximum key size of 900 bytes, the typical clustered index key is much smaller than what is allowed, with as few columns as possible.
You can't use a clustered index, but you can create an uncluttered index on multiple columns and gain a nice performance increase. Every uncluttered index contains the key values you specify, plus the value obtained from the clustered index. This acts as a pointer to the actual rows when you need their data.
In SQL Server 2000 and earlier, for a nonclustered index, all columns defined for an index were key columns, which meant they were part of every level of the index, from the root down to the leaf level. When a column is defined as an included column, it is part of the leaf level only.
In SQL Server 2000 and earlier, for a nonclustered index, all columns defined for an index were key columns, which meant they were part of every level of the index, from the root down to the leaf level. When a column is defined as an included column, it is part of the leaf level only.
Indexes with included columns provide the greatest benefit when covering the query. This means that the index includes all columns referenced by your query, as you can add columns with data types, number or size not allowed as index key columns.
The Include Clause. To include clause allows us to make a distinction between columns we would like to have in the entire index (key columns) and columns we only need in the leaf nodes (include columns). That means it allows us to remove columns from the non-leaf nodes if we don't need them there.
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