What is the best way to paginate results in SQL Server

Finally, Microsoft SQL Server 2012 was released, I really like its simplicity for a pagination, you don't have to use complex queries like answered here.

For getting the next 10 rows just run this query:

SELECT * FROM TableName ORDER BY id OFFSET 10 ROWS FETCH NEXT 10 ROWS ONLY;

https://docs.microsoft.com/en-us/sql/t-sql/queries/select-order-by-clause-transact-sql#using-offset-and-fetch-to-limit-the-rows-returned

Key points to consider when using it:

• ORDER BY is mandatory to use OFFSET ... FETCH clause.
• OFFSET clause is mandatory with FETCH. You cannot use ORDER BY ... FETCH.
• TOP cannot be combined with OFFSET and FETCH in the same query expression.

Getting the total number of results and paginating are two different operations. For the sake of this example, let's assume that the query you're dealing with is

SELECT * FROM Orders WHERE OrderDate >= '1980-01-01' ORDER BY OrderDate

In this case, you would determine the total number of results using:

SELECT COUNT(*) FROM Orders WHERE OrderDate >= '1980-01-01'

...which may seem inefficient, but is actually pretty performant, assuming all indexes etc. are properly set up.

Next, to get actual results back in a paged fashion, the following query would be most efficient:

SELECT  *
FROM    ( SELECT    ROW_NUMBER() OVER ( ORDER BY OrderDate ) AS RowNum, *
          FROM      Orders
          WHERE     OrderDate >= '1980-01-01'
        ) AS RowConstrainedResult
WHERE   RowNum >= 1
    AND RowNum < 20
ORDER BY RowNum

This will return rows 1-19 of the original query. The cool thing here, especially for web apps, is that you don't have to keep any state, except the row numbers to be returned.

Incredibly, no other answer has mentioned the fastest way to do pagination in all SQL Server versions. Offsets can be terribly slow for large page numbers as is benchmarked here. There is an entirely different, much faster way to perform pagination in SQL. This is often called the "seek method" or "keyset pagination" as described in this blog post here.

SELECT TOP 10 first_name, last_name, score, COUNT(*) OVER()
FROM players
WHERE (score < @previousScore)
   OR (score = @previousScore AND player_id < @previousPlayerId)
ORDER BY score DESC, player_id DESC

The "seek predicate"

The @previousScore and @previousPlayerId values are the respective values of the last record from the previous page. This allows you to fetch the "next" page. If the ORDER BY direction is ASC, simply use > instead.

With the above method, you cannot immediately jump to page 4 without having first fetched the previous 40 records. But often, you do not want to jump that far anyway. Instead, you get a much faster query that might be able to fetch data in constant time, depending on your indexing. Plus, your pages remain "stable", no matter if the underlying data changes (e.g. on page 1, while you're on page 4).

This is the best way to implement pagination when lazy loading more data in web applications, for instance.

Note, the "seek method" is also called keyset pagination.

Total records before pagination

The COUNT(*) OVER() window function will help you count the number of total records "before pagination". If you're using SQL Server 2000, you will have to resort to two queries for the COUNT(*).

From SQL Server 2012, we can use OFFSET and FETCH NEXT Clause to achieve the pagination.

Try this, for SQL Server:

In the SQL Server 2012 a new feature was added in the ORDER BY clause, to query optimization of a set data, making work easier with data paging for anyone who writes in T-SQL as well for the entire Execution Plan in SQL Server.

Below the T-SQL script with the same logic used in the previous example.

--CREATING A PAGING WITH OFFSET and FETCH clauses IN "SQL SERVER 2012"
DECLARE @PageNumber AS INT, @RowspPage AS INT
SET @PageNumber = 2
SET @RowspPage = 10 
SELECT ID_EXAMPLE, NM_EXAMPLE, DT_CREATE
FROM TB_EXAMPLE
ORDER BY ID_EXAMPLE
OFFSET ((@PageNumber - 1) * @RowspPage) ROWS
FETCH NEXT @RowspPage ROWS ONLY;

TechNet: Paging a Query with SQL Server