Skip to main content

Paging in SQL server 2012 stored procedure using OFFSET and FETCH

In this article we will learn about pagination using OFFSET and FETCH, OFFSET and FETCH is the new features of SQL Server 2012. In earlier version this feature is not available so was very difficult to implement paging in our procedures it also kill procedures performance.

Pagination is very easy in SQL Server 2012. New feature of SQL Server 2012(OFFSET and FETCH) is described below.

OFFSET: OFFSET skips the specific number of rows. The number can be zero or greater than zero.

FETCH: FETCH returns specific number of rows after processing the OFFSET clause. The number can be one or greater than one.

OFSET Syntax:

OFFSET { integer_constant | offset_row_count_expression } { ROW | ROWS }

FETCH Syntax:

FETCH { FIRST|NEXT } <rowcount expression> { ROW|ROWS } ONLY

Limitation of OFFSET and FETCH:
  1. If you are using OFFSET and FETCH, it’s mandatory to use ORDER BY clause.
  2. OFFSET is mandatory if you are using FETCH.
  3. In query expression you can’t use TOP with OFFSET and FETCH.
  4. You can’t use COUNT(*) in query expression with OFFSET and FETCH.

Example: Suppose we have a table “Inventory” which has some basic data and we want to apply pagination when fetching the records of inventory in our procedure.

Run the following query to create “Inventory” table with some dummy records.

       ,Title VARCHAR(500)
       ,SKU VARCHAR(20)
       ,Price DECIMAL(18,2)
       ,Created_Date DATETIME
       ,Updated_Date DATETIME

DECLARE @cnt INT=1000
       INSERT INTO Inventory(Title,SKU,Price,Created_Date,Updated_Date)
       SELECT 'Title'+CONVERT(VARCHAR(5),@cnt),'SKU'++CONVERT(VARCHAR(5),@cnt),
       SET @cnt=@cnt-1

Now see the following script which is implemented with pagination.

-- =============================================
-- Author:                     Dilip Kumar SIngh
-- Create date: 04,Aug 2016
-- Description: 
-- =============================================
            @Index INT=0,
            @PageSize INT= 20
            SET NOCOUNT ON;
            SELECT ID,Title,SKU,Price,Created_Date
            FROM Inventory ORDER BY ID ASC
            OFFSET (@PageSize)*(@Index) ROWS --Offset to skip specific number of rows
            FETCH NEXT @PageSize ROWS ONLY   --fetch to fetch specific number of rows
            SET NOCOUNT OFF;

Now execute the procedure to passing variable @Index and @Page it will fetch records accordingly.
Suppose I want to get 10 records for page index 1 then I will execute procedure as below.

EXEC usp_GetInventory @index=0,@PageSize=10


Note: in @Index you will pass the grid index value which should be started from zero, so you will pass value like @index=grid_ index-1, if index value is 1, 2,3,4,5 … or if you want to pass index value as same from 1 then change the procedure for OFFSET as OFFSET @PageSize*(@Index-1). In @pageSize you will pass the value to display number of records in grid.

Popular posts from this blog

Merge and Merge join transformation in SSIS

Using Merge Transformation we can combine two sorted data-set into single data-set basically Merge Transformation used to combines rows from two sorted data flows into one sorted data flow. Following tasks you may perform using Merge Transformation: 1.Suppose we have a scenario like, we need to merge data from a database table and excel means we want to merge data from two different data sources. For such type of scenario, you can use Merge Transformation. 2.If we want to merge data from two same structured tables but exists two different servers. 3.Sometimes we get an error due to data in a row, after correcting errors in the data we can re-merge rows easily. See below explanations may help you to understand Merge Transformation: I do evaluate here, you already know about the data source, data conversion, data flow, task flow, control flow etc. Note:Before Merge transformation, we need to sort the data using Sort Transformation. After sorting data add data path to Merge…

Add day to ISODate in MongoDB

We can use $add operator to add days in ISODate in mongodb, $add is the Arithmetic Aggregation Operator which adds number and date in mongodb.

{ $add: [ <expression1>, <expression2>, ... ] }

Note:  If one of the argument is date $add operator treats to other arguments as milliseconds to add to the date.
Example: Suppose we have a Test collection as below.

{"Title" : "Add day to ISODate in MongoBD","CreatedDate" : ISODate("2016-07-07T08:00:00.000Z")}

Query to add 2 days in CreatedDate

db.Test.aggregate([      { $project: { Title: 1, AddedDate: { $add: [ "$CreatedDate", 2*24*60*60000 ] } } }    ])


{ "_id" : ObjectId("579a1567ac1b3f3732483de0"), "Title" : "Add day to ISODate in MongoBD", "AddedDate" : ISODate("2016-07-09T08:00:00.000Z") }

Note: As mentioned in above note we have to convert days in millisecond because $add operator treat to other arg…

What is difference between UNION and UNION ALL in SQL Server

We use UNION and UNION ALL operator to combine multiple results set into one result set.
UNION operator is used to combining multiple results set into one result set but removes any duplicate rows. Basically, UNION is used to performing a DISTINCT operation across all columns in the result set. UNION operator has the extra overhead of removing duplicate rows and sorting result.
UNION ALL operator use to combine multiple results set into one result set but it does not remove any duplicate result. Actually, this does not remove duplicate rows so it is faster than the UNION operator. If you want to combine multiple results and without duplicate records then use UNION otherwise UNION ALL is better.
Following some rules for using UNION/UNION ALL operator
1.The number of the column should be the same in the query's when you want to combine them. 2.The column should be of the same data type. 3.ORDER BY clause can be applied to the overall result set not within each result set.
4.Column name of …