SQL Server 2012 (DENALI) TSQL – New Feature in SSMS – Surround With
I just stumbled on this new exciting feature of SSMS Denali while trying my hands querying on this new environment.
Here is a scenario: You’ve created a query or a logic with multiple lines of SQL statements. Now you want this to be validated by an IF-ELSE condition or iterate it in a WHILE loop. You will move the cursor to the top and make extra spaces for inserting IF/WHILE {condition} BEGIN, go to the Bottom and terminate the condition/loop with END statement.
But if you are on Denali you won’t have to do this and type anything. Just a few mouse click would do for you, let’s see how:
1. Select the SQL statement or logic you want to Surround with, then right click on it, select the “Surround With…” option:
2. Now double click on any 3 of your choice, here I selected the “If” condition:
3. The Editor will automatically write the “IF” syntax for you:
4. You just need to add the condition within brackets as per your requirement.
… nice feature introduced by Microsoft.
SQL Server 2012 (DENALI) TSQL – New feature | OFFSET FETCH Clause (for paging/pagination)
As per MS BOL, the new Denali’s OFFSET-FETCH Clause provides an option to fetch only a window or page of a fix set of results from the result set. OFFSET-FETCH can be used only with the ORDER BY clause.
This was the most awated feature for the frontend/GUI developers to display volumnous data in a small grid, page by page. Prior to this they used to devise not so complex but a bit complex SQL logic to display records page by page. Introduction of this feature has limited the complex logic to a few lines of single SQL statement which is much more optimized.
Let’s see how can we use this feature:
--// Example #1: -- This will skip first 100 records and show next 20 records SELECT BusinessEntityID, LoginID, JobTitle FROM HumanResources.Employee ORDER BY BusinessEntityID OFFSET 100 ROWS FETCH NEXT 20 ROWS ONLY; GO --// Example #2: -- Start from first record and show next 10 records SELECT BusinessEntityID, LoginID, JobTitle FROM HumanResources.Employee ORDER BY BusinessEntityID OFFSET 0 ROWS FETCH NEXT 10 ROWS ONLY; -- Skip first 10 records and show next 10 records SELECT BusinessEntityID, LoginID, JobTitle FROM HumanResources.Employee ORDER BY BusinessEntityID OFFSET 10 ROWS -- To show next page of 10 records, just change the offset by adding the page size, i.e 10. FETCH NEXT 10 ROWS ONLY; GO --// Example #3: -- To use this in front-end, the above logic can be made dynamic by using a few variables, like: DECLARE @StartRec INT DECLARE @PageSize INT DECLARE @RecordEnd INT SET @StartRec = 0 SET @PageSize = 10 SET @RecordEnd = @PageSize WHILE @RecordEnd <> 0 -- I'm using WHILE loop to simulate it here BEGIN SELECT BusinessEntityID, LoginID, JobTitle FROM HumanResources.Employee ORDER BY BusinessEntityID OFFSET @StartRec ROWS FETCH NEXT @PageSize ROWS ONLY SET @RecordEnd = @@ROWCOUNT -- Exit loop at 0 SET @StartRec = @StartRec + @PageSize END GO
Rules to use OFFSET FETCH (via MSDN):
1. ORDER BY is mandatory to use OFFSET and FETCH clause.
2. OFFSET clause is mandatory with FETCH. You can never use, ORDER BY … FETCH.
3. TOP cannot be combined with OFFSET and FETCH in the same query expression.
4. The OFFSET/FETCH rowcount expression can be any arithmetic, constant, or parameter expression that will return an integer value. The rowcount expression does not support scalar sub-queries.
More on MSDN, link: http://msdn.microsoft.com/en-us/library/gg699618%28v=sql.110%29.aspx
SQL Server 2012 (DENALI) TSQL – New features | Built-in Functions
Here is a list of some new function introduced in SQL Server Denali, some examples are taken from MSDN and here is the link for more details.
Logical Functions:
-- CHOOSE() SELECT CHOOSE ( 3, 'Manager', 'Director', 'Developer', 'Tester' ) AS Result; -- Developer SELECT CHOOSE ( 2, 'Manoj', 'Saurabh', 'Andy', 'Dave' ) AS Result; -- Saurabh GO -- IIF() DECLARE @a int = 45; DECLARE @b int = 40; SELECT IIF ( @a > @b, 'TRUE', 'FALSE' ) AS Result; -- TRUE GO
Note: The IIF() function was important for the developers that migrated from ACCESS to SQL Server. Introduction of these 2 functions will make their life easy.
Check the video Tutorial on CHOOSE() and IIF() functions.
Conversion Functions:
-- PARSE()
SELECT PARSE ('Monday, 13 December 2010' AS datetime2 USING 'en-US') AS Result;
SELECT PARSE ('€345,98' AS money USING 'de-DE') AS Result;
GO
-- TRY_CAST()
SELECT
CASE WHEN TRY_CAST ('test' as float) IS NULL
THEN 'Cast failed'
ELSE 'Cast succeeded'
END AS Result;
GO
-- TRY_CONVERT()
SELECT
CASE WHEN TRY_CONVERT (float,'test') IS NULL
THEN 'Cast failed'
ELSE 'Cast succeeded'
END AS Result;
GO
-- TRY_PARSE()
SELECT
CASE WHEN TRY_PARSE ('Aragorn' AS decimal, 'sr-Latn-CS') IS NULL
THEN 'True'
ELSE 'False'
END
AS Result;
GO
Note: The TRY_CAST(), TRY_CONVERT() & TRY_PARSE() functions added exception handling to the existing CAST(), CONVERT() and new PARSE() function respectively. Now developers can fully rely on these 2 functions while type converting values and defaulting them to something else on any execption.
Analytic Functions:
USE AdventureWorks2008R2;
GO
-- FIRST_VALUE() and LAST_VALUE()
SELECT
Name, ListPrice, ProductSubcategoryID,
FIRST_VALUE (Name) OVER (PARTITION BY ProductSubcategoryID ORDER BY ListPrice ASC) AS LeastExpensive,
LAST_VALUE (Name) OVER (PARTITION BY ProductSubcategoryID ORDER BY ListPrice ASC) AS LeastExpensive
FROM Production.Product;
-- LAG()
SELECT
BusinessEntityID, YEAR(QuotaDate) AS SalesYear, SalesQuota AS CurrentQuota,
LAG (SalesQuota, 1, 0) OVER (ORDER BY YEAR(QuotaDate)) AS PreviousQuota
FROM Sales.SalesPersonQuotaHistory
WHERE BusinessEntityID = 275 and YEAR(QuotaDate) IN ('2005','2006');
-- LEAD()
SELECT
TerritoryName, BusinessEntityID, SalesYTD,
LEAD (SalesYTD, 1, 0) OVER (PARTITION BY TerritoryName ORDER BY SalesYTD DESC) AS PrevRepSales
FROM Sales.vSalesPerson
WHERE TerritoryName IN (N'Northwest', N'Canada')
ORDER BY TerritoryName;
Note: The LAG() and LEAD() functions are already in Oracle and by introducing them in MS SQL Server’s Denali version is very much welcomed by TSQL developers. Plus the addition of FIRST_VALUE(), LAST_VALUE(), PERCENTILE_XXX(), etc will really add value and provide zeal to programmers in TSQL development, just like Ranking functions and Cube/Rollup did in 2005(08).
Some other new functions introduced are:
– CUME_DIST()
– PERCENTILE_CONT()
– PERCENTILE_DISC()
– PERCENT_RANK()
More details here on MS BOL: http://technet.microsoft.com/en-us/library/hh213234%28SQL.110%29.aspx
DB Basics – Is SELECT a DML (Data Manipulation Language)?
DML or Data Manipulation Langauge as the term suggest represents those SQL statements that manipulates the data in a database. Thus these langauges allows users to INSERT, UPDATE & DELETE the data in a particular database. Other than this the much debatable SELECT statement may or may not be considered as DML upon its usage.
A simple SELECT statement which fetches data from a table is a read-only language and cannot be called as DML.
But a modified version of SELECT i.e. ‘SELECT INTO’ can fall into the DML segment. The ‘SELECT INTO’ can be used to create a Table and insert records fetched from the SELECT statement.
Also, we can manipulate the data for reporting purpose while retriving by using the SELECT statement. The data in underlying tables is unchanged but on the frontend you get a view of modified data, like:
USE [AdventureWorks] GO SELECT ContactID, Title, FirstName, MiddleName, LastName, FirstName + ' ' + ISNULL(MiddleName,'') + ' ' + LastName as [FullName] -- Name manipulated by joining 3 part names. FROM Person.Contact SELECT SalesOrderID, SalesOrderDetailID, OrderQty, UnitPrice, OrderQty * UnitPrice as [TotalPrice] -- Manipulated cost by calculating it for total items purchased. FROM Sales.SalesOrderDetail
Thus SELECT also comes under DML and following is the list of all DMLs:
1. SELECT {COLUMN LIST} [INTO {TABLE_NAME}] [WHERE {WHERE condition}]
2. INSERT INTO {TABLE_NAME} VALUES (SET of Values)
3. UPDATE {TABLE_NAME} SET [WHERE {WHERE condition}]
4. DELETE FROM {TABLE_NAME} [WHERE {WHERE condition}]







