Concatenation of Different SQL Server Data Types

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Problem

Is there a way to concatenate different data types in TSQL that does not require me to convert everything to the same data type.

Solution

TSQL provides 2 ways to concatenate data, the + sign and the new CONCAT() function. This tip will cover the differences in the two, so you can achieve the expected behavior in your code.

The way most us are used to concatenating data together is using the + sign. The problem we run into using this method is it expects the different items being concatenated together to be of the same data type. You have to perform an explicit conversion if they are not the same data type. The following example is trying to concatenate a INT and a String together, you can see SQL cannot handle the different data types.

INT String Error

The new CONCAT() function does an implicit conversion to string for all items being concatenated together. The other way, which requires more coding is to perform an explicit conversion and use the + method for concatenation. Below is an example of both methods where the result returns without errors. The first PRINT statement uses CONCAT() where an implicit conversion is performed and everything is converted to a string and then concatenated together. The second PRINT uses the + method for concatenation where you have to explicitly convert the INT to a String to get it to return without error.

INT String Success

The next example will be showing DATETIME concatenated with a String. This screenshot is using the + method for concatenation and it gives an error trying to concatenate a String with a DATETIME.

DATETIME String Error

Using the CONCAT() function, an implicit conversion will occur and enable this to run without error. Also you can choose to perform an explicit conversion when using the + method for concatenation.

DATETIME String Error

In summary, the CONCAT() function performs an implicit conversion of everything to a string before concatenating it together and returning the result. The + method for concatenation will perform an implicit conversion between string data types only, but if the data types are not of the same type, an explicit conversion has to be performed to achieve a successful result.

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About the author
MSSQLTips author Chad Churchwell Chad Churchwell is a SQL Server professional specializing in High Availability, Disaster Recovery, and Replication.

This author pledges the content of this article is based on professional experience and not AI generated.

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Comments For This Article




Monday, November 24, 2014 - 9:50:22 AM - Gerald Back To Top (35383)

I have just found the following Connect topic regarding CONCAT and different collations:

https://connect.microsoft.com/SQLServer/feedback/details/755202/simple-concat-ss-2012-gives-collation-error

 


Friday, March 14, 2014 - 9:05:08 AM - Me Back To Top (29758)

UPDATE Person

SET SignaturePricturePath = '/Files/Data' + CAST(SignaturePricturePath as VARCHAR(MAX)),

ProfilePicturePath = '/Files/Data' + CAST(ProfilePicturePath as VARCHAR(MAX))

GO

 

Tuesday, December 3, 2013 - 2:51:22 AM - Satish Back To Top (27663)

Nice one.

 

Thank You


Thursday, August 29, 2013 - 1:32:24 AM - AryanVerma Back To Top (26519)

Nice chad


Saturday, August 24, 2013 - 7:37:40 AM - Izhar Azati Back To Top (26470)

-- Take care to the collate of the fields

create table TestCollate (
 aaa varchar(10) COLLATE Latin1_General_CS_AS_KS_WS,
 bbb char(10) COLLATE Traditional_Spanish_ci_ai
)


insert into TestCollate( aaa, bbb ) values (' Test 1',' Test 2');

select concat( aaa, bbb ) from TestCollate;

-- ERROR: Cannot resolve the collation conflict between "Latin1_General_CS_AS_KS_WS" and "Traditional_Spanish_CI_AI" in the concat operation.


Monday, July 29, 2013 - 11:46:45 AM - Scott Coleman Back To Top (26050)

On older versions with no CONCAT() function, a lot of other string functions will do implicit conversion.  Instead of "CAST(@integer AS VARCHAR)" you can use "LTRIM(@integer)".  "REPLACE(@varchar, 'xyz', @integer)" also works.

I don't think any of these will convert NULL to an empty string, you'll still need ISNULL() functions.


Monday, July 29, 2013 - 10:39:26 AM - Todd Payne Back To Top (26047)

I think it is important to note that the concat function not only performs the implicit conversion, but it also converts null values to empty strings.

 

Declare@String1varchar(50)='String1'

Declare@String2Varchar(50)=NULL

SELECT@String1+@String2

-- Returns NULL

SELECTConcat(@String1,@String2)

-- Returns 'String1'

 















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