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Home 2017 August SQL Server 2012: Introduced the new form of TRY CATCH Exception Handling using THROW

SQL Server 2012: Introduced the new form of TRY CATCH Exception Handling using THROW

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As a DBA, I also defined the database coding standard in my organization in which I also created template for TRY – CATCH block.

For few old projects, we are still working on SQL Server 2008, but after SQL Server 2012, I had to change the format of TRY – CATCH block.
SQL Server 2012 introduced the new form of CATCH block which I am using now for all new projects where we are using SQL Server 2014/2016.

Below is a comparison between the New CATCH and Old CATCH:

The old approach of CATCH:

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BEGIN TRY
DECLARE @n AS INT;
SET @n = 7/0
END TRY
BEGIN CATCH
DECLARE @message NVARCHAR (4000)
DECLARE @severity INT
DECLARE @state INT
 
SELECT @message = ERROR_MESSAGE ()
SELECT @severity = ERROR_SEVERITY ()
SELECT @state = ERROR_STATE ()
 
RAISERROR (@message,@severity,@state)
END CATCH

Error message in result:

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Msg 50000, Level 16, State 1, Line 14
Divide by zero error encountered.

The new approach of CATCH:

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BEGIN TRY
DECLARE @n AS INT
SET @n = 7/0
END TRY
BEGIN CATCH
THROW
END CATCH

Error message in result:

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Msg 8134, Level 16, State 1, Line 3
Divide by zero error encountered.

Aug 17, 2017Anvesh Patel
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Anvesh Patel
Anvesh Patel

Database Engineer

August 17, 2017 SQL ServerAnvesh Patel, database, database research and development, dbrnd, SQL Query, SQL Server, SQL Server 2012, SQL Server Administrator, SQL Server Error, SQL Server Monitoring, SQL Server Performance Tuning, SQL Server Programming, SQL Server Tips and Tricks, throw, TRY CATCH, TSQL
About Me!

I'm Anvesh Patel, a Database Engineer certified by Oracle and IBM. I'm working as a Database Architect, Database Optimizer, Database Administrator, Database Developer. Providing the best articles and solutions for different problems in the best manner through my blogs is my passion. I have more than six years of experience with various RDBMS products like MSSQL Server, PostgreSQL, MySQL, Greenplum and currently learning and doing research on BIGData and NoSQL technology. -- Hyderabad, India.

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