In this article, we will learn how to handle exceptions in SQL Server and also see how to capture or log the exception in case of any DB Level Exception occurs so that the Developer can refer to that Error log, can check the severity of the Exception, and fix it without wasting too much time in finding the exception causing procedure or function or line which is causing the exception.
In order to demonstrate how an exception is thrown in the procedure, I have created a Sample Procedure i.e. usp_SampleProcedure as shown below
CREATE PROCEDURE dbo.[usp_SampleProcedure] AS BEGIN SELECT 1 / 0 AS Result; END
In the above procedure, I have written a query which will thow Divide by Zero Exception on the execution of the procedure.
Now in order to handle this exception, we need to use a try-catch block in the procedure. In case of exception, we will handle or log the exception in the catch block. I have created a Table i.e. DBErrorLogs in order to capture the DB Level Error. The schema of the table is shown below.
Schema of Table DBErrorLogs:
CREATE TABLE dbo.DBErrorLogs ( ErrorLogID BIGINT IDENTITY NOT NULL, UserName NVARCHAR (200) NOT NULL, ErrorNumber INT NOT NULL, ErrorState INT NOT NULL, ErrorSeverity INT NOT NULL, ErrorLine INT NOT NULL, ErrorProcedure VARCHAR (max) NOT NULL, ErrorMessage VARCHAR (max) NOT NULL, ErrorOccuredOn DATETIME NOT NULL, CONSTRAINT PK_DBErrorLogs PRIMARY KEY (ErrorLogID) )
Procedure i.e. usp_SampleProcedure after using Try Catch Block:
CREATE PROCEDURE dbo.[usp_SampleProcedure] AS BEGIN BEGIN TRY SELECT 1 / 0 AS Result; END TRY BEGIN CATCH INSERT INTO dbo.dbErrorLogs ( UserName ,ErrorNumber ,ErrorState ,ErrorSeverity ,ErrorLine ,ErrorProcedure ,ErrorMessage ,ErrorOccuredOn ) VALUES ( SUSER_SNAME() ,ERROR_NUMBER() ,ERROR_STATE() ,ERROR_SEVERITY() ,ERROR_LINE() ,ERROR_PROCEDURE() ,ERROR_MESSAGE() ,GETDATE() ) END CATCH END
As you can see, we are capturing the various fields with the help of predefined functions provided by SQL like UserName, ErrorNumber, ErrorState, ErrorSeverity, ErrorLine, ErrorProcedure, ErrorMessage, ErrorOccuredOn, etc. which will help us to find us the real root causing issue of the Exception. Let’s understand each function quickly.
1. SUSER_SNAME(): Returns the Login Name for the current Security Context.
2. ERROR_NUMBER(): Returns the error number of the error which caused the catch block of a try-catch construct to execute. ERROR_NUMBER() returns NULL when called outside of the scope of the Catch Block.
3. ERROR_STATE(): Returns the State Number of the error message that caused the Catch Block to Run and it returns NULL when called outside of the scope of the Catch Block.
4. ERROR_SEVERITY(): returns the Severity of the Error when the error or exception occurs. There are several levels of Error Severity defined by Microsoft which can be used to identify the type of the problem encountered by the SQL Server. For more, you can visit https://docs.microsoft.com/en-us/sql/relational-databases/errors-events/database-engine-error-severities?view=sql-server-ver15 link. ERROR_SEVERITY() returns NULL when called outside of the scope of the Catch Block.
5. ERROR_LINE(): returns the line number of the occurrence of the Error. ERROR_LINE returns NULL when called outside of the scope of the Catch Block.
6. ERROR_PROCEDURE(): returns the name of the procedure or trigger on the occurrence of the Error. ERROR_PROCEDURE() returns NULL in case error did not occur in the stored procedure or trigger or when called outside of the scope of the Catch Block.
7. ERROR_MESSAGE(): returns the message text of the error that caused the catch block of a try-catch block to execute.
#database #sql #sql-server #developer
SQL stands for Structured Query Language. SQL is a scripting language expected to store, control, and inquiry information put away in social databases. The main manifestation of SQL showed up in 1974, when a gathering in IBM built up the principal model of a social database. The primary business social database was discharged by Relational Software later turning out to be Oracle.
Models for SQL exist. In any case, the SQL that can be utilized on every last one of the major RDBMS today is in various flavors. This is because of two reasons:
1. The SQL order standard is genuinely intricate, and it isn’t handy to actualize the whole standard.
2. Every database seller needs an approach to separate its item from others.
Right now, contrasts are noted where fitting.
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When installing Machine Learning Services in SQL Server by default few Python Packages are installed. In this article, we will have a look on how to get those installed python package information.
When we choose Python as Machine Learning Service during installation, the following packages are installed in SQL Server,
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This is part 3 of “MS SQL Server- Zero to Hero” and in this article, we will be discussing about the SCHEMAS in SQL SERVER. Before getting into this article, please consider to visit previous articles in this series from below,
In part one, we learned the basics of data, database, database management system, and types of DBMS and SQL.
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When you develop large chunks of T-SQL code with the help of the SQL Server Management Studio tool, it is essential to test the “Live” behavior of your code by making sure that each small piece of code works fine and being able to allocate any error message that may cause a failure within that code.
The easiest way to perform that would be to use the T-SQL debugger feature, which used to be built-in over the SQL Server Management Studio tool. But since the T-SQL debugger feature was removed completely from SQL Server Management Studio 18 and later editions, we need a replacement for that feature. This is because we cannot keep using the old versions of SSMS just to support the T-SQL Debugger feature without “enjoying” the new features and bug fixes that are released in the new SSMS versions.
If you plan to wait for SSMS to bring back the T-SQL Debugger feature, vote in the Put Debugger back into SSMS 18 to ask Microsoft to reintroduce it.
As for me, I searched for an alternative tool for a T-SQL Debugger SSMS built-in feature and found that Devart company rolled out a new T-SQL Debugger feature to version 6.4 of SQL – Complete tool. SQL Complete is an add-in for Visual Studio and SSMS that offers scripts autocompletion capabilities, which help develop and debug your SQL database project.
The SQL Debugger feature of SQL Complete allows you to check the execution of your scripts, procedures, functions, and triggers step by step by adding breakpoints to the lines where you plan to start, suspend, evaluate, step through, and then to continue the execution of your script.
You can download SQL Complete from the dbForge Download page and install it on your machine using a straight-forward installation wizard. The wizard will ask you to specify the installation path for the SQL Complete tool and the versions of SSMS and Visual Studio that you plan to install the SQL Complete on, as an add-in, from the versions that are installed on your machine, as shown below:
Once SQL Complete is fully installed on your machine, the dbForge SQL Complete installation wizard will notify you of whether the installation was completed successfully or the wizard faced any specific issue that you can troubleshoot and fix easily. If there are no issues, the wizard will provide you with an option to open the SSMS tool and start using the SQL Complete tool, as displayed below:
When you open SSMS, you will see a new “Debug” tools menu, under which you can navigate the SQL Debugger feature options. Besides, you will see a list of icons that will be used to control the debug mode of the T-SQL query at the leftmost side of the SSMS tool. If you cannot see the list, you can go to View -> Toolbars -> Debugger to make these icons visible.
During the debugging session, the SQL Debugger icons will be as follows:
The functionality of these icons within the SQL Debugger can be summarized as:
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Since the release of SQL Server 2017 for Linux, Microsoft has pretty much changed the entire game. It enabled a whole new world of possibilities for their famous relational database, offering what was only available in the Windows space until then.
I know that a purist DBA would tell me right away that the out of the box SQL Server 2019 Linux version has several differences, in terms of features, in regards to its Windows counterpart, such as:
However, I got curious enough to think “what if they can be compared, at least to some extent, against things that both can do?” So, I pulled the trigger on a couple of VMs, prepared some simple tests, and collected data to present to you. Let’s see how things turn out!
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