Error Handling In Mssql 2000
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into designing transactions and offers a few tips to help you develop custom error handling routines for your applications. By Tim Chapman | June 5, 2006, 12:00 AM PST RSS Comments Facebook Linkedin Twitter More Email Print Reddit Delicious Digg Pinterest Stumbleupon Google Plus Most iterative language compilers have built-in error handling routines (e.g., TRY…CATCH statements) that developers can leverage when designing their code. Although SQL Server 2000 developers don't enjoy error handling in sql server 2012 the luxury that iterative language developers do when it comes to built-in tools, they can use the @@ERROR system variable to design their own effective error-handling tools. Introducing transactions In order to grasp how error handling works in SQL Server 2000, you must first understand the concept of a database transaction. In database terms, a transaction is a series of statements that occur as a single unit of work. To illustrate, suppose you have three statements that you need to execute. The transaction can be designed in such a way so that all three statements occur successfully, or none of them occur at all. When data manipulation operations are performed in SQL Server, the operation takes place in buffer memory and not immediately to the physical table. Later, when the CHECKPOINT process is run by SQL Server, the committed changes are written to disk. This means that when transactions are occurring, the changes are not made to disk during the transaction, and are never written to disk until committed. Long-running transactions require more processing memory and require that the database hold locks for a longer period of time. Thus, you must be careful when designing long running transactions in a production environment. Here's a good example of how using transactions is useful. Withdrawing
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how you should implement error handling when you write stored procedures, including when you call them from ADO. The other article, Error Handling in SQL Server - a Background, gives a deeper description of http://www.sommarskog.se/error-handling-II.html the idiosyncrasies with error handling in SQL Server and ADO. That article is in some sense part one in the series. However, you can read this article without reading the background article first, and if you are not a very experienced user of SQL Server, I recommend you to start here. In places there are links to the background article, if you want more information about a certain issue. Note: this article error handling is aimed at SQL2000 and earlier versions of SQL Server. SQL2005 offers significantly improved methods for error handling with TRY-CATCH. This article is not apt if you are using SQL 2005 or later. I don't have a complete article on error handling for SQL 2005, but I have an unfinished article with a section Jumpstart Error Handling that still can be useful. Table of Contents: Introduction The Presumptions A General Example Checking error handling in Calls to Stored Procedures The Philosophy of Error Handling General Requirements Why Do We Check for Errors? When Should You Check @@error? ROLLBACK or not to ROLLBACK - That's the Question SET XACT_ABORT ON revisited Error Handling with Cursors Error Handling with Triggers Error Handling with User-Defined Functions Error Handling with Dynamic SQL Error Handling in Client Code What to Do in Case of an Error? Command Timeouts Why is My Error Not Raised? Getting the Return Value from a Stored Procedure Acknowledgements and Feedback Revision History Introduction Error handling in stored procedures is a very tedious task, because T-SQL offers no exception mechanism, or any On Error Goto. All you have is the global variable @@error which you need to check after each statement for a non-zero value to be perfectly safe. If you call a stored procedure, you also need to check the return value from the procedure. In fact, this is so extremely tedious, so you will find that you will have to make compromises and in some situations assume that nothing can go wrong. Still, you cannot just ignore checking for errors, because ignoring an error could cause your updates to be incomplete, and compromise the integrity of your data. Or it can cause a transaction to run for m