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Cycling the ERRORLOG file and Deleting Backup History Information

Every DBA needs a few tricks up his/her sleeves to help them better manage their SQL Server 2000 environment. In this article I will explore a couple of such tricks. I will first explore how to cycle the SQL Server error log, and why you might want to do this. Secondly I will discuss backup history information and why you would need to periodically remove some of the older history information.

SQLServerCentral Article

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External Article

Practical SQL Server 2005 CLR Assemblies

One advantage of CLR assemblies is the ability to consume web services from within the database. This wouldn’t be easy with T-SQL, and would also require a lot of work in an unmanaged extended stored procedure. With .NET, it’s almost as simple as accessing a local DLL. There are just a couple of extra command-line utilities we need to run to be able to access web services from within a SQL assembly:

SQLServerCentral Article

Differential Backup Prediction

SQL Server 2000 has a rock solid backup scheme , but do you really need to run full backups every day? What if you could decide on the fly if it was more efficient for a full or a differential backup? Darwin Hatheway brings us the basis for a scheme that can predict the size of a differential backup by examining how much of the database has changed.

External Article

Try/Catch Block in SQL Server 2005

Server 2005 now supports a more programmable error trapping convention in T-SQL code. This error handling is known as the TRY/CATCH block. The TRY/CATCH block allows T-SQL to handling errors like other programming languages, such as Microsoft Visual C# and C++. In addition to the TRY/CATCH block, Microsoft has expanded the set of available system functions in SQL Server 2005 for returning error codes and messages when an error occurs in your T-SQL code. This article will explore the new TRY/CATCH block and explain the new system functions for returning error codes and messages.

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Question of the Day

What is Page Density

In SQL Server, there is a concept of page density. This is determined by how much data is stored on each page. What is a page density of 90%?

See possible answers