Data partitioning in SQL Server 2005 - Part I
Learn how to make life easier by dividing large tables and indexes into smaller parts.
Learn how to make life easier by dividing large tables and indexes into smaller parts.
It's small and neat but it might just save your data...Robyn Page's crib sheet tells you everything you wanted to know about SQL Server backup but were afraid to ask.
Oracle and SQL Server are both database platforms built on SQL, but there are vast differences between them. Janet Wong brings us a tale of her experiences in moving from Oracle to SQL Server as a developer.
Every SQL Server developer has a preferred method of doing things; mine is what I call molecular queries. These are queries assembled from atomic queries; by which, I mean that they address exactly one table. By combing atoms, I can create molecules.
Whether you use the forums here or post questions in the venerable Usenet usegroups, there are some basic courtesies you should follow. Sushula Iyer takes a minute to list some things that might help you get your next question answered quickly and completely.
The .NET Framework 2.0 and Visual Studio 2005 make it easy to create a basic but extensible database-monitoring solution without a lot of complexity or coding.
We've added a few more bundles to our sale, including a new book: The Best of SQLServerCentral.com - vol. 4. If you're not coming to the PASS 2006 Summit, this is your chance to snag this volume for your corporate bookshelf.
SQL Server does a great job of handling concurrency & ensuring that users can make changes in multi-user systems without conflict. However there are times a strict calling order is needed.
Sanchan Saxena gets to grips with the new index-tuning tools and features in SQL 2005
Working with memory in SQL Server and tuning your server for optimum performance gets more complex all the time, especially with the availability of 64-bit platforms. New author Paul Mu brings us a short guide to using the /3GB and PAE switches along with their implications for your server.
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I want to create a JSON document that contains data from this table:
TeamID TeamName City YearEstablished 1 Cowboys Dallas 1960 2 Eagles Philadelphia 1933If I run this code, what is returned?
SELECT json_objectagg('Team' : TeamName)
FROM dbo.NFLTeams;
See possible answers