The SQL Server memory manager is one of the more complicated parts of SQL Server and we had the chance recently to talk to the person that ensures it runs as smoothly as possible. Get to know the man behind the SQLOS.
SQL Server 2000 and 2005 do not include much in the way of financial functions, but there are many sources for the formulas for financial calculations. In this tip, I present the present value (PV) and future value (FV) functions, both of which are scalar UDFs.
In this video, Kathi continues her T-SQL series and exands how to use the WHERE clause.
We've moved the subscriptions for the SQL Server Standard to it's own site and just completed the November issue. Read on for how to access your subscriptions or subscribe today.
This is the last week to register for the PASS 2006 Summmit in Seattle and save $300. Read on about what you'll be missing if you don't get up there.
The definitively "hands-on" guide to handling dates and times in SQL Server
Data warehousing is becoming more and more popular, especially as companies seek to leverage the information stored in various systems to improve their business processes. Warehousing expert Vincent Rainardi brings us the next installment of his series on data warehousing, examining the issues of loading data.
In this and the related articles, we will overview Actions in Analysis Services 2005. Much as they did in the previous version of Analysis Services, Actions allow information consumers to go beyond the robust OLAP perspective offered by Analysis Services, and to "step outside" for related information, or to generate commands or initialize programs, without leaving their current analysis focus.
How do your indexes perform under different fragmentation levels in SQL 2000? Joe Doherty brings us part 1 of his look at this topic with an examination of how your data is stored and a detailed analysis of DBCC SHOWCONTIG.
Learn how to make life easier by dividing large tables and indexes into smaller parts.
Every organization I talk to has the same problem dressed up in different clothes....
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Ten years (and a couple jobs) ago, I wrote about naming default constraints to...
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I have some data in a table that looks like this:
BeerID BeerName brewer beerdescription 1 Becks Interbrew Beck's is a German-style pilsner beer 2 Fat Tire New Belgium Toasty malt, gentle sweetness, flash of fresh hop bitterness. 3 Mac n Jacks Mac & Jack's Brewery This beer erupts with a floral, hoppy taste 4 Alaskan Amber Alaskan Brewing Alaskan Brewing Amber Ale is an "alt" style beer 8 Kirin Kirin Brewing Kirin Ichiban is a Lager-type beerIf I run this, what is returned?
select t1.[key]
from openjson((select t.* FROM Beer AS t for json path)) t1 See possible answers