Happy Halloween 2008!
Steve Jones is taking a break on this fine holiday, enjoy a few bloopers before you head out with the kids for trick-or-treating.
2008-10-30
541 reads
Steve Jones is taking a break on this fine holiday, enjoy a few bloopers before you head out with the kids for trick-or-treating.
2008-10-30
541 reads
This technical article provides an overview of how to produce specific levels of index fragmentation. Useful for creating test plans.
2008-10-29
6,708 reads
One of the configuration options for Database Mirroring is the High Availability mode. With this option three servers are put in place the principal, mirror and witness servers. This is the only option that allows for automatic failover. One of the things that I have noticed is that when there are periodic network issues a failover occurs even though there are no issues with the Principal server. Are there any options to delay the failover?
2008-10-29
3,626 reads
Databases often contain sensitive information and cell-level encryption is a very effective method to protect this information from those who should not have access to it. Although, encryption is not without its challenges.
2008-10-29
3,815 reads
The bimonthly update on the world of energy from Steve Jones talks about wind power.
2008-10-29
797 reads
The bimonthly update on the world of energy from Steve Jones talks about wind power.
2008-10-29
545 reads
The bimonthly update on the world of energy from Steve Jones talks about wind power.
2008-10-29
514 reads
This SQL School video will show you how to use Management Studio to restore a database in SQL Server 2005.
2008-10-28
3,954 reads
2008-10-28
75 reads
2008-10-28
73 reads
Every organization I talk to has the same problem dressed up in different clothes....
By DataOnWheels
I am delighted to host this month’s T-SQL Tuesday invitation. If you are new...
By alevyinroc
Ten years (and a couple jobs) ago, I wrote about naming default constraints to...
Comments posted to this topic are about the item The day-to-day pressures of a...
Comments posted to this topic are about the item Using OPENJSON
Comments posted to this topic are about the item Data Modeling with dbt for...
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