Ensuring the availability of your database servers is becoming more important all the time. Fortunately you have more choices than ever. Bilal Ahmed looks at some of the possible solutions available for SQL Server.
A SQL Server 2005 feature that I appreciate and want to demonstrate is the OUTPUT clause. The OUTPUT clause helps in returning the actual data from a table soon after an insert. Applications require return values such as the new identity value, the computed column value or the default value generated by the default constraint.
The third part of a great data warehousing series from Vincent Rainardi looks different methods of extracting data from the source system along with the advantages and disadvantages of each.
This article examines the problem of complex data in integration projects and presents solutions for handling this data to create seamless integration throughout the enterprise.
After a bit of a hiatus, the interviews are back. This time we take a few minutes with Dan Jones of the SQL Server development team.
Testing is key to ensuring a process actually works when it comes time to implement, rather than finding out when time may be of the essence. This holds true for testing SQL Server restores as well.
Joe discusses why he prefers command line tools over GUI, then launches into a how-to about querying sysperfinfo to resolve performance issues. Couple nice sample queries included!
If you deliver applications to a customer, then you have struggled with the challenges of updating schemas as they change. New author Serhiy Snisarenko brings us his comprehensive process and code to make this task easier.
A SELECT query returns results as a rowset. You can optionally retrieve formal results of a SQL query as XML by specifying the FOR XML clause in the query.
The second part of a great data warehousing series from Vincent Rainardi looks at the decision to stage data prior to moving it into the warehouse versus directly loading it. This is a must read for those contemplating a data warehouse.
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...
We need to replace our Windows server running SQL 2017. Any reason not to...
Comments posted to this topic are about the item Using OPENJSON
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