Who was that Affinity Masked Man?
Getting the number of processor cores that SQL Server is using is not as straitforward as it could be. Enter the affinity mask, bitwise operations and good old fashioned computer science.
2008-10-17
4,029 reads
Getting the number of processor cores that SQL Server is using is not as straitforward as it could be. Enter the affinity mask, bitwise operations and good old fashioned computer science.
2008-10-17
4,029 reads
The loss of data is getting ridiculous. Steve Jones wants companies and government to do something about it.
2008-10-17
782 reads
The loss of data is getting ridiculous. Steve Jones wants companies and government to do something about it.
2008-10-17
516 reads
This paper introduces the new performance and manageability features for data warehousing across all these components. All these features contribute to improved scalability.
2008-10-17
2,632 reads
Part 1 of this series discussed how to prepare for SQL Server cluster installation on a two-node Windows Server 2003 cluster. This installment explains how to install SQL Server Database Engine on the cluster using the Integrated Installation option.
2008-10-17
2,079 reads
2008-10-17
4,719 reads
Integration Services contains a tremendous number of ways to transform and work with data. MVP Brian Knight dives into the Row Count transform in this edition of SQL School. This shows how you can monitor the number of rows in a transform.
2008-10-16
3,464 reads
Data warehouses aren't just exploding in size, they're also supporting more users and increasingly complex queries, all in shorter time frames. Here's how to make sure yours is ready to scale.
2008-10-16
2,707 reads
SQL Server consolidation benefits are high availability and lower licensing costs. Here's what to expect for hardware needs, system monitoring and SQL licensing.
2008-10-16
2,737 reads
With the economy slowing the the world facing a financial crisis, Steve Jones polls the man on the street this Friday.
2008-10-16
63 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