We soon learn, in SQL Server, that heaps are a bad thing, without necessarily understanding how or why. Jonathan Lewis is an Oracle expert who doesn't like to take such strictures for granted, especially when they don't apply to Oracle. Jonathan discovers much about how SQL Server places data, and concludes from his experiments that heaps perform badly in SQL Server because you cannot specify a fill factor for them.
2010-07-23
3,312 reads
How can I receive notifications when the policies I have implemented have been violated so I don't have to manually look at each server?
2010-07-22
2,954 reads
Using SqlTypes can have a significant impact on the performance of your SQL CLR implementations. Is it for the better? Read this article to find out.
2010-07-21
8,091 reads
Inspired to streamline the process of gathering and storing data from Performance Monitor Counters, SQL Server MVP Laerte Junior guides us through the functions of his remarkably useful module.
2010-07-21
3,220 reads
When reloading or attaching a SQL 2000 database to SQL 2005 or 2008, the database objects are upgraded automatically. Some database options don't change, though. PAGE_VERIFY is one of them.
2010-07-20
7,212 reads
A number of hierarchies and networks are most conveniently modelled as binary trees. So what is the best way of representing them in SQL? Joe Celko discards the Nested Set solution in favour of surprisingly efficient solution based on the Binary Heap
2010-07-20
4,764 reads
How to set all tempdb datafiles to same size to meet best practice.
2010-07-19
15,951 reads
Shared Datasets are one of the features introduced in SQL Server 2008 R2. This article demonstrates how to implement Shared Datasets as well their use-case scenarios.
2010-07-19
4,132 reads
What does ANSI_PADDING mean and how does it affect my SQL Server database?
2010-07-17 (first published: 2008-09-12)
25,387 reads
The capability of extending the limits of combining multiple node hierarchical structures has not been fully explored. Michael M. David presents a solution to advanced structure combining that is simple to use, generic and freely extends the way hierarchical structures can be semantically combined to produce advanced new hierarchical data structure mashups that dynamically increase the value of the data.
2010-07-16
3,196 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