Redgate is giving you the chance to win your choice of DevOps books and Redgate goodies in their latest competition. To enter, visit the Redgate Forums and answer the question: ‘How is SQL Change Automation helping you?’
2021-05-17
Why has Microsoft added new capabilities in SQL Server to connect to other types of data sources? Read on to learn more.
2021-05-14 (first published: 2019-09-09)
10,594 reads
This tip will teach you when and how you can use CASE in T-SQL statements with several code examples to give you a better understanding.
2021-05-14
You’ve submitted thousands of bug reports and feature requests at feedback.azure.com. Brent Ozar goes through what you’ve voted as the top 10 requests right now.
2021-05-14
Azure Logic Apps can be used to automate steps like sending approval emails. Elie Bou Issa explains automating Azure DevOps with Logic Apps.
2021-05-12
Take the 2021 State of Database Monitoring survey and tell us about how you monitor your databases, instances and servers. By taking the survey, you’ll contribute to (and get early access to) the leading industry-wide report on database monitoring, and be entered to a prize draw for a $500 Amazon gift card.
2021-05-12
Introduction Every DML transaction reads the data before it makes any changes. Not only during a SELECT query, but when you run any DML statement, insert, update, or delete, SQL Server first fetches a bunch of pages into the buffer pool locating the desired rows and changes them while synchronously writing to the transaction log […]
2021-05-10
8,400 reads
How to extend the range of SQL code analysis, during database development, to include dynamic analysis of the database metadata. This will allow regular checks for problems with the design of your tables and indexes ("table smells") that can affect database performance and data integrity.
2021-05-10
In this tip we look at the Sequence Number feature in SQL Server and compare it to the use of identity columns.
2021-05-10
As SQL developers, we tend to think of performance tuning in terms of crafting the best table indices, avoiding scalar and table valued functions, and analyzing query plans (among other things). But sometimes going back to the spec and applying some properties of elementary math can be the best way to begin to improve performance of SQL queries which implement mathematical formulas. This article is a case study of how I used this technique to optimize my SQL implementation of the Inverse Simpson Index.
2021-05-07 (first published: 2019-09-12)
5,397 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