Additional Articles


External Article

T-SQL Window Function Speed Phreakery: The FIFO Stock Inventory Problem

Sometimes, in the quest for raw SQL performance, you are forced to sacrifice legibility and maintainability of your code, unless you then document your code lavishly. Phil Factor's SQL Speed Phreak challenge produced some memorable code, but can SQL features introduced since then help to produce code that performs as well and is also easy to understand? Kathi Kellenberger investigates.

2016-04-15

5,825 reads

Technical Article

What is Code Coverage For?

Code coverage is a practice that goes hand in hand with automated testing, reporting the percentage of your code that has been exercised during a test run. Ed Elliott and Redgate have partnered to make a code coverage tool available for SQL Server, both free and open source. SQL Cover measures the coverage of your SQL Server stored procedures and functions. It has built-in support for the popular tSQLt unit testing framework, but can also be used alongside any automated testing framework of your choosing. Find out more in this blog post.

You rated this post out of 5. Change rating

2016-04-14

4,457 reads

External Article

The Comeback of Migrations-Based Deployments

With database deployments, not all script-based processes are equal. Some use change scripts in a free-and-easy way, and some, which are normally called ‘migrations-based approaches’, have more discipline around them. In this article, Redgate Product Manager Elizabeth Ayer covers ‘migrations’, and shows some of the benefits that have come with new tooling which is specifically designed to assist the change script processes.

2016-04-08

3,078 reads

External Article

Exploring SQL Server 2016 Dynamic Data Masking – Part Two - Masking and Exporting Data in Existing Tables

Dynamic Data Masking allows you to obscure your confidential data column values at the database engine level for both new and existing SQL Server data. Being able to alter the definition of an existing column to add a masking rule makes it very simple to obscure your existing column values without even changing your application code.

2016-04-07

4,873 reads

Blogs

The First Steps: Understanding the Basics of FinOps

By

As a DevOps professional, I’ve seen firsthand how cloud costs can quickly spiral out...

Monday Monitor Tips: AI Query Analysis

By

AI is everywhere. It’s in the news, it’s being added to every product, management...

AI: Blog a Day – Day 8: RAG – Retrieval Augmented Generation

By

RAG — Retrieval Augmented Generation. we have covered so far — embeddings, vectors, vector...

Read the latest Blogs

Forums

would it be so terrible to install ssms on a few user desktops?

By stan

Hi, ssms is free here.   I can think of other reasons to do this...

I'm thinking about submitting some articles

By Doctor Who 2

I've written some documentation on using different Markdown types of files on GitHub. It's...

Not Just an Upgrade

By Steve Jones - SSC Editor

Comments posted to this topic are about the item Not Just an Upgrade

Visit the forum

Question of the Day

Restoring On Top I

I am doing development work on a database and want to keep a backup so I can reset my database. I make some changes and want to restore over top of my changes. When I run this code, what happens?

USE Master
BACKUP DATABASE DNRTest TO DISK = 'dnrtest.bak'
GO

USE DNRTest
GO
CREATE TABLE MyTest(myid INT)
GO
USE master
RESTORE DATABASE DNRTest FROM DISK = 'dnrtest.bak' WITH REPLACE

See possible answers