Identify Tables With Dropped Columns
How easily can we find tables with dropped columns that need cleanup?
2024-06-07
2,042 reads
Data Storage
Long Term Storage
Long term data storage isn't something we always need for databases, but it is something the world needs. A new technology has promise for those use cases, both in durability and preserving the algorithms needed.
2022-06-24
323 reads
Do We Care About Disks?
I ran across a tip on MSSQLTips from Joe Gavin recently, and it got me thinking about hardware and disks. For a lot of us, we deal with servers and storage, and not disks. While we might have a disk on a laptop or desktop, most of the production systems just attach to remote storage. […]
2021-11-03
273 reads
Storage 101: Welcome to the Wonderful World of Storage
Understanding all the storage options available to...
2019-12-30
SQL Server Storage Internals 101
This article is an extract from the book Tribal SQL. In this article, Mark S. Rasmussen offers a concise introduction to the physical storage internals behind SQL Server databases. He doesn't dive into every detail, but provides a simple, clear picture of how SQL Server stores data.
2013-10-21
3,767 reads
Blogs
AI Step 1
By Vinay Thakur
As this is an Artificial Intelligence (AI) World, things are changing. We can see that...
Beginner’s Guide: Building a Dockerized Todo App with React, Chakra UI, and Rust for Backend
In a containerized app, React and Chakra UI provide a robust and accessible user...
A New Word: Nachlophobia
By Steve Jones
nachlophobia – n. the fear that your deepest connections with people are ultimately pretty...
Forums
Call dynamic sql storedprocedure from SSIS execute sql task
hi, I have a table called Rules Create table Rules ( Id int ,...
Migrating database with many orphan users.
I am currently upgrading a very old database running SQL Server 2008 to SQL...
Active and Active Cluster
Hi Team, I am planning to apply security updates for SQL Server 2016 on...
Question of the Day
The Funny SELECTs
What is returned from this query?
SELECT
( SELECT COUNT (*) FROM Sales.SalesOrderHeader AS soh
WHERE soh.OrderDate >= '01/01/2011' AND soh.OrderDate < '01/01/2012') AS OrdersIn2011
, ( SELECT COUNT (*) FROM Sales.SalesOrderHeader AS soh
WHERE soh.OrderDate >= '01/01/2012' AND soh.OrderDate < '01/01/2013') AS OrdersIn2012
, ( SELECT COUNT (*) FROM Sales.SalesOrderHeader AS soh
WHERE soh.OrderDate >= '01/01/2013' AND soh.OrderDate < '01/01/2014') AS OrdersIn2013; See possible answers