A Fine Slice Of SQL Server
Gilbert Quevauvilliers performs some measurements:
Before using Fabric Capacity operation events, you need to have a Fabric capacity.
In my testing, Capacity Operation Events consumed approximately 230,000 CUs per day.
Based on my usage, an F4 capacity was required to run this continuously each day.
NOTE: This is based on my usage. Your consumption may be slightly higher or lower.
That’s a fair amount of capacity to track how much capacity you’re using.
Leave a CommentReitse Eskens debugs an issue:
This is a very common setup that usually works just fine.
Yet, I ran into something weird that I wanted to share with you. When I set up this copy job, I could reach the database, preview the data, and create the job. No issues. But when I started the actual data transfer, the job ran for two minutes and thirteen to sixteen seconds before throwing an error. On every table.
Click through for the error message, the cause of the error, and how to solve it.
Leave a CommentThomas Rushton whips out a story:
Anyway. Big Victorian mill-type building. First floor, document management, printing, post rooms, etc, going up. Second floor – erm… document processing? Finance? Third floor – IT, call center, network room, board room, lawyer-types. Fourth floor, just underneath that slate roof, held a smaller office full of debt recovery specialists, and the main server room.
What could possibly go wrong?
Leave a CommentSteve Jones talks about a tough week:
I was a relatively new hire, a former intern, at a large electrical utility in Virginia. I worked as a network admin at a nuclear power plant in Surrey, VA. I showed up at work on New Year’s Eve at 5:00pm. We were planning on deploying a new database server running SQL Server, along with a new application to track radiation exposure for workers. This was a mandated change to our tracking, which needed to go live at midnight. I was supposed to be a bystander, helping developers from our internal group implement the server and then take over administration for the future.
What could possibly go wrong?
Leave a CommentChristian Henrik Reich lays it out:
You might have heard countless times that AI needs high-quality and clean data to work properly. However, this is often not accompanied by an explanation of what it actually means. In this post, I will explain how you can achieve this in Microsoft Fabric.
I’ll explain the foundation for how you can prepare your data so your solution can answer business questions, either through reporting or AI.
Clean data alone is not enough. Data also needs to be structured, understandable, and accessible in a way that allows your solutions to answer business questions reliably.
The fancy buzzword that describes a lot of what Christian covers is “ontology” but I appreciate this more detailed description versus relying on a buzzword as a crutch.
Leave a CommentDeb Melkin deals with disaster:
One morning, the help desk support person came over and said this one client was having performance issues. This was one of the cases where we would just reboot. It was early and there would be plenty of time for everything to be back up and running before the system was needed. So I gave the go ahead to reboot the server.
This did not go well. Read on for the rest of the story.
Leave a CommentMarco Russo and Alberto Ferrari provide some advice:
DAX code is often short. Understanding the question that the code must answer may be much harder.
Consider a calculation that multiplies a quantity by a rate. The formula appears simple, yet it is correct only if the quantity and the rate are evaluated while the rate has a clear meaning. If you perform the calculation after combining different rates, DAX must aggregate the rates somehow: AVERAGE, MIN, or MAX can return a number. However, returning a number does not make that number meaningful.
Read the whole thing.
Leave a CommentAndy Yun has been a part of several outages over the years:
My very first job out of college, I worked at a small boutique internet consulting firm that did some hosting in our back office. We had a T1 line coming into our office, which was a space that was part of a strip mall actually. One summer morning, we’re at our desks doing our thing and “hey, I just lost Internet connection, anyone else?”
Click through for the conclusion of that story, as well as two other times everything went sideways. This might also be a good time to check your backups and make sure they’re working fine.
Leave a CommentA buddy of mine invited me to take a road trip and join him in Philadelphia, PA to take a tour of the USS New Jersey while she was in drydock for its required museum ship maintenance. Quite possibly a once in a lifetime opportunity – we wouldn’t be touring the inside of the ship, we would be walking around underneath her, on the floor of the drydock. I hit the road on Friday, and picked him up at the airport. We got dinner, unwound from our respective travels, and planned out the following day.
Click through to see what happened next.
Leave a CommentMala Mahadevan continues a series on vector search:
At this point, the consideration becomes – ‘What if the graph and all of its vectors don’t fit in memory?’
If every step of graph traversal had to wait for an arbitrary SSD read, the navigation could become painfully slow.
This is the plus and the minus of an index like HNSW. If you can fit everything into memory, it’s faster than DiskANN. Once you start paging in and out of disk, DiskANN becomes considerably faster.
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