T-SQL Tuesday #173 – Has AI Helped You with Your SQL Server Job?

Invitation from Pinal Dave.

Hello, SQL Server enthusiasts! It’s time for another exciting edition of T-SQL Tuesday, and I’m thrilled to be your host for this month’s episode – Has AI Helped You with Your SQL Server Job?

As database professionals, we’re always looking for ways to improve our efficiency and effectiveness in our daily tasks. With the rapid advancements in artificial intelligence (AI) and machine learning (ML), many of us have started exploring how these technologies can assist us in our SQL Server jobs.

Your task for this month: write a blog post about how AI has helped you in your role as a SQL Server professional, and schedule it for next Tuesday, April 9.

Here are some ideas to get you started:

  • Have you used AI-powered tools to optimize your SQL queries? Share your experience and the results you achieved.
  • Has AI assisted you in detecting and resolving performance issues in your SQL Server environment? Tell us about the tools you used and the insights you gained.
  • Have you leveraged AI to improve your database design or data modeling processes? Discuss the techniques you employed and the benefits you observed.
  • Has AI helped you automate routine tasks, such as index maintenance or backup management? Share your automation journey and the time savings you achieved.

Remember, the goal is to share your personal experience and insights on how AI has impacted your work as an SQL Server professional. Don’t worry if you haven’t had a groundbreaking AI project; even small improvements and efficiency gains are worth celebrating and sharing with the community.

T-SQL Tuesday #172: Hekaton FTW (For the Win)!!!

Invitation from Todd Kleinhans.

First off, what in the world is Hekaton?

Hekaton was the internal project name within Microsoft to implement in-memory tables (IMOLTP) both with and without persisting data to disk (more on that aspect later); it was designed with a completely latch-free and lock-free data structure based on timing. Short version- if implement correctly and properly, it would give fantastic performance if used properly and correctly.

From what I have gathered over the years, it was announced with great fanfare and I even have a signed copy from Kalen Delaney of her book on the subject!

Enter Stage Left – Sad Trombone

So if this shiny new and awesome hammer was built and introduced, why didn’t it take off like wildfire? I was incredibly hopeful for a variety of reasons that will come out shortly but sadly disappointed- but then like a phoenix rising from the ashes, it once again has relevance in my daily life as a SQL Server DBA at my current employer. Slowly but surely, starting off with tempdb metadata performance using IMOLTP this is about to become an intense ride.

Are You Using Hekaton? How is it working?

I realize Hekaton is an edge-case scenario for many and yet those who need it have been waiting for several years for it to be fully implemented, regression tested, and be able to sell this awesome capability to upper management with zero to little risk.

Your Mission- Make the Case for Hekaton

How are you using Hekaton? Hits, misses, etc. – What went well and what went poorly?

Please let the community know so that we can learn from each other and have the strength and encouragement to make things better than when we inherited it.

At my current employer we are about to test and implement tempdb metadata using IMOLTP. I have future plans for using Hekaton inside of containers on a customer by customer basis in addition to some other GPU go-fast magic. More to come…

T-SQL Tuesday #171 – Describe the Most Recent Issue You Closed

Invitation and roundup from Brent Ozar.

Your readers wonder what kinds of jobs are out there in the database world, what exactly it is that you do, and what your daily grind is like. While it’d be cool to cover all of that, let’s start with something simple.

Your mission for this week: write a blog post about the last ticket you closed, and schedule it for next Tuesday, February 13.

It doesn’t have to be T-SQL. T-SQL Tuesday has evolved to cover all kinds of data topics.

The task/issue doesn’t have to be indicative of your overall career. Our database jobs cause us to do all kinds of oddball things through the day. Go into your ticket system, help desk system, list of Github issues, or task list right now, look at the last task you checked off, and blog about that.

Don’t include company specifics or anything that might get you in trouble. Just talk in general terms about:

  • Why the task was created (an error popped up, a user had a problem, your boss had an idea, whatever)
  • General terms about work you had, what online resources you found helpful, how long it took
  • How often that kind of task pops up in your queue

T-SQL Tuesday #170 – Learning from Abandoned Projects

Invitation and write up from Reitse Eskens

appy new year to all of you avid bloggers! I hope most of you had a great time during the past weeks, though most of you have seen the sad news of the loss of an excellent member of the Sql Family. Let’s keep Leila in our minds and send strength to Reza.

I was having a nice chat with Steve last year on possible subjects for this fun monthly blog event. And my initial inspiration was “what have you learned from abandoned SQL projects”. Yes, let’s kick off the year on a happy subject, talk about failures.
But wait, you should look on this one in a positive way, like Buck Woody (T) does

We all learn by doing stuff, but we learn most by ‘failing’, working on things that are less than optimal. If you have the time to look back on projects, to review them, you usually see where things went wrong. I think that most of us have been in projects like that and have learned from that.

Let me give you an example. A few years ago we started a project where we had to use an Azure Sql database as the target database. Sources were on-premises and with some magic wizardry, the data landed in the Azure database. But the performance was less than expected. Because deadlines we had to rush through a number of options and ended up with a database we had to reconfigure a number of times after the project finished. When we did the review, this was a bit of a sore point because I felt (and feel) responsible for this part.
During the review, I decided to dig into the different tiers and sku’s of Azure Sql databases and find out their differences in behaviour. This lead to a series of blog posts (that have to be revised as a lot of things changed since writing them). But the key is, I can now give a better advice and reduce the number of reconfigurations.

Now, I could go on, but the main intent of this blog is to trigger your stories; what projects did you abandon but learn a lot from OR what’s your favourite learning from a failure.

As it’s january, I’ll give you some slack on the subject and how much you digress.

T-SQL Tuesday #169 – Thank You

Invitation from Kay Sauter

T-SQL Tuesday No. 169 – December 2023 I’ve got the honor to invite you to the blog party SQLTuesday, tagged as #tsql2sday, for this December 2023. Many thanks to Steve Jones (blogtwitter) for letting me host this month’s blog party!

December is the last month of a year. I believe December is the season of being thankful, or at least looking back. I also believe that we generally do not say “thank you” enough to people. So I invite and encourage you to say thank you to anyone who helped you:

  • Work colleagues or employers
  • Mentors
  • Friends
  • Family

Your post does not have to be personal, it can also be just a story you anonymize people so that the reader who it actually matters, will know that you appreciate them. If you even can incorporate some code, please do! Happy blogging and happy SQLTuesday! Please publish your blog article on December 12 2023.

T-SQL Tuesday #168 – Mature Window Functions

Invitation and roundup from Steve Jones.

We’ve had window functions in SQL Server for a decade now, since SQL Server 2012.

This month I’m asking you to write on how window functions have made your life easier. A few ideas for you:

  • What problems have you solved with a window function? Bonus points for lead/lag/first_value/last_value
  • Have you used the SQL Server 2022 enhancements in any queries?
  • How has performance improved for you with a window function
  • Draw a picture of a window with a spatial function – more extra points

Give us some specifics, with real world problems. Obfuscate the data, at least if you have my name in your dev system, but help others understand how they might solve a complex aggregate using a Window function. The more specific examples, the more others might get help from one of the posts.

T-SQL Tuesday #167 – Encryption and Data Protection

Invitation and roundup from Matthew McGiffen.

For those of you who don’t know, T-SQL Tuesday is a monthly blog party where pople are invited to blog on a chosen subject related to SQL Server. You’re invited to join in whether you’re an experienced blogger, or have never blogged before. It’s a nice way to get started writing with a ready audience who’ll view your post.

Any of you who know me will know I have a keen interest in SQL Server Encryption and Data Protection so that’s the topic for this month’s blog party.

Any contributions relating to that topic are most welcome, and treat it as you see fit. Maybe you have a technical detail or discovery you want to share. Maybe you have a useful “how to”. Equally welcome are stories about encryption gone wrong – or incidents where data wasn’t protected sufficiently, and bad things happened. Or stories with a happy ending. It’s a deliberately wide topic, and I’d love a wide variety of contributions.

T-SQL Tuesday #166 – Why Not Extended Events?

Invitation from Grant Fritchey.

With 165 T-SQL Tuesday events, two, just two, this one, T-SQL Tuesday #166, and another one back in 2018 or 2019 (I forget and I’m far too lazy to go look) have been on Extended Events.

At conferences I’m frequently the only one doing sessions on Extended Events (although, sometimes, Erin Stellato is there, presenting a better session than mine). I did a session at SQL Konferenz in Germany earlier this week on Extended Events. Hanging out in the hallway at the event (which was great by the way), I was talking with some consultants. Here’s their paraphrased (probably badly) story:

“I was working with an organization just a few weeks back. They found that Trace was truncating the text on some queries they were trying to track. I asked them if they had tried using Extended Events. They responded: What’s that? After explaining it to them, they went away for an hour or so and came back to me saying that had fixed the problem.”

We all smiled and chuckled. But then it struck me. This wasn’t a case of someone who simply had a lot more experience and understanding of Profiler/Trace, so they preferred to use it. They had literally never heard of Extended Events.


Search Engines

I did a search on BingGoogle and DuckDuckGo. The results were instructive.

The top result on Bing was to a 14 year old StackOverFlow post. To say the least, yeah, it’s not showing anyone how to use Extended Events. It talks about DMVs in addition to Trace/Profiler.

The top result in Google was a site I’ve never even heard of before, It talked about DMVs, and nothing else. I couldn’t find a publish date on the article, but since it didn’t talk about sys.dm_exec_procedure_stats, but only talked about query_stats, either the person writing it was ignorant of more recent DMVs (and, let’s be clear, saying that procedure_stats is recent is s stretch), or this is a very old article indeed.

The top result in DuckDuckGo was a post on SQLShack written in 2017 using examples from SQL Server 2016. The tools used were, kind of oddly, Activity Monitor within SSMS and Query Store. No mention of Profiler/Trace, Extended Events, or even DMVs. The second result was the 14 year old Stack overflow post.

If you were looking to identify a long running query, you might be lead to believe the consensus is that the only tool to use is DMVs.

The Whole First Page

The common wisdom is that people never go beyond the first page of search results (I’ve no idea if this is true). So, what’s on the first page?

Well, Bing had eleven results that weren’t ads when I ran the query linked above. It wasn’t until links 7 and 8 that Extended Events are mentioned. Further, links 7 & 8 were the same article, just published in two different places with a few edits between them. Four of the links were to Microsoft and NONE (zero, 0, zip, nicht) of those mentioned Extended Events, although they did talk about DMVs. Of the top 10, most of the links were old. Many 10 years or more. The two links, 7 & 8, were the only ones to mention Extended Events.

With Google I saw 10 non-sponsored links on the first page. Many of them were duplicates of the links in Bing, just in a different order. Link 4 was to the same article I found in Bing. Link 5 was to a new source that did had Extended Events as the #1 tool for gathering query performance metrics. There was only one Microsoft link, duplicated from Bing, and it didn’t list Extended Events. Just like with Bing, most of the links were old. Many of the links from Google were older than the ones from Bing.

DuckDuckGo was just a little better. The 3rd and 4th slots had two different articles talking about Extended Events with the 3rd slot being the same article from both Bing and Google and the 4th slot being a new one. Three of the slots were Microsoft and again, no mention of Extended Events. And, once more, many of the links are minimum 7 or 8 years old, but some being 13 or 14 years old.


We can have a lot of discussion about the technical aspects of Extended Events. We can also talk about whether or not you should, or shouldn’t use Extended Events. The simple fact of the matter is, there’s a good chance that people aren’t using Extended Events, not because they’re problematic, hard, contain XML, muscle memory, or any of the other issues that I, and others, bring up, but instead, because they simply don’t know that they exist.

So, if you are #TeamXE, not only do we have to overcome years of bad information and indifference due to a poor launch (2008 XE just wasn’t good, let’s be honest), but the fact that the way search engines work, Extended Events may be hidden from many people.

T-SQL Tuesday #165: What Do All The Database Job Titles Actually Mean?

Invitation and roundup from Josephine Bush

Earlier this year, when I was looking for a new job, I realized that there are a lot of conceptions about what different database jobs do. I was perplexed about what should be part of what job. These job titles could include other job title tasks, depending on what a company wants. The more I Googled what each of the job titles would include, the more it seemed there was no real standard for what each job title does. For example, if a company doesn’t have dedicated DBAs, that job function is lumped into another job title. You might be doing all of them at many companies because you are the db person, period.

My Conceptions or Misconceptions

Here’s what each job title means to me, whether accurate or not:

  • DBA – This is backups, restores, HA, DR, index maintenance, integrity checks, patching, upgrade, and maybe some performance tuning definitely at the server level, maybe at the query level
  • Database engineer – This is more coding and getting into the meat and bones of db design. This could also include building data pipelines. Also, it would include more query tuning.
  • Database reliability engineer – This is more DevOps-y than DBA, so it’s more about automation and creating CI/CD processes.
  • Database architect – This is designing database systems, such as architecting the infrastructure and making diagrams.
  • Data architect – This is intimately knowing the data inside and out and maybe designing data flows.
  • Data warehouse architect – This is a separate domain because DW OLAP differs greatly from DBA OLTP work. I don’t put this with DBRE or DE because it’s its own domain.
  • Data warehouse engineer – Is this a thing? Or is that lumped into a database engineer job title? But again, as I said with database architect vs. data warehouse architect, data warehouse engineer could be separate from database engineer.
  • Data scientist – This is modeling/predicting with datasets.

Kendra did an amazing post covering some of this last week. It was like she was reading my mind because I was preparing this post as she published hers! I hit her up about her post, and she suggested including data scientists in my post.

If you have other database job titles you want to include, please feel free. I thought up whatever I could based on what I saw or thought should be there. I’m excited to see what you all think!

T-SQL Tuesday #164: Code That Made You Feel A Way

Invitation and roundup from Erik Darling.

This month’s topic challenges you to think back to the last time you saw code that made you feel a thing. Hopefully a positive thing.

I’m not a thesaurus, so the list isn’t exhaustive, but think along the lines of: surprise, awe, inspiration, excitement.

Or maybe it was just code that sort of sunk its teeth into you and made you want to learn a whole lot more.

This won’t be my submission, but I think a great example is a piece of query tuning magic by Paul White. It was one of the first articles I ever read as a young SQL Developer.

It was one of many lightbulb moments (and, crap, I should have said lightbulb moment up there when I was telling you what kind of code I want you to think about) that I’ve had in my career.

The only rule I have is (outside of the normal T-SQL Tuesday rules) is that it can’t be your own code.

It should also probably be code that you won’t get sued for showing or talking about. Please be diligent in abiding by copyrights.

Other than that, it’s the normal pack of rabbits: submissions have to be posted next Tuesday, the 11th of July.