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Category: T-SQL Tuesday

Observations On Azure SQL Data Warehouse

Published 2016-09-15 by Kevin Feasel

Jeffrey Verheul is running this month’s T-SQL Tuesday.  Here is his contribution:

A thing that can make migrations to the cloud a bit more difficult, is that Azure SQL databases are basically a contained datastore (you would call it a “contained database” when you run it on-premise). This means that you (by default) can’t connect from one database to the other. This could mean that you need to rewrite your applications or stored procedures, or maybe even redesign your entire database/application/domain model.

This also means that running a stored procedure from the Ola Hallengren’s maintenance solution can only be done on the specific database, and not from the master database like the on-premise version does. These small challenges can be overcome, but it does mean code-duplication in your databases because the maintenance procedures need to be deployed to every single database.

Read on for more observations regarding Azure SQL Data Warehouse.

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Creating BACPAC Files

Published 2016-09-14 by Kevin Feasel

Kenneth Fisher needs a new BACPAC:

Why are we talking about it?

Well there are two reasons. First because I’m studying how to move databases from SQL Server to Azure SQL Database and back. My first blog on the subject was using the Deploy Database to Microsoft Azure SQL Database option to move a SQL Server database to Azure SQL Database.

Kenneth shows you how to do this through the UI as well as through SqlPackage.exe.

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Thinking About Azure SQL Database

Published 2016-09-14 by Kevin Feasel

Kevin Hill with an introductory-level discussion of Azure SQL Database:

Some basic terminology:

  • Cloud: No such thing.  It is just your stuff on someone else’s machines that they maintain for you.

  • Virtual Machine (VM): A Virtual Server on some physical servers…yours, or someone else’s.

  • Azure: Fancy name for Microsoft’s cloud. As a noun or an adverb it means “blue”.  Or a small butterfly.

  • Azure SQL database: Just a database in Azure on some storage

  • Azure Virtual Machine: A VM on Microsoft’s Azure servers, that you do not have to maintain the underlying physical infrastructure.

This is a nice, very high-level introduction to why Azure SQL Database exists.

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T-SQL Tuesday 081 Roundup

Published 2016-08-19 by Kevin Feasel

Jason Brimhall has a roundup of T-SQL Tuesday #081:

One of the tricks to becoming and staying a top tier data talent or professional is a perpetual cycle to learn, adapt, change, and evolve. We must be in a continual cycle of self evaluation and self modification. Let’s call this by something else – we must be agile. There I said the five letter word. Think about it in broad strokes with your career – it is a development process with perpetual evaluation, review and tweaks.

Now think about the invite and see how that fits with what I just said or with the, cough cough, agile flow. You start (albeit very basically) with a need for enhancement, then you plan which pieces of the enhancement you can accomplish, you then do the work (whether successful or not), then after you deliver the work you conclude with a retrospective (what went well and what needs to change). Yes! I do feel rather dirty for sneaking this on everybody like this. That said, when you think about the model and apply it in broad strokes to your career path – it has merit.

Read on to see who participated this month and Jason’s thoughts.

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Temporal Database Theory

Published 2016-08-15 by Kevin Feasel

Kennie Pontoppidan reads and reviews a book on temporal database theory:

I have chosen to blog about Richard T. Snodgrass’ book “Developing time-oriented database applications in SQL.” I heard about this book last year around this time, when I started to investigate the new temporal feature “System versioned tables” in SQL Server 2016. I believe it was my old colleague Peter Gram from Miracle who pointed out the book to me, and usually when Peter recommends a book, I buy it and (eventually) read it. It was also about time (no pun intended), since I’m giving a talk on “All things time-related” for two SQL Saturdays during the next few months, and I needed to spice up the presentation with some new material.

In this blog post, I will quickly scratch down a few of the takeaways, I have taken from the book already.

Sounds like an interesting read.

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Extended Events Audit

Published 2016-08-11 by Kevin Feasel

Steve Jones creates an audit with Extended Events:

The third part of the invitation was to write this. I covered what I did, and some of what I learned. I’ll add a bit more here.

I certainly was clumsy working with XE, and despite working my way through the course, I realize I have a lot of learning to do in order to become more familiar with how to use XE. While I got a basic session going, depending on when I started it and what I was experimenting with, I sometimes found myself with events that never went away, such as a commit or rollback with no corresponding opening transaction.

This T-SQL Tuesday was a bit broader in scope, so it has been interesting watching people respond.

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Compression Delay

Published 2016-08-09 by Kevin Feasel

Rob Farley digs into Compression Delay as part of real-time operational analytics:

The thing with Operational Analytics is that the analytical data, reporting data, warehouse-style data, is essentially the same data as the transactional data. Now, it doesn’t look quite the same, because it’s not been turned into a star-schema, or have slowly changing dimension considerations, but for the purposes of seeing what’s going on, it’s data that’s capable of handling aggregations over large amounts of data. It’s columnstore.

Now, columnstore data isn’t particularly suited to transactional data. Finding an individual row within columnstore data can be tricky, and it’s much more suited to rowstore. So when data is being manipulated quite a lot, it’s not necessarily that good to be using columnstore. Rowstore is simply better for this.

But with SQL 2016, we get updateable non-clustered columnstore indexes. Data which is a copy of the underlying table (non-clustered data is a copy – clustered data or heap data is the underlying table). This alone presents a useful opportunity, as we can be maintaining a columnstore copy of the data for analytics, while handling individual row updates in the rowstore.

Read the whole thing.

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T-SQL Tuesday Roundup

Published 2016-07-21 by Kevin Feasel

Chris Yates provides a round-up for the latest T-SQL Tuesday:

The roundup is finally here, and cheers to all of you who participated. We had a great turnout this month with many returning participants along with some newcomers.

We had a wide range of topics with many great insights from everyone, but don’t take my word for it. Check out the links below and see what your colleagues from around the SQL Community had to say:

Click through for the links.

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Desired Enhancements

Published 2016-07-14 by Kevin Feasel

Jason Brimhall has a list of some nice SQL Server updates and bug fixes, followed by some things he’d like to see:

Digging a little deeper on this one. I would really love to see an enhancement to Resource Governor. Not just any enhancement will do. I need it to be enhanced so it will also affect the reporting services engine and the integration services engine in addition to the database engine. I want to be able to use RG to prevent certain reports from over consuming resources within the SSRS engine. Or for that matter, I want to make sure certain SSIS packages do not consume too much memory. If I can implement constraints on resources for these two engines it would be a huge improvement.

Check it out.

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Changing AG Endpoint Ports

Published 2016-07-13 by Kevin Feasel

Matt Gordon walks through changing endpoint ports:

Since a communication failure within an AG is usually a “hair on fire” kind of event, a quick fix may be desired. The quickest fix I’ve found is to change the port on which the AG endpoint is listening. While the Microsoft help pages on this contain enough information to put together the right script eventually, the first time this happened to me I really would have liked a blog post specific to this issue that gave me the right script to use.

In keeping with this T-SQL Tuesday’s theme, below is my SQL Server present. Please note that I used 5023 as an example but your choice can be flexible depending on what else is consuming ports on your machine. Hopefully this helps somebody (or me if I manage to travel back in time and encounter this same issue)

In an ideal world, you’d want a bit more control over what’s running on various ports to prevent this scenario, but that’s probably wishful thinking.

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