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Curated SQL Posts

NTILE and QUALIFY in Snowflake

Kevin Wilkie continues to build a sample:

In our last post, we went over one way to get a sample of data. In the end was it right? Heck, no – at least not if we wanted a percentage of rows returned. Now, SAMPLE does work fine if you want a specific number of random rows returned each time.

But, let’s face it – sometimes we will be asked for 10% of a table – especially in this world of Machine Learning. So let’s attempt to find a way to make this happen, shall we?

QUALIFY would be a nice clause to have. Instead, if you’re in the T-SQL world, you’re probably used to creating a common table expression or subquery and then applying a WHERE clause to the outputs of that CTE/subquery.

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Publish to Power BI Environments via ADO

Richard Swinbank deploys a report:

In the first post in this series, I built an Azure DevOps pipeline to automate steps in a Power BI development workflow. The pipeline implemented a very basic workflow – as soon as a developer committed a new report version to Git, the pipeline deployed it immediately into a Power BI workspace.

In this post I’ll be building a pipeline to support a more sophisticated workflow that enables peer review and stakeholder testing.

Click through for the step-by-step process.

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A Summary of Full-Text Search in SQL Server

Paul Hernandez gives us a primer on full-text search in SQL Server:

Sometimes you want to perform a search using one or more keywords over one or multiple character columns in a table. Clustered, nonclustered or column stored indexes (organized in a B-Tree structure) will help you with such a task. You can of course use the LIKE operator and do wildcard text searches, but this is still inefficient. Full-text search in SQL Server and Azure SQL lets you perform full-text queries against character based-data in your tables.

Read on to learn more about the topic. I’ve used full-text search with some success once, and my failed attempts count (in that, I tried to use FTS but it wasn’t a good use case and it didn’t work) is a little bit higher. The biggest thing I found was that it struggled with very large numbers of rows–I had tried examples with 50-100 million rows and the index never finished building.

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Performance Overhead of TDE

Matthew McGiffen answers an age-old question:

Microsoft states that enabling TDE usually has a performance overhead of 2–4%. That doesn’t sound like very much, and personally I wouldn’t let it bother me if I want to make sure my data is encrypted at rest. However, you may have heard other sources saying that it’s actually a lot more than that – and the performance impact is a high price to pay for the level of protection offered. So, what’s the truth?

It turns out the answer is a bit more complex than simply saying “x%,” though as a first approximation, I’d still say that the 2-4% is a good starting point. For what would move you off of that 2-4%, read the whole thing.

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Choosing from a List of Values

Greg Dodd doesn’t need no steenkin’ tables:

Sometimes you have a list of values or parameters that you’d like to run a select statement over the top of to get a result. There’s a few ways of doing this, usually I see people create a Temporary Table and insert the data. But is there an easier way?

Yes, we can select from VALUES:

The result of this is called a virtual table, and as far as other parts of the query are concerned, it’s just another table.

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Working with .NET Polyglot Notebooks

Matt Eland installs Polyglot notebooks in VSCode:

Polyglot Notebooks is a powerful new interactive notebook technology that lets you run experiments in your editor, mix together code and rich documentation, and write code in a variety of languages to accomplish your tasks.

This article will guide you through the setup process to get Polyglot Notebooks running on your machine so you can do local data science and analytics notebooks using dotnet.

In case you’re curious, my installation has the ability to create notebooks in F#, C#, HTML, JavaScript, KQL, Markdown, Mermaid, Powershell, and SQL. I’m not positive how many of those come with the extension itself and how many are additional kernels I got from installing other extensions.

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Connecting Power BI to ADX via Private Endpoint

Dany Hoter keeps it all on the Azure backbone:

The PBI developer creating datasets and reports need to connect to the ADX cluster using Power BI desktop.

To establish such a connection, the user’s IP address should be allowed access to the private end point.

The access should be tested using Kusto Web explorer (KWE) to make sure that the cluster can be reached.

If KWE can connect , Power BI desktop should also connect successfully and a report using the cluster in Direct Query or import can be created.

That’s the goal, and Dany shows us the way to do it.

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The Value of PostgreSQL in Azure

Grant Fritchey does some explaining:

I’ve had people come up to me and say “PostgreSQL is open source and therefore license free. Why on earth would I put PostgreSQL in Azure?”

Honestly, I think that’s a very fair question. The shortest possible answer is, of course, you don’t have to. You can host your own PostgreSQL instances on local hardware, or build out VMs in Azure and put PostgreSQL out there, some other VM host, or maybe in Kubernetes containers, I mean, yeah, you have tons of options. So why PostgreSQL in Azure, and specifically, I mean the Platform as a Service offering? Let’s talk about it.

The biggest issue I’ve historically had with PostgreSQL or MySQL platform-as-a-service offerings in Azure is that Microsoft is always behind the release curve. With PostgreSQL, it’s not so bad—flexible server offers version 14.7, which is one major version behind Postgres itself (15) but at least the latest minor version. They’ve caught up on MySQL, but for a while, they were way behind.

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Building an About Topic Help File in Powershell

Robert Cain teaches us about teaching others about something:

In my previous post, Fun With PowerShell – Authoring Help, I covered how to author comment based help for your functions.

In addition to help for your functions, it’s also possible to write about_ help. PowerShell itself contains many about topics for PowerShell itself.

These about topics are designed to provide further information for your users, information that may not fit into the confines of a functions help. These texts can be as long as you need.

I will say that the Powershell team nailed it with the way they implemented help.

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