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Author: Kevin Feasel

Find and Modify File Growth Settings Across Databases

Published 2020-10-01 by Kevin Feasel

Lori Brown has a challenge:

To some of you out there, that many databases might not be a big deal.  To me, it is a big deal.  That many databases can cause many admin tasks to take a very long time.  One such task is to review all databases to make sure that they are not growing their files by 1MB or 10 Percent, especially the transaction log files.  I find those default settings to not be a good thing generally, and have learned to set files to grow by specified amounts if auto growth needs to occur.  I also try to manually grow data files during maintenance periods but we all know that auto growth happens.

So…how do we find out if our databases have 1MB or 10 Percent file growth set up?

Click through for a script which finds default-sized databases, as well as a script to fix them.

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Learn Powershell with PSKoans

Published 2020-10-01 by Kevin Feasel

Mikey Bronowski shows off PSKoans:

Recently I have got a question about resources to learn PowerShell. There is plenty out there in the wild, but I came across an interesting module I would like to write today – PSKoans.

I’m a big fan of the koan strategy of learning. It ramps you up slowly and gives you plenty of code to help understand syntax and flow. The F# koans are fantastic, as are Python’s.

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Understanding MERGE Execution Plans

Published 2020-10-01 by Kevin Feasel

Hugo Kornelis walks us through the most interesting operator:

But first a word of warning. The MERGE statement, introduced in SQL Server 2008 as an easier alternative for “delete / update / insert” logic, turned out to have issues when it was released. And now, in 2020, many of those issues still exist. So I’ll just point you to Aaron Bertrand’s excellent overview, and leave you with the recommendation to be extremely wary before using MERGE in production code.

But here, we are not going to use MERGE in production. We are merely going to set up a simple test and look at how the elements in the execution plan cooperate to produce the expected results. This is interesting even if you never use MERGE, because many of the details explained below can also occur in other execution plans.

Read the whole thing, even if you avoid MERGE like the plague.

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The SQL Server and Containers Guide

Published 2020-10-01 by Kevin Feasel

Andrew Pruski has a guide:

I’ve been blogging about running SQL Server in Docker containers for a while now and, to be honest, my blogs are scattered over a few years and some need to be archived as they’re out of date.

So what I wanted to do was have one place where I could collate all the blogs I’ve written about running SQL Server in a container. This would make it easy for people to access information and make it easy for me to keep it all up-to-date as well.

So introducing, The SQL Server and Containers Guide!

Go check it out.

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How SQL Server Stores sql_variant Data

Published 2020-10-01 by Kevin Feasel

Randolph West answers one of the mysteries in life:

By a show of hands, who uses the sql_variant data type? In my experience the answer is “no one,” and that’s not necessarily a bad thing. There’s a general philosophy in our industry where we assume that columns are a specific data type. This predictability makes writing queries and applications against those columns easier. It’s difficult enough dealing with NULL values, so adding confusion with handling data conversions is an invitation to introduce bugs.

The sql_variant data type is a bit of a relic. I think the people who used that were also big variant data type users in Visual Basic. Nonetheless, Randolph clarifies how SQL Server stores this data.

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PolyBase and Availability Groups

Published 2020-09-30 by Kevin Feasel

Rajendra Gupta has a detailed article on working with PolyBase in an Availability Group:

In this 28th article for SQL Server Always On Availability Group series, we explore the high-availability for the SQL Server PolyBase(SSB) external tables using AG groups.

There’s a lot of detail in the article and it’s worth reading in conjunction with Nathan Schoenack’s post. Someday I’ll get to the blog post on my backlog around PolyBase and AGs, especially with scale-out clusters. Someday.

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Recursive Metadata Discovery in Azure Data Factory

Published 2020-09-30 by Kevin Feasel

Richard Swinbank gives us one method to perform recursive metadata discovery in Azure Data Factory:

Azure Data Factory’s Get Metadata activity returns metadata properties for a specified dataset. In the case of a blob storage or data lake folder, this can include childItems array – the list of files and folders contained in the required folder. If you want all the files contained at any level of a nested a folder subtree, Get Metadata won’t help you – it doesn’t support recursive tree traversal. In this post I try to build an alternative using just ADF.

But before you get too invested in this technique, please read Richard’s spoiler.

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Using Pester to Test Cluster Resource Owners

Published 2020-09-30 by Kevin Feasel

Jess Pomfret has a check for who owns specific failover cluster resources:

If we are going to test that we’re in our expected configuration, we need to record what that configuration looks like.  I have a hard coded list of cluster names. However, you could easily pull them from a text file, or a database.  Once we have the list of clusters we can use Get-ClusterGroup to determine the cluster roles and their current owners.

To persist this owner information I’m using ConvertTo-Json and then outputting it to a file. This creates a file that can easily be read back into PowerShell as an object using ConvertFrom-Json.

It’s also probably worth mentioning that this ideal configuration can be stored in source control. That’ll keep the file safe and you can easily keep track of any changes that are made to it.

Read on for the full set of steps.

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Adding Northwind to a SQL Server Instance

Published 2020-09-30 by Kevin Feasel

Doug Kline brings back a blast from the past:

 This post shows how to run a SQL Server Instance on about any computer using Docker Containers. Your next step might be to get a sample database into that SQL Server Instance. 

Thanks to Microsoft, you can get their sample databases as T-SQL scripts. You can use these to install these databases on whatever server you are connected to, including your “containerized” SQL Server instance.

It’s been a while since I’ve used Northwind, but sometimes you just need a simple database.

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