I've been exploring execution plans in Azure SQL Databases a lot lately. I'm getting a presentation together for  some upcoming SQL Saturday events (first one is SQL Saturday #177, Silicon Valley). If you scroll to the bottom of this previous post, I mentioned that there were clearly differences in the optimizer because queries against empty databases were generating different plans. I've loaded up the data in my database, both SQL Server and SQL Database, so I can compare real behaviors. Doing so, I found a fun difference, even though I was running the query and generating the plan from SQL Server Management Studio. Here's the property sheet from the SELECT operator for the query run against SQL Server: And here's the property sheet from the SELECT operator for the query…
In my previous post showing how to get to execution plans in the Database Management Portal, I showed that it's pretty easy to put a query in a query window and get the execution plan. This allows you to understand query behavior in order to tune your T-SQL or your data structures, all through the Azure interface. But, what happens if you want to share an execution plan with a friend, post it to an online forum, save it for later comparisons as part of troubleshooting bad parameter sniffing, track behaviors over time as statistics change, other purposes that I can't think of at the moment? To first answer this question, let me tell you how you would do these things in SQL Server Management Studio (SSMS). First, and most…
If you've been working with the Azure SQL Database portal, you know that you have a query window. Within the query window you can run queries against your server. You'll get back results, timing, everything you need to observe behavior within the system. What's that? You never heard of this? Let's figure it out real quick. Here's my portal to my Azure SQL Databases: [caption id="attachment_2296" align="alignnone" width="150"] Azure SQL Database Portal showing usage overview[/caption] Yes, all sorts of things you can do from here, but we're focused on the bottom of the screen at the Manage button. Clicking this button will open up the Management portal window, part of which you can see below: [caption id="attachment_2298" align="alignnone" width="150"] Part of the Azure SQL Management Portal showing some of what…
When last we left our intrepid hero he had successfully deployed to SQL Azure using the Data-Tier Application Package, a DAC pac. It was easy and I had a database in place in nothing flat. There really weren’t any issues worth mentioning. I wasn’t crazy about the fact that unless I had Visual Studio 2010 I couldn’t edit the Data-Tier apps or get them into source control, but there you. So, assuming this is a real production application, I’ve just realized that I need to get a new procedure into my database. If I just got and run the script to create the procedure then I’ll be breaking the link between my database and the DAC pac (and yes, I still enjoy saying that knowing that blood pressure is rising…
You’ve set up your access to a SQL Azure site so you’re ready to go. Now how do you get your database up there? Well, TSQL works just fine, so you can script it all out to a file or set of files and apply them. Because you can connect with SSMS, you could use the GUI to build out your database. You can also use the Azure development platform and it’s web based GUI to create your database structures. Personally, the scripting method doesn’t seem too bad to me because you can get your code into source control that way. But, Microsoft has something additional in mind. It’s called Data-tier Applications or DAC for short (and yes, there are other things called DAC in SQL Server, what can I…
I'm starting the process of learning how to use Jupyter Notebooks. Notebooks are documents that contain live code, commentary, results, pictures and more. Jupyter Notebooks are used for presentations, documentation, run books, troubleshooting guides and lots more. Their support within Azure Data Studio opens up lots of opportunities. Azure Data Studio If you're interested in learning about notebooks yourself, or, as I publish the notebooks that I put together and you want to consume them, you need to have a mechanism. There are any number of third party or open source solutions to read notebooks. However, since I'm focused primarily on the Microsoft data platform, I'm using Azure Data Studio to do this work. I've written in the past about using Azure Data Studio (ADS). I also have a bunch…
In case you don't know, I've been writing a series of articles over on Simple-Talk as I learn PostgreSQL. It's all from the point of view of a SQL Server person, expanding into a new technology. In other words, a true story. I thought I'd take a moment here on my own blog to talk about the tools I'm using and why I chose those. AWS RDS Let's establish up front, I'm lazy. Very lazy. So yeah, I'm trying to learn this new technology, but I'm going to find as many ways to use the knowledge, skills & tools I already have as I can. Now, I first started learning PostgreSQL because I wanted to learn more about how Flyway works. Further, as I also needed to learn how to…
As part of my job, I've been tasked with doing some of my work in Oracle, so I'm learning Oracle. Allow me to share a little of my pain as I explore a space I've only ever dabbled in. Getting Started in Oracle Back in the day, in order to get started with Oracle, you begin at the Oracle web site. There, you download an installation, after getting a license (or while, whatever). In our modern era, this is the hard way to get stuff done. The first place I went was Azure. There is excellent Oracle support on the Azure platform and, best of all for me, it's really easy to fire up an Oracle VM. I had a server up and running in no time. Win! Another way…
If you're attempting to implement automation in and around your deployments, you're going to find there is quite a steep learning curve for DevOps and DevOps-style implementations. Since adopting a DevOps-style release cycle does, at least in theory, speed your ability to deliver better code safely, why would it be hard? Why is there a Learning Curve for DevOps? I recently did a presentation on a simple Continuous Integration process. Here are the tools that I used in the demo: Local Git repositoryVS CodeAzure Data StudioAWS CodeCommitAWS CodePipelineAWS CodeBuildAWS RDS PostgreSQLShell commandsYAMLDockerFlyway Also, I regularly present using Azure DevOps Pipelines too. Here's the list of tools that might be in a given demo: Local Git RepositoryVS CodeAzure Data StudioAzure Git RepositoryAzure DevOps PipelineAzure DevOps AgentRedgate DeployAzure SQL DatabaseYAMLPowerShelltSQLt While there…
If you're working with the Microsoft Data Platform, you should be, at the least, exploring Azure Data Studio as a new tool in your toolbox. One of the big reasons for this is the inclusion of Jupyter Notebooks. For those who don't know, Jupyter Notebooks are an open source documentation tool that lets you combine text and pictures with live code. From this we can talk about runbooks that you can share with people, lessons in combination with videos, presentations, interactive software documentation and lots more. I'm myopically focused at the moment on Azure Data Studio, but there are a lot of other places and ways to create or consume notebooks. However, I'm going to keep my focus. The issue I'm running into, is distributing the notebooks. Where to go…