- #Sql toolbelt failed with exit code 0cx0000022 update
- #Sql toolbelt failed with exit code 0cx0000022 license
Here's an example of setting up an Azure DevOps pipeline for database deployments and testing. Octopus, Jenkins, Azure DevOps, AWS DevOps, all these are flow control tools that can automate most of your deployment across your environments through the tool that manages getting your database in and out of source control. Hopefully, you already have this in house, but if not, time to introduce it. So, we've decided on a tool, now we have to control the flow. Most of the rest are state-based and inferior to SSDT or my tools. I don't see any of the other tools listed. Dacpac's are state based only (and by themselves have no easy way to get stuff in & out of source control, you have to get SSDT or something else). We thought we fixed it like three times already.ĭBUp is migrations only (also, a giant PITA, look to Flyway to see this done better). We've known we had to get here for over 10 years, but the problem is that hard to solve. Basically, state-based while you develop and migrations just for the deployment. So, we've introduced a mechanism that is a combination of state and migrations now that gives you the best of both world.
Add a column, drop a column, add a column, that's what migrations will do. However, it introduces another weakness, which is, literally moving the dev process into production. Migrations completely automates and fixes the issue with state-based approaches. Migrations works on the concept of only capturing changes and putting them into a sort of a manifest, and running them in order. These are migrations-based deployment tools. Then, we have a couple of different tools, SQL Change Automation and Flyway. Similar methods to SSDT, but, they work directly within SSMS, huge difference. SQL Compare and SQL Source Control are both state-based like SSDT (which is based on the 2005 version of SQL Compare, just so you know). Then, you have to completely step outside the state-based tool and do pre/post scripting manually to deal with those issues. State based works well, except when you're dealing with changes that have the potential to cause data loss. Meaning, it compares states, source control to your database, one example, to arrive at a script to move between states. SSDT is what is called state-based deployments.
#Sql toolbelt failed with exit code 0cx0000022 license
It's "free" as long as you have the right Visual Studio license (which isn't free, depending on your deal with Microsoft at your organization). So, Microsoft has SQL Server Data Tools built into Visual Studio. From there, you need a way to get them out of source control, and frankly, this is the tricky part. You have to get your databases into source control, step 1. I don't care if we're talking Git, TFS, SVN, whatever. The core to this topic is you have to plan to work everything through source control.
I might have a small prejudice on this topic. We specialize in database devops tooling. What I'm looking for is other DBAs who have had this experience or are in such a DevOps environment right now who would be willing to share what tools they use, what methods have worked for them, any pitfalls or issues they've seen, and whether they have been able to successfully automate most of this or if there is a lot of hands on.
QUESTION: First, I'm not asking anyone to do my job, so I don't need someone telling me what to do. Preferably the use of smaller change scripts to modify production to match dev environment, etc.įind a better way to track the changes between iterations of development.
#Sql toolbelt failed with exit code 0cx0000022 update
TASKED: I've been tasked with finding the following:ĭeveloping a way to better transition databases and changes between Dev/Test/UAT and Production environments.įinding a better way to update databases instead of full on recreation of them or scripts to copy and restore databases between environments. I came out of a DBA position at my last two employers and mostly focused on server side of SQL since we didn't have developers. I inherited ~400 databases across ~32 servers (a mix of MSSQL and SAP SQL Anywhere, and a mix of local VMs, remote data center VMs, Azure VMs, and Azure SQL DBs). Prior to my arrival, they have been without any DBAs and everything has been managed by a small Sysadmin team along with the developers (one of which is a data analyst/developer). What, if any, problem areas or gotchas have you run into.īACKSTORY: I'm currently a DBA for an Insurance company. TL/DR: Looking for any guidence or advice on what tools you (a DBA in a DevOps environment) have found to be successful to manage database change scripts/processes and the creation and deployment of those changes. Hey guys, hope I can get some general feedback from those of you DBAs who are also involved with developing/releasing updates in a DevOps environment.