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#Ssdt for visual studio 2019 how to#
#Ssdt for visual studio 2019 code#
#Ssdt for visual studio 2019 series#

#Ssdt for visual studio 2019 code#

Now, you will see the code created by one tool that I introduce later:ĬREATE PROCEDURE. Let’s create a code – MERGE statement for the table.

DELETE – for all rows which present in the target but not in the source.

INSERT – for these rows which are in the source but not in the target yet.

The script should do all actions at once: Not only the new rows but also all unexpected rows which must be deleted, or changes made for existing rows which must be updated and return to the desired state. Have a look at these 2 scenarios: Scenario #3 (Full update, including Delete)īy creating a MERGE statement we do ensure that the data is the same as in repo. The things are getting complicated, right?Ī MERGE statement can come with help then. What if you must “simply” reflect all you have in the source (code repository), updating whatever exists or not in the target database tables?

That’s why is better to protect these data and redeploy and overwrite all rows over and over again. Target is not empty, but new rows can come from the code and need to be added.Ī drawback of this approach: data could change accidentally by developers, external system (when should not) or undiscovered process. Also, any developer can write it, not just database developers. It is not fast, but it can work for small tables. This is probably the most common way to generate reference data. Let’s take a look (agenda): Type of reference data Scenario #1 (insert new rows only)

#Ssdt for visual studio 2019 how to#

I would divide the problem into two things:Ģ) How to build a deployment of the reference data, considering the following aspects:ī) Update existing data (in target table)Ĭ) Should I delete rows that don’t exist in the source? I will show you some solutions I have used for projects I’ve worked for to date. There are several ways how to approach this problem. Having said that – you already might know than the game is just beginning… Post Deployment The answer is the Post-Deployment script. Hence: the question is: how we can cope with that? Which term have you heard and is closest to you?īy default, SSDT does not support scripting or deploying the data. Nomenclature for these data/tables that you can meet are: It’s a very common scenario when we have a database (project) and require some data in selected tables even in the freshly deployed, empty database. There is another category of thing, which exist on a database level, but can’t be managed by SSDT natively. We can not manage out of the box with SSDT is everything behind the scope, e.g.: We already know that SSDT can cover all objects but only on a database level, such as:

#Ssdt for visual studio 2019 series#

This post is a part of the series about SSDT and database project leveraging Visual Studio. Script and deploy the data for database from SSDT project