For the purpose of versioning a SQL database, there should be a mechanism that allows for quickly linking a database to an existing or to a blank repository and to initially Commit all database objects, or at least a set of objects that needs to be versioned.
December 16, 2016
In order to version static data, just like database objects e.g. Tables, a mechanism needs to be created to identify only those tables designated as “static” (see below) and to come up with a reproducible process, that will Commit the data in these tables to source control. This article covers this process
December 14, 2016
Once a SQL database is committed to a source control repository with all of its objects, the next task is to commit the static data. Static data is non-transactional data from tables that generally don’t change often like postal codes, department names etc. Many teams treat this type of data akin to the database structure itself, by versioning it to track changes and deploying it from source control just like database objects. As data is versioned in source control, managing it can be automated as well.
October 7, 2016
In this article, the last step of SQL Server database continuous integration (CI) workflow, or the first step of a continuous delivery (CD) workflow) the Sync step.
In the previous article, the Test step described how to create and run unit tests against a database. If all tests are passed, the tested database can be compared to a final QA environment or even Production databases, and a synchronization script will be created to publish the changes.
July 4, 2016
In case of database development, in the same way as for the application development, there are always tasks such as developing a new feature, fixing bugs from the current release, experimenting with code in order to improve performance, usability in any way and so on. Because of all of this, it is essential that any changes that have to be committed, but not immediately, are segregated to an isolated environment, that does not affect the rest of the team or the main code. For instance, when developing a new feature, it may require a lot of changes to be committed, before the feature, or even a functional part of the feature becomes useful, so the rest of the team can apply it on their local copies of a database. Without having the isolation while developing, the team will lack the freedom to code, without having to worry about breaking the existing code base.
May 25, 2016
In the third part of the continuous integration aka “CI” workflow, the Populate step will be described.
After the Build step is successfully finished, where a new database is built directly from latest changes in source control, the Populate step is initiated. In this step, non static tables in the newly built database from the source control repository will be populated with test data.
May 20, 2016
One of the challenges these days is how to pull the latest changes (of SQL objects) from the source control repository and deploy them into a SQL database. This process is particularly helpful in the CI workflow Build step, when developers want to build a SQL database from the committed changes in the source control repository, so they can test if their changes compromised SQL objects from the source control repository or they will be built successfully.
April 27, 2016
In this article, the second Build step of the CI workflow will be described. The Build step is a step in which a database is built using the latest changes in the source control repository and once the build process is finished, a feedback of success/failure is provided to developers.
April 27, 2016
Having a SQL database being version controlled locally, by storing all changes in a repository on a local machine can be quite handy. In the context of team based database development, it is necessary to establish the environment where changes can be tested locally, specific revisions reverted from the commit history, and doing such things before pushing changes to the remote repository where the rest of the team will be able to review them, and apply against a local database copy.
April 26, 2016
Nowadays, it’s quite common that database changes are made several times a day and that a number of developers are making changes against the same database. Due to these often changes, a certain “process” has to be followed in order to avoid any potential problems in the later stages of development (Quality Assurance (QA), Staging, User Acceptance Test (UAT)) and at the end in production. When talking about the Continuous integration (CI) for SQL databases today, it’s often referred to a process of several steps:
April 22, 2016