Database schema changes - Practicing Continuous Integration and Continuous Delivery on AWS

Database schema changes

It’s common for modern software to have a database layer. Typically, a relational database is used, which stores both data and the structure of the data. It’s often necessary to modify the database in the continuous delivery process. Handling changes in a relational database requires special consideration, and it offers other challenges than the ones present when deploying application binaries. Usually, when you upgrade an application binary you stop the application, upgrade it, and then start it again. You don't really bother about the application state, which is handled outside of the application.

When upgrading databases, you do need to consider state because a database contains much state but comparatively little logic and structure.

The database schema before and after a change is applied should be considered different versions of the database. You could use tools such as Liquibase and Flyway to manage the versions.

In general, those tools employ some variant of the following methods:

  • Add a table to the database where a database version is stored.

  • Keep track of database change commands and bunch them together in versioned change sets. In the case of Liquibase, these changes are stored in XML files. Flyway employs a slightly different method where the change sets are handled as separate SQL files or occasionally as separate Java classes for more complex transitions.

  • When Liquibase is being asked to upgrade a database, it looks at the metadata table and determines which change sets to run in order to bring the database up-to-date with the latest version.