What are the industrial standards for developing a CI/CD pipelines for Azure SQL database? I have an existing Azure SQL database (DEV instance, includes Schemas, Tables, Functions, Stored Procedures, etc. ) the code for these are hardcoded (meaning, not generated using SSDT compare nor generating script from existing table/SP/Function nor DACPAC/BACPAC file, it's just the code which developers wrote) and maintained in Git repo, Now, my users want to create another Database using the scripts which were uploaded into Git by developers (Use the code which was uploaded by developers in Git (bitbucket), meaning identifying all the dependencies of DB objects and executing them in order to create new Database, Is this the correct approach? consider this as approach 1), upon investing lots of time on deployments, I am confused/convinced that it is advised to follow below approach, let's call it as approach 2,
Links I have gone thru: Configure CD of Azure SQL database using Azure DevOps and Visual Studio
Please correct me if my understanding is wrong,
Thanks a ton, A DevOps newbie here.
Azure DevOps services provide the Azure SQL database deployment task to deploy an Azure SQL database.
So the approach 2 is the common way. With the task we can deploy an Azure SQL Database using DACPAC or run scripts using SQLCMD.
You can also reference the following links: