Hello and welcome to episode number three of SQL On the Edge! In this episode we’re going to cover Azure SQL elastic database jobs. In the last few months, Microsoft has put a lot of effort in augmenting the elastic capabilities of the Azure SQL database service. We’re not only talking about the ability to scale UP but in this case about the capability to scale OUT.
The investments made on this front have produced:
– Elastic database tools for easier .NET development against multiple Azure SQL databases.
– Elastic database pools for better resource management.
– Elastic database jobs for easier job execution against groups of databases.
– Elastic database query for easier integrated querying of groups of databases.
Elastic database jobs are interesting because for a long time there wasn’t a native way to run jobs against Azure SQL databases. The solution we used with many of our clients was to have either a SQL Server on a VM to use the SQL Agent scheduling capabilities or using the Windows scheduler from a Windows Server VM or using the Azure job scheduler. These options, while serviceable were not really optimal for the task.
Elastic database jobs provide capabilities that cover the gaps we had before:
– You can run a job against an entire database pool, a pre-defined shard set or a custom database list.
– Job execution is logged and history can be retrieved per database.
– Information can be collected and stored from the results of each job execution.
For now, elastic database jobs are provided as a customer hosted web solution and an accompanying SQL database. At the moment, Powershell is also required to access the full functionality as the Portal only exposes a small part of it.
Let’s go over the feature and the demo in the video, enjoy!
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