#Ssas tabular processing how to
#Ssas tabular processing full
#Ssas tabular processing code

Click on the + button next to Functions, select Webhook + API, choose C# as your language and click Create this function.ĭownload the latest client libraries for Analysis Services. Navigate to the Azure Portal and create a Function App (the name changes quite a bit, so don’t be concerned if it’s not exactly displayed as it is below)Īfter you’ve created the Function App, we need to add a new Webhook + API function, which we’ll use as the basis for our on-demand refresh. The steps that are needed to create an Azure Function for On-Demand Refresh are as follow: The following describes the process that Azure Functions will be involved in this scenario: The use of Azure Functions creates a trigger for the on-demand refresh of a tabular model from the web application or web hook, this is to make sure that selected elements of data in a tabular model, for example hot partitions, are always up to date. They are super useful for extending the capabilities of any solution and not just limited to what we’re going to cover here. Azure Functions lets you develop server less applications on Microsoft Azure.

#Ssas tabular processing code

Pay only for the time your code runs and trust Azure to scale as needed. Functions can make development even more productive, and you can use your development language of choice, such as C#, F#, Node.js, Java, or PHP. You can write just the code you need for the problem at hand, without worrying about a whole application or the infrastructure to run it. …a solution for easily running small pieces of code, or “functions,” in the cloud. According to Microsoft, Azure Functions are: Azure Functionsīefore we begin properly, it’s worth spending some time introducing Azure Functions. This post has taken inspiration and part of the code base from the a Microsoft blog: Automating Azure Analysis Services processing with Azure Functions.

#Ssas tabular processing how to

Not only am I going to show you how to do process a tabular model on-demand, but also how to process a tabular model on a schedule. In this post, I’m going to show you how to process a tabular model only using Azure PaaS offerings.

#Ssas tabular processing full

The challenge still exists, but how do you achieve the same in Azure using Platform as a Service (PaaS) objects which do not have the benefit of a full server and items, such as msdb and SQL Agent, to aid in the process? The challenge there was to have a way of processing a tabular model on demand from a web application. You may need to experiment with different approaches to find the one that works best for your needs.A couple of weeks ago I wrote a blog post detailing how to process a tabular model from a stored procedure.

The best approach for your scenario will depend on the specific requirements of your data and your SSAS Tabular model. This approach is best suited for scenarios where you have a small amount of data that needs to be updated frequently. This approach requires that you have two or more partitions that contain the same data, and that you can merge them into a single partition. Merge partitions: Merge partitions is a technique that allows you to merge two or more partitions into a single partition. This approach is best suited for scenarios where you have a moderate amount of data that needs to be updated frequently. This approach requires that you have a way to identify the changed data, such as a timestamp or a flag, and that you can use this information to process only the changed data. Incremental processing: Incremental processing is a technique that allows you to process only the data that has changed since the last processing. This approach is best suited for scenarios where you have a large amount of data that needs to be updated frequently, and where the data is too large to be imported into the SSAS Tabular model. This approach is best suited for scenarios where you have a large amount of data that needs to be updated frequently.ĭirectQuery mode: DirectQuery mode allows you to query the data directly from the source database, rather than importing it into the SSAS Tabular model.

This approach requires that you have a staging table that contains the updated data, and that you can switch the partition to the new data. Partition switching: Partition switching is a technique that allows you to switch out an old partition and switch in a new partition with the updated data.

Yes, there are several approaches to achieve incremental delta load in SSAS Tabular models. Das - Thanks for the question and using MS Q&A paltform.