Optimizing virtual warehouse scale
This recipe will explore how we can expand the number of concurrent queries that a virtual warehouse can process and identify the optimal sizing for your virtual warehouses. This entails analyzing query usage for each virtual warehouse and identifying whether the warehouse can process an additional load of queries concurrently or is limited. If it is struggling to match the demand from the workload, we will see how we can resize the cluster or virtual warehouse to an optimal size from a processing and billing perspective.
Getting ready
In this recipe, we will use Snowflake's web UI to show how to use different tools to put a load on the warehouse. We intend to use benchmarking queries in this case, which are available with Snowflake. Secondly, we shall be exploring analytics provided within the web UI to help understand the workload and actions that we can take based on the analysis.
How to do it…
Let's start with the...