What is a recommended topology for managing query heavy environments in Tableau Server?

In query-heavy environments, it is essential to optimize performance and resource allocation to handle the demand for data queries efficiently. Separating the node with the File Store from the node with VizQL is a recommended strategy in this context.

This topology provides a clear division of resources, allowing each node to focus on its specific tasks without the contention that can occur when multiple processes share the same node. The File Store node handles storage-related tasks, such as saving and retrieving workbook files, while the VizQL node is dedicated to processing user queries and rendering visualizations. By maintaining this separation, the system can effectively manage increased query loads, ensuring that the rendering of visualizations remains responsive and that file operations do not impede query performance.

The other options present less effective solutions. Running all processes on a single node would likely lead to resource bottlenecks, especially in high-demand scenarios. Using only one backgrounder process could limit the ability to handle asynchronous tasks, such as extract refreshes or subscription deliveries, which could also impact performance. Lastly, consolidating all server nodes into one would counteract the benefits of distributing workloads across multiple dedicated nodes and would likely result in performance degradation in a query-heavy environment. Thus, maintaining a separation of concerns with dedicated nodes is the