I would like to explore some best practices in Power Automate Filter Query feature

• Indexing columns or fields that are frequently used in filter expressions can enhance the query execution speed.
• Consider limiting the number of retrieved records by applying filters on indexed fields as early as possible in the Power Automate flow or by using pagination techniques.
• If performance remains an issue, you might explore using alternative techniques like leveraging batch processing or querying data in smaller chunks.

The Filter Query can be applied to various data sources such as SharePoint lists, SQL databases, Excel tables, Microsoft Dataverse (formerly Common Data Service), and more. When using the power automate filter query, it's a good practice to start with a simple query and gradually add complexity as needed. This helps ensure that the filter expression is functioning as intended. When dealing with large datasets, applying efficient filters can significantly improve performance.