Optimizing query performance
Power Query operates within a constrained environment. Specifically, each mashup container has a limited amount of resources. This limitation is an important factor to consider when creating queries. It is important to reduce the data volume right at the beginning of your query for fast queries. By doing so, you not only speed up the query process but also prevent exceeding resource limits that cause paging and can lead to slow performance or failures.
As previously discussed, using the query folding mechanism is one of the most effective strategies for optimizing performance. However, there are scenarios where your data source does not support query folding, or a required transformation breaks the folding process. In such cases, the strategy shifts toward minimizing the memory footprint of your query. So, what are some effective methods to achieve this?
Prioritize filtering rows and removing columns
It’s worth emphasizing here that...
