What happens when performance issues arise with an entity query?

When performance issues arise with an entity query, choosing to switch to using row queries can be a beneficial approach. Row queries provide a more direct way to retrieve data from the database, allowing for potentially better performance in scenarios where complex entity relationships and large datasets cause inefficiencies in processing.

Entity queries, while user-friendly and easier to read, often involve additional overhead due to their abstraction over the underlying SQL. This can lead to performance bottlenecks, particularly when handling large volumes of data or when the required data can be accessed more efficiently through raw SQL.

Conversely, switching to row queries can streamline the data retrieval process, allowing developers to optimize SQL performance more directly and tailor their queries to the specific needs of their applications. This is particularly relevant in performance-sensitive applications where speed and resource usage are paramount.

The other options, such as continuing to use entity queries, performing queries in batches, or limiting result sets, may not address the core performance issues as effectively as transitioning to row queries, which can often yield more immediate improvements.