no way to optimize this query?

Diagnosing the reason for high resource consumption in a query can be challenging without complete information about the database schema, the query, and the execution plan. However, I can provide some general steps that you can follow to diagnose and potentially optimize your query:

• Execution Plan: Analyze the query execution plan using SQL Server Management Studio or a similar tool. Look for operations with high costs or long durations, such as table scans, index scans, or expensive join operations.
• Missing Indexes: Check if there are any missing indexes that could improve the performance of your query. The execution plan may provide index recommendations to consider.
• Statistics: Make sure the statistics on your tables are up-to-date. Outdated statistics can lead the query optimizer to choose inefficient execution plans.
• Query Design: Review the query itself for any inefficiencies or redundancies, such as unnecessary joins or derived tables. Simplifying the query can sometimes lead to better performance.
• Partitioning: If your table has a large amount of data, consider partitioning the table to improve query performance. Partitioning can help optimize queries that filter on a specific range of values.
• Hardware and Configuration: Check the hardware and configuration settings of your RDS instance. Make sure that it has adequate resources (CPU, memory, and storage) to handle your workload. You may need to upgrade your instance type or adjust the configuration settings to improve performance.

Remember that diagnosing and optimizing query performance can be an iterative process. You may need to try multiple approaches and monitor the impact of your changes to find the best solution for your specific case.