How can you limit hourly batch processes from interfering with OLTP transactions on an ATP database?

The correct approach to preventing hourly batch processes from interfering with OLTP transactions on an Autonomous Transaction Processing (ATP) database is to configure ATP resource management rules to manage runtime and IO consumption for the consumer group of batch processes.

This option effectively utilizes the built-in resource management capabilities of ATP, allowing you to define specific resource allocation and limits for different workloads. By establishing rules for the batch processes, you can ensure that they don't monopolize database resources or degrade the performance of concurrent OLTP transactions. This kind of resource control is crucial in maintaining performance and responsiveness in OLTP environments, especially when running background jobs or batch processing.

Other strategies, while potentially beneficial, may not address the core issue of resource contention as effectively. For example, copying OLTP data into new tables in a new tablespace can isolate the data but does not prevent resource competition, particularly regarding CPU and IO. Stating that ATP is designed exclusively for OLTP workloads simplifies the capabilities of ATP, which can support multiple workloads if managed correctly. Disabling automated backups during batch processes might provide some temporary relief but does not represent a sustainable or holistic solution for managing workload interactions.