It appears that the documentation and GitHub issues don't directly address your concern about PostgreSQL database memory usage in AWS RDS running out of freeable memory.
Running out of freeable memory in an RDS instance could be due to several factors, including:
1.
Heavy Query Load: Intensive read/write operations might be consuming excessive memory.
2.
Connection Management: Too many open connections can quickly use available memory.
3.
Configuration Issues: Default configurations may not be optimal for your workload size.
Here are a few steps you could take:
1.
Monitor RDS Performance:
- Check RDS Performance Insights and CloudWatch metrics to identify memory-consuming queries and operations.
2.
Optimize Queries and Indexes:
- Ensure your queries are optimized and proper indexes are used.
3.
Right-Size Your Instance:
- Consider scaling your RDS instance class to one with more memory if your workload demands it.
4.
Connection Pooling:
- Use connection pooling to manage database connections efficiently.
5.
Memory Parameters:
- Tune PostgreSQL memory parameters such as
shared_buffers
and
work_mem
to fit the instance's available memory without exhausting it.
Useful Links:
-
AWS RDS Performance Insights Documentation
-
PostgreSQL Memory Management
-
AWS RDS Monitoring with CloudWatch
If you need specific examples for connection pooling or changing RDS configurations via Prefect, let me know, and I can provide code snippets!
Nonetheless, here’s a brief overview of how memory is managed which might help you introspect further:
-
Prefect Managed Execution
Keep monitoring and tweaking as required. If all else fails, scaling up might be your best bet.
(Note: Do remember to check if your instance is correctly sized and if your workloads align with the current configuration capacity.)