You signed in with another tab or window. Reload to refresh your session.You signed out in another tab or window. Reload to refresh your session.You switched accounts on another tab or window. Reload to refresh your session.Dismiss alert
When performing tasks like indexing on large dataset (1.6M rows) takes 20-30 minutes the complete (without concurrently), and the drastically slows down query/app response times (reader). We have concurrently enabled, but that causes the indexing task to take even longer.
Investigate the right setup for RDS Cluster writer/reader configs
should we have separate writer and reader definitions on the cluster?
Create read-only proxy endpoint? Does that need separate reader on cluster or does cluster manage that already?
This issue is now marked as stale because it hasn't seen activity for a while. Add a comment or it will be closed soon. If you wish to exclude this issue from being marked as stale, add the "backlog" label.
Closing this issue as it hasn't seen activity for a while. Please add a comment @mentioning a maintainer to reopen. If you wish to exclude this issue from being marked as stale, add the "backlog" label.
Describe the feature
When performing tasks like indexing on large dataset (1.6M rows) takes 20-30 minutes the complete (without concurrently), and the drastically slows down query/app response times (reader). We have concurrently enabled, but that causes the indexing task to take even longer.
Investigate the right setup for RDS Cluster writer/reader configs
References:
Use Case
Indexing large dataset (>1M rows) without degrading the search performance.
Proposed Solution
Other Information
No response
Acknowledgements
The text was updated successfully, but these errors were encountered: