Replicate data between partitioned and non-partitioned tables using trigger functions in Amazon RDS for PostgreSQL or Amazon Aurora PostgreSQL
Database Blog
This article provides a solution for replicating data between partitioned and non-partitioned tables in Amazon RDS for PostgreSQL or Amazon Aurora PostgreSQL using trigger functions.
Specifically, the article covers:
- Solution overview and rationale
- Step-by-step instructions for creating partitioned and non-partitioned tables
- Creating trigger functions for INSERT, UPDATE, and DELETE operations
- Testing the solution by simulating data changes
- Cleanup steps to remove the test resources
- Conclusion highlighting the key benefits of the solution
The AWS News Feed is currently looking for gold sponsors. If you want to support the AWS community and reach a large audience of AWS professionals, consider sponsoring the AWS News Feed.
Related articles
May 14
2024
2024
Continuously replicate Amazon DynamoDB changes to Amazon Aurora PostgreSQL using AWS Lambda
Jun 4
2024
2024
Automate interval partitioning maintenance and monitoring in Amazon RDS for PostgreSQL and Amazon Aurora PostgreSQL – Part 2
Feb 29
2024
2024
Implement advanced replication features with Amazon RDS for MySQL and Amazon Aurora MySQL using intermediate replication servers
Apr 26
2024
2024
Use Single-AZ read replicas in Amazon RDS for SQL Server
The AWS News Feed is currently looking for silver sponsors. If you want to support the AWS community and reach a large audience of AWS professionals, consider sponsoring the AWS News Feed.