The process of migrating spatial data from self-managed PostgreSQL, Amazon RDS for PostgreSQL, or Amazon Aurora PostgreSQL-Compatible Edition to Amazon RDS for PostgreSQL or Amazon Aurora PostgreSQL-Compatible Edition using AWS Database Migration Service (AWS DMS) is outlined. Spatial data includes points, lines, polygons, and collections of these features, which are essential for applications like mapping and asset tracking. AWS DMS treats spatial columns as large objects (LOBs) and requires proper configuration for LOB handling and PostGIS support to avoid migration failures.
PostGIS is an extension for PostgreSQL that manages geospatial data types and functions, enabling operations such as radius searches and distance calculations. Amazon RDS for PostgreSQL fully integrates with PostGIS, making it suitable for geospatial applications. The migration solution involves ensuring compatibility of PostGIS versions between source and target databases, configuring AWS DMS, and validating the migration.
Prerequisites include having an AWS account, RDS instances for source and target, a DMS replication instance, and the PostGIS extension installed on both databases. Tables must have primary or unique key constraints, and geometry columns must be nullable for LOB handling. Best practices for configuring PostGIS include validating version compatibility, monitoring resource usage, and establishing backup strategies.
Implementation steps involve creating a spatial table in the source database, preparing the target database, configuring the AWS DMS task with specific settings, and monitoring the migration process through CloudWatch logs. Common errors during replication may relate to LOB handling or PostGIS data types. Post-migration validation includes comparing row counts, verifying geometry data types, and ensuring the functionality of PostGIS spatial functions. Finally, it is recommended to clean up all resources post-migration to avoid ongoing charges.