Extract and migrate data from nested tables with user-defined nested types from Oracle to PostgreSQL
Database Blog
This article provides a comprehensive guide for extracting and migrating complex nested user-defined types (UDTs) from Oracle to PostgreSQL databases, focusing on two key scenarios involving multi-layered nested data structures.
- The migration process involves multiple steps:
- Using AWS Schema Conversion Tool (SCT) to convert database schemas
- Creating Oracle PL/SQL procedures to transform nested data
- Using AWS Database Migration Service (DMS) to migrate transformed data
- Utilizing PostgreSQL functions like string_to_array for final data loading
- Key challenges addressed:
- Handling nested table types with multiple layers
- Converting Oracle-specific member functions
- Preserving data structure integrity during migration
- Demonstrated migration techniques for:
- Movie synopsis data with single-layer nested UDTs
- Movie artist data with multi-layer nested UDTs
The article provides a detailed, technical approach to migrating complex nested data structures between different database systems, emphasizing the importance of careful data transformation and type conversion.
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