Grouping database tables in AWS DMS tasks for Oracle source engine
Database Blog
This article provides a detailed guide for grouping database tables in AWS Database Migration Service (DMS) tasks for Oracle source engines. The authors describe a systematic approach to analyzing and grouping database tables for efficient migration, considering factors like table size, partitioning, LOB columns, and DML volume.
- Key steps include creating a control table to capture database metadata
- Analyzing table characteristics like size, partitions, LOB columns, and DML changes
- Categorizing tables into steps based on specific attributes
- Grouping tables with a goal of creating migration tasks around 600 GB each
- Provides scripts to automate table analysis and grouping process
The methodology helps optimize AWS DMS migration tasks by intelligently distributing tables across tasks, considering hardware capabilities and database workload characteristics.
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