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Group database tables under AWS Database Migration Service tasks for PostgreSQL source engine

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This article provides a comprehensive guide to grouping database tables under AWS Database Migration Service (DMS) tasks for PostgreSQL, focusing on optimizing migration performance and efficiency.

  • The approach involves creating a control table to analyze database object characteristics such as:
    • Table size
    • Partitioning
    • Primary/unique keys
    • LOB columns
    • DML change volume
  • Key steps in the migration preparation process include:
  • Creating a control table
  • Populating the table with metadata from system catalogs
  • Capturing daily table growth
  • Categorizing tables by step number
  • Grouping database tables
  • The goal is to create AWS DMS tasks that:
  • Minimize migration latency
  • Optimize performance
  • Handle large tables and complex database structures

The method provides a systematic approach to analyzing and preparing for database migration, helping organizations create more efficient and targeted migration strategies.

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