The Container Bridge

Instead of fighting the data formats, I shifted the paradigm. I fed the constraints to an AI assistant and engineered a dynamic translation pipeline.

Using Docker Compose, I spun up both a MySQL 5.7 container and a PostgreSQL container simultaneously. I loaded the raw production backup natively into the MySQL container—where it belonged.

# docker-compose.yml snippet
services:
  legacy_db:
    image: mysql:5.7
    # Load raw prod dump here
  new_db:
    image: postgres:latest

Then, using an AI-recommended data migration middleware paired with a custom compatibility configuration file, we bridged the two containers. The script mapped the discrepancies and streamed the data across the void.

Two hours later, a decade of operations rested perfectly in PostgreSQL. The benchmark was staggering: identical complex queries ran nearly 10x faster. We even discovered that native PostgreSQL window functions could completely replace hundreds of lines of legacy Java statistical logic. The foundation was rock solid.