The author shares the results of a personal experiment aimed at transforming the Apache Cloudberry MPP system into an extension for PostgreSQL 19. Unlike existing solutions like Citus or classic Greenplum, which often lag behind current PostgreSQL versions, this project seeks to create a modern analytical tool compatible with the latest extensions, including PostGIS and pgvector. During the project, the author utilized LLMs to port over 90% of the source code, achieving a 59% test pass rate in just 12 days of development. While currently a private initiative rather than an official upstream release, the project demonstrates the potential of integrating MPP functionality directly into the PostgreSQL core, which could significantly simplify the deployment and maintenance of analytical data warehouses in containerized environments.
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