OrioleDB - a new storage engine for PostgreSQL
PostgreSQL, a powerful open-source object-relational database system, has been lauded for its robustness, functionality, and flexibility. However, it is not without its challenges – one of which is the notorious VACUUM process. However, the dawn of a new era is upon us with OrioleDB, a novel engine designed for PostgreSQL that promises to eliminate the need for the resource-consuming VACUUM.
The VACUUM process in PostgreSQL is a historical artifact that traces its roots back to the Berkley Postgres project, which implemented a concept known as infinite time-travel. The concept, while innovative at the time, was eventually dropped by the PostgreSQL community. However, it led to the implementation of a Multi-Version Concurrency Control (MVCC) system prone to table bloat.
The PostgreSQL MVCC system, while beneficial for handling concurrent transactions, introduced the need for manual vacuuming. This was a process in which old, unneeded data was purged to free up space and ensure efficient database operations. Manual vacuuming, however, was a labor-intensive task and a potential source of inefficiencies in the system.
OrioleDB is a groundbreaking new engine for PostgreSQL, developed with a primary goal: to save tables from bloat and eliminate the need for regular maintenance like VACUUM. It achieves this through the implementation of row-level and block-level undo logs, as well as automatic page merging.
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