Delivering Postgres Parallel Queries in YugabyteDB

YugabyteDB has integrated Postgres Parallel Query features to enhance its query parallelism, aiming to match or surpass Postgres in performance. This integration allows YugabyteDB to distribute query execution across multiple processes, enabling more complex operations such as joins, sorts, and aggregations to be parallelized. Although YugabyteDB's architecture naturally supports parallelism through data sharding across multiple nodes, integrating Postgres-style parallelism offers additional benefits, particularly for colocated tables. The collaboration has led to significant performance improvements, with tests showing over 2x gains in query execution times. While leveraging Postgres' parallel query infrastructure, YugabyteDB had to adapt certain elements, such as transaction state management, to fit its distributed architecture. Future plans include extending these capabilities to support hash and range distributed tables, optimizing parallel scan costs, and further increasing parallelism by deploying parallel subplan instances across nodes.