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Queues in PostgreSQL | Citus Con: An Event for Postgres 2022

Video of a talk given by Thomas Munro at Citus Con: An Event for Postgres. Abstract: Many projects involve something resembling a job or message queue. Using a PostgreSQL database for this can be a reasonable choice in some cases. However, it's not without complications. This talk in the APAC livestream at Citus Con looks at queue-like database workloads in detail. The topics covered include: • defining and categorizing queue-like structures and access patterns • reasons to consider building queues inside your relational database • reasons to avoid building queues inside your relational database • example use cases • locking strategies and concurrency • higher transactions isolation levels • vacuuming considerations and workarounds • statistics and indexes • benchmarking • comparing Postgres to some other RDBMSs • some potential future features for PostgreSQL Thomas Munro is a PostgreSQL developer and committer based in New Zealand. He began working full time on PostgreSQL 7 years ago, first at Enterprise DB and now at Microsoft. Before that he worked with Unix and relational databases in the web, finance, and software industries for a couple of decades. Some of Thomas’s PostgreSQL interests include query parallelism, taming resource management, transaction machinery, portability, and modernizing database/operating system interfaces. His other non-Postgres interests include hacking on the FreeBSD operating system, trying to learn other languages, and trying to ride various things with wheels. ► Video bookmarks: ⏩ 00:00 Introduction ⏩ 03:19 What is a queue? ⏩ 05:36 Why put a queue in an RDBMS ⏩ 07:32 Example queue use cases ⏩ 09:26 How would you build a queue in Postgres ⏩ 15:34 Complications with queue processing in Postgres ⏩ 19:09 What could we do better to improve Postgres queue processing? ⏩ 24:20 Q&A with Thomas & Aaron ✅ Learn more: Watch more Citus Con talks: https://aka.ms/cituscon-playlist 📕 Everything you need to know about Citus Con: An Event for Postgres can be found at: https://aka.ms/cituscon 📌 Let’s connect: Twitter – @CitusCon,   / cituscon   #CitusCon #PostgreSQL #Database