30K Messages Per Second Queue | Scaling Postgres 295
π High performance Postgres queue π₯
With PG MQ’s stable API and aggressive tuning, they achieved 150,000 msgs/sec write and 30,000 msgs/sec read. Despite, larger message sizes didn’t affect the performance much. Plus, a 1-vCPU instance can still handle thousands of messages per second. Impressive! π€―π
#zerodowntime #logicalreplication #upgrade
Logical replication for zero downtime upgrade from Postgres 14 to 15.3 truly a game-changer. Filter feature ensures seamless migration of multi-terabyte tables, making the process a breeze. Kudos to the team for a detailed, informative post! πͺπ
Supervisor 1.0 – Making Postgres Connection Pooling Even Better
With query balancing, name prepared statement support, and query cancellation, Supervisor 1.0 is a game-changer for connection pooling. The read-after-write feature ensures data consistency. A must-try for Postgres users! π
PostGIS Day 2023 Summary – A Recap Worth Reading
A detailed summary of PostGIS Day 2023 provides valuable insights into the event. With presentations on various topics, it’s a must-read for PostGIS enthusiasts. Informative and engaging! ποΈπ
Exciting Sneak Peek into Postgres 2023
The State of Post Survey hinted at intriguing insights into Postgres usage and extensions. The study’s findings shed light on the primary reasons for using Postgres for AI work. A fascinating preview of the upcoming survey results! ππ
#postgrestats #performance #optimization
Stormax Tech’s guide to understanding table statistics using pg_stat is a must-read for Postgres users. Insights into sequential scans, unused tables, and vacuum status offer valuable performance optimization tips. Highly informative! ππ»
#postgresextensions #CPUinstructions #performance
Momus’ discussion on specialized CPU instructions in Postgres 16 is truly fascinating. Leveraging SD and intrinsic functions for parallel processing is a game-changer. An exciting peek into the future of Postgres performance optimization! ππ
#scalingpostgres #newsletter #mustread
For a weekly dose of informative content on Scaling Postgres, be sure to sign up for their newsletter. Stay up to date with the latest trends and developments in the Postgres world. A valuable resource for Postgres enthusiasts! π§π
π Key Takeaways
- Using PostgreSQL for high-performance queues
- Telemetry and performance metrics
- Zero-downtime PostgreSQL upgrades
- Supervisor 1.0 features
- PostGIS Day 2023 summary
- Updates on Postgres Community Association
- Sneak peek into Postgres 2023
- Understanding table statistics using pg_stat
- Specialized CPU instructions for acceleration
π High Performance Postgres Queue
In this episode, we explore the high-performance capabilities of PostgreSQL for queuing systems. With over 30,000 messages per second throughput on the queue, the focus is on performance optimization and system stability. The newly released 1.0 version of the system introduces stability in the API and significant performance enhancements. The system is designed to handle both write and read operations at scale, with a focus on message size and system resource allocation.
| Metrics | Performance |
|---|---|
| Write Queue – 150,000 messages per second | Read Queue – 30,000 messages per second |
| Instance Size – 16v CPU, 30GB RAM | Writers – 20 concurrent |
π¨βπ» Optimizations and Performance Enhancements
To achieve the impressive performance metrics, several optimizations were implemented. These included aggressive system memory allocation, increased message size, and fine-tuning concurrent writer and reader configurations. Additionally, the system’s adaptability to different hardware configurations, including instances with lower resource specifications, showcases its scalability and efficiency.
π Zero-Downtime PostgreSQL Upgrades
Another topic of interest is the zero-downtime upgrade process using logical replication. The detailed process involved setting up publications and subscriptions to synchronize data between new and old databases. Different strategies for handling small and large tables during the migration process were discussed, including techniques for handling large tables with frequent updates and replication monitoring.
"Using logical replication, we were able to seamlessly upgrade to PostgreSQL 15.3 without any service interruptions." – Postgres User
π Supervisor 1.0 Enhancements
The newly released Supervisor 1.0 introduces various features, including query balancing, prepared statement support, and query cancellation. It aims to provide a scalable connection pooling solution for PostgreSQL clusters, enabling efficient load balancing and performance optimization.
Highlights of Supervisor 1.0:
- Query balancing for read requests across the entire PostgreSQL cluster.
- Name prepared statement support for improved query execution.
- Query cancellation to manage and optimize query execution.
π PostGIS Day 2023 Summary
PostGIS Day 2023 was a significant event hosted by Crunchy Data, summarizing all presentations and discussions related to PostGIS. It provided insights into the latest developments, user experiences, and future directions for the PostGIS community.
π Updates on Postgres Community
The recent resolution of trademark disputes and the surrender of trademarks by Postgres organizations mark a significant milestone for the Postgres community. This amicable resolution paves the way for collaborative efforts and a unified approach towards driving the PostgreSQL ecosystem forward.
π Sneak Peek into Postgres 2023
The survey conducted by Timescale.com offers a sneak peek into the upcoming Postgres 2023 release. It provides valuable insights into the primary geographical locations of respondents, user experiences with Postgres, and prevalent extensions utilized in Postgres deployments.
π Understanding Table Statistics using pg_stat
Stormax Tech’s comprehensive guide to utilizing pg_stat tables offers valuable insights into monitoring and optimizing table performance. It covers identifying tables with high frequency sequential scans, checking write activity, and managing live and dead tuples in a table.
π‘ Specialized CPU Instructions
The utilization of specialized CPU instructions, such as single instruction multiple data (SIMD), for optimizing PostgreSQL operations was discussed by MoMUS. These instructions, integrated at the CPU level, aim to accelerate parallel processing and data operations within Postgres, providing potential performance enhancements.
In conclusion, the exploration of high-performance queuing systems, the zero-downtime PostgreSQL upgrade process, and the enhancements in Supervisor 1.0 showcase the continuous evolution and optimization of PostgreSQL for diverse use cases and scalability. Additionally, updates on community resolutions and insights into upcoming Postgres releases contribute to a vibrant and innovative ecosystem for PostgreSQL users and enthusiasts.
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