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Richard Yen: EXPLAIN's Other Superpowers
Most people who work with PostgreSQL eventually learn two commands for query tuning: EXPLAIN and EXPLAIN ANALYZE.
EXPLAIN shows the planner’s chosen execution plan, and EXPLAIN ANALYZE runs the query and adds runtime statistics. For most tuning tasks, this already provides a wealth of information.
But what many people don’t realize is that EXPLAIN has a handful of other options that can make troubleshooting much easier. In some cases they answer questions that EXPLAIN ANALYZE alone cannot.
Cornelia Biacsics: Contributions for week 11, 2026
The PostgreSQL User Group Vienna met for the very first time on Wednesday, March 18 2026, organised by Cornelia Biacsics.
Speakers:
- Ranjeet Kumar
- Jan Karremans
- Pavlo Golub
On Thursday, March 19 2026, the AMS DB came together for talks and networking.
Organised by:
PostgresHelp Production Digest #1: Planner Lies and VACUUM Myths
Hubert 'depesz' Lubaczewski: Waiting for PostgreSQL 19 – Add pg_plan_advice contrib module.
Radim Marek: pg_regresql: truly portable PostgreSQL statistics
The previous article showed that PostgreSQL 18 makes optimizer statistics portable, but left one gap open:
It's not worth trying to inject relpages as the planner checks the actual file size and scales it proportionally.
Deepak Mahto: PostgreSQL Sequence Reset: START WITH vs RESTART WITH vs SETVAL Explained
Recently during one of the Oracle to PostgreSQL migration with enterprise customer while designing cutover runbook, we were evaluating steps to perform Sequence value reset to match it as per Source so that every new value request using NextVal is an new one and does not incur transactional failure.
David Wheeler: pg_clickhouse 0.1.5
I’ve been busy with an internal project at work, but have responded to a few pg_clickhouse reports for a couple crashes and vulnerabilities, thanks to pen testing and a community security report. These changes drive the release of v0.1.5 today.
Get it from the usual sources:
Henrietta Dombrovskaya: Prairie Postgres March Meetup
Yes, it was St. Patrick’s Day, and also Illinois Primaries, and the weather was beyond bad, but we still had a good crowd!
Pizza always comes first :), because nobody is going to go hungry! Whether you stay for Postgres or not is up to you, so I am assuming that when people are coming and staying, it’s not just for pizza
Vibhor Kumar: PostgreSQL HA Without SSH: Why Open Source efm_extension Matters in a Zero-Trust World
There was a time when High Availability in PostgreSQL came with an implicit assumption: if something important happened, an administrator could log into the server, inspect the state of the cluster, and run the command that steadied the ship. That assumption is fading fast. In many modern enterprises, direct OS-level access is no longer part of the operating model.
Hubert 'depesz' Lubaczewski: Waiting for PostgreSQL 19 – Introduce the REPACK command
Ilya Kosmodemiansky: An Ultimate Guide to Upgrading Your PostgreSQL Installation: From 17 to 18
PostgreSQL major version upgrades are one of those tasks that every DBA has to deal with regularly. They are routine — but they are also full of small, potentially dangerous details that can turn a straightforward maintenance window into an incident. Having performed hundreds of upgrades across different environments over the years, I want to share a comprehensive, practical guide to upgrading from PostgreSQL 17 to 18, with particular focus on what has changed and what has finally improved in the upgrade process itself.
Robert Haas: Hacking Workshop for April/May 2026
I'm planning to hold a single hacking workshop for April and May combined, covering Masahiko Sawada's talk, Breaking away from FREEZE and Wraparound, given at PGCon 2022. If you're interested in joining us, please sign up using this form and I will send you an invite to one of the sessions. Thanks to Sawada-san for agreeing to join us.
Read more »Hubert 'depesz' Lubaczewski: Waiting for PostgreSQL 19 – Allow table exclusions in publications via EXCEPT TABLE.
Ibrar Ahmed: RAG With Transactional Memory and Consistency Guarantees Inside SQL Engines
Most RAG systems were built for a specific workload: abundant reads, relatively few writes, and a document corpus that doesn't change much. That model made sense for early retrieval pipelines, but it doesn't reflect how production agent systems actually behave. In practice, multiple agents are constantly writing new observations, updating shared memory, and regenerating embeddings, often at the same time. The storage layer that worked fine for document search starts showing cracks under that kind of pressure.The failures that result aren't always obvious.
Ryan Lambert: Local LLM with OpenWeb UI and Ollama
Like much of the world, I have been exploring capabilities and realities of LLMs and other generative tools for a while now. I am focused on using the technology with the framing of my technology-focused work, plus my other common scoping on data privacy and ethics. I want basic coding help (SQL, Python, Docker, PowerShell, DAX), ideation, writing boilerplate code, and leveraging existing procedures. Naturally, I want this available offline in a private and secure environment.
Jimmy Angelakos: SCaLE 23x and CloudNativePG: Robust, Self-Healing PostgreSQL on Kubernetes
Obligatory selfie from SCaLE 23x
The 23rd edition of the Southern California Linux Expo, or SCaLE 23x, took place from March 5-8, 2026, in Pasadena, California. It was another fantastic community-run event with talks you don't get to hear anywhere else, and that incredible open-source community spirit.
Hubert 'depesz' Lubaczewski: Waiting for PostgreSQL 19 – Add non-text output formats to pg_dumpall
Noémi Ványi: We skipped the OLAP stack and built our data warehouse in vanilla Postgres
Hamza Sajawal: pgNow Instant PostgreSQL Performance Diagnostics in Minutes
pgNow is a lightweight PostgreSQL diagnostic tool developed by Redgate that provides quick visibility into database performance without requiring agents or complex setup. It connects directly to a PostgreSQL instance and delivers real-time insights into query workloads, active sessions, index usage, configuration health, and vacuum activity, helping DBAs quickly identify performance bottlenecks.
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