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I loved joining Jeremy Smith and Jess Brown as a guest on the IndieRails podcast!

I hope you enjoy this episode write-up, and I’d love to hear your thoughts or feedback.

PostgreSQL 17 Beta was released on May 23, 2024, introducing a host of exciting new features anticipated to be part of the official PostgreSQL 17 release. In this blog series, we’ll delve into these features and explore how they can benefit database developers and migration engineers transitioning to the latest PostgreSQL version.

First part of the blog is on newer features with PL\pgSQL – Procedural language in PostgreSQL 17.

Invitation from James Blackwell-Sewell

I had the unexpected pleasure of meeting James when we worked together at Timescale. He’s a delightful chap, a great teacher and mentor in all things Postgres, and continues to help push things forward in the world of time-series data on the most advanced open-source, relational database in the world!

Learn how the combination of ORDER BY and LIMIT clauses in PostgreSQL affects query performance, and discover optimization techniques to maintain efficient database performance and fast query responses.

The post Performance impact of using ORDER BY with LIMIT in PostgreSQL appeared first on Stormatics.

The story goes almost two decades back. I was studying computer engineering in College of Engineering Pune. Prof Vinayak Joshi had recently joined COEP and had research interest in discrete mathematic, especially Lattices. He needed some software for exploring some patterns in graphs. Matlab, though almost three decades old by then, was new to us and quite expensive.

 I needed to summarize number of bugs per week per user

I think 2024.pgconf.dev was a great event. I am really grateful to the organizing team for all the work that they did to put this event together, and I think they did a great job. I feel that it was really productive for me and for the PostgreSQL development community as a whole. Like most things in life, it was not perfect. But it was really good, and I'm looking forward to going back next year.

This is the third and final instalment of "Deep Dive into PostgREST". In the first part, we explored basic CRUD functionalities. In the second part, we moved forward with abstraction and used the acquired knowledge to create a simple request/approval workflow.

In Part 3, we will explore authentication and authorisation options to finish something that might resemble a real-world application.

There are quite a number of methods these days for installing Patroni. I want to discuss the next step, which is how to start tuning a running system.The manner of updating a running Postgres server typically involves editing the standard Postgres files: postgresql.conf postgresql.auto.conf pg_hba.conf Working with a Patroni HA cluster, one has the added […]

Now in its 3rd year, POSETTE: An Event for Postgres 2024 is not only bigger than previous years but some of my Postgres friends who are speakers tell me the event is even better than past years. Sweet.

Formerly called Citus Con (yes, we did a rename), POSETTE is a free and virtual developer event happening Jun 11-13 that is chock-full of Postgres content—with 4 livestreams, 42 talks, and 44 speakers.

Learn how reliable backups in PostgreSQL can help financial organizations maintain data integrity, comply with regulations, and ensure business continuity.

The post Reliable Backups in PostgreSQL – Another Critical Requirement for Financial Organizations appeared first on Stormatics.

Relational databases provide one very essential functionality which is key to integrity, data quality and consistency: foreign keys. If you want to build a professional application that relies on correct data, there is basically no way around the concept of referential integrity. The same is, of course, true in PostgreSQL.

Foreign keys and circular dependencies

However, there is a corner case many people are not aware of: circular dependencies. Now, how can that ever happen? Consider the following example which has been tested in PostgreSQL:

PGConf.dev 2024 is over. What happened while no one was watching the source code?

Nothing!

Last Friday I posted:

After that, I was up all night (not really) trying to compute this correctly in SQL. And then I figured I might as well wait until the streak is broken, which has happened now.

Here is what I came up with.

First, load a list of all commits into a table.

pgsql_tweaks is a bundle of functions and views for PostgreSQL

The soucre code is available on GitLab, a mirror is hosted on GitHub.
One could install the whole package, or just copy what is needed from the source code.

The extension is also available on PGXN.

General changes

In this release has been tested against PostgreSQL 17 beta 1..

Multi-tenancy/co-hosting is always challenging. Running multiple PG instances could help to reduce the internal contention points (scalability issues) within PostgreSQL. However, the load caused by one of the tenants could affect other tenets, which is generally referred to as the “Noisy Neighbor” effect. Luckily, Linux allows users to control the resources consumed by each program […]

RAG (Retrieval Augmented Generation) apps are really popular right now, and we decided to develop one exclusively using Postgres and pgvector, without the need for any extra frameworks. In this blog post, I will break down how to build a RAG app from scratch, share the fundamental elements of building a RAG app and offer some helpful tips along the way.

Of late, I've been falling down a bunch of geospatial rabbit holes. One thing has remained true in each of them: it's really hard to debug what you can't see.

Not every database-backed application needs to be locked down like Fort Knox. Sometimes there are even roles that leverage blanket access to large swathes of available data, if not every table, simply for auditing or monitoring purposes. Normally this would require quite a bit of preparation or ongoing privilege management, but Postgres came up with a unique solution starting with version 14: predefined roles. This topic comes up relatively frequently in Postgres chats like Discord, Slack, and IRC.

In the evolving world of data management, ensuring consistency and accuracy across multiple database systems is paramount. Whether you're migrating data, synchronizing systems, or performing routine audits, the ability to compare data across different database platforms is crucial. Enter pgCompare, an open-source tool designed to simplify and enhance the process of data comparison across PostgreSQL, Oracle, MySQL, and MSSQL databases.

The key features of pgCompare: