Neues vom PostgreSQL Planet

As promised in the CFP for POSETTE: An Event for Postgres 2024, all of the talk selection decisions were emailed out on April 17th. Our talk selection work has now concluded, with the possible exception of accepting proposals from the Reserve list.

Last week I appeared on s02e03 of the Hacking Postgres podcast.

The experience I had after my independent Consulting gig for 10 years working in companies was, like, bringing up other people and being supportive of other people and hearing from a diversity of voices and perspectives makes everything better.

PGDay UK 2024 will take place in London on September 11th at the Cavendish Conference Centre, London, UK.

Our Call for Papers and Call for Sponsors are now open.

We are accepting proposals for talks in English. Each session will last 50 minutes, and may be on any topic related to PostgreSQL. The submission deadline is 9th June 2024 23:59:59 BST. Selected speakers will be notified on or before July 1st, 2024. Please submit your proposals here:

https://2024.pgday.uk/call-for-papers/

The first two articles in this series demonstrated how PostgreSQL is a capable tool for ELT – taking raw input and transforming it into usable data for querying and analyzing. We used sample data from the Advent of Code 2023 to demonstrate some of the ELT techniques in PostgreSQL.

Sometimes it happens: I write something in a rush, and present it in a not-optimal way. And then I get advices!

Using PL/Java: need for clarifications

On January, I wrote an article about installing PL/Java on Rocky Linux, and about some of the difficulties I had in achieving a fully operational installation, even if I did not dig enough into the problems that I encountered.

pg_tle - A Must-Know for DevelopersPostgreSQL is a fantastic database, packed with features. But sometimes, you need to add a little something extra – a custom function, a specialized data type, or maybe a procedure written in your favorite programming language. That's traditionally where PostgreSQL extensions come in. But for developers working with managed databases (like Amazon RDS),

What is Visibility?

Simply put, the visibility refers to whether a row of data (Heap Tuple by default) should be displayed to the user in certain states, backend processes, or transactions.

For example,

1. Overview

In my previous blogs, I discussed Setting up a debugging environment in PostgreSQL to better understand OpenSSL APIs, Enhance PostgreSQL TLS Security with OCSP Stapling, and How to setup TLS connection for PostgreSQL.

You could be saving money every month on databases costs with a smarter data retention policy. One of the primary reasons, and a huge benefit of partitioning is using it to automatically archive your data. For example, you might have a huge log table. For business purposes, you need to keep this data for 30 days. This table grows continually over time and keeping all the data makes database maintenance challenging. With time-based partitioning, you can simply archive off data older than 30 days.

We explore PostgreSQL Internals in detail - its processes, architecture, the different types of processes available, and their respective responsibilities.

The post PostgreSQL Internals Part 3: Understanding Processes in PostgreSQL appeared first on Stormatics.

In a PostgreSQL database, sequences provide a convenient way to generate a unique identifier, and are often used for key generation. From the community, PostgreSQL provides functions and SQL language to help manage sequence generation, but the sequences themselves are not without limitations in a multi-master environment.

Last Friday (April 12, 2024) happened, with a record of 270 registrations, the 8th annual PGConf.DE in Munich, Germany.

There definitely was a great lineup: 1 German track, 2 English tracks and 1 sponsors track.

As the two talks I had submitted did not get picked for this year´s PGconf.de, my prep for the conference was all about booking train tickets from Düsseldorf to Munich. Being an early bird definitely paid off – Bernd Helmle and I enjoyed first class luxury, while our procrastinating colleagues ended up paying more for second-class seats.

The news today is that GQL:2024, the first version of the GQL standard, has been published by ISO. GQL is a new language for graph databases, like SQL is for relational databases.

Here is the link to it on the ISO web site:

• ISO/IEC 39075:2024

This is the culmination of work that has been going on formally within ISO since 2019 and for several years more before that in preparation. (There was even a manifesto! How can you go wrong?)

I won’t be able to attend Magnus’ talk at PG Day Chicago because it is scheduled at the same time as my talk, but fortunately, I attended his talk at SCaLe. There are several features I am really excited about, and I can’t wait to start using them!

This is the second article in a series that explores advanced strategies for scaling PostgreSQL databases in Kubernetes with the help of CloudNativePG. This article focuses on horizontal table partitioning and tablespaces and how they can be used to manage large datasets. By partitioning tables based on specific criteria and optimising storage with tablespaces, PostgreSQL users can achieve better scalability and performance in cloud-native environments, just like they could in traditional VMs or bare metal deployments.

This post looks at some interesting new capabilities managing Partitioned Tables coming in PostgreSQL 17, expected for release Fall 2024. The current major version is 16.

Current Table Partition Commands

Prior to Version 17, workflow options for partition management are limited to creating, attaching, and detaching partitions.

Once we’ve designed our partition structure, we couldn’t redesign it in place.

Why do we need vector databases? The proliferation of embeddings immediately brought forth the need to efficiently store, index, and search these arrays of floats. However, these steps are just a small piece of the overall technology stack required to make use of embeddings. The task of transforming source data to embeddings and the serving of the transformer models that make this happen is often left as a task to the application developer. If that developer is part of a large organization, they might have a machine learning or data engineering team to help them.

Coming up this week: the fourth installment of the Postgres extension ecosystem mini-summit. The topic: Trusted Language Extensions, a.k.a. TLEs.

Any database engine, including PostgreSQL, requires some routine maintenance to ensure optimal performance. Especially when there are massive delete or purge operations to delete rows from a Table, the fragmentation builds up within a table. Reclaim this fragmented space from disk requires a table to be rebuilt. At HexaCluster, we had many Customers asking us […]