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  • Understanding the Postgres Hackers Mailing List Language

    Greg Sabino Mullane

    The Postgres hackers mailing list ( pgsql-hackers@postgresql.org ) is an invaluable resource for anyone wanting to contribute to the PostgreSQL code. The Postgres project does not use PRs (pull requests) or GitHub issues. So if you want to contribute an idea, or help with code reviews, the hackers mailing list is the canonical way to do so. More information on contributing is on the Postgres wiki at: https://wiki.postgresql.org/wiki/So,_you_want_to_be_a_developer ? My colleague Elizabeth Christ...

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  • Announcing an Open Source Monitoring Extension for Postgres with pgMonitor

    Keith Fiske

    Crunchy Data is pleased to announce a new open source pgMonitor Extension . Crunchy Data has worked on a pgMonitor tool for several years as part of our Kubernetes and self-managed Postgres deployments and recently we’ve added an extension to the tool set. Two primary scenarios motivated the creation of the pgMonitor extension : 1. Quicker Metrics : Monitoring metrics often need quick response times to allow for frequent updates. We've noticed that certain metrics become slower as the datab...

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  • 12 min read

    Postgres Powered by DuckDB: The Modern Data Stack in a Box

    Marco Slot

    Postgres for analytics has always been a huge question mark. By using PostgreSQL's extension APIs, integrating DuckDB as a query engine for state-of-the-art analytics performance without forking either project could Postgres be the analytics database too? Bringing an analytical query engine into a transactional database system raises many interesting possibilities and questions. In this blog post I want to reflect on what makes these workloads and system architectures so different and what br...

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  • Postgres Troubleshooting - DiskFull ERROR could not resize shared memory segment

    Jesse Soyland

    There’s a couple super common Postgres errors you’re likely to encounter while using this database, especially with an application or ORM. One is the PG::DiskFull: ERROR: could not resize shared memory segment. It will look something like this. We see a good amount of support tickets from customers on this topic. If you see this error pass by in your logs. Don’t worry. Seriously. There’s no immediate reason to panic from a single one of these errors. If you’re seeing them regularly or all th...

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  • 10 min read

    Six Degrees of Kevin Bacon - Postgres Style

    Paul Ramsey

    Back in the 1990s, before anything was cool (or so my children tell me) and at the dawn of the Age of the Meme, a couple of college students invented a game they called the " Six Degrees of Kevin Bacon ". The conceit behind the Six Degrees of Kevin Bacon was that actor Kevin Bacon could be connected to any other actor, via a chain of association of no more than six steps. Why Kevin Bacon? More or less arbitrarily, but the students had noted that Bacon said in an interview that "he had worked...

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  • 4 min read

    Thin Provisioning with Crunchy Postgres for Kubernetes

    Greg Nokes

    One of the major changes that the cloud brought to application and database management was the concept of "thin provisioning." With large amounts of compute or storage resources available behind an API, you can provision what you need now and expand your infrastructure as required. Frameworks like 12Factor and Cloud Native emerged to help developers leverage these new paradigms. In the past, these capabilities were only accessible to those leveraging public clouds. On-premises, with lead tim...

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  • 4 min read

    Query Hugging Face Datasets from Postgres

    Elizabeth Christensen

    If you missed the database news lately, you could have missed that we just fused DuckDB with Postgres to build a really fast analytics platform based on Postgres. There’s so many interesting things you can do with this platform so expect to hear from me again 😉. Today I just want to show off one really simple trick for getting big data sets or training data into Postgres through Hugging Face. Hugging Face is a community repository of datasets, LLMs, models and other resources for Machine L...

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  • 7 min read

    Magic Tricks for Postgres psql: Settings, Presets, Echo, and Saved Queries

    Elizabeth Christensen

    As I’ve been working with Postgres psql cli, I’ve picked up a few good habits from my Crunchy Data co-workers that make my terminal database environment easier to work with. I wanted to share a couple of my favorite things I’ve found that make getting around Postgres better. If you’re just getting started with psql, or haven’t ventured too far out of the defaults, this is the post for you. I’ll walk you through some of the friendliest psql settings and how to create your own preset settings file...

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  • 6 min read

    Running TPC-H Queries on Iceberg Tables from PostgreSQL

    Önder Kalacı

    We recently introduced support for querying Iceberg tables from PostgreSQL in Crunchy Bridge for Analytics. Iceberg defines a way to store tables in data lakes (usually as Parquet files in S3) with support for snapshots and other important database features, and it is designed with high performance analytics in mind. If you’re new to Crunchy Bridge, it offers a fully managed PostgreSQL experience. Crunchy Bridge for Analytics extends these capabilities, enabling you to query and interact wit...

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  • 11 min read

    Crunchy Bridge Adds Iceberg to Postgres & Powerful Analytics Features

    Marco Slot

    In April we launched Crunchy Bridge for Analytics , which is a managed PostgreSQL option that enables fast and seamless querying of your data lake. Our initial release was focused on building a rock solid foundation for high performance analytics in PostgreSQL. We have since been hard at work turning it into a comprehensive analytics solution. Our goals in building Crunchy Bridge for Analytics are to: • Make it very easy to query data files (incl. Parquet/CSV/JSON/Iceberg) in object stores like...

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