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PgBouncer is probably the most popular connection pooler for Postgres. It is essentially a transparant middleware between clients and the server. However, it is not %100 transparent in practice. There are a few intricacies that should be taken into account when using PgBouncer. One such consideration is that PgBouncer does not support the use of all session variables in transaction pooling mode. This lack of support is one of the reasons that the most commonly used transaction pooling mode is not fully compatible with Postgres.

Row-level security (RLS) in Postgres is a feature that allows you to control which rows a user is allowed to access in a particular table. It enables you to define security policies at the row level based on certain conditions, such as user roles or specific attributes in the data. Most commonly this is used to limit access based on the database user connecting, but it can also be handy to ensure data safety for multi-tenant applications.

Understand how SELECT * can be bad for database performance...

The post Pitfalls of using SELECT * appeared first on Stormatics.

Learn to manage roles and privileges in PostgreSQL, covering databases, schemas, and other objects level privileges.

The post PostgreSQL Roles and Privileges Simplified appeared first on Stormatics.

There is an ongoing and engaging open discussion in the Postgres Community around the future of Postgres extensions. At OnGres we have been operating for around three years a Postgres distribution and repository with around 200 extensions for StackGres, a fully-featured open source platform for self-hosting Postgres on Kubernetes.

There is an ongoing and engaging open discussion in the Postgres Community around the future of Postgres extensions. At OnGres we have been operating for around three years a Postgres distribution and repository with around 200 extensions for StackGres, a fully-featured open source platform for self-hosting Postgres on Kubernetes.

Since writing about jobs to be done last month, work has continued apace on the project now code-named “PGXN v2”. This effort has encompassed investigating a number of technical questions and decisions, with a few essays and RFCs circulated amongst the PostgreSQL community, as well as a series of talks and discussions around these issues. Here’s a quick update.

These days everybody is talking about time series, time series analysis and alike for performance tuning. Analyzing time series data in PostgreSQL can provide valuable insights, help in making informed decisions and understanding data more deeply. By utilizing PostgreSQL’s powerful features, we can efficiently query all types of measurement data to track trends, patterns, and anomalies over time. However, often there is a tiny little requirement, people are struggling to understand. Consider the following data:

© Caroline Albe 2024

 

Logging to syslog is not a new PostgreSQL feature at all. Still, I find few people using it, so perhaps an introductory tutorial will be helpful. Since today’s Linux distributions normally use journald for logging, I’ll focus on that.

Syslog terminology

Syslog is the de-facto logging standard on Unix systems. A syslog daemon receives messages from processes and processes them according to its configuration.

Quit reminder that Devrim Gündüz of EnterpriseDB will be giving a talk at this week’s extension ecosystem mini-summit, an overview of the PostgreSQL Yum Repository architecture, how new RPMs are added, and issues and

Introduction Logical Replication is one of the many ways a Postgres database can replicate data to other Postgres database (a.k.a standby). Logical replication directly reads from the write-ahead log (WAL), recording every database change, avoiding t...

Introduction In my previous post A Brief History of Logical Replication in Postgres — and Looking Ahead at its Likely Future Evolution, I provided a retrospective journey of the logical replication feature in PostgreSQL, starting from Postgres 9.6, where some of the building blocks were laid down.

I am really excited about the PG Day Chicago schedule! As I mentioned multiple times, I am immensely grateful to our amazing program committee, especially to the committee chair, Karen Jex. Now, I want her to chair all our CfP committees (at least as long as I am in charge:)).

Please RSVP on Meetup https://www.meetup.com/pdxpug/events/300096141/ so we have an idea how many folks are attending!

Date: Thursday April 18th, 2024
Time: 6:30pm to 8:30pm US Pacific

Location:
American Red Cross
3131 N Vancouver Ave, Portland, OR 97227

Speaker: Mark Wong

Has it really come to this? AI is everywhere these days Postgres and AI go together like elephants and chocolate. At first glance, it seems like a silly combination. Postgres is an RDBMS for storing data with ACID compliance, functions, views, and maybe some extensions or foreign data wrappers. Where is room for AI in that? It may be trendy to take something, rub some AI on it, and then declare it a breakthrough technology, but that isn’t necessarily reality.

Introduction

I shared a patch some time ago that adds a feature on libpq to allow user to supply multiple client certificate pairs. The feature is capable of choosing one client certificate to send to the server (if it requests one) based on the server’s trusted CA certificate settings during TLS handshake. Refer to this blog here that explains more on the principles of chains of trust.

TL;DR: I’d like Postgres community input on a decision: Should we build PGXN v2 services and tools in Go or Rust? Context for the question and some weighing of options constitutes the rest of this post, but to skip to the end, 🗳️ Vote your choice! Poll closes April 12 at the end of the day (midnight) New York time.

Discover the latest in pgvector 0.6: Parallel Index Building for HNSW. Learn how this major update speeds up index creation in Postgres.

The post Build HNSW 80% Faster with Parallel Index Build in pgvector appeared first on Stormatics.

I recently got my very first patch into PostgreSQL! To be clear I'm not a C developer and didn't contribute some fancy new feature. However, I do love Postgres and wanted to contribute. Here's my journey and what I learned along the way.

Postgres engineers at Fujitsu have been contributing to the community to enhance OSS PostgreSQL features for enterprise adoption, in the areas such as replication and performance. In this blog, I would like to give you a brief look on how I take on my day-to-day activities and what I am passionate about.