37 Articles tagged “Extensions”

Postgres has extensions, and that’s awesome! Of course as the author of CREATE EXTENSION I’m a little biased… just remember that the ability to extend Postgres is way more than just this command. The whole database system has been design from the ground up to allow for extensibility. Parts of the design is to be found in the way you can register new objects at runtime: functions of course, and also data types, operators, index support structures such as operator classes and families, even index access methods!

Today’s article shows a query that you can use to list those tables in your schemas that are using a data type which is provided by an extension.

We have loaded Open Street Map points of interests in the article The Most Popular Pub Names — which compares PostgreSQL with MongoDB for simple geographical queries, and is part of our PostgreSQL Extensions article series. In today’s article, look at how to geolocalize an IP address and locate the nearest pub, all within a single SQL query!

For that, we are going to use the awesome ip4r extension from RhodiumToad.

Back from the FODESM 2014 Conference, here’s the slides I’ve been using for the Advanced Extension Use Cases talk I gave, based on the ongoing work to be found under the Tour of Extensions index in this web site. If you’re interested into the talk contents, then you might be interested into the following list of articles where I actually did all the work leading to the slides in the above PDF:

Last week I had the pleasure to present two talks at the awesome PostgreSQL Conference Europe. The first one was actually a tutorial about Writing & using Postgres Extensions where we spent 3 hours on what are PostgreSQL Extensions, what you can expect from them, and how to develop a new one. Then I also had the opportunity to present the new version of pgloader in a talk about Migrating from MySQL to PostgreSQL.

In our Tour of Extensions today’s article is about advanced tag indexing. We have a great data collection to play with and our goal today is to be able to quickly find data matching a complex set of tags. So, let’s find out those lastfm tracks that are tagged as blues and rhythm and blues, for instance. We’re going to use the Last.fm dataset from the Million Song Dataset project here.