Category: Databases

Managing Postgres with Pulumi and Terraform

Adventures with Infrastructure as Code

I’m a big fan of Pulumi, and I’ve previously used it for cloud infrastructure. That’s their main selling point; Pulumi’s slogan is literally “Program the cloud.” Interestingly, Pulumi can also be used to manage on-premise infrastructure, including PostgreSQL databases. Let’s dive into the details.

Pulumi takes a declarative infrastructure definition and handles provisioning said infrastructure, just like Terraform, AWS CloudFormation, and Azure Resource Manager. The main difference is that in Pulumi you’re writing real code (Node, Python, or Go) to build that infrastructure definition instead of a YAML or JSON file, it’s great.

Relational Database History

1983 called. They said SQL needs a makeover

I recently read 2 papers that I’d highly recommend if you ever wonder about the underpinnings of modern relational databases:

This is an opinionated history of database architectures from roughly 1970 to 2005, and it’s got some serious credentials behind it – Michael Stonebraker was the driving force behind Postgres and many other things. It’s an easy read, and it’s a good explanation of how relational DBs and SQL came to (mostly) rule the world. It was written amidst a lot of hype over XML databases, and it (rightly, in retrospect) critiques XML DBs and suggests that they won’t see much commercial adoption.

Quick T-SQL Regression Testing


Here’s something I’ve found useful in SQL Server, but it should apply in any DBMS with checksum functions. Next time you’re refactoring some database objects and you want to do some regression testing, give the CHECKSUM (MSDN) and CHECKSUM_AGG (MSDN) functions a try.

They behave pretty much as you would expect; CHECKSUM returns 1 checksum given 1 row, and CHECKSUM_AGG is an aggregate function that returns 1 checksum given multiple checksum rows. Between the two of them, you can get a checksum for any arbitrary collection of data:

Databases as file formats

The .mbtiles way

I’m building an interactive online map of all properties in Vancouver, and along the way there have been a few pleasant surprises. Most recently: the .MBTiles tileset format is surprisingly cool.

Mapbox is one of the biggest players in the open source mapping space (especially now that Mapzen and Carto have thrown in the towel – Mapzen is closing and Carto is now using Mapbox tech). One of the many nice things about Mapbox is that they developed an efficient open standard for vector map tiles, appropriately named Mapbox Vector Tiles (read this if you’re not sure why vector tiles are great).


Cities & Code

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I'm a software engineer in Vancouver, Canada. I'm interested in databases, urban planning, computing history, and whatever else catches my fancy.

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