Last week we explored using Postgres as a central communication nexus between several data sources. At the time, I made a fairly hand-wavy allusion to REST interfaces. Since I hadn’t really explored further, I had assumed PLV8 could use core node.js or other similar libraries to invoke HTTP APIs. Of course as a trusted language, PLV8 isn’t allowed to do that. It’s more of a language for easily manipulating JSON and JSONB objects within Postgres.
Now that we know how Postgres window functions work, why not play with them a bit to get a better understanding of their capabilities? So long as we understand window functions are applied after data gathering and aggregation steps, much of their mystery and complexity is defanged. Let’s start actually using them for stuff! Captain Murphy is tired of your nonsense (Note: I’m a bit under the weather today, so this Phriday will probably be a bit truncated and potentially incoherent thanks to the drugs.
I’ll be the first to admit that I found Postgres window functions fantastically confusing when I first encountered them. They’re a powerful and versatile tool for building reports and summaries, but that functionality hides behind a fairly steep learning curve. One of the ways to combat their inherent complexity is to fully explore how they work, instead of just trying to wrap our heads around the expected results. Window doggies have gotten decidedly smug
There are a lot of languages available for authoring Postgres functions, but there’s nothing quite like the the classic PL/pgSQL. It’s SQL! It’s not SQL! It’s a kind of horrifying mutant crossbreed suitable only for terrifying small children and generating complex reports from a cavalcade of dubious sources! And deep within its twisted entrails is an often overlooked feature usually only available in far more mature entities. That’s right, it’s obvious we’re referring to the ASSERT statement.