Skip to content
DataOps.live Professional EditionNEW
Purpose-built environment for small data teams and dbt Core developers.
DataOps.live Enterprise Edition
DataOps.live is the leading provider of Snowflake environment management, end-to-end orchestration, CI/CD, automated testing & observability, and code management, wrapped in an elegant developer interface.
Spendview for Snowflake FREE

An inexpensive, quick and easy way to build beautiful responsive website pages without coding knowledge.


Pricing and Edition

See whats included in our Professional and Enterprise Editions.

Getting Started
Docs- New to DataOps.liveStart learning by doing. Create your first project and set up your DataOps execution environment.
Join the Community
Join the CommunityFind answers to your DataOps questions, collaborate with your peers, share your knowledge!
#TrueDataOps Podcast
#TrueDataOps PodcastWelcome to the #TrueDataOps podcast with your host Kent Graziano, The Data Warrior!
Academy
DataOps AcademyEnroll in the DataOps.live Academy to take advantage of training courses. These courses will help you make the most out of DataOps.live.
Resource Hub
On-Demand Resources: eBooks, White Papers, Videos, Webinars

Learning Resources
A collection of resources to support your learning journey.

Customer stories
Events
Connect with fellow professionals, expand your network, and gain knowledge from our esteemed product and industry experts.
#TrueDataOps.org
#TrueDataOps.Org#TrueDataOps is defined by seven key characteristics or pillars:
Blogs
Stay informed with the latest insights from the DataOps team and the vibrant DataOps Community through our engaging DataOps blog. Explore updates, news, and valuable content that keep you in the loop about the ever-evolving world of DataOps.
In The News

In The News

Stay up-to-date with the latest developments, press releases, and news.
About Us
About UsFounded in 2020 with a vision to enhance customer insights and value, our company has since developed technologies focused on DataOps.
Careers

Careers

Join the DataOps.live team today! We're looking for colleagues on our Sales, Marketing, Engineering, Product, and Support teams.
DataOps.liveJan 25, 2021 6:20:50 PM3 min read

Part 4: Declarative vs Imperative: Introduction

This series of blog posts builds on our previous set on The Challenges of Repeatable and Idempotent Schema Management:

This next series of blog posts discuss different approaches to the Management of Database Schemas and the wider topic of Database Object Lifecycle Management, which covers not just data-carrying elements, but all Objects and Relationships in a Database, including tables, views, users, roles, functions, etc. These are handled in Databases as Data Definition Language (DDL) statements (as opposed to Data Manipulation Language (DML), which are the statements for actually adding/removing/updating the data within the Database).

Imperative vs Declarative

In all domains of technology (not just data), there are two fundamental concepts about how you define the change in the state of a system, declarative vs. imperative.

In a declarative approach, you say WHAT you want the state of the system to be but NOT HOWthe engine that implements the declarative definition is responsible for turning the WHAT into the HOW.

Declarative example: 221b Baker Street, Marylebone, London

In an imperative approach, you DON’T define WHAT to achieve, just HOW to achieve it.

Imperative example: face north, walk 1.2 miles, turn right onto Oxford Street, walk 200 yards, turn left, and then it’s 245 ft on the right.


This is full of verbs or actions, “turn” and “walk”since this approach defines the HOW. One clear difference here is an imperative approach relies on a knowledge of the start point or the current state. The Imperative example above really only works from a single location/state. Following these steps from any other location will not result in the desired end state. In fact, very likely these steps can’t even be followed at allif my starting location/state is Brisbane, Australia, I can “face north” and “walk 1.2 miles”, but I won’t be able to “turn right onto Oxford Street”at that point, everything fails, and I’m in an unknown/undefined state.

There are numerous other sources to read about this at different levels of detail. However, one factor that most of these misses is that the imperative and declarative are not two binary options; they are a spectrum. Consider this approach:

Example: Head to London, and when you get there, head to Marylebone station. Head west until you get to Baker Street. Turn right and head north approx. 0.4 miles until you see the London Beetles Store, and 221b Baker street is the next building.


This is a hybrid approachit’s clearly not a fully declarative approachthere are some explicit steps, but nothing as prescriptive as the imperative approach, but a lot more HOW than the declarative approach. This demonstrates that fully imperative and fully declarative are two points on a continuous spectrum. One interesting observation is that this hybrid approach is much more like human beings working in the real world. It’s a pragmatic mix that will achieve the desired end state from pretty much any start state, but requires a lot less expertise or work on behalf of the traveler.

Declarative Compiler

In the Declarative Example approach, “221b Baker Street, Marylebone, London” is almost impossible to be used directly by anyoneit serves as a great definition of the end state, but I need to use a Declarative Compiler to turn that into something I can use. What could I use in this case? Google Maps™ would work:

Figure 1 - Google Maps as an Example Declarative Compiler
Figure 1Google Maps as an Example Declarative Compiler


This is just a set of clear, step-by-step instructionspretty imperative! When we passed a Declarative goal into the Declarative Compiler, we got a set of Imperative steps.

Figure 2 - Declarative Compiler
Figure 2 - Declarative Compiler


This is true of virtually all systems, human or machine. At their core, they follow a set of instructions and can only follow a set of instructions. This allows us to look at a Declarative definition not as competing with an Imperative definition, but rather as a higher level of abstraction. Systems take Imperative instructions, we can either provide those directly or define them in a Declarative way and use a compiler to turn this into a set of Imperative instructions, which are then executed by the system.

RELATED ARTICLES