dbt-unit-testing
SS-Unit
| dbt-unit-testing | SS-Unit | |
|---|---|---|
| 7 | 1 | |
| 440 | 10 | |
| 1.4% | - | |
| 3.5 | 10.0 | |
| 5 months ago | over 5 years ago | |
| Shell | TSQL | |
| MIT License | MIT License |
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dbt-unit-testing
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The SQL Unit Testing Landscape: 2023
If you use dbt for transformations Dbt Unit Testing (https://github.com/EqualExperts/dbt-unit-testing) is getting some attention (https://www.thoughtworks.com/radar/languages-and-frameworks?blipid=202304042)
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Data-eng related highlights from the latest Thoughtworks Tech Radar
dbt-unit-testing
- I'm not getting it...what's the point of DBT?
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Ask HN: How do you test SQL?
We use this and take an example-based tests approach for any non-trivial tables: https://github.com/EqualExperts/dbt-unit-testing
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SQL should be your default choice for data engineering pipelines
> How do you test some SQL logic in isolation?
I do this using sql
1. Extracting an 'ephemeral model' to different model file
2. Mock out this model in upstream model in unit tests https://github.com/EqualExperts/dbt-unit-testing
3. Write unit tests for this model.
This is not different than regular software development in a language like java.
I would argue its even better better because unit tests are always in tabular format and pretty easy to understand. Java unit tests on other hand are never read by devs in practice.
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Unit testing with dbt
I haven't done it yet but there are some popular blogs as well as a DBT package someone created.
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Modern Data Modeling: Start with the End?
> I really don’t understand the communities obsession with unwieldy tools like DBT.
It lets me write test first sql transforms. I never thought TDD sql would be possible. My sql is so much more readable with common logic extracted into ephmeral models. I practice same method to write clear code to write sql, eg: too many mocks = refactor into separate model ( class) .
I think DBT made this possible with refs that can be swapped out with mocks. This is the awesome library I am using https://github.com/EqualExperts/dbt-unit-testing
SS-Unit
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Ask HN: How do you test SQL?
Back in the mid-noughties I decided to see if I could write SQL in a test-first manner (i.e. TDD). This resulted in me writing a 100% T-SQL based unit testing framework for SQL Server [1] which we then used for the SQL back-end at an investment bank.
On the back on that professional use I wrote a blog post [2] explaining why you might choose to go down this route as it wasn't the way database was developed way back then (SQL wasn't developed in the same way as the other front-end and back-end code).
A few years later I gave a short 20-minute talk (videoed) to show what writing SQL using TDD looked like for me. It's hard to show all the kinds of tests we wrote in practice at the bank but the talk is intended to show how rapid the feedback loop can be using a standard DB query tool and two code windows - production code and tests.
Be kind, it was a long time ago and I'm sure the state of the art has improved a lot in the intervening years :o).
Chris Oldwood
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[1] SQL Server Unit: https://github.com/chrisoldwood/SS-Unit
[2] You Write Your SQL Unit Tests in SQL?: https://chrisoldwood.blogspot.com/2011/04/you-write-your-sql...
[3] Test-Driven SQL: https://www.youtube.com/watch?v=5-MWYKLM3r0
What are some alternatives?
sqlglot - Python SQL Parser and Transpiler
integresql - IntegreSQL manages isolated PostgreSQL databases for your integration tests.
datajudge - Assessing whether data from database complies with reference information.
hash-db - Experimental distributed pseudomultimodel keyvalue database (it uses python dictionaries) imitating dynamodb querying with join only SQL support, distributed joins and simple Cypher graph support and document storage [GET https://api.github.com/repos/samsquire/hash-db: 404 - Not Found // See: https://docs.github.com/rest/repos/repos#get-a-repository]