dbt-unit-testing
integresql
| dbt-unit-testing | integresql | |
|---|---|---|
| 7 | 6 | |
| 440 | 776 | |
| 1.4% | 0.0% | |
| 3.5 | 8.9 | |
| 5 months ago | over 1 year ago | |
| Shell | Go | |
| MIT License | MIT License |
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For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
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
integresql
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Show HN: PGlite – in-browser WASM Postgres with pgvector and live sync
I'm bothering the PGLite team a lot to help us enable this :-)
We have different options like embedded-postgres or integreSQL, but none match the simplicity of PGLite. I hope this wish comes true soon.
https://github.com/fergusstrange/embedded-postgres/tree/mast...
https://github.com/allaboutapps/integresql
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Mock unit test an API that uses postgres or integration test API with a "test" database?
For the case of PostgreSQL I've found IntegreSQL and its Javascript client really helpful because it can create a copy of the database per test case, which it helps to write integration tests with real DB calls.
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Mocking database calls without a library?
Mocking has some advantages, but so does using a real database, at work we use https://github.com/allaboutapps/integresql and I quite like the approach that integresql has, since it makes possible to have a fresh database with your dummy data for every test without impacting the execution speed (compared to dropping an re-creating the database).
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Ask HN: How do you test SQL?
Happy to hear that! When it comes to testing services that depend on PostgreSQL, this is still my preferred solution.
https://github.com/allaboutapps/integresql
disclaimer: author
- IntegreSQL – isolated PostgreSQL databases for integration tests
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Pg_tmp – Run tests on an isolated, temporary PostgreSQL database
I haven't had a change to try it yet, but IntegreSQL[0] looks like this on steroids. It allows you to create a template (runs migrations and seed dates), and then uses Postgres's built in cloning functionality to maintain a pool of fresh databases. They claim 500ms to clone a database without the pool, and that the pool pretty much hides the latency entirely.
[0]: https://github.com/allaboutapps/integresql
What are some alternatives?
sqlglot - Python SQL Parser and Transpiler
otj-pg-embedded - Java embedded PostgreSQL component for testing
SS-Unit - A 100% T-SQL based unit testing framework for SQL Server
rush - Production-driven prototyping. This starter is setup in a production-friendly way and will setup tests + dev environment exactly like a live project will work. Works the same both on your laptop or Github CI, so you can go from hacking on your laptop to a full gitops environment.
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]
spawn-demo - Demo application to show how Spawn can be integrated in Development and CI