flyway-spawn-demo
integresql
| flyway-spawn-demo | integresql | |
|---|---|---|
| 14 | 5 | |
| 5 | 711 | |
| - | 3.8% | |
| 0.0 | 8.9 | |
| about 1 year ago | 3 months ago | |
| PLpgSQL | Go | |
| Apache License 2.0 | MIT License |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
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.
flyway-spawn-demo
- Deploying data across environments
- Looking for opinions on spinning up dev/staging environment databases.
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Creating a Basic CI/CD Pipeline
I used to run databases as containers but then had to manage data seeding as well. Checkout a very handy tool called Spawn
- Database for every PR
- Ephemeral... data?
- Database Image as a service. What do you think?
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How to get realistic datasets into GitHub codespaces?
Over at Spawn we've been really excited to see the rise of GitHub Codespaces. We're looking forward to hearing about all the exciting improvements that have been made to development processes as a result (like GitHub's own engineering team's improvements!).
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Going all-in on cloud-based development with realistic databases
Over at Spawn we've been really excited to see the growth of Gitpod. We put together this article discussing remote development through 2020 and 2021 and how cloud-based development environments are an excellent alternative to consider over other options.
- Show HN: Spawn – Throwaway Databases for CI and Development
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Development databases in Docker aren’t good enough
We've explored migration issues and how running schema migration tests in CI can help in this repo: https://github.com/red-gate/flyway-spawn-demo
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?
testcontainers-go - Testcontainers for Go is a Go package that makes it simple to create and clean up container-based dependencies for automated integration/smoke tests. The clean, easy-to-use API enables developers to programmatically define containers that should be run as part of a test and clean up those resources when the test is done.
otj-pg-embedded - Java embedded PostgreSQL component for testing
localstripe - A fake but stateful Stripe server that you can run locally, for testing purposes.
spawn-demo - Demo application to show how Spawn can be integrated in Development and CI
entr - Run arbitrary commands when files change
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.
django-blog