integresql
dockertest
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integresql | dockertest | |
---|---|---|
5 | 48 | |
710 | 3,967 | |
4.9% | 2.0% | |
8.9 | 3.0 | |
3 months ago | 28 days ago | |
Go | Go | |
MIT License | Apache License 2.0 |
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.
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
dockertest
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Testcontainers
I am using https://github.com/ory/dockertest for tests, specifically for databases. Is there any advantage to use Testcontainers?
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Level UP your RDBMS Productivity in GO
Now, let's run the tests. For this purpose, we are going to use dockertest, but test containers is also a good solution.
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Golang testing using docker services via dockertest
During my path learning go so far I have come across some amazing libraries and utilites, one of my favourite for integration testing is dockertest.
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How to start a Go project in 2023
Things I can't live without in a new Go project in no particular order:
- https://github.com/golangci/golangci-lint - meta-linter
- https://goreleaser.com - automate release workflows
- https://magefile.org - build tool that can version your tools
- https://github.com/ory/dockertest/v3 - run containers for e2e testing
- https://github.com/ecordell/optgen - generate functional options
- https://golang.org/x/tools/cmd/stringer - generate String()
- https://mvdan.cc/gofumpt - stricter gofmt
- https://github.com/stretchr/testify - test assertion library
- https://github.com/rs/zerolog - logging
- https://github.com/spf13/cobra - CLI framework
FWIW, I just lifted all the tools we use for https://github.com/authzed/spicedb
We've also written some custom linters that might be useful for other folks: https://github.com/authzed/spicedb/tree/main/tools/analyzers
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Beginner-friendly API made with Go following hexagonal architecture.
I've used dockertest a bunch and it is really amazing.
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How to unit test your database interactions with Docker
Reminds me of https://github.com/ory/dockertest
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When to mock and what to mock in a Web API?
If your project is relatively simple and you can get away with recreating your scenarios against a real mock database and run other related services locally. It would be good to setup docker containers for your test scripts and write e2e tests. I believe e2e tests are harder but more useful in understanding/reasoning how users are impacted.
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Don't Mock the Database
Just a heads up, the repository in your comment is invalid, the correct link is https://github.com/ory/dockertest
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Mocking database calls without a library?
Don't mock. Use https://github.com/ory/dockertest to actually run tests against a dockerized DB.
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Different SQL drivers for test and production
Use a library like ory/dockertest to spin up a test database for integration tests. It's easy to use, and tests are still fast. It'll take a minute to download the mysql docker image the first time. But, once it's been downloaded, starting the db, running migrations, and running the tests is still pretty quick.
What are some alternatives?
flyway-spawn-demo - CI demo using Flyway and Spawn
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
fake-gcs-server - Google Cloud Storage emulator & testing library.
mockaroo - Mock-A-🦘 (mock-aa-roo) a comprehensive HTTP/HTTPS interface mocking tool for all your development and testing needs!
spawn-demo - Demo application to show how Spawn can be integrated in Development and CI
venom - 🐍 Manage and run your integration tests with efficiency - Venom run executors (script, HTTP Request, web, imap, etc... ) and assertions
entr - Run arbitrary commands when files change
steampipe - Zero-ETL, infinite possibilities. Live query APIs, code & more with SQL. No DB required.
localstripe - A fake but stateful Stripe server that you can run locally, for testing purposes.
go-sqlmock - Sql mock driver for golang to test database interactions