dockertest
Squirrel
Our great sponsors
dockertest | Squirrel | |
---|---|---|
48 | 52 | |
3,927 | 6,452 | |
2.3% | 1.7% | |
4.5 | 2.8 | |
about 1 month ago | about 1 month ago | |
Go | Go | |
Apache License 2.0 | GNU General Public License v3.0 or later |
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.
dockertest
-
Testcontainers
I am using https://github.com/ory/dockertest for tests, specifically for databases. Is there any advantage to use Testcontainers?
I've been using Docker containers for integration testing for last few years. I usually roll my own custom solution in Go using the https://github.com/ory/dockertest package though that adds necessary functionality around running migrations, creating kafka topics, or similar. Will definitely need to check out this next time I'm writing a test package
-
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.
-
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.
-
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
-
Beginner-friendly API made with Go following hexagonal architecture.
I've used dockertest a bunch and it is really amazing.
-
How to unit test your database interactions with Docker
Reminds me of https://github.com/ory/dockertest
-
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.
-
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
-
Mocking database calls without a library?
Don't mock. Use https://github.com/ory/dockertest to actually run tests against a dockerized DB.
Squirrel
-
Building RESTful API with Hexagonal Architecture in Go
It uses Gin as the HTTP framework and PostgreSQL as the database with pgx as the driver and Squirrel as the query builder. It also utilizes Redis as the caching layer with go-redis as the client.
-
Working with postgres in GO.
I would add Squirrel to PGX https://github.com/Masterminds/squirrel
-
how to avoid writing dreadful SQL statements
I have written about this before, and my thoughts always settle on using a query builder. I've built a simple one, which works for what I need, but there are more feature complete ones out there such as squirrel. I've also written about how you can implement a simple CRUD library for database interactions using generics and query building to have that nice middle-ground between an ORM and query building.
-
Best sqlc alternative for dynamic queries?
Here are 2 options for you * https://github.com/huandu/go-sqlbuilder * https://github.com/Masterminds/squirrel
sqlx + squirrel ftw
-
Golang RESTAPI boilerplate repository
https://www.reddit.com/r/golang/comments/vq98ud/what_sql_library_are_you_using/ Jet havn't used but is one that looks promising! Otherwise I'm one of the purests, db/sql and https://github.com/Masterminds/squirrel
-
Why is Raw SQL preferred over ORM in go?
I think he means an sql builder like squirrel. This allows dynamic queries, but more important you can reuse function that build a where clause so you can get a count and query with that.
-
Does Go, has something similar to Laravel eloquent (ORM) ?
I'd rather suggest the use of tools more aligned with the core concepts of the language such as sqlx, which is an extension of the database/sql standard library. It allows you to use models/structs to map your tables but you have more control over the SQL statements you use to perform queries and the like. You can combine sqlx with Squirrel to build queries from composable parts.
-
Are there any decent ORMs in Golang?
But using a query builder, something like squirrel or (plug) bqb, allows you to actually write SQL (or something close to it) when you need it but also handles the nasty string building bits. Though I agree that ORMs are not always bad, especially for small projects with well-defined scope.
-
GORM
But if I want to replace Gorm, I will using https://github.com/Masterminds/squirrel
What are some alternatives?
goqu - SQL builder and query library for golang
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.
sqlx - general purpose extensions to golang's database/sql
GORM - The fantastic ORM library for Golang, aims to be developer friendly
InfluxDB - Scalable datastore for metrics, events, and real-time analytics
sqlc - Generate type-safe code from SQL
sqlx - 🧰 The Rust SQL Toolkit. An async, pure Rust SQL crate featuring compile-time checked queries without a DSL. Supports PostgreSQL, MySQL, and SQLite.
go-mysql-elasticsearch - Sync MySQL data into elasticsearch
go-sql-builder-benchmarks - Benchmarking Golang SQL query builders
mockaroo - Mock-A-🦘 (mock-aa-roo) a comprehensive HTTP/HTTPS interface mocking tool for all your development and testing needs!
BTrDB - Berkeley Tree Database (BTrDB) server
fake-gcs-server - Google Cloud Storage emulator & testing library.