pgxmock
scany
pgxmock | scany | |
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2 | 5 | |
282 | 1,192 | |
- | - | |
8.1 | 5.4 | |
9 days ago | 27 days ago | |
Go | Go | |
GNU General Public License v3.0 or later | MIT License |
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pgxmock
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Using SQLC in project how do I mock database Calls with it for unit testing?
It's not the right call IMO to skip mocking the database connection to achieve 100% test coverage. How your app will behave in failure scenarios that are impossible to imitate during integration tests is part of the software contract. If your choice is to panic, or return an error, document that by testing that behavior. If another dev, or future you inadvertently breaks the contract, the test suite will fail. That's what you want. For unit tests against your database you should be using either go-sqlmock if testing against database/sql or pgxmock if testing against pgx. That being said, the points raised elsewhere in this thread regarding unit tests potentially hiding edge cases in terms of how an actual database will interact with your application that are not reflective of your understanding when writing mocks are 100% valid. You should do both. Unit test your app and write integration tests as well. On my team, we run integration tests using docker-compose.
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Can you set expectations for SQL transaction using Testify?
For postgres only but pgxmock is similarly excellent
scany
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Are there any decent ORMs in Golang?
When I don't use one, I'm typically using SQLx or (if using Postgres) pgx with scany https://github.com/georgysavva/scany (slightly better API than SQLx and great performance since you can use the native interface from pgx if desired whereas many database drivers only offer the text-based interface).
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How do you handle scanning of db.Rows?
If you want something like sqlx and you already know you're using pgx, a better choice is probably https://github.com/georgysavva/scany since you can use the native interface and get the same key features.
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Building a Simple TODO App with Gin-gonic in Zerops: A step-by-step Guide
github.com/georgysavva/scany (v1.1.0)
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SQL Query Strategy for complex structs
I like to use pgxscan from https://github.com/georgysavva/scany
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Does gorm worth learning?
There's also bqb. We use it in production at our company -- much better than raw SQL. If you couple it with something like scany then you get more of the ORM benefits without the complexity.
What are some alternatives?
go-sqlmock - Sql mock driver for golang to test database interactions
sqlx - general purpose extensions to golang's database/sql
pgxatomic - Clean implementation of transaction manager using pgx
ngrok - Unified ingress for developers
goose - A database migration tool. Supports SQL migrations and Go functions.
godotenv - A Go port of Ruby's dotenv library (Loads environment variables from .env files)
go-pg - Golang ORM with focus on PostgreSQL features and performance
xlsx - Go library for reading and writing XLSX files.
usql - Universal command-line interface for SQL databases
godropbox - Common libraries for writing Go services/applications.
resty - Simple HTTP and REST client library for Go
peco - Simplistic interactive filtering tool