bqb
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bqb
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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.
- Examples of Good Go Repos
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GORM
Plug for bqb as a query builder, but there's also squirrel which works pretty well too.
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Best packages?
(plug) bqb for very simple query building.
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ORM vs SQL Builder in Go
Squirrel is great! Let me also plug bqb.
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Open Source Go Projects for learning go
Plug: BQB (basic query builder) is small, 100% test coverage, and in AwesomeGo. A great starter project.
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Where to find a virtual or local Go mentor?
I totally understand this. If you do go with a query builder, may I recommend bqb (shameless plug) as it allows you to remain closer to the SQL than some alternatives and doesn't do anything fancy. We stripped out 50% of our query logic with it in our org, which has enabled us to more readily tweak the SQL for performance.
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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.
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Any "simple" projects with particularly well-written and/or well-documented code for a beginner to look through?
Another shameless plug: https://github.com/nullism/bqb pretty tiny query builder with 100% test coverage
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bqb VS Squirrel - a user suggested alternative
2 projects | 9 Sep 2021
Testify
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What 3rd-party libraries do you use often/all the time?
github.com/stretchr/testify
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Testing calls to Daily's REST API in Go
I then verify that there are no issues with writing the body with require.NoError() from the testify toolkit. This will ensure the test fails if something happens to go wrong at this point.
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Gopher Pythonista #1: Moving From Python To Go
For testing purposes, Go provides a go test command that automatically discovers tests within your application and supports features such as caching and code coverage. However, if you require more advanced testing capabilities such as suites or mocking, you will need to install a toolkit like testify. Overall, while Go provides a highly effective testing experience, it's worth noting that writing tests in Python using pytest is arguably one of the most enjoyable testing experiences I have encountered across all programming languages.
- Why elixir over Golang
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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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Tools besides Go for a newbie
IDE: use whatever make you productive. I personally use vscode. VCS: git, as golang communities use github heavily as base for many libraries. AFAIK Linter: use staticcheck for linting as it looks like mostly used linting tool in go, supported by many also. In Vscode it will be recommended once you install go plugin. Libraries/Framework: actually the standard libraries already included many things you need, decent enough for your day-to-day development cycles(e.g. `net/http`). But here are things for extra: - Struct fields validator: validator - Http server lib: chi router , httprouter , fasthttp (for non standard http implementations, but fast) - Web Framework: echo , gin , fiber , beego , etc - Http client lib: most already covered by stdlib(net/http), so you rarely need extra lib for this, but if you really need some are: resty - CLI: cobra - Config: godotenv , viper - DB Drivers: sqlx , postgre , sqlite , mysql - nosql: redis , mongodb , elasticsearch - ORM: gorm , entgo , sqlc(codegen) - JS Transpiler: gopherjs - GUI: fyne - grpc: grpc - logging: zerolog - test: testify , gomock , dockertest - and many others you can find here
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Is gomock still maintained and recommended?
FWIW, I've been using testify and mockery for years.
To answer OP directly, I am largely quite happy with mockery (and testify) to write expressive tests.
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Golang, GraphQL y Postgress
Como herramientas te recomiendo: FastJson https://github.com/valyala/fastjson : Si necesitas leer jsons Testify https://github.com/stretchr/testify : Para mockear y testear
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How to develop a Web app in go
Indispensable for testing your code: https://github.com/stretchr/testify
What are some alternatives?
ginkgo - A Modern Testing Framework for Go
GoConvey - Go testing in the browser. Integrates with `go test`. Write behavioral tests in Go.
gomega - Ginkgo's Preferred Matcher Library
gomock - GoMock is a mocking framework for the Go programming language.
gotest.tools - A collection of packages to augment the go testing package and support common patterns.
go-cmp - Package for comparing Go values in tests
gocheck - Rich testing for the Go language
assert - :exclamation:Basic Assertion Library used along side native go testing, with building blocks for custom assertions
godog - Cucumber for golang
goblin - Minimal and Beautiful Go testing framework
go-testdeep - Extremely flexible golang deep comparison, extends the go testing package, tests HTTP APIs and provides tests suite
decimal - Arbitrary-precision fixed-point decimal numbers in go