pgx
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pgx
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Setting up a Database Driver, Repository and Implementation of a transaction function for your Go App
Sometimes, backend developers tend to opt for an ORM library because it provides an abstraction between your app and the database and thus there is little or no need to write raw queries and migrations which is nice. However, if you want to get better at writing queries (SQL for example), you need to learn how to build your repositories without an ORM. To open a database handle, you can either do it directly from the database driver or do it from database/sql with the driver passed into it. I will be opening the connection with database/sql together with pgx which is a driver and toolkit for PostgreSQL. Walk with me.
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The DDD Hamburger for Go
The infrastructure layer contains the concrete implementation of the repository domain interface ActivityRepository in the struct DbActivityRepository. This repository implementation uses the Postgres driver pgx and plain SQL to store the activity in the database. It uses the database transaction from the context, since the transaction was initiated by the application service.
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Building RESTful API with Hexagonal Architecture in Go
For building the RESTful Point of Sale service API, I've considered and selected a combination of technologies that would work seamlessly together. For handling HTTP requests and responses, using the Gin HTTP web framework would make sense because I think it seems complete and popular among Go community too. To ensure data integrity and persistence, I'm using PostgreSQL database with pgx as the database driver, the reason I choose PostgreSQL because it is the most popular relational database to use in production and offers efficient Go integration. I'm also implementing caching using Redis with go-redis client library, which provides powerful in-memory data storage capabilities.
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Working with postgres in GO.
If you are willing to commit to working only with Postgres, I highly recommend pgx. Be sure you get the latest version github.com/jackc/pgx/v5. This gives you the full power of interacting with Postgres without going through an intermediate lowest-common-denominator library.
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How to Use Iris and PostgreSQL for Web Development
It uses pg package and pgx driver under the hood.
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Could I get a code review?
Starting off, is there any reason you're calling out to the CLI, instead of just using a Postgres driver like pgx? Shelling out to the command line should always be a last resort where possible as a software engineer.
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Why elixir over Golang
For maintaining state I use PostgreSQL. Driver: https://github.com/jackc/pgx (I use the pgxpools) Along with Sqlc for generating database models and allowing me to focus on just building queries in DBeaver. https://sqlc.dev/
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Make psql display settings on login
An example of what I'm looking for can be found here https://github.com/jackc/pgx/wiki/Getting-started-with-pgx-through-database-sql/c9f798b4d9a500fcf93931df2464af969d68f516
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Zig now has built-in HTTP server and client in std
Except pgx recommends using their native interface, not database/sql, for performance and extra features [0], so it's not that simple in practice.
[0]: https://github.com/jackc/pgx#choosing-between-the-pgx-and-da...
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Go Roadmap
pgx is “PostgreSQL driver and toolkit for Go”. Take a look at https://github.com/jackc/pgx
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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Do you wrap testing libraries?
Im thinking in wrap or not the library https://github.com/stretchr/testify to do my tests.
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[Go] How to unit test for exception handling?
Are you limited to the std lib, or can you use testify? You can require things like require.Error()
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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?
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
What are some alternatives?
sqlx - general purpose extensions to golang's database/sql
ginkgo - A Modern Testing Framework for Go
GORM - The fantastic ORM library for Golang, aims to be developer friendly
GoConvey - Go testing in the browser. Integrates with `go test`. Write behavioral tests in Go.
pq - Pure Go Postgres driver for database/sql
gomega - Ginkgo's Preferred Matcher Library
gomock - GoMock is a mocking framework for the Go programming language.
go-sql-driver/mysql - Go MySQL Driver is a MySQL driver for Go's (golang) database/sql package
gotest.tools - A collection of packages to augment the go testing package and support common patterns.
sqlc - Generate type-safe code from SQL
go-cmp - Package for comparing Go values in tests