go-doudou VS mongo-go-driver

Github repo: https://github.com/unionj-cloud/go-doudou Latest release: v1.3.2

Update documentation to latest version https://go-doudou.github.io

If you like sqlx, I recommend you to have a look at go-doudou built-in lightweight orm based on sqlx. It can do struct to table and table to struct migration/sync, generate dao layer code to simplify your single table CRUD operations, and it also can print SQL query with parameters substituded along with opentracing compatible trace ID for locating problems, and it will have more features coming such as cache layer... Here is the repo: https://github.com/unionj-cloud/go-doudou

I recommend go-doudou for you: https://github.com/unionj-cloud/go-doudou Here is online documentation: https://go-doudou.github.io/

Please take a look at https://github.com/unionj-cloud/go-doudou This is a microservice framework written in Go. I opened it a year ago. It's production ready, but there are a lot of featues not implemented yet. I hope community can help me build it together.

Go-doudou released v1.0.3: https://github.com/unionj-cloud/go-doudou/releases/tag/v1.0.3 Add full support for Alibaba Nacos configuration management and Ctrip Apollo configuration management Documentation: https://go-doudou.github.io/guide/configuration.html

Hi gophers, go-doudou released v1.0.0 version today: https://github.com/unionj-cloud/go-doudou/releases/tag/v1.0.0. And I finished online documentation for go-doudou though there is only English version: https://go-doudou.github.io. I also uploaded a real-world word cloud application to github: https://github.com/unionj-cloud/go-doudou-tutorials/tree/master/wordcloud. You can use this project as scaffold to build your microservices.

In this tutorial, I will introduce go-doudou microservice framework to you. Go-doudou has built-in service register, discover and fault tolerance features based on gossip protocol, and it uses gorilla/mux as http router, and uses golang interface as IDL(Interface Definition Language). Go-doudou is an IDL compiler and server/client code generator tool at first, then it becomes a microservice framework. Its RESTful version is stable and production ready, while grpc version is in early development.

MongoDB, a document-oriented NoSQL database, will be our data powerhouse. We'll utilize the mongo-driver library to seamlessly connect our Golang application to MongoDB. This section will cover essential database interactions, including creating collections, storing metadata, and efficiently querying for image-related data. Understanding these fundamentals is crucial for building a robust image storage and retrieval system.

mongodb.org/mongo-driver: The MongoDB supported driver for Go.

Learning how to integrate no-sql databases with applications is becoming a must-know skill for all developers out there. Golang in particular provides the MongoDB Go Driver for easier and efficient connection with the mongo database.

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

PostgeSQL as event store database Kafka as messages broker gRPC Go implementation of gRPC Jaeger open source, end-to-end distributed tracing Prometheus monitoring and alerting Grafana for to compose observability dashboards with everything from Prometheus MongoDB MongoDB database Elasticsearch Elasticsearch client for Go. Echo web framework Kibana Kibana is data visualization dashboard software for Elasticsearch Migrate for migrations

mongodb/mongo-go-driver 6.6k Stars, Used by -

In this project we have microservice working with EventStoreDB using oficial go client, for [projections (https://zimarev.com/blog/event-sourcing/projections/) used MongoDB and Elasticsearch for search, and communicate by gRPC and REST. Did not implement here any interesting business logic and didn't cover tests, because don't have enough time, the events list is very simple: create a new order, update shopping cart, pay, submit, cancel, change the delivery address, complete order, and of course in real-world better use more concrete and meaningfully events, but the target here is to show the idea and how it works. Event Sourcing can be implemented in different ways, used here EventStoreDB, but we can do it with PostgreSQL and Kafka for example. After trying both approaches, found EventStoreDB is a better solution because all required features are implemented out of the box, it is optimized and really very good engineers developing it.

For that same reason I decided to create a simple REST API using my favorite Go framework, Fiber and this time I decided to use the MongoDB Driver.

Mgo has been unmaintained for years. Use the official https://github.com/mongodb/mongo-go-driver