elastic
mongo-go-driver
elastic | mongo-go-driver | |
---|---|---|
21 | 15 | |
7,316 | 7,937 | |
- | 0.5% | |
0.0 | 9.1 | |
about 2 months ago | 3 days ago | |
Go | Go | |
MIT License | Apache License 2.0 |
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.
elastic
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How to include max_children in the Elasticsearch query
i am trying to generate the following query using github.com/olivere/elastic/v7
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Iβm a recent graduate and this is what is asked of me in my current (first) job. Please help me.
I think that https://olivere.github.io/elastic/ is a lot better as an API client
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Go and ElasticSearch full-text search microservice in k8sπβ¨π«
For Go available two good libraries for elasticsearch, the official Elasticsearch client and another one from community olivere elastic, both is good, but at this moment only the official client supports 8 version of elasticsearch and for serious production think it's the choice.
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How to add multiple conditions in elastic search in github.com/olivere/elastic/v7 library
You are using the Query DSL, which is documented here, and has examples for boolean combination queries, so if you want it built up in a more strongly-typed fashion, check the documentation for it: https://github.com/olivere/elastic/wiki/QueryDSL
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Go EventSourcing and CQRS with PostgreSQL, Kafka, MongoDB and ElasticSearch πβ¨π«
ElasticSearch repository implementation uses go-elasticsearch official library, another good one is olivere elastic but here it's not support 8 version which used for this project.
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Go EventSourcing and CQRS microservice using EventStoreDB πβ‘οΈπ«
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.
- Where can I find go-elasticsearch examples?
- How to add current time into a field in ES?
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Elasticsearch in Go, Err: βthe client noticed that the server is not Elasticsearch and we do not support this unknown productβ
Relevant Discussion from the maintainer
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Any good resources to learn Elasticsearch with Golang?
I have only used the olivere library and I think it is as good as a Go library gets.
mongo-go-driver
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Uploading and Serving Images from MongoDB in Golang
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.
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Build a Golang Todo App Backend: A Step-by-Step Guide
mongodb.org/mongo-driver: The MongoDB supported driver for Go.
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Integrating MONGODB in GOLANG applications
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.
- How to decode the mongo wire message in golang
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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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Go EventSourcing and CQRS with PostgreSQL, Kafka, MongoDB and ElasticSearch πβ¨π«
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
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Golang future web frameworks!
mongodb/mongo-go-driver 6.6k Stars, Used by -
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Go EventSourcing and CQRS microservice using EventStoreDB πβ‘οΈπ«
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.
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How to Build REST API using Go Fiber and MongoDB Driver
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.
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Migrating from PHP to Go
Mgo has been unmaintained for years. Use the official https://github.com/mongodb/mongo-go-driver
What are some alternatives?
bleve - A modern text/numeric/geo-spatial/vector indexing library for go
mgm - Mongo Go Models (mgm) is a fast and simple MongoDB ODM for Go (based on official Mongo Go Driver)
go-elasticsearch-examples - Official golang elasticsearch driver examples
mgo - Go Doc Dot Org
elastigo - A Go (golang) based Elasticsearch client library.
GORM - The fantastic ORM library for Golang, aims to be developer friendly
goes
Redis - Redis Go client
goriak - goriak - Go language driver for Riak KV
qmgo - Qmgo - The Go driver for MongoDB. Itβs based on official mongo-go-driver but easier to use like Mgo.
elasticsql - convert sql to elasticsearch DSL in golang(go)
Kivik - Common interface to CouchDB or CouchDB-like databases for Go and GopherJS