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GORM
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bolt
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Announcing jammdb: a simple single-file key/value store
This crate started out as just a way for me to learn how boltdb works, while learning Rust at the same time. But somehow people started finding and using it and seem to like the simple API, so I figured I might as well share it in case someone else finds it useful too. If you want to know more about my motivations and the history of this crate, you can read the release notes on version 0.8.0!
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Polygon: Json Database System designed to run on small servers (as low as 16MB) and still be fast and flexible.
Some example of embeddable database could be genji, badger and boltdb
- Resource for making database from scratch
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Ask HN: Books on designing disk-optimized data structures?
Designing Data Intensive applications- specifically chapter 3 and 4 which deal with strategies and algorithms for storing and encoding data to be stored on disk and their pros and cons.
Once you read that, I'll suggest reading the source of a simple embedded key-value database, I wouldn't bother with RDBMs as they are complex beasts and contain way more than you need. BoltDB is a good project to read the source of https://github.com/boltdb/bolt, the whole thing is <10k lines of code and is a full blown production grade system with ACID semantics so packs a lot in those 10k and isn't just merely a toy.
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GitHub examples of Go that's written really well?
Bolt db and Bolt db's author post to go with it.
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Open Source Databases in Go
https://github.com/boltdb/bolt is a ACID B+ tree key-value store
- A Database for 2022
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Single Dependency Stacks
For a single server, SQLite, or boltdb[0]
I've never had to scale horizontally. I develop in Go and you can get very far along with just vertical scaling (aka beefier hardware).
Therefore I can't give concrete examples of a distributed db-as-a-library.
But all that you need is to extend the functions that fetch data to not just fetch from disk but from "peers" as well. For this to work you need servers (instances) to know about each other, and as you add more they also get added to their peers - sort of like a bittorrent network. I don't think it's difficult to do.
SQLite might not be suited for being distributed (although RQlite[1] claims to have done it).
Making a distributed data storage based on boltdb[0] is probably more feasible.
Whatever the case, there's no reason why a data storage engine can't be a library, even if it's distributed.
- How can I batch events in second intervals?
- Give examples of really cool software made by a single developer?
GORM
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Go ORMs Compared
GORM is a comprehensive ORM tool in Go, offering a code-first approach which allows defining database schemas using struct tags in Go. It's known for its developer-friendly nature, making it suitable for both beginners and experienced users. GORM supports a variety of SQL databases like MySQL, PostgreSQL, and SQLite. It's designed to be flexible, allowing developers to drop down to raw SQL when necessary. However, it's important to be cautious about its performance implications in large-scale applications.
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6 🔥 Awesome Golang packages (web devs)
Homepage: https://gorm.io/
- Tenha controle sobre seu SQL com Golang e SQLC
- Não use funções puras com Go
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Build an Event-Driven Uptime Monitor in Go 🚀
Since most of these APIs will be simple CRUD (Create/Read/Update/Delete) endpoints, let's build this service using GORM, an ORM library that makes building CRUD endpoints really simple.
- [OpenSource] I am building high performance Plex alternative in Go for Movies and TV Show
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Building Robust Applications in Go: Integrating Envconfig, Gorm, and OpenSearch
After successfully configuring the application, it's time to delve into integrating the data layer. For this purpose, I will utilize gorm, a powerful SQL ORM that facilitates rapid development of the data layer using model structs.
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ORM or no ORM that is the question
For basic INSERT ... VALUES ... or SELECT ... WHERE ... JOIN ..., use a library such as GORM. For INSERT .... SELECT ... statements where one combines two round trips (SELECT and INSERT) into one, ORMs have a hard time performing this query. Particularly when you start doing joins. Joins are the heart of Relational database theory (they denote relationships). So get to know what an INNER, LEFT, RIGHT and OUTER join is and why you would use them. Also learn INSERT ... SELECT ...
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Why ORMs are so hated?
I have never hated gorm and it serves me well. However I tend to feed it raw SQL very often.
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Golang RESTAPI boilerplate repository
Array of values with embedded value all pointed to the last value, reflect code was broken: https://github.com/go-gorm/gorm/pull/5901 data corruption
What are some alternatives?
buntdb - BuntDB is an embeddable, in-memory key/value database for Go with custom indexing and geospatial support
ent - An entity framework for Go
badger - Fast key-value DB in Go.
Xorm
bbolt - An embedded key/value database for Go.
SQLBoiler - Generate a Go ORM tailored to your database schema.
goleveldb - LevelDB key/value database in Go.
go-pg - Golang ORM with focus on PostgreSQL features and performance
InfluxDB - Scalable datastore for metrics, events, and real-time analytics
pgx - PostgreSQL driver and toolkit for Go
go-memdb - Golang in-memory database built on immutable radix trees
beego orm