badger
sqlx
badger | sqlx | |
---|---|---|
30 | 70 | |
13,397 | 15,405 | |
0.9% | - | |
6.7 | 3.6 | |
9 days ago | 9 days ago | |
Go | Go | |
Apache License 2.0 | MIT License |
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badger
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Anytype helper crashed
github.com/dgraph-io/badger/v3/table.OpenTable(0xc000bb4000, {0x0, 0x1, 0x200000, 0x0, 0x0, 0x3f847ae147ae147b, 0x1000, 0x0, 0x0, ...})
- What would be some database with extreme raw performance? (details in)
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GORM
I' see that I'm also set to check out BadgerDB next. https://github.com/dgraph-io/badger
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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
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Butter from two CoWs: making a key-value store with btrfs
As I mentioned in a comment above you could probably just use AgageDb (Rust implementation of Badger which is a single file high performance KVP store. Turn off all of its built-in transactional behaviour and see how fast it runs on BTRFS using reflinks instead.
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Building a Log-Structured Merge Tree in Go
Badger: Fast key-value DB in Go (GitHub)
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Is there a nice embedded json db, like PoloDB (Rust) for Golang
I use Badger a lot, it doesn’t do much but it’s fast
- Best packages?
- What's the big deal about key-value databases like FoundationDB ands RocksDB?
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badger VS ZoneTree - a user suggested alternative
2 projects | 22 Aug 2022
sqlx
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Python: Just Write SQL
We've always used https://github.com/jmoiron/sqlx which is just the standard package + mapping to/from structs.
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Golang equivalent of MyBatis/iBatis
You can use this https://github.com/jmoiron/sqlx
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REST API with Go, Chi, MySQL and sqlx
I will be using sqlx to execute queries and map columns to struct fields and vice versa, sqlx is a library which provides a set of extensions on go's standard database/sql library.
- PHP to Golang
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Best sqlc alternative for dynamic queries?
sqlx + squirrel ftw
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Does Go, has something similar to Laravel eloquent (ORM) ?
I'd rather suggest the use of tools more aligned with the core concepts of the language such as sqlx, which is an extension of the database/sql standard library. It allows you to use models/structs to map your tables but you have more control over the SQL statements you use to perform queries and the like. You can combine sqlx with Squirrel to build queries from composable parts.
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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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Where Is the Spring Framework for Go?
This is the same situation I saw 20 years ago. Back then, all the managers were pushing development in Oracle tools. Those managers grew up on Oracle and Java was too modern for them. Now the situation is similar. Managers used to do things in Java and now they are still pushing Java. In fact, today Java brings nothing but problems. When I see a new project starting on Java it is always some big desperation. For a comparison of Java and Go, just look at the documentation for SQL. For go: https://pkg.go.dev/database/sql (31 pages) and maybe https://jmoiron.github.io/sqlx/ (12 pages). In Java only one class is 59 pages (https://docs.oracle.com/javase/8/docs/api/java/sql/ResultSet.html) and look how many of those documents there are: https://docs.oracle.com/en/java/javase/13/docs/api/java.sql/java/sql/package-summary.html and on top of that we have javax.sql - https://docs.oracle.com/javase/8/docs/api/javax/sql/package-summary.html And even then you use Hibernate for example, where the documentation has 11 manuals and of those the User Guide has 353 pages - https://docs.jboss.org/hibernate/orm/6.2/userguide/html\_single/Hibernate\_User\_Guide.html
- Is sqlx still maintained?
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Golang tech stack
sqlx
What are some alternatives?
goleveldb - LevelDB key/value database in Go.
pgx - PostgreSQL driver and toolkit for Go
buntdb - BuntDB is an embeddable, in-memory key/value database for Go with custom indexing and geospatial support
sqlc - Generate type-safe code from SQL
bolt
Squirrel - Fluent SQL generation for golang
bbolt - An embedded key/value database for Go.
go-sql-driver/mysql - Go MySQL Driver is a MySQL driver for Go's (golang) database/sql package
nutsdb - A simple, fast, embeddable, persistent key/value store written in pure Go. It supports fully serializable transactions and many data structures such as list, set, sorted set.
gomock - GoMock is a mocking framework for the Go programming language.
go-cache - An in-memory key:value store/cache (similar to Memcached) library for Go, suitable for single-machine applications.
SQLBoiler - Generate a Go ORM tailored to your database schema.