rueidis
badger
rueidis | badger | |
---|---|---|
28 | 30 | |
1,274 | 13,437 | |
- | 1.2% | |
8.6 | 6.7 | |
about 1 year ago | 17 days ago | |
Go | Go | |
Apache License 2.0 | Apache License 2.0 |
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rueidis
- Redis with golang
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understanding a opensource project - golang beginner
I have a redis client library which code base is small while it uses some advanced techniques to achieve better performance. I think it is worth reading https://github.com/rueian/rueidis
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Go-Redis Is Now an Official Redis Client
Want to say +1 for Rueidis. It's a very fast, well-maintained library. It's already adopted by several large open-source projects (see https://github.com/rueian/rueidis/network/dependents). Nothing to say against go-redis though - it's very good too.
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rueidis v0.0.90: an almost zero allocation redis client library
Hi folks, I am pleased to introduce you rueidis v0.0.90, a Redis client library that can help you access Redis server with little or almost zero allocation on your application side.
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Redis driver supports at-least-once delivery
Hi rtsov, I also like to have this kind of amqp functionality in rueidis https://github.com/rueian/rueidis.
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can I use go-cache as session manager ?
You can also use redis to store sessions remotely, and use its client-side caching feature for better performance: https://github.com/rueian/rueidis
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What have you learnt from your Golang experience ?
All these help me build a fast redis client library: https://github.com/rueian/rueidis
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Concurrency mutex patterns general question
Use redis+client-side caching to implement your replicas. This can help you: https://github.com/rueian/rueidis
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rueian/rueidis v0.0.81: A fast Redis client that supports Client-Side Caching and Auto Pipelining
Actually it is also beneficial for applications using redis for distributed locks magement. Redis can now notify clients the state of their locks proactively. https://github.com/rueian/rueidis/tree/master/rueidislock
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Best packages?
rueidis For fast client-side caching, distributed locking and Pub/Sub with Redis.
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
What are some alternatives?
redis - Type-safe Redis client for Golang [Moved to: https://github.com/redis/go-redis]
goleveldb - LevelDB key/value database in Go.
Redis - Redis Go client
buntdb - BuntDB is an embeddable, in-memory key/value database for Go with custom indexing and geospatial support
go - The Go programming language
bolt
golang-standards/project-layout - Standard Go Project Layout
bbolt - An embedded key/value database for Go.
go-json - Fast Go JSON encoder for large arrays of objects
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.
go-deadlock - Online deadlock detection in go (golang)
go-cache - An in-memory key:value store/cache (similar to Memcached) library for Go, suitable for single-machine applications.