bbolt
BigCache
| bbolt | BigCache | |
|---|---|---|
| 18 | 1 | |
| 7,668 | 7,202 | |
| 1.3% | 0.6% | |
| 9.0 | 6.2 | |
| 2 days ago | 4 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.
bbolt
-
How to extract key-value versioning from BBoltDB in ETCD as a Go Code
Based on this [GitHub document](https://github.com/etcd-io/bbolt) for BBoltDB, we can understand that Go Code be used to create a BBoltDB database on the system. The key-values added & operations done on them in that Go Code are stored in the BBoltDB database.
-
Locker: Store secrets on your local file system.
A Locker is a store on your file system (built on top of the amazing bbolt).
-
Looking for fast, space-efficient key-lookup
- bbolt for storage on disk. In order to get the smallest db file size possible make sure you insert the keys in order and set:
- is it possible to create a social media with all apis without database saving all the data into a yml or a json?
-
BoltDB performance hit with large values?
I'm wanting to store some wasm modules (as []byte) in BoltDB. Right now the modules are <1MB, but eventually, they could be 10-50MB in size. Is this going to reduce the performance of BoltDB all around, if the size of a value is this large? If it makes a difference, I'm using the Storm toolkit for querying.
-
Open Source Databases in Go
bbolt - An embedded key/value database for Go.
-
Help to learn multithreading in Go
For learning goroutines and channels, I usually recommend writing a program that reads from files and writes the data in a dummy database with something like https://github.com/etcd-io/bbolt. It's relatively simple and you're more likely to run into common manifestations of concurrency issues running disk operations.
-
[Noob] Question about Channels
If you would like to explore usage of channels, I highly recommend writing a program that reads from files and writes the data in a dummy database with something like https://github.com/etcd-io/bbolt.
-
A tiny NoSQL database
No transactions, no consistency guarantees, no benchmarks, global locks in the storage implementation, a collection is copied in its entirety on every insertion to it...I realize it's not for the same use case as MySQL or MongoDB, but a more obvious comparison here is e.g. https://github.com/etcd-io/bbolt. So why should someone use this over bbolt?
-
A pure Go embedded SQL database
use go-sqlite3 to work with sqlite3 is one choice.
https://github.com/etcd-io/bbolt is another pure go option.
cznic seems like an alternative to bbolt. nice to have some options.
BigCache
-
Recommendation for Key/Value storage
There are also different packages used as a wrapper on top of the Go map based on what your requirements are (storing a lot of data) https://github.com/allegro/bigcache or (need performance) https://github.com/dgraph-io/ristretto. For basic use-cases, the standard Go map should be enough. Just keep in mind whether you need concurrent access to your data structure, in which case you should guard your map with a mutex .
What are some alternatives?
badger - Fast key-value DB in Go.
go-cache - An in-memory key:value store/cache (similar to Memcached) library for Go, suitable for single-machine applications.
bolt
groupcache - groupcache is a caching and cache-filling library, intended as a replacement for memcached in many cases.
goleveldb - LevelDB key/value database in Go.
ristretto - A high performance memory-bound Go cache
go-sqlite - Low-level Go interface to SQLite 3
buntdb - BuntDB is an embeddable, in-memory key/value database for Go with custom indexing and geospatial support
GCache - An in-memory cache library for golang. It supports multiple eviction policies: LRU, LFU, ARC
Bitcask - 🔑 A high performance Key/Value store written in Go with a predictable read/write performance and high throughput. Uses a Bitcask on-disk layout (LSM+WAL) similar to Riak.
fastcache - Fast thread-safe inmemory cache for big number of entries in Go. Minimizes GC overhead