cuckoofilter
bbolt
cuckoofilter | bbolt | |
---|---|---|
1 | 18 | |
1,066 | 7,617 | |
- | 1.3% | |
0.0 | 9.1 | |
about 1 month ago | 8 days ago | |
Go | Go | |
MIT License | MIT License |
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cuckoofilter
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Looking for fast, space-efficient key-lookup
- a cuckoo filter for fast lookup. This has around a 3% false positive rate. There are other implementations however that have a much lower rate. You can store the filter in the database as well in a different bucket so you don't have to rebuild the filter on startup.
bbolt
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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.
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Locker: Store secrets on your local file system.
A Locker is a store on your file system (built on top of the amazing bbolt).
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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?
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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.
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Open Source Databases in Go
bbolt - An embedded key/value database for Go.
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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.
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[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.
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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?
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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.
What are some alternatives?
hyperloglog - HyperLogLog with lots of sugar (Sparse, LogLog-Beta bias correction and TailCut space reduction) brought to you by Axiom
badger - Fast key-value DB in Go.
golang-set - A simple, battle-tested and generic set type for the Go language. Trusted by Docker, 1Password, Ethereum and Hashicorp.
bolt
bloom - Bloom filters implemented in Go.
goleveldb - LevelDB key/value database in Go.
gods - GoDS (Go Data Structures) - Sets, Lists, Stacks, Maps, Trees, Queues, and much more
go-sqlite - Low-level Go interface to SQLite 3
gota - Gota: DataFrames and data wrangling in Go (Golang)
buntdb - BuntDB is an embeddable, in-memory key/value database for Go with custom indexing and geospatial support
go-datastructures - A collection of useful, performant, and threadsafe Go datastructures.
BigCache - Efficient cache for gigabytes of data written in Go.