bcache alternatives and similar packages
Based on the "Database" category.
Alternatively, view bcache alternatives based on common mentions on social networks and blogs.
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cockroach
CockroachDB - the open source, cloud-native distributed SQL database. -
tidb
TiDB is an open-source, cloud-native, distributed, MySQL-Compatible database for elastic scale and real-time analytics. Try AI-powered Chat2Query free at : https://tidbcloud.com/free-trial -
Milvus
A cloud-native vector database, storage for next generation AI applications -
vitess
Vitess is a database clustering system for horizontal scaling of MySQL. -
groupcache
groupcache is a caching and cache-filling library, intended as a replacement for memcached in many cases. -
TinyGo
Go compiler for small places. Microcontrollers, WebAssembly (WASM/WASI), and command-line tools. Based on LLVM. -
VictoriaMetrics
VictoriaMetrics: fast, cost-effective monitoring solution and time series database -
immudb
immudb - immutable database based on zero trust, SQL/Key-Value/Document model, tamperproof, data change history -
go-cache
An in-memory key:value store/cache (similar to Memcached) library for Go, suitable for single-machine applications. -
bytebase
Database DevOps and CI/CD for Developer, DBA and Platform Engineering team. -
rosedb
Lightweight, fast and reliable key/value storage engine based on Bitcask. -
pREST
PostgreSQL ➕ REST, low-code, simplify and accelerate development, ⚡ instant, realtime, high-performance on any Postgres application, existing or new -
buntdb
BuntDB is an embeddable, in-memory key/value database for Go with custom indexing and geospatial support -
xo
Command line tool to generate idiomatic Go code for SQL databases supporting PostgreSQL, MySQL, SQLite, Oracle, and Microsoft SQL Server -
tiedot
A rudimentary implementation of a basic document (NoSQL) database in Go -
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. -
LinDB
LinDB is a scalable, high performance, high availability distributed time series database. -
cache2go
Concurrency-safe Go caching library with expiration capabilities and access counters -
GCache
An in-memory cache library for golang. It supports multiple eviction policies: LRU, LFU, ARC -
fastcache
Fast thread-safe inmemory cache for big number of entries in Go. Minimizes GC overhead -
gocraft/dbr (database records)
Additions to Go's database/sql for super fast performance and convenience. -
CovenantSQL
A decentralized, trusted, high performance, SQL database with blockchain features -
lotusdb
Most advanced key-value store written in Go, extremely fast, compatible with LSM tree and B+ tree, optimization of badger and bbolt.
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README
bcache
A Go Library to create distributed in-memory cache inside your app.
Features
- LRU cache with configurable maximum keys
- Eventual Consistency synchronization between peers
- Data are replicated to all nodes
- cache filling mechanism. When the cache of the given key is not exist, bcache coordinates cache fills such that only one call populates the cache to avoid thundering herd or cache stampede
Why using it
- if extra network hops needed by external caches like
redis
ormemcached
is not acceptable for you - you only need cache with simple
Set
,Get
, andDelete
operation - you have enough RAM to hold the cache data
How it Works
- Nodes find each other using Gossip Protocol
Only need to specify one or few nodes as bootstrap nodes, and all nodes will find each other using gossip protocol
- When there is cache
Set
andDelete
, the event will be propagated to all of the nodes.
So, all of the nodes will eventually have synced data.
Cache filling
Cache filling mechanism is provided in GetWithFiller func.
When the cache for the given key is not exists:
- it will call the provided
Filler
- set the cache using value returned by the
Filler
Even there are many goroutines which call GetWithFiller
, the given Filler
func
will only called once for each of the key.
Cache stampede could be avoided this way.
Quick Start
In server 1
bc, err := New(Config{
// PeerID: 1, // leave it, will be set automatically based on mac addr
ListenAddr: "192.168.0.1:12345",
Peers: nil, // it nil because we will use this node as bootstrap node
MaxKeys: 1000,
Logger: logrus.New(),
})
if err != nil {
log.Fatalf("failed to create cache: %v", err)
}
bc.Set("my_key", "my_val",86400)
In server 2
bc, err := New(Config{
// PeerID: 2, // leave it, will be set automatically based on mac addr
ListenAddr: "192.168.0.2:12345",
Peers: []string{"192.168.0.1:12345"},
MaxKeys: 1000,
Logger: logrus.New(),
})
if err != nil {
log.Fatalf("failed to create cache: %v", err)
}
bc.Set("my_key2", "my_val2", 86400)
In server 3
bc, err := New(Config{
// PeerID: 3,// will be set automatically based on mac addr
ListenAddr: "192.168.0.3:12345",
Peers: []string{"192.168.0.1:12345"},
MaxKeys: 1000,
Logger: logrus.New(),
})
if err != nil {
log.Fatalf("failed to create cache: %v", err)
}
val, exists := bc.Get("my_key2")
GetWithFiller example
c, err := New(Config{
PeerID: 3,
ListenAddr: "192.168.0.3:12345",
Peers: []string{"192.168.0.1:12345"},
MaxKeys: 1000,
})
if err != nil {
log.Fatalf("failed to create cache: %v", err)
}
val, exp,err := bc.GetWithFiller("my_key2",func(key string) (string, error) {
// get value from database
.....
//
return value, 0, nil
}, 86400)
Credits
- weaveworks/mesh for the gossip library
- groupcache for the inspiration