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Programming language: Go
License: BSD 3-clause "New" or "Revised" License
Tags:
Distributed Systems
doublejump alternatives and similar packages
Based on the "Distributed Systems" category.
Alternatively, view doublejump alternatives based on common mentions on social networks and blogs.
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Nomad
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go-zero
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rpcx
Best microservices framework in Go, like alibaba Dubbo, but with more features, Scale easily. Try it. Test it. If you feel it's better, use it! ๐๐๐ฏ๐ๆ๐๐ฎ๐๐๐จ, ๐๐จ๐ฅ๐๐ง๐ ๆ๐ซ๐ฉ๐๐ฑ! build for cloud! -
ringpop-go
Scalable, fault-tolerant application-layer sharding for Go applications -
Kitex
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KrakenD
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dragonboat
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Dkron
Dkron - Distributed, fault tolerant job scheduling system https://dkron.io -
emitter-io
High performance, distributed and low latency publish-subscribe platform. -
gleam
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glow
Glow is an easy-to-use distributed computation system written in Go, similar to Hadoop Map Reduce, Spark, Flink, Storm, etc. I am also working on another similar pure Go system, https://github.com/chrislusf/gleam , which is more flexible and more performant. -
Olric
Distributed in-memory object store. It can be used both as an embedded Go library and as a language-independent service. -
Dragonfly
Dragonfly is an open source P2P-based file distribution and image acceleration system. It is hosted by the Cloud Native Computing Foundation (CNCF) as an Incubating Level Project. -
hprose
Hprose is a cross-language RPC. This project is Hprose for Golang. -
go-doudou
go-doudou๏ผdoudou pronounce /dษudษu/๏ผis OpenAPI 3.0 (for REST) spec and Protobuf v3 (for grpc) based lightweight microservice framework. It supports monolith service application as well. -
redis-lock
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go-health
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arpc
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resgate
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go-sundheit
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sleuth
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Maestro
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celeriac
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drmaa
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flowgraph
Flowgraph package for scalable asynchronous system development
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Promo
www.influxdata.com
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Popular Comparisons
README
Overview
This is a revamped Google's jump consistent hash. It overcomes the shortcoming of the original implementation - not being able to remove nodes. Here is the main idea behind doublejump.
Benchmark
BenchmarkDoubleJumpWithoutLock/10-nodes 50000000 27.6 ns/op
BenchmarkDoubleJumpWithoutLock/100-nodes 30000000 42.7 ns/op
BenchmarkDoubleJumpWithoutLock/1000-nodes 30000000 54.1 ns/op
BenchmarkDoubleJump/10-nodes 20000000 72.9 ns/op
BenchmarkDoubleJump/100-nodes 20000000 86.1 ns/op
BenchmarkDoubleJump/1000-nodes 20000000 97.9 ns/op
BenchmarkStathatConsistent/10-nodes 5000000 301 ns/op
BenchmarkStathatConsistent/100-nodes 5000000 334 ns/op
BenchmarkStathatConsistent/1000-nodes 3000000 444 ns/op
BenchmarkSerialxHashring/10-nodes 5000000 280 ns/op
BenchmarkSerialxHashring/100-nodes 5000000 340 ns/op
BenchmarkSerialxHashring/1000-nodes 3000000 427 ns/op
Example
h := NewHash()
for i := 0; i < 10; i++ {
h.Add(fmt.Sprintf("node%d", i))
}
fmt.Println(h.Len())
fmt.Println(h.LooseLen())
fmt.Println(h.Get(1000))
fmt.Println(h.Get(2000))
fmt.Println(h.Get(3000))
h.Remove("node3")
fmt.Println(h.Len())
fmt.Println(h.LooseLen())
fmt.Println(h.Get(1000))
fmt.Println(h.Get(2000))
fmt.Println(h.Get(3000))
// Output:
// 10
// 10
// node9
// node2
// node3
// 9
// 10
// node9
// node2
// node0
Acknowledgements
The implementation of the original algorithm is credited to dgryski.