dragonboat-example
mit-6.824-distributed-systems
| dragonboat-example | mit-6.824-distributed-systems | |
|---|---|---|
| 1 | 1 | |
| 171 | 53 | |
| - | - | |
| 2.1 | 3.2 | |
| 8 months ago | almost 2 years ago | |
| Go | Go | |
| Apache License 2.0 | MIT License |
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dragonboat-example
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Is it possible to have more than 1 master available for writes in a raft system?
Yes, "joint consensus" took me a while to comprehend. If you check dragonboat examples there is one ( https://github.com/lni/dragonboat-example/tree/master/ondisk ) which shows how to perform migrations between nodes simply by copying snapshots. There are few open questions (eg. how does it scale up? does it always need to copy everything to target node first or could it be reimplemented with option for streaming?) but it looks quite promising.
mit-6.824-distributed-systems
What are some alternatives?
hashring - Consistent hashing "hashring" implementation in golang (using the same algorithm as libketama)
mapreduce - A in-process MapReduce library to help you optimizing service response time or concurrent task processing.
dragonboat - A feature complete and high performance multi-group Raft library in Go.
etcd - Distributed reliable key-value store for the most critical data of a distributed system
raft - raft is a golang library that provides a simple, clean, and idiomatic implementation of the Raft consensus protocol
MapReduce - An easy-to-use Map Reduce Go parallel-computing framework inspired by 2021 6.824 lab1. It supports multiple workers threads on a single machine and multiple processes on a single machine right now.
memberlist - Golang package for gossip based membership and failure detection
goterator - Lazy iterator implementation for Golang
Robust IRC - RobustIRC - an IRC network without netsplits, implemented in Go using the Raft consensus algorithm