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chord-dht

crates.io docker

A DHT (distributed hash table) implementation in Rust based on Chord with high performance and data replication.

It can be used either as a library or as a standalone application.

Installation

For library, add chord-dht to the dependencies in your Cargo.toml.

For standalone binaries, use cargo install chord-dht. You can also use the docker image:

# For server (suppose the port to use is <port>)
docker run -d -p <port>:<port> chord-dht chord-dht-server <server_args>

# For client
docker run -it chord-dht chord-dht-client <client_args>

Usage

Library

As a client:

use chord_dht::client::setup_client;
use tarpc::context;

#[tokio::main]
async fn main() -> anyhow::Result<()> {
	// server address
	let addr = "127.0.0.1:9800"
	let client = setup_client(&addr).await?;

	let ctx = context::current();
	let key = "key".as_bytes();
	let value = "value".as_bytes();
	client.set_rpc(ctx, key.clone(), Some(value.clone())).await?;
	let ret = client.get_rpc(ctx, key.clone()).await?;
	assert_eq!(ret.unwrap(), value);
	Ok(())
}

As a server:

use chord_dht::core::{
	Node,
	NodeServer,
	config::Config
};


#[tokio::main]
async fn main() -> anyhow::Result<()> {
	let node = Node {
		addr: "127.0.0.1:9800".to_string(),
		id: 0
	};
	let mut server = NodeServer::new(node, Config::default());
	let manager = server.start(None).await?;
	// Wait for the server
	manager.wait().await?;

	Ok(())
}

Standalone Application

To start a server:

cargo run -- chord-dht-server <bind_addr> [--join <addr>]

To start a client:

cargo run -- chord-dht-client <server_addr>
> set key value
> get key
value

Features built upon Chord

  • In-memory key-value storage
  • Data replication
  • Fault tolerance

The in-memory key-value DHT is aimed to be efficient when storing ephemeral data (e.g. user tokens).

TODO

  • Transfer existing keys when node is down or joins the ring
  • Allow node to leave

License

Licensed under the AGPLv3 license.

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A DHT (distributed hash table) implementation in Rust based on Chord with high performance and data replication.

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