2.2 KiB
2.2 KiB
web3-proxy
quick and dirty proxy for ethereum rpcs (or similar)
Signed transactions are sent to the configured private RPC (eden, flashbots, etc.). All other requests are sent to the configured primary RPC (alchemy, moralis, rivet, your own node, or one of many other providers).
cargo run -- --help
Finished dev [unoptimized + debuginfo] target(s) in 0.04s
Running `target/debug/eth-proxy --help`
Usage: eth-proxy --eth-primary-rpc <eth-primary-rpc> --eth-private-rpc <eth-private-rpc> [--listen-port <listen-port>]
Proxy Web3 Requests
Options:
--eth-primary-rpc the primary Ethereum RPC server
--eth-private-rpc the private Ethereum RPC server
--listen-port the port to listen on
--help display usage information
cargo run -r -- --eth-primary-rpc "https://your.favorite.provider"
curl -X POST -H "Content-Type: application/json" --data '{"jsonrpc":"2.0","method":"web3_clientVersion","params":[],"id":67}' 127.0.0.1:8845/eth
Load Testing
Test the proxy:
wrk -s ./getBlockNumber.lua -t12 -c400 -d30s --latency http://127.0.0.1:8445
wrk -s ./getLatestBlockByNumber.lua -t12 -c400 -d30s --latency http://127.0.0.1:8445
Test geth:
wrk -s ./getBlockNumber.lua -t12 -c400 -d30s --latency http://127.0.0.1:8545
wrk -s ./getLatestBlockByNumber.lua -t12 -c400 -d30s --latency http://127.0.0.1:8545
Test erigon:
wrk -s ./getBlockNumber.lua -t12 -c400 -d30s --latency http://127.0.0.1:8945
wrk -s ./getLatestBlockByNumber.lua -t12 -c400 -d30s --latency http://127.0.0.1:8945
Todo
- simple proxy
- better locking. when lots of requests come in, we seem to be in the way of block updates
- proper logging
- load balance between multiple RPC servers
- support more than just ETH
- option to disable private rpc and send everything to primary
- health check nodes by block height
- measure latency to nodes
- Dockerfile
- testing getLatestBlockByNumber is not great because the latest block changes and so one run is likely to be different than another
- if a request gets a socket timeout, try on another server
- maybe always try at least two servers in parallel? and then return the first? or only if the first one doesn't respond very quickly?