2021-02-16 10:44:03 +00:00
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# Node Discovery Protocol v5
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2020-07-12 21:53:27 +00:00
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## Introduction
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2021-02-16 10:44:03 +00:00
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The `eth/p2p/discoveryv5` directory holds a Nim implementation of the
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[Node Discovery Protocol v5.1](https://github.com/ethereum/devp2p/blob/master/discv5/discv5.md).
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2020-07-12 21:53:27 +00:00
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2021-02-16 10:44:03 +00:00
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The implemented specification is Protocol version v5.1.
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This implementation does not support "Topic Advertisement" yet as this part of
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the specification is not complete.
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2022-10-07 15:20:03 +00:00
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The implementation depends on other modules in the `eth` package, namely: `keys`
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and `rlp`.
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## How to use
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```Nim
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let
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rng = keys.newRng
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privKey = PrivateKey.random(rng[])
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(ip, tcpPort, udpPort) = setupNat(config) # Or fill in external IP/ports manually
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d = newProtocol(privKey, ip, tcpPort, udpPort, rng = rng)
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d.open() # Start listening
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```
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This will initialize the `Protocol` and start listening. However, as no
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bootstrap nodes were passed in the `newProtocol` call, the created ENR will need
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to be advertised somehow ("out of band"), so that the node can become known to
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other nodes in the network.
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To initialize with a bootnode or a set of bootnodes, the ENRs need to be passed
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as parameter in `newProtocol`.
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```Nim
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d = newProtocol(privKey, ip, tcpPort, udpPort,
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bootstrapRecords = bootnodes)
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d.open() # Start listening and add bootstrap nodes to the routing table.
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```
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2021-01-14 08:26:19 +00:00
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Next there are two ways to run the protocol.
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One can call `d.start()` and two loops will be started:
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1. Refresh loop
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2. Revalidation loop
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The first loop will at specific interval do a query with a random `NodeId` if no
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manual queries were done for more than that interval period.
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This query will add discovered nodes to the routing table.
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The second loop will at random ranged interval send a ping to the least recently
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seen node in a random bucket. This is to keep the routing table cleared of
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unreachable/dead nodes.
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Now within the application, manual queries or lookups can be done, for which
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the discovered nodes can be used. Nodes discovered during this process will be
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attempted to be added to the routing table. One can use the `query`, `queryRandom`
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or `lookup` calls for this. `randomNodes` can also be used to find nodes,
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but this will only look into the current routing table and not actively
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search for nodes on the network.
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Or, one can decide not to run `d.start()` and do this manually within its
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application by using the available calls:
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- `query`, `queryRandom` or `lookup` for discovering more peers.
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- `revalidateNode` or directly `ping` for revalidating nodes.
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Of course, in either scenario, lookups can still be done for actually finding a
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specific node. There is a `resolve` call that can help with this, it will first
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look in the local routing table and if it finds the node it will try to contact
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the node directly to check if the ENR is up to date. If any of this fail a
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`lookup` will be done.
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## Test suite
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To run the test suite specifically for discovery v5 related (discovery v5 + its
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nim-eth dependencies) tests, one can run following command:
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```sh
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# Install required modules
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nimble install
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# Run only discovery v5 related test suite
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nimble test_discv5_full
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```
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## dcli
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This is a small command line application that allows you to run a discovery
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node. It also has the options to do a `ping` or `findNode` request to a specific
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node, by providing its ENR.
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### Example usage
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```sh
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# Install required modules
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# Make sure you have the latest modules, do NOT trust nimble on this.
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nimble install
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# Build dcli
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nim c -d:chronicles_log_level:trace -d:release --threads:on ./tools/dcli
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# See all options
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./tools/dcli --help
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# Ping another node
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./tools/dcli ping enr:<base64 encoding of ENR>
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# Run discovery node
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./tools/dcli --log-level:debug --bootnode:enr:<base64 encoding of ENR>
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```
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### Metrics
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To run dcli with metrics enabled provide the `metrics` flag:
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2020-07-12 21:53:27 +00:00
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```sh
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# Run dcli with metrics
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./tools/dcli --metrics --bootnode:enr:<base64 encoding of ENR>
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```
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You can now see the metrics at http://localhost:8008/metrics. Or use e.g.
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Prometheus to grab the data.
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