k-bucket
Stability: 1 - Experimental
Kademlia DHT K-bucket implementation as a binary tree.
Contributors
@tristanls, @mikedeboer
Installation
npm install k-bucket
Tests
npm test
Usage
var KBucket = require('k-bucket');
var kBucket = new KBucket({
localNodeId: new Buffer("my node id")
});
Overview
A Distributed Hash Table (DHT) is a decentralized distributed system that provides a lookup table similar to a hash table.
k-bucket is an implementation of a storage mechanism for keys within a DHT. It stores contact
objects which represent locations and addresses of nodes in the decentralized distributed system. contact
objects are typically identified by a SHA-1 hash, however this restriction is lifted in this implementation. Additionally, node ids of different lengths can be compared.
This Kademlia DHT k-bucket implementation is meant to be as minimal as possible. It assumes that contact
objects consist only of id
, and an optional vectorClock
. It is useful, and necessary, to attach other properties to a contact
. For example, one may want to attach ip
and port
properties which allow the application to send IP traffic to the contact
. However, this information is extraneous and irrelevant to the operation of a k-bucket.
It is worth highlighting the presence of an optional vectorClock
as part of contact
implementation. The purpose of the vectorClock
(a simple integer) is to enable distinguishing between contact
objects that may have "physically" moved to a different machine while keeping the same contact.id
. This is useful when working with actors and an actor moves from one machine to another.
Documentation
KBucket
Implementation of a Kademlia DHT k-bucket used for storing contact (peer node) information.
KBucket starts off as a single k-bucket with capacity of k. As contacts are added, once the k+1 contact is added, the k-bucket is split into two k-buckets. The split happens according to the first bit of the contact node id. The k-bucket that would contain the local node id is the "near" k-bucket, and the other one is the "far" k-bucket. The "far" k-bucket is marked as don't split in order to prevent further splitting. The contact nodes that existed are then redistributed along the two new k-buckets and the old k-bucket becomes an inner node within a tree data structure.
As even more contacts are added to the "near" k-bucket, the "near" k-bucket will split again as it becomes full. However, this time it is split along the second bit of the contact node id. Again, the two newly created k-buckets are marked "near" and "far" and the "far" k-bucket is marked as don't split. Again, the contact nodes that existed in the old bucket are redistributed. This continues as long as nodes are being added to the "near" k-bucket, until the number of splits reaches the length of the local node id.
As more contacts are added to the "far" k-bucket and it reaches its capacity, it does not split. Instead, the k-bucket emits a "ping" event (register a listener: kBucket.on('ping', function (oldContacts, newContact) {...});
and includes an array of old contact nodes that it hasn't heard from in a while and requires you to confirm that those contact nodes still respond (literally respond to a PING RPC). If an old contact node still responds, it should be re-added (kBucket.add(oldContact)
) back to the k-bucket. This puts the old contact on the "recently heard from" end of the list of nodes in the k-bucket. If the old contact does not respond, it should be removed (kBucket.remove(oldContact)
) and the new contact being added now has room to be stored (kBucket.add(newContact)
).
Public API
KBucket.distance(firstId, secondId)
firstId
: Buffer Buffer containing first id.secondId
: Buffer Buffer containing second id.- Return: Integer The XOR distance between
firstId
and secondId
.
Finds the XOR distance between firstId and secondId.
new KBucket(options)
options
:
localNodeId
: String (base64) or Buffer An optional String or a Buffer representing the local node id. If not provided, a local node id will be created via crypto.createHash('sha1').update('' + new Date().getTime() + process.hrtime()[1]).digest()
. If a String is provided, it will be assumed to be base64 encoded and will be converted into a Buffer.root
: Object CAUTION: reserved for internal use Provides a reference to the root of the tree data structure as the k-bucket splits when new contacts are added.
Creates a new KBucket.
kBucket.add(contact, [bitIndex])
contact
: Object The contact object to add.
id
: Buffer Contact node id.- Any satellite data that is part of the
contact
object will not be altered, only id
is used.
bitIndex
: Integer (Default: 0) CAUTION: reserved for internal use The bit index to which bit to check in the id
Buffer.- Return: Object The k-bucket itself.
Adds a contact
to the k-bucket.
kBucket.closest(contact, n, [bitIndex])
contact
: Object The contact object to find closest contacts to.
id
: Buffer Contact node id.- Any satellite data that is part of the
contact
object will not be altered, only id
is used.
n
: Integer The maximum number of closest contacts to return.bitIndex
: Integer (Default: 0) CAUTION: reserved for internal use The bit index to which bit to check in the id
Buffer.- Return: Array Maximum of
n
closest contacts to the contact
.
Get the n
closest contacts to the provided contact
. "Closest" here means: closest according to the XOR metric of the contact
node id.
kBucket.determineBucket(id, [bitIndex])
CAUTION: reserved for internal use
id
: Buffer Id to compare localNodeId
with.bitIndex
: Integer (Default: 0) The bit index to which bit to check in the id
Buffer.- Return: Integer -1 if
id
at bitIndex
is 0, 1 otherwise.
Determines whether the id
at the bitIndex
is 0 or 1. If 0, returns -1, else 1.
kBucket.indexOf(contact)
CAUTION: reserved for internal use
contact
: Object The contact object.
id
: Buffer Contact node id.- Any satellite data that is part of the
contact
object will not be altered, only id
is used.
- Return: Integer Index of
contact
if it exists, -1 otherwise.
Returns the index of the contact
if it exists, returns -1 otherwise.
NOTE: kBucket.indexOf(contact)
does not compare contact.vectorClock
kBucket.remove(contact, [bitIndex])
contact
: Object The contact object to remove.
id
: Buffer contact node id.- Any satellite data can be part of the
contact
object, only id
is used
bitIndex
: Integer (Default: 0) CAUTION: reserved for internal use The bit index to which bit to check in the id
Buffer.- Return: Object The k-bucket itself.
Removes the contact
.
kBucket.splitAndAdd(contact, [bitIndex])
CAUTION: reserved for internal use
contact
: Object The contact object to add.
id
: Buffer Contact node id.- Any satellite data that is part of the
contact
object will not be altered, only id
is used.
bitIndex
: Integer (Default: 0) The bit index to which bit to check in the id
Buffer.- Return: Object The k-bucket itself.
Splits the bucket, redistributes contacts to the new buckets, and marks the bucket that was split as an inner node of the binary tree of buckets by setting self.bucket = undefined
. Also, marks the "far away" bucket as dontSplit
.
kBucket.update(contact, index)
CAUTION: reserved for internal use
contact
: Object The contact object to update.
id
: Buffer Contact node id- Any satellite data that is part of the
contact
object will not be altered, only id
is used.
index
: Integer The index in the bucket where contact exists (index has already been computed in previous calculation).
Updates the contact
and compares the vector clocks if provided. If new contact
vector clock is deprecated, contact
is abandoned (not added). If new contact
vector clock is the same, contact
is marked as moste recently contacted (by being moved to the right/end of the bucket array). If new contact
vector clock is more recent, the old contact
is removed and the new contact is marked as most recently contacted.
Event: 'ping'
oldContacts
: Array The array of contacts to ping.newContact
: Object The new contact to be added if one of old contacts does not respond.
Emitted every time a contact is added that would exceed the capacity of a don't split k-bucket it belongs to.
Sources
The implementation has been sourced from: