path: root/p2p/discover/table.go

// Package discover implements the Node Discovery Protocol.
//
// The Node Discovery protocol provides a way to find RLPx nodes that
// can be connected to. It uses a Kademlia-like protocol to maintain a
// distributed database of the IDs and endpoints of all listening
// nodes.
package discover

import (
    "net"
    "sort"
    "sync"
    "time"

    "github.com/ethereum/go-ethereum/logger"
    "github.com/ethereum/go-ethereum/logger/glog"
)

const (
    alpha               = 3              // Kademlia concurrency factor
    bucketSize          = 16             // Kademlia bucket size
    nBuckets            = nodeIDBits + 1 // Number of buckets
    maxBondingPingPongs = 10
)

type Table struct {
    mutex   sync.Mutex        // protects buckets, their content, and nursery
    buckets [nBuckets]*bucket // index of known nodes by distance
    nursery []*Node           // bootstrap nodes
    db      *nodeDB           // database of known nodes

    bondmu    sync.Mutex
    bonding   map[NodeID]*bondproc
    bondslots chan struct{} // limits total number of active bonding processes

    net  transport
    self *Node // metadata of the local node
}

type bondproc struct {
    err  error
    n    *Node
    done chan struct{}
}

// transport is implemented by the UDP transport.
// it is an interface so we can test without opening lots of UDP
// sockets and without generating a private key.
type transport interface {
    ping(NodeID, *net.UDPAddr) error
    waitping(NodeID) error
    findnode(toid NodeID, addr *net.UDPAddr, target NodeID) ([]*Node, error)
    close()
}

// bucket contains nodes, ordered by their last activity.
// the entry that was most recently active is the last element
// in entries.
type bucket struct {
    lastLookup time.Time
    entries    []*Node
}

func newTable(t transport, ourID NodeID, ourAddr *net.UDPAddr, nodeDBPath string) *Table {
    // If no node database was given, use an in-memory one
    db, err := newNodeDB(nodeDBPath, Version)
    if err != nil {
        glog.V(logger.Warn).Infoln("Failed to open node database:", err)
        db, _ = newNodeDB("", Version)
    }
    tab := &Table{
        net:       t,
        db:        db,
        self:      newNode(ourID, ourAddr),
        bonding:   make(map[NodeID]*bondproc),
        bondslots: make(chan struct{}, maxBondingPingPongs),
    }
    for i := 0; i < cap(tab.bondslots); i++ {
        tab.bondslots <- struct{}{}
    }
    for i := range tab.buckets {
        tab.buckets[i] = new(bucket)
    }
    return tab
}

// Self returns the local node.
func (tab *Table) Self() *Node {
    return tab.self
}

// Close terminates the network listener and flushes the node database.
func (tab *Table) Close() {
    tab.net.close()
    tab.db.close()
}

// Bootstrap sets the bootstrap nodes. These nodes are used to connect
// to the network if the table is empty. Bootstrap will also attempt to
// fill the table by performing random lookup operations on the
// network.
func (tab *Table) Bootstrap(nodes []*Node) {
    tab.mutex.Lock()
    // TODO: maybe filter nodes with bad fields (nil, etc.) to avoid strange crashes
    tab.nursery = make([]*Node, 0, len(nodes))
    for _, n := range nodes {
        cpy := *n
        tab.nursery = append(tab.nursery, &cpy)
    }
    tab.mutex.Unlock()
    tab.refresh()
}

// Lookup performs a network search for nodes close
// to the given target. It approaches the target by querying
// nodes that are closer to it on each iteration.
func (tab *Table) Lookup(target NodeID) []*Node {
    var (
        asked          = make(map[NodeID]bool)
        seen           = make(map[NodeID]bool)
        reply          = make(chan []*Node, alpha)
        pendingQueries = 0
    )
    // don't query further if we hit the target or ourself.
    // unlikely to happen often in practice.
    asked[target] = true
    asked[tab.self.ID] = true

    tab.mutex.Lock()
    // update last lookup stamp (for refresh logic)
    tab.buckets[logdist(tab.self.ID, target)].lastLookup = time.Now()
    // generate initial result set
    result := tab.closest(target, bucketSize)
    tab.mutex.Unlock()

    for {
        // ask the alpha closest nodes that we haven't asked yet
        for i := 0; i < len(result.entries) && pendingQueries < alpha; i++ {
            n := result.entries[i]
            if !asked[n.ID] {
                asked[n.ID] = true
                pendingQueries++
                go func() {
                    r, _ := tab.net.findnode(n.ID, n.addr(), target)
                    reply <- tab.bondall(r)
                }()
            }
        }
        if pendingQueries == 0 {
            // we have asked all closest nodes, stop the search
            break
        }
        // wait for the next reply
        for _, n := range <-reply {
            if n != nil && !seen[n.ID] {
                seen[n.ID] = true
                result.push(n, bucketSize)
            }
        }
        pendingQueries--
    }
    return result.entries
}

// refresh performs a lookup for a random target to keep buckets full.
func (tab *Table) refresh() {
    ld := -1 // logdist of chosen bucket
    tab.mutex.Lock()
    for i, b := range tab.buckets {
        if i > 0 && b.lastLookup.Before(time.Now().Add(-1*time.Hour)) {
            ld = i
            break
        }
    }
    tab.mutex.Unlock()

    result := tab.Lookup(randomID(tab.self.ID, ld))
    if len(result) == 0 {
        // Pick a batch of previously know seeds to lookup with
        seeds := tab.db.querySeeds(10)
        for _, seed := range seeds {
            glog.V(logger.Debug).Infoln("Seeding network with", seed)
        }
        // Bootstrap the table with a self lookup
        all := tab.bondall(append(tab.nursery, seeds...))
        tab.mutex.Lock()
        tab.add(all)
        tab.mutex.Unlock()
        tab.Lookup(tab.self.ID)
        // TODO: the Kademlia paper says that we're supposed to perform
        // random lookups in all buckets further away than our closest neighbor.
    }
}

// closest returns the n nodes in the table that are closest to the
// given id. The caller must hold tab.mutex.
func (tab *Table) closest(target NodeID, nresults int) *nodesByDistance {
    // This is a very wasteful way to find the closest nodes but
    // obviously correct. I believe that tree-based buckets would make
    // this easier to implement efficiently.
    close := &nodesByDistance{target: target}
    for _, b := range tab.buckets {
        for _, n := range b.entries {
            close.push(n, nresults)
        }
    }
    return close
}

func (tab *Table) len() (n int) {
    for _, b := range tab.buckets {
        n += len(b.entries)
    }
    return n
}

// bondall bonds with all given nodes concurrently and returns
// those nodes for which bonding has probably succeeded.
func (tab *Table) bondall(nodes []*Node) (result []*Node) {
    rc := make(chan *Node, len(nodes))
    for i := range nodes {
        go func(n *Node) {
            nn, _ := tab.bond(false, n.ID, n.addr(), uint16(n.TCPPort))
            rc <- nn
        }(nodes[i])
    }
    for _ = range nodes {
        if n := <-rc; n != nil {
            result = append(result, n)
        }
    }
    return result
}

// bond ensures the local node has a bond with the given remote node.
// It also attempts to insert the node into the table if bonding succeeds.
// The caller must not hold tab.mutex.
//
// A bond is must be established before sending findnode requests.
// Both sides must have completed a ping/pong exchange for a bond to
// exist. The total number of active bonding processes is limited in
// order to restrain network use.
//
// bond is meant to operate idempotently in that bonding with a remote
// node which still remembers a previously established bond will work.
// The remote node will simply not send a ping back, causing waitping
// to time out.
//
// If pinged is true, the remote node has just pinged us and one half
// of the process can be skipped.
func (tab *Table) bond(pinged bool, id NodeID, addr *net.UDPAddr, tcpPort uint16) (*Node, error) {
    var n *Node
    if n = tab.db.node(id); n == nil {
        tab.bondmu.Lock()
        w := tab.bonding[id]
        if w != nil {
            // Wait for an existing bonding process to complete.
            tab.bondmu.Unlock()
            <-w.done
        } else {
            // Register a new bonding process.
            w = &bondproc{done: make(chan struct{})}
            tab.bonding[id] = w
            tab.bondmu.Unlock()
            // Do the ping/pong. The result goes into w.
            tab.pingpong(w, pinged, id, addr, tcpPort)
            // Unregister the process after it's done.
            tab.bondmu.Lock()
            delete(tab.bonding, id)
            tab.bondmu.Unlock()
        }
        n = w.n
        if w.err != nil {
            return nil, w.err
        }
    }
    tab.mutex.Lock()
    defer tab.mutex.Unlock()
    if b := tab.buckets[logdist(tab.self.ID, n.ID)]; !b.bump(n) {
        tab.pingreplace(n, b)
    }
    return n, nil
}

func (tab *Table) pingpong(w *bondproc, pinged bool, id NodeID, addr *net.UDPAddr, tcpPort uint16) {
    // Request a bonding slot to limit network usage
    <-tab.bondslots
    defer func() { tab.bondslots <- struct{}{} }()

    // Ping the remote side and wait for a pong
    if w.err = tab.ping(id, addr); w.err != nil {
        close(w.done)
        return
    }
    if !pinged {
        // Give the remote node a chance to ping us before we start
        // sending findnode requests. If they still remember us,
        // waitping will simply time out.
        tab.net.waitping(id)
    }
    // Bonding succeeded, update the node database
    w.n = &Node{
        ID:       id,
        IP:       addr.IP,
        DiscPort: addr.Port,
        TCPPort:  int(tcpPort),
    }
    tab.db.updateNode(w.n)
    close(w.done)
}

func (tab *Table) pingreplace(new *Node, b *bucket) {
    if len(b.entries) == bucketSize {
        oldest := b.entries[bucketSize-1]
        if err := tab.ping(oldest.ID, oldest.addr()); err == nil {
            // The node responded, we don't need to replace it.
            return
        }
    } else {
        // Add a slot at the end so the last entry doesn't
        // fall off when adding the new node.
        b.entries = append(b.entries, nil)
    }
    copy(b.entries[1:], b.entries)
    b.entries[0] = new
}

// ping a remote endpoint and wait for a reply, also updating the node database
// accordingly.
func (tab *Table) ping(id NodeID, addr *net.UDPAddr) error {
    // Update the last ping and send the message
    tab.db.updateLastPing(id, time.Now())
    if err := tab.net.ping(id, addr); err != nil {
        return err
    }
    // Pong received, update the database and return
    tab.db.updateLastPong(id, time.Now())
    return nil
}

// add puts the entries into the table if their corresponding
// bucket is not full. The caller must hold tab.mutex.
func (tab *Table) add(entries []*Node) {
outer:
    for _, n := range entries {
        if n == nil || n.ID == tab.self.ID {
            // skip bad entries. The RLP decoder returns nil for empty
            // input lists.
            continue
        }
        bucket := tab.buckets[logdist(tab.self.ID, n.ID)]
        for i := range bucket.entries {
            if bucket.entries[i].ID == n.ID {
                // already in bucket
                continue outer
            }
        }
        if len(bucket.entries) < bucketSize {
            bucket.entries = append(bucket.entries, n)
        }
    }
}

func (b *bucket) bump(n *Node) bool {
    for i := range b.entries {
        if b.entries[i].ID == n.ID {
            // move it to the front
            copy(b.entries[1:], b.entries[:i])
            b.entries[0] = n
            return true
        }
    }
    return false
}

// nodesByDistance is a list of nodes, ordered by
// distance to target.
type nodesByDistance struct {
    entries []*Node
    target  NodeID
}

// push adds the given node to the list, keeping the total size below maxElems.
func (h *nodesByDistance) push(n *Node, maxElems int) {
    ix := sort.Search(len(h.entries), func(i int) bool {
        return distcmp(h.target, h.entries[i].ID, n.ID) > 0
    })
    if len(h.entries) < maxElems {
        h.entries = append(h.entries, n)
    }
    if ix == len(h.entries) {
        // farther away than all nodes we already have.
        // if there was room for it, the node is now the last element.
    } else {
        // slide existing entries down to make room
        // this will overwrite the entry we just appended.
        copy(h.entries[ix+1:], h.entries[ix:])
        h.entries[ix] = n
    }
}