088bc34194
* les/vflux/server: fix metrics * les/vflux/server: fix metrics
692 lines
23 KiB
Go
692 lines
23 KiB
Go
// Copyright 2020 The go-ethereum Authors
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// This file is part of the go-ethereum library.
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//
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// The go-ethereum library is free software: you can redistribute it and/or modify
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// it under the terms of the GNU Lesser General Public License as published by
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// the Free Software Foundation, either version 3 of the License, or
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// (at your option) any later version.
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//
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// The go-ethereum library is distributed in the hope that it will be useful,
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// but WITHOUT ANY WARRANTY; without even the implied warranty of
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// MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
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// GNU Lesser General Public License for more details.
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//
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// You should have received a copy of the GNU Lesser General Public License
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// along with the go-ethereum library. If not, see <http://www.gnu.org/licenses/>.
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package server
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import (
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"math"
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"sync"
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"time"
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"github.com/ethereum/go-ethereum/common/mclock"
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"github.com/ethereum/go-ethereum/common/prque"
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"github.com/ethereum/go-ethereum/log"
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"github.com/ethereum/go-ethereum/p2p/enode"
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"github.com/ethereum/go-ethereum/p2p/nodestate"
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)
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const (
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lazyQueueRefresh = time.Second * 10 // refresh period of the active queue
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)
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// priorityPool handles a set of nodes where each node has a capacity (a scalar value)
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// and a priority (which can change over time and can also depend on the capacity).
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// A node is active if it has at least the necessary minimal amount of capacity while
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// inactive nodes have 0 capacity (values between 0 and the minimum are not allowed).
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// The pool ensures that the number and total capacity of all active nodes are limited
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// and the highest priority nodes are active at all times (limits can be changed
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// during operation with immediate effect).
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//
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// When activating clients a priority bias is applied in favor of the already active
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// nodes in order to avoid nodes quickly alternating between active and inactive states
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// when their priorities are close to each other. The bias is specified in terms of
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// duration (time) because priorities are expected to usually get lower over time and
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// therefore a future minimum prediction (see EstMinPriority) should monotonously
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// decrease with the specified time parameter.
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// This time bias can be interpreted as minimum expected active time at the given
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// capacity (if the threshold priority stays the same).
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//
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// Nodes in the pool always have either inactiveFlag or activeFlag set. A new node is
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// added to the pool by externally setting inactiveFlag. priorityPool can switch a node
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// between inactiveFlag and activeFlag at any time. Nodes can be removed from the pool
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// by externally resetting both flags. activeFlag should not be set externally.
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//
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// The highest priority nodes in "inactive" state are moved to "active" state as soon as
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// the minimum capacity can be granted for them. The capacity of lower priority active
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// nodes is reduced or they are demoted to "inactive" state if their priority is
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// insufficient even at minimal capacity.
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type priorityPool struct {
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setup *serverSetup
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ns *nodestate.NodeStateMachine
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clock mclock.Clock
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lock sync.Mutex
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maxCount, maxCap uint64
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minCap uint64
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activeBias time.Duration
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capacityStepDiv, fineStepDiv uint64
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// The snapshot of priority pool for query.
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cachedCurve *capacityCurve
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ccUpdatedAt mclock.AbsTime
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ccUpdateForced bool
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// Runtime status of prioritypool, represents the
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// temporary state if tempState is not empty
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tempState []*ppNodeInfo
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activeCount, activeCap uint64
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activeQueue *prque.LazyQueue
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inactiveQueue *prque.Prque
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}
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// ppNodeInfo is the internal node descriptor of priorityPool
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type ppNodeInfo struct {
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nodePriority nodePriority
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node *enode.Node
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connected bool
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capacity uint64 // only changed when temporary state is committed
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activeIndex, inactiveIndex int
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tempState bool // should only be true while the priorityPool lock is held
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tempCapacity uint64 // equals capacity when tempState is false
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// the following fields only affect the temporary state and they are set to their
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// default value when leaving the temp state
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minTarget, stepDiv uint64
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bias time.Duration
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}
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// newPriorityPool creates a new priorityPool
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func newPriorityPool(ns *nodestate.NodeStateMachine, setup *serverSetup, clock mclock.Clock, minCap uint64, activeBias time.Duration, capacityStepDiv, fineStepDiv uint64) *priorityPool {
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pp := &priorityPool{
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setup: setup,
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ns: ns,
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clock: clock,
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inactiveQueue: prque.New(inactiveSetIndex),
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minCap: minCap,
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activeBias: activeBias,
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capacityStepDiv: capacityStepDiv,
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fineStepDiv: fineStepDiv,
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}
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if pp.activeBias < time.Duration(1) {
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pp.activeBias = time.Duration(1)
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}
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pp.activeQueue = prque.NewLazyQueue(activeSetIndex, activePriority, pp.activeMaxPriority, clock, lazyQueueRefresh)
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ns.SubscribeField(pp.setup.balanceField, func(node *enode.Node, state nodestate.Flags, oldValue, newValue interface{}) {
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if newValue != nil {
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c := &ppNodeInfo{
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node: node,
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nodePriority: newValue.(nodePriority),
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activeIndex: -1,
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inactiveIndex: -1,
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}
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ns.SetFieldSub(node, pp.setup.queueField, c)
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ns.SetStateSub(node, setup.inactiveFlag, nodestate.Flags{}, 0)
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} else {
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ns.SetStateSub(node, nodestate.Flags{}, pp.setup.activeFlag.Or(pp.setup.inactiveFlag), 0)
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if n, _ := pp.ns.GetField(node, pp.setup.queueField).(*ppNodeInfo); n != nil {
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pp.disconnectNode(n)
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}
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ns.SetFieldSub(node, pp.setup.capacityField, nil)
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ns.SetFieldSub(node, pp.setup.queueField, nil)
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}
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})
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ns.SubscribeState(pp.setup.activeFlag.Or(pp.setup.inactiveFlag), func(node *enode.Node, oldState, newState nodestate.Flags) {
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if c, _ := pp.ns.GetField(node, pp.setup.queueField).(*ppNodeInfo); c != nil {
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if oldState.IsEmpty() {
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pp.connectNode(c)
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}
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if newState.IsEmpty() {
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pp.disconnectNode(c)
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}
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}
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})
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ns.SubscribeState(pp.setup.updateFlag, func(node *enode.Node, oldState, newState nodestate.Flags) {
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if !newState.IsEmpty() {
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pp.updatePriority(node)
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}
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})
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return pp
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}
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// requestCapacity tries to set the capacity of a connected node to the highest possible
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// value inside the given target range. If maxTarget is not reachable then the capacity is
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// iteratively reduced in fine steps based on the fineStepDiv parameter until minTarget is reached.
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// The function returns the new capacity if successful and the original capacity otherwise.
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// Note: this function should run inside a NodeStateMachine operation
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func (pp *priorityPool) requestCapacity(node *enode.Node, minTarget, maxTarget uint64, bias time.Duration) uint64 {
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pp.lock.Lock()
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pp.activeQueue.Refresh()
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if minTarget < pp.minCap {
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minTarget = pp.minCap
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}
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if maxTarget < minTarget {
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maxTarget = minTarget
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}
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if bias < pp.activeBias {
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bias = pp.activeBias
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}
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c, _ := pp.ns.GetField(node, pp.setup.queueField).(*ppNodeInfo)
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if c == nil {
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log.Error("requestCapacity called for unknown node", "id", node.ID())
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pp.lock.Unlock()
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return 0
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}
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pp.setTempState(c)
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if maxTarget > c.capacity {
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pp.setTempStepDiv(c, pp.fineStepDiv)
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pp.setTempBias(c, bias)
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}
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pp.setTempCapacity(c, maxTarget)
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c.minTarget = minTarget
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pp.activeQueue.Remove(c.activeIndex)
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pp.inactiveQueue.Remove(c.inactiveIndex)
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pp.activeQueue.Push(c)
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pp.enforceLimits()
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updates := pp.finalizeChanges(c.tempCapacity >= minTarget && c.tempCapacity <= maxTarget && c.tempCapacity != c.capacity)
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pp.lock.Unlock()
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pp.updateFlags(updates)
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return c.capacity
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}
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// SetLimits sets the maximum number and total capacity of simultaneously active nodes
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func (pp *priorityPool) SetLimits(maxCount, maxCap uint64) {
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pp.lock.Lock()
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pp.activeQueue.Refresh()
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inc := (maxCount > pp.maxCount) || (maxCap > pp.maxCap)
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dec := (maxCount < pp.maxCount) || (maxCap < pp.maxCap)
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pp.maxCount, pp.maxCap = maxCount, maxCap
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var updates []capUpdate
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if dec {
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pp.enforceLimits()
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updates = pp.finalizeChanges(true)
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}
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if inc {
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updates = append(updates, pp.tryActivate(false)...)
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}
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pp.lock.Unlock()
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pp.ns.Operation(func() { pp.updateFlags(updates) })
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}
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// setActiveBias sets the bias applied when trying to activate inactive nodes
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func (pp *priorityPool) setActiveBias(bias time.Duration) {
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pp.lock.Lock()
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pp.activeBias = bias
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if pp.activeBias < time.Duration(1) {
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pp.activeBias = time.Duration(1)
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}
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updates := pp.tryActivate(false)
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pp.lock.Unlock()
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pp.ns.Operation(func() { pp.updateFlags(updates) })
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}
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// Active returns the number and total capacity of currently active nodes
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func (pp *priorityPool) Active() (uint64, uint64) {
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pp.lock.Lock()
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defer pp.lock.Unlock()
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return pp.activeCount, pp.activeCap
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}
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// Inactive returns the number of currently inactive nodes
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func (pp *priorityPool) Inactive() int {
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pp.lock.Lock()
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defer pp.lock.Unlock()
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return pp.inactiveQueue.Size()
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}
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// Limits returns the maximum allowed number and total capacity of active nodes
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func (pp *priorityPool) Limits() (uint64, uint64) {
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pp.lock.Lock()
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defer pp.lock.Unlock()
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return pp.maxCount, pp.maxCap
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}
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// inactiveSetIndex callback updates ppNodeInfo item index in inactiveQueue
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func inactiveSetIndex(a interface{}, index int) {
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a.(*ppNodeInfo).inactiveIndex = index
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}
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// activeSetIndex callback updates ppNodeInfo item index in activeQueue
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func activeSetIndex(a interface{}, index int) {
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a.(*ppNodeInfo).activeIndex = index
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}
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// invertPriority inverts a priority value. The active queue uses inverted priorities
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// because the node on the top is the first to be deactivated.
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func invertPriority(p int64) int64 {
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if p == math.MinInt64 {
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return math.MaxInt64
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}
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return -p
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}
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// activePriority callback returns actual priority of ppNodeInfo item in activeQueue
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func activePriority(a interface{}) int64 {
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c := a.(*ppNodeInfo)
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if c.bias == 0 {
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return invertPriority(c.nodePriority.priority(c.tempCapacity))
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} else {
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return invertPriority(c.nodePriority.estimatePriority(c.tempCapacity, 0, 0, c.bias, true))
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}
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}
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// activeMaxPriority callback returns estimated maximum priority of ppNodeInfo item in activeQueue
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func (pp *priorityPool) activeMaxPriority(a interface{}, until mclock.AbsTime) int64 {
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c := a.(*ppNodeInfo)
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future := time.Duration(until - pp.clock.Now())
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if future < 0 {
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future = 0
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}
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return invertPriority(c.nodePriority.estimatePriority(c.tempCapacity, 0, future, c.bias, false))
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}
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// inactivePriority callback returns actual priority of ppNodeInfo item in inactiveQueue
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func (pp *priorityPool) inactivePriority(p *ppNodeInfo) int64 {
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return p.nodePriority.priority(pp.minCap)
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}
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// connectNode is called when a new node has been added to the pool (inactiveFlag set)
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// Note: this function should run inside a NodeStateMachine operation
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func (pp *priorityPool) connectNode(c *ppNodeInfo) {
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pp.lock.Lock()
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pp.activeQueue.Refresh()
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if c.connected {
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pp.lock.Unlock()
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return
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}
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c.connected = true
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pp.inactiveQueue.Push(c, pp.inactivePriority(c))
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updates := pp.tryActivate(false)
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pp.lock.Unlock()
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pp.updateFlags(updates)
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}
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// disconnectNode is called when a node has been removed from the pool (both inactiveFlag
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// and activeFlag reset)
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// Note: this function should run inside a NodeStateMachine operation
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func (pp *priorityPool) disconnectNode(c *ppNodeInfo) {
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pp.lock.Lock()
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pp.activeQueue.Refresh()
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if !c.connected {
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pp.lock.Unlock()
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return
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}
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c.connected = false
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pp.activeQueue.Remove(c.activeIndex)
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pp.inactiveQueue.Remove(c.inactiveIndex)
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var updates []capUpdate
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if c.capacity != 0 {
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pp.setTempState(c)
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pp.setTempCapacity(c, 0)
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updates = pp.tryActivate(true)
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}
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pp.lock.Unlock()
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pp.updateFlags(updates)
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}
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// setTempState internally puts a node in a temporary state that can either be reverted
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// or confirmed later. This temporary state allows changing the capacity of a node and
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// moving it between the active and inactive queue. activeFlag/inactiveFlag and
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// capacityField are not changed while the changes are still temporary.
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func (pp *priorityPool) setTempState(c *ppNodeInfo) {
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if c.tempState {
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return
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}
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c.tempState = true
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if c.tempCapacity != c.capacity { // should never happen
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log.Error("tempCapacity != capacity when entering tempState")
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}
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// Assign all the defaults to the temp state.
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c.minTarget = pp.minCap
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c.stepDiv = pp.capacityStepDiv
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c.bias = 0
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pp.tempState = append(pp.tempState, c)
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}
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// unsetTempState revokes the temp status of the node and reset all internal
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// fields to the default value.
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func (pp *priorityPool) unsetTempState(c *ppNodeInfo) {
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if !c.tempState {
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return
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}
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c.tempState = false
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if c.tempCapacity != c.capacity { // should never happen
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log.Error("tempCapacity != capacity when leaving tempState")
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}
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c.minTarget = pp.minCap
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c.stepDiv = pp.capacityStepDiv
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c.bias = 0
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}
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// setTempCapacity changes the capacity of a node in the temporary state and adjusts
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// activeCap and activeCount accordingly. Since this change is performed in the temporary
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// state it should be called after setTempState and before finalizeChanges.
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func (pp *priorityPool) setTempCapacity(c *ppNodeInfo, cap uint64) {
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if !c.tempState { // should never happen
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log.Error("Node is not in temporary state")
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return
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}
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pp.activeCap += cap - c.tempCapacity
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if c.tempCapacity == 0 {
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pp.activeCount++
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}
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if cap == 0 {
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pp.activeCount--
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}
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c.tempCapacity = cap
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}
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// setTempBias changes the connection bias of a node in the temporary state.
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func (pp *priorityPool) setTempBias(c *ppNodeInfo, bias time.Duration) {
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if !c.tempState { // should never happen
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log.Error("Node is not in temporary state")
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return
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}
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c.bias = bias
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}
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// setTempStepDiv changes the capacity divisor of a node in the temporary state.
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func (pp *priorityPool) setTempStepDiv(c *ppNodeInfo, stepDiv uint64) {
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if !c.tempState { // should never happen
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log.Error("Node is not in temporary state")
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return
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}
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c.stepDiv = stepDiv
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}
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// enforceLimits enforces active node count and total capacity limits. It returns the
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// lowest active node priority. Note that this function is performed on the temporary
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// internal state.
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func (pp *priorityPool) enforceLimits() (*ppNodeInfo, int64) {
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if pp.activeCap <= pp.maxCap && pp.activeCount <= pp.maxCount {
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return nil, math.MinInt64
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}
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var (
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c *ppNodeInfo
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maxActivePriority int64
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)
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pp.activeQueue.MultiPop(func(data interface{}, priority int64) bool {
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c = data.(*ppNodeInfo)
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pp.setTempState(c)
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maxActivePriority = priority
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if c.tempCapacity == c.minTarget || pp.activeCount > pp.maxCount {
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pp.setTempCapacity(c, 0)
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} else {
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sub := c.tempCapacity / c.stepDiv
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if sub == 0 {
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sub = 1
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}
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if c.tempCapacity-sub < c.minTarget {
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sub = c.tempCapacity - c.minTarget
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}
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pp.setTempCapacity(c, c.tempCapacity-sub)
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pp.activeQueue.Push(c)
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}
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return pp.activeCap > pp.maxCap || pp.activeCount > pp.maxCount
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})
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return c, invertPriority(maxActivePriority)
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}
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// finalizeChanges either commits or reverts temporary changes. The necessary capacity
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// field and according flag updates are not performed here but returned in a list because
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// they should be performed while the mutex is not held.
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func (pp *priorityPool) finalizeChanges(commit bool) (updates []capUpdate) {
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for _, c := range pp.tempState {
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// always remove and push back in order to update biased priority
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pp.activeQueue.Remove(c.activeIndex)
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pp.inactiveQueue.Remove(c.inactiveIndex)
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oldCapacity := c.capacity
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if commit {
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c.capacity = c.tempCapacity
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} else {
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pp.setTempCapacity(c, c.capacity) // revert activeCount/activeCap
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}
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pp.unsetTempState(c)
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if c.connected {
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if c.capacity != 0 {
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pp.activeQueue.Push(c)
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} else {
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pp.inactiveQueue.Push(c, pp.inactivePriority(c))
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}
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if c.capacity != oldCapacity {
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updates = append(updates, capUpdate{c.node, oldCapacity, c.capacity})
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}
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}
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}
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pp.tempState = nil
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if commit {
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pp.ccUpdateForced = true
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}
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return
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}
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// capUpdate describes a capacityField and activeFlag/inactiveFlag update
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type capUpdate struct {
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node *enode.Node
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oldCap, newCap uint64
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}
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// updateFlags performs capacityField and activeFlag/inactiveFlag updates while the
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// pool mutex is not held
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// Note: this function should run inside a NodeStateMachine operation
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func (pp *priorityPool) updateFlags(updates []capUpdate) {
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for _, f := range updates {
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if f.oldCap == 0 {
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pp.ns.SetStateSub(f.node, pp.setup.activeFlag, pp.setup.inactiveFlag, 0)
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}
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if f.newCap == 0 {
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pp.ns.SetStateSub(f.node, pp.setup.inactiveFlag, pp.setup.activeFlag, 0)
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pp.ns.SetFieldSub(f.node, pp.setup.capacityField, nil)
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} else {
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pp.ns.SetFieldSub(f.node, pp.setup.capacityField, f.newCap)
|
|
}
|
|
}
|
|
}
|
|
|
|
// tryActivate tries to activate inactive nodes if possible
|
|
func (pp *priorityPool) tryActivate(commit bool) []capUpdate {
|
|
for pp.inactiveQueue.Size() > 0 {
|
|
c := pp.inactiveQueue.PopItem().(*ppNodeInfo)
|
|
pp.setTempState(c)
|
|
pp.setTempBias(c, pp.activeBias)
|
|
pp.setTempCapacity(c, pp.minCap)
|
|
pp.activeQueue.Push(c)
|
|
pp.enforceLimits()
|
|
if c.tempCapacity > 0 {
|
|
commit = true
|
|
pp.setTempBias(c, 0)
|
|
} else {
|
|
break
|
|
}
|
|
}
|
|
pp.ccUpdateForced = true
|
|
return pp.finalizeChanges(commit)
|
|
}
|
|
|
|
// updatePriority gets the current priority value of the given node from the nodePriority
|
|
// interface and performs the necessary changes. It is triggered by updateFlag.
|
|
// Note: this function should run inside a NodeStateMachine operation
|
|
func (pp *priorityPool) updatePriority(node *enode.Node) {
|
|
pp.lock.Lock()
|
|
pp.activeQueue.Refresh()
|
|
c, _ := pp.ns.GetField(node, pp.setup.queueField).(*ppNodeInfo)
|
|
if c == nil || !c.connected {
|
|
pp.lock.Unlock()
|
|
return
|
|
}
|
|
pp.activeQueue.Remove(c.activeIndex)
|
|
pp.inactiveQueue.Remove(c.inactiveIndex)
|
|
if c.capacity != 0 {
|
|
pp.activeQueue.Push(c)
|
|
} else {
|
|
pp.inactiveQueue.Push(c, pp.inactivePriority(c))
|
|
}
|
|
updates := pp.tryActivate(false)
|
|
pp.lock.Unlock()
|
|
pp.updateFlags(updates)
|
|
}
|
|
|
|
// capacityCurve is a snapshot of the priority pool contents in a format that can efficiently
|
|
// estimate how much capacity could be granted to a given node at a given priority level.
|
|
type capacityCurve struct {
|
|
points []curvePoint // curve points sorted in descending order of priority
|
|
index map[enode.ID][]int // curve point indexes belonging to each node
|
|
excludeList []int // curve point indexes of excluded node
|
|
excludeFirst bool // true if activeCount == maxCount
|
|
}
|
|
|
|
type curvePoint struct {
|
|
freeCap uint64 // available capacity and node count at the current priority level
|
|
nextPri int64 // next priority level where more capacity will be available
|
|
}
|
|
|
|
// getCapacityCurve returns a new or recently cached capacityCurve based on the contents of the pool
|
|
func (pp *priorityPool) getCapacityCurve() *capacityCurve {
|
|
pp.lock.Lock()
|
|
defer pp.lock.Unlock()
|
|
|
|
now := pp.clock.Now()
|
|
dt := time.Duration(now - pp.ccUpdatedAt)
|
|
if !pp.ccUpdateForced && pp.cachedCurve != nil && dt < time.Second*10 {
|
|
return pp.cachedCurve
|
|
}
|
|
|
|
pp.ccUpdateForced = false
|
|
pp.ccUpdatedAt = now
|
|
curve := &capacityCurve{
|
|
index: make(map[enode.ID][]int),
|
|
}
|
|
pp.cachedCurve = curve
|
|
|
|
var excludeID enode.ID
|
|
excludeFirst := pp.maxCount == pp.activeCount
|
|
// reduce node capacities or remove nodes until nothing is left in the queue;
|
|
// record the available capacity and the necessary priority after each step
|
|
lastPri := int64(math.MinInt64)
|
|
for pp.activeCap > 0 {
|
|
cp := curvePoint{}
|
|
if pp.activeCap > pp.maxCap {
|
|
log.Error("Active capacity is greater than allowed maximum", "active", pp.activeCap, "maximum", pp.maxCap)
|
|
} else {
|
|
cp.freeCap = pp.maxCap - pp.activeCap
|
|
}
|
|
// temporarily increase activeCap to enforce reducing or removing a node capacity
|
|
tempCap := cp.freeCap + 1
|
|
pp.activeCap += tempCap
|
|
var next *ppNodeInfo
|
|
// enforceLimits removes the lowest priority node if it has minimal capacity,
|
|
// otherwise reduces its capacity
|
|
next, cp.nextPri = pp.enforceLimits()
|
|
if cp.nextPri < lastPri {
|
|
// enforce monotonicity which may be broken by continuously changing priorities
|
|
cp.nextPri = lastPri
|
|
} else {
|
|
lastPri = cp.nextPri
|
|
}
|
|
pp.activeCap -= tempCap
|
|
if next == nil {
|
|
log.Error("getCapacityCurve: cannot remove next element from the priority queue")
|
|
break
|
|
}
|
|
id := next.node.ID()
|
|
if excludeFirst {
|
|
// if the node count limit is already reached then mark the node with the
|
|
// lowest priority for exclusion
|
|
curve.excludeFirst = true
|
|
excludeID = id
|
|
excludeFirst = false
|
|
}
|
|
// multiple curve points and therefore multiple indexes may belong to a node
|
|
// if it was removed in multiple steps (if its capacity was more than the minimum)
|
|
curve.index[id] = append(curve.index[id], len(curve.points))
|
|
curve.points = append(curve.points, cp)
|
|
}
|
|
// restore original state of the queue
|
|
pp.finalizeChanges(false)
|
|
curve.points = append(curve.points, curvePoint{
|
|
freeCap: pp.maxCap,
|
|
nextPri: math.MaxInt64,
|
|
})
|
|
if curve.excludeFirst {
|
|
curve.excludeList = curve.index[excludeID]
|
|
}
|
|
return curve
|
|
}
|
|
|
|
// exclude returns a capacityCurve with the given node excluded from the original curve
|
|
func (cc *capacityCurve) exclude(id enode.ID) *capacityCurve {
|
|
if excludeList, ok := cc.index[id]; ok {
|
|
// return a new version of the curve (only one excluded node can be selected)
|
|
// Note: if the first node was excluded by default (excludeFirst == true) then
|
|
// we can forget about that and exclude the node with the given id instead.
|
|
return &capacityCurve{
|
|
points: cc.points,
|
|
index: cc.index,
|
|
excludeList: excludeList,
|
|
}
|
|
}
|
|
return cc
|
|
}
|
|
|
|
func (cc *capacityCurve) getPoint(i int) curvePoint {
|
|
cp := cc.points[i]
|
|
if i == 0 && cc.excludeFirst {
|
|
cp.freeCap = 0
|
|
return cp
|
|
}
|
|
for ii := len(cc.excludeList) - 1; ii >= 0; ii-- {
|
|
ei := cc.excludeList[ii]
|
|
if ei < i {
|
|
break
|
|
}
|
|
e1, e2 := cc.points[ei], cc.points[ei+1]
|
|
cp.freeCap += e2.freeCap - e1.freeCap
|
|
}
|
|
return cp
|
|
}
|
|
|
|
// maxCapacity calculates the maximum capacity available for a node with a given
|
|
// (monotonically decreasing) priority vs. capacity function. Note that if the requesting
|
|
// node is already in the pool then it should be excluded from the curve in order to get
|
|
// the correct result.
|
|
func (cc *capacityCurve) maxCapacity(priority func(cap uint64) int64) uint64 {
|
|
min, max := 0, len(cc.points)-1 // the curve always has at least one point
|
|
for min < max {
|
|
mid := (min + max) / 2
|
|
cp := cc.getPoint(mid)
|
|
if cp.freeCap == 0 || priority(cp.freeCap) > cp.nextPri {
|
|
min = mid + 1
|
|
} else {
|
|
max = mid
|
|
}
|
|
}
|
|
cp2 := cc.getPoint(min)
|
|
if cp2.freeCap == 0 || min == 0 {
|
|
return cp2.freeCap
|
|
}
|
|
cp1 := cc.getPoint(min - 1)
|
|
if priority(cp2.freeCap) > cp1.nextPri {
|
|
return cp2.freeCap
|
|
}
|
|
minc, maxc := cp1.freeCap, cp2.freeCap-1
|
|
for minc < maxc {
|
|
midc := (minc + maxc + 1) / 2
|
|
if midc == 0 || priority(midc) > cp1.nextPri {
|
|
minc = midc
|
|
} else {
|
|
maxc = midc - 1
|
|
}
|
|
}
|
|
return maxc
|
|
}
|