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579 lines
15 KiB
579 lines
15 KiB
// Copyright 2017 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 bloombits
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import (
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"sync"
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"github.com/ethereum/go-ethereum/common"
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"github.com/ethereum/go-ethereum/common/bitutil"
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"github.com/ethereum/go-ethereum/core/types"
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)
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const channelCap = 100
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// fetcher handles bit vector retrieval pipelines for a single bit index
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type fetcher struct {
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bloomIndex uint
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requestMap map[uint64]fetchRequest
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requestLock sync.RWMutex
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}
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// fetchRequest represents the state of a bit vector requested from a fetcher. When a distRequest has been sent to the distributor but
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// the data has not been delivered yet, queued is true. When delivered, it is stored in the data field and the delivered channel is closed.
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type fetchRequest struct {
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data []byte
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queued bool
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delivered chan struct{}
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}
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// distRequest is sent by the fetcher to the distributor which groups and prioritizes these requests.
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type distRequest struct {
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bloomIndex uint
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sectionIndex uint64
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}
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// fetch creates a retrieval pipeline, receiving section indexes from sectionCh and returning the results
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// in the same order through the returned channel. Multiple fetch instances of the same fetcher are allowed
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// to run in parallel, in case the same bit index appears multiple times in the filter structure. Each section
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// is requested only once, requests are sent to the request distributor (part of Matcher) through distCh.
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func (f *fetcher) fetch(sectionCh chan uint64, distCh chan distRequest, stop chan struct{}, wg *sync.WaitGroup) chan []byte {
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dataCh := make(chan []byte, channelCap)
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returnCh := make(chan uint64, channelCap)
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wg.Add(2)
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go func() {
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defer wg.Done()
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defer close(returnCh)
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for {
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select {
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case <-stop:
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return
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case idx, ok := <-sectionCh:
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if !ok {
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return
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}
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req := false
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f.requestLock.Lock()
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r := f.requestMap[idx]
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if r.data == nil {
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req = !r.queued
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r.queued = true
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if r.delivered == nil {
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r.delivered = make(chan struct{})
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}
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f.requestMap[idx] = r
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}
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f.requestLock.Unlock()
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if req {
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distCh <- distRequest{bloomIndex: f.bloomIndex, sectionIndex: idx} // success is guaranteed, distibuteRequests shuts down after fetch
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}
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select {
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case <-stop:
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return
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case returnCh <- idx:
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}
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}
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}
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}()
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go func() {
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defer wg.Done()
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defer close(dataCh)
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for {
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select {
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case <-stop:
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return
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case idx, ok := <-returnCh:
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if !ok {
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return
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}
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f.requestLock.RLock()
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r := f.requestMap[idx]
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f.requestLock.RUnlock()
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if r.data == nil {
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select {
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case <-stop:
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return
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case <-r.delivered:
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f.requestLock.RLock()
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r = f.requestMap[idx]
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f.requestLock.RUnlock()
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}
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}
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select {
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case <-stop:
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return
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case dataCh <- r.data:
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}
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}
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}
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}()
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return dataCh
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}
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// deliver is called by the request distributor when a reply to a request has
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// arrived
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func (f *fetcher) deliver(sectionIdxList []uint64, data [][]byte) {
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f.requestLock.Lock()
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defer f.requestLock.Unlock()
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for i, sectionIdx := range sectionIdxList {
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r := f.requestMap[sectionIdx]
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if r.data != nil {
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panic("BloomBits section data delivered twice")
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}
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r.data = data[i]
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close(r.delivered)
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f.requestMap[sectionIdx] = r
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}
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}
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// Matcher is a pipelined structure of fetchers and logic matchers which perform
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// binary AND/OR operations on the bitstreams, finally creating a stream of potential matches.
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type Matcher struct {
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addresses []types.BloomIndexList
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topics [][]types.BloomIndexList
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fetchers map[uint]*fetcher
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sectionSize uint64
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distCh chan distRequest
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reqs map[uint][]uint64
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freeQueues map[uint]struct{}
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allocQueue []chan uint
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running bool
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stop chan struct{}
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lock sync.Mutex
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wg, distWg sync.WaitGroup
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}
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// NewMatcher creates a new Matcher instance
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func NewMatcher(sectionSize uint64, addresses []common.Address, topics [][]common.Hash) *Matcher {
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m := &Matcher{
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fetchers: make(map[uint]*fetcher),
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reqs: make(map[uint][]uint64),
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freeQueues: make(map[uint]struct{}),
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distCh: make(chan distRequest, channelCap),
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sectionSize: sectionSize,
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}
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m.setAddresses(addresses)
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m.setTopics(topics)
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return m
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}
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// setAddresses matches only logs that are generated from addresses that are included
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// in the given addresses.
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func (m *Matcher) setAddresses(addresses []common.Address) {
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m.addresses = make([]types.BloomIndexList, len(addresses))
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for i, address := range addresses {
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m.addresses[i] = types.BloomIndexes(address.Bytes())
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}
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for _, bloomIndexList := range m.addresses {
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for _, bloomIndex := range bloomIndexList {
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m.newFetcher(bloomIndex)
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}
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}
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}
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// setTopics matches only logs that have topics matching the given topics.
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func (m *Matcher) setTopics(topics [][]common.Hash) {
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m.topics = nil
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loop:
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for _, topicList := range topics {
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t := make([]types.BloomIndexList, len(topicList))
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for i, topic := range topicList {
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if (topic == common.Hash{}) {
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continue loop
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}
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t[i] = types.BloomIndexes(topic.Bytes())
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}
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m.topics = append(m.topics, t)
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}
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for _, bloomIndexLists := range m.topics {
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for _, bloomIndexList := range bloomIndexLists {
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for _, bloomIndex := range bloomIndexList {
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m.newFetcher(bloomIndex)
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}
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}
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}
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}
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// match creates a daisy-chain of sub-matchers, one for the address set and one for each topic set, each
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// sub-matcher receiving a section only if the previous ones have all found a potential match in one of
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// the blocks of the section, then binary AND-ing its own matches and forwaring the result to the next one
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func (m *Matcher) match(processCh chan partialMatches) chan partialMatches {
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indexLists := m.topics
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if len(m.addresses) > 0 {
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indexLists = append([][]types.BloomIndexList{m.addresses}, indexLists...)
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}
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m.distributeRequests()
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for _, subIndexList := range indexLists {
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processCh = m.subMatch(processCh, subIndexList)
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}
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return processCh
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}
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// partialMatches with a non-nil vector represents a section in which some sub-matchers have already
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// found potential matches. Subsequent sub-matchers will binary AND their matches with this vector.
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// If vector is nil, it represents a section to be processed by the first sub-matcher.
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type partialMatches struct {
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sectionIndex uint64
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vector []byte
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}
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// newFetcher adds a fetcher for the given bit index if it has not existed before
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func (m *Matcher) newFetcher(idx uint) {
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if _, ok := m.fetchers[idx]; ok {
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return
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}
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f := &fetcher{
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bloomIndex: idx,
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requestMap: make(map[uint64]fetchRequest),
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}
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m.fetchers[idx] = f
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}
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// subMatch creates a sub-matcher that filters for a set of addresses or topics, binary OR-s those matches, then
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// binary AND-s the result to the daisy-chain input (processCh) and forwards it to the daisy-chain output.
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// The matches of each address/topic are calculated by fetching the given sections of the three bloom bit indexes belonging to
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// that address/topic, and binary AND-ing those vectors together.
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func (m *Matcher) subMatch(processCh chan partialMatches, bloomIndexLists []types.BloomIndexList) chan partialMatches {
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// set up fetchers
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fetchIndexChannels := make([][3]chan uint64, len(bloomIndexLists))
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fetchDataChannels := make([][3]chan []byte, len(bloomIndexLists))
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for i, bloomIndexList := range bloomIndexLists {
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for j, bloomIndex := range bloomIndexList {
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fetchIndexChannels[i][j] = make(chan uint64, channelCap)
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fetchDataChannels[i][j] = m.fetchers[bloomIndex].fetch(fetchIndexChannels[i][j], m.distCh, m.stop, &m.wg)
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}
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}
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fetchedCh := make(chan partialMatches, channelCap) // entries from processCh are forwarded here after fetches have been initiated
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resultsCh := make(chan partialMatches, channelCap)
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m.wg.Add(2)
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// goroutine for starting retrievals
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go func() {
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defer m.wg.Done()
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for {
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select {
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case <-m.stop:
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return
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case s, ok := <-processCh:
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if !ok {
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close(fetchedCh)
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for _, fetchIndexChs := range fetchIndexChannels {
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for _, fetchIndexCh := range fetchIndexChs {
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close(fetchIndexCh)
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}
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}
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return
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}
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for _, fetchIndexChs := range fetchIndexChannels {
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for _, fetchIndexCh := range fetchIndexChs {
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select {
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case <-m.stop:
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return
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case fetchIndexCh <- s.sectionIndex:
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}
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}
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}
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select {
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case <-m.stop:
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return
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case fetchedCh <- s:
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}
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}
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}
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}()
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// goroutine for processing retrieved data
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go func() {
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defer m.wg.Done()
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for {
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select {
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case <-m.stop:
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return
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case s, ok := <-fetchedCh:
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if !ok {
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close(resultsCh)
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return
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}
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var orVector []byte
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for _, fetchDataChs := range fetchDataChannels {
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var andVector []byte
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for _, fetchDataCh := range fetchDataChs {
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var data []byte
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select {
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case <-m.stop:
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return
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case data = <-fetchDataCh:
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}
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if andVector == nil {
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andVector = make([]byte, int(m.sectionSize/8))
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copy(andVector, data)
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} else {
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bitutil.ANDBytes(andVector, andVector, data)
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}
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}
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if orVector == nil {
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orVector = andVector
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} else {
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bitutil.ORBytes(orVector, orVector, andVector)
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}
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}
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if orVector == nil {
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orVector = make([]byte, int(m.sectionSize/8))
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}
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if s.vector != nil {
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bitutil.ANDBytes(orVector, orVector, s.vector)
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}
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if bitutil.TestBytes(orVector) {
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select {
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case <-m.stop:
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return
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case resultsCh <- partialMatches{s.sectionIndex, orVector}:
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}
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}
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}
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}
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}()
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return resultsCh
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}
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// Start starts the matching process and returns a stream of bloom matches in
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// a given range of blocks.
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// It returns a results channel immediately and stops if Stop is called or there
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// are no more matches in the range (in which case the results channel is closed).
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// Start/Stop can be called multiple times for different ranges, in which case already
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// delivered bit vectors are not requested again.
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func (m *Matcher) Start(begin, end uint64) chan uint64 {
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m.stop = make(chan struct{})
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processCh := make(chan partialMatches, channelCap)
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resultsCh := make(chan uint64, channelCap)
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res := m.match(processCh)
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startSection := begin / m.sectionSize
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endSection := end / m.sectionSize
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m.wg.Add(2)
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go func() {
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defer m.wg.Done()
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defer close(processCh)
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for i := startSection; i <= endSection; i++ {
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select {
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case processCh <- partialMatches{i, nil}:
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case <-m.stop:
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return
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}
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}
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}()
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go func() {
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defer m.wg.Done()
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defer close(resultsCh)
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for {
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select {
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case r, ok := <-res:
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if !ok {
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return
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}
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sectionStart := r.sectionIndex * m.sectionSize
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s := sectionStart
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if begin > s {
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s = begin
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}
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e := sectionStart + m.sectionSize - 1
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if end < e {
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e = end
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}
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for i := s; i <= e; i++ {
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b := r.vector[(i-sectionStart)/8]
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bit := 7 - i%8
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if b != 0 {
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if b&(1<<bit) != 0 {
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select {
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case <-m.stop:
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return
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case resultsCh <- i:
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}
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}
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} else {
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i += bit
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}
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}
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case <-m.stop:
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return
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}
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}
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}()
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return resultsCh
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}
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// Stop stops the matching process
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func (m *Matcher) Stop() {
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close(m.stop)
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m.distWg.Wait()
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}
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// distributeRequests receives requests from the fetchers and either queues them
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// or immediately forwards them to one of the waiting NextRequest functions.
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// Requests with a lower section idx are always prioritized.
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func (m *Matcher) distributeRequests() {
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m.distWg.Add(1)
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stopDist := make(chan struct{})
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go func() {
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<-m.stop
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m.wg.Wait()
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close(stopDist)
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}()
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m.running = true
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go func() {
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for {
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select {
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case r := <-m.distCh:
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m.lock.Lock()
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queue := m.reqs[r.bloomIndex]
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i := 0
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for i < len(queue) && r.sectionIndex > queue[i] {
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i++
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}
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queue = append(queue, 0)
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copy(queue[i+1:], queue[i:len(queue)-1])
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queue[i] = r.sectionIndex
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m.reqs[r.bloomIndex] = queue
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if len(queue) == 1 {
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m.freeQueue(r.bloomIndex)
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}
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m.lock.Unlock()
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case <-stopDist:
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m.lock.Lock()
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for _, ch := range m.allocQueue {
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close(ch)
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}
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m.allocQueue = nil
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m.running = false
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m.lock.Unlock()
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m.distWg.Done()
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return
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}
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}
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}()
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}
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|
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// freeQueue marks a queue as free if there are no AllocSectionQueue functions
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// waiting for allocation. If there is someone waiting, the queue is immediately
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// allocated.
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func (m *Matcher) freeQueue(bloomIndex uint) {
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if len(m.allocQueue) > 0 {
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m.allocQueue[0] <- bloomIndex
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m.allocQueue = m.allocQueue[1:]
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} else {
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m.freeQueues[bloomIndex] = struct{}{}
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}
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}
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|
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// AllocSectionQueue allocates a queue of requested section indexes belonging to the same
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// bloom bit index for a client process that can either immediately fetch the contents
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// of the queue or wait a little while for more section indexes to be requested.
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func (m *Matcher) AllocSectionQueue() (uint, bool) {
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m.lock.Lock()
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if !m.running {
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m.lock.Unlock()
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return 0, false
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}
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|
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var allocCh chan uint
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if len(m.freeQueues) > 0 {
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var (
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found bool
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bestSection uint64
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bestIndex uint
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)
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for bloomIndex, _ := range m.freeQueues {
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if !found || m.reqs[bloomIndex][0] < bestSection {
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found = true
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bestIndex = bloomIndex
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bestSection = m.reqs[bloomIndex][0]
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}
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}
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delete(m.freeQueues, bestIndex)
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m.lock.Unlock()
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return bestIndex, true
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} else {
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allocCh = make(chan uint)
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m.allocQueue = append(m.allocQueue, allocCh)
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}
|
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m.lock.Unlock()
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bloomIndex, ok := <-allocCh
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return bloomIndex, ok
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}
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|
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// SectionCount returns the length of the section index queue belonging to the given bloom bit index
|
|
func (m *Matcher) SectionCount(bloomIndex uint) int {
|
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m.lock.Lock()
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defer m.lock.Unlock()
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return len(m.reqs[bloomIndex])
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}
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|
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// FetchSections fetches all or part of an already allocated queue and deallocates it
|
|
func (m *Matcher) FetchSections(bloomIndex uint, maxCount int) []uint64 {
|
|
m.lock.Lock()
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|
defer m.lock.Unlock()
|
|
|
|
queue := m.reqs[bloomIndex]
|
|
if maxCount < len(queue) {
|
|
// return only part of the existing queue, mark the rest as free
|
|
m.reqs[bloomIndex] = queue[maxCount:]
|
|
m.freeQueue(bloomIndex)
|
|
return queue[:maxCount]
|
|
} else {
|
|
// return the entire queue
|
|
delete(m.reqs, bloomIndex)
|
|
return queue
|
|
}
|
|
}
|
|
|
|
// Deliver delivers a bit vector to the appropriate fetcher.
|
|
// It is possible to deliver data even after Stop has been called. Once a vector has been
|
|
// requested, the matcher will keep waiting for delivery.
|
|
func (m *Matcher) Deliver(bloomIndex uint, sectionIdxList []uint64, data [][]byte) {
|
|
m.fetchers[bloomIndex].deliver(sectionIdxList, data)
|
|
}
|
|
|