86f6568f66
* build: enable unconvert linter - fixes #15453 - update code base for failing cases * cmd/puppeth: replace syscall.Stdin with os.Stdin.Fd() for unconvert linter
520 lines
14 KiB
Go
520 lines
14 KiB
Go
// Copyright 2016 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 storage
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import (
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"encoding/binary"
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"errors"
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"fmt"
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"io"
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"sync"
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"time"
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)
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/*
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The distributed storage implemented in this package requires fix sized chunks of content.
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Chunker is the interface to a component that is responsible for disassembling and assembling larger data.
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TreeChunker implements a Chunker based on a tree structure defined as follows:
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1 each node in the tree including the root and other branching nodes are stored as a chunk.
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2 branching nodes encode data contents that includes the size of the dataslice covered by its entire subtree under the node as well as the hash keys of all its children :
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data_{i} := size(subtree_{i}) || key_{j} || key_{j+1} .... || key_{j+n-1}
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3 Leaf nodes encode an actual subslice of the input data.
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4 if data size is not more than maximum chunksize, the data is stored in a single chunk
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key = hash(int64(size) + data)
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5 if data size is more than chunksize*branches^l, but no more than chunksize*
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branches^(l+1), the data vector is split into slices of chunksize*
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branches^l length (except the last one).
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key = hash(int64(size) + key(slice0) + key(slice1) + ...)
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The underlying hash function is configurable
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*/
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/*
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Tree chunker is a concrete implementation of data chunking.
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This chunker works in a simple way, it builds a tree out of the document so that each node either represents a chunk of real data or a chunk of data representing an branching non-leaf node of the tree. In particular each such non-leaf chunk will represent is a concatenation of the hash of its respective children. This scheme simultaneously guarantees data integrity as well as self addressing. Abstract nodes are transparent since their represented size component is strictly greater than their maximum data size, since they encode a subtree.
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If all is well it is possible to implement this by simply composing readers so that no extra allocation or buffering is necessary for the data splitting and joining. This means that in principle there can be direct IO between : memory, file system, network socket (bzz peers storage request is read from the socket). In practice there may be need for several stages of internal buffering.
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The hashing itself does use extra copies and allocation though, since it does need it.
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*/
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var (
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errAppendOppNotSuported = errors.New("Append operation not supported")
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errOperationTimedOut = errors.New("operation timed out")
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)
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type TreeChunker struct {
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branches int64
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hashFunc SwarmHasher
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// calculated
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hashSize int64 // self.hashFunc.New().Size()
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chunkSize int64 // hashSize* branches
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workerCount int64 // the number of worker routines used
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workerLock sync.RWMutex // lock for the worker count
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}
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func NewTreeChunker(params *ChunkerParams) (self *TreeChunker) {
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self = &TreeChunker{}
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self.hashFunc = MakeHashFunc(params.Hash)
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self.branches = params.Branches
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self.hashSize = int64(self.hashFunc().Size())
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self.chunkSize = self.hashSize * self.branches
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self.workerCount = 0
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return
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}
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// func (self *TreeChunker) KeySize() int64 {
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// return self.hashSize
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// }
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// String() for pretty printing
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func (self *Chunk) String() string {
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return fmt.Sprintf("Key: %v TreeSize: %v Chunksize: %v", self.Key.Log(), self.Size, len(self.SData))
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}
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type hashJob struct {
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key Key
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chunk []byte
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size int64
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parentWg *sync.WaitGroup
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}
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func (self *TreeChunker) incrementWorkerCount() {
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self.workerLock.Lock()
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defer self.workerLock.Unlock()
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self.workerCount += 1
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}
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func (self *TreeChunker) getWorkerCount() int64 {
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self.workerLock.RLock()
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defer self.workerLock.RUnlock()
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return self.workerCount
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}
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func (self *TreeChunker) decrementWorkerCount() {
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self.workerLock.Lock()
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defer self.workerLock.Unlock()
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self.workerCount -= 1
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}
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func (self *TreeChunker) Split(data io.Reader, size int64, chunkC chan *Chunk, swg, wwg *sync.WaitGroup) (Key, error) {
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if self.chunkSize <= 0 {
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panic("chunker must be initialised")
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}
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jobC := make(chan *hashJob, 2*ChunkProcessors)
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wg := &sync.WaitGroup{}
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errC := make(chan error)
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quitC := make(chan bool)
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// wwg = workers waitgroup keeps track of hashworkers spawned by this split call
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if wwg != nil {
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wwg.Add(1)
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}
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self.incrementWorkerCount()
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go self.hashWorker(jobC, chunkC, errC, quitC, swg, wwg)
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depth := 0
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treeSize := self.chunkSize
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// takes lowest depth such that chunksize*HashCount^(depth+1) > size
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// power series, will find the order of magnitude of the data size in base hashCount or numbers of levels of branching in the resulting tree.
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for ; treeSize < size; treeSize *= self.branches {
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depth++
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}
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key := make([]byte, self.hashFunc().Size())
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// this waitgroup member is released after the root hash is calculated
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wg.Add(1)
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//launch actual recursive function passing the waitgroups
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go self.split(depth, treeSize/self.branches, key, data, size, jobC, chunkC, errC, quitC, wg, swg, wwg)
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// closes internal error channel if all subprocesses in the workgroup finished
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go func() {
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// waiting for all threads to finish
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wg.Wait()
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// if storage waitgroup is non-nil, we wait for storage to finish too
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if swg != nil {
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swg.Wait()
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}
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close(errC)
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}()
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defer close(quitC)
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select {
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case err := <-errC:
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if err != nil {
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return nil, err
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}
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case <-time.NewTimer(splitTimeout).C:
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return nil, errOperationTimedOut
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}
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return key, nil
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}
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func (self *TreeChunker) split(depth int, treeSize int64, key Key, data io.Reader, size int64, jobC chan *hashJob, chunkC chan *Chunk, errC chan error, quitC chan bool, parentWg, swg, wwg *sync.WaitGroup) {
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//
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for depth > 0 && size < treeSize {
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treeSize /= self.branches
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depth--
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}
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if depth == 0 {
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// leaf nodes -> content chunks
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chunkData := make([]byte, size+8)
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binary.LittleEndian.PutUint64(chunkData[0:8], uint64(size))
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var readBytes int64
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for readBytes < size {
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n, err := data.Read(chunkData[8+readBytes:])
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readBytes += int64(n)
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if err != nil && !(err == io.EOF && readBytes == size) {
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errC <- err
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return
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}
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}
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select {
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case jobC <- &hashJob{key, chunkData, size, parentWg}:
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case <-quitC:
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}
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return
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}
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// dept > 0
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// intermediate chunk containing child nodes hashes
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branchCnt := (size + treeSize - 1) / treeSize
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var chunk = make([]byte, branchCnt*self.hashSize+8)
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var pos, i int64
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binary.LittleEndian.PutUint64(chunk[0:8], uint64(size))
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childrenWg := &sync.WaitGroup{}
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var secSize int64
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for i < branchCnt {
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// the last item can have shorter data
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if size-pos < treeSize {
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secSize = size - pos
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} else {
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secSize = treeSize
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}
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// the hash of that data
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subTreeKey := chunk[8+i*self.hashSize : 8+(i+1)*self.hashSize]
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childrenWg.Add(1)
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self.split(depth-1, treeSize/self.branches, subTreeKey, data, secSize, jobC, chunkC, errC, quitC, childrenWg, swg, wwg)
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i++
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pos += treeSize
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}
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// wait for all the children to complete calculating their hashes and copying them onto sections of the chunk
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// parentWg.Add(1)
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// go func() {
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childrenWg.Wait()
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worker := self.getWorkerCount()
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if int64(len(jobC)) > worker && worker < ChunkProcessors {
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if wwg != nil {
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wwg.Add(1)
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}
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self.incrementWorkerCount()
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go self.hashWorker(jobC, chunkC, errC, quitC, swg, wwg)
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}
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select {
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case jobC <- &hashJob{key, chunk, size, parentWg}:
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case <-quitC:
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}
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}
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func (self *TreeChunker) hashWorker(jobC chan *hashJob, chunkC chan *Chunk, errC chan error, quitC chan bool, swg, wwg *sync.WaitGroup) {
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defer self.decrementWorkerCount()
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hasher := self.hashFunc()
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if wwg != nil {
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defer wwg.Done()
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}
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for {
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select {
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case job, ok := <-jobC:
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if !ok {
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return
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}
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// now we got the hashes in the chunk, then hash the chunks
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self.hashChunk(hasher, job, chunkC, swg)
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case <-quitC:
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return
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}
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}
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}
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// The treeChunkers own Hash hashes together
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// - the size (of the subtree encoded in the Chunk)
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// - the Chunk, ie. the contents read from the input reader
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func (self *TreeChunker) hashChunk(hasher SwarmHash, job *hashJob, chunkC chan *Chunk, swg *sync.WaitGroup) {
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hasher.ResetWithLength(job.chunk[:8]) // 8 bytes of length
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hasher.Write(job.chunk[8:]) // minus 8 []byte length
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h := hasher.Sum(nil)
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newChunk := &Chunk{
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Key: h,
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SData: job.chunk,
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Size: job.size,
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wg: swg,
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}
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// report hash of this chunk one level up (keys corresponds to the proper subslice of the parent chunk)
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copy(job.key, h)
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// send off new chunk to storage
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if chunkC != nil {
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if swg != nil {
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swg.Add(1)
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}
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}
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job.parentWg.Done()
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if chunkC != nil {
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chunkC <- newChunk
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}
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}
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func (self *TreeChunker) Append(key Key, data io.Reader, chunkC chan *Chunk, swg, wwg *sync.WaitGroup) (Key, error) {
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return nil, errAppendOppNotSuported
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}
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// LazyChunkReader implements LazySectionReader
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type LazyChunkReader struct {
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key Key // root key
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chunkC chan *Chunk // chunk channel to send retrieve requests on
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chunk *Chunk // size of the entire subtree
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off int64 // offset
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chunkSize int64 // inherit from chunker
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branches int64 // inherit from chunker
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hashSize int64 // inherit from chunker
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}
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// implements the Joiner interface
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func (self *TreeChunker) Join(key Key, chunkC chan *Chunk) LazySectionReader {
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return &LazyChunkReader{
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key: key,
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chunkC: chunkC,
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chunkSize: self.chunkSize,
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branches: self.branches,
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hashSize: self.hashSize,
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}
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}
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// Size is meant to be called on the LazySectionReader
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func (self *LazyChunkReader) Size(quitC chan bool) (n int64, err error) {
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if self.chunk != nil {
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return self.chunk.Size, nil
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}
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chunk := retrieve(self.key, self.chunkC, quitC)
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if chunk == nil {
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select {
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case <-quitC:
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return 0, errors.New("aborted")
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default:
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return 0, fmt.Errorf("root chunk not found for %v", self.key.Hex())
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}
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}
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self.chunk = chunk
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return chunk.Size, nil
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}
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// read at can be called numerous times
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// concurrent reads are allowed
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// Size() needs to be called synchronously on the LazyChunkReader first
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func (self *LazyChunkReader) ReadAt(b []byte, off int64) (read int, err error) {
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// this is correct, a swarm doc cannot be zero length, so no EOF is expected
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if len(b) == 0 {
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return 0, nil
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}
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quitC := make(chan bool)
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size, err := self.Size(quitC)
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if err != nil {
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return 0, err
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}
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errC := make(chan error)
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// }
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var treeSize int64
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var depth int
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// calculate depth and max treeSize
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treeSize = self.chunkSize
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for ; treeSize < size; treeSize *= self.branches {
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depth++
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}
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wg := sync.WaitGroup{}
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wg.Add(1)
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go self.join(b, off, off+int64(len(b)), depth, treeSize/self.branches, self.chunk, &wg, errC, quitC)
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go func() {
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wg.Wait()
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close(errC)
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}()
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err = <-errC
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if err != nil {
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close(quitC)
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return 0, err
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}
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if off+int64(len(b)) >= size {
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return len(b), io.EOF
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}
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return len(b), nil
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}
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func (self *LazyChunkReader) join(b []byte, off int64, eoff int64, depth int, treeSize int64, chunk *Chunk, parentWg *sync.WaitGroup, errC chan error, quitC chan bool) {
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defer parentWg.Done()
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// return NewDPA(&LocalStore{})
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// chunk.Size = int64(binary.LittleEndian.Uint64(chunk.SData[0:8]))
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// find appropriate block level
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for chunk.Size < treeSize && depth > 0 {
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treeSize /= self.branches
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depth--
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}
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// leaf chunk found
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if depth == 0 {
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extra := 8 + eoff - int64(len(chunk.SData))
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if extra > 0 {
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eoff -= extra
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}
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copy(b, chunk.SData[8+off:8+eoff])
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return // simply give back the chunks reader for content chunks
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}
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// subtree
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start := off / treeSize
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end := (eoff + treeSize - 1) / treeSize
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wg := &sync.WaitGroup{}
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defer wg.Wait()
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for i := start; i < end; i++ {
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soff := i * treeSize
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roff := soff
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seoff := soff + treeSize
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if soff < off {
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soff = off
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}
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if seoff > eoff {
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seoff = eoff
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}
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if depth > 1 {
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wg.Wait()
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}
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wg.Add(1)
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go func(j int64) {
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childKey := chunk.SData[8+j*self.hashSize : 8+(j+1)*self.hashSize]
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chunk := retrieve(childKey, self.chunkC, quitC)
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if chunk == nil {
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select {
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case errC <- fmt.Errorf("chunk %v-%v not found", off, off+treeSize):
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case <-quitC:
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}
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return
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}
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if soff < off {
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soff = off
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}
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self.join(b[soff-off:seoff-off], soff-roff, seoff-roff, depth-1, treeSize/self.branches, chunk, wg, errC, quitC)
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}(i)
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} //for
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}
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// the helper method submits chunks for a key to a oueue (DPA) and
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// block until they time out or arrive
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// abort if quitC is readable
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func retrieve(key Key, chunkC chan *Chunk, quitC chan bool) *Chunk {
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chunk := &Chunk{
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Key: key,
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C: make(chan bool), // close channel to signal data delivery
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}
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// submit chunk for retrieval
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select {
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case chunkC <- chunk: // submit retrieval request, someone should be listening on the other side (or we will time out globally)
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case <-quitC:
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return nil
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}
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// waiting for the chunk retrieval
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select { // chunk.Size = int64(binary.LittleEndian.Uint64(chunk.SData[0:8]))
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case <-quitC:
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// this is how we control process leakage (quitC is closed once join is finished (after timeout))
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return nil
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case <-chunk.C: // bells are ringing, data have been delivered
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}
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if len(chunk.SData) == 0 {
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return nil // chunk.Size = int64(binary.LittleEndian.Uint64(chunk.SData[0:8]))
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}
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return chunk
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}
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// Read keeps a cursor so cannot be called simulateously, see ReadAt
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func (self *LazyChunkReader) Read(b []byte) (read int, err error) {
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read, err = self.ReadAt(b, self.off)
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self.off += int64(read)
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return
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}
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// completely analogous to standard SectionReader implementation
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var errWhence = errors.New("Seek: invalid whence")
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var errOffset = errors.New("Seek: invalid offset")
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func (s *LazyChunkReader) Seek(offset int64, whence int) (int64, error) {
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switch whence {
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default:
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return 0, errWhence
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case 0:
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offset += 0
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case 1:
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offset += s.off
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case 2:
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if s.chunk == nil { //seek from the end requires rootchunk for size. call Size first
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_, err := s.Size(nil)
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if err != nil {
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return 0, fmt.Errorf("can't get size: %v", err)
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}
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}
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offset += s.chunk.Size
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}
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if offset < 0 {
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return 0, errOffset
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}
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s.off = offset
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return offset, nil
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}
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