// Copyright 2016 The go-ethereum Authors
// This file is part of the go-ethereum library.
//
// The go-ethereum library is free software: you can redistribute it and/or modify
// it under the terms of the GNU Lesser General Public License as published by
// the Free Software Foundation, either version 3 of the License, or
// (at your option) any later version.
//
// The go-ethereum library is distributed in the hope that it will be useful,
// but WITHOUT ANY WARRANTY; without even the implied warranty of
// MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
// GNU Lesser General Public License for more details.
//
// You should have received a copy of the GNU Lesser General Public License
// along with the go-ethereum library. If not, see <http://www.gnu.org/licenses/>.
package storage
import (
"encoding/binary"
"errors"
"fmt"
"io"
"sync"
"time"
)
/*
The distributed storage implemented in this package requires fix sized chunks of content.
Chunker is the interface to a component that is responsible for disassembling and assembling larger data.
TreeChunker implements a Chunker based on a tree structure defined as follows:
1 each node in the tree including the root and other branching nodes are stored as a chunk.
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 :
data_{i} := size(subtree_{i}) || key_{j} || key_{j+1} .... || key_{j+n-1}
3 Leaf nodes encode an actual subslice of the input data.
4 if data size is not more than maximum chunksize, the data is stored in a single chunk
key = hash(int64(size) + data)
5 if data size is more than chunksize*branches^l, but no more than chunksize*
branches^(l+1), the data vector is split into slices of chunksize*
branches^l length (except the last one).
key = hash(int64(size) + key(slice0) + key(slice1) + ...)
The underlying hash function is configurable
*/
/*
Tree chunker is a concrete implementation of data chunking.
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.
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.
The hashing itself does use extra copies and allocation though, since it does need it.
*/
var (
errAppendOppNotSuported = errors.New("Append operation not supported")
errOperationTimedOut = errors.New("operation timed out")
)
type TreeChunker struct {
branches int64
hashFunc SwarmHasher
// calculated
hashSize int64 // self.hashFunc.New().Size()
chunkSize int64 // hashSize* branches
workerCount int64 // the number of worker routines used
workerLock sync.RWMutex // lock for the worker count
}
func NewTreeChunker(params *ChunkerParams) (self *TreeChunker) {
self = &TreeChunker{}
self.hashFunc = MakeHashFunc(params.Hash)
self.branches = params.Branches
self.hashSize = int64(self.hashFunc().Size())
self.chunkSize = self.hashSize * self.branches
self.workerCount = 0
return
}
// func (self *TreeChunker) KeySize() int64 {
// return self.hashSize
// }
// String() for pretty printing
func (self *Chunk) String() string {
return fmt.Sprintf("Key: %v TreeSize: %v Chunksize: %v", self.Key.Log(), self.Size, len(self.SData))
}
type hashJob struct {
key Key
chunk []byte
size int64
parentWg *sync.WaitGroup
}
func (self *TreeChunker) incrementWorkerCount() {
self.workerLock.Lock()
defer self.workerLock.Unlock()
self.workerCount += 1
}
func (self *TreeChunker) getWorkerCount() int64 {
self.workerLock.RLock()
defer self.workerLock.RUnlock()
return self.workerCount
}
func (self *TreeChunker) decrementWorkerCount() {
self.workerLock.Lock()
defer self.workerLock.Unlock()
self.workerCount -= 1
}
func (self *TreeChunker) Split(data io.Reader, size int64, chunkC chan *Chunk, swg, wwg *sync.WaitGroup) (Key, error) {
if self.chunkSize <= 0 {
panic("chunker must be initialised")
}
jobC := make(chan *hashJob, 2*ChunkProcessors)
wg := &sync.WaitGroup{}
errC := make(chan error)
quitC := make(chan bool)
// wwg = workers waitgroup keeps track of hashworkers spawned by this split call
if wwg != nil {
wwg.Add(1)
}
self.incrementWorkerCount()
go self.hashWorker(jobC, chunkC, errC, quitC, swg, wwg)
depth := 0
treeSize := self.chunkSize
// takes lowest depth such that chunksize*HashCount^(depth+1) > size
// 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.
for ; treeSize < size; treeSize *= self.branches {
depth++
}
key := make([]byte, self.hashFunc().Size())
// this waitgroup member is released after the root hash is calculated
wg.Add(1)
//launch actual recursive function passing the waitgroups
go self.split(depth, treeSize/self.branches, key, data, size, jobC, chunkC, errC, quitC, wg, swg, wwg)
// closes internal error channel if all subprocesses in the workgroup finished
go func() {
// waiting for all threads to finish
wg.Wait()
// if storage waitgroup is non-nil, we wait for storage to finish too
if swg != nil {
swg.Wait()
}
close(errC)
}()
defer close(quitC)
select {
case err := <-errC:
if err != nil {
return nil, err
}
case <-time.NewTimer(splitTimeout).C:
return nil,errOperationTimedOut
}
return key, nil
}
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) {
//
for depth > 0 && size < treeSize {
treeSize /= self.branches
depth--
}
if depth == 0 {
// leaf nodes -> content chunks
chunkData := make([]byte, size+8)
binary.LittleEndian.PutUint64(chunkData[0:8], uint64(size))
var readBytes int64
for readBytes < size {
n, err := data.Read(chunkData[8+readBytes:])
readBytes += int64(n)
if err != nil && !(err == io.EOF && readBytes == size) {
errC <- err
return
}
}
select {
case jobC <- &hashJob{key, chunkData, size, parentWg}:
case <-quitC:
}
return
}
// dept > 0
// intermediate chunk containing child nodes hashes
branchCnt := int64((size + treeSize - 1) / treeSize)
var chunk []byte = make([]byte, branchCnt*self.hashSize+8)
var pos, i int64
binary.LittleEndian.PutUint64(chunk[0:8], uint64(size))
childrenWg := &sync.WaitGroup{}
var secSize int64
for i < branchCnt {
// the last item can have shorter data
if size-pos < treeSize {
secSize = size - pos
} else {
secSize = treeSize
}
// the hash of that data
subTreeKey := chunk[8+i*self.hashSize : 8+(i+1)*self.hashSize]
childrenWg.Add(1)
self.split(depth-1, treeSize/self.branches, subTreeKey, data, secSize, jobC, chunkC, errC, quitC, childrenWg, swg, wwg)
i++
pos += treeSize
}
// wait for all the children to complete calculating their hashes and copying them onto sections of the chunk
// parentWg.Add(1)
// go func() {
childrenWg.Wait()
worker := self.getWorkerCount()
if int64(len(jobC)) > worker && worker < ChunkProcessors {
if wwg != nil {
wwg.Add(1)
}
self.incrementWorkerCount()
go self.hashWorker(jobC, chunkC, errC, quitC, swg, wwg)
}
select {
case jobC <- &hashJob{key, chunk, size, parentWg}:
case <-quitC:
}
}
func (self *TreeChunker) hashWorker(jobC chan *hashJob, chunkC chan *Chunk, errC chan error, quitC chan bool, swg, wwg *sync.WaitGroup) {
defer self.decrementWorkerCount()
hasher := self.hashFunc()
if wwg != nil {
defer wwg.Done()
}
for {
select {
case job, ok := <-jobC:
if !ok {
return
}
// now we got the hashes in the chunk, then hash the chunks
self.hashChunk(hasher, job, chunkC, swg)
case <-quitC:
return
}
}
}
// The treeChunkers own Hash hashes together
// - the size (of the subtree encoded in the Chunk)
// - the Chunk, ie. the contents read from the input reader
func (self *TreeChunker) hashChunk(hasher SwarmHash, job *hashJob, chunkC chan *Chunk, swg *sync.WaitGroup) {
hasher.ResetWithLength(job.chunk[:8]) // 8 bytes of length
hasher.Write(job.chunk[8:]) // minus 8 []byte length
h := hasher.Sum(nil)
newChunk := &Chunk{
Key: h,
SData: job.chunk,
Size: job.size,
wg: swg,
}
// report hash of this chunk one level up (keys corresponds to the proper subslice of the parent chunk)
copy(job.key, h)
// send off new chunk to storage
if chunkC != nil {
if swg != nil {
swg.Add(1)
}
}
job.parentWg.Done()
if chunkC != nil {
chunkC <- newChunk
}
}
func (self *TreeChunker) Append(key Key, data io.Reader, chunkC chan *Chunk, swg, wwg *sync.WaitGroup) (Key, error) {
return nil, errAppendOppNotSuported
}
// LazyChunkReader implements LazySectionReader
type LazyChunkReader struct {
key Key // root key
chunkC chan *Chunk // chunk channel to send retrieve requests on
chunk *Chunk // size of the entire subtree
off int64 // offset
chunkSize int64 // inherit from chunker
branches int64 // inherit from chunker
hashSize int64 // inherit from chunker
}
// implements the Joiner interface
func (self *TreeChunker) Join(key Key, chunkC chan *Chunk) LazySectionReader {
return &LazyChunkReader{
key: key,
chunkC: chunkC,
chunkSize: self.chunkSize,
branches: self.branches,
hashSize: self.hashSize,
}
}
// Size is meant to be called on the LazySectionReader
func (self *LazyChunkReader) Size(quitC chan bool) (n int64, err error) {
if self.chunk != nil {
return self.chunk.Size, nil
}
chunk := retrieve(self.key, self.chunkC, quitC)
if chunk == nil {
select {
case <-quitC:
return 0, errors.New("aborted")
default:
return 0, fmt.Errorf("root chunk not found for %v", self.key.Hex())
}
}
self.chunk = chunk
return chunk.Size, nil
}
// read at can be called numerous times
// concurrent reads are allowed
// Size() needs to be called synchronously on the LazyChunkReader first
func (self *LazyChunkReader) ReadAt(b []byte, off int64) (read int, err error) {
// this is correct, a swarm doc cannot be zero length, so no EOF is expected
if len(b) == 0 {
return 0, nil
}
quitC := make(chan bool)
size, err := self.Size(quitC)
if err != nil {
return 0, err
}
errC := make(chan error)
// }
var treeSize int64
var depth int
// calculate depth and max treeSize
treeSize = self.chunkSize
for ; treeSize < size; treeSize *= self.branches {
depth++
}
wg := sync.WaitGroup{}
wg.Add(1)
go self.join(b, off, off+int64(len(b)), depth, treeSize/self.branches, self.chunk, &wg, errC, quitC)
go func() {
wg.Wait()
close(errC)
}()
err = <-errC
if err != nil {
close(quitC)
return 0, err
}
if off+int64(len(b)) >= size {
return len(b), io.EOF
}
return len(b), nil
}
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) {
defer parentWg.Done()
// return NewDPA(&LocalStore{})
// chunk.Size = int64(binary.LittleEndian.Uint64(chunk.SData[0:8]))
// find appropriate block level
for chunk.Size < treeSize && depth > 0 {
treeSize /= self.branches
depth--
}
// leaf chunk found
if depth == 0 {
extra := 8 + eoff - int64(len(chunk.SData))
if extra > 0 {
eoff -= extra
}
copy(b, chunk.SData[8+off:8+eoff])
return // simply give back the chunks reader for content chunks
}
// subtree
start := off / treeSize
end := (eoff + treeSize - 1) / treeSize
wg := &sync.WaitGroup{}
defer wg.Wait()
for i := start; i < end; i++ {
soff := i * treeSize
roff := soff
seoff := soff + treeSize
if soff < off {
soff = off
}
if seoff > eoff {
seoff = eoff
}
if depth > 1 {
wg.Wait()
}
wg.Add(1)
go func(j int64) {
childKey := chunk.SData[8+j*self.hashSize : 8+(j+1)*self.hashSize]
chunk := retrieve(childKey, self.chunkC, quitC)
if chunk == nil {
select {
case errC <- fmt.Errorf("chunk %v-%v not found", off, off+treeSize):
case <-quitC:
}
return
}
if soff < off {
soff = off
}
self.join(b[soff-off:seoff-off], soff-roff, seoff-roff, depth-1, treeSize/self.branches, chunk, wg, errC, quitC)
}(i)
} //for
}
// the helper method submits chunks for a key to a oueue (DPA) and
// block until they time out or arrive
// abort if quitC is readable
func retrieve(key Key, chunkC chan *Chunk, quitC chan bool) *Chunk {
chunk := &Chunk{
Key: key,
C: make(chan bool), // close channel to signal data delivery
}
// submit chunk for retrieval
select {
case chunkC <- chunk: // submit retrieval request, someone should be listening on the other side (or we will time out globally)
case <-quitC:
return nil
}
// waiting for the chunk retrieval
select { // chunk.Size = int64(binary.LittleEndian.Uint64(chunk.SData[0:8]))
case <-quitC:
// this is how we control process leakage (quitC is closed once join is finished (after timeout))
return nil
case <-chunk.C: // bells are ringing, data have been delivered
}
if len(chunk.SData) == 0 {
return nil // chunk.Size = int64(binary.LittleEndian.Uint64(chunk.SData[0:8]))
}
return chunk
}
// Read keeps a cursor so cannot be called simulateously, see ReadAt
func (self *LazyChunkReader) Read(b []byte) (read int, err error) {
read, err = self.ReadAt(b, self.off)
self.off += int64(read)
return
}
// completely analogous to standard SectionReader implementation
var errWhence = errors.New("Seek: invalid whence")
var errOffset = errors.New("Seek: invalid offset")
func (s *LazyChunkReader) Seek(offset int64, whence int) (int64, error) {
switch whence {
default:
return 0, errWhence
case 0:
offset += 0
case 1:
offset += s.off
case 2:
if s.chunk == nil { //seek from the end requires rootchunk for size. call Size first
_, err := s.Size(nil)
if err != nil {
return 0, fmt.Errorf("can't get size: %v", err)
}
}
offset += s.chunk.Size
}
if offset < 0 {
return 0, errOffset
}
s.off = offset
return offset, nil
}
