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https://github.com/ethereum/go-ethereum.git
synced 2026-07-20 11:46:44 +00:00
minor cleanup and remove very long benchmarks
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parent
c3add4001c
commit
351910d101
3 changed files with 18 additions and 32 deletions
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@ -110,7 +110,7 @@ func (self *TreeChunker) Init() {
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}
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self.hashSize = int64(self.HashFunc.New().Size())
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self.chunkSize = self.hashSize * self.Branches
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dpaLogger.Debugf("Chunker initialised: branches: %v, hashsize: %v, chunksize: %v, join timeout: %v , split timeout: %v", self.Branches, self.hashSize, self.chunkSize, self.JoinTimeout, self.SplitTimeout)
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// dpaLogger.Debugf("Chunker initialised: branches: %v, hashsize: %v, chunksize: %v, join timeout: %v , split timeout: %v", self.Branches, self.hashSize, self.chunkSize, self.JoinTimeout, self.SplitTimeout)
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}
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@ -173,7 +173,7 @@ func (self *TreeChunker) Split(key Key, data SectionReader, chunkC chan *Chunk)
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depth++
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}
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dpaLogger.Debugf("split request received for data (%v bytes, depth: %v)", size, depth)
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// dpaLogger.Debugf("split request received for data (%v bytes, depth: %v)", size, depth)
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//launch actual recursive function passing the workgroup
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self.split(depth, treeSize/self.Branches, key, data, chunkC, rerrC, wg)
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@ -209,7 +209,7 @@ func (self *TreeChunker) split(depth int, treeSize int64, key Key, data SectionR
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size := data.Size()
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var newChunk *Chunk
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var hash Key
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dpaLogger.Debugf("depth: %v, max subtree size: %v, data size: %v", depth, treeSize, size)
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// dpaLogger.Debugf("depth: %v, max subtree size: %v, data size: %v", depth, treeSize, size)
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for depth > 0 && size < treeSize {
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treeSize /= self.Branches
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@ -219,7 +219,7 @@ func (self *TreeChunker) split(depth int, treeSize int64, key Key, data SectionR
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if depth == 0 {
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// leaf nodes -> content chunks
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hash = self.Hash(size, data)
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dpaLogger.Debugf("content chunk: max subtree size: %v, data size: %v", treeSize, size)
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// dpaLogger.Debugf("content chunk: max subtree size: %v, data size: %v", treeSize, size)
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newChunk = &Chunk{
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Key: hash,
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Reader: data,
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@ -228,7 +228,7 @@ func (self *TreeChunker) split(depth int, treeSize int64, key Key, data SectionR
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} else {
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// intermediate chunk containing child nodes hashes
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branches := int64((size-1)/treeSize) + 1
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dpaLogger.Debugf("intermediate node: setting branches: %v, depth: %v, max subtree size: %v, data size: %v", branches, depth, treeSize, size)
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// dpaLogger.Debugf("intermediate node: setting branches: %v, depth: %v, max subtree size: %v, data size: %v", branches, depth, treeSize, size)
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var chunk []byte = make([]byte, branches*self.hashSize)
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var pos, i int64
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@ -369,7 +369,7 @@ func (self *TreeChunker) join(depth int, treeSize int64, key Key, chunkC chan *C
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var readerF func() (r LazySectionReader)
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var readerFs [](func() (r LazySectionReader))
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branches := int64((chunk.Size-1)/treeSize) + 1
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dpaLogger.DebugDetailf("tree node - size %v, chunk size: %v, subtreeSize %v, branches %v", chunk.Size, chunk.Reader.Size(), treeSize, branches)
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// dpaLogger.DebugDetailf("tree node - size %v, chunk size: %v, subtreeSize %v, branches %v", chunk.Size, chunk.Reader.Size(), treeSize, branches)
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// iterate through the chunk containing the keys of children
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// create lazy init functions that give back readers
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@ -378,7 +378,7 @@ func (self *TreeChunker) join(depth int, treeSize int64, key Key, chunkC chan *C
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childKey = make([]byte, self.hashSize) // preallocate hashSize long slice for key
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// read the Hash of the subtree from the relevant section of the Chunk into the allocated byte slice in subtree.Key
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if _, err := chunk.Reader.ReadAt(childKey, i*self.hashSize); err != nil {
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dpaLogger.DebugDetailf("Read error: %v", err)
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// dpaLogger.DebugDetailf("Read error: %v", err)
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errC <- err
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break
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}
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@ -196,20 +196,17 @@ func benchmarkSplitRandomData(n int, chunks int, t *testing.B) {
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}
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}
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func BenchmarkJoinRandomData_100_2(t *testing.B) { benchmarkJoinRandomData(100, 3, t) }
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func BenchmarkJoinRandomData_1000_2(t *testing.B) { benchmarkJoinRandomData(1000, 3, t) }
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func BenchmarkJoinRandomData_10000_2(t *testing.B) { benchmarkJoinRandomData(10000, 3, t) }
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func BenchmarkJoinRandomData_100000_2(t *testing.B) { benchmarkJoinRandomData(100000, 3, t) }
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func BenchmarkJoinRandomData_1000000_2(t *testing.B) { benchmarkJoinRandomData(1000000, 3, t) }
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func BenchmarkJoinRandomData_10000000_2(t *testing.B) { benchmarkJoinRandomData(10000000, 3, t) }
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func BenchmarkJoinRandomData_100000000_2(t *testing.B) { benchmarkJoinRandomData(100000000, 3, t) }
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func BenchmarkJoinRandomData_100_2(t *testing.B) { benchmarkJoinRandomData(100, 3, t) }
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func BenchmarkJoinRandomData_1000_2(t *testing.B) { benchmarkJoinRandomData(1000, 3, t) }
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func BenchmarkJoinRandomData_10000_2(t *testing.B) { benchmarkJoinRandomData(10000, 3, t) }
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func BenchmarkJoinRandomData_100000_2(t *testing.B) { benchmarkJoinRandomData(100000, 3, t) }
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func BenchmarkJoinRandomData_1000000_2(t *testing.B) { benchmarkJoinRandomData(1000000, 3, t) }
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func BenchmarkSplitRandomData_100_2(t *testing.B) { benchmarkSplitRandomData(100, 3, t) }
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func BenchmarkSplitRandomData_1000_2(t *testing.B) { benchmarkSplitRandomData(1000, 3, t) }
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func BenchmarkSplitRandomData_10000_2(t *testing.B) { benchmarkSplitRandomData(10000, 3, t) }
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func BenchmarkSplitRandomData_100000_2(t *testing.B) { benchmarkSplitRandomData(100000, 3, t) }
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func BenchmarkSplitRandomData_1000000_2(t *testing.B) { benchmarkSplitRandomData(1000000, 3, t) }
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func BenchmarkSplitRandomData_10000000_2(t *testing.B) { benchmarkSplitRandomData(10000000, 3, t) }
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func BenchmarkSplitRandomData_100000000_2(t *testing.B) { benchmarkSplitRandomData(100000000, 3, t) }
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func BenchmarkSplitRandomData_100_2(t *testing.B) { benchmarkSplitRandomData(100, 3, t) }
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func BenchmarkSplitRandomData_1000_2(t *testing.B) { benchmarkSplitRandomData(1000, 3, t) }
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func BenchmarkSplitRandomData_10000_2(t *testing.B) { benchmarkSplitRandomData(10000, 3, t) }
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func BenchmarkSplitRandomData_100000_2(t *testing.B) { benchmarkSplitRandomData(100000, 3, t) }
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func BenchmarkSplitRandomData_1000000_2(t *testing.B) { benchmarkSplitRandomData(1000000, 3, t) }
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func BenchmarkSplitRandomData_10000000_2(t *testing.B) { benchmarkSplitRandomData(10000000, 3, t) }
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// go test -bench ./bzz -cpuprofile cpu.out -memprofile mem.out
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@ -1,16 +1,5 @@
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package bzz
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/*
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TODO:
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- put Data -> Reader logic to chunker
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- clarify dpa / localStore / hive / netstore naming and division of labour and entry points for local/remote requests
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- figure out if its a problem that peers on requester list may disconnect while searching
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- Id (nonce/requester map key) should probs be random byte slice or (hash of) originator's address to avoid collisions
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- rework protocol errors using errs after PR merged
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- integrate cademlia as peer pool
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- finish the net/dht logic, startSearch and storage
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*/
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import (
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"math/rand"
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"sync"
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