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flate: Allocate less for history. (#375)
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Reduce history from 640KB to 320KB.
Allocate freqcache in the encoder.
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klauspost authored May 19, 2021
1 parent 6274b7e commit 216f3e5
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Showing 4 changed files with 60 additions and 10 deletions.
4 changes: 4 additions & 0 deletions README.md
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Expand Up @@ -272,6 +272,10 @@ The packages contains the same as the standard library, so you can use the godoc

Currently there is only minor speedup on decompression (mostly CRC32 calculation).

Memory usage is typically 1MB for a Writer. stdlib is in the same range.
If you expect to have a lot of concurrently allocated Writers consider using
the stateless compress described below.

# Stateless compression

This package offers stateless compression as a special option for gzip/deflate.
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2 changes: 1 addition & 1 deletion flate/fast_encoder.go
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Expand Up @@ -45,7 +45,7 @@ const (

bTableBits = 17 // Bits used in the big tables
bTableSize = 1 << bTableBits // Size of the table
allocHistory = maxStoreBlockSize * 10 // Size to preallocate for history.
allocHistory = maxStoreBlockSize * 5 // Size to preallocate for history.
bufferReset = (1 << 31) - allocHistory - maxStoreBlockSize - 1 // Reset the buffer offset when reaching this.
)

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16 changes: 7 additions & 9 deletions flate/huffman_code.go
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Expand Up @@ -21,9 +21,13 @@ type hcode struct {
}

type huffmanEncoder struct {
codes []hcode
freqcache []literalNode
bitCount [17]int32
codes []hcode
bitCount [17]int32

// Allocate a reusable buffer with the longest possible frequency table.
// Possible lengths are codegenCodeCount, offsetCodeCount and literalCount.
// The largest of these is literalCount, so we allocate for that case.
freqcache [literalCount + 1]literalNode
}

type literalNode struct {
Expand Down Expand Up @@ -306,12 +310,6 @@ func (h *huffmanEncoder) assignEncodingAndSize(bitCount []int32, list []literalN
// freq An array of frequencies, in which frequency[i] gives the frequency of literal i.
// maxBits The maximum number of bits to use for any literal.
func (h *huffmanEncoder) generate(freq []uint16, maxBits int32) {
if h.freqcache == nil {
// Allocate a reusable buffer with the longest possible frequency table.
// Possible lengths are codegenCodeCount, offsetCodeCount and literalCount.
// The largest of these is literalCount, so we allocate for that case.
h.freqcache = make([]literalNode, literalCount+1)
}
list := h.freqcache[:len(freq)+1]
// Number of non-zero literals
count := 0
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48 changes: 48 additions & 0 deletions flate/reader_test.go
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Expand Up @@ -6,13 +6,61 @@ package flate

import (
"bytes"
"compress/flate"
"fmt"
"io"
"io/ioutil"
"runtime"
"strings"
"testing"
)

func TestMemUsage(t *testing.T) {
testMem := func(t *testing.T, fn func()) {
var before, after runtime.MemStats
runtime.GC()
runtime.ReadMemStats(&before)
fn()
runtime.GC()
runtime.ReadMemStats(&after)
t.Logf("%s: Memory Used: %dKB, %d allocs", t.Name(), (after.HeapInuse-before.HeapInuse)/1024, after.HeapObjects-before.HeapObjects)
}
data := make([]byte, 100000)
t.Run(fmt.Sprint("stateless"), func(t *testing.T) {
testMem(t, func() {
StatelessDeflate(ioutil.Discard, data, false, nil)
})
})
for level := HuffmanOnly; level <= BestCompression; level++ {
t.Run(fmt.Sprint("level-", level), func(t *testing.T) {
var zr *Writer
var err error
testMem(t, func() {
zr, err = NewWriter(ioutil.Discard, level)
if err != nil {
t.Fatal(err)
}
zr.Write(data)
})
zr.Close()
})
}
for level := HuffmanOnly; level <= BestCompression; level++ {
t.Run(fmt.Sprint("stdlib-", level), func(t *testing.T) {
var zr *flate.Writer
var err error
testMem(t, func() {
zr, err = flate.NewWriter(ioutil.Discard, level)
if err != nil {
t.Fatal(err)
}
zr.Write(data)
})
zr.Close()
})
}
}

func TestNlitOutOfRange(t *testing.T) {
// Trying to decode this bogus flate data, which has a Huffman table
// with nlit=288, should not panic.
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