golang写的一个图片服务器，在批量下载压缩时候发现内存不断增长。。。。
幸好golang自带内存占用日志结合分析工具可以方便看到内存分布。
详细可参考：
http://blog.golang.org/profiling-go-programs
可以实时统计CPU\内存信息。
这里主要说一下内存怎么搞。CPU分析的参考之前的一篇文章。
//需要包含这个pprof包
import "runtime/pprof"
//这里接收内存统计信息保存文件
var memprofile = flag.String("memprofile", "", "write memory profile to this file")
//这里是判断是否需要记录内存的逻辑
if *memprofile != "" {
var err error
memFile, err = os.Create(*memprofile)
if err != nil {
log.Println(err)
} else {
log.Println("start write heap profile....")
pprof.WriteHeapProfile(memFile)
defer memFile.Close()
}
}
//这里还有一个比较灵活的办法，把开启记录和关闭记录作为http请求，需要的时候开启\不需要的时候关闭。记得加上token
全部代码如下：
// GODEBUG=schedtrace=1000 ./trace_example
// GOMAXPROCS=2 GODEBUG=schedtrace=1000 ./trace_example
// GOMAXPROCS=2 GODEBUG=schedtrace=1000,scheddetail=1 ./trace_example
package main
import (
"flag"
"log"
"os"
"runtime/pprof"
// "net/http"
// _ "net/http/pprof"
"sync"
"time"
)
//http://www.graphviz.org/Download_macos.php
// var cpuprofile = flag.String("cpuprofile", "", "write cpu profile to file")
var memprofile = flag.String("memprofile", "", "write memory profile to this file")
var memFile *os.File
func main() {
flag.Parse()
// if *cpuprofile != "" {
// f, err := os.Create(*cpuprofile)
// if err != nil {
// log.Fatal(err)
// }
// pprof.StartCPUProfile(f)
// defer pprof.StopCPUProfile()
// }
if *memprofile != "" {
var err error
memFile, err = os.Create(*memprofile)
if err != nil {
log.Println(err)
} else {
log.Println("start write heap profile....")
pprof.WriteHeapProfile(memFile)
defer memFile.Close()
}
}
// go func() {
// log.Println(http.ListenAndServe("localhost:6060", nil))
// }()
var wg sync.WaitGroup
wg.Add(10)
for i := 0; i < 10; i++ {
go work(&wg)
}
wg.Wait()
// Wait to see the global run queue deplete.
time.Sleep(300 * time.Second)
}
func work(wg *sync.WaitGroup) {
time.Sleep(time.Second)
var counter int
for i := 0; i < 1e10; i++ {
time.Sleep(time.Millisecond * 100)
pprof.WriteHeapProfile(memFile)
counter++
}
wg.Done()
}
OK，加上这个内存分析数据之后，继续跑服务, 跑了一段时候之后，停止程序,采用以下命令进行分析。
go tool pprof image_service memory.log
(pprof) top20
2622.12MB of 4938.25MB total (53.10%)
Dropped 180 nodes (cum <= 24.69MB)
Showing top 20 nodes out of 30 (cum >= 419.23MB)
flat flat% sum% cum cum%
1759.43MB 35.63% 35.63% 1759.43MB 35.63% bytes.makeSlice
203.06MB 4.11% 39.74% 320.58MB 6.49% net/url.parseQuery
166.11MB 3.36% 43.10% 166.11MB 3.36% net/textproto.(*Reader).ReadLine
132.03MB 2.67% 45.78% 132.03MB 2.67% net/textproto.(*Reader).ReadMIMEHeader
117.52MB 2.38% 48.16% 117.52MB 2.38% net/url.unescape
71.02MB 1.44% 49.60% 71.02MB 1.44% mcommoninit
60.50MB 1.23% 50.82% 60.50MB 1.23% fmt.Sprintf
37.51MB 0.76% 51.58% 98.01MB 1.98% _/home/qingpingzhang/project/createdji_servers/image_service/image.(*Handler).HandleRedo
35.51MB 0.72% 52.30% 333.65MB 6.76% net/http.ReadRequest
21.37MB 0.43% 52.73% 21.37MB 0.43% github.com/gographics/imagick/imagick._Cfunc_GoBytes
17.57MB 0.36% 53.09% 17.57MB 0.36% bufio.NewReaderSize
0.50MB 0.01% 53.10% 21.58MB 0.44% net/http.(*Transport).dialConn
0 0% 53.10% 21.87MB 0.44% _/home/qingpingzhang/project/createdji_servers/image_service/image.(*Handler).CompressWithSizeList
0 0% 53.10% 1781.66MB 36.08% _/home/qingpingzhang/project/createdji_servers/image_service/image.(*Handler).DoRecompress
0 0% 53.10% 1759.29MB 35.63% _/home/qingpingzhang/project/createdji_servers/image_service/image.(*Handler).httpGetToMagickWand
0 0% 53.10% 17.57MB 0.36% bufio.NewReader
0 0% 53.10% 1759.43MB 35.63% bytes.(*Buffer).ReadFrom
0 0% 53.10% 21.37MB 0.43% github.com/gographics/imagick/imagick.(*MagickWand).GetImageBlob
0 0% 53.10% 419.23MB 8.49% main.(*ImageService).ServeHTTP
0 0% 53.10% 419.23MB 8.49% main.Action
(pprof) quit
初步可以定位到时下载压缩时，分配了太多byteSlice导致。
观察代码，没有发现具体原因，直到在网上发现了这篇文章：
http://openmymind.net/Go-Slices-And-The-Case-Of-The-Missing-Memory/
buffer := bytes.NewBuffer(make([]byte, 0, resp.ContentLength) buffer.ReadFrom(res.Body) body := buffer.Bytes()
A Memory Leak
Look, what‘s a memory leak within the context of a runtime that provides garbage collection? Typically it‘s either a rooted object, or a reference from a rooted object, which you haven‘t considered. This is obviously different as it‘s really extra memory you might not be aware of. Rooting the object might very well be intentional, but you don‘t realize just how much memory it is you‘ve rooted. Sure, my ignorance is at least 75% to blame. Yet I can‘t help but shake the feeling that there‘s something too subtle about all of this. Any code can return something that looks and quacks like an array of 2 integers yet takes gigs of memory. Furthermore, bytes.MinRead as a global variable is just bad design. I can‘t imagine how many people think they‘ve allocated X when they‘ve really allocated X*2+512.
大致的意思是说，这个buffer采用最小单位读，若不够，则继续申请2倍大的空间。
可以查看源码：
146 // ReadFrom reads data from r until EOF and appends it to the buffer, growing
147 // the buffer as needed. The return value n is the number of bytes read. Any
148 // error except io.EOF encountered during the read is also returned. If the
149 // buffer becomes too large, ReadFrom will panic with ErrTooLarge.
150 func (b *Buffer) ReadFrom(r io.Reader) (n int64, err error) {
151 b.lastRead = opInvalid
152 // If buffer is empty, reset to recover space.
153 if b.off >= len(b.buf) {
154 b.Truncate(0)
155 }
156 for {
157 if free := cap(b.buf) - len(b.buf); free < MinRead {
158 // not enough space at end
159 newBuf := b.buf
160 if b.off+free < MinRead {
161 // not enough space using beginning of buffer;
162 // double buffer capacity
163 newBuf = makeSlice(2*cap(b.buf) + MinRead)
164 }
165 copy(newBuf, b.buf[b.off:])
166 b.buf = newBuf[:len(b.buf)-b.off]
167 b.off = 0
168 }
169 m, e := r.Read(b.buf[len(b.buf):cap(b.buf)])
170 b.buf = b.buf[0 : len(b.buf)+m]
171 n += int64(m)
172 if e == io.EOF {
173 break
174 }
175 if e != nil {
176 return n, e
177 }
178 }
179 return n, nil // err is EOF, so return nil explicitly
180 }
解决方案：
//ioutil.ReadAll starts at a very small 512
//it really should let you specify an initial size
buffer := bytes.NewBuffer(make([]byte, 0, 65536))
io.Copy(buffer, r.Body)
temp := buffer.Bytes()
length := len(temp)
var body []byte
//are we wasting more than 10% space?
if cap(temp) > (length + length / 10) {
body = make([]byte, length)
copy(body, temp)
} else {
body = temp
}
稍微测试了以下，内存被垃圾回收了。为啥会出现这样的情况呢？
Entering interactive mode (type "help" for commands)
(pprof) top20
834.66MB of 1599.63MB total (52.18%)
Dropped 175 nodes (cum <= 8MB)
Showing top 20 nodes out of 25 (cum >= 72.01MB)
flat flat% sum% cum cum%
427.45MB 26.72% 26.72% 427.45MB 26.72% bytes.makeSlice
185.80MB 11.62% 38.34% 614.25MB 38.40% _/home/qingpingzhang/project/createdji_servers/image_service/image.(*Handler).httpGetToMagickWand
69.01MB 4.31% 42.65% 69.01MB 4.31% net/textproto.(*Reader).ReadMIMEHeader
48MB 3.00% 45.65% 48MB 3.00% net/url.unescape
24.51MB 1.53% 47.18% 24.51MB 1.53% mcommoninit
24.01MB 1.50% 48.68% 72.01MB 4.50% net/url.parseQuery
24MB 1.50% 50.19% 117.02MB 7.32% net/http.ReadRequest
24MB 1.50% 51.69% 24MB 1.50% net/url.parse
7.87MB 0.49% 52.18% 7.87MB 0.49% github.com/gographics/imagick/imagick._Cfunc_GoBytes
0 0% 52.18% 7.87MB 0.49% _/home/qingpingzhang/project/createdji_servers/image_service/image.(*Handler).CompressWithSizeList
0 0% 52.18% 622.62MB 38.92% _/home/qingpingzhang/project/createdji_servers/image_service/image.(*Handler).DoRecompress
0 0% 52.18% 427.95MB 26.75% bytes.(*Buffer).ReadFrom
0 0% 52.18% 7.87MB 0.49% github.com/gographics/imagick/imagick.(*MagickWand).GetImageBlob
0 0% 52.18% 72.01MB 4.50% main.(*ImageService).ServeHTTP
0 0% 52.18% 72.01MB 4.50% main.Action
0 0% 52.18% 72.01MB 4.50% net/http.(*Request).ParseForm
0 0% 52.18% 117.02MB 7.32% net/http.(*conn).readRequest
0 0% 52.18% 117.02MB 7.32% net/http.(*conn).serve
0 0% 52.18% 72.01MB 4.50% net/http.func·014
0 0% 52.18% 72.01MB 4.50% net/url.ParseQuery
在golang语言自带的bytes包里面申请的内存，为啥就不会很快被回收？
不解，IO操作这块儿还需要找时间重新学习一下。
时间： 2024-07-30 13:44:53