I am copying a network stream to a file using io.Copy. I would like to extract the current speed, preferably in bytes per second, that the transfer is operating at.
res, err := http.Get(url)
if err != nil {
panic(err)
}
// Open output file
out, err := os.OpenFile("output", os.O_APPEND|os.O_CREATE|os.O_WRONLY, 0644)
if err != nil {
panic(err)
}
// Close output file as well as body
defer out.Close()
defer func(Body io.ReadCloser) {
err := Body.Close()
if err != nil {
panic(err)
}
}(res.Body)
_, err := io.Copy(out, res.Body)
As noted in the comments - the entire transfer rate is easily computed after the fact - especially when using io.Copy. If you want to track "live" transfer rates - and poll the results over a long file transfer - then a little more work is involved.
Below I've outlined a simple io.Reader wrapper to track the overall transfer rate. For brevity, it is not goroutine safe, but would be trivial do make it so. And then one could poll from another goroutine the progress, while the main goroutine does the reading.
You can create a io.Reader wrapper - and use that to track the moment of first read - and then track future read byte counts. The final result may look like this:
r := NewRater(resp.Body) // io.Reader wrapper
n, err := io.Copy(out, r)
log.Print(r) // stringer method shows human readable "b/s" output
To implement this, one approach:
type rate struct {
r io.Reader
count int64 // may have large (2GB+) files - so don't use int
start, end time.Time
}
func NewRater(r io.Reader) *rate { return &rate{r: r} }
then we need the wrapper Read to track the underlying io.Readers progress:
func (r *rate) Read(b []byte) (n int, err error) {
if r.start.IsZero() {
r.start = time.Now()
}
n, err = r.r.Read(b) // underlying io.Reader read
r.count += int64(n)
if err == io.EOF {
r.end = time.Now()
}
return
}
the rate at any time can be polled like so - even before EOF:
func (r *rate) Rate() (n int64, d time.Duration) {
end := r.rend
if end.IsZero() {
end = time.Now()
}
return r.count, end.Sub(r.start)
}
and a simple Stringer method to show b/s:
func (r *rate) String() string {
n, d := r.Rate()
return fmt.Sprintf("%.0f b/s", float64(n)/(d.Seconds()))
}
Note: the above io.Reader wrapper has no locking in place, so operations must be from the same goroutine. Since the question relates to io.Copy - then this is a safe assumption to make.
Related
I'm trying to improve the performance of an app.
One part of its code uploads a file to a server in chunks.
The original version simply does this in a sequential loop. However, it's slow and during the sequence it also needs to talk to another server before uploading each chunk.
The upload of chunks could simply be placed in a goroutine. It works, but is not a good solution because if the source file is extremely large it ends up using a large amount of memory.
So, I try to limit the number of active goroutines by using a buffered channel. Here is some code that shows my attempt. I've stripped it down to show the concept and you can run it to test for yourself.
package main
import (
"fmt"
"io"
"os"
"time"
)
const defaultChunkSize = 1 * 1024 * 1024
// Lets have 4 workers
var c = make(chan int, 4)
func UploadFile(f *os.File) error {
fi, err := f.Stat()
if err != nil {
return fmt.Errorf("err: %s", err)
}
size := fi.Size()
total := (int)(size/defaultChunkSize + 1)
// Upload parts
buf := make([]byte, defaultChunkSize)
for partno := 1; partno <= total; partno++ {
readChunk := func(offset int, buf []byte) (int, error) {
fmt.Println("readChunk", partno, offset)
n, err := f.ReadAt(buf, int64(offset))
if err != nil {
return n, err
}
return n, nil
}
// This will block if there are not enough worker slots available
c <- partno
// The actual worker.
go func() {
offset := (partno - 1) * defaultChunkSize
n, err := readChunk(offset, buf)
if err != nil && err != io.EOF {
return
}
err = uploadPart(partno, buf[:n])
if err != nil {
fmt.Println("Uploadpart failed:", err)
}
<-c
}()
}
return nil
}
func uploadPart(partno int, buf []byte) error {
fmt.Printf("Uploading partno: %d, buflen=%d\n", partno, len(buf))
// Actually upload the part. Lets test it by instead writing each
// buffer to another file. We can then use diff to compare the
// source and dest files.
// Open file. Seek to (partno - 1) * defaultChunkSize, write buffer
f, err := os.OpenFile("/home/matthewh/Downloads/out.tar.gz", os.O_CREATE|os.O_WRONLY, 0755)
if err != nil {
fmt.Printf("err: %s\n", err)
}
n, err := f.WriteAt(buf, int64((partno-1)*defaultChunkSize))
if err != nil {
fmt.Printf("err=%s\n", err)
}
fmt.Printf("%d bytes written\n", n)
defer f.Close()
return nil
}
func main() {
filename := "/home/matthewh/Downloads/largefile.tar.gz"
fmt.Printf("Opening file: %s\n", filename)
f, err := os.Open(filename)
if err != nil {
panic(err)
}
UploadFile(f)
}
It almost works. But there are several problems.
1) The final partno 22 is occuring 3 times. The correct length is actually 612545 as the file length isn't a multiple of 1MB.
// Sample output
...
readChunk 21 20971520
readChunk 22 22020096
Uploading partno: 22, buflen=1048576
Uploading partno: 22, buflen=612545
Uploading partno: 22, buflen=1048576
Another problem, the upload could fail and I am not familiar enough with go and how best to solve failure of the goroutine.
Finally, I want to ordinarily return some data from the uploadPart when it succeeds. Specifically, it'll be a string (an HTTP ETag header value). These etag values need to be collected by the main function.
What is a better way to structure this code in this instance? I've not yet found a good golang design pattern that correctly fulfills my needs here.
Skipping for the moment the question of how better to structure this code, I see a bug in your code which may be causing the problem you're seeing. Since the function you're running in the goroutine uses the variable partno, which changes with each iteration of the loop, your goroutine isn't necessarily seeing the value of partno at the time you invoked the goroutine. A common way of fixing this is to create a local copy of that variable inside the loop:
for partno := 1; partno <= total; partno++ {
partno := partno
// ...
}
Data race #1
Multiple goroutines are using the same buffer concurrently. Note that one gorouting may be filling it with a new chunk while another is still reading an old chunk from it. Instead, each goroutine should have it's own buffer.
Data race #2
As Andy Schweig has pointed, the value in partno is updated by the loop before the goroutine created in that iteration has a chance to read it. This is why the final partno 22 occurs multiple times. To fix it, you can pass partno as a argument to the anonymous function. That will ensure each goroutine has it's own part number.
Also, you can use a channel to pass the results from the workers. Maybe a struct type with the part number and error. That way, you will be able to observe the progress and retry failed uploads.
For an example of a good pattern check out this example from the GOPL book.
Suggested changes
As noted by dev.bmax buf moved into go routine, as noted by Andy Schweig partno is param to anon function, also added WaitGroup since UploadFile was exiting before uploads were complete. Also defer f.Close() file, good habit.
package main
import (
"fmt"
"io"
"os"
"sync"
"time"
)
const defaultChunkSize = 1 * 1024 * 1024
// wg for uploads to complete
var wg sync.WaitGroup
// Lets have 4 workers
var c = make(chan int, 4)
func UploadFile(f *os.File) error {
// wait for all the uploads to complete before function exit
defer wg.Wait()
fi, err := f.Stat()
if err != nil {
return fmt.Errorf("err: %s", err)
}
size := fi.Size()
fmt.Printf("file size: %v\n", size)
total := int(size/defaultChunkSize + 1)
// Upload parts
for partno := 1; partno <= total; partno++ {
readChunk := func(offset int, buf []byte, partno int) (int, error) {
fmt.Println("readChunk", partno, offset)
n, err := f.ReadAt(buf, int64(offset))
if err != nil {
return n, err
}
return n, nil
}
// This will block if there are not enough worker slots available
c <- partno
// The actual worker.
go func(partno int) {
// wait for me to be done
wg.Add(1)
defer wg.Done()
buf := make([]byte, defaultChunkSize)
offset := (partno - 1) * defaultChunkSize
n, err := readChunk(offset, buf, partno)
if err != nil && err != io.EOF {
return
}
err = uploadPart(partno, buf[:n])
if err != nil {
fmt.Println("Uploadpart failed:", err)
}
<-c
}(partno)
}
return nil
}
func uploadPart(partno int, buf []byte) error {
fmt.Printf("Uploading partno: %d, buflen=%d\n", partno, len(buf))
// Actually do the upload. Simulate long running task with a sleep
time.Sleep(time.Second)
return nil
}
func main() {
filename := "/home/matthewh/Downloads/largefile.tar.gz"
fmt.Printf("Opening file: %s\n", filename)
f, err := os.Open(filename)
if err != nil {
panic(err)
}
defer f.Close()
UploadFile(f)
}
I'm sure you can deal a little smarter with the buf situation. I'm just letting go deal with the garbage. Since you are limiting your workers to specific number 4 you really need only 4 x defaultChunkSize buffers. Please do share if you come up with something simple and shareworth.
Have fun!
When I try to copy from a Reader to a Writer manually, I notice that this works:
func fromAToB(a, b net.Conn) {
buf := make([]byte, 1024*32)
for {
n, err := a.Read(buf)
if n > 0 {
if err != nil {
log.Fatal(err)
}
b.Write(buf[0:n])
}
}
}
But this doesn't
func fromAToB(a, b net.Conn) {
buf := make([]byte, 1024*32)
for {
_, err := a.Read(buf)
if err != nil {
log.Fatal(err)
}
b.Write(buf)
}
}
So the questions are:
Why is the check if n>0 necessary?
Is this only necessary for net.Conn or for any type that implements the Reader and Writer interfaces?
EDIT: The second snippet runs fine without any runtime error, just that the behavior is not correct. I want to know what is the effect of that n>0 check and what will happen under the surface when I remove it.
There's already a function io.Copy to do exactly this. You can see how it's implemented for a good example. It works with all io.Reader/io.Writer types.
I figured it out: without n, it will write the whole buffer (32*1024 bytes) to the Writer instead of just n bytes, and that's the source of the weird behavior.
I am using os.Pipes() in my program, but for some reason it gives a bad file descriptor error each time i try to write or read data from it.
Is there some thing I am doing wrong?
Below is the code
package main
import (
"fmt"
"os"
)
func main() {
writer, reader, err := os.Pipe()
if err != nil {
fmt.Println(err)
}
_,err= writer.Write([]byte("hello"))
if err != nil {
fmt.Println(err)
}
var data []byte
_, err = reader.Read(data)
if err != nil {
fmt.Println(err)
}
fmt.Println(string(data))
}
output :
write |0: Invalid argument
read |1: Invalid argument
You are using an os.Pipe, which returns a pair of FIFO connected files from the os. This is different than an io.Pipe which is implemented in Go.
The invalid argument errors are because you are reading and writing to the wrong files. The signature of os.Pipe is
func Pipe() (r *File, w *File, err error)
which shows that the returns values are in the order "reader, writer, error".
and io.Pipe:
func Pipe() (*PipeReader, *PipeWriter)
Also returning in the order "reader, writer"
When you check the error from the os.Pipe function, you are only printing the value. If there was an error, the files are invalid. You need to return or exit on that error.
Pipes are also blocking (though an os.Pipe has a small, hard coded buffer), so you need to read and write asynchronously. If you swapped this for an io.Pipe it would deadlock immediately. Dispatch the Read method inside a goroutine and wait for it to complete.
Finally, you are reading into a nil slice, which will read nothing. You need to allocate space to read into, and you need to record the number of bytes read to know how much of the buffer is used.
A more correct version of your example would look like:
reader, writer, err := os.Pipe()
if err != nil {
log.Fatal(err)
}
var wg sync.WaitGroup
wg.Add(1)
go func() {
defer wg.Done()
data := make([]byte, 1024)
n, err = reader.Read(data)
if n > 0 {
fmt.Println(string(data[:n]))
}
if err != nil && err != io.EOF {
fmt.Println(err)
}
}()
_, err = writer.Write([]byte("hello"))
if err != nil {
fmt.Println(err)
}
wg.Wait()
I'm struggling to handle nested zip files in Go (where a zip file contains another zip file). I'm trying to recurse a zip file and list all of the files it contains.
archive/zip gives you two methods for handling a zip file:
zip.NewReader
zip.OpenReader
OpenReader opens a file on disk. NewReader accepts an io.ReaderAt and a file size. As you iterate through the zipped files with either of these, you get out a zip.File for each file inside the zip. To get the file contents of file f, you call f.Open which gives you a zip.ReadCloser. To open a nested zip file, I'd need to use NewReader, but zip.File and zip.ReadCloser do not satisfy the io.ReaderAt interface.
zip.File has a private field zipr which is an io.ReaderAt and zip.ReadCloser has a private field f which is an os.File which should satisfy the requirements for NewReader.
My question: is there any way to open a nested zip file without first writing the contents to a file on disk, or reading the whole thing into memory.
It looks like everything that is needed is available in zip.File, but isn't exported. I'm hoping I missed something.
How about an io.ReaderAt from an io.Reader that reinitializes if you decided to go backwards: (this code is largely untested, but hopefully you get the idea)
package main
import (
"io"
"io/ioutil"
"os"
"strings"
)
type inefficientReaderAt struct {
rdr io.ReadCloser
cur int64
initer func() (io.ReadCloser, error)
}
func newInefficentReaderAt(initer func() (io.ReadCloser, error)) *inefficientReaderAt {
return &inefficientReaderAt{
initer: initer,
}
}
func (r *inefficientReaderAt) Read(p []byte) (n int, err error) {
n, err = r.rdr.Read(p)
r.cur += int64(n)
return n, err
}
func (r *inefficientReaderAt) ReadAt(p []byte, off int64) (n int, err error) {
// reset on rewind
if off < r.cur || r.rdr == nil {
r.cur = 0
r.rdr, err = r.initer()
if err != nil {
return 0, err
}
}
if off > r.cur {
sz, err := io.CopyN(ioutil.Discard, r.rdr, off-r.cur)
n = int(sz)
if err != nil {
return n, err
}
}
return r.Read(p)
}
func main() {
r := newInefficentReaderAt(func() (io.ReadCloser, error) {
return ioutil.NopCloser(strings.NewReader("ABCDEFG")), nil
})
io.Copy(os.Stdout, io.NewSectionReader(r, 0, 3))
io.Copy(os.Stdout, io.NewSectionReader(r, 1, 3))
}
If you mostly move forwards this probably works ok. Especially if you use a buffered reader.
I should note that this violates the io.ReaderAt guarantees: https://godoc.org/io#ReaderFrom , namely it doesn't allow parallel calls to ReadAt, and doesn't block on full reads, so this may not even work properly
I ran into the exact same need and came up with the following approach, not sure if its any help to you:
// NewZipFromReader ...
func NewZipFromReader(file io.ReadCloser, size int64) (*zip.Reader, error) {
in := file.(io.Reader)
if _, ok := in.(io.ReaderAt); ok != true {
buffer, err := ioutil.ReadAll(in)
if err != nil {
return nil, err
}
in = bytes.NewReader(buffer)
size = int64(len(buffer))
}
reader, err := zip.NewReader(in.(io.ReaderAt), size)
if err != nil {
return nil, err
}
return reader, nil
}
So if file doesn't implement io.ReaderAt it reads the whole contents into a buffer.
It's probably not safe to handle ZIP bombs, and will defenitely fail with OOM for files larger than RAM.
I am trying build a zip archive from a large number of small-medium sized files. I want to be able to do this concurrently, since compression is CPU intensive, and I'm running on a multi core server. Also I don't want to have the whole archive in memory, since its might turn out to be large.
My question is that do I have to compress every file and then combine manually combine everything together with zip header, checksum etc?
Any help would be greatly appreciated.
I don't think you can combine the zip headers.
What you could do is, run the zip.Writer sequentially, in a separate goroutine, and then spawn a new goroutine for each file that you want to read, and pipe those to the goroutine that is zipping them.
This should reduce the IO overhead that you get by reading the files sequentially, although it probably won't leverage multiple cores for the archiving itself.
Here's a working example. Note that, to keep things simple,
it does not handle errors nicely, just panics if something goes wrong,
and it does not use the defer statement too much, to demonstrate the order in which things should happen.
Since defer is LIFO, it can sometimes be confusing when you stack a lot of them together.
package main
import (
"archive/zip"
"io"
"os"
"sync"
)
func ZipWriter(files chan *os.File) *sync.WaitGroup {
f, err := os.Create("out.zip")
if err != nil {
panic(err)
}
var wg sync.WaitGroup
wg.Add(1)
zw := zip.NewWriter(f)
go func() {
// Note the order (LIFO):
defer wg.Done() // 2. signal that we're done
defer f.Close() // 1. close the file
var err error
var fw io.Writer
for f := range files {
// Loop until channel is closed.
if fw, err = zw.Create(f.Name()); err != nil {
panic(err)
}
io.Copy(fw, f)
if err = f.Close(); err != nil {
panic(err)
}
}
// The zip writer must be closed *before* f.Close() is called!
if err = zw.Close(); err != nil {
panic(err)
}
}()
return &wg
}
func main() {
files := make(chan *os.File)
wait := ZipWriter(files)
// Send all files to the zip writer.
var wg sync.WaitGroup
wg.Add(len(os.Args)-1)
for i, name := range os.Args {
if i == 0 {
continue
}
// Read each file in parallel:
go func(name string) {
defer wg.Done()
f, err := os.Open(name)
if err != nil {
panic(err)
}
files <- f
}(name)
}
wg.Wait()
// Once we're done sending the files, we can close the channel.
close(files)
// This will cause ZipWriter to break out of the loop, close the file,
// and unblock the next mutex:
wait.Wait()
}
Usage: go run example.go /path/to/*.log.
This is the order in which things should be happening:
Open output file for writing.
Create a zip.Writer with that file.
Kick off a goroutine listening for files on a channel.
Go through each file, this can be done in one goroutine per file.
Send each file to the goroutine created in step 3.
After processing each file in said goroutine, close the file to free up resources.
Once each file has been sent to said goroutine, close the channel.
Wait until the zipping has been done (which is done sequentially).
Once zipping is done (channel exhausted), the zip writer should be closed.
Only when the zip writer is closed, should the output file be closed.
Finally everything is closed, so close the sync.WaitGroup to tell the calling function that we're good to go. (A channel could also be used here, but sync.WaitGroup seems more elegant.)
When you get the signal from the zip writer that everything is properly closed, you can exit from main and terminate nicely.
This might not answer your question, but I've been using similar code to generate zip archives on-the-fly for a web service some time ago. It performed quite well, even though the actual zipping was done in a single goroutine. Overcoming the IO bottleneck can already be an improvement.
From the look of it, you won't be able to parallelise the compression using the standard library archive/zip package because:
Compression is performed by the io.Writer returned by zip.Writer.Create or CreateHeader.
Calling Create/CreateHeader implicitly closes the writer returned by the previous call.
So passing the writers returned by Create to multiple goroutines and writing to them in parallel will not work.
If you wanted to write your own parallel zip writer, you'd probably want to structure it something like this:
Have multiple goroutines compress files using the compress/flate module, and keep track of the CRC32 value and length of the uncompressed data. The output should be directed to temporary files. Note the compressed size of the data.
Once everything has been compressed, start writing the Zip file starting with the header.
Write out the file header followed by the contents of the corresponding temporary file for each compressed file.
Write out the central directory record and end record at the end of the file. All the required information should be available at this point.
For added parallelism, step 1 could be performed in parallel with the remaining steps by using a channel to indicate when compression of each file completes.
Due to the file format, you won't be able to perform parallel compression without either storing compressed data in memory or in temporary files.
With Go1.17, parallel compression and merging of zip files are possible using the archive/zip package.
An example is below. In the example, I create zip workers to create individual zip files and an entry provider worker which provides entries to be added to a zip file via a channel to zip workers. Actual files can be provided to the zip workers but I skipped that part.
package main
import (
"archive/zip"
"context"
"fmt"
"io"
"log"
"os"
"strings"
"golang.org/x/sync/errgroup"
)
const numOfZipWorkers = 10
type entry struct {
name string
rc io.ReadCloser
}
func main() {
log.SetFlags(log.LstdFlags | log.Lshortfile)
entCh := make(chan entry, numOfZipWorkers)
zpathCh := make(chan string, numOfZipWorkers)
group, ctx := errgroup.WithContext(context.Background())
for i := 0; i < numOfZipWorkers; i++ {
group.Go(func() error {
return zipWorker(ctx, entCh, zpathCh)
})
}
group.Go(func() error {
defer close(entCh) // Signal workers to stop.
return entryProvider(ctx, entCh)
})
err := group.Wait()
if err != nil {
log.Fatal(err)
}
f, err := os.OpenFile("output.zip", os.O_CREATE|os.O_TRUNC|os.O_WRONLY, 0644)
if err != nil {
log.Fatal(err)
}
zw := zip.NewWriter(f)
close(zpathCh)
for path := range zpathCh {
zrd, err := zip.OpenReader(path)
if err != nil {
log.Fatal(err)
}
for _, zf := range zrd.File {
err := zw.Copy(zf)
if err != nil {
log.Fatal(err)
}
}
_ = zrd.Close()
_ = os.Remove(path)
}
err = zw.Close()
if err != nil {
log.Fatal(err)
}
err = f.Close()
if err != nil {
log.Fatal(err)
}
}
func entryProvider(ctx context.Context, entCh chan<- entry) error {
for i := 0; i < 2*numOfZipWorkers; i++ {
select {
case <-ctx.Done():
return ctx.Err()
case entCh <- entry{
name: fmt.Sprintf("file_%d", i+1),
rc: io.NopCloser(strings.NewReader(fmt.Sprintf("content %d", i+1))),
}:
}
}
return nil
}
func zipWorker(ctx context.Context, entCh <-chan entry, zpathch chan<- string) error {
f, err := os.CreateTemp(".", "tmp-part-*")
if err != nil {
return err
}
zw := zip.NewWriter(f)
Loop:
for {
var (
ent entry
ok bool
)
select {
case <-ctx.Done():
err = ctx.Err()
break Loop
case ent, ok = <-entCh:
if !ok {
break Loop
}
}
hdr := &zip.FileHeader{
Name: ent.name,
Method: zip.Deflate, // zip.Store can also be used.
}
hdr.SetMode(0644)
w, e := zw.CreateHeader(hdr)
if e != nil {
_ = ent.rc.Close()
err = e
break
}
_, e = io.Copy(w, ent.rc)
_ = ent.rc.Close()
if e != nil {
err = e
break
}
}
if e := zw.Close(); e != nil && err == nil {
err = e
}
if e := f.Close(); e != nil && err == nil {
err = e
}
if err == nil {
select {
case <-ctx.Done():
err = ctx.Err()
case zpathch <- f.Name():
}
}
return err
}