How to do parallel uploads to the same s3 bucket directory with s3cmd

Question

I try to run the following code but index.js turns out to be corrupted.

Any idea why?

gzip dist/production/index.js
mv dist/production/index.js.gz dist/production/index.js

s3cmd --access_key="$S3_ACCESS_KEY" --secret_key="$S3_SECRET_KEY" \
      --acl-public --no-mime-magic --progress --recursive         \
      --exclude "dist/production/index.js" \
      put dist/production/ 
      "s3://${BUCKET}/something/${BUILD_IDENTIFIER}/production/" &

s3cmd --access_key="$S3_ACCESS_KEY" --secret_key="$S3_SECRET_KEY" \
      --acl-public --no-mime-magic --progress --recursive         \
      --add-header="Content-Encoding:gzip" \
      put dist/production/index.js 
      "s3://${BUCKET}/something/${BUILD_IDENTIFIER}/production/" &

wait

If the upload is not parallel, the uploading process seems to turn out fine.

Answer 1

If you are doing it on purpose why not maintain the gz extension. Extensions does lot of things when you handle with browser.

cp dist/production/index.js.gz dist/production/index.js.gz

If you use plain s3 to download and verify the hash, they should be the same file. I did verify it.

Answer 2

Is your problem is not with the line?

cp dist/production/index.js.gz dist/production/index.js

You are copying gzipped file, not the plain index.js text file.

Hope it helps.

Answer 3

You can try using this :

s3upload_single() {
    n=$1
    data=".data" 
    extension=`file $n | cut -d ' ' -f2 | awk '{print tolower($0)}'` 
    mimetype=`file --mime-type $n | cut -d ' ' -f2`
    fullpath=`readlink -f $n`

    changed="${fullpath/.data/.$extension}"

    filePathWithExtensionChanged=${changed#*internal_data}

    s3upload="s3cmd put -m $mimetype --acl-public $fullpath s3://tff-xenforo-data"$filePathWithExtensionChanged     

    response=`$s3upload`
    echo $response 
}
export -f s3upload_single
find -name "*.data" | parallel s3upload_single

Answer 4

you can just use s3cmd-modified which allows you to put/get/sync with multiple workers in parallel

$ git clone https://github.com/pcorliss/s3cmd-modification.git
$ cd s3cmd-modification
$ python setup.py install
$ s3cmd --parallel --workers=4 sync /source/path s3://target/path

Answer 5

Use aws cli. It supports parallel upload of files and it is really fast while uploading and downloading.

http://docs.aws.amazon.com/cli/latest/reference/s3/