s3-parallel-put Parallel uploads to Amazon AWS S3
s3-parallel-put speeds the uploading of many small keys to Amazon AWS S3 by executing multiple PUTs in parallel.
- Python 2.X
The program reads your credentials from the environment variables
s3-parallel-put --bucket=BUCKET --prefix=PREFIX SOURCE
Keys are computed by combining
PREFIX with the path of the file, starting
SOURCE. Values are file contents.
There are a few other options:
--dry-run causes the program to print what it would do, but not to upload
any files. It is strongly recommended that you test the program with this
option before transferring any real data.
--limit=N causes the program to upload no more than N files. Combined
--dry-run, this is also useful for testing.
--put=MODE sets the heuristic used for deciding whether to upload a file
or not. Valid modes are:
addset the key's content if the key is not already present.
stupidalways set the key's content.
updateset the key's content if the key is not already present and its content has changed (as determined by its ETag).
The default heuristic is
update. If you know that the keys are not
already present then
stupid is fastest (it avoids an extra HEAD request
for each key). If you know that some keys are already present and that they
have the correct values, then
add is faster than
update (it avoids
calculating the MD5 sum of the content on the client side).
--content-type=CONTENT-TYPE sets the
--gzip compresses common text files and sets the
Content-Encoding header to
--gzip-type=CONTENT-TYPE can be used multiple times to specify what content
types should be gzipped. To extend the existing set, specify
guess too, (eg.
--gzip-type=guess --gzip-type="image/svg+xml"). To gzip everything, specify
--processes=N sets the number of parallel upload processes.
--verbose causes more output to be printed, including progress of individual files.
--quiet causes less output.
--insecure control whether a secure connection is used.
--grant applies a
to all files uploaded.
--header=HEADER:VALUE adds an arbitrary header to the S3 file. This
option can be specified multiple times.
- A walker process generates (filename, key_name) pairs and inserts them in
- Multiple putter processes consume these pairs in parallel, uploading the
files to S3 and sending file-by-file statistics to
- A statter process consumes these file-by-file statistics and generates summary statistics.
- Limited error checking.
Automatically parallelize uploads of large files by splitting into chunks.
The MIT License (MIT)
Copyright (c) 2011-2014 Tom Payne
Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions:
The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software.
THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.
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