-
-
Save michaeltcoelho/15ae0d49b2f78d8d1627bcfee90b677b to your computer and use it in GitHub Desktop.
Parallel S3 multipart upload with retries
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
import logging | |
import math | |
import mimetypes | |
from multiprocessing import Pool | |
import os | |
from boto.s3.connection import S3Connection | |
from filechunkio import FileChunkIO | |
def _upload_part(bucketname, aws_key, aws_secret, multipart_id, part_num, | |
source_path, offset, bytes, amount_of_retries=10): | |
""" | |
Uploads a part with retries. | |
""" | |
def _upload(retries_left=amount_of_retries): | |
try: | |
logging.info('Start uploading part #%d ...' % part_num) | |
conn = S3Connection(aws_key, aws_secret) | |
bucket = conn.get_bucket(bucketname) | |
for mp in bucket.get_all_multipart_uploads(): | |
if mp.id == multipart_id: | |
with FileChunkIO(source_path, 'r', offset=offset, | |
bytes=bytes) as fp: | |
mp.upload_part_from_file(fp=fp, part_num=part_num) | |
break | |
except Exception, exc: | |
if retries_left: | |
_upload(retries_left=retries_left - 1) | |
else: | |
logging.info('... Failed uploading part #%d' % part_num) | |
raise exc | |
else: | |
logging.info('... Uploaded part #%d' % part_num) | |
_upload() | |
def upload(bucketname, aws_key, aws_secret, source_path, keyname, | |
acl='private', headers={}, guess_mimetype=True, parallel_processes=4): | |
""" | |
Parallel multipart upload. | |
""" | |
conn = S3Connection(aws_key, aws_secret) | |
bucket = conn.get_bucket(bucketname) | |
if guess_mimetype: | |
mtype = mimetypes.guess_type(keyname)[0] or 'application/octet-stream' | |
headers.update({'Content-Type': mtype}) | |
mp = bucket.initiate_multipart_upload(keyname, headers=headers) | |
source_size = os.stat(source_path).st_size | |
bytes_per_chunk = max(int(math.sqrt(5242880) * math.sqrt(source_size)), | |
5242880) | |
chunk_amount = int(math.ceil(source_size / float(bytes_per_chunk))) | |
pool = Pool(processes=parallel_processes) | |
for i in range(chunk_amount): | |
offset = i * bytes_per_chunk | |
remaining_bytes = source_size - offset | |
bytes = min([bytes_per_chunk, remaining_bytes]) | |
part_num = i + 1 | |
pool.apply_async(_upload_part, [bucketname, aws_key, aws_secret, mp.id, | |
part_num, source_path, offset, bytes]) | |
pool.close() | |
pool.join() | |
if len(mp.get_all_parts()) == chunk_amount: | |
mp.complete_upload() | |
key = bucket.get_key(keyname) | |
key.set_acl(acl) | |
else: | |
mp.cancel_upload() |
Sign up for free
to join this conversation on GitHub.
Already have an account?
Sign in to comment