[英]How to change permission recursively to folder with AWS s3 or AWS s3api
我正在嘗試向 s3 中的現有帳戶授予權限。
該存儲桶歸該賬戶所有,但數據是從另一個賬戶的存儲桶復制的。
當我嘗試使用以下命令授予權限時:
aws s3api put-object-acl --bucket <bucket_name> --key <folder_name> --profile <original_account_profile> --grant-full-control emailaddress=<destination_account_email>
我收到錯誤:
An error occurred (NoSuchKey) when calling the PutObjectAcl operation: The specified key does not exist.
而如果我在單個文件上執行該命令,則該命令會成功。
我怎樣才能使它適用於一個完整的文件夾?
這只能通過使用管道來實現。 試試——
aws s3 ls s3://bucket/path/ --recursive | awk '{cmd="aws s3api put-object-acl --acl bucket-owner-full-control --bucket bucket --key "$4; system(cmd)}'
您需要為每個對象單獨運行該命令。
您可以使用以下方法縮短該過程:
aws s3 cp --acl bucket-owner-full-control --metadata Key=Value --profile <original_account_profile> s3://bucket/path s3://bucket/path
也就是說,您將文件復制到自身,但添加了向存儲桶所有者授予權限的 ACL。
如果您有子目錄,則添加--recursive
。
其他答案沒問題,但最快的方法是使用帶有選項--metadata-directive REPLACE
的aws s3 cp
命令,如下所示:
aws s3 cp --recursive --acl bucket-owner-full-control s3://bucket/folder s3://bucket/folder --metadata-directive REPLACE
這給出了介於 50Mib/s 和 80Mib/s 之間的速度。
John R 的評論中的答案,建議使用“虛擬”選項,例如--storage-class STANDARD
。 雖然這有效,但只給了我 5Mib/s 和 11mb/s 之間的復制速度。
嘗試此操作的靈感來自 AWS 關於該主題的支持文章: https : //aws.amazon.com/premiumsupport/knowledge-center/s3-object-change-anonymous-ownership/
注意:如果您的某些對象遇到“訪問被拒絕”,這可能是因為您將 AWS 憑證用於存儲桶擁有賬戶,而您需要對從中復制文件的賬戶使用憑證。
使用python遞歸設置權限
#!/usr/bin/env python
import boto3
import sys
client = boto3.client('s3')
BUCKET='enter-bucket-name'
def process_s3_objects(prefix):
"""Get a list of all keys in an S3 bucket."""
kwargs = {'Bucket': BUCKET, 'Prefix': prefix}
failures = []
while_true = True
while while_true:
resp = client.list_objects_v2(**kwargs)
for obj in resp['Contents']:
try:
print(obj['Key'])
set_acl(obj['Key'])
kwargs['ContinuationToken'] = resp['NextContinuationToken']
except KeyError:
while_true = False
except Exception:
failures.append(obj["Key"])
continue
print "failures :", failures
def set_acl(key):
client.put_object_acl(
GrantFullControl="id=%s" % get_account_canonical_id,
Bucket=BUCKET,
Key=key
)
def get_account_canonical_id():
return client.list_buckets()["Owner"]["ID"]
process_s3_objects(sys.argv[1])
這是我的powershell
唯一解決方案。
aws s3 ls s3://BUCKET/ --recursive | %{ "aws s3api put-object-acl --bucket BUCKET --key "+$_.ToString().substring(30)+" --acl bucket-owner-full-control" }
我使用這個 Linux Bash shell oneliner 遞歸地更改 ACL:
aws s3 ls s3://bucket --recursive | cut -c 32- | xargs -n 1 -d '\n' -- aws s3api put-object-acl --acl public-read --bucket bukcet --key
即使文件名包含 () 字符,它也能工作。
我在一個相當大的存儲桶中獲取日志對象的所有權時遇到了類似的問題。 對象總數 - 3,290,956 總大小 1.4 TB。
我能夠找到的解決方案對於這么多對象來說太慢了。 我最終編寫了一些代碼,這些代碼能夠比
aws s3 cp
您將需要安裝要求:
pip install pathos boto3 click
#!/usr/bin/env python3
import logging
import os
import sys
import boto3
import botocore
import click
from time import time
from botocore.config import Config
from pathos.pools import ThreadPool as Pool
logger = logging.getLogger(__name__)
streamformater = logging.Formatter("[*] %(levelname)s: %(asctime)s: %(message)s")
logstreamhandler = logging.StreamHandler()
logstreamhandler.setFormatter(streamformater)
def _set_log_level(ctx, param, value):
if value:
ctx.ensure_object(dict)
ctx.obj["log_level"] = value
logger.setLevel(value)
if value <= 20:
logger.info(f"Logger set to {logging.getLevelName(logger.getEffectiveLevel())}")
return value
@click.group(chain=False)
@click.version_option(version='0.1.0')
@click.pass_context
def cli(ctx):
"""
Take object ownership of S3 bucket objects.
"""
ctx.ensure_object(dict)
ctx.obj["aws_config"] = Config(
retries={
'max_attempts': 10,
'mode': 'standard'
}
)
@cli.command("own")
@click.argument("bucket", type=click.STRING)
@click.argument("prefix", type=click.STRING, default="/")
@click.option("--profile", type=click.STRING, default="default", envvar="AWS_DEFAULT_PROFILE", help="Configuration profile from ~/.aws/{credentials,config}")
@click.option("--region", type=click.STRING, default="us-east-1", envvar="AWS_DEFAULT_REGION", help="AWS region")
@click.option("--threads", "-t", type=click.INT, default=40, help="Threads to use")
@click.option("--loglevel", "log_level", hidden=True, flag_value=logging.INFO, callback=_set_log_level, expose_value=False, is_eager=True, default=True)
@click.option("--verbose", "-v", "log_level", flag_value=logging.DEBUG, callback=_set_log_level, expose_value=False, is_eager=True, help="Increase log_level")
@click.pass_context
def command_own(ctx, *args, **kwargs):
ctx.obj.update(kwargs)
profile_name = ctx.obj.get("profile")
region = ctx.obj.get("region")
bucket = ctx.obj.get("bucket")
prefix = ctx.obj.get("prefix").lstrip("/")
threads = ctx.obj.get("threads")
pool = Pool(nodes=threads)
logger.addHandler(logstreamhandler)
logger.info(f"Getting ownership of all objects in s3://{bucket}/{prefix}")
start = time()
try:
SESSION: boto3.Session = boto3.session.Session(profile_name=profile_name)
except botocore.exceptions.ProfileNotFound as e:
logger.warning(f"Profile {profile_name} was not found.")
logger.warning(f"Falling back to environment variables for AWS_ACCESS_KEY_ID, AWS_SECRET_ACCESS_KEY and AWS_SESSION_TOKEN")
AWS_ACCESS_KEY_ID = os.environ.get("AWS_ACCESS_KEY_ID", "")
AWS_SECRET_ACCESS_KEY = os.environ.get("AWS_SECRET_ACCESS_KEY", "")
AWS_SESSION_TOKEN = os.environ.get("AWS_SESSION_TOKEN", "")
if AWS_ACCESS_KEY_ID and AWS_SECRET_ACCESS_KEY:
if AWS_SESSION_TOKEN:
SESSION: boto3.Session = boto3.session.Session(aws_access_key_id=AWS_ACCESS_KEY_ID, aws_secret_access_key=AWS_SECRET_ACCESS_KEY,
aws_session_token=AWS_SESSION_TOKEN)
else:
SESSION: boto3.Session = boto3.session.Session(aws_access_key_id=AWS_ACCESS_KEY_ID, aws_secret_access_key=AWS_SECRET_ACCESS_KEY)
else:
logger.error("Unable to find AWS credentials.")
sys.exit(1)
s3c = SESSION.client('s3', config=ctx.obj["aws_config"])
def bucket_keys(Bucket, Prefix='', StartAfter='', Delimiter='/'):
Prefix = Prefix[1:] if Prefix.startswith(Delimiter) else Prefix
if not StartAfter:
del StartAfter
if Prefix.endswith(Delimiter):
StartAfter = Prefix
del Delimiter
for page in s3c.get_paginator('list_objects_v2').paginate(Bucket=Bucket, Prefix=Prefix):
for content in page.get('Contents', ()):
yield content['Key']
def worker(key):
logger.info(f"Processing: {key}")
s3c.copy_object(Bucket=bucket, Key=key,
CopySource={'Bucket': bucket, 'Key': key},
ACL='bucket-owner-full-control',
StorageClass="STANDARD"
)
object_keys = bucket_keys(bucket, prefix)
pool.map(worker, object_keys)
end = time()
logger.info(f"Completed for {end - start:.2f} seconds.")
if __name__ == '__main__':
cli()
用法:
get_object_ownership.py own -v my-big-aws-logs-bucket /prefix
上面提到的存儲桶使用 40 個線程處理了大約 7 個小時。
[*] 信息:2021-08-05 19:53:55,542:已完成 25320.45 秒。
在同一數據子集上使用 AWS cli 與此工具進行更多速度比較:
aws s3 cp --recursive --acl bucket-owner-full-control --metadata-directive 53.59s 用戶 7.24s 系統 20% cpu 5:02.42 總計
對比
[*] 信息:2021-08-06 09:07:43,506:完成 49.09 秒。
這樣python代碼效率更高,否則需要更長的時間。
import boto3
import sys
client = boto3.client('s3')
BUCKET='mybucket'
def process_s3_objects(prefix):
"""Get a list of all keys in an S3 bucket."""
kwargs = {'Bucket': BUCKET, 'Prefix': prefix}
failures = []
while_true = True
while while_true:
resp = client.list_objects_v2(**kwargs)
for obj in resp['Contents']:
try:
set_acl(obj['Key'])
except KeyError:
while_true = False
except Exception:
failures.append(obj["Key"])
continue
kwargs['ContinuationToken'] = resp['NextContinuationToken']
print ("failures :"+ failures)
def set_acl(key):
print(key)
client.put_object_acl(
ACL='bucket-owner-full-control',
Bucket=BUCKET,
Key=key
)
def get_account_canonical_id():
return client.list_buckets()["Owner"]["ID"]
process_s3_objects(sys.argv[1])
aws s3api put-object-acl --bucket bucketname_example_3636 --key bigdirectories2_noglacier/bkpy_workspace_sda4.tar --acl bucket-owner-full-control
aws s3 ls s3://bucketname_example_3636 --recursive > listfile.txt
sed 's/^(.*)$/aws s3api put-object-acl --bucket bucketname_example_3636 --key \\1 --acl bucket-owner-full-control/g' listfile.txt > listfile_v2.txt;
sed '1 i\\#!/bin/bash' listfile_v2.txt > listfile_v3.txt;
cp listfile_v3.txt listfile_v3.sh;
chmod u+x listfile_v3.sh;
listfile_v3.sh;
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