Python 如何轻松确定 Boto 3 S3 存储桶资源是否存在？
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How can I easily determine if a Boto 3 S3 bucket resource exists?
提问by Daniel
For example, I have this code:
例如，我有这个代码：
import boto3
s3 = boto3.resource('s3')
bucket = s3.Bucket('my-bucket-name')
# Does it exist???
采纳答案by Daniel
At the time of this writing there is no high-level way to quickly check whether a bucket exists and you have access to it, but you can make a low-level call to the HeadBucket operation. This is the most inexpensive way to do this check:
在撰写本文时，还没有高级方法来快速检查存储桶是否存在以及您是否有权访问它，但是您可以对 HeadBucket 操作进行低级调用。这是进行此检查的最便宜的方法：
from botocore.client import ClientError
try:
s3.meta.client.head_bucket(Bucket=bucket.name)
except ClientError:
# The bucket does not exist or you have no access.
Alternatively, you can also call create_bucketrepeatedly. The operation is idempotent, so it will either create or just return the existing bucket, which is useful if you are checking existence to know whether you should create the bucket:
或者，您也可以create_bucket重复呼叫。该操作是幂等的，因此它将创建或仅返回现有存储桶，如果您正在检查是否存在以了解是否应该创建存储桶，这将非常有用：
bucket = s3.create_bucket(Bucket='my-bucket-name')
As always, be sure to check out the official documentation.
与往常一样，请务必查看官方文档。
Note: Before the 0.0.7 release, metawas a Python dictionary.
注意：在 0.0.7 版本之前，meta是一个 Python 字典。
回答by helloV
As mentioned by @Daniel, the best way as suggested by Boto3 docs is to use head_bucket()
正如@Daniel 所提到的，Boto3 文档建议的最佳方法是使用head_bucket()
head_bucket()- This operation is useful to determine if a bucket exists and you have permission to access it.
head_bucket()- 此操作可用于确定存储桶是否存在以及您是否有权访问它。
If you have a small number of buckets, you can use the following:
如果您的存储桶数量较少，则可以使用以下方法：
>>> import boto3
>>> s3 = boto3.resource('s3')
>>> s3.Bucket('Hello') in s3.buckets.all()
False
>>> s3.Bucket('some-docs') in s3.buckets.all()
True
>>>
回答by vim
you can use conn.get_bucket
你可以使用 conn.get_bucket
from boto.s3.connection import S3Connection
from boto.exception import S3ResponseError
conn = S3Connection(aws_access_key, aws_secret_key)
try:
bucket = conn.get_bucket(unique_bucket_name, validate=True)
except S3ResponseError:
bucket = conn.create_bucket(unique_bucket_name)
quoting the documentation at http://boto.readthedocs.org/en/latest/s3_tut.html
引用http://boto.readthedocs.org/en/latest/s3_tut.html 上的文档
As of Boto v2.25.0, this now performs a HEAD request (less expensive but worse error messages).
从 Boto v2.25.0 开始，现在执行 HEAD 请求（成本更低但错误消息更糟）。
回答by Jacob Oommen
Use lookup Function -> Returns None if bucket Exist
使用查找函数 -> 如果桶存在则返回 None
if s3.lookup(bucketName) is None:
bucket=s3.create_bucket(bucketName) # Bucket Don't Exist
else:
bucket = s3.get_bucket(bucketName) #Bucket Exist
回答by mondnom
I tried Daniel'sexample and it was really helpful. Followed up the boto3 documentation and here is my clean test code. I have added a check for '403' error when buckets are private and return a 'Forbidden!' error.
我尝试了丹尼尔的例子，它真的很有帮助。跟进 boto3 文档，这是我的干净测试代码。当存储桶是私有的并返回“禁止！”时，我添加了对“403”错误的检查。错误。
import boto3, botocore
s3 = boto3.resource('s3')
bucket_name = 'some-private-bucket'
#bucket_name = 'bucket-to-check'
bucket = s3.Bucket(bucket_name)
def check_bucket(bucket):
try:
s3.meta.client.head_bucket(Bucket=bucket_name)
print("Bucket Exists!")
return True
except botocore.exceptions.ClientError as e:
# If a client error is thrown, then check that it was a 404 error.
# If it was a 404 error, then the bucket does not exist.
error_code = int(e.response['Error']['Code'])
if error_code == 403:
print("Private Bucket. Forbidden Access!")
return True
elif error_code == 404:
print("Bucket Does Not Exist!")
return False
check_bucket(bucket)
Hope this helps some new into boto3 like me.
希望这可以帮助像我这样的新手进入 boto3。
回答by href_
I've had success with this:
我在这方面取得了成功：
import boto3
s3 = boto3.resource('s3')
bucket = s3.Bucket('my-bucket-name')
if bucket.creation_date:
print("The bucket exists")
else:
print("The bucket does not exist")
