For example, I have this code:
import boto3 s3 = boto3.resource('s3') bucket = s3.Bucket('my-bucket-name') # Does it exist???
Boto3 resource doesn't provide any method directly to check if the key exists in the S3 bucket. Hence, you can load the S3 object using the load() method. If there is no exception thrown, then the key exists. If there is a client error thrown and the error code is 404 , then the key doesn't exist in the bucket.
1 Answer. Show activity on this post. IsFolderEmpty (Virtual Folder: S3 does not have folder) : Request for Prefix="Folder" and delimiter=null - Check if listResponse's S3 Object Count is zero thats means Folder having prefix is empty or file(s) having prefix does not exist.
Amazon Simple Storage Service (Amazon S3) is object storage commonly used for data analytics applications, machine learning, websites, and many more. To start programmatically working with Amazon S3, you must install the AWS Software Development Kit (SDK).
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:
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_bucket
repeatedly. 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:
bucket = s3.create_bucket(Bucket='my-bucket-name')
As always, be sure to check out the official documentation.
Note: Before the 0.0.7 release, meta
was a Python dictionary.
If you love us? You can donate to us via Paypal or buy me a coffee so we can maintain and grow! Thank you!
Donate Us With