In how to maintain consistency while uploading to AWS S3, We are talking about amazon web services storage service, popular by the name S3. We can upload file to it and retrieve it when ever required. It is also used by many big companies to serve their static files like CSS and JS.
How to maintain consistency while uploading to AWS S3
I am not going to tell you how to write code to upload or download. In this article what i am going to discuss is how to maintain consistency of the upload on AWS. For this purpose we are going to use the checksum.
What are checksum:
Checksum are some hash which is generated by passing the whole file through a function. If the content of the file is not changed the generated checksum will remain always the same.
So what we are going to do here is calculate the checksum in local and after uploading the file compare this checksum with the uploaded file. If it is equal we can say that the file is consistent and successfully uploaded on AWS S3.
import hashlib from boto.s3.connection import S3Connection, Key # Function to calculate the checksum of a local file def find_checksum(file_name): try: checksum = hashlib.md5(open(file_name).
read()).hexdigest() return checksum except Exception: return False def compare_checksum(file_name): aws_access_key = 'AWS_ACCESS_KEY' aws_secret_key = 'AWS_SECRET_KEY' s3_bucket = 'S3_ARCHIVE_BUCKET' conn = S3Connection(aws_access_key, aws_secret_key) try: bucket = conn.get_bucket(s3_bucket) s3_checksum = bucket.get_key(file_name).etag[1:-1] local_checksum = find_checksum(file_name) if s3_checksum == local_checksum: conn.close() return True else: conn.close() return False except Exception: conn.close() return False
There are two functions in the above code the first function find_checksum is the function which will calculate the checksum of the local file.
“sadadkjahkdhsalkjfh2uiry398649236br287r2” Now that we don’t want “ so we remove them to compare with below line
After comparing we can be sure the file is consistence or we can try to upload the file again. This is how to maintain consistency while uploading to AWS S3.
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