![]() The account Admin role can access the S3 folder credentials from the Account settings page. You can find the details for the S3 bucket and the credentials in the Account Settings > API keys tab. Note: You must set up CORS configuration if you want to fetch data out of your S3 bucket for file imports. If you don't want to use the S3 bucket provided by Blueshift and want to set up your own Amazon S3 bucket, you must first set up integration with Amazon S3. You can import this data for your own custom workflows or data warehouse applications. After completing multipart upload we close the FTP connection.Blueshift uses Amazon S3 buckets to store data, reports ( campaign activity, segment, template), audit trail logs, and so on. It also takes the upload id from multipart dict returned after initiating multipart upload. ![]() This parts_info dict will be used by complete_multipart_upload() to complete the transfer. The python dict parts_info has key ‘Parts’ and value is a list of python dict parts. ![]() The chunk transfer will be carried out by `transfer_chunk_from_ftp_to_s3()` function, which will return the python dict containing information about the uploaded part called parts. create_multipart_upload() will initiate the process. We use the multipart upload facility provided by the boto3 library. We iterate over for loops for all the chunks to read data in chunks from FTP and upload it to S3. Remember, AWS won’t allow any chunk size to be less than 5MB, except the last part. We will transfer the file in chunks! This is where the real fun begins…įirst, we count the number of chunks we need to transfer based on the file size.
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