Account-A) to push files to destination account (Account-B). Basically when you use SSIS S3 Task for Copy operation it uses Source account (i.e. map((MapFunction) s -> String.format( "aws s3 cp %s s3://%s/%s", String.format( "s3://%s/%s", source, s), target, s), Encoders. Before we can copy from Account-A to Account-B we first have to Configure permissions in Account-B. You can use the Boto3 Session and py() method to copy files between S3 buckets. flatMap((FlatMapFunction) s -> Arrays.asList(s.split( "\n")).iterator(), Encoders.STRING()) It allows users to create, and manage AWS services such as EC2 and S3. We need to generate a text file containing object keys of the items inside the source s3 bucket (to be copied), is done by running this command on any EC2 instances: #Aws s3 copy between accounts codeFirst, we need to generate the record file (with object keys), then running a spark code to copy the files in parallel across nodes in multiple tasks. It's a 2 step process, which is a combination of shell script and spark code. This approach can be further optimized, so think as a first step to solve this problem. Unfortunately, none of those mentioned above approaches solved our problem, so we came up with this approach. S3-dist-cp seems to be promising but when I ran it against a bucket with had closer to 6 TB of data the job failed while running “reduce” task after 40 minutes without any clear indication of why it failed Custom approach: When I read more about this AWS docs it stated under “Specifying a Manifest” section → Manifests that use server-side encryption with customer-provided keys (SSE-C) and server-side encryption with AWS KMS managed keys (SSE-KMS) are not supported Unsupported encryption type used: SSE_KMS When I created a job to copy the contents of the bucket with KMS key encryption enabled got the following error: S3 batch operations seem to solve this problem, but at this point, it doesn’t support it on objects encrypted based on the KMS key. We tried a couple of other options mentioned in stack overflow and AWS forums like The only workaround we found is to run these aws commands in parallel in multiple terminals so they all can operate on different s3 partitions at the same time and perform copy faster, which is neither an elegant solution nor scalable. During execution, we noticed it took hours and hours to perform the copy.
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