Question 1

s3-multipart vs AWS CLI for uploading large files?

Accepted Answer

s3-multipart can be faster for very large files due to its parallel processing, but AWS CLI is more feature-rich, supports resume, and is actively maintained. Use s3-multipart if you prioritize raw speed for batch transfers and can handle older dependencies.

Question 2

How to configure s3-multipart for optimal performance?

Accepted Answer

Use the -np or -n flags to set the number of processes, starting with your CPU core count, and adjust the split size with -s based on file size and network bandwidth to balance parallelism and overhead.

Question 3

Does s3-multipart support resuming failed downloads?

Accepted Answer

No, the README does not mention resume functionality. For interrupted transfers, you may need to restart from scratch or implement custom retry logic in scripts, as it lacks built-in recovery features.

Question 4

Is s3-multipart still maintained in 2024?

Accepted Answer

Likely not, as the copyright date is 2012 and it depends on the older Boto library. Check the GitHub repository for updates, but it may not have recent changes for modern AWS services.

Question 5

How to use s3-multipart in a Python script?

Accepted Answer

You can call the CLI tools via subprocess in Python, but there's no direct Python API. Ensure Python and Boto are installed, then use commands like ./s3-mp-upload.py with appropriate arguments in your script.

Question 6

What are the limits on file size for s3-multipart?

Accepted Answer

It uses S3's multipart upload, which supports files up to 5TB per part. The split size is configurable, but very large chunks might reduce parallelism, so tune based on your infrastructure.

s3-multipart

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