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Скачать или смотреть Efficiently Uncompress tar.bz2 Files from S3 and Restore Them Back to S3 Using Python

  • vlogize
  • 2025-04-15
  • 1
Efficiently Uncompress tar.bz2 Files from S3 and Restore Them Back to S3 Using Python
Uncompress tar.bz2 from s3 and move the files back to s3 from Pyhonpythonamazon s3
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Описание к видео Efficiently Uncompress tar.bz2 Files from S3 and Restore Them Back to S3 Using Python

Discover how to efficiently decompress `tar.bz2` files stored in Amazon S3 and move the extracted files back to S3 using Python, without unnecessary local storage.
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This video is based on the question https://stackoverflow.com/q/73865267/ asked by the user 'Pavel Prochazka' ( https://stackoverflow.com/u/5970782/ ) and on the answer https://stackoverflow.com/a/73865636/ provided by the user 'blhsing' ( https://stackoverflow.com/u/6890912/ ) at 'Stack Overflow' website. Thanks to these great users and Stackexchange community for their contributions.

Visit these links for original content and any more details, such as alternate solutions, latest updates/developments on topic, comments, revision history etc. For example, the original title of the Question was: Uncompress tar.bz2 from s3 and move the files back to s3 from Pyhon

Also, Content (except music) licensed under CC BY-SA https://meta.stackexchange.com/help/l...
The original Question post is licensed under the 'CC BY-SA 4.0' ( https://creativecommons.org/licenses/... ) license, and the original Answer post is licensed under the 'CC BY-SA 4.0' ( https://creativecommons.org/licenses/... ) license.

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Streamlining the Process: Uncompressing tar.bz2 Files from S3

Managing files in the cloud often presents challenges, especially when working with compressed archives. In this guide, we’ll walk through the process of uncompressing a tar.bz2 file stored in Amazon S3 and efficiently moving the extracted files back to S3 without the need to rely on local storage.

Problem Statement

Imagine you have a bzip2 compressed tar archive file named x.tar.bz2 saved in an S3 bucket. Your task is to decompress this archive and return its contents back to another S3 location. The traditional method would involve downloading the file locally, uncompressing it, and then uploading the files back. However, this isn’t the most efficient use of resources, especially if you are dealing with large files or limited local storage.

Solution Overview

With suitable Python libraries, such as s3fs and tarfile, you can create a seamless workflow that handles this task directly from Amazon S3. Below, we'll provide you with a step-by-step solution that prevents unnecessary data storage on your local machine.

Step-by-Step Solution

Setting Up the Environment:

First, ensure you have the necessary libraries installed. You can do this using pip:

[[See Video to Reveal this Text or Code Snippet]]

Load the BZ2 File Directly from S3:

Instead of first reading the file to local storage, you can use the file-like object directly from S3. This allows you to work with the compressed file directly in memory.

Decompress and Extract Files:

You will use the tarfile module to open the tar archive and extract its contents.

Here's how the complete Python code looks:

[[See Video to Reveal this Text or Code Snippet]]

Explanation of the Code:

S3FileSystem: This acts as a bridge to interact seamlessly with your S3 bucket.

Open File: We first open the compressed file in binary mode ('rb').

Tarfile Handling: With tarfile.open, we pass the file-like object and specify the mode as r:bz2 for reading bzip2 compressed archives.

Entry Iteration: For each entry in the tar file, we create a new file in the desired destination on S3 and write in the extracted content there.

Conclusion

By leveraging the potential of s3fs alongside tarfile, you can effectively manage and manipulate tar.bz2 files stored on Amazon S3. This method not only avoids using local disk space but also accelerates your workflow by streamlining the decompression and storage processes to directly involve only cloud resources.

Now, you can efficiently uncompress and send data back to S3 without the bottleneck of local storage! If you have any further queries or need clarifications on this process, feel free to ask!

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