I hope this guide has been helpful in understanding and implementing this process. Although it requires a bit more work compared to a simple S3 download, the benefits are well worth the effort. Multi-part downloads from Amazon S3 can significantly improve the efficiency and reliability of transferring large files. Here’s a Python function that calculates the byte ranges for each part:ĭef merge_parts ( num_parts, output_file ): with open ( output_file, 'wb' ) as file : for i in range ( num_parts ): with open ( f 'part_', 'rb' ) as part_file : file. Note that the maximum allowed part size is 5 GB. We’ll use the head_object function to get the file size and then divide it by the desired part size.

Amazon S3 does not inherently support multi-part downloads, so we’ll manually split the file into parts. Let’s look at these steps in more detail: Splitting the File into Partsįirst, we need to determine the number of parts.

Merge the parts to reconstruct the file.

We’ll use boto3, the Amazon Web Services (AWS) SDK for Python, to implement multi-part downloads. You can install boto3 using pip: pip install boto3

An AWS account with access to Amazon S3.

Setting Up Your Environmentīefore we proceed with the steps, make sure you have the following prerequisites: If one part fails, you can simply retry that specific part instead of starting over.

This approach not only accelerates the data transfer but also provides more resilience to network issues. Amazon S3 supports multi-part uploads and downloads, where a large file is broken into smaller parts, and these parts can be uploaded or downloaded separately. What is a Multi-Part Download?įirst, let’s understand what a multi-part download is. This article will walk you through how to implement multi-part downloads from Amazon S3 for large files. Amazon S3, a popular cloud storage service, has a solution to this problem: multi-part downloads. | Miscellaneous How to Implement Multi-Part Downloads from Amazon S3 for Huge FilesĪs data scientists and software engineers, we often face the challenge of handling large datasets, which can be quite cumbersome when it comes to downloading and processing.

Downloading Disassembly