Rewrite a query to list only objects of a specific storage class in an S3 bucket using boto3

What will you learn?

Discover how to filter and list objects of a particular storage class in an Amazon S3 bucket using the powerful boto3 library in Python.

Introduction to the Problem and Solution

When dealing with substantial datasets stored in Amazon S3 buckets, it becomes essential to segregate and display objects based on their storage classes. By harnessing the capabilities of the boto3 library, we can seamlessly interact with AWS services programmatically. This tutorial focuses on demonstrating how to retrieve a curated list of objects belonging to a specific storage class within an S3 bucket.

To accomplish this task effectively, we will leverage the functionalities offered by the boto3 library in Python. By utilizing its S3 client functions, we can precisely query for objects based on their storage classes and present this refined information back to the user.


import boto3

# Create an S3 client
s3 = boto3.client('s3')

# Specify the bucket name
bucket_name = 'your_bucket_name'

# Specify the desired storage class you want to filter by (e.g., 'STANDARD', 'INTELLIGENT_TIERING')
storage_class = 'STANDARD'

# List objects with specified storage class from the bucket
response = s3.list_objects_v2(Bucket=bucket_name, 

for obj in response.get('Contents', []):

# Copyright PHD

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In this solution: – We import the boto library which facilitates interactions with AWS services. – We initialize an S4 client object enabling communication with Amazon S4 service. – We define our target bucket’s name and specify the desired storage class. – The list_objects_v2 method is called on our client object while passing essential parameters like Bucket name and StorageClass. – Finally, we iterate over retrieved objects’ metadata displaying their keys or performing additional actions as necessary.

    How do I install boto 2?

    To install boto 2, use pip: pip install boto.

    Can I use other programming languages besides Python for interacting with AWS services?

    Yes, AWS offers SDKs for various languages such as Java, Ruby, Node.js, etc.

    Is there any cost associated with using Boto or interacting with AWS services programmatically?

    Costs may be incurred depending on your usage. Refer to AWS pricing documentation for specifics.

    Can I retrieve more metadata about listed objects besides their keys?

    Certainly! You can tailor your request payloads when calling methods like list_objects_v2.

    How do I handle errors that may occur during interactions with AWS services?

    Implement proper error handling mechanisms like try-except blocks when making API calls.

    Are there any best practices for optimizing performance when working with large datasets on Amazon S4 buckets?

    Consider features like pagination when dealing with extensive result lists returned by API calls.

    Can I filter objects based on multiple criteria simultaneously using Boto?

    Absolutely! Combine different filters like Prefixes alongwith StorageClasses while querying data from your buckets.

    Is it possible to parallelize requests made through Boto library for faster processing times?

    Indeed! Utilize concepts such as threading or asynchronous programming libraries for concurrent task execution where applicable.


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