This Python script helps you count the number of files in an Amazon S3 bucket that are smaller than or equal to a specified size. The script uses the AWS SDK for Python, Boto3, to interact with AWS S3.
To run this script, you need:
- Python 3.x installed on your machine.
- Boto3 library installed. You can install it using
pip install boto3. - AWS CLI configured with appropriate AWS credentials and permissions to access the S3 service.
The script performs the following steps:
-
Initialize a Client: It initializes a client for the S3 service using Boto3. This client allows the script to interact with your S3 buckets.
-
Bucket Name and Size Threshold: The script takes two command-line arguments:
- The name of the S3 bucket you want to analyze.
- The maximum file size (in bytes) for counting. Files smaller than or equal to this size will be counted.
-
Pagination Handling: Since a bucket can contain a large number of files, the script uses pagination to manage large lists of objects efficiently. It fetches lists of objects in the bucket in manageable batches.
-
Counting Files: The script iterates over each batch of objects. If an object's size is less than or equal to the specified maximum size, it increments the count.
-
Error Handling: If there's an issue accessing the bucket or listing its contents (e.g., due to permissions issues), the script catches the error and prints an error message.
-
Output: Finally, the script prints the count of files that are smaller than or equal to the specified size.
To use this script, navigate to the directory containing the script in your command line interface and run:
python s3_small_file_counter.py <bucket_name> <max_file_size_in_bytes>