AWS Lambda provides a writable ephemeral storage space located at /tmp . This is the best approach if you need to pass the file to an external library (like pandas or an image processor) that requires a file path.
import boto3 import os def lambda_handler(event, context): s3 = boto3.client('s3') bucket_name = 'my-cool-bucket' file_key = 'data/report.pdf' download_path = '/tmp/report.pdf' try: s3.download_file(bucket_name, file_key, download_path) print(f"File downloaded to {download_path}") # Process your file here... except Exception as e: print(f"Error: {e}") Use code with caution. Method 2: Reading Directly into Memory lambda download s3 file
Before you start coding, ensure your Lambda function has the correct . Your execution role needs the s3:GetObject permission for the specific bucket or file you’re targeting. Method 1: Downloading to the /tmp Directory AWS Lambda provides a writable ephemeral storage space
AWS Lambda provides a writable ephemeral storage space located at /tmp . This is the best approach if you need to pass the file to an external library (like pandas or an image processor) that requires a file path.
import boto3 import os def lambda_handler(event, context): s3 = boto3.client('s3') bucket_name = 'my-cool-bucket' file_key = 'data/report.pdf' download_path = '/tmp/report.pdf' try: s3.download_file(bucket_name, file_key, download_path) print(f"File downloaded to {download_path}") # Process your file here... except Exception as e: print(f"Error: {e}") Use code with caution. Method 2: Reading Directly into Memory
Before you start coding, ensure your Lambda function has the correct . Your execution role needs the s3:GetObject permission for the specific bucket or file you’re targeting. Method 1: Downloading to the /tmp Directory