How to use Boto3 to paginate through security configuration present in AWS Glue

In this article, we will see how to paginate through security configuration present in AWS Glue using Boto3. AWS Glue security configurations define encryption settings for data at rest and in transit.

Problem Statement

Use boto3 library in Python to paginate through security configurations from AWS Glue Data Catalog that are created in your account.

Understanding Pagination Parameters

The pagination function accepts three optional parameters ?

• max_items − Total number of records to return. If available records exceed this limit, a NextToken is provided for resuming pagination.

• page_size − Size of each page in the paginated response.

• starting_token − Token from previous response to continue pagination from a specific point.

Implementation Steps

1. Step 1: Import required libraries including boto3 and exception handlers.

2. Step 2: Create an AWS session with proper region configuration.

3. Step 3: Initialize AWS Glue client from the session.

4. Step 4: Create a paginator object using get_security_configurations.

5. Step 5: Call paginate function with pagination configuration parameters.

6. Step 6: Handle exceptions appropriately.

Example Code

The following code demonstrates how to paginate through security configurations ?

import boto3
from botocore.exceptions import ClientError

def paginate_through_security_configuration(max_items=None, page_size=None, starting_token=None):
    session = boto3.session.Session()
    glue_client = session.client('glue')
    
    try:
        paginator = glue_client.get_paginator('get_security_configurations')
        response = paginator.paginate(
            PaginationConfig={
                'MaxItems': max_items,
                'PageSize': page_size,
                'StartingToken': starting_token
            }
        )
        return response
    except ClientError as e:
        raise Exception("boto3 client error in paginate_through_security_configuration: " + str(e))
    except Exception as e:
        raise Exception("Unexpected error in paginate_through_security_configuration: " + str(e))

# Example usage
response = paginate_through_security_configuration(max_items=2, page_size=5)
for page in response:
    print(page)

Output

{'SecurityConfigurations': [
    {
        'Name': 'test-sc', 
        'CreatedTimeStamp': datetime.datetime(2020, 9, 24, 1, 53, 21, 265000, tzinfo=tzlocal()), 
        'EncryptionConfiguration': {
            'S3Encryption': [{
                'S3EncryptionMode': 'SSE-KMS', 
                'KmsKeyArn': 'arn:aws:kms:us-east-1:*************:key/***************'
            }]
        }
    },
    {
        'Name': 'port-sc', 
        'CreatedTimeStamp': datetime.datetime(2020, 11, 6, 0, 38, 3, 753000, tzinfo=tzlocal()), 
        'EncryptionConfiguration': {
            'S3Encryption': [{
                'S3EncryptionMode': 'SSE-KMS', 
                'KmsKeyArn': 'arn:aws:kms:us-east-1:********:key/***************'
            }]
        }
    }
], 
'NextToken': '', 
'ResponseMetadata': {
    'RequestId': '**********', 
    'HTTPStatusCode': 200, 
    'HTTPHeaders': {
        'date': 'Fri, 02 Apr 2021 13:19:57 GMT', 
        'content-type': 'application/x-amz-json-1.1', 
        'content-length': '826', 
        'connection': 'keep-alive', 
        'x-amzn-requestid': '*********'
    }, 
    'RetryAttempts': 0
}
}

Key Points

• Use get_security_configurations paginator to handle large numbers of security configurations efficiently.

• The response includes security configuration details like encryption settings and creation timestamps.

• Always handle ClientError exceptions for AWS-specific errors and general exceptions for unexpected issues.

Conclusion

AWS Glue security configuration pagination using Boto3 helps manage large datasets efficiently. Use appropriate pagination parameters to control response size and handle exceptions properly for robust applications.