AWS Lambda Timeout When Invoking DynamoDB Scan with Large Dataset
I'm converting an old project and I'm stuck trying to I'm stuck on something that should probably be simple. I'm experiencing a timeout scenario when my AWS Lambda function attempts to perform a scan on a large DynamoDB table. The table has over a million items and I am using the `boto3` library to interact with it. My function is set with a timeout of 30 seconds, but it seems to consistently time out when attempting to retrieve the full dataset. Here's a simplified version of my Lambda code: ```python import boto3 import json def lambda_handler(event, context): dynamodb = boto3.resource('dynamodb') table = dynamodb.Table('MyLargeTable') response = table.scan() items = response['Items'] while 'LastEvaluatedKey' in response: response = table.scan(ExclusiveStartKey=response['LastEvaluatedKey']) items.extend(response['Items']) return { 'statusCode': 200, 'body': json.dumps(items) } ``` I've tried adjusting the read capacity of the table, but that hasn't made a difference. I also considered using pagination with a smaller segment size, but I'm not sure how to effectively handle that within the Lambda context. Additionally, I'm aware that a full scan on such a large dataset can be inefficient but I need to retrieve all items at once for further processing. I am receiving the following behavior message in CloudWatch Logs: `Task timed out after 30.00 seconds`. Increasing the timeout is an option, but I want to ensure that I'm following best practices with DynamoDB. Any advice on how to optimize this scan or suggestions on handling large datasets in Lambda would be greatly appreciated! What am I doing wrong? I'm using Python LTS in this project.