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AWS Lambda Timing Out When Accessing DynamoDB with Python SDK

👀 Views: 93 đŸ’Ŧ Answers: 1 📅 Created: 2025-06-16
aws lambda dynamodb api-gateway Python

I've tried everything I can think of but I tried several approaches but none seem to work. This might be a silly question, but I've looked through the documentation and I'm still confused about I'm working with a timeout scenario with my AWS Lambda function that accesses a DynamoDB table... The Lambda function is configured with a timeout of 10 seconds, and it consistently exceeds this limit, resulting in a `Task timed out after 6.00 seconds` behavior. My Lambda function is triggered by an API Gateway and is supposed to read an item from DynamoDB based on the incoming request. Here's a snippet of the code I'm using: ```python import boto3 import json def lambda_handler(event, context): dynamodb = boto3.resource('dynamodb') table = dynamodb.Table('MyDynamoDBTable') item_id = event['pathParameters']['id'] try: response = table.get_item(Key={'id': item_id}) return { 'statusCode': 200, 'body': json.dumps(response.get('Item', {})) } except Exception as e: return { 'statusCode': 500, 'body': json.dumps({'behavior': str(e)}) } ``` I have verified that the Lambda function has the necessary IAM permissions to access the DynamoDB table, and I can query the table directly using the AWS CLI without any issues. However, the Lambda execution consistently runs long enough to time out, especially for requests that involve fetching larger items. I've tried increasing the timeout setting of the Lambda function to 15 seconds, but it still times out on certain requests. I also checked the provisioned throughput for the DynamoDB table to ensure I'm not hitting any read capacity limits, which seems fine. Additionally, I noticed that in the AWS CloudWatch logs, the invocation takes around 5-7 seconds every time it fails. Any insights on optimizing the Lambda function for better performance or potential issues with the current setup would be greatly appreciated. For context: I'm using Python on Linux. Any ideas what could be causing this? Any pointers in the right direction? My development environment is macOS. Any advice would be much appreciated.