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AWS Lambda Function Timing Out When Accessing DynamoDB with Boto3 in Python

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aws lambda dynamodb boto3 Python

I've been banging my head against this for hours... This might be a silly question, but I'm experiencing a timeout scenario with my AWS Lambda function that accesses a DynamoDB table. The function is set to have a timeout of 30 seconds, but it seems to time out frequently after about 10 seconds when trying to retrieve a batch of items from the table using Boto3. Here’s the relevant snippet of my code: ```python import boto3 import json def lambda_handler(event, context): dynamodb = boto3.resource('dynamodb') table = dynamodb.Table('MyTable') try: response = table.scan(Limit=100) items = response['Items'] print(json.dumps(items)) except Exception as e: print(f'behavior accessing DynamoDB: {e}') raise e ``` I added logging to check how long each part of the function takes and found that the `table.scan()` call is the culprit. I’ve also ensured that my function has the necessary IAM permissions to access DynamoDB, and yet I keep running into this timeout scenario. I tried increasing the timeout to 60 seconds, but it still times out before completing the scan. Additionally, the DynamoDB table has only about 10,000 items, which shouldn't be a huge load for a scan operation. I've considered that the scan might be hitting limits due to the eventual consistency model of DynamoDB, but I'm not sure how to handle that appropriately. Could this be an scenario with how the Lambda function is configured or are there best practices for scanning a DynamoDB table in Lambda? Any insights would be greatly appreciated! Any ideas what could be causing this?