👀 Views: 1 💬 Answers: 1 📅 Created: 2025-06-06

aws lambda dynamodb boto3 python

I've searched everywhere and can't find a clear answer. Hey everyone, I'm running into an issue that's driving me crazy... I'm working with a timeout scenario with my AWS Lambda function that's supposed to read from DynamoDB using Boto3. The Lambda function is configured to have a timeout of 30 seconds, but it often fails with a timeout behavior, especially when processing larger datasets. I suspect that this might be due to the inefficiency of my code or how I'm handling the queries. Here’s the Lambda function code I’m currently using: ```python import json import boto3 def lambda_handler(event, context): dynamodb = boto3.resource('dynamodb') table = dynamodb.Table('MyTable') 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 have also tried to create an index for better query performance, but the scan operation still seems to be inefficient. I'm aware that scans can be slow and not optimal for large datasets, but I thought the Lambda function would handle this efficiently. I’ve attempted to implement pagination manually, but the function still times out intermittently. Am I doing something wrong with how I’m querying DynamoDB? Should I switch to using `query()` instead of `scan()`? Any tips on how to improve the performance to avoid this timeout scenario would be greatly appreciated! Any help would be greatly appreciated!