I'm trying to write a simple lambda function to use as a view for an application that has parquet data living in an S3 bucket. I'm just trying to test out a simple function here: import json import time t = time.time() print('This ') import os import urllib.parse import boto3 import pandas as pd import awswrangler as wr print('Imports complete: ', time.time() - t) s3 = boto3.client('s3') def lambda_handler(event, context): bucket = os.environ['S3_BUCKET'] try: print('wrangling df') df = wr.s3.read_parquet(bucket, dataset=True) print('df loaded: ',time.time() - t) response = df.to_json() print('response type: ', type(response)) print('df to json: ',time.time() - t) return response except Exception as e: print('exception caught: ',time.time() - t) print(e) print('Error getting object from bucket {}. Make sure they exist and your bucket is in the same region as this function.'.format(bucket)) raise e I'm using the managed python layer on us-west-2: arn:aws:lambda:eu-west-2:336392948345:layer:AWSSDKPandas-Python312:13 This is the output with a 60s timeout configured: Test Event Name (unsaved) test event Response { "errorType": "Sandbox.Timedout", "errorMessage": "RequestId: 24b0f94f-a78e-40e4-9573-0e49ac3eeef3 Error: Task timed out after 60.00 seconds" } Function Logs This Imports complete: 4.597054481506348 START RequestId: 24b0f94f-a78e-40e4-9573-0e49ac3eeef3 Version: $LATEST wrangling df df loaded: 10.094886779785156 response type: <class 'str'> df to json: 10.67463231086731 END RequestId: 24b0f94f-a78e-40e4-9573-0e49ac3eeef3 REPORT RequestId: 24b0f94f-a78e-40e4-9573-0e49ac3eeef3 Duration: 60000.00 ms Billed Duration: 60000 ms Memory Size: 128 MB Max Memory Used: 126 MB Init Duration: 4874.63 ms Status: timeout Request ID 24b0f94f-a78e-40e4-9573-0e49ac3 So it looks like the function is just hanging at the return statement when I test it. Oddly if I replace return response with return 'some text' it returns right after finishing. Why would a string several kbs long change the return time by 50+ s? Continue reading...