I'm invoking a lambda function with boto3, with:
import boto3
import json
client = boto3.client('lambda')
response = client.invoke(
InvocationType='RequestResponse',
FunctionName=test_lambda_arn,
LogType='Tail',
Payload=json.dumps(data)
)
It's raising a botocore.vendored.requests.exceptions.ReadTimeout
exception after 626 seconds. I have configured this lambda to time out after 100 seconds. I did so when I created it with boto. When I go into the AWS console it says that this lambda has a timeout of 1 minute and 40 seconds.
So why does the invoke
command timeout after 626 seconds, and not after 100 seconds?
Is it because of retries? If so, how can I disable retries?
Edit: In the CloudWatch logs I can see multiple invocations for each client.invoke
call. Therefore there is some automatic retry thing happening. Here are the docs for client.invoke
.
Create a botocore config object with a longer read_timeout
value (and possibly other things), and pass it in when creating your lambda client:
import botocore
import boto3
cfg = botocore.config.Config(retries={'max_attempts': 0}, read_timeout=840, connect_timeout=600, region_name="us-east-1" )
client = boto3.client(
'lambda', config=cfg, region_name="us-east-1",
aws_access_key_id="*********", aws_secret_access_key="*********")
payload = {"input_array": input_arr}
result = client.invoke(
FunctionName="**********", InvocationType='RequestResponse',
LogType='Tail', Payload=json.dumps(payload,cls=NumpyArrayEncoder))
range = result['Payload'].read()
range_json = json.loads(range)