serverless-layers: AWS Error: Function code combined with layers exceeds the maximum allowed size of 262144000 bytes

Issue

Just dropping this down somewhere to note / for people with this problem. Not sure if it’s a bug or expected behaviour.

I tried to introduce serverless-layers to my existing project and got:

An error occurred: *** - Function code combined with layers exceeds the maximum allowed size of 262144000 bytes

The zip of the code was now only 40kb and the layer 40mb (150mb decompressed). However the previous bundle code size was pretty large and I think CloudFormation was trying to first apply the layer to the function before updating the function code which resulted in the error above.

Workaround

I deleted the stack and re-created it. An alternative (although not tested) update the code to something with no imports deploy. Once successful try and add layers to the project.

About this issue

Original URL
State: open
Created 4 years ago
Reactions: 21
Comments: 19 (1 by maintainers)

Most upvoted comments

@ptimson I found a different workaround that might be slightly better, but still requires downtime of the service. I commented out following lines after each function:

layers: 
  - {Ref: PythonRequirementsLambdaLayer}

for all of my functions. This was my one change and I deployed like this once. Once that deployed successfully I added those lines back and was able to deploy again.

joelash on Mar 23, 2021

+1

Solution that worked for me: - Remove/Comment lambda layer refs in function declaration - Deploy - Add/Uncomment lambda layer refs in function declaration

It’s sad that this still appears to be the only solution. Makes creating new deployments a much more complicated ordeal now that you need to choreograph new layer uploads and function references as two distinct steps.

GeorgeKaraszi on Oct 23, 2023

Same, this worked for chalice too! ❤️

spookyuser on Oct 2, 2023

Solution that worked for me:

Remove/Comment lambda layer refs in function declaration

Deploy

Add/Uncomment lambda layer refs in function declaration

Just wanted to say Thank You as this solved my problem today as well.

jleven on Jul 13, 2023

+1

Solution that worked for me: - Remove/Comment lambda layer refs in function declaration - Deploy - Add/Uncomment lambda layer refs in function declaration

Thank you – this worked for me, too.

pgib on May 3, 2023

Hi @joelash, I’m got some time to investigate this issue as well, still not 100% sure yet why happening. But I reckon you guys could try using --no-compile to avoid generating *.pyc files. It would reduce considerably the layer size.

custom:
  serverless-layers:
    dependenciesPath: requirements.txt
    packageManagerExtraArgs: '--no-compile --no-color'
    compatibleRuntimes: ["python3.8"]

agutoli on Jun 24, 2022