Use an official public layer to reduce code package sizes and reuse code - Function Compute

Function Compute provides commonly used public layers. You can use the official public layers for functions without the need to configure your own layers. This topic describes how to configure an official public layer for a function.

Common layers in Function Compute

This section lists the official public layers that are supported by Function Compute. If you cannot find the layer that you want to use, contact us.

Note

The following section lists only some commonly used public layers. For more information about the public layers that Function Compute supports, see Public layers.

Custom runtimes

The table in this section lists layers that are compatible with specific custom runtimes, such as Python 3.10 and Node.js 17. In the table, collections of some dependency libraries are included. For example, the public layer Python310-Package-Collection includes commonly used Python dependency libraries.

Public layer	Compatible runtime	Description	References
PHP81-Debian10	Custom.Debian10	PHP 8.1 Debian 10 runtime layer	README.md
PHP80-Debian10	Custom.Debian10	PHP 8.0 Debian 10 runtime layer	README.md
Nginx	Custom.Debian10	Nginx Debian 10 runtime layer	README.md
Python310	Custom Custom.Debian10	Python 3.10.5 runtime layer	README.md
Python310-Package-Collection	Custom Custom.Debian10	A collection of common dependency libraries for the Python 3.10 runtime	README.md
Python39	Custom Custom.Debian10	Python 3.9.13 runtime layer	README.md
Python39-Package-Collection	Custom Custom.Debian10	A collection of common dependency libraries for the Python 3.9 runtime	README.md
Python38	Custom Custom.Debian10	Python 3.8.13 runtime layer	README.md
Python38-Package-Collection	Custom Custom.Debian10	A collection of common dependency libraries for the Python 3.8.13 runtime	README.md
Python36	Custom	Python 3.6.15 runtime layer	README.md
Python36-Package-Collection	Custom	A collection of common dependency libraries for the Python 3.6.15 runtime	README.md
Dotnet6	Custom Custom.Debian10	ASP.NET 6.0.5 runtime layer	README.md
PHP72	Custom	PHP 7.2 runtime layer	README.md
Java8	Custom.Debian10	Java 8 runtime layer	README.md
Java11	Custom Custom.Debian10	Java 11 runtime layer	README.md
Java17	Custom Custom.Debian10	Java 17 runtime layer	README.md
Java21	Custom.Debian10	Java 21 runtime layer	README.md
Nodejs20	Custom.Debian10	Node.js 20 runtime layer	README.md
Nodejs18	Custom.Debian10	Node.js 18 runtime layer	README.md
Nodejs17	Custom	Node.js 17 runtime layer	README.md
Nodejs16	Custom Custom.Debian10	Node.js 16 runtime layer	README.md
Nodejs14	Custom	Node.js 14 runtime layer	README.md
Nodejs12	Custom	Node.js 12 runtime layer	README.md
Go1	Custom.Debian10	Go 1 runtime layer	README.md
Go118	Custom	Go 1.x runtime layer	README.md

Common dependency libraries

Public layer	Compatible runtime	Description	Core library version	References
Python310-OSS2	Python 3.10 Custom.Debian10	oss2: OSS SDK for Python	-	README.md
Python39-OSS2	Python 3.9 Custom.Debian10	oss2: OSS SDK for Python	-	README.md
Python310-TensorFlow2x	Python 3.10 Custom.Debian10	An open source machine learning framework (CPU edition)	tensorflow==2.15.0.post1	README.md
Python3x-PyMongo4x	Python 3.10 Custom.Debian10	An open source scientific computing library	PyMongo==4.6.1	README.md
Python3x-Pandas2x	Python 3.9 Custom Custom.Debian10	An open source data analysis and processing tool based on NumPy	pandas==2.2.1 numpy==1.23.2	README.md
Python310-PyTorch2x	Python 3.10 Custom.Debian10	An open source machine learning framework (CPU edition)	torch==1.10.2+cpu torchaudio==0.10.2+cpu torchvision==0.11.3+cpu	README.md
Python39-Pandas1x	Python 3.9 Custom Custom.Debian10	An open source data analysis and processing tool based on NumPy	pandas==1.4.3 numpy==1.23.2	README.md
Python39-SciPy1x	Python 3.9 Custom	An open source scientific computing library	scipy==1.9.0 numpy==1.23.2	README.md
Python36-SciPy1x	Python 3.6 Custom	An open source scientific computing library	scipy-1.5.4 numpy-1.19.5	README.md
Python39-PyTorch1x	Python 3.9 Custom Custom.Debian10	An open source machine learning framework (CPU edition)	torch==1.12.1+cpu torchaudio==0.12.1+cpu torchvision==0.13.1+cpu	README.md
Python36-PyTorch1x	Python 3.6 Custom	An open source machine learning framework (CPU edition)	torch==1.10.2+cpu torchaudio==0.10.2+cpu torchvision==0.11.3+cpu	README.md
Python3-Flask2x	Python 3.9 Python 3.10 Custom Custom.Debian10	A Python-based lightweight web framework	v2.2.2	README.md
Nodejs-Puppeteer17x	Node.js 16 Node.js 14 Custom Custom.Debian10	A Headless Chrome tool	puppeteer-v17.1.0	README.md
Nodejs-Puppeteer10x	Node.js 14 Node.js 12 Node.js 10 Custom	A Headless Chrome tool	puppeteer-v10.2.0	README.md
Python310-Opencv4x	Python 3.10 Custom.Debian10	A cross-platform library for computer vision	v4.7.0.68	README.md
SQLite3	Python 3.9 Node.js 16 Node.js 14 Java 11 Java 8 Custom	A lightweight and in-process relational database	3.41.1	README.md
FFmpeg6x	Python 3.10 Python 3.9 Node.js 16 Node.js 14 Java 11 Java 8 Custom Custom.Debian10	An open source software project that consists of a set of programs used to record audio and videos, convert audio and video formats, and stream audio and video files	6.0	README.md
Nodejs-Puppeteer19x	Custom.Debian10	A Headless Chrome tool	puppeteer-v19.8.5	README.md
Python38-Playwright	Custom.Debian10	puppeteer-v19.8.5	1.31.1	README.md
Poppler22x-Pdf2image	Python 3.10	A library for rendering PDF documents	22.12.0	README.md
ServerlessDevs	Python 3.10 Python 3.9 Python 3 Node.js 16 Node.js 14 Java 11 Java 8 Go 1 .NetCore 3.1 PHP 7.2 Custom Custom.Debian10	An open source serverless platform that provides a robust set of tools for developers	2.1.14	README.md

Web framework

Public layer	Compatible runtime	Core library version	References
Python3-Flask2x	Python 3.9 Custom	flask-2.2.2	README.md

Alibaba Cloud SDKs

Public layer	Compatible runtime	Description	References
Python310-Aliyun-SDK	Python 3.10 Custom.Debian10	Common Alibaba Cloud SDKs for Python 3.10	README.md
Aliyun-DataX	Python 2.7 Python 3 Python 3.6 Python 3.9 Custom Custom.Debian10	Open source edition of Alibaba Cloud DataWorks Data Integration	README.md
Python39-Aliyun-SDK	Python 3.9 Custom	Common Alibaba Cloud SDKs for Python 3.9	README.md
Python36-Aliyun-SDK	Python 3.6 Custom	Common Alibaba Cloud SDKs for Python 3.6	README.md
Nodejs-Aliyun-SDK	Node.js 20 Node.js 18 Node.js 16 Node.js 14 Custom Custom.Debian10	Common Alibaba Cloud SDKs (Node.js 20, Node.js 18, Node.js 16, and Node.js 14)	README.md

Configure common layers in the Function Compute console

Before you start

Create a function

Procedure

Log on to the Function Compute console. In the left-side navigation pane, click Functions.
In the top navigation bar, select a region. On the Functions page, click the name of the function that you want to manage.
On the function details page, click the Configurations tab.
In the left-side navigation tree, click Layers. Click Modify. In the Layers panel, choose + Add Layer > Add Official Common Layer. Then, select a layer from the Official Common Layer drop-down list and its version from the Layer Version drop-down list and click Deploy.

Note

A function can be configured with a maximum of five layers, including custom layers and public layers.
When multiple layers are configured for a function, the content of these layers is merged to the /opt directory in reverse order. If layers contain files with the same name, the files in the first configured layer overwrites the files with the same names in the later configured layer.

Configure a public layer by using Serverless Devs

Before you start

Procedure

Run the following command to find custom layers in the specified region:

s cli fc layer list --official --region cn-hangzhou

In the custom layer list that is returned, obtain and record the Alibaba Cloud Resource Name (ARN) of the desired layer.

- 
  layerName:         Python39-Aliyun-SDK
  arn:               acs:fc:cn-hangzhou:official:layers/Python39-Aliyun-SDK/versions/3
  version:           3
  acl:               1
  description:       Python3.9 Aliyun SDK layer.
  compatibleRuntime: 
    - custom
    - python3.9
    - custom.debian10
- 
  layerName:         Python39-Package-Collection
  arn:               acs:fc:cn-hangzhou:official:layers/Python39-Package-Collection/versions/3
  version:           3
  acl:               1
  description:       Python3.9 package collection layer.
  compatibleRuntime: 
    - custom
    - custom.debian10

Description:

layerName: the name of the layer.
version: the version of the layer.
arn: the ARN of the layer.
acl: the permissions of the layer. The digit 0 specifies that the layer is private and the digit 1 specifies that the layer is public. By default, the public layers are public. The custom layers can be set to private or public.
description: the description of the layer.
compatibleRuntime: the list of compatible runtimes.

In the target directory, create a s.yaml file and enter the obtained layer arn information.

Example:

edition: 3.0.0
name: hello-world-app
access: "default"

vars: # The global variable.
  region: "cn-hangzhou"

resources:
  hello_world:
    component: fc3 # The component name
    actions:       # The custom execution logic. For more information about actions, visit https://docs.serverless-devs.com/serverless-devs/yaml#%E8%A1%8C%E4%B8%BA%E6%8F%8F%E8%BF%B0actions.
    props:
      region: ${vars.region}              # For information about how to use variables, visit: https://docs.serverless-devs.com/serverless-devs/yaml#%E5%8F%98%E9%87%8F%E8%B5%8B%E5%80%BC.
      functionName: "emoji"
      description: 'this is a layer demo'
      runtime: "python3.9"
      code: ./code
      handler: index.handler
      memorySize: 512
      timeout: 60
      internetAccess: true
      layers:    # The layers bound to the function. The values are the ARNs of the layers.
        - acs:fc:cn-hangzhou:official:layers/Python39-Aliyun-SDK/versions/3

Create a code hierarchy in the target directory, and then prepare the function code in the code.
Run the following command in the target directory to deploy the function and configure layers for the function:
```
s deploy
```

More information

You can also use API operations and SDKs to manage and configure layers. For more information, see CreateFunction and UpdateFunction.

If the error "xxx is not supported by layer" is reported when you configure a layer for a function, fix the issue by referring to What do I do if "xxx is not supported by layer" is reported when I configure a layer for a function?