tencent cloud

Overview

The SCF container image feature has been launched, so you can use images for development. This document describes how to install an image and use it for development.

Prerequisites

Docker has been installed in the development environment.

Directions

Getting image

The SCF image is based on CentOS 7.7.1908 and available as a public image in TKE. You can search for scf-repo on the public image page to view the image information.

1. Run the following command to pull the image:

   # Pull the SCF source image
   docker pull ccr.ccs.tencentyun.com/scf-repo/scf-runtimes-image:latest

   Note：

   If the command prompts a permission error and cannot be executed normally, add sudo before the command and try again.

2. You can view the runtime contained in the current image in the /scf/lang/ directory.
   As the SCF source image contains all runtimes, it is relatively large. Please refer to the following table and choose a runtime image according to your needs.

   Runtime	Address
   SCF	ccr.ccs.tencentyun.com/scf-repo/scf-runtimes-image:latest
   Go 1.8	ccr.ccs.tencentyun.com/scf-repo/runtime-go1:latest
   Python 2.7	ccr.ccs.tencentyun.com/scf-repo/runtime-python2:latest
   Python 3.6	ccr.ccs.tencentyun.com/scf-repo/runtime-python3:latest
   PHP 5.6	ccr.ccs.tencentyun.com/scf-repo/runtime-php5:latest
   PHP 7.2	ccr.ccs.tencentyun.com/scf-repo/runtime-php7:latest
   Java 8	ccr.ccs.tencentyun.com/scf-repo/runtime-java8:latest
   Node.js 6.10	ccr.ccs.tencentyun.com/scf-repo/runtime-node6:latest
   Node.js 8.9	ccr.ccs.tencentyun.com/scf-repo/runtime-node8:latest
   Node.js 10.15	ccr.ccs.tencentyun.com/scf-repo/runtime-node10:latest
   Node.js 12.16	ccr.ccs.tencentyun.com/scf-repo/runtime-node12:latest

3. This document uses the scf:python3 tag as an example. Run the following command to retag the image:

   docker pull ccr.ccs.tencentyun.com/scf-repo/runtime-python3:latest
   # Run this command to find the IMAGE ID and copy it
   docker images
   # docker tag IMAGE_ID REPOSITORY:TAG
   docker tag 0729ecc15d37 scf:python3

   The execution result is as shown below:
   

   Note：

   If you don't want to tag the image, you need to replace scf:python3 in the sample with ccr.ccs.tencentyun.com/scf-repo/runtime-python3:latest.

Using image for dependency installation

This document uses the NodeJieba dependency in the Node.js 12 environment as an example to describe how to install dependencies with an image.

Getting Node.js 12 image

Run the following command to pull the image:

docker pull ccr.ccs.tencentyun.com/scf-repo/runtime-node12:latest
# Run this command to find the IMAGE ID and copy it
docker images
docker tag d64a665357b6 scf:node12

Starting container and mounting directory

Run the following command to start the container and mount the local directory to a directory in the container (if the directory does not exist, it will be created automatically). This document uses mounting the /path/to/your_project directory to the /tmp/your_project directory in the container as an example.

docker run -it -v /path/to/your_project:/tmp/your_project scf:node12 /bin/bash

Installing dependencies in container

1. After starting the container, run the cd command to enter the directory in the container. Then, run the npm command to install NodeJieba in this directory as shown below:

   cd /tmp/your_project
   npm install nodejieba --save

2. The dependency will be installed in the local /path/to/your_project directory. Run the exit command to exit the container as shown below:

   # Exit the container
   exit

Following the above steps, you can install dependencies through the container image and then redeploy the code to SCF. For the Node.js language, online dependency installation is also supported, so that dependencies will be automatically installed upon upload.

Using image for development

This document uses Python 3.6 as an example to describe how to use a container for development and testing.

Getting Python 3.6 image

Run the following command to pull the image:

docker pull ccr.ccs.tencentyun.com/scf-repo/runtime-python3:latest
# Run this command to find the IMAGE ID and copy it
docker images
docker tag d64a665357b6 scf:python3

Starting container and mounting directory

1. Run the following command to start the container and mount the local project directory to a directory in the container (if the directory does not exist, it will be created automatically):

   docker run -it -v /path/to/your_project:/tmp/your_project scf:node12 /bin/bash

2. Run the docker exec command to enter the container for development as shown below:

   docker ps
   # Get the CONTAINER ID
   docker exec -it CONTAINER_ID /bin/bash

Saving image

Run the following command to submit changes to the local image for subsequent use:

# Get the container ID
docker ps 
# Save the image locally
# docker commit [OPTIONS] CONTAINER [REPOSITORY[:TAG]]
docker commit db47b8e66e64 scf:myimage