Name: amazon-dax-lambda-nodejs-sample
Owner: AWS Samples
Description: A sample application showing how to use Amazon DynamoDB Accelerator (DAX) with Lambda and CloudFormation.
Created: 2018-03-23 20:15:48.0
Updated: 2018-05-14 23:32:46.0
Pushed: 2018-05-08 04:22:23.0
Homepage: null
Size: 10
Language: JavaScript
GitHub Committers
| User | Most Recent Commit | # Commits |
|---|
Other Committers
| User | Most Recent Commit | # Commits |
|---|
A sample application showing how to use Amazon DynamoDB Accelerator (DAX) with Lambda and CloudFormation. This is based on the blog post at TODO.
Deploying the demo will require npm, the AWS CLI, and an AWS account. The AWS credentials for that account should be set up in the AWS CLI.
First, download the dependencies using npm:
npm install
Then, create a zip file called geturl.zip containing the lambda and node_modules folders. On Mac/Linux/WSL, uses the zip command:
zip -qur geturl node_modules lambda
Otherwise, put the necessary folders in a zip file.
CloudFormation needs the code & template to be stored in an S3 bucket (replace bucket-name with something unique):
aws s3 mb s3://bucket-name
Now we can create the CloudFormation package and deploy it:
aws cloudformation package --template-file template.yaml --output-template-file packaged-template.yaml --s3-bucket bucket-name
aws cloudformation deploy --template-file packaged-template.yaml --capabilities CAPABILITY_NAMED_IAM --stack-name amazon-dax-lambda-nodejs-sample
One the CloudFormation stack is created, determine the insternal endpoint name (macOS/Linux/WSL):
gwId=$(aws apigateway get-rest-apis --query "items[?name == 'amazon-dax-lambda-nodejs-sample'].id | [0]" --output text)
endpointUrl="https://$gwId.execute-api.region.amazonaws.com/Prod"
To shorten a URL:
curl -d 'https://www.amazon.com' "$endpointUrl"
The output will be a “slug” that can be used to fetch the URL (in this case, grqpaeet):
curl -v "$endpointUrl/grqpaeet"
This sample code is made available under a modified MIT license. See the LICENSE file.