aws-step-functions-iterate-sample's Introduction

AWS Step Functions Iteration Sample

A complete serverless stack demonstrating how to process an arbitrary number of jobs using AWS Step Functions. This is the sample project to the article Processing an arbitrary number of jobs with AWS Step Functions.

Prerequisites

In order to build, deploy and run this sample app you'll need an AWS account and the following tools installed on your machine.

Go to compile the Lambda functions
AWS CLI for deployment
AWS SAM CLI for deployment

Make sure to clone the repository into your $GOPATH.

Build

Get all dependencies and build the Lambda functions for the Amazon Linux.

go get ./cmd/...

GOOS=linux go build -o ./cmd/move-to-end/move-to-end ./cmd/move-to-end
GOOS=linux go build -o ./cmd/process-execute/process-execute ./cmd/process-execute

Deploy

sam package --template-file ./template.yaml \
  --s3-bucket <S3_BUCKET> \ 
  --output-template-file ./template.packaged.yaml

aws cloudformation deploy --template-file "$(PWD)/template.packaged.yaml" \
  --stack-name <STACK_NAME> \
  --capabilities CAPABILITY_NAMED_IAM

Run

The workflow is started by process-execute, passing the input data to the state machine.

{
  "guid": "execution-id",
  "jobs": [{
    "guid": "execution-id-0",
    "input": "First job",
    "done": false
  }, {
    "guid": "execution-id-1",
    "input": "Second job",
    "done": false
  }]
}

Alternatively, start an execution using the AWS CLI and the correct state machine arn.

aws stepfunctions start-execution --state-machine-arn <STATE_MACHINE_ARN> \
  --input "{\"jobs\": [{\"input\": \"First job\", \"done\": false}, {\"input\": \"Second job\", \"done\": false}]}"

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