In this sample workflow, a Map workflow state state processes data from a queue, sending messages to subscribers and storing them in a database.
Step Functions uses an optimized integration to pull messages from an Amazon SQS queue. When messages are available, a Choice state passes an array of JSON messages to a Map state for processing. For each message, the state machine writes the message to DynamoDB, removes the message from the queue, and publishes the message to an Amazon SNS topic.
Step 1: Create the state machine
-
Open the Step Functions console
and choose Create state machine. -
Choose Create from template and find the related starter template. Choose Next to continue.
-
Choose how to use the template:
-
Run a demo – creates a read-only state machine. After review, you can create the workflow and all related resources.
-
Build on it – provides an editable workflow definition that you can review, customize, and deploy with your own resources. (Related resources, such as functions or queues, will not be created automatically.)
-
-
Choose Use template to continue with your selection.
Note
Standard charges apply for services deployed to your account.
Step 2: Subscribe to the Amazon SNS topic
Tip
Subscribe to the Amazon SNS topic and add items to the Amazon SQS queue before you run your state machine.
-
Open the Amazon SNS console
. -
Choose Topics and find the topic that was created by the sample project.
-
Choose Create subscription, and for Protocol, choose Email.
-
Under Endpoint, enter your email address to subscribe to the topic.
-
Choose Create subscription.
-
Confirm the subscription in your email to activate the subscription.
Step 3: Add messages to the Amazon SQS queue
-
Open the Amazon SQS console
. -
Choose the queue that was created by the sample project.
-
Choose Send and receive messages, enter a message and choose Send message. Repeat this step to add several messages to the queue.
Step 4: Run the state machine
Tip
Queues in Amazon SNS are eventually consistent. You may need to wait a few minutes after sending messages to the queue before running your state machine.
If you chose the Run a demo option, all related resources will be deployed and ready to run. If you chose the Build on it option, you might need to set placeholder values and create additional resources before you can run your custom workflow.
Choose Deploy and run.
Wait for the AWS CloudFormation stack to deploy. This can take up to 10 minutes.
After the Start execution option appears, review the Input and choose Start execution.
Congratulations!
You should now have a running demo of your state machine. You can choose states in the Graph view to review input, output, variables, definition, and events.
