AWS EMR Jobs: Start Notebook Execution

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Automic Automation AWS EMR Start Notebook Execution Jobs allow you to schedule and monitor jobs for any of the service instances that exist on the AWS EMR Cockpit.

Defining AWS EMR Start Notebook Execution Job Properties

On the Start Notebook Execution Job page you define the parameters relevant to write and execute code interactively using Jupyter notebooks.

(Click to expand)

Connection

AWS EMR Connection object containing the relevant information to connect to the application.

To search for a Connection object, start typing its name to limit the list of the objects that match your input.

With Payload

Allows you to pass the job definition to AWS EMR in JSON format. Check this box to select one of the Payload Type options available:

JSON

Use the JSON field to enter the JSON payload definition.

Example:

{
	    "EditorId": "string",
	    "EnvironmentVariables": {
	    "string": "string"
	},
	"ExecutionEngine": {
 	  "ExecutionRoleArn": "string",
	  "Id": "string",
	  "MasterInstanceSecurityGroupId": "string",
	  "Type": "string"
	},
	  "NotebookExecutionName": "string",
  	  "NotebookInstanceSecurityGroupId": "string",
	  "NotebookParams": "string",
	  "RelativePath": "string",
	  "ServiceRole": "string"
}

File Path

Use the File Path field to define the path to the JSON file containing the attributes that you want to pass to the application.

Cluster ID

Choose the Cluster ID from picker. For example:

j-1MYG41H9W79SH
Editor ID

The unique identifier of the Amazon EMR Notebook to use for notebook execution. For example:

e-8S64GVNM2IHLCSYLVT123DS
Relative Path

The path and file name of the notebook file for this execution, relative to the path specified for the Amazon EMR Notebook. For example:

Studio_1_Workspace_1.ipynb
Notebook Execution Name

(Optional) Name for the specific execution of the notebook.
Service Role

The name or ARN of the IAM role that is used as the service role for Amazon EMR. For example:

arn:aws:iam::56:role/service/Service