Amazon CodeWhisperer integration with EMR Studio Workspaces - Amazon EMR
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Amazon CodeWhisperer integration with EMR Studio Workspaces


You can use Amazon CodeWhisperer with Amazon EMR Studio to get real-time recommendations as you write code in JupyterLab. CodeWhisperer can complete your comments, finish single lines of code, make line-by-line recommendations, and generate fully-formed functions.


When you use Amazon EMR Studio, Amazon might store data about your usage and content for service improvement purposes. For more information and instructions to opt out of data sharing, see Sharing your data with Amazon in the Amazon CodeWhisperer User Guide.

Considerations for using CodeWhisperer with Workspaces

  • CodeWhisperer integration is available in the same Amazon Web Services Regions where EMR Studio is available, as documented in the EMR Studio considerations.

  • Amazon EMR Studio automatically uses the CodeWhisperer endpoint in US East (N. Virginia) (us-east-1) for recommendations, regardless of the Region that your studio is in.

  • CodeWhisperer supports only Python language for coding ETL scripts for Spark jobs in EMR Studio.

  • A client-side telemetry option quantifies your usage of CodeWhisperer. This functionality isn't supported with EMR Studio.

Permissions required for CodeWhisperer

To use CodeWhisperer, you must attach the following policy to your IAM user role for Amazon EMR Studio:

{ "Version": "2012-10-17", "Statement": [ { "Sid": "CodeWhispererPermissions", "Effect": "Allow", "Action": [ "codewhisperer:GenerateRecommendations" ], "Resource": "*" } ] }

Use CodeWhisperer with Workspaces

To display the CodeWhisperer reference log in JupyterLab, open the CodeWhisperer panel at the bottom of the JupyterLab window and choose Open Code Reference Log.

The following list contains shortcuts that you can use to interact with CodeWhisperer suggestions:

  • Pause recommendations – Use Pause Auto-Suggestions from the CodeWhisperer settings.

  • Accept a recommendation – Press Tab on your keyboard.

  • Reject a recommendation – Press Escape on your keyboard.

  • Navigate recommendations – Use the Up and Down arrows on your keyboard.

  • Manual invoke – Press Alt and C on your keyboard. If you're using a Mac, press Cmd and C.

You can also use CodeWhisperer to change settings like log level and get suggestions for code references. For more information, see Setting up CodeWhisperer with JupyterLab and Features in the Amazon CodeWhisperer User Guide.