Edit a destination node - Amazon SageMaker AI

Edit a destination node

A destination node in a Amazon SageMaker Canvas data flow specifies the Amazon S3 location where your processed and transformed data is stored, applying all the configured transformations in your data flow. You can edit the configuration of an existing destination node and then choose to re-run the job to overwrite the data in the specified Amazon S3 location. For more information about adding a new destination node, see Add destination nodes.

Use the following procedure to edit a destination node in your data flow and initiate an export job.

To edit a destination node

  1. Navigate to your data flow.

  2. Choose the ellipsis icon next to the destination node that you want to edit.

  3. In the context menu, choose Edit.

  4. The Edit destination side panel opens. From this panel, you can edit details such as the dataset name, the Amazon S3 location, and the export and partitioning settings.

  5. (Optional) In Additional nodes to export, you can select more destination nodes to process when you run the export job.

  6. Leave the Process entire dataset option selected if you want Canvas to apply your data flow transforms to your entire dataset and export the result. If you deselect this option, Canvas only applies the transforms to the sample of your dataset used in the interactive Data Wrangler data flow.

  7. Leave the Auto job configuration option selected if you want Canvas to automatically determine whether to run the job using Canvas application memory or an EMR Serverless job. If you deselect this option and manually configure your job, then you can choose to use either an EMR Serverless or a SageMaker Processing job. For instructions on how to configure an EMR Serverless or a SageMaker Processing job, see the preceding section Export to Amazon S3.

  8. When you're done making changes, choose Update.

Saving changes to your destination node configuration doesn't automatically re-run a job or overwrite data that has already been processed and exported. Export your data again to run a job with the new configuration. If you decide to export your data again with a job, Canvas uses the updated destination node configuration to transform and output the data to the specified location, overwriting any existing data.