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Adapter Tool ⭐️

Verify that the input data matches the expected output, guaranteeing the correct column names and data types.

Updated over 2 months ago

About the Adapter Tool

The Adapter Tool ensures compatibility between different steps in your analysis. It validates that the input data conforms to the expected schema by verifying that column names and data types match what the next step requires. This guarantees data consistency throughout the process.

Configuration Options

1. Pass through Unmapped Fields:

  • Toggle this option if you want fields not specified in the Adapter configuration to be passed through to the next step.

2. Bootstrap the Adapter Tool:

  • Use the Bootstrap button to set the schema of the input as the required configuration of the Adapter Tool.

3. Unlock Field Specifications:

  • Before modifying the field mappings, unlock the field specifications by toggling the lock icon. This will allow you to edit field properties.

4. Field Mappings:

  • Field Name: Set the name of the field used in the analysis.

  • Required: Select this option if the field must exist in the dataset after processing through the Adapter.

  • Data Type: Specify the data type of the field (e.g., Integer, Text, etc.).

  • Mapped From: Choose the corresponding input field mapped to the current field being configured.

  • Use the trash can icon to delete fields, and the drag handle (dots) to move or reorder fields.

Additional Notes

  • Locked and Editable Field Specifications: When locked, field specifications cannot be modified. Unlock them to adjust mappings or field properties.

  • Linking New Data: After bootstrapping the Adapter Tool, you can link new data sources by replacing the existing input dataset. The Adapter will attempt to auto-map fields where possible, but unmapped fields may need manual configuration.

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