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[FSTORE-1708] add pre-insert schema validation errors #453
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Pull Request Overview
This PR adds documentation detailing pre-insert schema validations for online feature groups with common error types and corrective actions.
- Adds a new documentation section on pre-insert schema validation for online feature groups.
- Introduces a table outlining key error types, requirements, and suggestions for correction.
Co-authored-by: Copilot <[email protected]>
Co-authored-by: Copilot <[email protected]>
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Pull Request Overview
This PR adds documentation for pre-insert schema validation errors for online feature groups, providing guidance on how to handle common validation issues.
- Introduces a new section on pre-insert schema validation.
- Provides Python and Pandas code examples for handling primary key null values, missing primary key columns, and string length issues.
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#### Pre-insert schema validation for online feature groups | ||
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The input dataframe can be validated for schema as per the valid online schema data types before online ingestion. The most important checks are mentioned below along with possible corrective actions. It is enabled by setting the keyword argument `validation_options={'run_validation':True}` in the `insert()` API of feature groups. |
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The validation is enabled by default so maybe you should say how to disable it instead
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