Open Issues Need Help
View All on GitHubF# Data: Library for Data Access
AI Summary: This issue requests an improvement in the project's documentation, specifically focusing on two key areas: the rules governing type inference and the runtime behavior concerning missing values, optionals, and similar concepts. The current documentation is perceived as insufficient in these areas, and the request aims for clearer and more comprehensive explanations.
F# Data: Library for Data Access
F# Data: Library for Data Access
F# Data: Library for Data Access
F# Data: Library for Data Access
F# Data: Library for Data Access
F# Data: Library for Data Access
F# Data: Library for Data Access
F# Data: Library for Data Access
F# Data: Library for Data Access
F# Data: Library for Data Access
F# Data: Library for Data Access
F# Data: Library for Data Access
F# Data: Library for Data Access
AI Summary: The user requests a new parameter for the CsvProvider to disable its automatic inference of columns containing only 0s and 1s as boolean types. They note that similar `InferTypesFromValues` parameters already exist for XmlProvider and JsonProvider, suggesting a desire for consistent type inference control across providers.
F# Data: Library for Data Access
F# Data: Library for Data Access
F# Data: Library for Data Access
F# Data: Library for Data Access
F# Data: Library for Data Access
F# Data: Library for Data Access