DataFrameReaderFunctions

Value Members

1. final def !=(arg0: Any): Boolean

   

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2. final def ##(): Int

   

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3. final def ==(arg0: Any): Boolean

   

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4. final def asInstanceOf[T0]: T0

   

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5. def clone(): AnyRef

   

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6. def couchbase(schema: StructType, schemaFilter: Filter, options: Map[String, String]): DataFrame

   

7. def couchbase(schema: StructType, schemaFilter: Filter): DataFrame

   

8. def couchbase(schemaFilter: Filter): DataFrame

   

9. def couchbase(schemaFilter: Filter, options: Map[String, String]): DataFrame

   

   Creates a DataFrame through schema inference with a filter applied on the only bucket open.

   Creates a DataFrame through schema inference with a filter applied on the only bucket open.

   The filter will be essentially turned into a WHERE clause on the N1QL query, which allows for much more exact schema inference, especially on a large and/or diverse data set.

   schemaFilter

   the filter clause which constraints the document set used for inference.

10. def couchbase(schema: StructType): DataFrame

    

11. def couchbase(schema: StructType, options: Map[String, String]): DataFrame

    

    Creates a DataFrame with a manually defined schema on the only bucket open.

    Creates a DataFrame with a manually defined schema on the only bucket open.

    schema

    the manual schema defined.

12. def couchbase(options: Map[String, String]): DataFrame

    

13. def couchbase(): DataFrame

    

    Creates a DataFrame through schema inference and no filter on the only bucket open.

14. val dfr: DataFrameReader

    

15. final def eq(arg0: AnyRef): Boolean

    

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16. def equals(arg0: Any): Boolean

    

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17. def finalize(): Unit

    

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19. def hashCode(): Int

    

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21. final def ne(arg0: AnyRef): Boolean

    

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22. final def notify(): Unit

    

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26. final def wait(): Unit

    

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27. final def wait(arg0: Long, arg1: Int): Unit

    

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28. final def wait(arg0: Long): Unit

    

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