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c

com.couchbase.spark.sql

DataFrameReaderFunctions

class DataFrameReaderFunctions extends Serializable

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Instance Constructors

  1. new DataFrameReaderFunctions(dfr: DataFrameReader)

Value Members

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