DataframeGenerator

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. def arbitraryDataFrame(sqlContext: SQLContext, schema: StructType, minPartitions: Int = 1): Arbitrary[DataFrame]

   

   Creates a DataFrame Generator for the given Schema.

   Creates a DataFrame Generator for the given Schema.

   sqlContext

   SQL Context.

   schema

   The required Schema.

   minPartitions

   minimum number of partitions, defaults to 1.

   returns

   Arbitrary DataFrames generator of the required schema.

5. def arbitraryDataFrameWithCustomFields(sqlContext: SQLContext, schema: StructType, minPartitions: Int = 1)(userGenerators: ColumnGenerator*): Arbitrary[DataFrame]

   

   Creates a DataFrame Generator for the given Schema, and the given custom generators.

   Creates a DataFrame Generator for the given Schema, and the given custom generators. custom generators should be in the form of (column index, generator function).

   Note: The given custom generators should match the required schema, for ex. you can't use Int generator for StringType.

   Note 2: The ColumnGenerator* accepted as userGenerators has changed. ColumnGenerator is now the base class of the accepted generators, users upgrading to 0.6 need to change their calls to use Column. Futher explanation can be found in the release notes, and in the class descriptions at the bottom of this file.

   sqlContext

   SQL Context.

   schema

   The required Schema.

   minPartitions

   minimum number of partitions, defaults to 1.

   userGenerators

   custom user generators in the form of (column index, generator function). column index starts from 0 to length - 1

   returns

   Arbitrary DataFrames generator of the required schema.

6. final def asInstanceOf[T0]: T0

   

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7. def clone(): AnyRef

   

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

   

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9. def equals(arg0: Any): Boolean

   

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10. def finalize(): Unit

    

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11. final def getClass(): Class[_]

    

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12. def getRowGenerator(schema: StructType, customGenerators: Seq[ColumnGenerator]): Gen[Row]

    

    Creates row generator for the required schema and with user's custom generators.

    Creates row generator for the required schema and with user's custom generators.

    Note: Custom generators should match the required schema, for ex. you can't use Int generator for StringType.

    schema

    the required Row's schema.

    customGenerators

    user custom generator, this is useful if the user want to Control specific columns generation.

    returns

    Gen[Row]

13. def getRowGenerator(schema: StructType): Gen[Row]

    

    Creates row generator for the required schema.

    Creates row generator for the required schema.

    schema

    the required Row's schema.

    returns

    Gen[Row]

14. def hashCode(): Int

    

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15. final def isInstanceOf[T0]: Boolean

    

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

    

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17. final def notify(): Unit

    

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18. final def notifyAll(): Unit

    

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19. final def synchronized[T0](arg0: ⇒ T0): T0

    

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20. def toString(): String

    

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21. final def wait(): Unit

    

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

    

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

    

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