com.holdenkarau.spark.testing

DatasetSuiteBaseLike

trait DatasetSuiteBaseLike extends DataFrameSuiteBaseLike

Linear Supertypes
DataFrameSuiteBaseLike, Serializable, Serializable, TestSuiteLike, SparkContextProvider, AnyRef, Any
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Inherited
  1. DatasetSuiteBaseLike
  2. DataFrameSuiteBaseLike
  3. Serializable
  4. Serializable
  5. TestSuiteLike
  6. SparkContextProvider
  7. AnyRef
  8. Any
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Abstract Value Members

  1. abstract def assert[U](message: String, expected: U, actual: U)(implicit CT: ClassTag[U]): Unit

    Definition Classes
    TestSuiteLike
  2. abstract def assert[U](expected: U, actual: U)(implicit CT: ClassTag[U]): Unit

    Definition Classes
    TestSuiteLike
  3. abstract def assertEmpty[U](arr: Array[U])(implicit CT: ClassTag[U]): Unit

    Definition Classes
    TestSuiteLike
  4. abstract def assertTrue(expected: Boolean): Unit

    Definition Classes
    TestSuiteLike
  5. abstract def sc: SparkContext

    Definition Classes
    SparkContextProvider

Concrete Value Members

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

    Definition Classes
    AnyRef
  2. final def !=(arg0: Any): Boolean

    Definition Classes
    Any
  3. final def ##(): Int

    Definition Classes
    AnyRef → Any
  4. final def ==(arg0: AnyRef): Boolean

    Definition Classes
    AnyRef
  5. final def ==(arg0: Any): Boolean

    Definition Classes
    Any
  6. def appID: String

    Definition Classes
    SparkContextProvider
  7. def approxEquals(r1: Row, r2: Row, tol: Double): Boolean

    Definition Classes
    DataFrameSuiteBaseLike
  8. final def asInstanceOf[T0]: T0

    Definition Classes
    Any
  9. def assertDataFrameApproximateEquals(expected: DataFrame, result: DataFrame, tol: Double): Unit

    Compares if two DataFrames are equal, checks that the schemas are the same.

    Compares if two DataFrames are equal, checks that the schemas are the same. When comparing inexact fields uses tol.

    tol

    max acceptable tolerance, should be less than 1.

    Definition Classes
    DataFrameSuiteBaseLike
  10. def assertDataFrameEquals(expected: DataFrame, result: DataFrame): Unit

    Compares if two DataFrames are equal, checks the schema and then if that matches checks if the rows are equal.

    Compares if two DataFrames are equal, checks the schema and then if that matches checks if the rows are equal.

    Definition Classes
    DataFrameSuiteBaseLike
  11. def assertDatasetApproximateEquals[U](expected: Dataset[U], result: Dataset[U], tol: Double)(implicit UCT: ClassTag[U]): Unit

    Compares if two Datasets are equal, Datasets should have the same type.

    Compares if two Datasets are equal, Datasets should have the same type. When comparing inexact fields uses tol.

    tol

    max acceptable tolerance, should be less than 1.

  12. def assertDatasetEquals[U](expected: Dataset[U], result: Dataset[U])(implicit UCT: ClassTag[U]): Unit

    Check if two Datasets are equals, Datasets should have the same type.

    Check if two Datasets are equals, Datasets should have the same type. This method could be customized by overriding equals method for the given class type.

  13. def clone(): AnyRef

    Attributes
    protected[java.lang]
    Definition Classes
    AnyRef
    Annotations
    @throws( ... )
  14. def conf: SparkConf

    Definition Classes
    SparkContextProvider
  15. final def eq(arg0: AnyRef): Boolean

    Definition Classes
    AnyRef
  16. def equals(arg0: Any): Boolean

    Definition Classes
    AnyRef → Any
  17. def finalize(): Unit

    Attributes
    protected[java.lang]
    Definition Classes
    AnyRef
    Annotations
    @throws( classOf[java.lang.Throwable] )
  18. final def getClass(): Class[_]

    Definition Classes
    AnyRef → Any
  19. def hashCode(): Int

    Definition Classes
    AnyRef → Any
  20. final def isInstanceOf[T0]: Boolean

    Definition Classes
    Any
  21. val maxUnequalRowsToShow: Int

    Definition Classes
    DataFrameSuiteBaseLike
  22. final def ne(arg0: AnyRef): Boolean

    Definition Classes
    AnyRef
  23. final def notify(): Unit

    Definition Classes
    AnyRef
  24. final def notifyAll(): Unit

    Definition Classes
    AnyRef
  25. def setup(sc: SparkContext): Unit

    Setup work to be called when creating a new SparkContext.

    Setup work to be called when creating a new SparkContext. Default implementation currently sets a checkpoint directory.

    This _should_ be called by the context provider automatically.

    Definition Classes
    SparkContextProvider
  26. def sqlBeforeAllTestCases(): Unit

    Definition Classes
    DataFrameSuiteBaseLike
  27. lazy val sqlContext: HiveContext

    Definition Classes
    DataFrameSuiteBaseLike
  28. final def synchronized[T0](arg0: ⇒ T0): T0

    Definition Classes
    AnyRef
  29. def toString(): String

    Definition Classes
    AnyRef → Any
  30. final def wait(arg0: Long, arg1: Int): Unit

    Definition Classes
    AnyRef
    Annotations
    @throws( ... )
  31. final def wait(arg0: Long): Unit

    Definition Classes
    AnyRef
    Annotations
    @throws( ... )
  32. final def wait(): Unit

    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

Inherited from DataFrameSuiteBaseLike

Inherited from Serializable

Inherited from Serializable

Inherited from TestSuiteLike

Inherited from SparkContextProvider

Inherited from AnyRef

Inherited from Any

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