ml.combust.mleap.runtime

DefaultLeapFrame

case class DefaultLeapFrame(schema: StructType, dataset: Dataset) extends LeapFrame[DefaultLeapFrame] with Product with Serializable

Class for storing a leap frame locally.

schema

schema of leap frame

dataset

dataset of leap frame

Linear Supertypes
Product, Equals, LeapFrame[DefaultLeapFrame], TransformBuilder[DefaultLeapFrame], Serializable, Serializable, AnyRef, Any
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Inherited
  1. DefaultLeapFrame
  2. Product
  3. Equals
  4. LeapFrame
  5. TransformBuilder
  6. Serializable
  7. Serializable
  8. AnyRef
  9. Any
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Visibility
  1. Public
  2. All

Instance Constructors

  1. new DefaultLeapFrame(schema: StructType, dataset: Dataset)

    schema

    schema of leap frame

    dataset

    dataset of leap frame

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. final def asInstanceOf[T0]: T0

    Definition Classes
    Any
  7. def clone(): AnyRef

    Attributes
    protected[java.lang]
    Definition Classes
    AnyRef
    Annotations
    @throws( ... )
  8. val dataset: Dataset

    dataset of leap frame

    dataset of leap frame

    Definition Classes
    DefaultLeapFrameLeapFrame
  9. def dropField(name: String): Try[DefaultLeapFrame]

    Try to drop a field from the LeapFrame.

    Try to drop a field from the LeapFrame.

    Returns a Failure if the field does not exist.

    name

    name of field to drop

    returns

    try new LeapFrame with field dropped

    Definition Classes
    LeapFrame
  10. final def eq(arg0: AnyRef): Boolean

    Definition Classes
    AnyRef
  11. def finalize(): Unit

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

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

    Definition Classes
    Any
  14. def lf: DefaultLeapFrame

    Get this as underlying implementation.

    Get this as underlying implementation.

    returns

    this as underlying implementation

    Attributes
    protected
    Definition Classes
    DefaultLeapFrameLeapFrame
  15. final def ne(arg0: AnyRef): Boolean

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

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

    Definition Classes
    AnyRef
  18. val schema: StructType

    schema of leap frame

    schema of leap frame

    Definition Classes
    DefaultLeapFrameLeapFrame
  19. def select(fieldNames: String*): Try[DefaultLeapFrame]

    Try to select fields to create a new LeapFrame.

    Try to select fields to create a new LeapFrame.

    Returns a Failure if attempting to select any fields that don't exist.

    fieldNames

    field names to select

    returns

    try new LeapFrame with selected fields

    Definition Classes
    LeapFrame
  20. final def synchronized[T0](arg0: ⇒ T0): T0

    Definition Classes
    AnyRef
  21. final def wait(): Unit

    Definition Classes
    AnyRef
    Annotations
    @throws( ... )
  22. final def wait(arg0: Long, arg1: Int): Unit

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

    Definition Classes
    AnyRef
    Annotations
    @throws( ... )
  24. def withField(field: StructField)(f: (Row) ⇒ Any): Try[DefaultLeapFrame]

    Try to add a field to the LeapFrame.

    Try to add a field to the LeapFrame.

    Returns a Failure if trying to add a field that already exists.

    field

    field to add

    f

    function for calculating field value

    returns

    try new LeapFrame with new field

    Definition Classes
    LeapFrame
  25. def withField(name: String, dataType: DataType)(f: (Row) ⇒ Any): Try[DefaultLeapFrame]

    Try to add a field to the LeapFrame.

    Try to add a field to the LeapFrame.

    Returns a Failure if trying to add a field that already exists.

    name

    name of field

    dataType

    data type of field

    f

    function for calculating field value

    returns

    try new LeapFrame with new field

    Definition Classes
    LeapFrame
  26. def withFields(fields: Seq[StructField])(f: (Row) ⇒ Row): Try[DefaultLeapFrame]

    Try to add multiple fields to the LeapFrame.

    Try to add multiple fields to the LeapFrame.

    Returns a Failure if trying to add any existing fields.

    fields

    fields to add

    f

    function for calculating new field values

    returns

    try new LeapFrame with new fields

    Definition Classes
    LeapFrame
  27. def withFields(field: StructField, fields: StructField*)(f: (Row) ⇒ Row): Try[DefaultLeapFrame]

    Try to add multiple fields to the LeapFrame.

    Try to add multiple fields to the LeapFrame.

    Returns a Failure if trying to add any existing fields.

    field

    first field to add

    fields

    fields to add

    f

    function for calculating new field values

    returns

    try new LeapFrame with new fields

    Definition Classes
    LeapFrame
  28. def withInput(name: String, dataType: DataType): Try[(DefaultLeapFrame, Int)]

    Definition Classes
    LeapFrameTransformBuilder
  29. def withInput(name: String): Try[(DefaultLeapFrame, Int)]

    Definition Classes
    LeapFrameTransformBuilder
  30. def withOutput(name: String, dataType: DataType)(o: (Row) ⇒ Any): Try[DefaultLeapFrame]

    Definition Classes
    LeapFrameTransformBuilder
  31. def withOutputs(fields: Seq[StructField])(o: (Row) ⇒ Row): Try[DefaultLeapFrame]

    Definition Classes
    LeapFrameTransformBuilder
  32. def withSchemaAndDataset(schema: StructType, dataset: Dataset): DefaultLeapFrame

    Creates a new instance of this LeapFrame with new schema and dataset.

    Creates a new instance of this LeapFrame with new schema and dataset.

    schema

    new schema

    dataset

    new dataset

    returns

    new leap frame with schema and dataset

    Attributes
    protected
    Definition Classes
    DefaultLeapFrameLeapFrame

Inherited from Product

Inherited from Equals

Inherited from LeapFrame[DefaultLeapFrame]

Inherited from Serializable

Inherited from Serializable

Inherited from AnyRef

Inherited from Any

Ungrouped