com.ignition.frame

Invoke

case class Invoke(path: String, fileType: String = "json") extends FrameModule with Product with Serializable

Loads and executes a subflow stored in an external file (json or xml).

Linear Supertypes
Product, Equals, FrameModule, FrameStep, Module[DataFrame, SparkRuntime], MultiOutputStep[DataFrame, SparkRuntime], MultiInputStep[DataFrame, SparkRuntime], Step[DataFrame, SparkRuntime], JsonExport, XmlExport, AbstractStep, Serializable, Serializable, AnyRef, Any
Ordering
  1. Alphabetic
  2. By inheritance
Inherited
  1. Invoke
  2. Product
  3. Equals
  4. FrameModule
  5. FrameStep
  6. Module
  7. MultiOutputStep
  8. MultiInputStep
  9. Step
  10. JsonExport
  11. XmlExport
  12. AbstractStep
  13. Serializable
  14. Serializable
  15. AnyRef
  16. Any
  1. Hide All
  2. Show all
Learn more about member selection
Visibility
  1. Public
  2. All

Instance Constructors

  1. new Invoke(path: String, fileType: String = "json")

Type Members

  1. case class InPort(index: Int) extends ConnectionTarget[T, R] with Product with Serializable

    Definition Classes
    MultiInputStep

  2. case class OutPort(index: Int) extends ConnectionSource[T, R] with Product with Serializable

    Definition Classes
    MultiOutputStep

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. def -->(targets: ConnectionTarget[DataFrame, SparkRuntime]*): Unit

    Definition Classes
    MultiOutputStep

  5. def -->(tgt: MultiInputStep[DataFrame, SparkRuntime]): tgt.type

    Definition Classes
    MultiOutputStep

  6. def -->(tgt: ConnectionTarget[DataFrame, SparkRuntime]): tgt.type

    Definition Classes
    MultiOutputStep

  7. final def ==(arg0: AnyRef): Boolean

    Definition Classes
    AnyRef

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

    Definition Classes
    Any

  9. def addStepListener(listener: StepListener[DataFrame, SparkRuntime]): Unit

    Registers a new listener.

    Registers a new listener.

    Definition Classes
    Step

  10. val allInputsRequired: Boolean

    Specifies if the step should throw an error if one of the inputs is not connected.

    Specifies if the step should throw an error if one of the inputs is not connected.

    Definition Classes
    Invoke → Step

  11. final def asInstanceOf[T0]: T0

    Definition Classes
    Any

  12. def buildSchema(index: Int)(implicit runtime: SparkRuntime): StructType

    Returns the output schema of the step at a given index by calling output() in preview mode and retrieving the schema from the DataFrame.

    Returns the output schema of the step at a given index by calling output() in preview mode and retrieving the schema from the DataFrame. Since the default implementation of this method calls output(), invoking it from output() directly or indirectly will result in infinite cycle.

    Attributes
    protected
    Definition Classes
    FrameStep

  13. def clone(): AnyRef

    Attributes
    protected[java.lang]
    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

  14. def compute(args: IndexedSeq[DataFrame], index: Int)(implicit runtime: SparkRuntime): DataFrame

    Attributes
    protected
    Definition Classes
    Invoke → Module

  15. def compute(index: Int)(implicit runtime: SparkRuntime): DataFrame

    Computes a step output value at the specified index.

    Computes a step output value at the specified index. This method is invoked from output() and can safely throw any exception, which will be wrapped into ExecutionException.

    index

    the output value index.

    Attributes
    protected
    Definition Classes
    Module → Step

  16. def ctx(implicit runtime: SparkRuntime): SQLContext

    Returns the implicit SQLContext.

    Returns the implicit SQLContext.

    Attributes
    protected
    Definition Classes
    FrameStep

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

    Definition Classes
    AnyRef

  18. final def evaluate(implicit runtime: SparkRuntime): IndexedSeq[DataFrame]

    Evaluates all step's outputs and returns a list of results.

    Evaluates all step's outputs and returns a list of results.

    Definition Classes
    Step
    Annotations
    @throws( classOf[ExecutionException] )

  19. val fileType: String

  20. def finalize(): Unit

    Attributes
    protected[java.lang]
    Definition Classes
    AnyRef
    Annotations
    @throws( classOf[java.lang.Throwable] )

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

    Definition Classes
    AnyRef → Any

  22. val in: LazyArray[InPort]

    Definition Classes
    MultiInputStep

  23. val inputCount: Int

    The maximum number of input ports.

    The maximum number of input ports.

    Definition Classes
    FrameModule → Step

  24. def inputs(implicit runtime: SparkRuntime): IndexedSeq[DataFrame]

    Definition Classes
    MultiInputStep

  25. final def isInstanceOf[T0]: Boolean

    Definition Classes
    Any

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

    Definition Classes
    AnyRef

  27. final def notify(): Unit

    Definition Classes
    AnyRef

  28. final def notifyAll(): Unit

    Definition Classes
    AnyRef

  29. def optLimit(df: DataFrame, preview: Boolean): DataFrame

    Takes one row from the data frame is preview is true.

    Takes one row from the data frame is preview is true.

    Attributes
    protected
    Definition Classes
    FrameStep

  30. val out: LazyArray[OutPort]

    Definition Classes
    MultiOutputStep

  31. final def outSchema(implicit runtime: SparkRuntime): StructType

    Returns the output schema of the step at index 0.

    Returns the output schema of the step at index 0.

    Definition Classes
    FrameStep

  32. final def outSchema(index: Int)(implicit runtime: SparkRuntime): StructType

    Returns the output schema of the step at a given index.

    Returns the output schema of the step at a given index.

    Definition Classes
    FrameStep

  33. def outbounds(index: Int): OutPort

    Definition Classes
    MultiOutputStep

  34. final def output(implicit runtime: SparkRuntime): DataFrame

    Shortcut for output(0).

    Shortcut for output(0). Computes a step output at index 0.

    Definition Classes
    Step
    Annotations
    @throws( classOf[ExecutionException] )
    Exceptions thrown
    ExecutionException

    in case of an error, or if the step is not connected.

  35. final def output(index: Int)(implicit runtime: SparkRuntime): DataFrame

    Computes a step output value at the specified index.

    Computes a step output value at the specified index.

    index

    the output value index.

    Definition Classes
    Step
    Annotations
    @throws( classOf[ExecutionException] )
    Exceptions thrown
    ExecutionException

    in case of an error, or if the step is not connected.

  36. val outputCount: Int

    The number of output ports.

    The number of output ports.

    Definition Classes
    FrameModule → Step

  37. val path: String

  38. def removeStepListener(listener: StepListener[DataFrame, SparkRuntime]): Unit

    Unregisters a listener.

    Unregisters a listener.

    Definition Classes
    Step

  39. def resetCache(predecessors: Boolean, descendants: Boolean): Unit

    Clears the cache of this step and optionally that of its predecessors and descendants.

    Clears the cache of this step and optionally that of its predecessors and descendants.

    Definition Classes
    Step

  40. def sc(implicit runtime: SparkRuntime): SparkContext

    Returns the implicit SparkContext.

    Returns the implicit SparkContext.

    Attributes
    protected
    Definition Classes
    FrameStep

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

    Definition Classes
    AnyRef

  42. def to(targets: ConnectionTarget[DataFrame, SparkRuntime]*): Unit

    Definition Classes
    MultiOutputStep

  43. def to(tgt: MultiInputStep[DataFrame, SparkRuntime]): tgt.type

    Definition Classes
    MultiOutputStep

  44. def to(tgt: ConnectionTarget[DataFrame, SparkRuntime]): tgt.type

    Definition Classes
    MultiOutputStep

  45. def toJson: JValue

    Definition Classes
    Invoke → JsonExport

  46. def toXml: Elem

    Definition Classes
    Invoke → XmlExport

  47. final def wait(): Unit

    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

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

    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

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

    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

  50. final def wrap[U](body: ⇒ U): U

    Wraps exceptions into ExecutionException instances.

    Wraps exceptions into ExecutionException instances.

    Attributes
    protected
    Definition Classes
    AbstractStep

Inherited from Product

Inherited from Equals

Inherited from FrameModule

Inherited from FrameStep

Inherited from Module[DataFrame, SparkRuntime]

Inherited from MultiOutputStep[DataFrame, SparkRuntime]

Inherited from MultiInputStep[DataFrame, SparkRuntime]

Inherited from Step[DataFrame, SparkRuntime]

Inherited from JsonExport

Inherited from XmlExport

Inherited from AbstractStep

Inherited from Serializable

Inherited from Serializable

Inherited from AnyRef

Inherited from Any

Ungrouped