Packages

c

com.here.platform.data.processing.java.impl.compiler

ConcreteNonIncrementalCompiler

final class ConcreteNonIncrementalCompiler[W <: NonIncrementalCompiler] extends NonIncrementalCompilerWrapper[W]

Ordering
  1. Alphabetic
  2. By Inheritance
Inherited
  1. ConcreteNonIncrementalCompiler
  2. NonIncrementalCompilerWrapper
  3. OutputPartitionerWrapper
  4. WrapperOutputLayers
  5. InputPartitionerWrapper
  6. WrapperInputLayers
  7. Wrapper
  8. NonIncrementalCompiler
  9. OutputPartitioner
  10. OutputLayers
  11. InputPartitioner
  12. InputLayers
  13. AnyRef
  14. Any
  1. Hide All
  2. Show All
Visibility
  1. Public
  2. All

Instance Constructors

  1. new ConcreteNonIncrementalCompiler(impl: W)

Value Members

  1. final def !=(arg0: Any): Boolean
    Definition Classes
    AnyRef → Any
  2. final def ##(): Int
    Definition Classes
    AnyRef → Any
  3. final def ==(arg0: Any): Boolean
    Definition Classes
    AnyRef → Any
  4. final def asInstanceOf[T0]: T0
    Definition Classes
    Any
  5. def clone(): AnyRef
    Attributes
    protected[lang]
    Definition Classes
    AnyRef
    Annotations
    @throws( ... ) @native()
  6. def compile(toCompileScala: InData, parallelism: Int): ToPublish

    Compiles partitions and returns actual compiled data, if any.

    Compiles partitions and returns actual compiled data, if any.

    parallelism

    the parallelism of both the input and the output RDDs. This parameter is normally needed to get partitioners from com.here.platform.data.processing.compiler.InputOptPartitioner and/or from com.here.platform.data.processing.compiler.OutputOptPartitioner traits

    returns

    com.here.platform.data.processing.compiler.OutKey is the key of compiled partition. com.here.platform.data.processing.blobstore.Payload is the output data, if any The returned keys shall be partitioned as specified in com.here.platform.data.processing.compiler.OutputPartitioner

    Definition Classes
    ConcreteNonIncrementalCompilerNonIncrementalCompiler
    Note

    please note and follow the RDD persistence policy described in com.here.platform.data.processing.driver.Executor

  7. final def eq(arg0: AnyRef): Boolean
    Definition Classes
    AnyRef
  8. def equals(o: Any): Boolean
    Definition Classes
    Wrapper → AnyRef → Any
  9. def finalize(): Unit
    Attributes
    protected[lang]
    Definition Classes
    AnyRef
    Annotations
    @throws( classOf[java.lang.Throwable] )
  10. final def getClass(): Class[_]
    Definition Classes
    AnyRef → Any
    Annotations
    @native()
  11. def hashCode(): Int
    Definition Classes
    Wrapper → AnyRef → Any
  12. val impl: W
  13. def inLayers: Map[Id, Set[Id]]

    Represents layers of the input catalogs that you should query and provide to the compiler.

    Represents layers of the input catalogs that you should query and provide to the compiler. These layers are grouped by input catalog and identified by catalog ID and layer ID.

    Definition Classes
    WrapperInputLayersInputLayers
  14. def inPartitioner(parallelism: Int): Partitioner[InKey]

    Specifies the partitioner to use when querying the input catalogs.

    Specifies the partitioner to use when querying the input catalogs.

    parallelism

    The number of partitions the partitioner should partition the catalog into, this should match the parallelism of the Spark RDD containing the input partitions.

    returns

    The input partitioner with the parallelism specified.

    Definition Classes
    InputPartitionerWrapperInputPartitioner
  15. final def isInstanceOf[T0]: Boolean
    Definition Classes
    Any
  16. final def ne(arg0: AnyRef): Boolean
    Definition Classes
    AnyRef
  17. final def notify(): Unit
    Definition Classes
    AnyRef
    Annotations
    @native()
  18. final def notifyAll(): Unit
    Definition Classes
    AnyRef
    Annotations
    @native()
  19. final val outCatalogId: Id

    Identifier for the output catalog.

    Identifier for the output catalog.

    Definition Classes
    OutputLayers
  20. def outLayers: Set[Id]

    Layers to be produced by the compiler.

    Layers to be produced by the compiler.

    Definition Classes
    WrapperOutputLayersOutputLayers
  21. def outPartitioner(parallelism: Int): Partitioner[OutKey]

    Specifies the partitioner to use when querying the output catalog and producing output data.

    Specifies the partitioner to use when querying the output catalog and producing output data.

    parallelism

    The number of partitions the partitioner should partition the catalog into, this should match the parallelism of the Spark RDD containing the output partitions.

    returns

    The output partitioner with the parallelism specified.

    Definition Classes
    OutputPartitionerWrapperOutputPartitioner
  22. final def synchronized[T0](arg0: ⇒ T0): T0
    Definition Classes
    AnyRef
  23. def toString(): String
    Definition Classes
    Wrapper → AnyRef → Any
  24. final def wait(): Unit
    Definition Classes
    AnyRef
    Annotations
    @throws( ... )
  25. final def wait(arg0: Long, arg1: Int): Unit
    Definition Classes
    AnyRef
    Annotations
    @throws( ... )
  26. final def wait(arg0: Long): Unit
    Definition Classes
    AnyRef
    Annotations
    @throws( ... ) @native()

Inherited from NonIncrementalCompilerWrapper[W]

Inherited from OutputPartitionerWrapper[W]

Inherited from WrapperOutputLayers[W]

Inherited from InputPartitionerWrapper[W]

Inherited from WrapperInputLayers[W]

Inherited from Wrapper[W]

Inherited from NonIncrementalCompiler

Inherited from OutputPartitioner

Inherited from OutputLayers

Inherited from InputPartitioner

Inherited from InputLayers

Inherited from AnyRef

Inherited from Any

Ungrouped