Value Members

1.  final def !=(arg0: Any): Boolean

   Definition Classes

   AnyRef → Any

2.  final def ##(): Int

   Definition Classes

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3.  final def ==(arg0: Any): Boolean

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4.  final def asInstanceOf[T0]: T0

   Definition Classes

   Any

5.  def clone(): AnyRef

   Attributes

   protected[lang]

   Definition Classes

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   Annotations

   @throws( ... ) @native()

6.  def compileInFn(in: (InKey, InMeta), refs: Map[InKey, InMeta]): Iterable[(OutKey, T)]

   Calculates the dependent output partitions and intermediate results from a single input partition.

   Calculates the dependent output partitions and intermediate results from a single input partition.

   in

   the input partition to process

   refs

   All references that are required to process the input partition

   returns

   All the impacted output partitions com.here.platform.data.processing.compiler.OutKey and intermediate data of type T for this partition. It may contain more than one element per output key. compileOutFn will only be called for outKeys which have at least one intermediate value from this phase. Other outKeys will be automatically deleted.

   Definition Classes

   MapGroupToRefTreeWrapperBase → CompileInFnWithRefs

7.  final val compileInFnDefined: Unit

   Must be overridden as final by all subclasses, to block the mixin of different interfaces in the same compiler class.

   Must be overridden as final by all subclasses, to block the mixin of different interfaces in the same compiler class.

   Definition Classes

   CompileInFnWithRefs

8.  def compileOutFn(outKey: OutKey, intermediate: Iterable[T]): Option[Payload]

   Compiles a single output partition.

   Compiles a single output partition.

   outKey

   the key of the output partition to generate

   intermediate

   non-empty scala.Iterable of intermediate data as provided by compileInFn which is required to compile the output partition. This collection will have multiple entries of the same value in case the same value was returned for this outKey by multiple compileInFn executions (for different input keys). outKeys which do not have any intermediate values assigned from the compileInFn calls get deleted automatically.

   returns

   scala.Option of com.here.platform.data.processing.blobstore.Payload, this method is to return exactly one element, with the same values for the output key as passed in outKey. either the partition content, or None if there is no data to be published.

   Definition Classes

   MapGroupToRefTreeWrapper1To1 → CompileOut1To1Fn

9.  final def compileOutFnDefined(): Unit

   Must be overridden as final by all subclasses, to block the mixin of different interfaces in the same compiler class and to assure that at least one child interface is mixed in.

   Must be overridden as final by all subclasses, to block the mixin of different interfaces in the same compiler class and to assure that at least one child interface is mixed in.

   Attributes

   protected

   Definition Classes

   CompileOut1To1Fn → CompileOutFn

10.  final def eq(arg0: AnyRef): Boolean

    Definition Classes

    AnyRef

11.  def equals(arg0: Any): Boolean

    Definition Classes

    AnyRef → Any

12.  def finalize(): Unit

    Attributes

    protected[lang]

    Definition Classes

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    Annotations

    @throws( classOf[java.lang.Throwable] )

13.  val flatInLayers: Seq[(Id, Id)]

    Definition Classes

    MapGroupToRefTreeWrapperBase

14.  final def getClass(): Class[_]

    Definition Classes

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    Annotations

    @native()

15.  def hashCode(): Int

    Definition Classes

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    Annotations

    @native()

16.  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

    MapGroupToRefTreeWrapperBase → InputLayers

17.  def inPartitioner(parallelism: Int): Option[Partitioner[InKey]]

    Specifies the partitioner to use when querying the input catalogs.

    Specifies the partitioner to use when querying the input catalogs. If no partitioner is provided, by returning None from this function, then the Executor uses the default partitioner.

    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 optional input partitioner with the parallelism specified.

    Definition Classes

    MapGroupToRefTreeWrapperBase → InputOptPartitioner

18.  final def isInstanceOf[T0]: Boolean

    Definition Classes

    Any

19.  final def ne(arg0: AnyRef): Boolean

    Definition Classes

    AnyRef

20.  final def notify(): Unit

    Definition Classes

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    Annotations

    @native()

21.  final def notifyAll(): Unit

    Definition Classes

    AnyRef

    Annotations

    @native()

22.  final val outCatalogId: Id

    Identifier for the output catalog.

    Identifier for the output catalog.

    Definition Classes

    OutputLayers

23.  def outLayers: Set[Id]

    Layers to be produced by the compiler.

    Layers to be produced by the compiler.

    Definition Classes

    MapGroupToRefTreeWrapperBase → OutputLayers

24.  def outPartitioner(parallelism: Int): Option[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. If no partitioner is provided, by returning None from this function, then the Executor uses the default partitioner.

    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 optional output partitioner with the parallelism specified.

    Definition Classes

    MapGroupToRefTreeWrapperBase → OutputOptPartitioner

25.  def refStructure: RefTree

    The refStructure defines the maximum reference tree of the source layers.

    The refStructure defines the maximum reference tree of the source layers.

    Definition Classes

    MapGroupToRefTreeWrapperBase → RefTreeCompiler

    See also

    com.here.platform.data.processing.compiler.reftree.RefTree for details.

26.  val refTree: RefTree

    Definition Classes

    MapGroupToRefTreeWrapperBase

27.  def resolveFn(src: (InKey, InMeta)): Map[RefName, Set[InKey]]

    Resolves the list of partitions in all the reference target layers based on the a source partition.

    Resolves the list of partitions in all the reference target layers based on the a source partition. The returned com.here.platform.data.processing.compiler.reftree.RefTree.RefName values for the references must be aligned with the values in the com.here.platform.data.processing.compiler.RefTreeCompiler.refStructure.

    src

    the source partition key and metadata

    Definition Classes

    MapGroupToRefTreeWrapperBase → ResolveInFn

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

    Definition Classes

    AnyRef

29.  def toString(): String

    Definition Classes

    AnyRef → Any

30.  final def wait(): Unit

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    @throws( ... )

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

    Definition Classes

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    @throws( ... )

32.  final def wait(arg0: Long): Unit

    Definition Classes

    AnyRef

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    @throws( ... ) @native()