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

   Definition Classes

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4.  final def asInstanceOf[T0]: T0

   Definition Classes

   Any

5.  def clone(): AnyRef

   Attributes

   protected[lang]

   Definition Classes

   AnyRef

   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]): Map[OutKey, 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

   output keys and their com.here.platform.data.processing.blobstore.Payload for each partition that contains data. Any old data for keys returned by compileOutMapping but not returned here will be automatically deleted from the catalog.

   Definition Classes

   MapGroupToRefTreeWrapper1ToN → CompileOut1ToNFn

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

   CompileOut1ToNFn → CompileOutFn

10.  def compileOutMapping(outKey: OutKey): Set[OutKey]

    Defines which output keys the compile out function will generate for a given output key of the intermediate data.

    Defines which output keys the compile out function will generate for a given output key of the intermediate data.

    outKey

    the output key in the intermediate data

    returns

    Set of output keys that will be generated. Usually should contain outKey as well, unless the compileOutFn will not generate output with that key.

    Definition Classes

    MapGroupToRefTreeWrapper1ToN → CompileOut1ToNFn

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

    Definition Classes

    AnyRef

12.  def equals(arg0: Any): Boolean

    Definition Classes

    AnyRef → Any

13.  def finalize(): Unit

    Attributes

    protected[lang]

    Definition Classes

    AnyRef

    Annotations

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

14.  val flatInLayers: Seq[(Id, Id)]

    Definition Classes

    MapGroupToRefTreeWrapperBase

15.  final def getClass(): Class[_]

    Definition Classes

    AnyRef → Any

    Annotations

    @native()

16.  def hashCode(): Int

    Definition Classes

    AnyRef → Any

    Annotations

    @native()

17.  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

18.  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

19.  final def isInstanceOf[T0]: Boolean

    Definition Classes

    Any

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

    Definition Classes

    AnyRef

21.  final def notify(): Unit

    Definition Classes

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    Annotations

    @native()

22.  final def notifyAll(): Unit

    Definition Classes

    AnyRef

    Annotations

    @native()

23.  final val outCatalogId: Id

    Identifier for the output catalog.

    Identifier for the output catalog.

    Definition Classes

    OutputLayers

24.  def outLayers: Set[Id]

    Layers to be produced by the compiler.

    Layers to be produced by the compiler.

    Definition Classes

    MapGroupToRefTreeWrapperBase → OutputLayers

25.  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

26.  def preservesPartitioning: Boolean

    Defines if all output keys generated by compileOutMapping are in the same Spark partition as the input parameter outKey.

    Defines if all output keys generated by compileOutMapping are in the same Spark partition as the input parameter outKey. This can be guaranteed by using a com.here.platform.data.processing.spark.partitioner.PartitionNamePartitioner and in this case true should be returned

    When this is set to true the result of compileOutFn will not be repartitioned, allowing a common stage with the upload functionality of the driver task.

    Definition Classes

    MapGroupToRefTreeWrapper1ToN → CompileOut1ToNFn

27.  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.

28.  val refTree: RefTree

    Definition Classes

    MapGroupToRefTreeWrapperBase

29.  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

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

    Definition Classes

    AnyRef

31.  def toString(): String

    Definition Classes

    AnyRef → Any

32.  final def wait(): Unit

    Definition Classes

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    @throws( ... )

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

    Definition Classes

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    @throws( ... )

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

    Definition Classes

    AnyRef

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    @throws( ... ) @native()