com.here.platform.data.processing.java.impl.compiler
WrapperDirectMToNCompiler
Companion object WrapperDirectMToNCompiler
trait WrapperDirectMToNCompiler[T, W <: DirectMToNCompiler[T]] extends DirectMToNCompiler[T] with WrapperInputLayers[W] with WrapperInputOptPartitioner[W] with WrapperCompileInFn[T, W] with WrapperOutputLayers[W] with WrapperOutputOptPartitioner[W] with WrapperCompileOutFn[T, W]
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- WrapperDirectMToNCompiler
- WrapperCompileOutFn
- WrapperOutputOptPartitioner
- WrapperOutputLayers
- WrapperCompileInFn
- WrapperInputOptPartitioner
- WrapperInputLayers
- Wrapper
- DirectMToNCompiler
- CompileOutFn
- OutputOptPartitioner
- OutputLayers
- CompileInFn
- Serializable
- InputOptPartitioner
- InputLayers
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Abstract Value Members
- abstract 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.
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- CompileOutFn
- abstract def impl: W
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- Wrapper
Concrete Value Members
- final def !=(arg0: Any): Boolean
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- @throws(classOf[java.lang.CloneNotSupportedException]) @IntrinsicCandidate() @native()
- def compileInFn(in: (InKey, InMeta)): T
Calculates the intermediate result from a single input partition.
Calculates the intermediate result from a single input partition. The result will be provided together with the input key in the com.here.platform.data.processing.compiler.direct.CompileOutFn.
- in
the input partition to process
- returns
the value of intermediate data of type
Tfor this partition. This value will be passed in com.here.platform.data.processing.compiler.direct.CompileOutFn to all output keys impacted by the in partition.
- Definition Classes
- WrapperCompileInFn → CompileInFn
- final def eq(arg0: AnyRef): Boolean
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- def equals(o: Any): Boolean
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- final def getClass(): Class[_ <: AnyRef]
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- def hashCode(): Int
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- Wrapper → AnyRef → Any
- 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
- WrapperInputLayers → InputLayers
- 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
- WrapperInputOptPartitioner → InputOptPartitioner
- final def isInstanceOf[T0]: Boolean
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- def mappingFn(inKey: InKey): Iterable[OutKey]
Calculates which output partitions, if any, are affected by the given single input partition.
Calculates which output partitions, if any, are affected by the given single input partition. The mapping must be function of only the input com.here.platform.data.processing.compiler.InKey.
The metadata is intentionally not provided, because the result of this call cannot be function of the metadata and therefore the data. This is because the direct.CompileInFn implementation does not perform a stateful dependency-tracking for incremental compilation. If the function would use additional information from the tile content, it would break incremental compilation use case.
- inKey
the input partition being mapped
- returns
the output partitions that the given input partition maps to
- Definition Classes
- WrapperCompileInFn → CompileInFn
- final def ne(arg0: AnyRef): Boolean
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- final def notify(): Unit
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- final val outCatalogId: Id
Identifier for the output catalog.
Identifier for the output catalog.
- Definition Classes
- OutputLayers
- def outLayers: Set[Id]
Layers to be produced by the compiler.
Layers to be produced by the compiler.
- Definition Classes
- WrapperOutputLayers → OutputLayers
- 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
- WrapperOutputOptPartitioner → OutputOptPartitioner
- final def synchronized[T0](arg0: => T0): T0
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- def toString(): String
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- final def wait(arg0: Long, arg1: Int): Unit
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- def finalize(): Unit
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- @throws(classOf[java.lang.Throwable]) @Deprecated
- Deprecated
(Since version 9)