com.here.platform.data.processing.java.impl.compiler
WrapperMapGroupCompiler
Companion object WrapperMapGroupCompiler
trait WrapperMapGroupCompiler[T, W <: MapGroupCompiler[T]] extends MapGroupCompiler[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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- WrapperMapGroupCompiler
- WrapperCompileOutFn
- WrapperOutputOptPartitioner
- WrapperOutputLayers
- WrapperCompileInFn
- WrapperInputOptPartitioner
- WrapperInputLayers
- Wrapper
- MapGroupCompiler
- CompileOutFn
- OutputOptPartitioner
- OutputLayers
- CompileInFn
- Serializable
- InputOptPartitioner
- InputLayers
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- 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
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- @throws(classOf[java.lang.CloneNotSupportedException]) @IntrinsicCandidate() @native()
- def compileInFn(in: (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
- returns
all the impacted output partitions com.here.platform.data.processing.compiler.OutKey and intermediate data of type
Tfor 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
- WrapperCompileInFn → CompileInFn
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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
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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
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- def finalize(): Unit
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- Deprecated
(Since version 9)