class ConcreteDirect1ToNCompiler[T, W <: Direct1ToNCompiler[T]] extends WrapperDirect1ToNCompiler[T, W]
- Alphabetic
- By Inheritance
- ConcreteDirect1ToNCompiler
- WrapperDirect1ToNCompiler
- WrapperCompileOutFn
- WrapperOutputOptPartitioner
- WrapperOutputLayers
- WrapperCompileInFn
- WrapperInputOptPartitioner
- WrapperInputLayers
- Wrapper
- Direct1ToNCompiler
- CompileOutFn
- OutputOptPartitioner
- OutputLayers
- CompileInFn
- Serializable
- InputOptPartitioner
- InputLayers
- AnyRef
- Any
- Hide All
- Show All
- Public
- Protected
Instance Constructors
- new ConcreteDirect1ToNCompiler(impl: W)
Value Members
- final def !=(arg0: Any): Boolean
- Definition Classes
- AnyRef → Any
- final def ##: Int
- Definition Classes
- AnyRef → Any
- final def ==(arg0: Any): Boolean
- Definition Classes
- AnyRef → Any
- final def asInstanceOf[T0]: T0
- Definition Classes
- Any
- def clone(): AnyRef
- Attributes
- protected[lang]
- Definition Classes
- AnyRef
- Annotations
- @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
- def compileOutFn(outKey: OutKey, intermediate: T): Option[Payload]
Compiles a single output partition from intermediate data of a single input partition.
Compiles a single output partition from intermediate data of a single input partition. This function will only be called for output keys that were returned in com.here.platform.data.processing.compiler.direct.CompileInFn.
Output keys which are no longer mapped to the mapping function calls, for example due to deleted input partitions in incremental processing, get deleted automatically.
- outKey
Key of the output partition to generate
- intermediate
Intermediate value calculated by com.here.platform.data.processing.compiler.direct.CompileInFn.compileInFn for the input partition that was mapped to this output key
- returns
scala.Options of com.here.platform.data.processing.blobstore.Payload, with either the partition content, or None if there is no data to be published.
- Definition Classes
- WrapperCompileOutFn → CompileOutFn
- final def eq(arg0: AnyRef): Boolean
- Definition Classes
- AnyRef
- def equals(o: Any): Boolean
- Definition Classes
- Wrapper → AnyRef → Any
- final def getClass(): Class[_ <: AnyRef]
- Definition Classes
- AnyRef → Any
- Annotations
- @IntrinsicCandidate() @native()
- def hashCode(): Int
- Definition Classes
- Wrapper → AnyRef → Any
- val impl: W
- Definition Classes
- ConcreteDirect1ToNCompiler → Wrapper
- 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
- Definition Classes
- Any
- 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
- Definition Classes
- AnyRef
- final def notify(): Unit
- Definition Classes
- AnyRef
- Annotations
- @IntrinsicCandidate() @native()
- final def notifyAll(): Unit
- Definition Classes
- AnyRef
- Annotations
- @IntrinsicCandidate() @native()
- 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
- Definition Classes
- AnyRef
- def toString(): String
- Definition Classes
- Wrapper → AnyRef → Any
- final def wait(arg0: Long, arg1: Int): Unit
- Definition Classes
- AnyRef
- Annotations
- @throws(classOf[java.lang.InterruptedException])
- final def wait(arg0: Long): Unit
- Definition Classes
- AnyRef
- Annotations
- @throws(classOf[java.lang.InterruptedException]) @native()
- final def wait(): Unit
- Definition Classes
- AnyRef
- Annotations
- @throws(classOf[java.lang.InterruptedException])
Deprecated Value Members
- def finalize(): Unit
- Attributes
- protected[lang]
- Definition Classes
- AnyRef
- Annotations
- @throws(classOf[java.lang.Throwable]) @Deprecated
- Deprecated
(Since version 9)