trait Direct1ToNCompiler[T] extends InputLayers with InputOptPartitioner with CompileInFn[T] with OutputLayers with OutputOptPartitioner with compiler.direct.CompileOutFn[T]
This compiler allows a stateless incremental compilation, in the case the keys of output partitions are a function of the input keys only, so where the input/output mapping does not depend on the input content but only on the input keys.
This compiler is applicable only when each output partition is affected by one single input partition. This is restriction enforced but allows a very efficient implementation of the incremental compilation case. The limitation is on the output side only: one input partition may be mapped to zero, one or more output partitions but each output partition can be mapped to by one input partition only, without overlaps.
In case multiple input partitions may affect the same output partition, the DirectMToNCompiler should be used instead.
- T
the type of the values passed between front-end and back-end
- Note
the implementation must be scala.Serializable as this is copied to workers and run inside Spark map functions
- See also
traits mixed in for more details
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- Direct1ToNCompiler
- CompileOutFn
- OutputOptPartitioner
- OutputLayers
- CompileInFn
- Serializable
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- InputOptPartitioner
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abstract
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
- CompileInFn
-
abstract
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
- CompileOutFn
-
abstract
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
- InputLayers
-
abstract
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
- InputOptPartitioner
-
abstract
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
- CompileInFn
-
abstract
def
outLayers: Set[Id]
Layers to be produced by the compiler.
Layers to be produced by the compiler.
- Definition Classes
- OutputLayers
-
abstract
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
- OutputOptPartitioner
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val
outCatalogId: Id
Identifier for the output catalog.
Identifier for the output catalog.
- Definition Classes
- OutputLayers
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