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com.here.platform.data.processing.driver

IncrementalCompilerExecutor

trait IncrementalCompilerExecutor extends Executor

The main interface to implement a compiler that uses the changes from the previous compilation to optimize the amount of input data to be processed, and incrementally publishes the resulting output.

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  1. IncrementalCompilerExecutor
  2. Executor
  3. OutputPartitioner
  4. OutputLayers
  5. InputPartitioner
  6. InputLayers
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Abstract Value Members

  1. abstract def execute(inData: InData, inChanges: InChanges, parallelism: Int): ToPublish

    The compile function that generates the changes to be committed incrementally to the output catalog.

    The compile function that generates the changes to be committed incrementally to the output catalog.

    inData

    The metadata of the input catalog for the layers requested. Keys are partitioned as specified in com.here.platform.data.processing.compiler.InputPartitioner.

    inChanges

    The changes of the input catalog for the layers requested. Keys are partitioned as specified in com.here.platform.data.processing.compiler.InputPartitioner.

    parallelism

    The parallelism of both the input and the output RDDs. This parameter is normally needed to get partitioners from com.here.platform.data.processing.compiler.InputPartitioner and/or from com.here.platform.data.processing.compiler.OutputPartitioner traits

    returns

    the payloads to be uploaded and committed incrementally to the output catalog. The returned keys shall be partitioned as specified in com.here.platform.data.processing.compiler.OutputPartitioner

    Note

    In case a catalog has not changed, it is not present in the changes

    ,

    please note and follow the RDD persistence policy described in com.here.platform.data.processing.driver.Executor

  2. abstract def id: Id

    Unique identifier of the com.here.platform.data.processing.driver.Executor.

    Definition Classes
    Executor
  3. 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
  4. abstract def inPartitioner(parallelism: Int): Partitioner[InKey]

    Specifies the partitioner to use when querying the input catalogs.

    Specifies the partitioner to use when querying the input catalogs.

    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 input partitioner with the parallelism specified.

    Definition Classes
    InputPartitioner
  5. abstract def outLayers: Set[Id]

    Layers to be produced by the compiler.

    Layers to be produced by the compiler.

    Definition Classes
    OutputLayers
  6. abstract def outPartitioner(parallelism: Int): 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.

    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 output partitioner with the parallelism specified.

    Definition Classes
    OutputPartitioner

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  14. final def notifyAll(): Unit
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  15. final val outCatalogId: Id

    Identifier for the output catalog.

    Identifier for the output catalog.

    Definition Classes
    OutputLayers
  16. final def synchronized[T0](arg0: ⇒ T0): T0
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  17. def toString(): String
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  18. final def wait(): Unit
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Inherited from Executor

Inherited from OutputPartitioner

Inherited from OutputLayers

Inherited from InputPartitioner

Inherited from InputLayers

Inherited from AnyRef

Inherited from Any

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