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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- IncrementalCompilerExecutor
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- 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
- abstract def id: Id
Unique identifier of the com.here.platform.data.processing.driver.Executor.
Unique identifier of the com.here.platform.data.processing.driver.Executor.
- Definition Classes
- Executor
- 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): 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
- 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): 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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- final val outCatalogId: Id
Identifier for the output catalog.
Identifier for the output catalog.
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- OutputLayers
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(Since version 9)