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package root

Definition Classes: root

package com

Definition Classes: root

package here

Definition Classes: com

package platform

Definition Classes: here

package data

Definition Classes: platform

package processing

This package provides the Data Processing Library for building distributed data processing applications.

A Runner both implements the interface with the environment for an application to run, and starts the application. The application, in turn, is driven by a Driver, that controls and performs the distributed processing.

Choose a Runner best suited for the environment where the application runs.

The Driver performs one of more tasks which read layers from input catalogs and write to one or more layers of an output catalog.

The main entry point in the processing library is the com.here.platform.data.processing.driver.DriverBuilder class where you can add different kinds of tasks to the driver. The driver runs the tasks, and commits the final results to the output catalog.

Tasks are implemented using one or more compilers.

The simplest compiler is the direct compiler which maps each input tile to N output tiles. The application needs to define com.here.platform.data.processing.compiler.Direct1ToNCompiler.

Other more complex compilation patterns are based on some kind of dependency tracking between input partitions and output partitions.

The processing Library supports the following patterns:

- com.here.platform.data.processing.compiler.NonIncrementalCompiler: non-incremental compilation only - com.here.platform.data.processing.compiler.DepCompiler: non-incremental dependency calculation and incremental compilation - com.here.platform.data.processing.compiler.IncrementalDepCompiler: incremental dependency calculation and compilation - com.here.platform.data.processing.compiler.Direct1ToNCompiler: incremental compilation where every output tile depends only on one input tile, and this mapping is independent from tile content - com.here.platform.data.processing.compiler.DirectMToNCompiler: incremental compilation where every output tile depends on multiple input tiles, and this mapping is independent from tile content - com.here.platform.data.processing.compiler.MapGroupCompiler: incremental compilation where every output tile can depend on multiple input tiles, and this mapping depend on the tile content - com.here.platform.data.processing.compiler.RefTreeCompiler: fully-managed two phases incremental compilation that can resolve references between input partitions. Input/Output dependency management is implemented and the developer doesn't need to provide this logic

The application's main object normally mixes in the a runner trait (like PipelineRunner) to setup the Driver, and interfaces with the environment where the application is run. See the Main classes in the example compilers for more details.

com.here.platform.data.processing.catalog, com.here.platform.data.processing.blobstore, and com.here.platform.data.processing.publisher contain utilities for accessing catalogs and payloads in a Spark-friendly way, providing an RDD-based abstraction over data and metadata. These classes are used by the processing library, but can also be used independently.

Definition Classes: data

package validation

Definition Classes: processing

object Transformations

Set of implicit transformations added to com.here.platform.data.processing.driver.deltasets.DeltaSets.

To enable them, you have to add an implicit com.here.platform.data.processing.driver.deltasets.DeltaContext in your scope.

Definition Classes: validation

BaseAggregateTransformation

GenericAggregateTransformation

GenericAggregatorMapper

HereTileAggregateTransformation

MetricsAssessment

MetricsSequenceAssessment

MultiPartBaseAggregateTransformation

MultiPartHereTileAggregateTransformation

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com.here.platform.data.processing.validation.Transformations

MultiPartBaseAggregateTransformation

implicit class MultiPartBaseAggregateTransformation[K <: Name] extends AnyRef

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new MultiPartBaseAggregateTransformation(deltaSets: Map[Int, DeltaSet[K, Map[Id, Payload]]])(implicit arg0: Ordering[K], arg1: ClassTag[K])

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def publishAndAggregate(outLayers: Set[Id], metricsLayer: Id, mapper: PublishedPartMapper, parts: Seq[Int], ancestorFn: (K) ⇒ K, aggregateNamespace: Id = "aggregateMetrics")(implicit deltaContext: DeltaContext, metricsSerializer: Serializer[Metrics], metricsDeserializer: Deserializer[Metrics]): (PublishedSet, DeltaSet[Key, Metrics])
Publishes the reports and metrics encoded in a map of com.here.platform.data.processing.driver.deltasets.DeltaSets indexed by part number, with respect to a user provided com.here.platform.data.processing.driver.deltasets.PublishedPartMapper, and recursively aggregates the metrics using the same com.here.platform.data.processing.driver.deltasets.PublishedPartMapper.
Publishes the reports and metrics encoded in a map of com.here.platform.data.processing.driver.deltasets.DeltaSets indexed by part number, with respect to a user provided com.here.platform.data.processing.driver.deltasets.PublishedPartMapper, and recursively aggregates the metrics using the same com.here.platform.data.processing.driver.deltasets.PublishedPartMapper.
outLayers
All output layers, including the suite report layers and the metrics layer.
metricsLayer
The metrics layer.
mapper
The com.here.platform.data.processing.driver.deltasets.PublishedPartMapper to map each partition to its corresponding aggregation level part.
parts
The sequence of part numbers, starting from the lowest level part, that this deltaset belongs to, up to a fully aggregated single partition.
ancestorFn
Function that given a partition name returns its ancestor, that is the partition name of the corresponding aggregated partition.
aggregateNamespace
Deltaset namespace used in the aggregation transformations.
deltaContext
The deltaset context.
metricsSerializer
The Metrics Serialization.Serializer.
metricsDeserializer
The Metrics Serialization.Deserializer.
returns
a tuple containing the published set and a deltaset containing the fully aggregated metrics partition.
final def synchronized[T0](arg0: ⇒ T0): T0

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