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package root

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root
package com

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root
package here

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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.
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 publisher

Definition Classes
processing
DataPublisher
FullPublishingMode
IncrementalPublishingMode
NonEmptyPublishingAction
Publisher
PublishingAction
PublishingMode

com.here.platform.data.processing.publisher

PublishingMode

Companion object PublishingMode

trait PublishingMode extends AnyRef

Represent a policy to publish payloads to a catalog.

Linear Supertypes

AnyRef, Any

Known Subclasses

FullPublishingMode, IncrementalPublishingMode

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abstract def join(candidates: RDD[(Key, Option[DigestedPayload])], current: RDD[(Key, Meta)]): RDD[(Key, (Candidate, Option[Meta]))]
Joins the candidate data and the current data.
Joins the candidate data and the current data.
candidates
Candidate payloads.
current
Metadata currently published in the output catalog.
returns
joined data.

Attributes
protected
abstract def rebaseJoin(candidates: RDD[(Key, Option[DigestedPayload])], current: RDD[(Key, Meta)], baseChanges: RDD[(Key, Change)]): RDD[(Key, (Candidate, Option[Meta], Option[Change]))]
Joins the candidate data, the current data and the base changes in case of rebase scenarios.
Joins the candidate data, the current data and the base changes in case of rebase scenarios.
candidates
Candidate payloads.
current
Metadata currently published in the output catalog.
baseChanges
Metadata changes inherited from the base catalog.
returns
joined data.

Attributes
protected

Concrete Value Members

final def !=(arg0: Any): Boolean

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final def correlate(current: RDD[(Key, Meta)], candidates: RDD[(Key, Option[Payload])], baseChanges: Option[RDD[(Key, Change)]], digests: Map[Id, Digest], statistics: Option[Map[Id, PublisherStats]] = None): RDD[(Key, NonEmptyPublishingAction)]
Correlates metadata of what is already published in the output catalog with candidate com.here.platform.data.processing.blobstore.Payloads to be published, discard data that hasn't changed and return what has to be uploaded or deleted.
Correlates metadata of what is already published in the output catalog with candidate com.here.platform.data.processing.blobstore.Payloads to be published, discard data that hasn't changed and return what has to be uploaded or deleted.
current
Metadata currently published in the output catalog.
candidates
Candidate payloads.
baseChanges
Metadata changes inherited from the base catalog.
digests
Digest objects to compute the checksum of the payloads based on the layer.
statistics
Statistic per layer to be updated.
returns
The publishing actions.

See also
com.here.platform.data.processing.publisher.PublishingAction.
final def eq(arg0: AnyRef): Boolean

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PublishingMode

Companion object PublishingMode

trait PublishingMode extends AnyRef

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PublishingMode 

Companion object PublishingMode

trait PublishingMode extends AnyRef

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PublishingMode