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package com

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package here

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package platform

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here
package data

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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
Publisher
PublishingMode

com.here.platform.data.processing.publisher

Publisher

class Publisher extends AnyRef

Publishes payloads, in the form of an RDD of com.here.platform.data.processing.catalog.Partition.Key and com.here.platform.data.processing.blobstore.Payload, to the Blob API and returns RDD of com.here.platform.data.processing.catalog.Partition.Commit to be committed to the Metadata API.

Note: both the full snapshot and the incremental one are implemented here the difference is mainly in the filtering strategy adopted
,
metadata related to the published payloads need to be committed in a subsequent operation

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new Publisher(uploader: Uploader, numThreads: Int, uniquePartitionLimitInBytes: Int, statistics: Option[Map[Id, PublisherStats]] = None)
Creates a new publisher.
Creates a new publisher.
uploader
The com.here.platform.data.processing.blobstore.Uploader object.
numThreads
The number of uploads to perform in parallel.
statistics
The optional statistics counters.

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val dataPublisher: DataPublisher
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def publishFullSnapshot(current: RDD[(Key, Meta)], candidates: RDD[(Key, Option[Payload])]): RDD[(Key, Commit)]
Publishes a full snapshot of data.
Publishes a full snapshot of data.
current
The RDD containing the catalog's current status.
candidates
the RDD containing the candidate operations to upload.
returns
the metadata RDD that were already published but not yet committed.

Note
Candidate operations are potential operations that can be done, depending on the status of the catalog. These operations depend on whether there is duplicated content or not, as duplicated content do not have to be published. This function deletes content in the current RDD that is not present in the candidates' RDD.
def publishIncrementalSnapshot(current: RDD[(Key, Meta)], candidates: RDD[(Key, Option[Payload])]): RDD[(Key, Commit)]
Publishes an increment snapshot of data.
Publishes an increment snapshot of data.
current
The RDD containing the catalog's current status.
candidates
the RDD containing the candidate operations to upload.
returns
the metadata RDD that were already published but not yet committed.

Note
Candidate operations are potential operations that can be done, depending on the status of the catalog. These operations depend on whether there is duplicated content or not, as duplicated content do not have to be published.
final def synchronized[T0](arg0: ⇒ T0): T0

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Publisher

class Publisher extends AnyRef

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class Publisher extends AnyRef

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Publisher