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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
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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 driver
Definition Classes
processing
package deltasets
Definition Classes
driver
package transformations
Definition Classes
deltasets
BaseSet
BaseSetIdAssigner
CanDetermine
CannotDetermine
Changes
Commits
DeltaContext
DeltaSet
DeltaSetConfig
Determine
KeyValues
Keys
ManyToMany
ManyToOne
NoChanges
NoCommits
OneToMany
OneToOne
PartMapperByLevel
PartitioningStrategy
PreservesPartitioning
PublishedPart
PublishedPartMapper
PublishedSet
PublishedSetLike
RequiresRepartitioning
ResolutionStrategy
Resolver
SomeChanges
SomeCommits
StateManager
Transformations

com.here.platform.data.processing.driver.deltasets

OneToOne

Companion class OneToOne

object OneToOne extends Serializable

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final def !=(arg0: Any): Boolean
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final def ##: Int
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def apply[S, T](mapFn: (S) => T, inverseFn: PartialFunction[T, S]): OneToOne[S, T]
Represents a 1-to-1 relation by pairing a function mapFn with its inverse function inverseFn.
Represents a 1-to-1 relation by pairing a function mapFn with its inverse function inverseFn. If the function represented by this class is applied to a value for which inverseFn is not the inverse of mapFn, an exception is thrown.
Note that inverseFn can be called by the Data Processing Library on values that are not produced by mapFn. Define inverseFn as a partial function to correctly restrict its domain to the set of keys, for which an inverse can be defined.
mapFn
The mapping function.
inverseFn
The inverse of the mapping function.
final def asInstanceOf[T0]: T0
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def hashCode(): Int
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final def synchronized[T0](arg0: => T0): T0
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def toGeneric(catalog: Id, layer: Id): OneToOne[Key, Generic]
Builds a OneToOne relation that maps com.here.platform.data.processing.catalog.Partition.Keys of a given catalog's layer into their com.here.platform.data.processing.catalog.Partition.Generic name.
Builds a OneToOne relation that maps com.here.platform.data.processing.catalog.Partition.Keys of a given catalog's layer into their com.here.platform.data.processing.catalog.Partition.Generic name. It only works for generic layers. It fails at runtime if called with keys containing com.here.platform.data.processing.catalog.Partition.HereTile names.
catalog
The catalog ID.
layer
The layer ID.
returns
The 1-to-1 relation.
def toHereTile(catalog: Id, layer: Id): OneToOne[Key, HereTile]
Builds a OneToOne relation that maps com.here.platform.data.processing.catalog.Partition.Keys of a given catalog's layer into their com.here.platform.data.processing.catalog.Partition.HereTile name.
Builds a OneToOne relation that maps com.here.platform.data.processing.catalog.Partition.Keys of a given catalog's layer into their com.here.platform.data.processing.catalog.Partition.HereTile name. It only works for heretile layers. It fails at runtime if called with keys containing com.here.platform.data.processing.catalog.Partition.Generic names.
catalog
The catalog ID.
layer
The layer ID.
returns
The 1-to-1 relation.
def toName(catalog: Id, layer: Id): OneToOne[Key, Name]
Builds a OneToOne relation that maps com.here.platform.data.processing.catalog.Partition.Keys of a given catalog's layer into their com.here.platform.data.processing.catalog.Partition.Name.
Builds a OneToOne relation that maps com.here.platform.data.processing.catalog.Partition.Keys of a given catalog's layer into their com.here.platform.data.processing.catalog.Partition.Name.
catalog
The catalog ID.
layer
The layer ID.
returns
The 1-to-1 relation.
def toPartitionKey[Name <: Name](catalog: Id, layer: Id)(implicit arg0: ClassTag[Name]): OneToOne[Name, Key]
Builds a OneToOne relation that maps com.here.platform.data.processing.catalog.Partition.Names into com.here.platform.data.processing.catalog.Partition.Keys of a given catalog and layer.
Builds a OneToOne relation that maps com.here.platform.data.processing.catalog.Partition.Names into com.here.platform.data.processing.catalog.Partition.Keys of a given catalog and layer.
Name
The partition name type.
catalog
The catalog ID.
layer
The layer ID.
returns
The 1-to-1 relation.
def toString(): String
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final def wait(arg0: Long, arg1: Int): Unit
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Deprecated
(Since version 9)

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OneToOne

Companion class OneToOne

object OneToOne extends Serializable

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OneToOne

Companion class OneToOne

object OneToOne extends Serializable

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OneToOne