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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.
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 compiler

Definition Classes
processing
package direct

Definition Classes
compiler
package mapgroup

Definition Classes
compiler
package reftree

Definition Classes
compiler
CompileOut1To1Fn
CompileOut1ToNFn
CompileOutFn
CompileOutLayerStackFn
DepCompiler
DepCompilerBase
Direct1ToNCompiler
DirectMToNCompiler
IncrementalDepCompiler
InputLayers
InputOptPartitioner
InputPartitioner
MapGroupCompiler
NonIncrementalCompiler
OutputLayers
OutputOptPartitioner
OutputPartitioner
RefTreeCompiler

com.here.platform.data.processing.compiler

NonIncrementalCompiler

trait NonIncrementalCompiler extends InputLayers with InputPartitioner with OutputLayers with OutputPartitioner

The simplest interface that an actual compiler can implement. This leaves the maximum flexibility to the compiler implementors, but has no support for incremental compilation.

See also: traits mixed in for more details

Linear Supertypes

OutputPartitioner, OutputLayers, InputPartitioner, InputLayers, AnyRef, Any

Known Subclasses

ConcreteNonIncrementalCompiler, NonIncrementalCompilerWrapper

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NonIncrementalCompiler
OutputPartitioner
OutputLayers
InputPartitioner
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Abstract Value Members

abstract def compile(toCompile: InData, parallelism: Int): ToPublish
Compiles partitions and returns actual compiled data, if any.
Compiles partitions and returns actual compiled data, if any.
toCompile
the complete input metadata for the layer 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.InputOptPartitioner and/or from com.here.platform.data.processing.compiler.OutputOptPartitioner traits
returns
com.here.platform.data.processing.compiler.OutKey is the key of compiled partition. com.here.platform.data.processing.blobstore.Payload is the output data, if any The returned keys shall be partitioned as specified in com.here.platform.data.processing.compiler.OutputPartitioner

Note
please note and follow the RDD persistence policy described in com.here.platform.data.processing.driver.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

Concrete Value Members

final def !=(arg0: Any): Boolean

Definition Classes
AnyRef → Any
final def ##(): Int

Definition Classes
AnyRef → Any
final def ==(arg0: Any): Boolean

Definition Classes
AnyRef → Any
final def asInstanceOf[T0]: T0

Definition Classes
Any
def clone(): AnyRef

Attributes
protected[lang]
Definition Classes
AnyRef
Annotations
@throws( ... ) @native()
final def eq(arg0: AnyRef): Boolean

Definition Classes
AnyRef
def equals(arg0: Any): Boolean

Definition Classes
AnyRef → Any
def finalize(): Unit

Attributes
protected[lang]
Definition Classes
AnyRef
Annotations
@throws( classOf[java.lang.Throwable] )
final def getClass(): Class[_]

Definition Classes
AnyRef → Any
Annotations
@native()
def hashCode(): Int

Definition Classes
AnyRef → Any
Annotations
@native()
final def isInstanceOf[T0]: Boolean

Definition Classes
Any
final def ne(arg0: AnyRef): Boolean

Definition Classes
AnyRef
final def notify(): Unit

Definition Classes
AnyRef
Annotations
@native()
final def notifyAll(): Unit

Definition Classes
AnyRef
Annotations
@native()
final val outCatalogId: Id
Identifier for the output catalog.
Identifier for the output catalog.

Definition Classes
OutputLayers
final def synchronized[T0](arg0: ⇒ T0): T0

Definition Classes
AnyRef
def toString(): String

Definition Classes
AnyRef → Any
final def wait(): Unit

Definition Classes
AnyRef
Annotations
@throws( ... )
final def wait(arg0: Long, arg1: Int): Unit

Definition Classes
AnyRef
Annotations
@throws( ... )
final def wait(arg0: Long): Unit

Definition Classes
AnyRef
Annotations
@throws( ... ) @native()

Packages

NonIncrementalCompiler

trait NonIncrementalCompiler extends InputLayers with InputPartitioner with OutputLayers with OutputPartitioner

Abstract Value Members

Concrete Value Members

Inherited from OutputPartitioner

Inherited from OutputLayers

Inherited from InputPartitioner

Inherited from InputLayers

Inherited from AnyRef

Inherited from Any

Ungrouped

Packages

NonIncrementalCompiler 

trait NonIncrementalCompiler extends InputLayers with InputPartitioner with OutputLayers with OutputPartitioner

Abstract Value Members

Concrete Value Members

Inherited from OutputPartitioner

Inherited from OutputLayers

Inherited from InputPartitioner

Inherited from InputLayers

Inherited from AnyRef

Inherited from Any

Ungrouped

NonIncrementalCompiler