Packages

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 java

This package provides Java bindings for the Data Processing Library, to build distributed data processing applications in Java.

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.java.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 implement a com.here.platform.data.processing.java.compiler.Direct1ToNCompiler.

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

The processing Library supports the following patterns:

- com.here.platform.data.processing.java.compiler.NonIncrementalCompiler: non-incremental compilation only - com.here.platform.data.processing.java.compiler.DepCompiler: non-incremental dependency calculation and incremental compilation - com.here.platform.data.processing.java.compiler.IncrementalDepCompiler: incremental dependency calculation and compilation - com.here.platform.data.processing.java.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.java.compiler.DirectMToNCompiler: incremental compilation where every output tile can depend on multiple input tiles, and this mapping is independent from tile content - com.here.platform.data.processing.java.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.java.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 extends a runner class (like PipelineRunner) to setup the Driver, and interfaces with the environment where the application runs. For more details, see the Main classes in the example compilers.

com.here.platform.data.processing.java.catalog, com.here.platform.data.processing.java.blobstore, and com.here.platform.data.processing.java.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: processing

package impl

Definition Classes: java

package compiler

Definition Classes: impl

package reftree

Definition Classes: compiler

WrapperCompileInFn

WrapperCompileInFnWithRefs

WrapperCompileInFnWithRefsReturnsReferences

WrapperResolveInFn

com.here.platform.data.processing.java.impl.compiler.reftree

WrapperCompileInFnWithRefs

trait WrapperCompileInFnWithRefs[T, W <: CompileInFnWithRefs[T]] extends WrapperCompileInFn[T, W] with CompileInFn[T] with CompileInFnWithRefs[T]

Linear Supertypes

CompileInFnWithRefs[T], CompileInFn[T], WrapperCompileInFn[T, W], CompileInFn[T], Serializable, Wrapper[W], AnyRef, Any

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abstract def impl: W
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Definition Classes
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Definition Classes
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def compileInFn(in: (InKey, InMeta), refs: Map[InKey, InMeta]): Iterable[(OutKey, T)]
Calculates the dependent output partitions and intermediate results from a single input partition.
Calculates the dependent output partitions and intermediate results from a single input partition.
in
the input partition to process
refs
All references that are required to process the input partition
returns
All the impacted output partitions com.here.platform.data.processing.compiler.OutKey and intermediate data of type T for this partition. It may contain more than one element per output key. compileOutFn will only be called for outKeys which have at least one intermediate value from this phase. Other outKeys will be automatically deleted.
Definition Classes
WrapperCompileInFnWithRefs → CompileInFnWithRefs
final val compileInFnDefined: Unit
Must be overridden as final by all subclasses, to block the mixin of different interfaces in the same compiler class.
Must be overridden as final by all subclasses, to block the mixin of different interfaces in the same compiler class.
Definition Classes
CompileInFnWithRefs
final def eq(arg0: AnyRef): Boolean
Definition Classes
AnyRef
def equals(o: Any): Boolean
Definition Classes
Wrapper → AnyRef → Any
final def getClass(): Class[_ <: AnyRef]
Definition Classes
AnyRef → Any
Annotations
@IntrinsicCandidate() @native()
def hashCode(): Int
Definition Classes
Wrapper → AnyRef → Any
final def isInstanceOf[T0]: Boolean
Definition Classes
Any
final def ne(arg0: AnyRef): Boolean
Definition Classes
AnyRef
final def notify(): Unit
Definition Classes
AnyRef
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@IntrinsicCandidate() @native()
final def notifyAll(): Unit
Definition Classes
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@IntrinsicCandidate() @native()
final def synchronized[T0](arg0: => T0): T0
Definition Classes
AnyRef
def toString(): String
Definition Classes
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final def wait(arg0: Long, arg1: Int): Unit
Definition Classes
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@throws(classOf[java.lang.InterruptedException])
final def wait(arg0: Long): Unit
Definition Classes
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@throws(classOf[java.lang.InterruptedException]) @native()
final def wait(): Unit
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def finalize(): Unit
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protected[lang]
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@throws(classOf[java.lang.Throwable]) @Deprecated
Deprecated
(Since version 9)

Packages

WrapperCompileInFnWithRefs

trait WrapperCompileInFnWithRefs[T, W <: CompileInFnWithRefs[T]] extends WrapperCompileInFn[T, W] with CompileInFn[T] with CompileInFnWithRefs[T]

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Inherited from CompileInFnWithRefs[T]

Inherited from CompileInFn[T]

Inherited from WrapperCompileInFn[T, W]

Inherited from CompileInFn[T]

Inherited from Serializable

Inherited from Wrapper[W]

Inherited from AnyRef

Inherited from Any

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Packages

WrapperCompileInFnWithRefs

trait WrapperCompileInFnWithRefs[T, W <: CompileInFnWithRefs[T]] extends WrapperCompileInFn[T, W] with CompileInFn[T] with CompileInFnWithRefs[T]

Abstract Value Members

Concrete Value Members

Deprecated Value Members

Inherited from CompileInFnWithRefs[T]

Inherited from CompileInFn[T]

Inherited from WrapperCompileInFn[T, W]

Inherited from CompileInFn[T]

Inherited from Serializable

Inherited from Wrapper[W]

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Inherited from Any

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WrapperCompileInFnWithRefs