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 blobstore

Java bindings for the blobstore package.

Definition Classes: java

package caching

Definition Classes: blobstore

CachingMappingRetriever

CachingRetriever

com.here.platform.data.processing.java.blobstore.caching

CachingMappingRetriever

Companion object CachingMappingRetriever

class CachingMappingRetriever[T <: AnyRef] extends Wrapper[blobstore.caching.CachingMappingRetriever[T]] with Serializable

A wrapper for the Retriever class, that applies a mapping function on the retrieved payloads and caches the resulting values.

Linear Supertypes

Serializable, Serializable, Wrapper[blobstore.caching.CachingMappingRetriever[T]], AnyRef, Any

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@native()
def getPayloadAndMap(key: Key, meta: Meta, file: File): T
Returns the decoded value associated with the key-meta pair in this cache.
Returns the decoded value associated with the key-meta pair in this cache. If the value is not cached, it is retrieved with the wrapped retriever and decoded with the mapping function. If filter returns false for the key-meta pair, the cache is not used. This version uses a file to store the content of the payload. The transformed payload is still stored in memory though.
key
The partition key.
meta
The partition metadata.
file
The file where the retrieved payload must be stored.
returns
The decoded payload.

Note
In case of a cache hit, the file is not created or written. It's the caller's responsibility to delete the file when it's no longer needed. Payloads retrieved as stream are not cached. Moreover statistics when retrieving as stream are updated only in case the stream is closed.
def getPayloadAndMap(key: Key, meta: Meta): T
Returns the decoded value associated with the key-meta pair in this cache.
Returns the decoded value associated with the key-meta pair in this cache. If the value is not cached, it is retrieved with the wrapped retriever and decoded with the mapping function. If filter returns false for the key-meta pair, the cache is not used.
key
The partition key.
meta
The partition metadata.
returns
The decoded payload.
def hashCode(): Int

Definition Classes
Wrapper → AnyRef → Any
val impl: blobstore.caching.CachingMappingRetriever[T]

Definition Classes
CachingMappingRetriever → Wrapper
final def isInstanceOf[T0]: Boolean

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Any
final def ne(arg0: AnyRef): Boolean

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final def synchronized[T0](arg0: ⇒ T0): T0

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def toString(): String

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final def wait(): Unit

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Packages

CachingMappingRetriever

Companion object CachingMappingRetriever

class CachingMappingRetriever[T <: AnyRef] extends Wrapper[blobstore.caching.CachingMappingRetriever[T]] with Serializable

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Inherited from Wrapper[blobstore.caching.CachingMappingRetriever[T]]

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CachingMappingRetriever 

Companion object CachingMappingRetriever

class CachingMappingRetriever[T <: AnyRef] extends Wrapper[blobstore.caching.CachingMappingRetriever[T]] with Serializable

Value Members

Inherited from Serializable

Inherited from Serializable

Inherited from Wrapper[blobstore.caching.CachingMappingRetriever[T]]

Inherited from AnyRef

Inherited from Any

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CachingMappingRetriever