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 blobstore

Contains an abstract interface used to access BlobStore.

Obtain the retriever and uploader for a catalog directly from the com.here.platform.data.processing.catalog.Catalog instance.

Definition Classes: processing

package caching

package engine

package broadcast

This package should be considered as the preferred way of working with broadcast variables in a Data Processing Library compiler.

This package should be considered as the preferred way of working with broadcast variables in a Data Processing Library compiler. It provides the basic functionality to create an instance of org.apache.spark.broadcast.Broadcast.

This functionality is based on org.apache.spark.broadcast.Broadcast which offers a self-contained mechanism to create a single broadcast variable of a generic type.

The toBroadcast() method is provided to create a broadcast variable and add the hash to the fingerprint of the com.here.platform.data.processing.driver.DriverContext, which is required in order for incremental compilations to work correctly.

The package also enables developers to query the catalogs without the need to manage versions manually.

Definition Classes: processing

package catalog

Contains an abstract Scala interface for accessing catalogs from Spark.

Use the com.here.platform.data.processing.catalog.Catalog factory methods to obtain instances.

Definition Classes: processing

package clientfactory

Definition Classes: processing

package compiler

Definition Classes: processing

package driver

Definition Classes: processing

package exception

Definition Classes: processing

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 leveling

Definition Classes: processing

package logging

Definition Classes: processing

package publisher

Definition Classes: processing

package spark

Definition Classes: processing

package statistics

Common statistics utilities.

Definition Classes: processing

package utils

Definition Classes: processing

package validation

Definition Classes: processing

com.here.platform.data.processing

blobstore

package blobstore

Contains an abstract interface used to access BlobStore.

Obtain the retriever and uploader for a catalog directly from the com.here.platform.data.processing.catalog.Catalog instance.

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Package Members

package caching
package engine

Type Members

class ByteArrayPayload extends Payload
Byte Array implementation of the Payload trait.
Byte Array implementation of the Payload trait.
This is the recommended implementation if your payload needs to be shuffled.
trait Digest extends Serializable
Trait to compute the com.here.platform.data.processing.catalog.Partition.Checksum of a Payload.
final class DigestedPayload extends Payload
A Payload object together with a Digest object, used to unambiguously compute its checksum.
class FilePayload extends Payload
File implementation for the Payload trait.
File implementation for the Payload trait.
Note
This implementation must not be used if the payload needs to be shuffled.
,
Do not set autoDelete to true in case you need to use the same file for multiple FilePayload objects.
trait Payload extends Serializable
A wrapper on encoded partition data.
trait RetrieveLogging extends Retriever with ContextLogging
Mixin to log the retrieved payload key and meta.
trait RetrieveMetrics extends Retriever
Mixin to save data retrieving statistics.
Mixin to save data retrieving statistics.
Note
Statistics when retrieving as stream are updated only in case the stream is closed.
trait Retriever extends Serializable
Trait to retrieve the Payload of a Partition.
sealed class SimpleDigest extends Digest
A Digest implementation based on java.security algorithms.
trait UploadLogging extends Uploader with ContextLogging
Mixin to log the uploaded payload key and meta.
trait UploadMetrics extends Uploader
Mixin to save data uploading statistics.
trait Uploader extends Serializable
Trait to upload the com.here.platform.data.processing.blobstore.Payload of a Partition.

Value Members

object DefaultDigest extends SimpleDigest
The default digest object.
The default digest object. It computes the checksum of a Payload using the MD5 algorithm.
object DigestedPayload extends Serializable
object Implicits
object Payload extends Serializable

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blobstore

package blobstore

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blobstore

package blobstore

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