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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.

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 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 datastore

Definition Classes: catalog

package utils

Classes representing catalog versions.

Definition Classes: catalog

CatalogViewSinceVersion

EndpointLocatorSettings

com.here.platform.data.processing.catalog

Catalog

Companion trait Catalog

object Catalog

Identifier to refer to a catalog in the compiler configuration.

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type AdditionalField = Catalog.AdditionalField.Value
type Id = Symbol
The ID of a catalog is an internal identifier that does not affect anything outside: it is not committed and is not retrieved.
The ID of a catalog is an internal identifier that does not affect anything outside: it is not committed and is not retrieved. It is just used to differentiate partition keys of different catalogs in the same RDD.
The developer is free to choose a unique catalog ID for each catalog managed by his/her software.
However, the ids chosen must be in sync with the EMR filter and with the configuration (json and command line), because the Driver parses them and presents them to the compilers, so the actual values must be the expected ones for the compilers to properly bind to the Catalog instances created by the Driver for them.

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final def ##: Int
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val Id: Symbol.type
def apply(hrn: HRN, id: Id, appInfo: Option[AppInfo] = None, endpointLocatorSettings: Option[EndpointLocatorSettings] = None, statistics: Option[Statistics] = None, sc: SparkContext, additionalFields: Set[AdditionalField] = AdditionalField.defaultFields): Catalog
Creates a new Catalog instance.
Creates a new Catalog instance.
hrn
The HRN of the catalog.
id
The ID of the catalog.
appInfo
Additional application configuration that some implementations may require.
endpointLocatorSettings
Endpoint locator configuration that some implementations may require.
statistics
Optional statistics container.
sc
The Spark context.
additionalFields
The set of AdditionalFields requested to the service when retrieving catalog metadata.
returns
A new Catalog instance.
final def asInstanceOf[T0]: T0
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object AdditionalField extends Enumeration
Additional metadata field requested to the service and included in Partition.Meta.
object ChangeHistoryDirection extends Enumeration
Change history search direction, needed by Catalog.queryPartitionChangeHistory.

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Deprecated
(Since version 9)

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Catalog

Companion trait Catalog

object Catalog

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Catalog

Companion trait Catalog

object Catalog

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Catalog