HERE Data SDK - Scala API references < Back

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.
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 statistics
Common statistics utilities.
Common statistics utilities.
Definition Classes
processing
Buckets
BucketsAccumulator
CatalogStats
PayloadStats
PublisherStats
RetrieveStats
Statistics
UploadStats

com.here.platform.data.processing.statistics

Buckets

Companion object Buckets

case class Buckets[T](bucketDelimiters: Array[T], itemsNumInBuckets: Array[Int])(implicit evidence$1: Ordering[T], evidence$2: Numeric[T]) extends Product with Serializable

Groups incoming values by user defined buckets. The bucket must be of type that supports ordering. User is not supposed to create the objects of this class directly, only by means of factory method.

T: the type of element in the bucket. Defines the type of delimiters of your buckets and the type of value that this accumulable will accumulate
bucketDelimiters: the delimiters of buckets as Array of Numeric. For example, given (1, 10, 100), four buckets will be created (-inf:1), [1:10), [10:100), [100:+inf)
itemsNumInBuckets: Array that contains the number of elements in bucket for each bucket

Linear Supertypes

Serializable, Product, Equals, AnyRef, Any

Ordering

Alphabetic
By Inheritance

Inherited

Buckets
Serializable
Product
Equals
AnyRef
Any

Hide All
Show All

Visibility

Public
Protected

Instance Constructors

new Buckets(bucketDelimiters: Array[T], itemsNumInBuckets: Array[Int])(implicit arg0: Ordering[T], arg1: Numeric[T])
bucketDelimiters
the delimiters of buckets as Array of Numeric. For example, given (1, 10, 100), four buckets will be created (-inf:1), [1:10), [10:100), [100:+inf)
itemsNumInBuckets
Array that contains the number of elements in bucket for each bucket

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
def add(other: Buckets[T]): Buckets[T]
def add(value: T): Unit
final def asInstanceOf[T0]: T0
Definition Classes
Any
val bucketDelimiters: Array[T]
def canEqual(other: Any): Boolean
Definition Classes
Buckets → Equals
def clone(): AnyRef
Attributes
protected[lang]
Definition Classes
AnyRef
Annotations
@throws(classOf[java.lang.CloneNotSupportedException]) @IntrinsicCandidate() @native()
final def eq(arg0: AnyRef): Boolean
Definition Classes
AnyRef
def equals(o: Any): Boolean
Definition Classes
Buckets → Equals → AnyRef → Any
final def getClass(): Class[_ <: AnyRef]
Definition Classes
AnyRef → Any
Annotations
@IntrinsicCandidate() @native()
def hashCode(): Int
Definition Classes
Buckets → AnyRef → Any
def isEmpty: Boolean
final def isInstanceOf[T0]: Boolean
Definition Classes
Any
val itemsNumInBuckets: Array[Int]
def merge(other: Buckets[T]): Unit
final def ne(arg0: AnyRef): Boolean
Definition Classes
AnyRef
final def notify(): Unit
Definition Classes
AnyRef
Annotations
@IntrinsicCandidate() @native()
final def notifyAll(): Unit
Definition Classes
AnyRef
Annotations
@IntrinsicCandidate() @native()
def productElementNames: Iterator[String]
Definition Classes
Product
def reset(): Unit
final def synchronized[T0](arg0: => T0): T0
Definition Classes
AnyRef
def toString(): String
Definition Classes
Buckets → AnyRef → Any
final def wait(arg0: Long, arg1: Int): Unit
Definition Classes
AnyRef
Annotations
@throws(classOf[java.lang.InterruptedException])
final def wait(arg0: Long): Unit
Definition Classes
AnyRef
Annotations
@throws(classOf[java.lang.InterruptedException]) @native()
final def wait(): Unit
Definition Classes
AnyRef
Annotations
@throws(classOf[java.lang.InterruptedException])

Deprecated Value Members

def finalize(): Unit
Attributes
protected[lang]
Definition Classes
AnyRef
Annotations
@throws(classOf[java.lang.Throwable]) @Deprecated
Deprecated
(Since version 9)

Packages

Buckets

Companion object Buckets

case class Buckets[T](bucketDelimiters: Array[T], itemsNumInBuckets: Array[Int])(implicit evidence$1: Ordering[T], evidence$2: Numeric[T]) extends Product with Serializable

Instance Constructors

Value Members

Deprecated Value Members

Inherited from Serializable

Inherited from Product

Inherited from Equals

Inherited from AnyRef

Inherited from Any

Ungrouped

Packages

Buckets

Companion object Buckets

case class Buckets[T](bucketDelimiters: Array[T], itemsNumInBuckets: Array[Int])(implicit evidence$1: Ordering[T], evidence$2: Numeric[T]) extends Product with Serializable

Instance Constructors

Value Members

Deprecated Value Members

Inherited from Serializable

Inherited from Product

Inherited from Equals

Inherited from AnyRef

Inherited from Any

Ungrouped

Buckets