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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.
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 driver

Definition Classes
processing
package modes

Definition Classes
driver
ContextAwareMode
FingerprintsChecking
IncrementalBaseMode
IncrementalMode
IncrementalStatefulMode
MultiExecutorsBaseMode
MultiExecutorsIncrementalMode
MultiExecutorsNonIncrementalMode
NonIncrementalBaseMode
NonIncrementalMode
NonIncrementalStatefulMode
PreviousVersionsChecking
SkipIfNoChangesMode
TaskMode

com.here.platform.data.processing.driver.modes

MultiExecutorsNonIncrementalMode

class MultiExecutorsNonIncrementalMode extends MultiExecutorsBaseMode

Runs a sequence of com.here.platform.data.processing.driver.Executors in non-incremental mode.

This driver task allows the running of a sequence of compilers where every subsequent executor is provided with data produced by the previous one. This allows the execution of multiple compilers without the need of creating a filter for each of them.

Note: input layers list of subsequent compilers have to include the needed output layers from the previous ones
,
no output layer overwriting is allowed in the current implementation
,
users of this class are strongly encouraged to build the related driver task via the com.here.platform.data.processing.driver.MultiCompilerTaskBuilder. This guarantees a type safe approach in the construction. Moreover, the mentioned builders assigns to each executor a unique id based on the driver task id set by the user.

Linear Supertypes

MultiExecutorsBaseMode, ContextAwareMode, TaskMode, AnyRef, Any

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MultiExecutorsNonIncrementalMode
MultiExecutorsBaseMode
ContextAwareMode
TaskMode
AnyRef
Any

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Visibility

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All

Instance Constructors

new MultiExecutorsNonIncrementalMode(context: DriverContext, id: Id, executors: Seq[Executor])
context
the com.here.platform.data.processing.driver.DriverContext relative to this mode
id
the identifier of the com.here.platform.data.processing.driver.DriverTask the mode belongs to, for logging reasons
executors
the executor that should sequentially run

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 actualRun(): RDD[(Key, Commit)]

Attributes
protected
def applyChanges(existingData: RDD[(OutKey, OutMeta)], outCommits: RDD[(OutKey, OutCommit)], version: Version): (RDD[(OutKey, InMeta)], RDD[(OutKey, Change)])
Propagates changes into the input metadata to simulate a commit.
Propagates changes into the input metadata to simulate a commit.
In multi-compiler full compilation intermediate results are only published to the blobstore, while metadata are kept and committed at the end of the executor sequence execution. This means that for a subsequent executor changes done by the previous one has to appear in the input metadata.
existingData
the status of the out data before compilation
outCommits
the just completed executor changes
version
the version to be committed
returns
the new state of the input metadata for the incoming execution

Attributes
protected
Definition Classes
MultiExecutorsBaseMode
final def asInstanceOf[T0]: T0

Definition Classes
Any
def clone(): AnyRef

Attributes
protected[lang]
Definition Classes
AnyRef
Annotations
@throws( ... ) @native()
val context: DriverContext

Definition Classes
ContextAwareMode
final def eq(arg0: AnyRef): Boolean

Definition Classes
AnyRef
def equals(arg0: Any): Boolean

Definition Classes
AnyRef → Any
def finalize(): Unit

Attributes
protected[lang]
Definition Classes
AnyRef
Annotations
@throws( classOf[java.lang.Throwable] )
final def getClass(): Class[_]

Definition Classes
AnyRef → Any
Annotations
@native()
def getNextVersion(currentBase: BaseVersion): Version
Increments the base version of the output catalog.
Increments the base version of the output catalog.
In multi-compiler driver tasks we need to simulate a publishing and the related commit. For this reason we need to increase the version of some input data.
currentBase
the current base version

Attributes
protected
Definition Classes
MultiExecutorsBaseMode
def hashCode(): Int

Definition Classes
AnyRef → Any
Annotations
@native()
def isApplicable: Boolean
This mode is always applicable, as it's always possible to compile the input catalogs from scratch.
This mode is always applicable, as it's always possible to compile the input catalogs from scratch.
returns
if the mode is applicable, so if the mode should run and its result evaluated

Definition Classes
MultiExecutorsNonIncrementalMode → TaskMode
final def isInstanceOf[T0]: Boolean

Definition Classes
Any
final def ne(arg0: AnyRef): Boolean

Definition Classes
AnyRef
final def notify(): Unit

Definition Classes
AnyRef
Annotations
@native()
final def notifyAll(): Unit

Definition Classes
AnyRef
Annotations
@native()
val parallelism: Int

Attributes
protected
Definition Classes
ContextAwareMode
def run(): TaskResult
Runs the compiler ignoring changes and compiling always the whole input catalogs.
Runs the compiler ignoring changes and compiling always the whole input catalogs.
returns
the result of the compilation

Definition Classes
MultiExecutorsNonIncrementalMode → TaskMode
final def synchronized[T0](arg0: ⇒ T0): T0

Definition Classes
AnyRef
def toString(): String

Definition Classes
AnyRef → Any
final def wait(): Unit

Definition Classes
AnyRef
Annotations
@throws( ... )
final def wait(arg0: Long, arg1: Int): Unit

Definition Classes
AnyRef
Annotations
@throws( ... )
final def wait(arg0: Long): Unit

Definition Classes
AnyRef
Annotations
@throws( ... ) @native()

Packages

MultiExecutorsNonIncrementalMode

class MultiExecutorsNonIncrementalMode extends MultiExecutorsBaseMode

Instance Constructors

Value Members

Inherited from MultiExecutorsBaseMode

Inherited from ContextAwareMode

Inherited from TaskMode

Inherited from AnyRef

Inherited from Any

Ungrouped

Packages

MultiExecutorsNonIncrementalMode 

class MultiExecutorsNonIncrementalMode extends MultiExecutorsBaseMode

Instance Constructors

Value Members

Inherited from MultiExecutorsBaseMode

Inherited from ContextAwareMode

Inherited from TaskMode

Inherited from AnyRef

Inherited from Any

Ungrouped

MultiExecutorsNonIncrementalMode