com.tinkerpop.gremlin.process.computer

Interface GraphComputer

public interface GraphComputer

The GraphComputer is responsible for the execution of a VertexProgram and then a set of MapReduce jobs over the vertices in the Graph. It is up to the GraphComputer implementation to determine the appropriate memory structures given the computing substrate. GraphComputer implementations also maintains levels of memory GraphComputer.Isolation: Bulk Synchronous and Dirty Bulk Synchronous.

Author:

Marko A. Rodriguez (http://markorodriguez.com), Matthias Broecheler (me@matthiasb.com)

Nested Class Summary

Nested Classes

Modifier and Type	Interface and Description
static class	GraphComputer.Exceptions
static interface	GraphComputer.Features
static class	GraphComputer.Isolation

Method Summary

Modifier and Type	Method and Description
default GraphComputer.Features	features()
GraphComputer	isolation(GraphComputer.Isolation isolation) Set the GraphComputer.Isolation of the computation.
GraphComputer	mapReduce(MapReduce mapReduce) Add a MapReduce job to the set of MapReduce jobs to be executed by the GraphComputer.
GraphComputer	program(VertexProgram vertexProgram) Set the VertexProgram to be executed by the GraphComputer.
java.util.concurrent.Future<ComputerResult>	submit() Submit the VertexProgram and the set of MapReduce jobs for execution by the GraphComputer.

Method Detail

isolation

GraphComputer isolation(GraphComputer.Isolation isolation)

Set the GraphComputer.Isolation of the computation.

Parameters:

isolation - the isolation of the computation

Returns:

the updated GraphComputer with newly set isolation

program

GraphComputer program(VertexProgram vertexProgram)

Set the VertexProgram to be executed by the GraphComputer. There can only be one VertexProgram for the GraphComputer.

Parameters:

vertexProgram - the VertexProgram to be executed

Returns:

the updated GraphComputer with newly set VertexProgram

mapReduce

GraphComputer mapReduce(MapReduce mapReduce)

Add a MapReduce job to the set of MapReduce jobs to be executed by the GraphComputer. There can be any number of MapReduce jobs.

Parameters:

mapReduce - the MapReduce job to add to the computation

Returns:

the updated GraphComputer with newly added MapReduce job

submit

java.util.concurrent.Future<ComputerResult> submit()

Submit the VertexProgram and the set of MapReduce jobs for execution by the GraphComputer.

Returns:

a Future denoting a reference to the asynchronous computation and where to get the ComputerResult when its is complete.

features

default GraphComputer.Features features()