org.apache.tinkerpop.gremlin.process.computer.VertexProgram.execute java code examples

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}

@Override
public void process(TitanVertex vertex, ScanMetrics metrics) {
  PreloadedVertex v = (PreloadedVertex)vertex;
  long vertexId = v.longId();
  VertexMemoryHandler<M> vh = new VertexMemoryHandler(vertexMemory,v);
  v.setAccessCheck(PreloadedVertex.OPENSTAR_CHECK);
  if (idManager.isPartitionedVertex(vertexId)) {
    if (idManager.isCanonicalVertexId(vertexId)) {
      EntryList results = v.getFromCache(SYSTEM_PROPS_QUERY);
      if (results == null) results = EntryList.EMPTY_LIST;
      vertexMemory.setLoadedProperties(vertexId,results);
    }
    for (MessageScope scope : vertexMemory.getPreviousScopes()) {
      if (scope instanceof MessageScope.Local) {
        M combinedMsg = null;
        for (Iterator<M> msgIter = vh.receiveMessages(scope).iterator(); msgIter.hasNext(); ) {
          M msg = msgIter.next();
          if (combinedMsg==null) combinedMsg=msg;
          else combinedMsg = combiner.combine(combinedMsg,msg);
        }
        if (combinedMsg!=null) vertexMemory.aggregateMessage(vertexId,combinedMsg,scope);
      }
    }
  } else {
    v.setPropertyMixing(vh);
    vertexProgram.execute(v, vh, memory);
  }
}

v.setPropertyMixing(vh);
try {
  vertexProgram.execute(v, vh, memory);
} catch (ReadOnlyTransactionException e) {

final Vertex vertex = vertices.next();
if (Thread.interrupted()) throw new TraversalInterruptedException();
vertexProgram.execute(
    ComputerGraph.vertexProgram(vertex, vertexProgram),
    new TinkerMessenger<>(vertex, this.messageBoard, vertexProgram.getMessageCombiner()),

workerVertexProgram.execute(ComputerGraph.vertexProgram(vertex, workerVertexProgram), messenger, memory); // execute the vertex program on this vertex for this iteration

@Override
public void process(TitanVertex vertex, ScanMetrics metrics) {
  PreloadedVertex v = (PreloadedVertex)vertex;
  long vertexId = v.longId();
  VertexMemoryHandler<M> vh = new VertexMemoryHandler(vertexMemory,v);
  v.setAccessCheck(PreloadedVertex.OPENSTAR_CHECK);
  if (idManager.isPartitionedVertex(vertexId)) {
    if (idManager.isCanonicalVertexId(vertexId)) {
      EntryList results = v.getFromCache(SYSTEM_PROPS_QUERY);
      if (results == null) results = EntryList.EMPTY_LIST;
      vertexMemory.setLoadedProperties(vertexId,results);
    }
    for (MessageScope scope : vertexMemory.getPreviousScopes()) {
      if (scope instanceof MessageScope.Local) {
        M combinedMsg = null;
        for (Iterator<M> msgIter = vh.receiveMessages(scope).iterator(); msgIter.hasNext(); ) {
          M msg = msgIter.next();
          if (combinedMsg==null) combinedMsg=msg;
          else combinedMsg = combiner.combine(combinedMsg,msg);
        }
        if (combinedMsg!=null) vertexMemory.aggregateMessage(vertexId,combinedMsg,scope);
      }
    }
  } else {
    v.setPropertyMixing(vh);
    vertexProgram.execute(v, vh, memory);
  }
}

final Vertex vertex = vertices.next();
if (Thread.interrupted()) throw new TraversalInterruptedException();
vertexProgram.execute(
    ComputerGraph.vertexProgram(vertex, vertexProgram),
    new TinkerMessenger<>(vertex, this.messageBoard, vertexProgram.getMessageCombiner()),

final Vertex vertex = vertices.next();
if (Thread.interrupted()) throw new TraversalInterruptedException();
vertexProgram.execute(
    ComputerGraph.vertexProgram(vertex, vertexProgram),
    new TinkerMessenger<>(vertex, this.messageBoard, vertexProgram.getMessageCombiner()),

workerVertexProgram.execute(ComputerGraph.vertexProgram(vertex, workerVertexProgram), messenger, memory); // execute the vertex program on this vertex for this iteration

workerVertexProgram.execute(ComputerGraph.vertexProgram(vertex, workerVertexProgram), messenger, memory); // execute the vertex program on this vertex for this iteration

Javadoc

This method denotes the main body of the computation and is executed on each vertex in the graph. This method is logically executed in parallel on all vertices in the graph. When the Memory is read, it is according to the aggregated state yielded in the previous iteration. When the Memory is written, the data will be aggregated at the end of the iteration for reading in the next iteration.

Popular methods of VertexProgram

getMemoryComputeKeys
The Memory keys that will be used during the computation. These are the only keys that can be read o
workerIterationEnd
This method is called at the end of each iteration of each "computational chunk." The set of vertice
workerIterationStart
This method is called at the start of each iteration of each "computational chunk." The set of verti
createVertexProgram
A helper method to construct a VertexProgram given the content of the supplied configuration. The cl
getMessageCombiner
Combine the messages in route to a particular vertex. Useful to reduce the amount of data transmitte
getVertexComputeKeys
The org.apache.tinkerpop.gremlin.structure.Element properties that will be mutated during the comput
setup
The method is called at the beginning of the computation. The method is global to the GraphComputer
terminate
The method is called at the end of each iteration to determine if the computation is complete. The m
getMapReducers
The set of MapReduce jobs that are associated with the VertexProgram. This is not necessarily the ex
storeState
When it is necessary to store the state of the VertexProgram, this method is called. This is typical
clone
When multiple workers on a single machine need VertexProgram instances, it is possible to use clone.
getElementComputeKeys

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How to use executemethodin org.apache.tinkerpop.gremlin.process.computer.VertexProgram

Best Java code snippets using org.apache.tinkerpop.gremlin.process.computer.VertexProgram.execute (Showing top 9 results out of 315)

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