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VertexMetrics.setParallelism
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How to use
setParallelism
method
in
org.apache.flink.graph.library.metric.undirected.VertexMetrics

Best Java code snippets using org.apache.flink.graph.library.metric.undirected.VertexMetrics.setParallelism (Showing top 9 results out of 315)

origin: apache/flink

@Override
public DataSet plan(Graph<K, VV, EV> graph) throws Exception {
  switch (order.getValue()) {
    case DIRECTED:
      vertexMetrics = graph
        .run(new org.apache.flink.graph.library.metric.directed.VertexMetrics<K, VV, EV>()
          .setParallelism(parallelism.getValue().intValue()));
      edgeMetrics = graph
        .run(new org.apache.flink.graph.library.metric.directed.EdgeMetrics<K, VV, EV>()
          .setParallelism(parallelism.getValue().intValue()));
      break;
    case UNDIRECTED:
      vertexMetrics = graph
        .run(new org.apache.flink.graph.library.metric.undirected.VertexMetrics<K, VV, EV>()
          .setParallelism(parallelism.getValue().intValue()));
      edgeMetrics = graph
        .run(new org.apache.flink.graph.library.metric.undirected.EdgeMetrics<K, VV, EV>()
          .setParallelism(parallelism.getValue().intValue()));
      break;
  }
  return null;
}
origin: apache/flink

@Override
public GlobalClusteringCoefficient<K, VV, EV> run(Graph<K, VV, EV> input)
    throws Exception {
  super.run(input);
  triangleCount = new Count<>();
  DataSet<TriangleListing.Result<K>> triangles = input
    .run(new TriangleListing<K, VV, EV>()
      .setSortTriangleVertices(false)
      .setParallelism(parallelism));
  triangleCount.run(triangles);
  vertexMetrics = new VertexMetrics<K, VV, EV>()
    .setParallelism(parallelism);
  input.run(vertexMetrics);
  return this;
}
origin: apache/flink

@Override
public TriadicCensus<K, VV, EV> run(Graph<K, VV, EV> input)
    throws Exception {
  super.run(input);
  triangleCount = new Count<>();
  DataSet<TriangleListing.Result<K>> triangles = input
    .run(new TriangleListing<K, VV, EV>()
      .setSortTriangleVertices(false)
      .setParallelism(parallelism));
  triangleCount.run(triangles);
  vertexMetrics = new VertexMetrics<K, VV, EV>()
    .setParallelism(parallelism);
  input.run(vertexMetrics);
  return this;
}
origin: org.apache.flink/flink-gelly_2.10

@Override
public GlobalClusteringCoefficient<K, VV, EV> run(Graph<K, VV, EV> input)
    throws Exception {
  super.run(input);
  triangleCount = new Count<>();
  DataSet<TriangleListing.Result<K>> triangles = input
    .run(new TriangleListing<K, VV, EV>()
      .setSortTriangleVertices(false)
      .setLittleParallelism(littleParallelism));
  triangleCount.run(triangles);
  vertexMetrics = new VertexMetrics<K, VV, EV>()
    .setParallelism(littleParallelism);
  input.run(vertexMetrics);
  return this;
}
origin: org.apache.flink/flink-gelly_2.11

@Override
public GlobalClusteringCoefficient<K, VV, EV> run(Graph<K, VV, EV> input)
    throws Exception {
  super.run(input);
  triangleCount = new Count<>();
  DataSet<TriangleListing.Result<K>> triangles = input
    .run(new TriangleListing<K, VV, EV>()
      .setSortTriangleVertices(false)
      .setParallelism(parallelism));
  triangleCount.run(triangles);
  vertexMetrics = new VertexMetrics<K, VV, EV>()
    .setParallelism(parallelism);
  input.run(vertexMetrics);
  return this;
}
origin: com.alibaba.blink/flink-gelly

@Override
public GlobalClusteringCoefficient<K, VV, EV> run(Graph<K, VV, EV> input)
    throws Exception {
  super.run(input);
  triangleCount = new Count<>();
  DataSet<TriangleListing.Result<K>> triangles = input
    .run(new TriangleListing<K, VV, EV>()
      .setSortTriangleVertices(false)
      .setParallelism(parallelism));
  triangleCount.run(triangles);
  vertexMetrics = new VertexMetrics<K, VV, EV>()
    .setParallelism(parallelism);
  input.run(vertexMetrics);
  return this;
}
origin: org.apache.flink/flink-gelly_2.11

@Override
public TriadicCensus<K, VV, EV> run(Graph<K, VV, EV> input)
    throws Exception {
  super.run(input);
  triangleCount = new Count<>();
  DataSet<TriangleListing.Result<K>> triangles = input
    .run(new TriangleListing<K, VV, EV>()
      .setSortTriangleVertices(false)
      .setParallelism(parallelism));
  triangleCount.run(triangles);
  vertexMetrics = new VertexMetrics<K, VV, EV>()
    .setParallelism(parallelism);
  input.run(vertexMetrics);
  return this;
}
origin: org.apache.flink/flink-gelly_2.10

@Override
public TriadicCensus<K, VV, EV> run(Graph<K, VV, EV> input)
    throws Exception {
  super.run(input);
  triangleCount = new Count<>();
  DataSet<TriangleListing.Result<K>> triangles = input
    .run(new TriangleListing<K, VV, EV>()
      .setSortTriangleVertices(false)
      .setLittleParallelism(littleParallelism));
  triangleCount.run(triangles);
  vertexMetrics = new VertexMetrics<K, VV, EV>()
    .setParallelism(littleParallelism);
  input.run(vertexMetrics);
  return this;
}
origin: com.alibaba.blink/flink-gelly

@Override
public TriadicCensus<K, VV, EV> run(Graph<K, VV, EV> input)
    throws Exception {
  super.run(input);
  triangleCount = new Count<>();
  DataSet<TriangleListing.Result<K>> triangles = input
    .run(new TriangleListing<K, VV, EV>()
      .setSortTriangleVertices(false)
      .setParallelism(parallelism));
  triangleCount.run(triangles);
  vertexMetrics = new VertexMetrics<K, VV, EV>()
    .setParallelism(parallelism);
  input.run(vertexMetrics);
  return this;
}
org.apache.flink.graph.library.metric.undirectedVertexMetricssetParallelism

Javadoc

Override the operator parallelism.

Popular methods of VertexMetrics

  • <init>
  • getResult

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