@SuppressWarnings("serial")
public static void main(String[] args) throws Exception {
if (!parseParameters(args)) {
return;
}
ExecutionEnvironment env = ExecutionEnvironment.getExecutionEnvironment();
DataSet<Edge<Long, NullValue>> edges = getEdgesDataSet(env);
Graph<Long, Long, NullValue> graph =
Graph.fromDataSet(
edges,
new MapFunction<Long, Long>() {
@Override
public Long map(Long value) throws Exception {
return value;
}
},
env);
DataSet<Vertex<Long, Long>> verticesWithMinIds =
graph.run(new GSAConnectedComponents<Long, Long, NullValue>(maxIterations));
// emit result
if (fileOutput) {
verticesWithMinIds.writeAsCsv(outputPath, "\n", ",");
// since file sinks are lazy, we trigger the execution explicitly
env.execute("Connected Components Example");
} else {
verticesWithMinIds.print();
}
}
/** {@inheritDoc} */
@Override
protected LogicalGraph<VD, ED, GD> executeInternal(
LogicalGraph<VD, ED, GD> firstGraph, LogicalGraph<VD, ED, GD> secondGraph) {
final Long newGraphID = FlinkConstants.EXCLUDE_GRAPH_ID;
Graph<Long, VD, ED> graph1 = firstGraph.getGellyGraph();
Graph<Long, VD, ED> graph2 = secondGraph.getGellyGraph();
// union vertex sets, group by vertex id, filter vertices where the group
// contains exactly one vertex which belongs to the graph, the operator is
// called on
DataSet<Vertex<Long, VD>> newVertexSet =
graph1
.getVertices()
.union(graph2.getVertices())
.groupBy(new KeySelectors.VertexKeySelector<VD>())
.reduceGroup(new VertexGroupReducer<VD>(1L, firstGraph.getId(), secondGraph.getId()))
.map(new VertexToGraphUpdater<VD>(newGraphID));
JoinFunction<Edge<Long, ED>, Vertex<Long, VD>, Edge<Long, ED>> joinFunc =
new JoinFunction<Edge<Long, ED>, Vertex<Long, VD>, Edge<Long, ED>>() {
@Override
public Edge<Long, ED> join(Edge<Long, ED> leftTuple, Vertex<Long, VD> rightTuple)
throws Exception {
return leftTuple;
}
};
// In exclude(), we are only interested in edges that connect vertices
// that are in the exclusion of the vertex sets. Thus, we join the edges
// from the left graph with the new vertex set using source and target ids.
DataSet<Edge<Long, ED>> newEdgeSet =
graph1
.getEdges()
.join(newVertexSet)
.where(new KeySelectors.EdgeSourceVertexKeySelector<ED>())
.equalTo(new KeySelectors.VertexKeySelector<VD>())
.with(joinFunc)
.join(newVertexSet)
.where(new KeySelectors.EdgeTargetVertexKeySelector<ED>())
.equalTo(new KeySelectors.VertexKeySelector<VD>())
.with(joinFunc)
.map(new EdgeToGraphUpdater<ED>(newGraphID));
return LogicalGraph.fromGraph(
Graph.fromDataSet(newVertexSet, newEdgeSet, graph1.getContext()),
firstGraph.getGraphDataFactory().createGraphData(newGraphID),
firstGraph.getVertexDataFactory(),
firstGraph.getEdgeDataFactory(),
firstGraph.getGraphDataFactory());
}
@Test
public void testTranslation() {
try {
final String ITERATION_NAME = "Test Name";
final String AGGREGATOR_NAME = "AggregatorName";
final String BC_SET_GATHER_NAME = "gather messages";
final String BC_SET_SUM_NAME = "sum updates";
final String BC_SET_APLLY_NAME = "apply updates";
final int NUM_ITERATIONS = 13;
final int ITERATION_parallelism = 77;
ExecutionEnvironment env = ExecutionEnvironment.getExecutionEnvironment();
DataSet<Long> bcGather = env.fromElements(1L);
DataSet<Long> bcSum = env.fromElements(1L);
DataSet<Long> bcApply = env.fromElements(1L);
DataSet<Vertex<Long, Long>> result;
// ------------ construct the test program ------------------
{
DataSet<Edge<Long, NullValue>> edges =
env.fromElements(new Tuple3<Long, Long, NullValue>(1L, 2L, NullValue.getInstance()))
.map(new Tuple3ToEdgeMap<Long, NullValue>());
Graph<Long, Long, NullValue> graph = Graph.fromDataSet(edges, new InitVertices(), env);
GSAConfiguration parameters = new GSAConfiguration();
parameters.registerAggregator(AGGREGATOR_NAME, new LongSumAggregator());
parameters.setName(ITERATION_NAME);
parameters.setParallelism(ITERATION_parallelism);
parameters.addBroadcastSetForGatherFunction(BC_SET_GATHER_NAME, bcGather);
parameters.addBroadcastSetForSumFunction(BC_SET_SUM_NAME, bcSum);
parameters.addBroadcastSetForApplyFunction(BC_SET_APLLY_NAME, bcApply);
result =
graph
.runGatherSumApplyIteration(
new GatherNeighborIds(),
new SelectMinId(),
new UpdateComponentId(),
NUM_ITERATIONS,
parameters)
.getVertices();
result.output(new DiscardingOutputFormat<Vertex<Long, Long>>());
}
// ------------- validate the java program ----------------
assertTrue(result instanceof DeltaIterationResultSet);
DeltaIterationResultSet<?, ?> resultSet = (DeltaIterationResultSet<?, ?>) result;
DeltaIteration<?, ?> iteration = (DeltaIteration<?, ?>) resultSet.getIterationHead();
// check the basic iteration properties
assertEquals(NUM_ITERATIONS, resultSet.getMaxIterations());
assertArrayEquals(new int[] {0}, resultSet.getKeyPositions());
assertEquals(ITERATION_parallelism, iteration.getParallelism());
assertEquals(ITERATION_NAME, iteration.getName());
assertEquals(
AGGREGATOR_NAME,
iteration.getAggregators().getAllRegisteredAggregators().iterator().next().getName());
// validate that the semantic properties are set as they should
TwoInputUdfOperator<?, ?, ?, ?> solutionSetJoin =
(TwoInputUdfOperator<?, ?, ?, ?>) resultSet.getNextWorkset();
assertTrue(
solutionSetJoin.getSemanticProperties().getForwardingTargetFields(0, 0).contains(0));
assertTrue(
solutionSetJoin.getSemanticProperties().getForwardingTargetFields(1, 0).contains(0));
SingleInputUdfOperator<?, ?, ?> sumReduce =
(SingleInputUdfOperator<?, ?, ?>) solutionSetJoin.getInput1();
SingleInputUdfOperator<?, ?, ?> gatherMap =
(SingleInputUdfOperator<?, ?, ?>) sumReduce.getInput();
// validate that the broadcast sets are forwarded
assertEquals(bcGather, gatherMap.getBroadcastSets().get(BC_SET_GATHER_NAME));
assertEquals(bcSum, sumReduce.getBroadcastSets().get(BC_SET_SUM_NAME));
assertEquals(bcApply, solutionSetJoin.getBroadcastSets().get(BC_SET_APLLY_NAME));
} catch (Exception e) {
System.err.println(e.getMessage());
e.printStackTrace();
fail(e.getMessage());
}
}
