@Override public EdgeMetrics<K, VV, EV> run(Graph<K, VV, EV> input) throws Exception { super.run(input); // s, t, (d(s), d(t)) DataSet<Edge<K, Tuple3<EV, LongValue, LongValue>>> edgeDegreePair = input .run(new EdgeDegreePair<K, VV, EV>() .setReduceOnTargetId(reduceOnTargetId) .setParallelism(parallelism)); // s, d(s), count of (u, v) where deg(u) < deg(v) or (deg(u) == deg(v) and u < v) DataSet<Tuple3<K, LongValue, LongValue>> edgeStats = edgeDegreePair .map(new EdgeStats<>()) .setParallelism(parallelism) .name("Edge stats") .groupBy(0) .reduce(new SumEdgeStats<>()) .setCombineHint(CombineHint.HASH) .setParallelism(parallelism) .name("Sum edge stats"); edgeMetricsHelper = new EdgeMetricsHelper<>(); edgeStats .output(edgeMetricsHelper) .setParallelism(parallelism) .name("Edge metrics"); return this; }
@Override public EdgeMetrics<K, VV, EV> run(Graph<K, VV, EV> input) throws Exception { super.run(input); // s, t, (d(s), d(t)) DataSet<Edge<K, Tuple3<EV, LongValue, LongValue>>> edgeDegreePair = input .run(new EdgeDegreePair<K, VV, EV>() .setReduceOnTargetId(reduceOnTargetId) .setParallelism(parallelism)); // s, d(s), count of (u, v) where deg(u) < deg(v) or (deg(u) == deg(v) and u < v) DataSet<Tuple3<K, LongValue, LongValue>> edgeStats = edgeDegreePair .map(new EdgeStats<>()) .setParallelism(parallelism) .name("Edge stats") .groupBy(0) .reduce(new SumEdgeStats<>()) .setCombineHint(CombineHint.HASH) .setParallelism(parallelism) .name("Sum edge stats"); edgeMetricsHelper = new EdgeMetricsHelper<>(); edgeStats .output(edgeMetricsHelper) .setParallelism(parallelism) .name("Edge metrics"); return this; }
@Override public EdgeMetrics<K, VV, EV> run(Graph<K, VV, EV> input) throws Exception { super.run(input); // s, t, (d(s), d(t)) DataSet<Edge<K, Tuple3<EV, LongValue, LongValue>>> edgeDegreePair = input .run(new EdgeDegreePair<K, VV, EV>() .setReduceOnTargetId(reduceOnTargetId) .setParallelism(parallelism)); // s, d(s), count of (u, v) where deg(u) < deg(v) or (deg(u) == deg(v) and u < v) DataSet<Tuple3<K, LongValue, LongValue>> edgeStats = edgeDegreePair .map(new EdgeStats<K, EV>()) .setParallelism(parallelism) .name("Edge stats") .groupBy(0) .reduce(new SumEdgeStats<K>()) .setCombineHint(CombineHint.HASH) .setParallelism(parallelism) .name("Sum edge stats"); edgeMetricsHelper = new EdgeMetricsHelper<>(); edgeStats .output(edgeMetricsHelper) .setParallelism(parallelism) .name("Edge metrics"); return this; }
@Override public EdgeMetrics<K, VV, EV> run(Graph<K, VV, EV> input) throws Exception { super.run(input); // s, t, (d(s), d(t)) DataSet<Edge<K, Tuple3<EV, LongValue, LongValue>>> edgeDegreePair = input .run(new EdgeDegreePair<K, VV, EV>() .setReduceOnTargetId(reduceOnTargetId) .setParallelism(parallelism)); // s, d(s), count of (u, v) where deg(u) < deg(v) or (deg(u) == deg(v) and u < v) DataSet<Tuple3<K, LongValue, LongValue>> edgeStats = edgeDegreePair .map(new EdgeStats<>()) .setParallelism(parallelism) .name("Edge stats") .groupBy(0) .reduce(new SumEdgeStats<>()) .setCombineHint(CombineHint.HASH) .setParallelism(parallelism) .name("Sum edge stats"); edgeMetricsHelper = new EdgeMetricsHelper<>(); edgeStats .output(edgeMetricsHelper) .setParallelism(parallelism) .name("Edge metrics"); return this; }