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* to you under the Apache License, Version 2.0 (the
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*
* http://www.apache.org/licenses/LICENSE-2.0
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* Unless required by applicable law or agreed to in writing, software
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package org.apache.flink.test.iterative;
import org.apache.flink.api.java.DataSet;
import org.apache.flink.api.java.ExecutionEnvironment;
import org.apache.flink.api.java.aggregation.Aggregations;
import org.apache.flink.api.java.operators.DeltaIteration;
import org.apache.flink.api.java.tuple.Tuple1;
import org.apache.flink.api.java.tuple.Tuple2;
import org.apache.flink.examples.java.graph.ConnectedComponents.ComponentIdFilter;
import org.apache.flink.examples.java.graph.ConnectedComponents.NeighborWithComponentIDJoin;
import org.apache.flink.examples.java.graph.ConnectedComponents.UndirectEdge;
import org.apache.flink.test.testdata.ConnectedComponentsData;
import org.apache.flink.test.util.JavaProgramTestBase;
import java.io.BufferedReader;
/** Delta iteration test implementing the connected components algorithm with an object map. */
@SuppressWarnings("serial")
public class ConnectedComponentsWithObjectMapITCase extends JavaProgramTestBase {
private static final long SEED = 0xBADC0FFEEBEEFL;
private static final int NUM_VERTICES = 1000;
private static final int NUM_EDGES = 10000;
protected String verticesPath;
protected String edgesPath;
protected String resultPath;
@Override
protected void preSubmit() throws Exception {
verticesPath =
createTempFile(
"vertices.txt",
ConnectedComponentsData.getEnumeratingVertices(NUM_VERTICES));
edgesPath =
createTempFile(
"edges.txt",
ConnectedComponentsData.getRandomOddEvenEdges(
NUM_EDGES, NUM_VERTICES, SEED));
resultPath = getTempFilePath("results");
}
@Override
protected void postSubmit() throws Exception {
for (BufferedReader reader : getResultReader(resultPath)) {
ConnectedComponentsData.checkOddEvenResult(reader);
}
}
@Override
protected void testProgram() throws Exception {
// set up execution environment
ExecutionEnvironment env = ExecutionEnvironment.getExecutionEnvironment();
// read vertex and edge data
DataSet<Tuple1<Long>> vertices = env.readCsvFile(verticesPath).types(Long.class);
DataSet<Tuple2<Long, Long>> edges =
env.readCsvFile(edgesPath)
.fieldDelimiter(" ")
.types(Long.class, Long.class)
.flatMap(new UndirectEdge());
// assign the initial components (equal to the vertex id)
DataSet<Tuple2<Long, Long>> verticesWithInitialId =
vertices.map(new ConnectedComponentsITCase.DuplicateValue<Long>());
// open a delta iteration
DeltaIteration<Tuple2<Long, Long>, Tuple2<Long, Long>> iteration =
verticesWithInitialId.iterateDelta(verticesWithInitialId, 100, 0);
iteration.setSolutionSetUnManaged(true);
// apply the step logic: join with the edges, select the minimum neighbor, update if the
// component of the candidate is smaller
DataSet<Tuple2<Long, Long>> changes =
iteration
.getWorkset()
.join(edges)
.where(0)
.equalTo(0)
.with(new NeighborWithComponentIDJoin())
.groupBy(0)
.aggregate(Aggregations.MIN, 1)
.join(iteration.getSolutionSet())
.where(0)
.equalTo(0)
.with(new ComponentIdFilter());
// close the delta iteration (delta and new workset are identical)
DataSet<Tuple2<Long, Long>> result = iteration.closeWith(changes, changes);
result.writeAsCsv(resultPath, "\n", " ");
// execute program
env.execute("Connected Components Example");
}
}