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* Licensed to the Apache Software Foundation (ASF) under one
* or more contributor license agreements. See the NOTICE file
* distributed with this work for additional information
* regarding copyright ownership. The ASF licenses this file
* to you under the Apache License, Version 2.0 (the
* "License"); you may not use this file except in compliance
* with the License. You may obtain a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an "AS IS" BASIS,
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
* See the License for the specific language governing permissions and
* limitations under the License.
*/
package org.apache.flink.test.iterative;
import org.apache.flink.api.common.functions.CoGroupFunction;
import org.apache.flink.api.common.functions.JoinFunction;
import org.apache.flink.api.common.functions.MapFunction;
import org.apache.flink.api.java.DataSet;
import org.apache.flink.api.java.ExecutionEnvironment;
import org.apache.flink.api.java.functions.FunctionAnnotation.ForwardedFieldsFirst;
import org.apache.flink.api.java.functions.FunctionAnnotation.ForwardedFieldsSecond;
import org.apache.flink.api.java.operators.CoGroupOperator;
import org.apache.flink.api.java.operators.DeltaIteration;
import org.apache.flink.api.java.operators.JoinOperator;
import org.apache.flink.api.java.tuple.Tuple1;
import org.apache.flink.api.java.tuple.Tuple2;
import org.apache.flink.test.testdata.ConnectedComponentsData;
import org.apache.flink.test.util.JavaProgramTestBase;
import org.apache.flink.util.Collector;
import java.io.BufferedReader;
import java.util.Iterator;
/** Delta iteration test implementing the connected components algorithm with a cogroup. */
public class CoGroupConnectedComponentsITCase extends JavaProgramTestBase {
private static final long SEED = 0xBADC0FFEEBEEFL;
private static final int NUM_VERTICES = 1000;
private static final int NUM_EDGES = 10000;
private static final int MAX_ITERATIONS = 100;
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);
}
}
// --------------------------------------------------------------------------------------------
// The test program
// --------------------------------------------------------------------------------------------
@Override
protected void testProgram() throws Exception {
ExecutionEnvironment env = ExecutionEnvironment.getExecutionEnvironment();
DataSet<Tuple1<Long>> initialVertices =
env.readCsvFile(verticesPath)
.fieldDelimiter(" ")
.types(Long.class)
.name("Vertices");
DataSet<Tuple2<Long, Long>> edges =
env.readCsvFile(edgesPath)
.fieldDelimiter(" ")
.types(Long.class, Long.class)
.name("Edges");
DataSet<Tuple2<Long, Long>> verticesWithId =
initialVertices
.map(
new MapFunction<Tuple1<Long>, Tuple2<Long, Long>>() {
@Override
public Tuple2<Long, Long> map(Tuple1<Long> value)
throws Exception {
return new Tuple2<>(value.f0, value.f0);
}
})
.name("Assign Vertex Ids");
DeltaIteration<Tuple2<Long, Long>, Tuple2<Long, Long>> iteration =
verticesWithId.iterateDelta(verticesWithId, MAX_ITERATIONS, 0);
JoinOperator<Tuple2<Long, Long>, Tuple2<Long, Long>, Tuple2<Long, Long>> joinWithNeighbors =
iteration
.getWorkset()
.join(edges)
.where(0)
.equalTo(0)
.with(
new JoinFunction<
Tuple2<Long, Long>,
Tuple2<Long, Long>,
Tuple2<Long, Long>>() {
@Override
public Tuple2<Long, Long> join(
Tuple2<Long, Long> first, Tuple2<Long, Long> second)
throws Exception {
return new Tuple2<>(second.f1, first.f1);
}
})
.name("Join Candidate Id With Neighbor");
CoGroupOperator<Tuple2<Long, Long>, Tuple2<Long, Long>, Tuple2<Long, Long>> minAndUpdate =
joinWithNeighbors
.coGroup(iteration.getSolutionSet())
.where(0)
.equalTo(0)
.with(new MinIdAndUpdate())
.name("min Id and Update");
iteration
.closeWith(minAndUpdate, minAndUpdate)
.writeAsCsv(resultPath, "\n", " ")
.name("Result");
env.execute("Workset Connected Components");
}
@ForwardedFieldsFirst("f1->f1")
@ForwardedFieldsSecond("f0->f0")
private static final class MinIdAndUpdate
implements CoGroupFunction<Tuple2<Long, Long>, Tuple2<Long, Long>, Tuple2<Long, Long>> {
private static final long serialVersionUID = 1L;
@Override
public void coGroup(
Iterable<Tuple2<Long, Long>> first,
Iterable<Tuple2<Long, Long>> second,
Collector<Tuple2<Long, Long>> out)
throws Exception {
Iterator<Tuple2<Long, Long>> current = second.iterator();
if (!current.hasNext()) {
throw new Exception("Error: Id not encountered before.");
}
Tuple2<Long, Long> old = current.next();
long oldId = old.f1;
long minimumComponentID = Long.MAX_VALUE;
for (Tuple2<Long, Long> candidate : first) {
long candidateComponentID = candidate.f1;
if (candidateComponentID < minimumComponentID) {
minimumComponentID = candidateComponentID;
}
}
if (minimumComponentID < oldId) {
out.collect(new Tuple2<>(old.f0, minimumComponentID));
}
}
}
}