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* Licensed to the Apache Software Foundation (ASF) under one
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* 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.runtime.jobgraph;
import static org.junit.Assert.*;
import java.util.List;
import org.apache.flink.api.common.InvalidProgramException;
import org.apache.flink.core.testutils.CommonTestUtils;
import org.apache.flink.runtime.io.network.partition.ResultPartitionType;
import org.junit.Test;
public class JobGraphTest {
@Test
public void testSerialization() {
try {
JobGraph jg = new JobGraph("The graph");
// add some configuration values
{
jg.getJobConfiguration().setString("some key", "some value");
jg.getJobConfiguration().setDouble("Life of ", Math.PI);
}
// add some vertices
{
JobVertex source1 = new JobVertex("source1");
JobVertex source2 = new JobVertex("source2");
JobVertex target = new JobVertex("target");
target.connectNewDataSetAsInput(source1, DistributionPattern.POINTWISE, ResultPartitionType.PIPELINED);
target.connectNewDataSetAsInput(source2, DistributionPattern.ALL_TO_ALL, ResultPartitionType.PIPELINED);
jg.addVertex(source1);
jg.addVertex(source2);
jg.addVertex(target);
}
// de-/serialize and compare
JobGraph copy = CommonTestUtils.createCopySerializable(jg);
assertEquals(jg.getName(), copy.getName());
assertEquals(jg.getJobID(), copy.getJobID());
assertEquals(jg.getJobConfiguration(), copy.getJobConfiguration());
assertEquals(jg.getNumberOfVertices(), copy.getNumberOfVertices());
for (JobVertex vertex : copy.getVertices()) {
JobVertex original = jg.findVertexByID(vertex.getID());
assertNotNull(original);
assertEquals(original.getName(), vertex.getName());
assertEquals(original.getNumberOfInputs(), vertex.getNumberOfInputs());
assertEquals(original.getNumberOfProducedIntermediateDataSets(), vertex.getNumberOfProducedIntermediateDataSets());
}
}
catch (Exception e) {
e.printStackTrace();
fail(e.getMessage());
}
}
@Test
public void testTopologicalSort1() {
try {
JobVertex source1 = new JobVertex("source1");
JobVertex source2 = new JobVertex("source2");
JobVertex target1 = new JobVertex("target1");
JobVertex target2 = new JobVertex("target2");
JobVertex intermediate1 = new JobVertex("intermediate1");
JobVertex intermediate2 = new JobVertex("intermediate2");
target1.connectNewDataSetAsInput(source1, DistributionPattern.POINTWISE, ResultPartitionType.PIPELINED);
target2.connectNewDataSetAsInput(source1, DistributionPattern.POINTWISE, ResultPartitionType.PIPELINED);
target2.connectNewDataSetAsInput(intermediate2, DistributionPattern.POINTWISE, ResultPartitionType.PIPELINED);
intermediate2.connectNewDataSetAsInput(intermediate1, DistributionPattern.POINTWISE, ResultPartitionType.PIPELINED);
intermediate1.connectNewDataSetAsInput(source2, DistributionPattern.POINTWISE, ResultPartitionType.PIPELINED);
JobGraph graph = new JobGraph("TestGraph",
source1, source2, intermediate1, intermediate2, target1, target2);
List<JobVertex> sorted = graph.getVerticesSortedTopologicallyFromSources();
assertEquals(6, sorted.size());
assertBefore(source1, target1, sorted);
assertBefore(source1, target2, sorted);
assertBefore(source2, target2, sorted);
assertBefore(source2, intermediate1, sorted);
assertBefore(source2, intermediate2, sorted);
assertBefore(intermediate1, target2, sorted);
assertBefore(intermediate2, target2, sorted);
}
catch (Exception e) {
e.printStackTrace();
fail(e.getMessage());
}
}
@Test
public void testTopologicalSort2() {
try {
JobVertex source1 = new JobVertex("source1");
JobVertex source2 = new JobVertex("source2");
JobVertex root = new JobVertex("root");
JobVertex l11 = new JobVertex("layer 1 - 1");
JobVertex l12 = new JobVertex("layer 1 - 2");
JobVertex l13 = new JobVertex("layer 1 - 3");
JobVertex l2 = new JobVertex("layer 2");
root.connectNewDataSetAsInput(l13, DistributionPattern.POINTWISE, ResultPartitionType.PIPELINED);
root.connectNewDataSetAsInput(source2, DistributionPattern.POINTWISE, ResultPartitionType.PIPELINED);
root.connectNewDataSetAsInput(l2, DistributionPattern.POINTWISE, ResultPartitionType.PIPELINED);
l2.connectNewDataSetAsInput(l11, DistributionPattern.POINTWISE, ResultPartitionType.PIPELINED);
l2.connectNewDataSetAsInput(l12, DistributionPattern.POINTWISE, ResultPartitionType.PIPELINED);
l11.connectNewDataSetAsInput(source1, DistributionPattern.POINTWISE, ResultPartitionType.PIPELINED);
l12.connectNewDataSetAsInput(source1, DistributionPattern.POINTWISE, ResultPartitionType.PIPELINED);
l12.connectNewDataSetAsInput(source2, DistributionPattern.POINTWISE, ResultPartitionType.PIPELINED);
l13.connectNewDataSetAsInput(source2, DistributionPattern.POINTWISE, ResultPartitionType.PIPELINED);
JobGraph graph = new JobGraph("TestGraph",
source1, source2, root, l11, l13, l12, l2);
List<JobVertex> sorted = graph.getVerticesSortedTopologicallyFromSources();
assertEquals(7, sorted.size());
assertBefore(source1, root, sorted);
assertBefore(source2, root, sorted);
assertBefore(l11, root, sorted);
assertBefore(l12, root, sorted);
assertBefore(l13, root, sorted);
assertBefore(l2, root, sorted);
assertBefore(l11, l2, sorted);
assertBefore(l12, l2, sorted);
assertBefore(l2, root, sorted);
assertBefore(source1, l2, sorted);
assertBefore(source2, l2, sorted);
assertBefore(source2, l13, sorted);
}
catch (Exception e) {
e.printStackTrace();
fail(e.getMessage());
}
}
@Test
public void testTopologicalSort3() {
// --> op1 --
// / \
// (source) - +-> op2 -> op3
// \ /
// ---------
try {
JobVertex source = new JobVertex("source");
JobVertex op1 = new JobVertex("op4");
JobVertex op2 = new JobVertex("op2");
JobVertex op3 = new JobVertex("op3");
op1.connectNewDataSetAsInput(source, DistributionPattern.POINTWISE, ResultPartitionType.PIPELINED);
op2.connectNewDataSetAsInput(op1, DistributionPattern.POINTWISE, ResultPartitionType.PIPELINED);
op2.connectNewDataSetAsInput(source, DistributionPattern.POINTWISE, ResultPartitionType.PIPELINED);
op3.connectNewDataSetAsInput(op2, DistributionPattern.POINTWISE, ResultPartitionType.PIPELINED);
JobGraph graph = new JobGraph("TestGraph", source, op1, op2, op3);
List<JobVertex> sorted = graph.getVerticesSortedTopologicallyFromSources();
assertEquals(4, sorted.size());
assertBefore(source, op1, sorted);
assertBefore(source, op2, sorted);
assertBefore(op1, op2, sorted);
assertBefore(op2, op3, sorted);
}
catch (Exception e) {
e.printStackTrace();
fail(e.getMessage());
}
}
@Test
public void testTopoSortCyclicGraphNoSources() {
try {
JobVertex v1 = new JobVertex("1");
JobVertex v2 = new JobVertex("2");
JobVertex v3 = new JobVertex("3");
JobVertex v4 = new JobVertex("4");
v1.connectNewDataSetAsInput(v4, DistributionPattern.POINTWISE, ResultPartitionType.PIPELINED);
v2.connectNewDataSetAsInput(v1, DistributionPattern.POINTWISE, ResultPartitionType.PIPELINED);
v3.connectNewDataSetAsInput(v2, DistributionPattern.POINTWISE, ResultPartitionType.PIPELINED);
v4.connectNewDataSetAsInput(v3, DistributionPattern.POINTWISE, ResultPartitionType.PIPELINED);
JobGraph jg = new JobGraph("Cyclic Graph", v1, v2, v3, v4);
try {
jg.getVerticesSortedTopologicallyFromSources();
fail("Failed to raise error on topologically sorting cyclic graph.");
}
catch (InvalidProgramException e) {
// that what we wanted
}
}
catch (Exception e) {
e.printStackTrace();
fail(e.getMessage());
}
}
@Test
public void testTopoSortCyclicGraphIntermediateCycle() {
try{
JobVertex source = new JobVertex("source");
JobVertex v1 = new JobVertex("1");
JobVertex v2 = new JobVertex("2");
JobVertex v3 = new JobVertex("3");
JobVertex v4 = new JobVertex("4");
JobVertex target = new JobVertex("target");
v1.connectNewDataSetAsInput(source, DistributionPattern.POINTWISE, ResultPartitionType.PIPELINED);
v1.connectNewDataSetAsInput(v4, DistributionPattern.POINTWISE, ResultPartitionType.PIPELINED);
v2.connectNewDataSetAsInput(v1, DistributionPattern.POINTWISE, ResultPartitionType.PIPELINED);
v3.connectNewDataSetAsInput(v2, DistributionPattern.POINTWISE, ResultPartitionType.PIPELINED);
v4.connectNewDataSetAsInput(v3, DistributionPattern.POINTWISE, ResultPartitionType.PIPELINED);
target.connectNewDataSetAsInput(v3, DistributionPattern.POINTWISE, ResultPartitionType.PIPELINED);
JobGraph jg = new JobGraph("Cyclic Graph", v1, v2, v3, v4, source, target);
try {
jg.getVerticesSortedTopologicallyFromSources();
fail("Failed to raise error on topologically sorting cyclic graph.");
}
catch (InvalidProgramException e) {
// that what we wanted
}
}
catch (Exception e) {
e.printStackTrace();
fail(e.getMessage());
}
}
private static final void assertBefore(JobVertex v1, JobVertex v2, List<JobVertex> list) {
boolean seenFirst = false;
for (JobVertex v : list) {
if (v == v1) {
seenFirst = true;
}
else if (v == v2) {
if (!seenFirst) {
fail("The first vertex (" + v1 + ") is not before the second vertex (" + v2 + ")");
}
break;
}
}
}
}