/*
* Copyright © 2016 Cask Data, Inc.
*
* Licensed 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 co.cask.cdap.internal.app.runtime.batch.dataset.input;
import co.cask.cdap.api.dataset.lib.FileSet;
import co.cask.cdap.common.io.Locations;
import co.cask.cdap.internal.app.deploy.pipeline.ApplicationWithPrograms;
import co.cask.cdap.internal.app.runtime.BasicArguments;
import co.cask.cdap.internal.app.runtime.batch.MapReduceRunnerTestBase;
import com.google.common.base.Charsets;
import com.google.common.collect.ImmutableList;
import com.google.common.io.CharStreams;
import org.apache.twill.filesystem.Location;
import org.junit.Assert;
import org.junit.Test;
import java.io.PrintWriter;
import java.util.List;
/**
* Test case that tests ability to perform join across two datasets, using multiple inputs of a MapReduce job.
*/
public class MapReduceWithMultipleInputsTest extends MapReduceRunnerTestBase {
@Test
public void testSimpleJoin() throws Exception {
ApplicationWithPrograms app = deployApp(AppWithMapReduceUsingMultipleInputs.class);
final FileSet fileSet = datasetCache.getDataset(AppWithMapReduceUsingMultipleInputs.PURCHASES);
Location inputFile = fileSet.getBaseLocation().append("inputFile");
inputFile.createNew();
PrintWriter writer = new PrintWriter(inputFile.getOutputStream());
// the PURCHASES dataset consists of purchase records in the format: <customerId> <spend>
writer.println("1 20");
writer.println("1 25");
writer.println("1 30");
writer.println("2 5");
writer.close();
// write some of the purchases to the stream
writeToStream(AppWithMapReduceUsingMultipleInputs.PURCHASES, "2 13");
writeToStream(AppWithMapReduceUsingMultipleInputs.PURCHASES, "3 60");
FileSet fileSet2 = datasetCache.getDataset(AppWithMapReduceUsingMultipleInputs.CUSTOMERS);
inputFile = fileSet2.getBaseLocation().append("inputFile");
inputFile.createNew();
// the CUSTOMERS dataset consists of records in the format: <customerId> <customerName>
writer = new PrintWriter(inputFile.getOutputStream());
writer.println("1 Bob");
writer.println("2 Samuel");
writer.println("3 Joe");
writer.close();
// Using multiple inputs, this MapReduce will join on the two above datasets to get aggregate results.
// The records are expected to be in the form: <customerId> <customerName> <totalSpend>
runProgram(app, AppWithMapReduceUsingMultipleInputs.ComputeSum.class, new BasicArguments());
FileSet outputFileSet = datasetCache.getDataset(AppWithMapReduceUsingMultipleInputs.OUTPUT_DATASET);
// will only be 1 part file, due to the small amount of data
Location outputLocation = outputFileSet.getBaseLocation().append("output").append("part-r-00000");
List<String> lines = CharStreams.readLines(
CharStreams.newReaderSupplier(Locations.newInputSupplier(outputLocation), Charsets.UTF_8));
Assert.assertEquals(ImmutableList.of("1 Bob 75", "2 Samuel 18", "3 Joe 60"),
lines);
// assert that the mapper was initialized and destroyed (this doesn't happen when using hadoop's MultipleOutputs).
Assert.assertEquals("true", System.getProperty("mapper.initialized"));
Assert.assertEquals("true", System.getProperty("mapper.destroyed"));
}
@Test
public void testMapperOutputTypeChecking() throws Exception {
final ApplicationWithPrograms app = deployApp(AppWithMapReduceUsingInconsistentMappers.class);
// the mapreduce with consistent mapper types will succeed
Assert.assertTrue(runProgram(app,
AppWithMapReduceUsingInconsistentMappers.MapReduceWithConsistentMapperTypes.class,
new BasicArguments()));
// the mapreduce with mapper classes of inconsistent output types will fail, whether the mappers are set through
// CDAP APIs or also directly on the job
Assert.assertFalse(runProgram(app,
AppWithMapReduceUsingInconsistentMappers.MapReduceWithInconsistentMapperTypes.class,
new BasicArguments()));
Assert.assertFalse(runProgram(app,
AppWithMapReduceUsingInconsistentMappers.MapReduceWithInconsistentMapperTypes2.class,
new BasicArguments()));
}
@Test
public void testAddingMultipleInputsWithSameAlias() throws Exception {
final ApplicationWithPrograms app = deployApp(AppWithMapReduceUsingMultipleInputs.class);
// will fail because it configured two inputs with the same alias
Assert.assertFalse(runProgram(app,
AppWithMapReduceUsingMultipleInputs.InvalidMapReduce.class, new BasicArguments()));
}
}