/*
* Copyright (c) 2007-2014 Concurrent, Inc. All Rights Reserved.
*
* Project and contact information: http://www.cascading.org/
*
* This file is part of the Cascading project.
*
* 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 cascading;
import java.io.Serializable;
import java.util.List;
import cascading.assembly.EuclideanDistance;
import cascading.assembly.PearsonDistance;
import cascading.assembly.SortElements;
import cascading.flow.Flow;
import cascading.flow.FlowProcess;
import cascading.operation.AggregatorCall;
import cascading.operation.Function;
import cascading.operation.FunctionCall;
import cascading.operation.Identity;
import cascading.operation.aggregator.First;
import cascading.operation.aggregator.Sum;
import cascading.operation.function.UnGroup;
import cascading.operation.regex.RegexFilter;
import cascading.operation.regex.RegexSplitter;
import cascading.pipe.CoGroup;
import cascading.pipe.Each;
import cascading.pipe.Every;
import cascading.pipe.GroupBy;
import cascading.pipe.Pipe;
import cascading.tap.SinkMode;
import cascading.tap.Tap;
import cascading.tuple.Fields;
import cascading.tuple.Tuple;
import cascading.tuple.TupleEntry;
import org.junit.Test;
import static data.InputData.inputFileCritics;
public class DistanceUseCasePlatformTest extends PlatformTestCase implements Serializable
{
public DistanceUseCasePlatformTest()
{
super( false );
}
/**
* Calculate the euclidean distance of the people in the critics.txt file
*
* @throws java.io.IOException
*/
@Test
public void testEuclideanDistance() throws Exception
{
getPlatform().copyFromLocal( inputFileCritics );
Tap source = getPlatform().getTextFile( inputFileCritics );
Tap sink = getPlatform().getTextFile( new Fields( "line" ), getOutputPath( "euclidean/long" ), SinkMode.REPLACE );
Pipe pipe = new Pipe( "euclidean" );
// unknown number of elements
pipe = new Each( pipe, new Fields( "line" ), new RegexSplitter( "\t" ) );
// break not names and movies
pipe = new Each( pipe, new UnGroup( new Fields( "name", "movie", "rate" ), new Fields( 0 ), 2 ) );
// name and rate against others of same movie
pipe = new CoGroup( pipe, new Fields( "movie" ), 1, new Fields( "name1", "movie", "rate1", "name2", "movie2", "rate2" ) );
// remove useless fields
pipe = new Each( pipe, new Fields( "movie", "name1", "rate1", "name2", "rate2" ), new Identity() );
// remove lines if the names are the same
pipe = new Each( pipe, new RegexFilter( "^[^\\t]*\\t([^\\t]*)\\t[^\\t]*\\t\\1\\t.*", true ) );
// transpose values in fields by natural sort order
pipe = new Each( pipe, new SortElements( new Fields( "name1", "rate1" ), new Fields( "name2", "rate2" ) ) );
// unique the pipe
pipe = new GroupBy( pipe, Fields.ALL );
pipe = new Every( pipe, Fields.ALL, new First(), Fields.RESULTS );
// calculate square of diff
Function sqDiff = new Identity( new Fields( "score" ) )
{
public void operate( FlowProcess flowProcess, FunctionCall functionCall )
{
TupleEntry input = functionCall.getArguments();
functionCall.getOutputCollector().add( new Tuple( Math.pow( input.getTuple().getDouble( 0 ) - input.getTuple().getDouble( 1 ), 2 ) ) );
}
};
// out: movie, name1, rate1, name2, rate2, score
pipe = new Each( pipe, new Fields( "rate1", "rate2" ), sqDiff, Fields.ALL );
// sum and sqr for each name pair
pipe = new GroupBy( pipe, new Fields( "name1", "name2" ) );
Sum distance = new Sum( new Fields( "distance" ) )
{
public void complete( FlowProcess flowProcess, AggregatorCall aggregatorCall )
{
Tuple tuple = super.getResult( aggregatorCall );
aggregatorCall.getOutputCollector().add( new Tuple( 1 / ( 1 + tuple.getDouble( 0 ) ) ) );
}
};
pipe = new Every( pipe, new Fields( "score" ), distance, new Fields( "name1", "name2", "distance" ) );
Flow flow = getPlatform().getFlowConnector().connect( source, sink, pipe );
flow.complete();
validateLength( flow, 21 );
List<Tuple> results = getSinkAsList( flow );
assertTrue( results.contains( new Tuple( "GeneSeymour\tLisaRose\t0.14814814814814814" ) ) );
}
/**
* Calculate the euclidean distance of the people in the critics.txt file
*
* @throws java.io.IOException
*/
@Test
public void testEuclideanDistanceShort() throws Exception
{
getPlatform().copyFromLocal( inputFileCritics );
Tap source = getPlatform().getTextFile( inputFileCritics );
Tap sink = getPlatform().getTextFile( new Fields( "line" ), getOutputPath( "euclidean/short" ), SinkMode.REPLACE );
// unknown number of elements
Pipe pipe = new Each( "euclidean", new Fields( "line" ), new RegexSplitter( "\t" ) );
// break not names and movies
pipe = new Each( pipe, new UnGroup( new Fields( "name", "movie", "rate" ), Fields.FIRST, 2 ) );
// name and rate against others of same movie
pipe = new CoGroup( pipe, new Fields( "movie" ), 1, new Fields( "name1", "movie", "rate1", "name2", "movie2", "rate2" ) );
// remove useless fields
pipe = new Each( pipe, new Fields( "movie", "name1", "rate1", "name2", "rate2" ), new Identity() );
// remove lines if the names are the same
pipe = new Each( pipe, new RegexFilter( "^[^\\t]*\\t([^\\t]*)\\t[^\\t]*\\t\\1\\t.*", true ) );
// transpose values in fields by natural sort order
pipe = new Each( pipe, new SortElements( new Fields( "name1", "rate1" ), new Fields( "name2", "rate2" ) ) );
// unique the pipe
pipe = new GroupBy( pipe, Fields.ALL );
pipe = new Every( pipe, Fields.ALL, new First(), Fields.RESULTS );
// calculate square of diff
Function sqDiff = new Identity( new Fields( "score" ) )
{
public void operate( FlowProcess flowProcess, FunctionCall functionCall )
{
TupleEntry input = functionCall.getArguments();
functionCall.getOutputCollector().add( new Tuple( Math.pow( input.getTuple().getDouble( 0 ) - input.getTuple().getDouble( 1 ), 2 ) ) );
}
};
// out: movie, name1, rate1, name2, rate2, score
pipe = new Each( pipe, new Fields( "rate1", "rate2" ), sqDiff, Fields.ALL );
// sum and sqr for each name pair
pipe = new GroupBy( pipe, new Fields( "name1", "name2" ) );
Sum distance = new Sum( new Fields( "distance" ) )
{
public void complete( FlowProcess flowProcess, AggregatorCall aggregatorCall )
{
Tuple tuple = super.getResult( aggregatorCall );
aggregatorCall.getOutputCollector().add( new Tuple( 1 / ( 1 + tuple.getDouble( 0 ) ) ) );
}
};
pipe = new Every( pipe, new Fields( "score" ), distance, new Fields( "name1", "name2", "distance" ) );
Flow flow = getPlatform().getFlowConnector().connect( source, sink, pipe );
flow.complete();
validateLength( flow, 21 );
List<Tuple> results = getSinkAsList( flow );
assertTrue( results.contains( new Tuple( "GeneSeymour\tLisaRose\t0.14814814814814814" ) ) );
}
@Test
public void testEuclideanDistanceComposite() throws Exception
{
getPlatform().copyFromLocal( inputFileCritics );
Tap source = getPlatform().getTextFile( inputFileCritics );
Tap sink = getPlatform().getTextFile( new Fields( "line" ), getOutputPath( "euclidean/composite" ), SinkMode.REPLACE );
// unknown number of elements
Pipe pipe = new Each( "euclidean", new Fields( "line" ), new RegexSplitter( "\t" ) );
// break not names and movies
pipe = new Each( pipe, new UnGroup( new Fields( "name", "movie", "rate" ), Fields.FIRST, 2 ) );
// name and rate against others of same movie
pipe = new EuclideanDistance( pipe, new Fields( "name", "movie", "rate" ), new Fields( "name1", "name2", "distance" ) );
Flow flow = getPlatform().getFlowConnector().connect( source, sink, pipe );
flow.complete();
validateLength( flow, 21 );
List<Tuple> results = getSinkAsList( flow );
assertTrue( results.contains( new Tuple( "GeneSeymour\tLisaRose\t0.14814814814814814" ) ) );
}
@Test
public void testPearsonDistanceComposite() throws Exception
{
getPlatform().copyFromLocal( inputFileCritics );
Tap source = getPlatform().getTextFile( inputFileCritics );
Tap sink = getPlatform().getTextFile( new Fields( "line" ), getOutputPath( "pearson/composite" ), SinkMode.REPLACE );
// unknown number of elements
Pipe pipe = new Each( "pearson", new Fields( "line" ), new RegexSplitter( "\t" ) );
// break not names and movies
pipe = new Each( pipe, new UnGroup( new Fields( "name", "movie", "rate" ), Fields.FIRST, 2 ) );
// name and rate against others of same movie
pipe = new PearsonDistance( pipe, new Fields( "name", "movie", "rate" ), new Fields( "name1", "name2", "distance" ) );
Flow flow = getPlatform().getFlowConnector().connect( source, sink, pipe );
flow.complete();
validateLength( flow, 21 );
List<Tuple> results = getSinkAsList( flow );
assertTrue( results.contains( new Tuple( "GeneSeymour\tLisaRose\t0.39605901719066977" ) ) );
}
}