home | career | drupal | java | mac | mysql | perl | scala | uml | unix  

Lucene example source code file (TestCartesian.java)

This example Lucene source code file (TestCartesian.java) is included in the DevDaily.com "Java Source Code Warehouse" project. The intent of this project is to help you "Learn Java by Example" TM.

Java - Lucene tags/keywords

customscoreprovider, customscoreprovider, customscorequery, distancequerybuilder, document, fieldscorequery, fieldscorequery, io, ioexception, override, override, sort, string, string, util, verbose

The Lucene TestCartesian.java source code

/**
 * 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.lucene.spatial.tier;

import java.io.IOException;
import java.util.LinkedList;
import java.util.List;
import java.util.Map;

import org.apache.lucene.analysis.MockAnalyzer;
import org.apache.lucene.document.Document;
import org.apache.lucene.document.Field;
import org.apache.lucene.index.IndexWriter;
import org.apache.lucene.index.IndexReader;
import org.apache.lucene.index.Term;
import org.apache.lucene.search.IndexSearcher;
import org.apache.lucene.search.Query;
import org.apache.lucene.search.ScoreDoc;
import org.apache.lucene.search.Sort;
import org.apache.lucene.search.SortField;
import org.apache.lucene.search.TermQuery;
import org.apache.lucene.search.TopDocs;
import org.apache.lucene.search.function.CustomScoreQuery;
import org.apache.lucene.search.function.CustomScoreProvider;
import org.apache.lucene.search.function.FieldScoreQuery;
import org.apache.lucene.search.function.FieldScoreQuery.Type;
import org.apache.lucene.spatial.DistanceUtils;
import org.apache.lucene.spatial.geohash.GeoHashUtils;
import org.apache.lucene.spatial.geometry.DistanceUnits;
import org.apache.lucene.spatial.geometry.FloatLatLng;
import org.apache.lucene.spatial.geometry.LatLng;
import org.apache.lucene.spatial.tier.projections.CartesianTierPlotter;
import org.apache.lucene.spatial.tier.projections.IProjector;
import org.apache.lucene.spatial.tier.projections.SinusoidalProjector;
import org.apache.lucene.store.Directory;
import org.apache.lucene.util.LuceneTestCase;
import org.apache.lucene.util.NumericUtils;

public class TestCartesian extends LuceneTestCase {

  private Directory directory;
  private IndexSearcher searcher;
  // reston va
  private double lat = 38.969398; 
  private double lng= -77.386398;
  private String latField = "lat";
  private String lngField = "lng";
  private List<CartesianTierPlotter> ctps = new LinkedList();
  private String geoHashPrefix = "_geoHash_";
  
  private IProjector project = new SinusoidalProjector();
  


  @Override
  public void setUp() throws Exception {
    super.setUp();
    directory = newDirectory();

    IndexWriter writer = new IndexWriter(directory, newIndexWriterConfig(TEST_VERSION_CURRENT, new MockAnalyzer(random)));
    
    setUpPlotter( 2, 15);
    
    addData(writer);
    
  }
  
  @Override
  public void tearDown() throws Exception {
    directory.close();
    super.tearDown();
  }
  
  
  private void setUpPlotter(int base, int top) {
    
    for (; base <= top; base ++){
      ctps.add(new CartesianTierPlotter(base,project,
          CartesianTierPlotter.DEFALT_FIELD_PREFIX));
    }
  }
  
  private void addPoint(IndexWriter writer, String name, double lat, double lng) throws IOException{
    
    Document doc = new Document();
    
    doc.add(newField("name", name,Field.Store.YES, Field.Index.ANALYZED));
    
    // convert the lat / long to lucene fields
    doc.add(new Field(latField, NumericUtils.doubleToPrefixCoded(lat),Field.Store.YES, Field.Index.NOT_ANALYZED));
    doc.add(new Field(lngField, NumericUtils.doubleToPrefixCoded(lng),Field.Store.YES, Field.Index.NOT_ANALYZED));
    
    // add a default meta field to make searching all documents easy 
    doc.add(newField("metafile", "doc",Field.Store.YES, Field.Index.ANALYZED));
    
    int ctpsize = ctps.size();
    for (int i =0; i < ctpsize; i++){
      CartesianTierPlotter ctp = ctps.get(i);
      doc.add(new Field(ctp.getTierFieldName(), 
          NumericUtils.doubleToPrefixCoded(ctp.getTierBoxId(lat,lng)),
          Field.Store.YES, 
          Field.Index.NOT_ANALYZED_NO_NORMS));
      
      doc.add(newField(geoHashPrefix, GeoHashUtils.encode(lat,lng), 
    		  Field.Store.YES, 
    		  Field.Index.NOT_ANALYZED_NO_NORMS));
    }
    writer.addDocument(doc);
    
  }
  
  
  
  private void addData(IndexWriter writer) throws IOException {
    addPoint(writer,"McCormick & Schmick's Seafood Restaurant",38.9579000,-77.3572000);
    addPoint(writer,"Jimmy's Old Town Tavern",38.9690000,-77.3862000);
    addPoint(writer,"Ned Devine's",38.9510000,-77.4107000);
    addPoint(writer,"Old Brogue Irish Pub",38.9955000,-77.2884000);
    addPoint(writer,"Alf Laylah Wa Laylah",38.8956000,-77.4258000);
    addPoint(writer,"Sully's Restaurant & Supper",38.9003000,-77.4467000);
    addPoint(writer,"TGIFriday",38.8725000,-77.3829000);
    addPoint(writer,"Potomac Swing Dance Club",38.9027000,-77.2639000);
    addPoint(writer,"White Tiger Restaurant",38.9027000,-77.2638000);
    addPoint(writer,"Jammin' Java",38.9039000,-77.2622000);
    addPoint(writer,"Potomac Swing Dance Club",38.9027000,-77.2639000);
    addPoint(writer,"WiseAcres Comedy Club",38.9248000,-77.2344000);
    addPoint(writer,"Glen Echo Spanish Ballroom",38.9691000,-77.1400000);
    addPoint(writer,"Whitlow's on Wilson",38.8889000,-77.0926000);
    addPoint(writer,"Iota Club and Cafe",38.8890000,-77.0923000);
    addPoint(writer,"Hilton Washington Embassy Row",38.9103000,-77.0451000);
    addPoint(writer,"HorseFeathers, Bar & Grill", 39.01220000000001, -77.3942);
    addPoint(writer,"Marshall Island Airfield",7.06, 171.2);
    addPoint(writer, "Wonga Wongue Reserve, Gabon", -0.546562,9.459229);
    addPoint(writer,"Midway Island",25.7, -171.7);
    addPoint(writer,"North Pole Way",55.0, 4.0);
   
    writer.commit();
    // TODO: fix CustomScoreQuery usage in testRange/testGeoHashRange so we don't need this.
    writer.optimize();
    writer.close();
  }


  public void testDistances() throws IOException, InvalidGeoException {
    LatLng p1 = new FloatLatLng( 7.06, 171.2 );
    LatLng p2 = new FloatLatLng( 21.6032207, -158.0 );
    double miles = p1.arcDistance( p2, DistanceUnits.MILES );
    if (VERBOSE) {
      System.out.println("testDistances");
      System.out.println("miles:" + miles);
    }
    assertEquals(2288.82495932794, miles); 
    LatLng p3 = new FloatLatLng( 41.6032207, -73.087749);
    LatLng p4 = new FloatLatLng( 55.0, 4.0 );
    miles = p3.arcDistance( p4, DistanceUnits.MILES );
    if (VERBOSE) System.out.println("miles:" + miles);
    assertEquals(3474.331719997617, miles); 
  }

  /*public void testCartesianPolyFilterBuilder() throws Exception {
    CartesianPolyFilterBuilder cpfb = new CartesianPolyFilterBuilder(CartesianTierPlotter.DEFALT_FIELD_PREFIX, 2, 15);
    //try out some shapes
    final double miles = 20.0;
        // Hawaii
        // 2300 miles to Marshall Island Airfield
    //Hawaii to Midway is 911 miles
    lat = 0;
    lng = -179.9;
    Shape shape;
    shape = cpfb.getBoxShape(lat, lng, miles);
    System.out.println("Tier: " + shape.getTierLevel());
    System.out.println("area: " + shape.getArea().size());
    lat = 30;
    lng = -100;
    shape = cpfb.getBoxShape(lat, lng, miles);
    System.out.println("Tier: " + shape.getTierLevel());
    System.out.println("area: " + shape.getArea().size());

    lat = 30;
    lng = 100;
    shape = cpfb.getBoxShape(lat, lng, miles);
    System.out.println("Tier: " + shape.getTierLevel());
    System.out.println("area: " + shape.getArea().size());
  }
*/


  public void testAntiM() throws IOException, InvalidGeoException {
    searcher = new IndexSearcher(directory, true);

    final double miles = 2800.0;
        // Hawaii
        // 2300 miles to Marshall Island Airfield
    //Hawaii to Midway is 911 miles
    lat = 21.6032207;
    lng = -158.0;

    if (VERBOSE) System.out.println("testAntiM");
    // create a distance query
    final DistanceQueryBuilder dq = new DistanceQueryBuilder(lat, lng, miles,
        latField, lngField, CartesianTierPlotter.DEFALT_FIELD_PREFIX, true, 2, 15);

    if (VERBOSE) System.out.println(dq);
    //create a term query to search against all documents
    Query tq = new TermQuery(new Term("metafile", "doc"));

    FieldScoreQuery fsQuery = new FieldScoreQuery("geo_distance", Type.FLOAT);

    CustomScoreQuery customScore = new CustomScoreQuery(dq.getQuery(tq),fsQuery){

      @Override
      protected CustomScoreProvider getCustomScoreProvider(IndexReader reader) {
        return new CustomScoreProvider(reader) {
          @Override // TODO: broken, as reader is not used!
          public float customScore(int doc, float subQueryScore, float valSrcScore){
            if (VERBOSE) System.out.println(doc);
            if (dq.distanceFilter.getDistance(doc) == null)
              return 0;

            double distance = dq.distanceFilter.getDistance(doc);
            // boost score shouldn't exceed 1
            if (distance < 1.0d)
              distance = 1.0d;
            //boost by distance is invertly proportional to
            // to distance from center point to location
            float score = (float) ((miles - distance) / miles );
            return score * subQueryScore;
          }
        };
      }
      
    };
    // Create a distance sort
    // As the radius filter has performed the distance calculations
    // already, pass in the filter to reuse the results.
    //
    DistanceFieldComparatorSource dsort = new DistanceFieldComparatorSource(dq.distanceFilter);
    Sort sort = new Sort(new SortField("foo", dsort,false));

    // Perform the search, using the term query, the serial chain filter, and the
    // distance sort
    TopDocs hits = searcher.search(customScore.createWeight(searcher),null, 1000, sort);
    int results = hits.totalHits;
    ScoreDoc[] scoreDocs = hits.scoreDocs; 
    
    // Get a list of distances
    Map<Integer,Double> distances = dq.distanceFilter.getDistances();

    // distances calculated from filter first pass must be less than total
    // docs, from the above test of 20 items, 12 will come from the boundary box
    // filter, but only 5 are actually in the radius of the results.

    // Note Boundary Box filtering, is not accurate enough for most systems.


    if (VERBOSE) {
      System.out.println("Distance Filter filtered: " + distances.size());
      System.out.println("Results: " + results);
      System.out.println("=============================");
      System.out.println("Distances should be 2 "+ distances.size());
      System.out.println("Results should be 2 "+ results);
    }

    assertEquals(2, distances.size()); // fixed a store of only needed distances
    assertEquals(2, results);
    double lastDistance = 0;
    for(int i =0 ; i < results; i++){
      Document d = searcher.doc(scoreDocs[i].doc);

      String name = d.get("name");
      double rsLat = NumericUtils.prefixCodedToDouble(d.get(latField));
      double rsLng = NumericUtils.prefixCodedToDouble(d.get(lngField));
      Double geo_distance = distances.get(scoreDocs[i].doc);

      double distance = DistanceUtils.getDistanceMi(lat, lng, rsLat, rsLng);
      double llm = DistanceUtils.getLLMDistance(lat, lng, rsLat, rsLng);
      if (VERBOSE) System.out.println("Name: "+ name +", Distance "+ distance); //(res, ortho, harvesine):"+ distance +" |"+ geo_distance +"|"+ llm +" | score "+ hits.score(i));
      assertTrue(Math.abs((distance - llm)) < 1);
      assertTrue((distance < miles ));
      assertTrue(geo_distance >= lastDistance);
      lastDistance = geo_distance;
    }
    searcher.close();
  }

  public void testPoleFlipping() throws IOException, InvalidGeoException {
    searcher = new IndexSearcher(directory, true);

    final double miles = 3500.0;
    lat = 41.6032207;
    lng = -73.087749;

    if (VERBOSE) System.out.println("testPoleFlipping");

    // create a distance query
    final DistanceQueryBuilder dq = new DistanceQueryBuilder(lat, lng, miles,
        latField, lngField, CartesianTierPlotter.DEFALT_FIELD_PREFIX, true, 2, 15);

    if (VERBOSE) System.out.println(dq);
    //create a term query to search against all documents
    Query tq = new TermQuery(new Term("metafile", "doc"));

    FieldScoreQuery fsQuery = new FieldScoreQuery("geo_distance", Type.FLOAT);

    CustomScoreQuery customScore = new CustomScoreQuery(dq.getQuery(tq),fsQuery){

      @Override
      protected CustomScoreProvider getCustomScoreProvider(IndexReader reader) {
        return new CustomScoreProvider(reader) {
          @Override // TODO: broken, as reader is not used!
          public float customScore(int doc, float subQueryScore, float valSrcScore){
            if (VERBOSE) System.out.println(doc);
            if (dq.distanceFilter.getDistance(doc) == null)
              return 0;

            double distance = dq.distanceFilter.getDistance(doc);
            // boost score shouldn't exceed 1
            if (distance < 1.0d)
              distance = 1.0d;
            //boost by distance is invertly proportional to
            // to distance from center point to location
            float score = (float) ((miles - distance) / miles );
            return score * subQueryScore;
          }
        };
      }
      
    };
    // Create a distance sort
    // As the radius filter has performed the distance calculations
    // already, pass in the filter to reuse the results.
    //
    DistanceFieldComparatorSource dsort = new DistanceFieldComparatorSource(dq.distanceFilter);
    Sort sort = new Sort(new SortField("foo", dsort,false));

    // Perform the search, using the term query, the serial chain filter, and the
    // distance sort
    TopDocs hits = searcher.search(customScore.createWeight(searcher),null, 1000, sort);
    int results = hits.totalHits;
    ScoreDoc[] scoreDocs = hits.scoreDocs; 

    // Get a list of distances
    Map<Integer,Double> distances = dq.distanceFilter.getDistances();

    // distances calculated from filter first pass must be less than total
    // docs, from the above test of 20 items, 12 will come from the boundary box
    // filter, but only 5 are actually in the radius of the results.

    // Note Boundary Box filtering, is not accurate enough for most systems.


    if (VERBOSE) {
      System.out.println("Distance Filter filtered: " + distances.size());
      System.out.println("Results: " + results);
      System.out.println("=============================");
      System.out.println("Distances should be 18 "+ distances.size());
      System.out.println("Results should be 18 "+ results);
    }

    assertEquals(18, distances.size()); // fixed a store of only needed distances
    assertEquals(18, results);
    double lastDistance = 0;
    for(int i =0 ; i < results; i++){
      Document d = searcher.doc(scoreDocs[i].doc);
      String name = d.get("name");
      double rsLat = NumericUtils.prefixCodedToDouble(d.get(latField));
      double rsLng = NumericUtils.prefixCodedToDouble(d.get(lngField));
      Double geo_distance = distances.get(scoreDocs[i].doc);

      double distance = DistanceUtils.getDistanceMi(lat, lng, rsLat, rsLng);
      double llm = DistanceUtils.getLLMDistance(lat, lng, rsLat, rsLng);
      if (VERBOSE) System.out.println("Name: "+ name +", Distance "+ distance); //(res, ortho, harvesine):"+ distance +" |"+ geo_distance +"|"+ llm +" | score "+ hits.score(i));
      assertTrue(Math.abs((distance - llm)) < 1);
      if (VERBOSE) System.out.println("checking limit "+ distance + " < " + miles);
      assertTrue((distance < miles ));
      if (VERBOSE) System.out.println("checking sort "+ geo_distance + " >= " + lastDistance);
      assertTrue(geo_distance >= lastDistance);
      lastDistance = geo_distance;
    }
    searcher.close();
  }
  
  public void testRange() throws IOException, InvalidGeoException {
    searcher = new IndexSearcher(directory, true);

    final double[] milesToTest = new double[] {6.0, 0.5, 0.001, 0.0};
    final int[] expected = new int[] {7, 1, 0, 0};

    for(int x=0;x<expected.length;x++) {
    
      final double miles = milesToTest[x];
    
      // create a distance query
      final DistanceQueryBuilder dq = new DistanceQueryBuilder(lat, lng, miles, 
                                                               latField, lngField, CartesianTierPlotter.DEFALT_FIELD_PREFIX, true, 2, 15);
     
      if (VERBOSE) System.out.println(dq);
      //create a term query to search against all documents
      Query tq = new TermQuery(new Term("metafile", "doc"));
    
      FieldScoreQuery fsQuery = new FieldScoreQuery("geo_distance", Type.FLOAT);
    
      CustomScoreQuery customScore = new CustomScoreQuery(dq.getQuery(tq),fsQuery){
        @Override
        protected CustomScoreProvider getCustomScoreProvider(IndexReader reader) {
          return new CustomScoreProvider(reader) {
            @Override // TODO: broken, as reader is not used!
            public float customScore(int doc, float subQueryScore, float valSrcScore){
              if (VERBOSE) System.out.println(doc);
              if (dq.distanceFilter.getDistance(doc) == null)
                return 0;
          
              double distance = dq.distanceFilter.getDistance(doc);
              // boost score shouldn't exceed 1
              if (distance < 1.0d)
                distance = 1.0d;
              //boost by distance is invertly proportional to
              // to distance from center point to location
              float score = (float) ( (miles - distance) / miles );
              return score * subQueryScore;
            }
          };
        }
      };
      // Create a distance sort
      // As the radius filter has performed the distance calculations
      // already, pass in the filter to reuse the results.
      // 
      DistanceFieldComparatorSource dsort = new DistanceFieldComparatorSource(dq.distanceFilter);
      Sort sort = new Sort(new SortField("foo", dsort,false));
    
      // Perform the search, using the term query, the serial chain filter, and the
      // distance sort
      TopDocs hits = searcher.search(customScore.createWeight(searcher),null, 1000, sort);
      int results = hits.totalHits;
      ScoreDoc[] scoreDocs = hits.scoreDocs; 
    
      // Get a list of distances 
      Map<Integer,Double> distances = dq.distanceFilter.getDistances();
    
      // distances calculated from filter first pass must be less than total
      // docs, from the above test of 20 items, 12 will come from the boundary box
      // filter, but only 5 are actually in the radius of the results.
    
      // Note Boundary Box filtering, is not accurate enough for most systems.
    
      if (VERBOSE) {
        System.out.println("Distance Filter filtered: " + distances.size());
        System.out.println("Results: " + results);
        System.out.println("=============================");
        System.out.println("Distances should be 7 "+ expected[x] + ":" + distances.size());
        System.out.println("Results should be 7 "+ expected[x] + ":" + results);
      }

      assertEquals(expected[x], distances.size()); // fixed a store of only needed distances
      assertEquals(expected[x], results);
      double lastDistance = 0;
      for(int i =0 ; i < results; i++){
        Document d = searcher.doc(scoreDocs[i].doc);
      
        String name = d.get("name");
        double rsLat = NumericUtils.prefixCodedToDouble(d.get(latField));
        double rsLng = NumericUtils.prefixCodedToDouble(d.get(lngField)); 
        Double geo_distance = distances.get(scoreDocs[i].doc);
      
        double distance = DistanceUtils.getDistanceMi(lat, lng, rsLat, rsLng);
        double llm = DistanceUtils.getLLMDistance(lat, lng, rsLat, rsLng);
        if (VERBOSE) System.out.println("Name: "+ name +", Distance "+ distance); //(res, ortho, harvesine):"+ distance +" |"+ geo_distance +"|"+ llm +" | score "+ hits.score(i));
        assertTrue(Math.abs((distance - llm)) < 1);
        assertTrue((distance < miles ));
        assertTrue(geo_distance > lastDistance);
        lastDistance = geo_distance;
      }
    }
    searcher.close();
  }
  
  
  
  public void testGeoHashRange() throws IOException, InvalidGeoException {
    searcher = new IndexSearcher(directory, true);
	    
    final double[] milesToTest = new double[] {6.0, 0.5, 0.001, 0.0};
    final int[] expected = new int[] {7, 1, 0, 0};

    for(int x=0;x<expected.length;x++) {
      final double miles = milesToTest[x];
	    
      // create a distance query
      final DistanceQueryBuilder dq = new DistanceQueryBuilder(lat, lng, miles, 
                                                               geoHashPrefix, CartesianTierPlotter.DEFALT_FIELD_PREFIX, true, 2, 15);
	     
      if (VERBOSE) System.out.println(dq);
      //create a term query to search against all documents
      Query tq = new TermQuery(new Term("metafile", "doc"));
	    
      FieldScoreQuery fsQuery = new FieldScoreQuery("geo_distance", Type.FLOAT);
      CustomScoreQuery customScore = new CustomScoreQuery(tq,fsQuery){
        @Override
        protected CustomScoreProvider getCustomScoreProvider(IndexReader reader) {
          return new CustomScoreProvider(reader) {
              @Override // TODO: broken, as reader is not used!
              public float customScore(int doc, float subQueryScore, float valSrcScore){
              if (VERBOSE) System.out.println(doc);
              if (dq.distanceFilter.getDistance(doc) == null)
                return 0;
            
              double distance = dq.distanceFilter.getDistance(doc);
              // boost score shouldn't exceed 1
              if (distance < 1.0d)
                distance = 1.0d;
              //boost by distance is invertly proportional to
              // to distance from center point to location
              float score = (float) ( (miles - distance) / miles );
              return score * subQueryScore;
            }
          };
        }
      };
      // Create a distance sort
      // As the radius filter has performed the distance calculations
      // already, pass in the filter to reuse the results.
      // 
      //DistanceFieldComparatorSource dsort = new DistanceFieldComparatorSource(dq.distanceFilter);
      //Sort sort = new Sort(new SortField("foo", dsort));
	    
      // Perform the search, using the term query, the serial chain filter, and the
      // distance sort
      TopDocs hits = searcher.search(customScore.createWeight(searcher),dq.getFilter(), 1000); //,sort);
      int results = hits.totalHits;
      ScoreDoc[] scoreDocs = hits.scoreDocs; 
	    
      // Get a list of distances 
      Map<Integer,Double> distances = dq.distanceFilter.getDistances();
	    
      // distances calculated from filter first pass must be less than total
      // docs, from the above test of 20 items, 12 will come from the boundary box
      // filter, but only 5 are actually in the radius of the results.
	    
      // Note Boundary Box filtering, is not accurate enough for most systems.
	    
	    if (VERBOSE) {
        System.out.println("Distance Filter filtered: " + distances.size());
        System.out.println("Results: " + results);
        System.out.println("=============================");
        System.out.println("Distances should be 14 "+ expected[x] + ":" + distances.size());
        System.out.println("Results should be 7 "+ expected[x] + ":" + results);
      }

      assertEquals(expected[x], distances.size());
      assertEquals(expected[x], results);
	    
      for(int i =0 ; i < results; i++){
        Document d = searcher.doc(scoreDocs[i].doc);
	      
        String name = d.get("name");
        double rsLat = NumericUtils.prefixCodedToDouble(d.get(latField));
        double rsLng = NumericUtils.prefixCodedToDouble(d.get(lngField)); 
        Double geo_distance = distances.get(scoreDocs[i].doc);
	      
        double distance = DistanceUtils.getDistanceMi(lat, lng, rsLat, rsLng);
        double llm = DistanceUtils.getLLMDistance(lat, lng, rsLat, rsLng);
        if (VERBOSE) System.out.println("Name: "+ name +", Distance (res, ortho, harvesine):"+ distance +" |"+ geo_distance +"|"+ llm +" | score "+ scoreDocs[i].score);
        assertTrue(Math.abs((distance - llm)) < 1);
        assertTrue((distance < miles ));
	      
      }
    }
    searcher.close();
  }
}

Other Lucene examples (source code examples)

Here is a short list of links related to this Lucene TestCartesian.java source code file:



my book on functional programming

 

new blog posts

 

Copyright 1998-2019 Alvin Alexander, alvinalexander.com
All Rights Reserved.

A percentage of advertising revenue from
pages under the /java/jwarehouse URI on this website is
paid back to open source projects.