Package org.apache.lucene.index

Examples of org.apache.lucene.index.RandomIndexWriter$MockIndexWriter

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  @Override
  public void setUp() throws Exception {
    super.setUp();
    directory = newDirectory();
    RandomIndexWriter writer = new RandomIndexWriter(random, directory,
        newIndexWriterConfig(TEST_VERSION_CURRENT, new PayloadAnalyzer())
        .setSimilarity(similarity).setMergePolicy(newLogMergePolicy()));
    //writer.infoStream = System.out;
    for (int i = 0; i < 1000; i++) {
      Document doc = new Document();
      Field noPayloadField = newField(PayloadHelper.NO_PAYLOAD_FIELD, English.intToEnglish(i), Field.Store.YES, Field.Index.ANALYZED);
      //noPayloadField.setBoost(0);
      doc.add(noPayloadField);
      doc.add(newField("field", English.intToEnglish(i), Field.Store.YES, Field.Index.ANALYZED));
      doc.add(newField("multiField", English.intToEnglish(i) + "  " + English.intToEnglish(i), Field.Store.YES, Field.Index.ANALYZED));
      writer.addDocument(doc);
    }
    reader = writer.getReader();
    writer.close();

    searcher = newSearcher(reader);
    searcher.setSimilarity(similarity);
  }
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  private float  checkPhraseQuery(Document doc, PhraseQuery query, int slop, int expectedNumResults) throws Exception {
    query.setSlop(slop);

    Directory ramDir = newDirectory();
    RandomIndexWriter writer = new RandomIndexWriter(random, ramDir, new MockAnalyzer(random, MockTokenizer.WHITESPACE, false));
    writer.addDocument(doc);

    IndexReader reader = writer.getReader();

    IndexSearcher searcher = newSearcher(reader);
    TopDocs td = searcher.search(query,null,10);
    //System.out.println("slop: "+slop+"  query: "+query+"  doc: "+doc+"  Expecting number of hits: "+expectedNumResults+" maxScore="+td.getMaxScore());
    assertEquals("slop: "+slop+"  query: "+query+"  doc: "+doc+"  Wrong number of hits", expectedNumResults, td.totalHits);

    //QueryUtils.check(query,searcher);
    writer.close();
    searcher.close();
    reader.close();
    ramDir.close();

    return td.getMaxScore();
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*/
public class TestNot extends LuceneTestCase {

  public void testNot() throws Exception {
    Directory store = newDirectory();
    RandomIndexWriter writer = new RandomIndexWriter(random, store);

    Document d1 = new Document();
    d1.add(newField("field", "a b", Field.Store.YES, Field.Index.ANALYZED));

    writer.addDocument(d1);
    IndexReader reader = writer.getReader();

    IndexSearcher searcher = newSearcher(reader);
      QueryParser parser = new QueryParser(TEST_VERSION_CURRENT, "field", new MockAnalyzer(random));
    Query query = parser.parse("a NOT b");
    //System.out.println(query);
    ScoreDoc[] hits = searcher.search(query, null, 1000).scoreDocs;
    assertEquals(0, hits.length);
    writer.close();
    searcher.close();
    reader.close();
    store.close();
  }
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  }

  @BeforeClass
  public static void beforeClass() throws Exception {
    directory = newDirectory();
    RandomIndexWriter writer = new RandomIndexWriter(random, directory,
        newIndexWriterConfig(TEST_VERSION_CURRENT, new PayloadAnalyzer())
        .setSimilarity(similarity));
    //writer.infoStream = System.out;
    for (int i = 0; i < 1000; i++) {
      Document doc = new Document();
      doc.add(newField("field", English.intToEnglish(i), Field.Store.YES, Field.Index.ANALYZED));
      String txt = English.intToEnglish(i) +' '+English.intToEnglish(i+1);
      doc.add(newField("field2",  txt, Field.Store.YES, Field.Index.ANALYZED));
      writer.addDocument(doc);
    }
    reader = writer.getReader();
    writer.close();

    searcher = newSearcher(reader);
    searcher.setSimilarity(similarity);
  }
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  @Override
  public void setUp() throws Exception {
    super.setUp();
    directory = newDirectory();
    RandomIndexWriter writer= new RandomIndexWriter(random, directory, newIndexWriterConfig(TEST_VERSION_CURRENT, new MockAnalyzer(random)).setMergePolicy(newLogMergePolicy()));
    long theLong = Long.MAX_VALUE;
    double theDouble = Double.MAX_VALUE;
    byte theByte = Byte.MAX_VALUE;
    short theShort = Short.MAX_VALUE;
    int theInt = Integer.MAX_VALUE;
    float theFloat = Float.MAX_VALUE;
    for (int i = 0; i < NUM_DOCS; i++){
      Document doc = new Document();
      doc.add(newField("theLong", String.valueOf(theLong--), Field.Store.NO, Field.Index.NOT_ANALYZED));
      doc.add(newField("theDouble", String.valueOf(theDouble--), Field.Store.NO, Field.Index.NOT_ANALYZED));
      doc.add(newField("theByte", String.valueOf(theByte--), Field.Store.NO, Field.Index.NOT_ANALYZED));
      doc.add(newField("theShort", String.valueOf(theShort--), Field.Store.NO, Field.Index.NOT_ANALYZED));
      doc.add(newField("theInt", String.valueOf(theInt--), Field.Store.NO, Field.Index.NOT_ANALYZED));
      doc.add(newField("theFloat", String.valueOf(theFloat--), Field.Store.NO, Field.Index.NOT_ANALYZED));
      writer.addDocument(doc);
    }
    writer.close();
    reader = IndexReader.open(directory, true);
  }
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  @Override
  public void setUp() throws Exception {
    super.setUp();
   
    index = newDirectory();
    RandomIndexWriter writer = new RandomIndexWriter(random, index,
        newIndexWriterConfig( TEST_VERSION_CURRENT, new MockAnalyzer(random))
                                                     .setSimilarity(sim).setMergePolicy(newLogMergePolicy()));
   
    // hed is the most important field, dek is secondary
   
    // d1 is an "ok" match for: albino elephant
    {
      Document d1 = new Document();
      d1.add(newField("id", "d1", Field.Store.YES, Field.Index.NOT_ANALYZED));// Field.Keyword("id",
                                                                               // "d1"));
      d1
          .add(newField("hed", "elephant", Field.Store.YES,
              Field.Index.ANALYZED));// Field.Text("hed", "elephant"));
      d1
          .add(newField("dek", "elephant", Field.Store.YES,
              Field.Index.ANALYZED));// Field.Text("dek", "elephant"));
      writer.addDocument(d1);
    }
   
    // d2 is a "good" match for: albino elephant
    {
      Document d2 = new Document();
      d2.add(newField("id", "d2", Field.Store.YES, Field.Index.NOT_ANALYZED));// Field.Keyword("id",
                                                                               // "d2"));
      d2
          .add(newField("hed", "elephant", Field.Store.YES,
              Field.Index.ANALYZED));// Field.Text("hed", "elephant"));
      d2.add(newField("dek", "albino", Field.Store.YES, Field.Index.ANALYZED));// Field.Text("dek",
                                                                                // "albino"));
      d2
          .add(newField("dek", "elephant", Field.Store.YES,
              Field.Index.ANALYZED));// Field.Text("dek", "elephant"));
      writer.addDocument(d2);
    }
   
    // d3 is a "better" match for: albino elephant
    {
      Document d3 = new Document();
      d3.add(newField("id", "d3", Field.Store.YES, Field.Index.NOT_ANALYZED));// Field.Keyword("id",
                                                                               // "d3"));
      d3.add(newField("hed", "albino", Field.Store.YES, Field.Index.ANALYZED));// Field.Text("hed",
                                                                                // "albino"));
      d3
          .add(newField("hed", "elephant", Field.Store.YES,
              Field.Index.ANALYZED));// Field.Text("hed", "elephant"));
      writer.addDocument(d3);
    }
   
    // d4 is the "best" match for: albino elephant
    {
      Document d4 = new Document();
      d4.add(newField("id", "d4", Field.Store.YES, Field.Index.NOT_ANALYZED));// Field.Keyword("id",
                                                                               // "d4"));
      d4.add(newField("hed", "albino", Field.Store.YES, Field.Index.ANALYZED));// Field.Text("hed",
                                                                                // "albino"));
      d4
          .add(newField("hed", "elephant", Field.Store.YES,
              Field.Index.ANALYZED));// Field.Text("hed", "elephant"));
      d4.add(newField("dek", "albino", Field.Store.YES, Field.Index.ANALYZED));// Field.Text("dek",
                                                                                // "albino"));
      writer.addDocument(d4);
    }

    writer.optimize();
    r = writer.getReader();
    writer.close();
    s = newSearcher(r);
    s.setSimilarity(sim);
  }
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  private static IndexSearcher searcher;

  @BeforeClass
  public static void beforeClass() throws Exception {
    directory = newDirectory();
    RandomIndexWriter writer = new RandomIndexWriter(random, directory);

    Document doc = new Document();
    Field field = newField(FIELD, "meaninglessnames", Field.Store.NO,
        Field.Index.NOT_ANALYZED_NO_NORMS);
    doc.add(field);
   
    for (int i = 0; i < 5137; ++i) {
      writer.addDocument(doc);
    }
   
    field.setValue("tangfulin");
    writer.addDocument(doc);

    field.setValue("meaninglessnames");
    for (int i = 5138; i < 11377; ++i) {
      writer.addDocument(doc);
    }
   
    field.setValue("tangfulin");
    writer.addDocument(doc);
   
    reader = writer.getReader();
    searcher = newSearcher(reader);
    writer.close();
  }
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  private static IndexSearcher searcher = null;
 
  @BeforeClass
  public static void beforeClass() throws Exception {
    directory = newDirectory();
    RandomIndexWriter writer = new RandomIndexWriter(random, directory,
        newIndexWriterConfig(TEST_VERSION_CURRENT, new MockAnalyzer(random))
        .setMaxBufferedDocs(_TestUtil.nextInt(random, 50, 1000))
        .setMergePolicy(newLogMergePolicy()));
   
    NumericField
      field8 = new NumericField("field8", 8, Field.Store.YES, true),
      field4 = new NumericField("field4", 4, Field.Store.YES, true),
      field2 = new NumericField("field2", 2, Field.Store.YES, true),
      fieldNoTrie = new NumericField("field"+Integer.MAX_VALUE, Integer.MAX_VALUE, Field.Store.YES, true),
      ascfield8 = new NumericField("ascfield8", 8, Field.Store.NO, true),
      ascfield4 = new NumericField("ascfield4", 4, Field.Store.NO, true),
      ascfield2 = new NumericField("ascfield2", 2, Field.Store.NO, true);
   
    Document doc = new Document();
    // add fields, that have a distance to test general functionality
    doc.add(field8); doc.add(field4); doc.add(field2); doc.add(fieldNoTrie);
    // add ascending fields with a distance of 1, beginning at -noDocs/2 to test the correct splitting of range and inclusive/exclusive
    doc.add(ascfield8); doc.add(ascfield4); doc.add(ascfield2);
   
    // Add a series of noDocs docs with increasing int values
    for (int l=0; l<noDocs; l++) {
      int val=distance*l+startOffset;
      field8.setIntValue(val);
      field4.setIntValue(val);
      field2.setIntValue(val);
      fieldNoTrie.setIntValue(val);

      val=l-(noDocs/2);
      ascfield8.setIntValue(val);
      ascfield4.setIntValue(val);
      ascfield2.setIntValue(val);
      writer.addDocument(doc);
    }
 
    reader = writer.getReader();
    searcher=newSearcher(reader);
    writer.close();
  }
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*/
public class TestDocBoost extends LuceneTestCase {

  public void testDocBoost() throws Exception {
    Directory store = newDirectory();
    RandomIndexWriter writer = new RandomIndexWriter(random, store, newIndexWriterConfig(TEST_VERSION_CURRENT, new MockAnalyzer(random)).setMergePolicy(newLogMergePolicy()));

    Fieldable f1 = newField("field", "word", Field.Store.YES, Field.Index.ANALYZED);
    Fieldable f2 = newField("field", "word", Field.Store.YES, Field.Index.ANALYZED);
    f2.setBoost(2.0f);

    Document d1 = new Document();
    Document d2 = new Document();
    Document d3 = new Document();
    Document d4 = new Document();
    d3.setBoost(3.0f);
    d4.setBoost(2.0f);

    d1.add(f1);                                 // boost = 1
    d2.add(f2);                                 // boost = 2
    d3.add(f1);                                 // boost = 3
    d4.add(f2);                                 // boost = 4

    writer.addDocument(d1);
    writer.addDocument(d2);
    writer.addDocument(d3);
    writer.addDocument(d4);

    IndexReader reader = writer.getReader();
    writer.close();

    final float[] scores = new float[4];

    newSearcher(reader).search
      (new TermQuery(new Term("field", "word")),
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  private static int mulFactor;

  @BeforeClass
  public static void beforeClass() throws Exception {
    directory = newDirectory();
    RandomIndexWriter writer= new RandomIndexWriter(random, directory, newIndexWriterConfig(TEST_VERSION_CURRENT, new MockAnalyzer(random)).setMergePolicy(newLogMergePolicy()));
    for (int i = 0; i < docFields.length; i++) {
      Document doc = new Document();
      doc.add(newField(field, docFields[i], Field.Store.NO, Field.Index.ANALYZED));
      writer.addDocument(doc);
    }
    writer.close();
    searcher = new IndexSearcher(directory, true);

    // Make big index
    dir2 = new MockDirectoryWrapper(random, new RAMDirectory(directory));

    // First multiply small test index:
    mulFactor = 1;
    int docCount = 0;
    do {
      final Directory copy = new MockDirectoryWrapper(random, new RAMDirectory(dir2));
      RandomIndexWriter w = new RandomIndexWriter(random, dir2);
      w.addIndexes(new Directory[] {copy});
      docCount = w.maxDoc();
      w.close();
      mulFactor *= 2;
    } while(docCount < 3000);

    RandomIndexWriter w = new RandomIndexWriter(random, dir2,
        newIndexWriterConfig(TEST_VERSION_CURRENT, new MockAnalyzer(random))
        .setMaxBufferedDocs(_TestUtil.nextInt(random, 50, 1000)));
    Document doc = new Document();
    doc.add(newField("field2", "xxx", Field.Store.NO, Field.Index.ANALYZED));
    for(int i=0;i<NUM_EXTRA_DOCS/2;i++) {
      w.addDocument(doc);
    }
    doc = new Document();
    doc.add(newField("field2", "big bad bug", Field.Store.NO, Field.Index.ANALYZED));
    for(int i=0;i<NUM_EXTRA_DOCS/2;i++) {
      w.addDocument(doc);
    }
    reader = w.getReader();
    bigSearcher = newSearcher(reader);
    w.close();
  }
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