Examples of org.apache.lucene.document.FieldType.freeze()

Class org.apache.lucene.document.FieldType

Examples of org.apache.lucene.document.FieldType.freeze()

org.apache.lucene.document.FieldType.freeze()
Prevents future changes. Note, it is recommended that this is called once the FieldTypes's properties have been set, to prevent unintentional state changes.

    Document doc = new Document();
    FieldType type = new FieldType(TextField.TYPE_STORED);
    type.setStoreTermVectorOffsets(true);
    type.setStoreTermVectorPositions(true);
    type.setStoreTermVectors(true);
    type.freeze();
    Field longTermField = new Field("long_term", "This is a test thisisaverylongwordandmakessurethisfails where foo is highlighed and should be highlighted", type);
    Field noLongTermField = new Field("no_long_term", "This is a test where foo is highlighed and should be highlighted", type);


    doc.add(longTermField);
    doc.add(noLongTermField);

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    Document doc = new Document();
    FieldType type = new FieldType( TextField.TYPE_STORED  );
    type.setStoreTermVectorOffsets( true );
    type.setStoreTermVectorPositions( true );
    type.setStoreTermVectors( true );
    type.freeze();
    StringBuilder text = new StringBuilder();
    text.append("words words junk junk junk junk junk junk junk junk highlight junk junk junk junk together junk ");
    for ( int i = 0; i<10; i++ ) {
      text.append("junk junk junk junk junk junk junk junk junk junk junk junk junk junk junk junk junk junk junk junk ");
    }

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    IndexWriter writer = new IndexWriter(dir, newIndexWriterConfig(TEST_VERSION_CURRENT,  new MockAnalyzer(random(), MockTokenizer.SIMPLE, true, MockTokenFilter.ENGLISH_STOPSET)));
    FieldType type = new FieldType(TextField.TYPE_STORED);
    type.setStoreTermVectorOffsets(true);
    type.setStoreTermVectorPositions(true);
    type.setStoreTermVectors(true);
    type.freeze();
    String[] texts = {
        "Hello this is a piece of text that is very long and contains too much preamble and the meat is really here which says kennedy has been shot",
        "This piece of text refers to Kennedy at the beginning then has a longer piece of text that is very long in the middle and finally ends with another reference to Kennedy",
        "JFK has been shot", "John Kennedy has been shot",
        "This text has a typo in referring to Keneddy",

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    Document doc = new Document();
    FieldType type = new FieldType( TextField.TYPE_STORED );
    type.setStoreTermVectorOffsets( true );
    type.setStoreTermVectorPositions( true );
    type.setStoreTermVectors( true );
    type.freeze();
    doc.add( new Field( "field", "zero if naught", type ) ); // The first two fields contain the best match
    doc.add( new Field( "field", "hero of legend", type ) ); // but total a lower score (3) than the bottom
    doc.add( new Field( "field", "naught of hero", type ) ); // two fields (4)
    doc.add( new Field( "field", "naught of hero", type ) );
    writer.addDocument(doc);

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    Document doc = new Document();
    FieldType type = new FieldType(TextField.TYPE_NOT_STORED);
    type.setStoreTermVectorOffsets(true);
    type.setStoreTermVectorPositions(true);
    type.setStoreTermVectors(true);
    type.freeze();
    Token syn = new Token("httpwwwfacebookcom", 6, 29);
    syn.setPositionIncrement(0);
    CannedTokenStream ts = new CannedTokenStream(
        new Token("test", 0, 4),
        new Token("http", 6, 10),

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    Document doc = new Document();
    FieldType stored = new FieldType( TextField.TYPE_STORED );
    stored.setStoreTermVectorOffsets( true );
    stored.setStoreTermVectorPositions( true );
    stored.setStoreTermVectors( true );
    stored.freeze();
    FieldType matched = new FieldType( TextField.TYPE_NOT_STORED );
    matched.setStoreTermVectorOffsets( true );
    matched.setStoreTermVectorPositions( true );
    matched.setStoreTermVectors( true );
    matched.freeze();

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    stored.freeze();
    FieldType matched = new FieldType( TextField.TYPE_NOT_STORED );
    matched.setStoreTermVectorOffsets( true );
    matched.setStoreTermVectorPositions( true );
    matched.setStoreTermVectors( true );
    matched.freeze();
    doc.add( new Field( "field", fieldValue, stored ) );               // Whitespace tokenized with English stop words
    doc.add( new Field( "field_exact", fieldValue, matched ) );        // Whitespace tokenized without stop words
    doc.add( new Field( "field_super_exact", fieldValue, matched ) );  // Whitespace tokenized without toLower
    doc.add( new Field( "field_characters", fieldValue, matched ) );   // Each letter is a token
    doc.add( new Field( "field_tripples", fieldValue, matched ) );     // Every three letters is a token

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      FieldType ft = new FieldType(IntField.TYPE_NOT_STORED);
      ft.setNumericType(type);
      ft.setStored(true);
      ft.setNumericPrecisionStep(PRECISION_STEP);
      ft.freeze();
      final Field field;


      switch(type) {
      case INT:
        field = new IntField(type.name(), 0, ft);

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      }
      FieldType ft = new FieldType();
      ft.setIndexOptions(opts);
      ft.setIndexed(true);
      ft.setOmitNorms(true);
      ft.freeze();
      final int numFields = random().nextInt(5);
      for (int j = 0; j < numFields; ++j) {
        doc.add(new Field("f_" + opts, TestUtil.randomSimpleString(random(), 2), ft));
      }
    }

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    FieldType ft = new FieldType(TextField.TYPE_NOT_STORED);
    ft.setStoreTermVectors(true);
    ft.setStoreTermVectorPositions(options.positions);
    ft.setStoreTermVectorOffsets(options.offsets);
    ft.setStoreTermVectorPayloads(options.payloads);
    ft.freeze();
    return ft;
  }


  protected BytesRef randomPayload() {
    final int len = random().nextInt(5);

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