Package org.apache.lucene.document.FieldType

Examples of org.apache.lucene.document.FieldType.NumericType

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    for(int id=0;id<numDocs;id++) {
      Document doc = new Document();
      final Field nf;
      final Field sf;
      final Number answer;
      final NumericType typeAnswer;
      if (random().nextBoolean()) {
        // float/double
        if (random().nextBoolean()) {
          final float f = random().nextFloat();
          answer = Float.valueOf(f);
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      flags.append(dvToString(info.getNormType()));
    }
    else flags.append("----");
    if (numeric != null) {
      flags.append("#");
      NumericType nt = t.numericType();
      if (nt != null) {
        flags.append(nt.toString().charAt(0));
        int prec = t.numericPrecisionStep();
        String p = Integer.toHexString(prec);
        if (p.length() == 1) {
          p = "0" + p;
        }
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    else {
      upperNumber = null;
    }

    final NumericAnalyzer numericAnalyzer = numericRangeNode.getNumericAnalyzer();
    final NumericType numberType = numericRangeNode.getNumericType();
    final String field = numericRangeNode.getField().toString();
    final boolean minInclusive = numericRangeNode.isLowerInclusive();
    final boolean maxInclusive = numericRangeNode.isUpperInclusive();
    final int precisionStep = numericAnalyzer.getPrecisionStep();
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  public TokenStream tokenStream(Analyzer analyzer) throws IOException {
    if (!fieldType().indexed()) {
      return null;
    }

    final NumericType numericType = fieldType().numericType();
    if (numericType != null) {
      if (!(internalTokenStream instanceof NumericTokenStream)) {
        // lazy init the TokenStream as it is heavy to instantiate
        // (attributes,...) if not needed (stored field loading)
        internalTokenStream = new NumericTokenStream(type.numericPrecisionStep());
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  private void buildDocument(Document document, Serializer serializer) {
    final List<IndexableField> docFields = document.getFields();
    serializer.fields( docFields );
    for ( IndexableField fieldable : docFields ) {
      final FieldType fieldType = (FieldType) fieldable.fieldType();
      final NumericType numericType = fieldType.numericType();
      if ( numericType != null ) {
        LuceneNumericFieldContext context = new LuceneNumericFieldContext( fieldType, fieldable.name(), fieldable.boost() );
        switch ( numericType ) {
          case INT:
            serializer.addIntNumericField( fieldable.numericValue().intValue(), context );
            break;
          case LONG:
            serializer.addLongNumericField( fieldable.numericValue().longValue(), context );
            break;
          case FLOAT:
            serializer.addFloatNumericField( fieldable.numericValue().floatValue(), context );
            break;
          case DOUBLE:
            serializer.addDoubleNumericField( fieldable.numericValue().doubleValue(), context );
            break;
          default:
            String dataType = numericType.toString();
            throw log.unknownNumericFieldType( dataType );
        }
      }
      else if (fieldable instanceof Field) {
        Field safeField = (Field) fieldable;
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    for(int id=0;id<numDocs;id++) {
      Document doc = new Document();
      final Field nf;
      final Field sf;
      final Number answer;
      final NumericType typeAnswer;
      if (random().nextBoolean()) {
        // float/double
        if (random().nextBoolean()) {
          final float f = random().nextFloat();
          answer = Float.valueOf(f);
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  public TokenStream tokenStream(Analyzer analyzer, TokenStream reuse) throws IOException {
    if (!fieldType().indexed()) {
      return null;
    }

    final NumericType numericType = fieldType().numericType();
    if (numericType != null) {
      if (!(reuse instanceof NumericTokenStream && ((NumericTokenStream)reuse).getPrecisionStep() == type.numericPrecisionStep())) {
        // lazy init the TokenStream as it is heavy to instantiate
        // (attributes,...) if not needed (stored field loading)
        reuse = new NumericTokenStream(type.numericPrecisionStep());
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    final Document doc2 = new Document();
    for(IndexableField f : doc1.getFields()) {
      final Field field1 = (Field) f;
      final Field field2;
      final DocValuesType dvType = field1.fieldType().docValueType();
      final NumericType numType = field1.fieldType().numericType();
      if (dvType != null) {
        switch(dvType) {
          case NUMERIC:
            field2 = new NumericDocValuesField(field1.name(), field1.numericValue().longValue());
            break;
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    for(int id=0;id<numDocs;id++) {
      Document doc = new Document();
      final Field nf;
      final Field sf;
      final Number answer;
      final NumericType typeAnswer;
      if (random().nextBoolean()) {
        // float/double
        if (random().nextBoolean()) {
          final float f = random().nextFloat();
          answer = Float.valueOf(f);
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  public TokenStream tokenStream(Analyzer analyzer) throws IOException {
    if (!fieldType().indexed()) {
      return null;
    }

    final NumericType numericType = fieldType().numericType();
    if (numericType != null) {
      if (!(internalTokenStream instanceof NumericTokenStream)) {
        // lazy init the TokenStream as it is heavy to instantiate
        // (attributes,...) if not needed (stored field loading)
        internalTokenStream = new NumericTokenStream(type.numericPrecisionStep());
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Related Classes of org.apache.lucene.document.FieldType.NumericType

  • org.apache.lucene.document.Field
  • org.apache.lucene.index.BaseStoredFieldsFormatTestCase
  • org.apache.lucene.index.TestFieldsReader
  • org.apache.lucene.queryparser.flexible.standard.builders.NumericRangeQueryNodeBuilder
  • org.apache.lucene.queryparser.flexible.standard.nodes.NumericRangeQueryNode
  • org.apache.lucene.util.TestUtil
  • org.fao.geonet.kernel.csw.services.getrecords.CatalogSearcher
  • org.getopt.luke.Util
  • org.hibernate.search.indexes.serialization.impl.LuceneWorkSerializerImpl
  • org.sindice.siren.qparser.keyword.builders.NodeNumericRangeQueryNodeBuilder
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