Examples of NumericTokenStream

org.apache.lucene.analysis.NumericTokenStream
Expert: This class provides a {@link TokenStream}for indexing numeric values that can be used by {@link NumericRangeQuery} or {@link NumericRangeFilter}.
Note that for simple usage, {@link NumericField} isrecommended. {@link NumericField} disables norms andterm freqs, as they are not usually needed during searching. If you need to change these settings, you should use this class.
See {@link NumericField} for capabilities of fieldsindexed numerically.

Here's an example usage, for an int field:
```
 Field field = new Field(name, new NumericTokenStream(precisionStep).setIntValue(value)); field.setOmitNorms(true); field.setOmitTermFreqAndPositions(true); document.add(field); 
```
For optimal performance, re-use the TokenStream and Field instance for more than one document:
```
 NumericTokenStream stream = new NumericTokenStream(precisionStep); Field field = new Field(name, stream); field.setOmitNorms(true); field.setOmitTermFreqAndPositions(true); Document document = new Document(); document.add(field); for(all documents) { stream.setIntValue(value) writer.addDocument(document); } 
```
This stream is not intended to be used in analyzers; it's more for iterating the different precisions during indexing a specific numeric value.

NOTE: as token streams are only consumed once the document is added to the index, if you index more than one numeric field, use a separate NumericTokenStream instance for each.

See {@link NumericRangeQuery} for more details on theprecisionStep parameter as well as how numeric fields work under the hood.

NOTE: This API is experimental and might change in incompatible ways in the next release. @since 2.9

Examples of org.apache.lucene.analysis.NumericTokenStream

        final int precisionStep = 8;
        final double value = randomDouble();
        NumericDoubleAnalyzer analyzer = new NumericDoubleAnalyzer(precisionStep);


        final TokenStream ts1 = analyzer.tokenStream("dummy", String.valueOf(value));
        final NumericTokenStream ts2 = new NumericTokenStream(precisionStep);
        ts2.setDoubleValue(value);
        final NumericTermAttribute numTerm1 = ts1.addAttribute(NumericTermAttribute.class);
        final NumericTermAttribute numTerm2 = ts1.addAttribute(NumericTermAttribute.class);
        final PositionIncrementAttribute posInc1 = ts1.addAttribute(PositionIncrementAttribute.class);
        final PositionIncrementAttribute posInc2 = ts1.addAttribute(PositionIncrementAttribute.class);
        ts1.reset();
        ts2.reset();
        while (ts1.incrementToken()) {
            assertThat(ts2.incrementToken(), is(true));
            assertThat(posInc1, equalTo(posInc2));
            // can't use equalTo directly on the numeric attribute cause it doesn't implement equals (LUCENE-5070)
            assertThat(numTerm1.getRawValue(), equalTo(numTerm2.getRawValue()));
            assertThat(numTerm2.getShift(), equalTo(numTerm2.getShift()));
        }
        assertThat(ts2.incrementToken(), is(false));
        ts1.end();
        ts2.end();
    }

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Examples of org.apache.lucene.analysis.NumericTokenStream

 *
 */
public class NumericFloatTokenizer extends NumericTokenizer {


    public NumericFloatTokenizer(int precisionStep, char[] buffer) throws IOException {
        super(new NumericTokenStream(precisionStep), buffer, null);
    }

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Examples of org.apache.lucene.analysis.NumericTokenStream

   * @param index if the field should be indexed using {@link NumericTokenStream}
   */
  public NumericField(String name, int precisionStep, Field.Store store, boolean index) {
    super(name, store, index ? Field.Index.ANALYZED_NO_NORMS : Field.Index.NO, Field.TermVector.NO);
    setOmitTermFreqAndPositions(true);
    numericTS = new NumericTokenStream(precisionStep);
  }

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