Examples of org.apache.lucene.document.IntField

org.apache.lucene.document.IntField
Field that indexes int values for efficient range filtering and sorting. Here's an example usage:
```
 document.add(new IntField(name, 6, Field.Store.NO)); 
```
For optimal performance, re-use the IntField and {@link Document} instance for more than one document:
```
 IntField field = new IntField(name, 6, Field.Store.NO); Document document = new Document(); document.add(field); for(all documents) { ... field.setIntValue(value) writer.addDocument(document); ... } 
```
See also {@link LongField}, {@link FloatField}, {@link DoubleField}.
To perform range querying or filtering against a IntField, use {@link NumericRangeQuery} or {@link NumericRangeFilter}. To sort according to a IntField, use the normal numeric sort types, eg {@link org.apache.lucene.search.SortField.Type#INT}. IntField values can also be loaded directly from {@link FieldCache}.

You may add the same field name as an IntField to the same document more than once. Range querying and filtering will be the logical OR of all values; so a range query will hit all documents that have at least one value in the range. However sort behavior is not defined. If you need to sort, you should separately index a single-valued IntField.

An IntField will consume somewhat more disk space in the index than an ordinary single-valued field. However, for a typical index that includes substantial textual content per document, this increase will likely be in the noise.

Within Lucene, each numeric value is indexed as a trie structure, where each term is logically assigned to larger and larger pre-defined brackets (which are simply lower-precision representations of the value). The step size between each successive bracket is called the precisionStep, measured in bits. Smaller precisionStep values result in larger number of brackets, which consumes more disk space in the index but may result in faster range search performance. The default value, 4, was selected for a reasonable tradeoff of disk space consumption versus performance. You can create a custom {@link FieldType} and invoke the {@link FieldType#setNumericPrecisionStep} method if you'dlike to change the value. Note that you must also specify a congruent value when creating {@link NumericRangeQuery} or {@link NumericRangeFilter}. For low cardinality fields larger precision steps are good. If the cardinality is < 100, it is fair to use {@link Integer#MAX_VALUE}, which produces one term per value.
For more information on the internals of numeric trie indexing, including the precisionStep configuration, see {@link NumericRangeQuery}. The format of indexed values is described in {@link NumericUtils}.
If you only need to sort by numeric value, and never run range querying/filtering, you can index using a precisionStep of {@link Integer#MAX_VALUE}. This will minimize disk space consumed.

More advanced users can instead use {@link NumericTokenStream} directly, when indexing numbers. Thisclass is a wrapper around this token stream type for easier, more intuitive usage.
@since 2.9


  @Override
  public Iterable<? extends Field> getFieldsForSubColumn(String family, Column column, String subName) {
    String name = getName(family, column.getName(), subName);
    int value = Integer.parseInt(column.getValue());
    IntField field = new IntField(name, value, _typeNotStored);
    if (isSortEnable()) {
      return addSort(name, value, field);
    }
    return makeIterable(field);
  }

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    IndexWriter indexWriter = new IndexWriter(directory, new IndexWriterConfig(LUCENE_VERSION, new KeywordAnalyzer()));
    for (int i = 0; i < length; i++) {
      Document document = new Document();
      document.add(new StringField("f1", "value", Store.NO));
      document.add(new IntDocValuesField("index", i));
      document.add(new IntField("index", i, Store.YES));
      indexWriter.addDocument(document);
    }
    indexWriter.close();
    return DirectoryReader.open(directory);
  }

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    }
  }


  private Document getDoc(int i) {
    Document document = new Document();
    document.add(new IntField("id", i, Store.YES));
    return document;
  }

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    indexWriter.close();
  }


  private static Document getDoc(int i) {
    Document document = new Document();
    document.add(new IntField("id", i, Store.YES));
    return document;
  }

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    unstoredInt4.setNumericPrecisionStep(4);


    final FieldType unstoredInt2 = new FieldType(unstoredInt);
    unstoredInt2.setNumericPrecisionStep(2);


    IntField
      field8 = new IntField("field8", 0, storedInt8),
      field4 = new IntField("field4", 0, storedInt4),
      field2 = new IntField("field2", 0, storedInt2),
      fieldNoTrie = new IntField("field"+Integer.MAX_VALUE, 0, storedIntNone),
      ascfield8 = new IntField("ascfield8", 0, unstoredInt8),
      ascfield4 = new IntField("ascfield4", 0, unstoredInt4),
      ascfield2 = new IntField("ascfield2", 0, unstoredInt2);
    
    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);

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      } else {
        // int/long
        if (random().nextBoolean()) {
          final int i = random().nextInt();
          answer = Integer.valueOf(i);
          nf = new IntField("nf", i, Field.Store.NO);
          sf = new StoredField("nf", i);
          typeAnswer = NumericType.INT;
        } else {
          final long l = random().nextLong();
          answer = Long.valueOf(l);
          nf = new LongField("nf", l, Field.Store.NO);
          sf = new StoredField("nf", l);
          typeAnswer = NumericType.LONG;
        }
      }
      doc.add(nf);
      doc.add(sf);
      answers[id] = answer;
      typeAnswers[id] = typeAnswer;
      FieldType ft = new FieldType(IntField.TYPE_NOT_STORED);
      ft.setNumericPrecisionStep(Integer.MAX_VALUE);
      doc.add(new IntField("id", id, ft));
      w.addDocument(doc);
    }
    final DirectoryReader r = w.getReader();
    w.close();

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    doc.add(new Field("autf8", "Lu\uD834\uDD1Ece\uD834\uDD60ne \u0000 \u2620 ab\ud917\udc17cd", customType2));
    doc.add(new Field("utf8", "Lu\uD834\uDD1Ece\uD834\uDD60ne \u0000 \u2620 ab\ud917\udc17cd", customType2));
    doc.add(new Field("content2", "here is more content with aaa aaa aaa", customType2));
    doc.add(new Field("fie\u2C77ld", "field with non-ascii name", customType2));
    // add numeric fields, to test if flex preserves encoding
    doc.add(new IntField("trieInt", id, Field.Store.NO));
    doc.add(new LongField("trieLong", (long) id, Field.Store.NO));
    // add docvalues fields
    doc.add(new NumericDocValuesField("dvByte", (byte) id));
    byte bytes[] = new byte[] {
      (byte)(id >>> 24), (byte)(id >>> 16),(byte)(id >>> 8),(byte)id

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    }


    final FieldType type = new FieldType(StringField.TYPE_STORED);
    type.setIndexed(false);
    type.freeze();
    IntField id = new IntField("id", 0, Store.YES);
    for (int i = 0; i < data.length; ++i) {
      Document doc = new Document();
      doc.add(id);
      id.setIntValue(i);
      for (int j = 0; j < data[i].length; ++j) {
        Field f = new Field("bytes" + j, data[i][j], type);
        doc.add(f);
      }
      iw.w.addDocument(doc);

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    List<Field> fields = Arrays.asList(
        new Field("bytes", bytes, ft),
        new Field("string", string, ft),
        new LongField("long", l, Store.YES),
        new IntField("int", i, Store.YES),
        new FloatField("float", f, Store.YES),
        new DoubleField("double", d, Store.YES)
    );


    for (int k = 0; k < 100; ++k) {

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    iwConf.setMergePolicy(newLogMergePolicy(false));
    iw.close();
    iw = new RandomIndexWriter(random(), dir, iwConf);


    final Document validDoc = new Document();
    validDoc.add(new IntField("id", 0, Store.YES));
    iw.addDocument(validDoc);
    iw.commit();
    
    // make sure that #writeField will fail to trigger an abort
    final Document invalidDoc = new Document();

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