## org.apache.lucene.analysis
Class NumericTokenStream

    java.lang.Object
      org.apache.lucene.util.AttributeSource
          org.apache.lucene.analysis.TokenStream
              org.apache.lucene.analysis.NumericTokenStream

All Implemented Interfaces:
  Closeable

    public final class NumericTokenStream

extends TokenStream

Expert: This class provides a `TokenStream` for indexing numeric values that can be used by `NumericRangeQuery` or `NumericRangeFilter`.

Note that for simple usage, `IntField`, `LongField`, `FloatField` or `DoubleField` is recommended. These fields disable norms and term freqs, as they are not usually needed during searching. If you need to change these settings, you should use this class.

Here's an example usage, for an `int` field:

      FieldType fieldType = new FieldType(TextField.TYPE_NOT_STORED);
      fieldType.setOmitNorms(true);
      fieldType.setIndexOptions(IndexOptions.DOCS_ONLY);
      Field field = new Field(name, new NumericTokenStream(precisionStep).setIntValue(value), fieldType);
      document.add(field);

For optimal performance, re-use the TokenStream and Field instance for more than one document:

      NumericTokenStream stream = new NumericTokenStream(precisionStep);
      FieldType fieldType = new FieldType(TextField.TYPE_NOT_STORED);
      fieldType.setOmitNorms(true);
      fieldType.setIndexOptions(IndexOptions.DOCS_ONLY);
      Field field = new Field(name, stream, fieldType);
      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 `NumericRangeQuery` for more details on the `precisionStep` parameter as well as how numeric fields work under the hood.

Since:
  2.9

Nested Class Summary
`static interface` `NumericTokenStream.NumericTermAttribute` Expert: Use this attribute to get the details of the currently generated token.
`static class` `NumericTokenStream.NumericTermAttributeImpl` Implementation of `NumericTokenStream.NumericTermAttribute`.

Nested classes/interfaces inherited from class org.apache.lucene.util.AttributeSource
`AttributeSource.AttributeFactory, AttributeSource.State`

Field Summary
`static String` `TOKEN_TYPE_FULL_PREC` The full precision token gets this token type assigned.
`static String` `TOKEN_TYPE_LOWER_PREC` The lower precision tokens gets this token type assigned.

Constructor Summary
`NumericTokenStream()` Creates a token stream for numeric values using the default `precisionStep` `NumericUtils.PRECISION_STEP_DEFAULT` (4).
`NumericTokenStream(AttributeSource.AttributeFactory factory, int precisionStep)` Expert: Creates a token stream for numeric values with the specified `precisionStep` using the given `AttributeSource.AttributeFactory`.
`NumericTokenStream(int precisionStep)` Creates a token stream for numeric values with the specified `precisionStep`.

Method Summary
`int` `getPrecisionStep()` Returns the precision step.
`boolean` `incrementToken()` Consumers (i.e., `IndexWriter`) use this method to advance the stream to the next token.
`void` `reset()` This method is called by a consumer before it begins consumption using `TokenStream.incrementToken()`.
`NumericTokenStream` `setDoubleValue(double value)` Initializes the token stream with the supplied `double` value.
`NumericTokenStream` `setFloatValue(float value)` Initializes the token stream with the supplied `float` value.
`NumericTokenStream` `setIntValue(int value)` Initializes the token stream with the supplied `int` value.
`NumericTokenStream` `setLongValue(long value)` Initializes the token stream with the supplied `long` value.

Methods inherited from class org.apache.lucene.analysis.TokenStream
`close, end`

Methods inherited from class org.apache.lucene.util.AttributeSource
`addAttribute, addAttributeImpl, captureState, clearAttributes, cloneAttributes, copyTo, equals, getAttribute, getAttributeClassesIterator, getAttributeFactory, getAttributeImplsIterator, hasAttribute, hasAttributes, hashCode, reflectAsString, reflectWith, restoreState`

Methods inherited from class java.lang.Object
`clone, finalize, getClass, notify, notifyAll, toString, wait, wait, wait`

Field Detail

### TOKEN_TYPE_FULL_PREC

    public static final String TOKEN_TYPE_FULL_PREC

  The full precision token gets this token type assigned.

  See Also:
    Constant Field Values

### TOKEN_TYPE_LOWER_PREC

    public static final String TOKEN_TYPE_LOWER_PREC

  The lower precision tokens gets this token type assigned.

  See Also:
    Constant Field Values

Constructor Detail

### NumericTokenStream

    public NumericTokenStream()

  Creates a token stream for numeric values using the default `precisionStep` `NumericUtils.PRECISION_STEP_DEFAULT` (4). The stream is not yet initialized, before using set a value using the various set???Value() methods.

### NumericTokenStream

    public NumericTokenStream(int precisionStep)

  Creates a token stream for numeric values with the specified `precisionStep`. The stream is not yet initialized, before using set a value using the various set???Value() methods.

### NumericTokenStream

    public NumericTokenStream(AttributeSource.AttributeFactory factory,
                              int precisionStep)

  Expert: Creates a token stream for numeric values with the specified `precisionStep` using the given `AttributeSource.AttributeFactory`. The stream is not yet initialized, before using set a value using the various set???Value() methods.

Method Detail

### setLongValue

    public NumericTokenStream setLongValue(long value)

  Initializes the token stream with the supplied `long` value.

  Parameters:
    `value` - the value, for which this TokenStream should enumerate tokens.
  Returns:
    this instance, because of this you can use it the following way: `new Field(name, new NumericTokenStream(precisionStep).setLongValue(value))`

### setIntValue

    public NumericTokenStream setIntValue(int value)

  Initializes the token stream with the supplied `int` value.

  Parameters:
    `value` - the value, for which this TokenStream should enumerate tokens.
  Returns:
    this instance, because of this you can use it the following way: `new Field(name, new NumericTokenStream(precisionStep).setIntValue(value))`

### setDoubleValue

    public NumericTokenStream setDoubleValue(double value)

  Initializes the token stream with the supplied `double` value.

  Parameters:
    `value` - the value, for which this TokenStream should enumerate tokens.
  Returns:
    this instance, because of this you can use it the following way: `new Field(name, new NumericTokenStream(precisionStep).setDoubleValue(value))`

### setFloatValue

    public NumericTokenStream setFloatValue(float value)

  Initializes the token stream with the supplied `float` value.

  Parameters:
    `value` - the value, for which this TokenStream should enumerate tokens.
  Returns:
    this instance, because of this you can use it the following way: `new Field(name, new NumericTokenStream(precisionStep).setFloatValue(value))`

### reset

    public void reset()

  Description copied from class: `TokenStream`
  This method is called by a consumer before it begins consumption using `TokenStream.incrementToken()`.

  Resets this stream to a clean state. Stateful implementations must implement this method so that they can be reused, just as if they had been created fresh.

  Overrides:
    `reset` in class `TokenStream`

### incrementToken

    public boolean incrementToken()

  Description copied from class: `TokenStream`
  Consumers (i.e., `IndexWriter`) use this method to advance the stream to the next token. Implementing classes must implement this method and update the appropriate `AttributeImpl`s with the attributes of the next token.

  The producer must make no assumptions about the attributes after the method has been returned: the caller may arbitrarily change it. If the producer needs to preserve the state for subsequent calls, it can use `AttributeSource.captureState()` to create a copy of the current attribute state.

  This method is called for every token of a document, so an efficient implementation is crucial for good performance. To avoid calls to `AttributeSource.addAttribute(Class)` and `AttributeSource.getAttribute(Class)`, references to all `AttributeImpl`s that this stream uses should be retrieved during instantiation.

  To ensure that filters and consumers know which attributes are available, the attributes must be added during instantiation. Filters and consumers are not required to check for availability of attributes in `TokenStream.incrementToken()`.

  Specified by:
    `incrementToken` in class `TokenStream`
  Returns:
    false for end of stream; true otherwise

### getPrecisionStep

    public int getPrecisionStep()

  Returns the precision step.

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