Package org.apache.lucene.analysis

# Class AnalyzerWrapper

java.lang.Object
org.apache.lucene.analysis.Analyzer
org.apache.lucene.analysis.AnalyzerWrapper

All Implemented Interfaces:
  `Closeable`, `AutoCloseable`

Direct Known Subclasses:
  `DelegatingAnalyzerWrapper`

public abstract class AnalyzerWrapper extends Analyzer
Extension to `Analyzer` suitable for Analyzers which wrap other Analyzers.

`getWrappedAnalyzer(String)` allows the Analyzer to wrap multiple Analyzers which are selected on a per field basis.

`wrapComponents(String, Analyzer.TokenStreamComponents)` allows the TokenStreamComponents of the wrapped Analyzer to then be wrapped (such as adding a new `TokenFilter` to form new TokenStreamComponents.

`wrapReader(String, Reader)` allows the Reader of the wrapped Analyzer to then be wrapped (such as adding a new `CharFilter`.

Important: If you do not want to wrap the TokenStream using `wrapComponents(String, Analyzer.TokenStreamComponents)` or the Reader using `wrapReader(String, Reader)` and just delegate to other analyzers (like by field name), use `DelegatingAnalyzerWrapper` as superclass!

Since:
  4.0.0
See Also:
  - `DelegatingAnalyzerWrapper`

## Nested Class Summary

## Nested classes/interfaces inherited from class org.apache.lucene.analysis.Analyzer

`Analyzer.ReuseStrategy, Analyzer.TokenStreamComponents`

## Field Summary

### Fields inherited from class org.apache.lucene.analysis.Analyzer

`GLOBAL_REUSE_STRATEGY, PER_FIELD_REUSE_STRATEGY`

## Constructor Summary

Constructors
Modifier
Constructor
Description
`protected`
`AnalyzerWrapper(Analyzer.ReuseStrategy reuseStrategy)`
Creates a new AnalyzerWrapper with the given reuse strategy.

## Method Summary

Modifier and Type
Method
Description
`protected final AttributeFactory`
`attributeFactory(String fieldName)`
Return the `AttributeFactory` to be used for `analysis` and `normalization` on the given `FieldName`.
`protected final Analyzer.TokenStreamComponents`
`createComponents(String fieldName)`
Creates a new `Analyzer.TokenStreamComponents` instance for this analyzer.
`int`
`getOffsetGap(String fieldName)`
Just like `Analyzer.getPositionIncrementGap(java.lang.String)`, except for Token offsets instead.
`int`
`getPositionIncrementGap(String fieldName)`
Invoked before indexing a IndexableField instance if terms have already been added to that field.
`protected abstract Analyzer`
`getWrappedAnalyzer(String fieldName)`
Retrieves the wrapped Analyzer appropriate for analyzing the field with the given name
`final Reader`
`initReader(String fieldName, Reader reader)`
Override this if you want to add a CharFilter chain.
`protected final Reader`
`initReaderForNormalization(String fieldName, Reader reader)`
Wrap the given `Reader` with `CharFilter`s that make sense for normalization.
`protected final TokenStream`
`normalize(String fieldName, TokenStream in)`
Wrap the given `TokenStream` in order to apply normalization filters.
`protected Analyzer.TokenStreamComponents`
`wrapComponents(String fieldName, Analyzer.TokenStreamComponents components)`
Wraps / alters the given TokenStreamComponents, taken from the wrapped Analyzer, to form new components.
`protected Reader`
`wrapReader(String fieldName, Reader reader)`
Wraps / alters the given Reader.
`protected Reader`
`wrapReaderForNormalization(String fieldName, Reader reader)`
Wraps / alters the given Reader.
`protected TokenStream`
`wrapTokenStreamForNormalization(String fieldName, TokenStream in)`
Wraps / alters the given TokenStream for normalization purposes, taken from the wrapped Analyzer, to form new components.

### Methods inherited from class org.apache.lucene.analysis.Analyzer

`close, getReuseStrategy, normalize, tokenStream, tokenStream`

### Methods inherited from class java.lang.Object

`clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait`

## Constructor Details

### AnalyzerWrapper

protected AnalyzerWrapper(Analyzer.ReuseStrategy reuseStrategy)
Creates a new AnalyzerWrapper with the given reuse strategy.

If you want to wrap a single delegate Analyzer you can probably reuse its strategy when instantiating this subclass: `super(delegate.getReuseStrategy());`.

If you choose different analyzers per field, use `Analyzer.PER_FIELD_REUSE_STRATEGY`.

See Also:
  - `Analyzer.getReuseStrategy()`

## Method Details

### getWrappedAnalyzer

protected abstract Analyzer getWrappedAnalyzer(String fieldName)
Retrieves the wrapped Analyzer appropriate for analyzing the field with the given name

Parameters:
  `fieldName` - Name of the field which is to be analyzed
Returns:
  Analyzer for the field with the given name. Assumed to be non-null

### wrapComponents

protected Analyzer.TokenStreamComponents wrapComponents(String fieldName, Analyzer.TokenStreamComponents components)
Wraps / alters the given TokenStreamComponents, taken from the wrapped Analyzer, to form new components. It is through this method that new TokenFilters can be added by AnalyzerWrappers. By default, the given components are returned.

Parameters:
  `fieldName` - Name of the field which is to be analyzed
  `components` - TokenStreamComponents taken from the wrapped Analyzer
Returns:
  Wrapped / altered TokenStreamComponents.

### wrapTokenStreamForNormalization

protected TokenStream wrapTokenStreamForNormalization(String fieldName, TokenStream in)
Wraps / alters the given TokenStream for normalization purposes, taken from the wrapped Analyzer, to form new components. It is through this method that new TokenFilters can be added by AnalyzerWrappers. By default, the given token stream are returned.

Parameters:
  `fieldName` - Name of the field which is to be analyzed
  `in` - TokenStream taken from the wrapped Analyzer
Returns:
  Wrapped / altered TokenStreamComponents.

### wrapReader

protected Reader wrapReader(String fieldName, Reader reader)
Wraps / alters the given Reader. Through this method AnalyzerWrappers can implement `initReader(String, Reader)`. By default, the given reader is returned.

Parameters:
  `fieldName` - name of the field which is to be analyzed
  `reader` - the reader to wrap
Returns:
  the wrapped reader

### wrapReaderForNormalization

protected Reader wrapReaderForNormalization(String fieldName, Reader reader)
Wraps / alters the given Reader. Through this method AnalyzerWrappers can implement `initReaderForNormalization(String, Reader)`. By default, the given reader is returned.

Parameters:
  `fieldName` - name of the field which is to be analyzed
  `reader` - the reader to wrap
Returns:
  the wrapped reader

### createComponents

protected final Analyzer.TokenStreamComponents createComponents(String fieldName)
Description copied from class: `Analyzer`
Creates a new `Analyzer.TokenStreamComponents` instance for this analyzer.

Specified by:
  `createComponents` in class `Analyzer`
Parameters:
  `fieldName` - the name of the fields content passed to the `Analyzer.TokenStreamComponents` sink as a reader
Returns:
  the `Analyzer.TokenStreamComponents` for this analyzer.

### normalize

protected final TokenStream normalize(String fieldName, TokenStream in)
Description copied from class: `Analyzer`
Wrap the given `TokenStream` in order to apply normalization filters. The default implementation returns the `TokenStream` as-is. This is used by `Analyzer.normalize(String, String)`.

Overrides:
  `normalize` in class `Analyzer`

### getPositionIncrementGap

public int getPositionIncrementGap(String fieldName)
Description copied from class: `Analyzer`
Invoked before indexing a IndexableField instance if terms have already been added to that field. This allows custom analyzers to place an automatic position increment gap between IndexbleField instances using the same field name. The default value position increment gap is 0. With a 0 position increment gap and the typical default token position increment of 1, all terms in a field, including across IndexableField instances, are in successive positions, allowing exact PhraseQuery matches, for instance, across IndexableField instance boundaries.

Overrides:
  `getPositionIncrementGap` in class `Analyzer`
Parameters:
  `fieldName` - IndexableField name being indexed.
Returns:
  position increment gap, added to the next token emitted from `Analyzer.tokenStream(String,Reader)`. This value must be `>= 0`.

### getOffsetGap

public int getOffsetGap(String fieldName)
Description copied from class: `Analyzer`
Just like `Analyzer.getPositionIncrementGap(java.lang.String)`, except for Token offsets instead. By default this returns 1. This method is only called if the field produced at least one token for indexing.

Overrides:
  `getOffsetGap` in class `Analyzer`
Parameters:
  `fieldName` - the field just indexed
Returns:
  offset gap, added to the next token emitted from `Analyzer.tokenStream(String,Reader)`. This value must be `>= 0`.

### initReader

public final Reader initReader(String fieldName, Reader reader)
Description copied from class: `Analyzer`
Override this if you want to add a CharFilter chain.

The default implementation returns `reader` unchanged.

Overrides:
  `initReader` in class `Analyzer`
Parameters:
  `fieldName` - IndexableField name being indexed
  `reader` - original Reader
Returns:
  reader, optionally decorated with CharFilter(s)

### initReaderForNormalization

protected final Reader initReaderForNormalization(String fieldName, Reader reader)
Description copied from class: `Analyzer`
Wrap the given `Reader` with `CharFilter`s that make sense for normalization. This is typically a subset of the `CharFilter`s that are applied in `Analyzer.initReader(String, Reader)`. This is used by `Analyzer.normalize(String, String)`.

Overrides:
  `initReaderForNormalization` in class `Analyzer`

### attributeFactory

protected final AttributeFactory attributeFactory(String fieldName)
Description copied from class: `Analyzer`
Return the `AttributeFactory` to be used for `analysis` and `normalization` on the given `FieldName`. The default implementation returns `TokenStream.DEFAULT_TOKEN_ATTRIBUTE_FACTORY`.

Overrides:
  `attributeFactory` in class `Analyzer`