Package org.apache.lucene.analysis

Class Analyzer

java.lang.Object
org.apache.lucene.analysis.Analyzer
All Implemented Interfaces:
Closeable, AutoCloseable
Direct Known Subclasses:
AnalyzerWrapper
public abstract class Analyzer extends Object implements Closeable
An Analyzer builds TokenStreams, which analyze text. It thus represents a policy for extracting index terms from text.

In order to define what analysis is done, subclasses must define their TokenStreamComponents in createComponents(String, Reader). The components are then reused in each call to tokenStream(String, Reader).

Simple example: 

 Analyzer analyzer = new Analyzer() {
  @Override
   protected TokenStreamComponents createComponents(String fieldName, Reader reader) {
     Tokenizer source = new FooTokenizer(reader);
     TokenStream filter = new FooFilter(source);
     filter = new BarFilter(filter);
     return new TokenStreamComponents(source, filter);
   }
 };
For more examples, see the Analysis package documentation.

For some concrete implementations bundled with Lucene, look in the analysis modules:

  • Common: Analyzers for indexing content in different languages and domains.
  • ICU: Exposes functionality from ICU to Apache Lucene.
  • Kuromoji: Morphological analyzer for Japanese text.
  • Morfologik: Dictionary-driven lemmatization for the Polish language.
  • Phonetic: Analysis for indexing phonetic signatures (for sounds-alike search).
  • Smart Chinese: Analyzer for Simplified Chinese, which indexes words.
  • Stempel: Algorithmic Stemmer for the Polish Language.
  • UIMA: Analysis integration with Apache UIMA.

  • Field Details

  • Constructor Details

  • Method Details

    • createComponents

      protected abstract Analyzer.TokenStreamComponents createComponents(String fieldName, Reader reader)
      Creates a new Analyzer.TokenStreamComponents instance for this analyzer.
      Parameters:
      fieldName - the name of the fields content passed to the Analyzer.TokenStreamComponents sink as a reader
      reader - the reader passed to the Tokenizer constructor
      Returns:
      the Analyzer.TokenStreamComponents for this analyzer.

    • tokenStream

      public final TokenStream tokenStream(String fieldName, Reader reader) throws IOException
      Returns a TokenStream suitable for fieldName, tokenizing the contents of reader.

      This method uses createComponents(String, Reader) to obtain an instance of Analyzer.TokenStreamComponents. It returns the sink of the components and stores the components internally. Subsequent calls to this method will reuse the previously stored components after resetting them through Analyzer.TokenStreamComponents.setReader(Reader).

      NOTE: After calling this method, the consumer must follow the workflow described in TokenStream to properly consume its contents. See the Analysis package documentation for some examples demonstrating this. NOTE: If your data is available as a String, use tokenStream(String, String) which reuses a StringReader-like instance internally.

      Parameters:
      fieldName - the name of the field the created TokenStream is used for
      reader - the reader the streams source reads from
      Returns:
      TokenStream for iterating the analyzed content of reader
      Throws:
      AlreadyClosedException - if the Analyzer is closed.
      IOException - if an i/o error occurs.
      See Also:

    • tokenStream

      public final TokenStream tokenStream(String fieldName, String text) throws IOException
      Returns a TokenStream suitable for fieldName, tokenizing the contents of text.

      This method uses createComponents(String, Reader) to obtain an instance of Analyzer.TokenStreamComponents. It returns the sink of the components and stores the components internally. Subsequent calls to this method will reuse the previously stored components after resetting them through Analyzer.TokenStreamComponents.setReader(Reader).

      NOTE: After calling this method, the consumer must follow the workflow described in TokenStream to properly consume its contents. See the Analysis package documentation for some examples demonstrating this.

      Parameters:
      fieldName - the name of the field the created TokenStream is used for
      text - the String the streams source reads from
      Returns:
      TokenStream for iterating the analyzed content of reader
      Throws:
      AlreadyClosedException - if the Analyzer is closed.
      IOException - if an i/o error occurs (may rarely happen for strings).
      See Also:

    • initReader

      protected Reader initReader(String fieldName, Reader reader)
      Override this if you want to add a CharFilter chain.

      The default implementation returns reader unchanged.

      Parameters:
      fieldName - IndexableField name being indexed
      reader - original Reader
      Returns:
      reader, optionally decorated with CharFilter(s)

    • getPositionIncrementGap

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

    • getOffsetGap

      public int getOffsetGap(String fieldName)
      Just like 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.
      Parameters:
      fieldName - the field just indexed
      Returns:
      offset gap, added to the next token emitted from tokenStream(String,Reader). This value must be >= 0.

    • getReuseStrategy

      public final Analyzer.ReuseStrategy getReuseStrategy()
      Returns the used Analyzer.ReuseStrategy.

    • close

      public void close()
      Frees persistent resources used by this Analyzer
      Specified by:
      close in interface AutoCloseable
      Specified by:
      close in interface Closeable