org.apache.lucene.search.highlight

## Class WeightedSpanTermExtractor

- java.lang.Object
- - org.apache.lucene.search.highlight.WeightedSpanTermExtractor

-     public class WeightedSpanTermExtractor
      extends Object

  Class used to extract `WeightedSpanTerm`s from a `Query` based on whether `Term`s from the `Query` are contained in a supplied `TokenStream`.

- - ### Nested Class Summary

    Nested Classes
    Modifier and Type | Class and Description
    --- | ---
    `protected static class` | `WeightedSpanTermExtractor.PositionCheckingMap<K>` This class makes sure that if both position sensitive and insensitive versions of the same term are added, the position insensitive one wins.

  - ### Constructor Summary

    Constructors
    Constructor and Description
    `WeightedSpanTermExtractor()`
    `WeightedSpanTermExtractor(String defaultField)`

  - ### Method Summary

    Methods
    Modifier and Type | Method and Description
    --- | ---
    `protected void` | `collectSpanQueryFields(SpanQuery spanQuery, Set<String> fieldNames)`
    `protected void` | `extract(Query query, float boost, Map<String,WeightedSpanTerm> terms)` Fills a `Map` with `WeightedSpanTerm`s using the terms from the supplied `Query`.
    `protected void` | `extractUnknownQuery(Query query, Map<String,WeightedSpanTerm> terms)`
    `protected void` | `extractWeightedSpanTerms(Map<String,WeightedSpanTerm> terms, SpanQuery spanQuery, float boost)` Fills a `Map` with `WeightedSpanTerm`s using the terms from the supplied `SpanQuery`.
    `protected void` | `extractWeightedTerms(Map<String,WeightedSpanTerm> terms, Query query, float boost)` Fills a `Map` with `WeightedSpanTerm`s using the terms from the supplied `Query`.
    `protected boolean` | `fieldNameComparator(String fieldNameToCheck)` Necessary to implement matches for queries against `defaultField`
    `boolean` | `getExpandMultiTermQuery()`
    `protected LeafReaderContext` | `getLeafContext()`
    `TokenStream` | `getTokenStream()` Returns the tokenStream which may have been wrapped in a CachingTokenFilter.
    `Map<String,WeightedSpanTerm>` | `getWeightedSpanTerms(Query query, float boost, TokenStream tokenStream)` Creates a Map of `WeightedSpanTerms` from the given `Query` and `TokenStream`.
    `Map<String,WeightedSpanTerm>` | `getWeightedSpanTerms(Query query, float boost, TokenStream tokenStream, String fieldName)` Creates a Map of `WeightedSpanTerms` from the given `Query` and `TokenStream`.
    `Map<String,WeightedSpanTerm>` | `getWeightedSpanTermsWithScores(Query query, float boost, TokenStream tokenStream, String fieldName, IndexReader reader)` Creates a Map of `WeightedSpanTerms` from the given `Query` and `TokenStream`.
    `boolean` | `isCachedTokenStream()`
    `boolean` | `isUsePayloads()`
    `protected boolean` | `mustRewriteQuery(SpanQuery spanQuery)`
    `void` | `setExpandMultiTermQuery(boolean expandMultiTermQuery)`
    `protected void` | `setMaxDocCharsToAnalyze(int maxDocCharsToAnalyze)` A threshold of number of characters to analyze.
    `void` | `setUsePayloads(boolean usePayloads)`
    `void` | `setWrapIfNotCachingTokenFilter(boolean wrap)` By default, `TokenStream`s that are not of the type `CachingTokenFilter` are wrapped in a `CachingTokenFilter` to ensure an efficient reset - if you are already using a different caching `TokenStream` impl and you don't want it to be wrapped, set this to false.

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

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

- - ### Constructor Detail

    - #### WeightedSpanTermExtractor

          public WeightedSpanTermExtractor()

    - #### WeightedSpanTermExtractor

          public WeightedSpanTermExtractor(String defaultField)

  - ### Method Detail

    - #### extract

          protected void extract(Query query,
                     float boost,
                     Map<String,WeightedSpanTerm> terms)
                          throws IOException

      Fills a `Map` with `WeightedSpanTerm`s using the terms from the supplied `Query`.
      Parameters:
        `query` - Query to extract Terms from
        `terms` - Map to place created WeightedSpanTerms in
      Throws:
        `IOException` - If there is a low-level I/O error

    - #### extractUnknownQuery

          protected void extractUnknownQuery(Query query,
                                 Map<String,WeightedSpanTerm> terms)
                                      throws IOException

      Throws:
        `IOException`

    - #### extractWeightedSpanTerms

          protected void extractWeightedSpanTerms(Map<String,WeightedSpanTerm> terms,
                                      SpanQuery spanQuery,
                                      float boost)
                                           throws IOException

      Fills a `Map` with `WeightedSpanTerm`s using the terms from the supplied `SpanQuery`.
      Parameters:
        `terms` - Map to place created WeightedSpanTerms in
        `spanQuery` - SpanQuery to extract Terms from
      Throws:
        `IOException` - If there is a low-level I/O error

    - #### extractWeightedTerms

          protected void extractWeightedTerms(Map<String,WeightedSpanTerm> terms,
                                  Query query,
                                  float boost)
                                       throws IOException

      Fills a `Map` with `WeightedSpanTerm`s using the terms from the supplied `Query`.
      Parameters:
        `terms` - Map to place created WeightedSpanTerms in
        `query` - Query to extract Terms from
      Throws:
        `IOException` - If there is a low-level I/O error

    - #### fieldNameComparator

          protected boolean fieldNameComparator(String fieldNameToCheck)

      Necessary to implement matches for queries against `defaultField`

    - #### getLeafContext

          protected LeafReaderContext getLeafContext()
                                              throws IOException

      Throws:
        `IOException`

    - #### getWeightedSpanTerms

          public Map<String,WeightedSpanTerm> getWeightedSpanTerms(Query query,
                                                          float boost,
                                                          TokenStream tokenStream)
                                                            throws IOException

      Creates a Map of `WeightedSpanTerms` from the given `Query` and `TokenStream`.

      Parameters:
        `query` - that caused hit
        `tokenStream` - of text to be highlighted
      Returns:
        Map containing WeightedSpanTerms
      Throws:
        `IOException` - If there is a low-level I/O error

    - #### getWeightedSpanTerms

          public Map<String,WeightedSpanTerm> getWeightedSpanTerms(Query query,
                                                          float boost,
                                                          TokenStream tokenStream,
                                                          String fieldName)
                                                            throws IOException

      Creates a Map of `WeightedSpanTerms` from the given `Query` and `TokenStream`.

      Parameters:
        `query` - that caused hit
        `tokenStream` - of text to be highlighted
        `fieldName` - restricts Term's used based on field name
      Returns:
        Map containing WeightedSpanTerms
      Throws:
        `IOException` - If there is a low-level I/O error

    - #### getWeightedSpanTermsWithScores

          public Map<String,WeightedSpanTerm> getWeightedSpanTermsWithScores(Query query,
                                                                    float boost,
                                                                    TokenStream tokenStream,
                                                                    String fieldName,
                                                                    IndexReader reader)
                                                                      throws IOException

      Creates a Map of `WeightedSpanTerms` from the given `Query` and `TokenStream`. Uses a supplied `IndexReader` to properly weight terms (for gradient highlighting).

      Parameters:
        `query` - that caused hit
        `tokenStream` - of text to be highlighted
        `fieldName` - restricts Term's used based on field name
        `reader` - to use for scoring
      Returns:
        Map of WeightedSpanTerms with quasi tf/idf scores
      Throws:
        `IOException` - If there is a low-level I/O error

    - #### collectSpanQueryFields

          protected void collectSpanQueryFields(SpanQuery spanQuery,
                                    Set<String> fieldNames)

    - #### mustRewriteQuery

          protected boolean mustRewriteQuery(SpanQuery spanQuery)

    - #### getExpandMultiTermQuery

          public boolean getExpandMultiTermQuery()

    - #### setExpandMultiTermQuery

          public void setExpandMultiTermQuery(boolean expandMultiTermQuery)

    - #### isUsePayloads

          public boolean isUsePayloads()

    - #### setUsePayloads

          public void setUsePayloads(boolean usePayloads)

    - #### isCachedTokenStream

          public boolean isCachedTokenStream()

    - #### getTokenStream

          public TokenStream getTokenStream()

      Returns the tokenStream which may have been wrapped in a CachingTokenFilter. getWeightedSpanTerms* sets the tokenStream, so don't call this before.

    - #### setWrapIfNotCachingTokenFilter

          public void setWrapIfNotCachingTokenFilter(boolean wrap)

      By default, `TokenStream`s that are not of the type `CachingTokenFilter` are wrapped in a `CachingTokenFilter` to ensure an efficient reset - if you are already using a different caching `TokenStream` impl and you don't want it to be wrapped, set this to false. This setting is ignored when a term vector based TokenStream is supplied, since it can be reset efficiently.

    - #### setMaxDocCharsToAnalyze

          protected final void setMaxDocCharsToAnalyze(int maxDocCharsToAnalyze)

      A threshold of number of characters to analyze. When a TokenStream based on term vectors with offsets and positions are supplied, this setting does not apply.

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