org.apache.lucene.search

## Class DisjunctionMaxQuery.DisjunctionMaxWeight

- java.lang.Object
- - org.apache.lucene.search.Weight
  - - org.apache.lucene.search.DisjunctionMaxQuery.DisjunctionMaxWeight

- Enclosing class:
    DisjunctionMaxQuery

      protected class DisjunctionMaxQuery.DisjunctionMaxWeight
      extends Weight

  Expert: the Weight for DisjunctionMaxQuery, used to normalize, score and explain these queries.

  NOTE: this API and implementation is subject to change suddenly in the next release.

- - ### Nested Class Summary

    - ### Nested classes/interfaces inherited from class org.apache.lucene.search.Weight

      `Weight.DefaultBulkScorer`

  - ### Field Summary

    Fields
    Modifier and Type | Field and Description
    --- | ---
    `protected ArrayList<Weight>` | `weights` The Weights for our subqueries, in 1-1 correspondence with disjuncts

    - ### Fields inherited from class org.apache.lucene.search.Weight

      `parentQuery`

  - ### Constructor Summary

    Constructors
    Constructor and Description
    `DisjunctionMaxWeight(IndexSearcher searcher, boolean needsScores)` Construct the Weight for this Query searched by searcher.

  - ### Method Summary

    All Methods Instance Methods Concrete Methods
    Modifier and Type | Method and Description
    --- | ---
    `Explanation` | `explain(LeafReaderContext context, int doc)` Explain the score we computed for doc
    `void` | `extractTerms(Set<Term> terms)` Expert: adds all terms occurring in this query to the terms set.
    `float` | `getValueForNormalization()` Compute the sub of squared weights of us applied to our subqueries.
    `void` | `normalize(float norm, float boost)` Apply the computed normalization factor to our subqueries
    `Scorer` | `scorer(LeafReaderContext context)` Create the scorer used to score our associated DisjunctionMaxQuery

    - ### Methods inherited from class org.apache.lucene.search.Weight

      `bulkScorer, getQuery, scorerSupplier`

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

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

- - ### Field Detail

    - #### weights

          protected final ArrayList<Weight> weights

      The Weights for our subqueries, in 1-1 correspondence with disjuncts

  - ### Constructor Detail

    - #### DisjunctionMaxWeight

          public DisjunctionMaxWeight(IndexSearcher searcher,
                                      boolean needsScores)
                               throws IOException

      Construct the Weight for this Query searched by searcher. Recursively construct subquery weights.
      Throws:
        `IOException`

  - ### Method Detail

    - #### extractTerms

          public void extractTerms(Set<Term> terms)

      Description copied from class: `Weight`
      Expert: adds all terms occurring in this query to the terms set. If the `Weight` was created with `needsScores == true` then this method will only extract terms which are used for scoring, otherwise it will extract all terms which are used for matching.
      Specified by:
        `extractTerms` in class `Weight`

    - #### getValueForNormalization

          public float getValueForNormalization()
                                         throws IOException

      Compute the sub of squared weights of us applied to our subqueries. Used for normalization.
      Specified by:
        `getValueForNormalization` in class `Weight`
      Throws:
        `IOException`

    - #### normalize

          public void normalize(float norm,
                                float boost)

      Apply the computed normalization factor to our subqueries
      Specified by:
        `normalize` in class `Weight`

    - #### scorer

          public Scorer scorer(LeafReaderContext context)
                        throws IOException

      Create the scorer used to score our associated DisjunctionMaxQuery
      Specified by:
        `scorer` in class `Weight`
      Parameters:
        `context` - the `LeafReaderContext` for which to return the `Scorer`.
      Returns:
        a `Scorer` which scores documents in/out-of order.
      Throws:
        `IOException` - if there is a low-level I/O error

    - #### explain

          public Explanation explain(LeafReaderContext context,
                                     int doc)
                              throws IOException

      Explain the score we computed for doc
      Specified by:
        `explain` in class `Weight`
      Parameters:
        `context` - the readers context to create the `Explanation` for.
        `doc` - the document's id relative to the given context's reader
      Returns:
        an Explanation for the score
      Throws:
        `IOException` - if an `IOException` occurs

Copyright © 2000-2018 Apache Software Foundation. All Rights Reserved.