File	Doc	Category	Size	Date	Package
FuzzyQuery.java	API Doc	Apache Lucene 1.4.3	3802	Fri Oct 01 10:18:08 BST 2004	org.apache.lucene.search

FuzzyQuery

• java.lang.Object
  • org.apache.lucene.search.Query
    • org.apache.lucene.search.MultiTermQuery

Fields Summary
public static final float	defaultMinSimilarity
private float	minimumSimilarity
private int	prefixLength

Constructors Summary
public FuzzyQuery(Term term, float minimumSimilarity, int prefixLength) Create a new FuzzyQuery that will match terms with a similarity of at least minimumSimilarity to term. If a prefixLength > 0 is specified, a common prefix of that length is also required. param term the term to search for param minimumSimilarity a value between 0 and 1 to set the required similarity between the query term and the matching terms. For example, for a minimumSimilarity of 0.5 a term of the same length as the query term is considered similar to the query term if the edit distance between both terms is less than length(term)*0.5 param prefixLength length of common (non-fuzzy) prefix throws IllegalArgumentException if minimumSimilarity is > 1 or < 0 or if prefixLength < 0 or > term.text().length(). super(term); if (minimumSimilarity > 1.0f) throw new IllegalArgumentException("minimumSimilarity > 1"); else if (minimumSimilarity < 0.0f) throw new IllegalArgumentException("minimumSimilarity < 0"); this.minimumSimilarity = minimumSimilarity; if(prefixLength < 0) throw new IllegalArgumentException("prefixLength < 0"); else if(prefixLength >= term.text().length()) throw new IllegalArgumentException("prefixLength >= term.text().length()"); this.prefixLength = prefixLength;
public FuzzyQuery(Term term, float minimumSimilarity) Calls {@link #FuzzyQuery(Term, float) FuzzyQuery(term, minimumSimilarity, 0)}. this(term, minimumSimilarity, 0);
public FuzzyQuery(Term term) Calls {@link #FuzzyQuery(Term, float) FuzzyQuery(term, 0.5f, 0)}. this(term, defaultMinSimilarity, 0);

Methods Summary
protected org.apache.lucene.search.FilteredTermEnum	getEnum(org.apache.lucene.index.IndexReader reader) return new FuzzyTermEnum(reader, getTerm(), minimumSimilarity, prefixLength);
public float	getMinSimilarity() Returns the minimum similarity that is required for this query to match. return float value between 0.0 and 1.0 return minimumSimilarity;
public int	getPrefixLength() Returns the prefix length, i.e. the number of characters at the start of a term that must be identical (not fuzzy) to the query term if the query is to match that term. return prefixLength;
public java.lang.String	toString(java.lang.String field) return super.toString(field) + '~" + Float.toString(minimumSimilarity);