|
|||||||||||
| PREV CLASS NEXT CLASS | FRAMES NO FRAMES | ||||||||||
| SUMMARY: NESTED | FIELD | CONSTR | METHOD | DETAIL: FIELD | CONSTR | METHOD | ||||||||||
java.lang.Objectorg.apache.lucene.search.Query
org.apache.lucene.search.MultiTermQuery
org.apache.lucene.search.FuzzyQuery
Implements the fuzzy search query. The similiarity measurement is based on the Levenshtein (edit distance) algorithm.
| Field Summary | |
static float |
defaultMinSimilarity
|
| Constructor Summary | |
FuzzyQuery(Term term)
Calls FuzzyQuery(term, 0.5f, 0). |
|
FuzzyQuery(Term term,
float minimumSimilarity)
Calls FuzzyQuery(term, minimumSimilarity, 0). |
|
FuzzyQuery(Term term,
float minimumSimilarity,
int prefixLength)
Create a new FuzzyQuery that will match terms with a similarity of at least minimumSimilarity to term.
|
|
| Method Summary | |
protected FilteredTermEnum |
getEnum(IndexReader reader)
Construct the enumeration to be used, expanding the pattern term. |
float |
getMinSimilarity()
Returns the minimum similarity that is required for this query to match. |
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. |
String |
toString(String field)
Prints a user-readable version of this query. |
| Methods inherited from class org.apache.lucene.search.MultiTermQuery |
combine, getTerm, rewrite |
| Methods inherited from class org.apache.lucene.search.Query |
clone, createWeight, getBoost, getSimilarity, mergeBooleanQueries, setBoost, toString, weight |
| Methods inherited from class java.lang.Object |
equals, finalize, getClass, hashCode, notify, notifyAll, wait, wait, wait |
| Field Detail |
public static final float defaultMinSimilarity
| Constructor Detail |
public FuzzyQuery(Term term,
float minimumSimilarity,
int prefixLength)
throws IllegalArgumentException
minimumSimilarity to term.
If a prefixLength > 0 is specified, a common prefix
of that length is also required.
term - the term to search forminimumSimilarity - 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)*0.5prefixLength - length of common (non-fuzzy) prefix
IllegalArgumentException - if minimumSimilarity is > 1 or < 0
or if prefixLength < 0 or > term.text().length().
public FuzzyQuery(Term term,
float minimumSimilarity)
throws IllegalArgumentException
FuzzyQuery(term, minimumSimilarity, 0).
public FuzzyQuery(Term term)
FuzzyQuery(term, 0.5f, 0).
| Method Detail |
public float getMinSimilarity()
public int getPrefixLength()
protected FilteredTermEnum getEnum(IndexReader reader)
throws IOException
MultiTermQuery
getEnum in class MultiTermQueryIOExceptionpublic String toString(String field)
MultiTermQuery
toString in class MultiTermQuery
|
|||||||||||
| PREV CLASS NEXT CLASS | FRAMES NO FRAMES | ||||||||||
| SUMMARY: NESTED | FIELD | CONSTR | METHOD | DETAIL: FIELD | CONSTR | METHOD | ||||||||||