public virtual void TestNoSuchMultiTermsInOr()
{
//test to make sure non existent multiterms aren't throwing null pointer exceptions
FuzzyQuery fuzzyNoSuch = new FuzzyQuery(new Term("field", "noSuch"), 1, 0, 1, false);
SpanQuery spanNoSuch = new SpanMultiTermQueryWrapper<MultiTermQuery>(fuzzyNoSuch);
SpanQuery term = new SpanTermQuery(new Term("field", "brown"));
SpanOrQuery near = new SpanOrQuery(new SpanQuery[] { term, spanNoSuch });
Assert.AreEqual(1, searcher.Search(near, 10).TotalHits);
//flip
near = new SpanOrQuery(new SpanQuery[] { spanNoSuch, term });
Assert.AreEqual(1, searcher.Search(near, 10).TotalHits);
WildcardQuery wcNoSuch = new WildcardQuery(new Term("field", "noSuch*"));
SpanQuery spanWCNoSuch = new SpanMultiTermQueryWrapper<MultiTermQuery>(wcNoSuch);
near = new SpanOrQuery(new SpanQuery[] { term, spanWCNoSuch });
Assert.AreEqual(1, searcher.Search(near, 10).TotalHits);
RegexpQuery rgxNoSuch = new RegexpQuery(new Term("field", "noSuch"));
SpanQuery spanRgxNoSuch = new SpanMultiTermQueryWrapper<MultiTermQuery>(rgxNoSuch);
near = new SpanOrQuery(new SpanQuery[] { term, spanRgxNoSuch });
Assert.AreEqual(1, searcher.Search(near, 10).TotalHits);
PrefixQuery prfxNoSuch = new PrefixQuery(new Term("field", "noSuch"));
SpanQuery spanPrfxNoSuch = new SpanMultiTermQueryWrapper<MultiTermQuery>(prfxNoSuch);
near = new SpanOrQuery(new SpanQuery[] { term, spanPrfxNoSuch });
Assert.AreEqual(1, searcher.Search(near, 10).TotalHits);
near = new SpanOrQuery(new SpanQuery[] { spanPrfxNoSuch });
Assert.AreEqual(0, searcher.Search(near, 10).TotalHits);
near = new SpanOrQuery(new SpanQuery[] { spanPrfxNoSuch, spanPrfxNoSuch });
Assert.AreEqual(0, searcher.Search(near, 10).TotalHits);
}
public Result Search(string term, int count, int start)
{
try {
term = term.ToLower();
Term htTerm = new Term("hottext", term);
Query qq1 = new FuzzyQuery(htTerm);
Query qq2 = new TermQuery(htTerm);
qq2.Boost = 10f;
Query qq3 = new PrefixQuery(htTerm);
qq3.Boost = 10f;
DisjunctionMaxQuery q1 = new DisjunctionMaxQuery(0f);
q1.Add(qq1);
q1.Add(qq2);
q1.Add(qq3);
Query q2 = new TermQuery(new Term("text", term));
q2.Boost = 3f;
Query q3 = new TermQuery(new Term("examples", term));
q3.Boost = 3f;
DisjunctionMaxQuery q = new DisjunctionMaxQuery(0f);
q.Add(q1);
q.Add(q2);
q.Add(q3);
TopDocs top = SearchInternal(q, count, start);
Result r = new Result(term, searcher, top.ScoreDocs);
return(r);
} catch (IOException) {
Console.WriteLine("No index in {0}", dir);
return(null);
}
}
/// <summary>
/// Gets the highlighted wildcard text.
/// </summary>
/// <param name="indexField">The index field value.</param>
/// <param name="searchQuery">The search query.</param>
/// <param name="highlightField">The highlight field name.</param>
/// <param name="examineIndexSetName">Name of the examine index set.</param>
/// <param name="maxNumFragments">Maximum number of fragments to retrieve.</param>
/// <param name="preTag">Highlight pre tag.</param>
/// <param name="postTag">Highlight post tag.</param>
/// <returns></returns>
public static string GetHighlightWithWildcards(string indexField, string searchQuery, string highlightField, string examineIndexSetName, int maxNumFragments, string preTag, string postTag)
{
if (indexField == null)
{
throw new ArgumentNullException(nameof(indexField));
}
if (searchQuery == null)
{
throw new ArgumentNullException(nameof(searchQuery));
}
if (highlightField == null)
{
throw new ArgumentNullException(nameof(highlightField));
}
if (examineIndexSetName == null)
{
throw new ArgumentNullException(nameof(examineIndexSetName));
}
BooleanQuery finalQuery = new BooleanQuery();
foreach (string term in searchQuery.Split(new[] { ' ' }, StringSplitOptions.RemoveEmptyEntries))
{
FuzzyQuery fuzzyQuery = new FuzzyQuery(new Lucene.Net.Index.Term(highlightField, term), 0.5f, 0);
finalQuery.Add(new BooleanClause(fuzzyQuery, BooleanClause.Occur.SHOULD));
}
string indexFieldStrippedHtmlValue = indexField.StripHtml();
SimpleHTMLFormatter formatter = new SimpleHTMLFormatter(preTag, postTag);
QueryScorer fragmentScorer = new QueryScorer(finalQuery.Rewrite(GetIndexSearcher(examineIndexSetName).GetIndexReader()));
Highlighter highlighter = new Highlighter(formatter, fragmentScorer);
TokenStream tokenStream = new StandardAnalyzer(Version.LUCENE_29).TokenStream(highlightField, new StringReader(indexFieldStrippedHtmlValue));
return(highlighter.GetBestFragments(tokenStream, indexFieldStrippedHtmlValue, maxNumFragments, "..."));
}
private IList <string> SearchFuzzy(string text)
{
var term = new Term(CONTENT_FIELD, text);
var query = new FuzzyQuery(term);
return(RunQuery(query));
}
public void SearchDoc_Fuzzy(ElasticClient client)
{
var fuzzyQuery = new FuzzyQuery
{
Name = "named_query",
Boost = 1.1,
Field = Infer.Field <Product>(p => p.Name),
Value = "test"
};
var searchRequest = new SearchRequest <Product>(Indices.Parse("esdemo"), Types.Parse("product"))
{
From = 0,
Size = 10,
Query = fuzzyQuery
};
var searchResponse = client.Search <Product>(searchRequest);
var list = searchResponse.Documents.ToList();
var count = searchResponse.Total;
System.Console.WriteLine("FuzzyQuery");
System.Console.WriteLine(list.ToJsonString());
System.Console.WriteLine(count);
}
public Product[] Search(int catalogId, string text)
{
var result = new List <Product>();
using (var analyzer = new SimpleAnalyzer(LuceneVersion.LUCENE_48))
using (var indexDirectory = FSDirectory.Open(GetIndexDirectory()))
using (var indexReader = DirectoryReader.Open(indexDirectory))
{
var query = new FuzzyQuery(new Term("Name", text), 2);
var indexSearcher = new IndexSearcher(indexReader);
var searchResults = indexSearcher.Search(query, 10).ScoreDocs;
foreach (var searchResultItem in searchResults)
{
var doc = indexSearcher.Doc(searchResultItem.Doc);
var product = new Product()
{
Id = (int)doc.GetField("Id")?.GetInt32Value(),
Name = doc.GetField("Name")?.GetStringValue()
};
result.Add(product);
}
return(result.ToArray());
}
}
public virtual void TestNoSuchMultiTermsInSpanFirst()
{
//this hasn't been a problem
FuzzyQuery fuzzyNoSuch = new FuzzyQuery(new Term("field", "noSuch"), 1, 0, 1, false);
SpanQuery spanNoSuch = new SpanMultiTermQueryWrapper <MultiTermQuery>(fuzzyNoSuch);
SpanQuery spanFirst = new SpanFirstQuery(spanNoSuch, 10);
Assert.AreEqual(0, Searcher.Search(spanFirst, 10).TotalHits);
WildcardQuery wcNoSuch = new WildcardQuery(new Term("field", "noSuch*"));
SpanQuery spanWCNoSuch = new SpanMultiTermQueryWrapper <MultiTermQuery>(wcNoSuch);
spanFirst = new SpanFirstQuery(spanWCNoSuch, 10);
Assert.AreEqual(0, Searcher.Search(spanFirst, 10).TotalHits);
RegexpQuery rgxNoSuch = new RegexpQuery(new Term("field", "noSuch"));
SpanQuery spanRgxNoSuch = new SpanMultiTermQueryWrapper <MultiTermQuery>(rgxNoSuch);
spanFirst = new SpanFirstQuery(spanRgxNoSuch, 10);
Assert.AreEqual(0, Searcher.Search(spanFirst, 10).TotalHits);
PrefixQuery prfxNoSuch = new PrefixQuery(new Term("field", "noSuch"));
SpanQuery spanPrfxNoSuch = new SpanMultiTermQueryWrapper <MultiTermQuery>(prfxNoSuch);
spanFirst = new SpanFirstQuery(spanPrfxNoSuch, 10);
Assert.AreEqual(0, Searcher.Search(spanFirst, 10).TotalHits);
}
public string DidYouMean(string pattern)
{
try
{
IndexSearcher searcher = new IndexSearcher(m_HistoryPath);
Term t = new Term(Constants.SearchedText, pattern);
FuzzyQuery query = new FuzzyQuery(t);
Hits hits = searcher.Search(query);
if (hits.Length() != 0)
{
return(hits.Doc(0).Get(Constants.SearchedText));
}
else
{
return("");
}
}
catch (Exception)
{
return("");
}
}
public IEnumerable <string> FindMatches(string searchTerm, int maxDifference)
{
if (String.IsNullOrEmpty(searchTerm))
{
yield break;
}
var dir = FSDirectory.Open(IndexLocation);
var searcher = new IndexSearcher(DirectoryReader.Open(dir));
var directPhrase = new MultiPhraseQuery();
foreach (var item in searchTerm.Split(' '))
{
directPhrase.Add(new Term("data", item));
}
var directHits = searcher.Search(directPhrase, 20 /* top 20 */).ScoreDocs;
foreach (var hit in directHits)
{
yield return(ConvertHits(searcher, hit));
}
// don't do expensive fuzzyQuery if results are enough
if (directHits.Length > 10)
{
yield break;
}
var phrase = new FuzzyQuery(new Term("data", searchTerm), 2);
var hits = searcher.Search(phrase, 20 /* top 20 */).ScoreDocs;
foreach (var hit in hits)
{
yield return(ConvertHits(searcher, hit));
}
}
protected Query ToWildCardQuery(string query, IEnumerable <LuceneFieldInfo> fields)
{
var terms = query.ToLowerInvariant().Split(new[] { " ,." }, StringSplitOptions.RemoveEmptyEntries);
var wildCardQuery = new BooleanQuery();
var enumeratedFields = fields.ToList();
foreach (var term in terms)
{
var booleanQuery = new BooleanQuery();
foreach (var field in enumeratedFields)
{
var subQuery = new FuzzyQuery(
new Term(field.LuceneFieldAttribute.Name, term),
field.LuceneFieldAttribute.Fuzziness)
{
Boost = field.LuceneFieldAttribute.Boost
};
booleanQuery.Add(subQuery, Occur.SHOULD);
}
wildCardQuery.Add(booleanQuery, Occur.MUST);
}
return(wildCardQuery);
}
public virtual void TestFuzzy()
{
FuzzyQuery fq = new FuzzyQuery(new Term("field", "broan"));
SpanQuery sfq = new SpanMultiTermQueryWrapper<MultiTermQuery>(fq);
// will not match quick brown fox
SpanPositionRangeQuery sprq = new SpanPositionRangeQuery(sfq, 3, 6);
Assert.AreEqual(2, searcher.Search(sprq, 10).TotalHits);
}
public virtual void TestFuzzy()
{
FuzzyQuery fq = new FuzzyQuery(new Term("field", "broan"));
SpanQuery sfq = new SpanMultiTermQueryWrapper<MultiTermQuery>(fq);
// will not match quick brown fox
SpanPositionRangeQuery sprq = new SpanPositionRangeQuery(sfq, 3, 6);
Assert.AreEqual(2, Searcher.Search(sprq, 10).TotalHits);
}
public FilteredQuery CreateFilteredQuery(ILuceneQueryService builder, LuceneQueryContext context, string type, JToken filter, Query toFilter)
{
if (type != "fuzzy")
{
return(null);
}
if (!(toFilter is BooleanQuery booleanQuery))
{
return(null);
}
var queryObj = filter as JObject;
var first = queryObj.Properties().First();
FuzzyQuery fuzzyQuery;
switch (first.Value.Type)
{
case JTokenType.String:
fuzzyQuery = new FuzzyQuery(new Term(first.Name, first.Value.ToString()));
break;
case JTokenType.Object:
var obj = (JObject)first.Value;
if (!obj.TryGetValue("value", out var value))
{
throw new ArgumentException("Missing value in fuzzy query");
}
obj.TryGetValue("fuzziness", out var fuzziness);
obj.TryGetValue("prefix_length", out var prefixLength);
obj.TryGetValue("max_expansions", out var maxExpansions);
fuzzyQuery = new FuzzyQuery(
new Term(first.Name, value.Value <string>()),
fuzziness?.Value <int>() ?? LevenshteinAutomata.MAXIMUM_SUPPORTED_DISTANCE,
prefixLength?.Value <int>() ?? 0,
maxExpansions?.Value <int>() ?? 50,
true);
if (obj.TryGetValue("boost", out var boost))
{
fuzzyQuery.Boost = boost.Value <float>();
}
break;
default: throw new ArgumentException("Invalid fuzzy query");
}
booleanQuery.Add(fuzzyQuery, Occur.MUST);
var queryFilter = new QueryWrapperFilter(fuzzyQuery);
return(new FilteredQuery(booleanQuery, queryFilter));
}
public static void FuzzyQueryTest(Analyzer analyzer, string field, string keyword)
{
Console.WriteLine("====FuzzyQuery====");
FuzzyQuery query = new FuzzyQuery(new Term(field, keyword));
ShowQueryExpression(analyzer, query, keyword);
SearchToShow(query);
Console.WriteLine();
}
public virtual void TestFuzzy2()
{
// maximum of 1 term expansion
FuzzyQuery fq = new FuzzyQuery(new Term("field", "broan"), 1, 0, 1, false);
SpanQuery sfq = new SpanMultiTermQueryWrapper<MultiTermQuery>(fq);
// will only match jumps over lazy broun dog
SpanPositionRangeQuery sprq = new SpanPositionRangeQuery(sfq, 0, 100);
Assert.AreEqual(1, searcher.Search(sprq, 10).TotalHits);
}
public override Query VisitFuzzyQuery(FuzzyQuery fuzzyq)
{
_text.Append(TermToString(fuzzyq.GetTerm()));
_text.Append('~');
_text.Append(Lucene.Net.Support.Single.ToString(fuzzyq.GetMinSimilarity()));
_text.Append(BoostToString(fuzzyq.GetBoost()));
return(base.VisitFuzzyQuery(fuzzyq));
}
public IEnumerable <LuceneHit> ContactSearch(string searchterm, string subdomain_name)
{
var ids = new HashSet <LuceneHit>();
using (var searcher = new IndexSearcher(LuceneUtil.GetDirectoryInfo(LuceneIndexType.CONTACTS, subdomain_name), true))
{
var term1 = new Term("email", searchterm);
var term2 = new Term("name", searchterm);
var term3 = new Term("orgname", searchterm);
var term4 = new Term("fullname", searchterm);
var query = new FuzzyQuery(term1, 0.7f);
var hits1 = searcher.Search(query);
query = new FuzzyQuery(term2, 0.7f);
var hits2 = searcher.Search(query);
query = new FuzzyQuery(term3, 0.7f);
var hits3 = searcher.Search(query);
query = new FuzzyQuery(term4, 0.7f);
var hits4 = searcher.Search(query);
for (int i = 0; i < hits1.Length(); i++)
{
Document doc = hits1.Doc(i);
ids.Add(new LuceneHit()
{
id = doc.Get("id"), score = hits1.Score(i)
});
}
for (int i = 0; i < hits2.Length(); i++)
{
Document doc = hits2.Doc(i);
ids.Add(new LuceneHit()
{
id = doc.Get("id"), score = hits2.Score(i)
});
}
for (int i = 0; i < hits3.Length(); i++)
{
Document doc = hits3.Doc(i);
ids.Add(new LuceneHit()
{
id = doc.Get("id"), score = hits3.Score(i)
});
}
for (int i = 0; i < hits4.Length(); i++)
{
Document doc = hits4.Doc(i);
ids.Add(new LuceneHit()
{
id = doc.Get("id"), score = hits4.Score(i)
});
}
}
return(ids);
}
private static void FuzzySearch(IndexWriter writer)
{
var phrase = new FuzzyQuery(new Term("line_text_full", "Mary"));
var searcher = new IndexSearcher(writer.GetReader(true));
var result = searcher.Search(phrase, 200);
var _ = result.ScoreDocs;
}
public virtual Query VisitFuzzyQuery(FuzzyQuery fuzzyq)
{
#pragma warning disable CS0618 // Type or member is obsolete
var term = fuzzyq.GetTerm();
#pragma warning restore CS0618 // Type or member is obsolete
var visited = VisitTerm(term);
if (term == visited)
return fuzzyq;
return new FuzzyQuery(visited);
}
/// <summary>
/// Builds a new <see cref="FuzzyQuery"/> instance
/// </summary>
/// <param name="term">Term</param>
/// <param name="minimumSimilarity">minimum similarity</param>
/// <param name="prefixLength">prefix length</param>
/// <returns>new <see cref="FuzzyQuery"/> Instance</returns>
protected internal virtual Query NewFuzzyQuery(Term term, float minimumSimilarity, int prefixLength)
{
// FuzzyQuery doesn't yet allow constant score rewrite
string text = term.Text();
#pragma warning disable 612, 618
int numEdits = FuzzyQuery.SingleToEdits(minimumSimilarity,
text.CodePointCount(0, text.Length));
#pragma warning restore 612, 618
return(new FuzzyQuery(term, numEdits, prefixLength));
}
public virtual Query VisitFuzzyQuery(FuzzyQuery fuzzyq)
{
var term = fuzzyq.GetTerm();
var visited = VisitTerm(term);
if (term == visited)
{
return(fuzzyq);
}
return(new FuzzyQuery(visited));
}
public override Query VisitFuzzyQuery(FuzzyQuery fuzzyq)
{
#pragma warning disable CS0618 // Type or member is obsolete
_text.Append(TermToString(fuzzyq.GetTerm()));
#pragma warning restore CS0618 // Type or member is obsolete
_text.Append('~');
_text.Append(Lucene.Net.Support.Single.ToString(fuzzyq.GetMinSimilarity()));
_text.Append(BoostToString(fuzzyq.GetBoost()));
return(base.VisitFuzzyQuery(fuzzyq));
}
private ParameterizedSql BuildFuzzy(FuzzyQuery fuzzyQuery)
{
Term term = CopyTerm(fuzzyQuery.Term);
if (term != null)
{
return(BuildQuery(new FuzzyQuery(term, fuzzyQuery.MinSimilarity, fuzzyQuery.PrefixLength)));
}
return(null);
}
public static QueryContainer MakeFuzzyQuery(string query, string field, int fuzziness = -1)
{
QueryContainer fuzzyQuery = new FuzzyQuery
{
Field = field,
Value = query,
Fuzziness = fuzziness == -1 ? Fuzziness.Auto : Fuzziness.EditDistance(fuzziness)
};
return(fuzzyQuery);
}
public void Fetch_WhenCalledForLargeDocument_ShouldReturnSomeHits()
{
var phrase = new FuzzyQuery(new Term("text", "Mary"));
var searcher = _fixture.CreateSearcher();
var result = searcher.Search(phrase, 200);
var hits = result.ScoreDocs;
Assert.NotEmpty(hits);
}
/// <summary>
/// Adds a fuzzy clause to this instance
/// </summary>
/// <remarks>Fuzzy clauses find results within a particular relevance distance of each hit</remarks>
/// <param name="term">Term to add to this query</param>
/// <param name="occurrence">Defines how the term is added to this query</param>
/// <param name="minimumSimilarity">Defines the amount of similarity that is allowed between matches</param>
public void AddFuzzyClause(SearchTerm term, ClauseOccurrence occurrence, float minimumSimilarity)
{
if (term == null)
{
throw new ArgumentNullException("term", "term cannot be null");
}
IncrementTotalClauses(1);
FuzzyQuery fuzzyQuery = new FuzzyQuery(term.GetLuceneTerm(), minimumSimilarity);
fuzzyQuery.SetBoost(term.Boost);
this.luceneQuery.Add(fuzzyQuery, TypeConverter.ConvertToLuceneClauseOccurrence(occurrence));
fuzzyQuery = null;
}
public FuzzyQueryInstance CreateFuzzyQuery(string fieldName, string text)
{
var query = new FuzzyQuery
{
Term = new Term
{
FieldName = fieldName,
Value = text
}
};
return(new FuzzyQueryInstance(Engine.Object.InstancePrototype, query));
}
public virtual Query Build(IQueryNode queryNode)
{
FuzzyQueryNode fuzzyNode = (FuzzyQueryNode)queryNode;
string text = fuzzyNode.GetTextAsString();
#pragma warning disable 612, 618
int numEdits = FuzzyQuery.SingleToEdits(fuzzyNode.Similarity,
text.CodePointCount(0, text.Length));
#pragma warning restore 612, 618
return(new FuzzyQuery(new Term(fuzzyNode.GetFieldAsString(), fuzzyNode
.GetTextAsString()), numEdits, fuzzyNode
.PrefixLength));
}
static void DifferentQuerysInEs(QueryContainer qc)
{
//匹配查询
qc &= new MatchQuery()
{
Field = "analyized field name",
Query = "关键词",
Operator = Operator.Or,
MinimumShouldMatch = "100%",
Analyzer = "ik_smart"
};
//https://www.elastic.co/guide/en/elasticsearch/reference/current/query-dsl-query-string-query.html#query-string-syntax
//https://www.elastic.co/guide/en/elasticsearch/reference/current/query-dsl-simple-query-string-query.html
//query string自定义了一个查询语法
var qsq = new QueryStringQuery()
{
};
//https://www.elastic.co/guide/cn/elasticsearch/guide/current/_wildcard_and_regexp_queries.html
//使用通配符查询，比如name.*
var wcq = new WildcardQuery()
{
};
//精准匹配，不分词
var tq = new TermQuery()
{
};
//字段存在且不为空
var eq = new ExistsQuery()
{
};
//https://www.elastic.co/guide/cn/elasticsearch/guide/current/fuzzy-query.html
//模糊查询，它会计算关键词和目标字段的“距离”。如果在允许的距离范围内，计算拼写错误也可以匹配到
var fq = new FuzzyQuery()
{
};
//范围查询
var drq = new DateRangeQuery()
{
};
var nrq = new NumericRangeQuery()
{
};
}
/// <summary>
/// Factory method to generate a fuzzy query.
/// </summary>
protected virtual Query NewFuzzyQuery(string text, int fuzziness)
{
BooleanQuery bq = new BooleanQuery(true);
foreach (var entry in m_weights)
{
Query q = new FuzzyQuery(new Term(entry.Key, text), fuzziness);
if (q != null)
{
q.Boost = entry.Value;
bq.Add(q, Occur.SHOULD);
}
}
return(Simplify(bq));
}
public override Query VisitFuzzyQuery(FuzzyQuery fuzzyq)
{
_dump.Append("FuzzyQ(");
var q = base.VisitFuzzyQuery(fuzzyq);
var fq = q as FuzzyQuery;
if (fq != null)
{
_dump.Append(", minSimilarity:");
_dump.Append(fq.GetMinSimilarity());
}
_dump.Append(BoostToString(q));
_dump.Append(")");
return(q);
}
public virtual void TestFuzzy2()
{
// maximum of 1 term expansion
FuzzyQuery fq = new FuzzyQuery(new Term("field", "broan"), 1, 0, 1, false);
SpanQuery sfq = new SpanMultiTermQueryWrapper<MultiTermQuery>(fq);
// will only match jumps over lazy broun dog
SpanPositionRangeQuery sprq = new SpanPositionRangeQuery(sfq, 0, 100);
Assert.AreEqual(1, Searcher.Search(sprq, 10).TotalHits);
}
public virtual void TestNoSuchMultiTermsInOr()
{
//test to make sure non existent multiterms aren't throwing null pointer exceptions
FuzzyQuery fuzzyNoSuch = new FuzzyQuery(new Term("field", "noSuch"), 1, 0, 1, false);
SpanQuery spanNoSuch = new SpanMultiTermQueryWrapper<MultiTermQuery>(fuzzyNoSuch);
SpanQuery term = new SpanTermQuery(new Term("field", "brown"));
SpanOrQuery near = new SpanOrQuery(new SpanQuery[] { term, spanNoSuch });
Assert.AreEqual(1, Searcher.Search(near, 10).TotalHits);
//flip
near = new SpanOrQuery(new SpanQuery[] { spanNoSuch, term });
Assert.AreEqual(1, Searcher.Search(near, 10).TotalHits);
WildcardQuery wcNoSuch = new WildcardQuery(new Term("field", "noSuch*"));
SpanQuery spanWCNoSuch = new SpanMultiTermQueryWrapper<MultiTermQuery>(wcNoSuch);
near = new SpanOrQuery(new SpanQuery[] { term, spanWCNoSuch });
Assert.AreEqual(1, Searcher.Search(near, 10).TotalHits);
RegexpQuery rgxNoSuch = new RegexpQuery(new Term("field", "noSuch"));
SpanQuery spanRgxNoSuch = new SpanMultiTermQueryWrapper<MultiTermQuery>(rgxNoSuch);
near = new SpanOrQuery(new SpanQuery[] { term, spanRgxNoSuch });
Assert.AreEqual(1, Searcher.Search(near, 10).TotalHits);
PrefixQuery prfxNoSuch = new PrefixQuery(new Term("field", "noSuch"));
SpanQuery spanPrfxNoSuch = new SpanMultiTermQueryWrapper<MultiTermQuery>(prfxNoSuch);
near = new SpanOrQuery(new SpanQuery[] { term, spanPrfxNoSuch });
Assert.AreEqual(1, Searcher.Search(near, 10).TotalHits);
near = new SpanOrQuery(new SpanQuery[] { spanPrfxNoSuch });
Assert.AreEqual(0, Searcher.Search(near, 10).TotalHits);
near = new SpanOrQuery(new SpanQuery[] { spanPrfxNoSuch, spanPrfxNoSuch });
Assert.AreEqual(0, Searcher.Search(near, 10).TotalHits);
}
public virtual void TestNoSuchMultiTermsInSpanFirst()
{
//this hasn't been a problem
FuzzyQuery fuzzyNoSuch = new FuzzyQuery(new Term("field", "noSuch"), 1, 0, 1, false);
SpanQuery spanNoSuch = new SpanMultiTermQueryWrapper<MultiTermQuery>(fuzzyNoSuch);
SpanQuery spanFirst = new SpanFirstQuery(spanNoSuch, 10);
Assert.AreEqual(0, Searcher.Search(spanFirst, 10).TotalHits);
WildcardQuery wcNoSuch = new WildcardQuery(new Term("field", "noSuch*"));
SpanQuery spanWCNoSuch = new SpanMultiTermQueryWrapper<MultiTermQuery>(wcNoSuch);
spanFirst = new SpanFirstQuery(spanWCNoSuch, 10);
Assert.AreEqual(0, Searcher.Search(spanFirst, 10).TotalHits);
RegexpQuery rgxNoSuch = new RegexpQuery(new Term("field", "noSuch"));
SpanQuery spanRgxNoSuch = new SpanMultiTermQueryWrapper<MultiTermQuery>(rgxNoSuch);
spanFirst = new SpanFirstQuery(spanRgxNoSuch, 10);
Assert.AreEqual(0, Searcher.Search(spanFirst, 10).TotalHits);
PrefixQuery prfxNoSuch = new PrefixQuery(new Term("field", "noSuch"));
SpanQuery spanPrfxNoSuch = new SpanMultiTermQueryWrapper<MultiTermQuery>(prfxNoSuch);
spanFirst = new SpanFirstQuery(spanPrfxNoSuch, 10);
Assert.AreEqual(0, Searcher.Search(spanFirst, 10).TotalHits);
}
/// <summary>
/// Adds a fuzzy clause to this instance
/// </summary>
/// <remarks>Fuzzy clauses find results within a particular relevance distance of each hit</remarks>
/// <param name="term">Term to add to this query</param>
/// <param name="occurrence">Defines how the term is added to this query</param>
/// <param name="minimumSimilarity">Defines the amount of similarity that is allowed between matches</param>
public void AddFuzzyClause(SearchTerm term, ClauseOccurrence occurrence, float minimumSimilarity)
{
if (term == null)
throw new ArgumentNullException("term", "term cannot be null");
IncrementTotalClauses(1);
FuzzyQuery fuzzyQuery = new FuzzyQuery(term.GetLuceneTerm(), minimumSimilarity);
fuzzyQuery.SetBoost(term.Boost);
this.luceneQuery.Add(fuzzyQuery, TypeConverter.ConvertToLuceneClauseOccurrence(occurrence));
fuzzyQuery = null;
}
public SpanMultiQuery(FuzzyQuery query)
{
_query = query;
}
