I have some description field per content and those are:
For content1:
The quick brown fox jumps over the lazy dog. And the lazy dog is good.
For content2:
The lazy fog is crazy.
Now, when I use keyword = lazy dog, I want to give result as content1 and not content2
I tried like:
BaseSearchProvider searcher = ExamineManager.Instance.SearchProviderCollection["MySearch"];
ISearchCriteria criteria =
searcher.CreateSearchCriteria()
.GroupedAnd( new List<string> { "description" }, "lazy dog") )
.Compile();
ISearchResults result = searcher.Search( criteria );
But it didn't gave me desired results, it give me results: content1 and content2.
What should I do in order to get as content1 result ?
By default examine is compiling this query to:
+(+description:lazy dog)
and based on it it's returning the results with both: lazy and dog words.
What you want to achieve is:
+(+description:"lazy dog")
First of what you need to try is to escape the phrase. In your case it will be:
BaseSearchProvider searcher = ExamineManager.Instance.SearchProviderCollection["MySearch"];
ISearchCriteria criteria =
searcher.CreateSearchCriteria()
.GroupedAnd( new List<string> { "description" }, "lazy dog".Escape()) )
.Compile();
ISearchResults result = searcher.Search( criteria );
Can't test it now, but there were some problems with it in the past from what I remember. The second option and a life saver for you, may be building the search query manually and using the raw query.
BaseSearchProvider searcher = ExamineManager.Instance.SearchProviderCollection["MySearch"];
ISearchCriteria criteria = searcher.CreateSearchCriteria();
var query = criteria.RawQuery("+description:\"lazy dog\"");
ISearchResults result = searcher.Search( query );
And it should return you correct = matched result only. Personally, I've used also some boosting of specific words to just point some results higher in the score list, but if you want to have only matched items, try above solutions and let me know if it helped you.
If you want to deal with more than one property, you can either use some fluent API methods like GroupedAnd or GroupedOr (depending of the desired behaviour of search) or build more advanced raw query.
For the first option, check Grouped Operations documentation: https://github.com/Shazwazza/Examine/wiki/Grouped-Operations.
For the second scenario it would be the best to analyze how it's done e.g. in ezSearch package (which btw. is awesome!): https://github.com/umco/umbraco-ezsearch/blob/master/Src/Our.Umbraco.ezSearch/Web/UI/Views/MacroPartials/ezSearch.cshtml.
Related
When I search for "cars blue" I get every result that matches "cars" or "blue", but I need to match them both. I've read about setting some defaultOperator to AND but I can't find where to do that,
Also I can't use PhraseQuery because the order of the terms in the search query is irrelevant,
This is my code so far, thanks!
// create the query using Hibernate Search query DSL
QueryBuilder queryBuilder = fullTextEntityManager.getSearchFactory()
.buildQueryBuilder().forEntity(Articulo.class).get();
// a very basic query by keywords
BooleanJunction<BooleanJunction> bool = queryBuilder.bool();
bool.must(queryBuilder.keyword()
.onFields("description")
.matching(text)
.createQuery()
);
Query query = bool.createQuery();
FullTextQuery jpaQuery =
fullTextEntityManager.createFullTextQuery(query, Articulo.class);
return jpaQuery.getResultList();
Note: I'm using Hibernate Search 5.6.4
I think you're looking for the Simple query string feature.
See http://docs.jboss.org/hibernate/stable/search/reference/en-US/html_single/#_simple_query_string_queries for more details about it.
You have an example with .withAndAsDefaultOperator():
Query luceneQuery = mythQB
.simpleQueryString()
.onField("history")
.withAndAsDefaultOperator()
.matching("storm tree")
.createQuery();
This blog post explaining the rationale of this feature might be helpful too: http://in.relation.to/2017/04/27/simple-query-string-what-about-it/ .
Is it possible to find the position of words with a match when the indexed field isn't stored?
for example:
Query: "fox over dog"
Indexed text of matched doc: "The quick brown fox jumps over the lazy dog"
What I want: [4,6,9]
Note1: I know text can be highlighted using Lucene but I want the position of the words
Note2: The field isn't set to be stored by Lucene**
I have not done this for practical purposes - just to give a pseudo code and pointers that you can experiment with to reach to correct solution.
Also, you have not specified your Lucene version, I am using Lucene 6.0.0 with Java.
1.While Indexing, set these two booleans for your specific field for which positions are desired. Lucene will be able to give that data if indexing has stored that information otherwise not.
FieldType txtFieldType = new FieldType(
TextField.TYPE_NOT_STORED);
txtFieldType.setStoreTermVectors(true);
txtFieldType.setStoreTermVectorPositions(true);
2.At your searcher, you need to use Terms , TermsEnum & PostingsEnum like below,
`Terms terms = searcher.getIndexReader().getTermVector(hit.doc, "TEXT_FIELD");`
if(terms.hasPositions()){
TermsEnum termsEnum = terms.iterator();
PostingsEnum postings = null;
while(termsEnum.next() != null){
postings = termsEnum.postings(postings ,PostingsEnum.ALL);
while(postings.nextDoc() != PostingsEnum.NO_MORE_DOCS){
System.out.println(postings.nextPosition());
}
You need to do some of your own analysis to arrive at the data that you need but your first need to save meta data as pointed in point # 1.
}
}
searcher is IndexSearcher instance, hit.doc is doc id and hit is a ScoreDoc .
I come up with solution to programmaticlly create query to search for phrase with wildcards using this code:
public static Query createPhraseQuery(String[] phraseWords, String field) {
SpanQuery[] queryParts = new SpanQuery[phraseWords.length];
for (int i = 0; i < phraseWords.length; i++) {
WildcardQuery wildQuery = new WildcardQuery(new Term(field, phraseWords[i]));
queryParts[i] = new SpanMultiTermQueryWrapper<WildcardQuery>(wildQuery);
}
return new SpanNearQuery(queryParts, //words
0, //max distance
true //exact order
);
}
Example creation and call toString() method will output:
String[] phraseWords = new String[]{"foo*", "b*r"};
Query phraseQuery = createPhraseQuery(phraseWords, "text");
System.out.println(phraseQuery.toString());
outputs:
spanNear([SpanMultiTermQueryWrapper(text:foo*), SpanMultiTermQueryWrapper(text:b*r)], 0, true)
Which works great, and fast enough for most cases. For instance, if I create such query and search with it, It will output desired results, for example:
Sentence with foo bar.
Foolies beer drinkers.
...
And not something like:
Bar fooes.
Foo has bar.
I have mentioned that query work fast enough in most cases. Currently I have an index with size of aprox. 200GB and on average searching time is between 0.1 to 3 seconds. Depending on many factors like: cache, size of subsets of documents matching single word in phrase since lucene will perform set intersections between founded terms.
Example:
Let supose I want to query phrase "an* karenjin*" (which I will split into ["an*", "karenjin*"] and than create query using createPhraseQuery method) and I want that it matches sentences containing: "ana karenjina", "ani karenjinoj", "ane karenjine", ... (different cases due croatian grammar).
This query is very slow that I haven't waited long enough to get results (over 1h) and sometimes causes GC overhead limit exceeded exception.
This behaviour is somewhat expected since "an*" itself matches a huge number of documents. I am aware of that I could query "an? karanjin*" which giver results in 30-40sec (faster but still slow).
This is where I am confused.
If I query just "karenjin*" it gives results in 1 sec. Therefore I have tried to query "an* karenjin*" and using a Filter "karenjin*" using WildcardQuery and QueryWrapperFilter. And it is still unacceptable slow (I killed process before it returned anythong).
Documentation says that Filter reduces search space of Query. So I tried to use filter:
Filter filter = new QueryWrapperFilter(new WildcardQuery(new Term("text", "karanjin*")));
And query:
Query query = createPhraseQuery(new String[]{"an*", "karenjin*"}, "text");
Than search, (after several warm-up queries):
Sort sort = new Sort(new SortField("insertTime", SortField.Type.STRING, true));
TopDocs docs = searcher.search(query, filter, 100, sort);
OK, what is my question?
How come is quering:
Query query = new WildcardQuery(new Term("text", "karanjin*"));
is fast, but using Filter described above is still slow?
Yes, wildcards can be performance hogs, especially if they match a lot of terms, but what you describe does seem surprisingly so. Hard to say for sure why that is occuring, but for an attempt.
I'll assume:
Query query = new WildcardQuery(new Term("text", "an*"));
On it's own, is performing very badly, as described. Since the wildcards you are looking for are both prefix style queries, it's a better idea to use a PrefixQuery instead.
Query query = new PrefixQuery(new Term("text", "an"));
Though I don't think that will make much of a difference if any at all. What might just make a different is changing you rewrite method. You could try limiting the number of Terms the query is rewritten into:
Query query = new PrefixQuery(new Term("text", "an"));
//or
//Query query = new WildcardQuery(new Term("text", "an*"));
query.setRewriteMethod(new MultiTermQuery.RewriteMethod.TopTermsRewrite(10));
I am looking for a way of coding the lucene fuzzy query that searches all the documents, which are relevant to an exact phrase. If I search "mosa employee appreciata", a document contains "most employees appreciate" will be returned as the result.
I tried to use:
FuzzyQeury = new FuzzyQuery(new Term("contents","mosa employee appreicata"))
Unfortunately, it empirically doesn't work. The FuzzyQuery employs the editor distance, theoretically, "mosa employee appreciata" should be matched with "most employees appreciate" provide the appropriate distance is given. It seems a bit odd.
Any clues? Thank you.
There are two likely problems here. First: I'm guessing the "contents" field is being analyzed such that "most employees apreciate" is not a term, but rather three terms. Defining as a single term is not appropriate in this case.
However, even if the content listed is a single term, a second likely problem we have is that there is too much distance between the terms to get a match. The Damerau-Levenshtein distance between mosa employee appreicata and most employees appreciate is 4 (the approximate distance, incidentally, between my average first shot at spelling
"Damerau-Levenshtein" and the correct spelling). Fuzzy Query, as of 4.0, handles edit distances of no more than 2, due to performance constraints, and the assumption that larger distances are usually not particularly relevant.
If you need to perform a phrase query with fuzzy terms, you should look into either MultiPhraseQuery, or combine a set of SpanQueries (especially SpanMultiTermQueryWrapper and SpanNearQuery) to meet your needs.
SpanQuery[] clauses = new SpanQuery[3];
clauses[0] = new SpanMultiTermQueryWrapper(new FuzzyQuery(new Term("contents", "mosa")));
clauses[1] = new SpanMultiTermQueryWrapper(new FuzzyQuery(new Term("contents", "employee")));
clauses[2] = new SpanMultiTermQueryWrapper(new FuzzyQuery(new Term("contents", "appreicata")));
SpanNearQuery query = new SpanNearQuery(clauses, 0, true)
And since none of the individual terms have an edit distance greater than 2, this should be more effective.
ComplexPhraseQueryParser handles fuzzy searching on phrase words - i.e., specify the words that should be fuzzy searched and those that should not. Works as follows
Query query = new ComplexPhraseQueryParser("content", analyzer)
.parse("some test~ query~ blah blah");
Seems to work nicely. Not sure about performance, however but seems to work well on small data sets.
I had some (very small) millage with the following:
String[] searchTerms = searchString.split(" ");
FuzzyLikeThisQuery fltw = new FuzzyLikeThisQuery(searchTerms.length, new StandardAnalyzer());
Arrays.stream(searchTerms)
.forEach(term -> fltq.addTerms(term, FIELD, SIMILARITY_IN_EDITS, PREFIX_LENGTH);
This query matches far too distant strings with the index. String that don't match are ones where each of the terms are distant by more than 2 edits from the terms used in the indexed content.
Please use at your own peril.
The answer from femtoRgon is great! Thank you.
There is another way to solve this problem.
//declare a mutilphrasequery
MultiPhraseQuery childrenInOrder = new MultiPhraseQuery();
//user fuzzytermenum to enumerate your query string
FuzzyTermEnum fuzzyEnumeratedTerms1 = new FuzzyTermEnum(reader, new Term(searchField,"mosa"));
FuzzyTermEnum fuzzyEnumeratedTerms2 = new FuzzyTermEnum(reader, new Term(searchField,"employee"));
FuzzyTermEnum fuzzyEnumeratedTerms3 = new FuzzyTermEnum(reader, new Term(searchField,"appreicata"));
//this basically pull out the possbile terms from the index
Term termHolder1 = fuzzyEnumeratedTerms1.term();
Term termHolder2 = fuzzyEnumeratedTerms2.term();
Term termHolder3 = fuzzyEnumeratedTerms3.term();
//put the possible terms into multiphrasequery
if (termHolder1==null){
childrenInOrder.add(new Term(searchField,"mosa"));
}else{
childrenInOrder.add(fuzzyEnumeratedTerms1.term());
}
if (termHolder2==null){
childrenInOrder.add(new Term(searchField,"employee"));
}else{
childrenInOrder.add(fuzzyEnumeratedTerms2.term());
}
if (termHolder3==null){
childrenInOrder.add(new Term(searchField,"appreicata"));
}else{
childrenInOrder.add(fuzzyEnumeratedTerms3.term());
}
//close it - it is important to close it
fuzzyEnumeratedTerms1.close();
fuzzyEnumeratedTerms2.close();
fuzzyEnumeratedTerms3.close();
I am using Umbraco and came across Lucene. I found a lot of code and articles on Lucene, but I still can't build an acceptable search.
I have a number of fields to search from, eg. "nodeName" and "bodyText"
What I need:
When I search for "men shoes", it should only return results that have both "men" and "shoes", but also return a page where the nodeName only has "shoes" and the bodyText only has "men".
When I search for "shoes", I want results containing "shoe" or "shoes." but not "hoes" if possible
Boost the nodeName field
Get a snippet of bodyText that contains the matched word(s)
Highlight the matched words on both the page name and the snippet of the bodyText
Has anyone ever done this?
This might get you started.
var manager = ExamineManager.Instance;
var searcher = manager.SearchProviderCollection["YOURSearcher"];
var query = manager.SearchProviderCollection["YOURSearcher"].CreateSearchCriteria(BooleanOperation.Or)
.Field("nodeName", keywords.Boost(10))
.Or().Field("nodeName", keywords.Fuzzy())
.Or().Field("bodyContent", keywords.Boost(5))
.Or().Field("otherField", keywords.Boost(3));
var results = searcher.Search(query.Compile());
The code by Jonathan Lathigee works, it's the most google-like I could find so far
http://our.umbraco.org/forum/developers/extending-umbraco/19329-Search-multiple-fields-for-multiple-terms-with-examine?p=0