Example usage for org.apache.lucene.search BooleanClause BooleanClause

Introduction

In this page you can find the example usage for org.apache.lucene.search BooleanClause BooleanClause.

Prototype

public BooleanClause(Query query, Occur occur) 

Source Link

Document

Constructs a BooleanClause.

Usage

From source file:SimpleNaiveBayesClassifier.java

License:Apache License

/**
 * count the number of documents in the index having at least a value for the 'class' field
 *
 * @return the no. of documents having a value for the 'class' field
 * @throws IOException if accessing to term vectors or search fails
 *//*from   www  . j  a  va  2 s.c  o  m*/
protected int countDocsWithClass() throws IOException {
    int docCount = MultiFields.getTerms(this.leafReader, this.classFieldName).getDocCount();
    if (docCount == -1) { // in case codec doesn't support getDocCount
        TotalHitCountCollector classQueryCountCollector = new TotalHitCountCollector();
        BooleanQuery.Builder q = new BooleanQuery.Builder();
        q.add(new BooleanClause(
                new WildcardQuery(new Term(classFieldName, String.valueOf(WildcardQuery.WILDCARD_STRING))),
                BooleanClause.Occur.MUST));
        if (query != null) {
            q.add(query, BooleanClause.Occur.MUST);
        }
        indexSearcher.search(q.build(), classQueryCountCollector);
        docCount = classQueryCountCollector.getTotalHits();
    }
    return docCount;
}

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From source file:SimpleNaiveBayesClassifier.java

License:Apache License

/**
 * Returns the number of documents of the input class ( from the whole index or from a subset)
 * that contains the word ( in a specific field or in all the fields if no one selected)
 * @param word the token produced by the analyzer
 * @param term the term representing the class
 * @return the number of documents of the input class
 * @throws IOException if a low level I/O problem happens
 *//*  w w  w .j  a va 2 s .  c om*/
private int getWordFreqForClass(String word, Term term) throws IOException {
    BooleanQuery.Builder booleanQuery = new BooleanQuery.Builder();
    BooleanQuery.Builder subQuery = new BooleanQuery.Builder();
    for (String textFieldName : textFieldNames) {
        subQuery.add(
                new BooleanClause(new TermQuery(new Term(textFieldName, word)), BooleanClause.Occur.SHOULD));
    }
    booleanQuery.add(new BooleanClause(subQuery.build(), BooleanClause.Occur.MUST));
    booleanQuery.add(new BooleanClause(new TermQuery(term), BooleanClause.Occur.MUST));
    if (query != null) {
        booleanQuery.add(query, BooleanClause.Occur.MUST);
    }
    TotalHitCountCollector totalHitCountCollector = new TotalHitCountCollector();
    indexSearcher.search(booleanQuery.build(), totalHitCountCollector);
    return totalHitCountCollector.getTotalHits();
}

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From source file:KNearestNeighbourDocumentClassifier.java

License:Apache License

/**
 * Returns the top k results from a More Like This query based on the input document
 *
 * @param document the document to use for More Like This search
 * @return the top results for the MLT query
 * @throws IOException If there is a low-level I/O error
 *///from  w w  w. j av a  2s .c  om
private TopDocs knnSearch(Document document) throws IOException {
    BooleanQuery.Builder mltQuery = new BooleanQuery.Builder();

    for (String fieldName : textFieldNames) {
        String boost = null;
        if (fieldName.contains("^")) {
            String[] field2boost = fieldName.split("\\^");
            fieldName = field2boost[0];
            boost = field2boost[1];
        }
        String[] fieldValues = document.getValues(fieldName);
        if (boost != null) {
            mlt.setBoost(true);
            mlt.setBoostFactor(Float.parseFloat(boost));
        }
        mlt.setAnalyzer(field2analyzer.get(fieldName));
        for (String fieldContent : fieldValues) {
            mltQuery.add(new BooleanClause(mlt.like(fieldName, new StringReader(fieldContent)),
                    BooleanClause.Occur.SHOULD));
        }
        mlt.setBoost(false);
    }
    Query classFieldQuery = new WildcardQuery(new Term(classFieldName, "*"));
    mltQuery.add(new BooleanClause(classFieldQuery, BooleanClause.Occur.MUST));
    if (query != null) {
        mltQuery.add(query, BooleanClause.Occur.MUST);
    }
    return indexSearcher.search(mltQuery.build(), k);
}

---

From source file:KNearestNeighborClassifier.java

License:Apache License

private TopDocs knnSearch(String text) throws IOException {
    BooleanQuery.Builder mltQuery = new BooleanQuery.Builder();
    for (String fieldName : textFieldNames) {
        String boost = null;/*  w  ww.  j  a v a 2 s .com*/
        mlt.setBoost(true); //terms boost actually helps in MLT queries
        if (fieldName.contains("^")) {
            String[] field2boost = fieldName.split("\\^");
            fieldName = field2boost[0];
            boost = field2boost[1];
        }
        if (boost != null) {
            mlt.setBoostFactor(Float.parseFloat(boost));//if we have a field boost, we add it
        }
        mltQuery.add(
                new BooleanClause(mlt.like(fieldName, new StringReader(text)), BooleanClause.Occur.SHOULD));
        mlt.setBoostFactor(1);// restore neutral boost for next field
    }
    Query classFieldQuery = new WildcardQuery(new Term(classFieldName, "*"));
    mltQuery.add(new BooleanClause(classFieldQuery, BooleanClause.Occur.MUST));
    if (query != null) {
        mltQuery.add(query, BooleanClause.Occur.MUST);
    }
    return indexSearcher.search(mltQuery.build(), k);
}

---

From source file:SimpleNaiveBayesDocumentClassifier.java

License:Apache License

/**
 * Returns the number of documents of the input class ( from the whole index or from a subset)
 * that contains the word ( in a specific field or in all the fields if no one selected)
 *
 * @param word      the token produced by the analyzer
 * @param fieldName the field the word is coming from
 * @param term      the class term/*from   w  w w .j  a va 2 s . c  o  m*/
 * @return number of documents of the input class
 * @throws java.io.IOException If there is a low-level I/O error
 */
private int getWordFreqForClass(String word, String fieldName, Term term) throws IOException {
    BooleanQuery.Builder booleanQuery = new BooleanQuery.Builder();
    BooleanQuery.Builder subQuery = new BooleanQuery.Builder();
    subQuery.add(new BooleanClause(new TermQuery(new Term(fieldName, word)), BooleanClause.Occur.SHOULD));
    booleanQuery.add(new BooleanClause(subQuery.build(), BooleanClause.Occur.MUST));
    booleanQuery.add(new BooleanClause(new TermQuery(term), BooleanClause.Occur.MUST));
    if (query != null) {
        booleanQuery.add(query, BooleanClause.Occur.MUST);
    }
    TotalHitCountCollector totalHitCountCollector = new TotalHitCountCollector();
    indexSearcher.search(booleanQuery.build(), totalHitCountCollector);
    return totalHitCountCollector.getTotalHits();
}

---

From source file:bbejeck.nosql.lucene.LuceneQueryBuilder.java

License:Apache License

public BooleanClause build() {
    if (occur == null) {
        occur = BooleanClause.Occur.MUST;
    }//  w w w.j  av  a2 s.  c  o m

    if (booleanClauses == null || booleanClauses.isEmpty()) {
        return new BooleanClause(queryType.query(field, text), occur);
    }

    BooleanQuery booleanQuery = LuceneQueryFunctions.toBooleanQuery.apply(booleanClauses);
    return new BooleanClause(booleanQuery, occur);
}

---

From source file:com.aistor.modules.cms.service.ArticleService.java

License:Open Source License

/**
 * //  w  w w .  j av  a  2 s  .  co  m
 */
public Page<Article> search(Page<Article> page, String q) {

    // ?
    BooleanQuery query = articleDao.getFullTextQuery(q, "title", "keywords", "desciption",
            "articleData.content");
    // ?
    BooleanQuery queryFilter = articleDao.getFullTextQuery(
            new BooleanClause(new TermQuery(new Term("status", Article.STATUS_RELEASE)), Occur.MUST));
    // ?
    Sort sort = new Sort(new SortField("updateDate", SortField.DOC, true));
    // 
    articleDao.search(page, query, queryFilter, sort);
    // 
    articleDao.keywordsHighlight(query, page.getList(), "desciption", "articleData.content");

    return page;
}

---

From source file:com.appeligo.amazon.AmazonSearcher.java

License:Apache License

public AmazonItem getProgramPurchases(String programId) {
    Searcher searcher = getProductSearcher();
    BooleanQuery query = new BooleanQuery();
    query.add(new BooleanClause(new TermQuery(new Term("programId", programId)), Occur.MUST));
    query.add(new BooleanClause(new TermQuery(new Term("type", "product")), Occur.MUST));
    AmazonItem item = null;// www.j  a v  a2 s.  c om
    try {
        Hits hits = searcher.search(query);
        if (hits.length() > 0) {
            item = createItem(hits.doc(0));
        }
    } catch (IOException e) {
        if (log.isWarnEnabled()) {
            log.warn("Error searching for program purchase: " + programId, e);
        }
    }
    return item;
}

---

From source file:com.bewsia.script.LuceneHandler.java

License:Open Source License

public int count(String kind, Query query, Filter filter, Sort sort, int max) {
    int tag = 0;//from   ww  w .ja v a2 s  .c o m
    try {
        IndexReader reader = IndexReader.open(FSDirectory.open(new File(dirIndex)));
        IndexSearcher searcher = new IndexSearcher(reader);
        BooleanQuery boolQuery = new BooleanQuery();
        boolQuery.add(new BooleanClause(new TermQuery(new Term(SEntity.KIND, kind)), Occur.MUST));
        if (query != null) {
            boolQuery.add(new BooleanClause(query, Occur.MUST));
        }
        TopDocs td = null;
        if (filter != null && sort != null) {
            td = searcher.search(boolQuery, filter, max, sort);
        } else if (filter != null) {
            td = searcher.search(boolQuery, filter, max);
        } else if (sort != null) {
            td = searcher.search(boolQuery, max, sort);
        } else {
            td = searcher.search(boolQuery, max);
        }
        tag = td.totalHits;
        searcher.close();
        reader.close();
    } catch (Exception e) {
    }
    return tag;
}

---

From source file:com.bewsia.script.LuceneHandler.java

License:Open Source License

public List<SEntity> search(String kind, Query query, Filter filter, Sort sort, int max) {
    List<SEntity> tag = new ArrayList<SEntity>();
    try {//from   ww w. j a  v a2s  .  co m
        IndexReader reader = IndexReader.open(FSDirectory.open(new File(dirIndex)));
        IndexSearcher searcher = new IndexSearcher(reader);
        BooleanQuery boolQuery = new BooleanQuery();
        boolQuery.add(new BooleanClause(new TermQuery(new Term(SEntity.KIND, kind)), Occur.MUST));
        if (query != null) {
            boolQuery.add(new BooleanClause(query, Occur.MUST));
        }
        TopDocs td = null;
        if (filter != null && sort != null) {
            td = searcher.search(boolQuery, filter, max, sort);
        } else if (filter != null) {
            td = searcher.search(boolQuery, filter, max);
        } else if (sort != null) {
            td = searcher.search(boolQuery, max, sort);
        } else {
            td = searcher.search(boolQuery, max);
        }
        for (int i = 0; i < td.totalHits; i++) {
            SEntity item = new SEntity(this);
            Document doc = searcher.doc(td.scoreDocs[i].doc);
            item.setSchema(doc.get(SEntity.SCHEMA));
            read(item, doc);
            tag.add(item);
        }
        searcher.close();
        reader.close();
    } catch (Exception e) {
    }
    return tag;
}

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