Package org.elasticsearch.common.lucene.search

Examples of org.elasticsearch.common.lucene.search.MoreLikeThisQuery

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    }

    @Override public Query parse(QueryParseContext parseContext) throws IOException, QueryParsingException {
        XContentParser parser = parseContext.parser();

        MoreLikeThisQuery mltQuery = new MoreLikeThisQuery();
        mltQuery.setMoreLikeFields(new String[]{AllFieldMapper.NAME});
        mltQuery.setSimilarity(parseContext.searchSimilarity());
        Analyzer analyzer = null;

        XContentParser.Token token;
        String currentFieldName = null;
        while ((token = parser.nextToken()) != XContentParser.Token.END_OBJECT) {
            if (token == XContentParser.Token.FIELD_NAME) {
                currentFieldName = parser.currentName();
            } else if (token.isValue()) {
                if ("like_text".equals(currentFieldName) || "likeText".equals(currentFieldName)) {
                    mltQuery.setLikeText(parser.text());
                } else if ("min_term_freq".equals(currentFieldName) || "minTermFreq".equals(currentFieldName)) {
                    mltQuery.setMinTermFrequency(parser.intValue());
                } else if ("max_query_terms".equals(currentFieldName) || "maxQueryTerms".equals(currentFieldName)) {
                    mltQuery.setMaxQueryTerms(parser.intValue());
                } else if ("min_doc_freq".equals(currentFieldName) || "minDocFreq".equals(currentFieldName)) {
                    mltQuery.setMinDocFreq(parser.intValue());
                } else if ("max_doc_freq".equals(currentFieldName) || "maxDocFreq".equals(currentFieldName)) {
                    mltQuery.setMaxDocFreq(parser.intValue());
                } else if ("min_word_len".equals(currentFieldName) || "minWordLen".equals(currentFieldName)) {
                    mltQuery.setMinWordLen(parser.intValue());
                } else if ("max_word_len".equals(currentFieldName) || "maxWordLen".equals(currentFieldName)) {
                    mltQuery.setMaxWordLen(parser.intValue());
                } else if ("boost_terms".equals(currentFieldName) || "boostTerms".equals(currentFieldName)) {
                    mltQuery.setBoostTerms(true);
                    mltQuery.setBoostTermsFactor(parser.floatValue());
                } else if ("percent_terms_to_match".equals(currentFieldName) || "percentTermsToMatch".equals(currentFieldName)) {
                    mltQuery.setPercentTermsToMatch(parser.floatValue());
                } else if ("analyzer".equals(currentFieldName)) {
                    analyzer = parseContext.analysisService().analyzer(parser.text());
                }
            } else if (token == XContentParser.Token.START_ARRAY) {
                if ("stop_words".equals(currentFieldName) || "stopWords".equals(currentFieldName)) {
                    Set<String> stopWords = Sets.newHashSet();
                    while ((token = parser.nextToken()) != XContentParser.Token.END_ARRAY) {
                        stopWords.add(parser.text());
                    }
                    mltQuery.setStopWords(stopWords);
                } else if ("fields".equals(currentFieldName)) {
                    List<String> fields = Lists.newArrayList();
                    while ((token = parser.nextToken()) != XContentParser.Token.END_ARRAY) {
                        fields.add(parseContext.indexName(parser.text()));
                    }
                    mltQuery.setMoreLikeFields(fields.toArray(new String[fields.size()]));
                }
            }
        }

        if (mltQuery.getLikeText() == null) {
            throw new QueryParsingException(parseContext.index(), "more_like_this requires 'like_text' to be specified");
        }
        if (mltQuery.getMoreLikeFields() == null || mltQuery.getMoreLikeFields().length == 0) {
            throw new QueryParsingException(parseContext.index(), "more_like_this requires 'fields' to be specified");
        }

        if (analyzer == null) {
            analyzer = parseContext.mapperService().searchAnalyzer();
        }

        mltQuery.setAnalyzer(analyzer);
        return mltQuery;
    }
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    @Test public void testMoreLikeThisBuilder() throws Exception {
        IndexQueryParserService queryParser = queryParser();
        Query parsedQuery = queryParser.parse(moreLikeThisQuery("name.first", "name.last").likeText("something").minTermFreq(1).maxQueryTerms(12)).query();
        assertThat(parsedQuery, instanceOf(MoreLikeThisQuery.class));
        MoreLikeThisQuery mltQuery = (MoreLikeThisQuery) parsedQuery;
        assertThat(mltQuery.getMoreLikeFields()[0], equalTo("name.first"));
        assertThat(mltQuery.getLikeText(), equalTo("something"));
        assertThat(mltQuery.getMinTermFrequency(), equalTo(1));
        assertThat(mltQuery.getMaxQueryTerms(), equalTo(12));
    }
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    @Test public void testMoreLikeThis() throws Exception {
        IndexQueryParserService queryParser = queryParser();
        String query = copyToStringFromClasspath("/org/elasticsearch/index/query/mlt.json");
        Query parsedQuery = queryParser.parse(query).query();
        assertThat(parsedQuery, instanceOf(MoreLikeThisQuery.class));
        MoreLikeThisQuery mltQuery = (MoreLikeThisQuery) parsedQuery;
        assertThat(mltQuery.getMoreLikeFields()[0], equalTo("name.first"));
        assertThat(mltQuery.getMoreLikeFields()[1], equalTo("name.last"));
        assertThat(mltQuery.getLikeText(), equalTo("something"));
        assertThat(mltQuery.getMinTermFrequency(), equalTo(1));
        assertThat(mltQuery.getMaxQueryTerms(), equalTo(12));
    }
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    @Test public void testMoreLikeThisFieldBuilder() throws Exception {
        IndexQueryParserService queryParser = queryParser();
        Query parsedQuery = queryParser.parse(moreLikeThisFieldQuery("name.first").likeText("something").minTermFreq(1).maxQueryTerms(12)).query();
        assertThat(parsedQuery, instanceOf(MoreLikeThisQuery.class));
        MoreLikeThisQuery mltQuery = (MoreLikeThisQuery) parsedQuery;
        assertThat(mltQuery.getMoreLikeFields()[0], equalTo("name.first"));
        assertThat(mltQuery.getLikeText(), equalTo("something"));
        assertThat(mltQuery.getMinTermFrequency(), equalTo(1));
        assertThat(mltQuery.getMaxQueryTerms(), equalTo(12));
    }
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    @Test public void testMoreLikeThisField() throws Exception {
        IndexQueryParserService queryParser = queryParser();
        String query = copyToStringFromClasspath("/org/elasticsearch/index/query/mltField.json");
        Query parsedQuery = queryParser.parse(query).query();
        assertThat(parsedQuery, instanceOf(MoreLikeThisQuery.class));
        MoreLikeThisQuery mltQuery = (MoreLikeThisQuery) parsedQuery;
        assertThat(mltQuery.getMoreLikeFields()[0], equalTo("name.first"));
        assertThat(mltQuery.getLikeText(), equalTo("something"));
        assertThat(mltQuery.getMinTermFrequency(), equalTo(1));
        assertThat(mltQuery.getMaxQueryTerms(), equalTo(12));
    }
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        // now, we move after the field name, which starts the object
        token = parser.nextToken();
        assert token == XContentParser.Token.START_OBJECT;


        MoreLikeThisQuery mltQuery = new MoreLikeThisQuery();
        mltQuery.setSimilarity(parseContext.searchSimilarity());
        Analyzer analyzer = null;

        String currentFieldName = null;
        while ((token = parser.nextToken()) != XContentParser.Token.END_OBJECT) {
            if (token == XContentParser.Token.FIELD_NAME) {
                currentFieldName = parser.currentName();
            } else if (token.isValue()) {
                if ("like_text".equals(currentFieldName)) {
                    mltQuery.setLikeText(parser.text());
                } else if ("min_term_freq".equals(currentFieldName) || "minTermFreq".equals(currentFieldName)) {
                    mltQuery.setMinTermFrequency(parser.intValue());
                } else if ("max_query_terms".equals(currentFieldName) || "maxQueryTerms".equals(currentFieldName)) {
                    mltQuery.setMaxQueryTerms(parser.intValue());
                } else if ("min_doc_freq".equals(currentFieldName) || "minDocFreq".equals(currentFieldName)) {
                    mltQuery.setMinDocFreq(parser.intValue());
                } else if ("max_doc_freq".equals(currentFieldName) || "maxDocFreq".equals(currentFieldName)) {
                    mltQuery.setMaxDocFreq(parser.intValue());
                } else if ("min_word_len".equals(currentFieldName) || "minWordLen".equals(currentFieldName)) {
                    mltQuery.setMinWordLen(parser.intValue());
                } else if ("max_word_len".equals(currentFieldName) || "maxWordLen".equals(currentFieldName)) {
                    mltQuery.setMaxWordLen(parser.intValue());
                } else if ("boost_terms".equals(currentFieldName) || "boostTerms".equals(currentFieldName)) {
                    mltQuery.setBoostTerms(true);
                    mltQuery.setBoostTermsFactor(parser.floatValue());
                } else if ("percent_terms_to_match".equals(currentFieldName) || "percentTermsToMatch".equals(currentFieldName)) {
                    mltQuery.setPercentTermsToMatch(parser.floatValue());
                } else if ("analyzer".equals(currentFieldName)) {
                    analyzer = parseContext.analysisService().analyzer(parser.text());
                }
            } else if (token == XContentParser.Token.START_ARRAY) {
                if ("stop_words".equals(currentFieldName) || "stopWords".equals(currentFieldName)) {
                    Set<String> stopWords = Sets.newHashSet();
                    while ((token = parser.nextToken()) != XContentParser.Token.END_ARRAY) {
                        stopWords.add(parser.text());
                    }
                    mltQuery.setStopWords(stopWords);
                }
            }
        }

        if (mltQuery.getLikeText() == null) {
            throw new QueryParsingException(parseContext.index(), "more_like_this_field requires 'like_text' to be specified");
        }

        // move to the next end object, to close the field name
        token = parser.nextToken();
        assert token == XContentParser.Token.END_OBJECT;

        MapperService.SmartNameFieldMappers smartNameFieldMappers = parseContext.smartFieldMappers(fieldName);
        if (smartNameFieldMappers != null) {
            if (smartNameFieldMappers.hasMapper()) {
                fieldName = smartNameFieldMappers.mapper().names().indexName();
                if (analyzer == null) {
                    analyzer = smartNameFieldMappers.mapper().searchAnalyzer();
                }
            }
        }
        if (analyzer == null) {
            analyzer = parseContext.mapperService().searchAnalyzer();
        }
        mltQuery.setAnalyzer(analyzer);
        mltQuery.setMoreLikeFields(new String[]{fieldName});
        return wrapSmartNameQuery(mltQuery, smartNameFieldMappers, parseContext);
    }
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    @Override
    public Query parse(QueryParseContext parseContext) throws IOException, QueryParsingException {
        XContentParser parser = parseContext.parser();

        MoreLikeThisQuery mltQuery = new MoreLikeThisQuery();
        mltQuery.setSimilarity(parseContext.searchSimilarity());
        Analyzer analyzer = null;
        List<String> moreLikeFields = null;
        boolean failOnUnsupportedField = true;
        String queryName = null;
        boolean include = false;

        XContentParser.Token token;
        String currentFieldName = null;

        List<String> likeTexts = new ArrayList<>();
        MultiTermVectorsRequest items = new MultiTermVectorsRequest();

        while ((token = parser.nextToken()) != XContentParser.Token.END_OBJECT) {
            if (token == XContentParser.Token.FIELD_NAME) {
                currentFieldName = parser.currentName();
            } else if (token.isValue()) {
                if (Fields.LIKE_TEXT.match(currentFieldName, parseContext.parseFlags())) {
                    likeTexts.add(parser.text());
                } else if (Fields.LIKE.match(currentFieldName, parseContext.parseFlags())) {
                    parseLikeField(parser, likeTexts, items);
                } else if (Fields.MIN_TERM_FREQ.match(currentFieldName, parseContext.parseFlags())) {
                    mltQuery.setMinTermFrequency(parser.intValue());
                } else if (Fields.MAX_QUERY_TERMS.match(currentFieldName, parseContext.parseFlags())) {
                    mltQuery.setMaxQueryTerms(parser.intValue());
                } else if (Fields.MIN_DOC_FREQ.match(currentFieldName, parseContext.parseFlags())) {
                    mltQuery.setMinDocFreq(parser.intValue());
                } else if (Fields.MAX_DOC_FREQ.match(currentFieldName, parseContext.parseFlags())) {
                    mltQuery.setMaxDocFreq(parser.intValue());
                } else if (Fields.MIN_WORD_LENGTH.match(currentFieldName, parseContext.parseFlags())) {
                    mltQuery.setMinWordLen(parser.intValue());
                } else if (Fields.MAX_WORD_LENGTH.match(currentFieldName, parseContext.parseFlags())) {
                    mltQuery.setMaxWordLen(parser.intValue());
                } else if (Fields.BOOST_TERMS.match(currentFieldName, parseContext.parseFlags())) {
                    float boostFactor = parser.floatValue();
                    if (boostFactor != 0) {
                        mltQuery.setBoostTerms(true);
                        mltQuery.setBoostTermsFactor(boostFactor);
                    }
                } else if (Fields.MINIMUM_SHOULD_MATCH.match(currentFieldName, parseContext.parseFlags())) {
                    mltQuery.setMinimumShouldMatch(parser.text());
                } else if (Fields.PERCENT_TERMS_TO_MATCH.match(currentFieldName, parseContext.parseFlags())) {
                    mltQuery.setMinimumShouldMatch(Math.round(parser.floatValue() * 100) + "%");
                } else if ("analyzer".equals(currentFieldName)) {
                    analyzer = parseContext.analysisService().analyzer(parser.text());
                } else if ("boost".equals(currentFieldName)) {
                    mltQuery.setBoost(parser.floatValue());
                } else if (Fields.FAIL_ON_UNSUPPORTED_FIELD.match(currentFieldName, parseContext.parseFlags())) {
                    failOnUnsupportedField = parser.booleanValue();
                } else if ("_name".equals(currentFieldName)) {
                    queryName = parser.text();
                } else if (Fields.INCLUDE.match(currentFieldName, parseContext.parseFlags())) {
                    include = parser.booleanValue();
                } else {
                    throw new QueryParsingException(parseContext.index(), "[mlt] query does not support [" + currentFieldName + "]");
                }
            } else if (token == XContentParser.Token.START_ARRAY) {
                if (Fields.STOP_WORDS.match(currentFieldName, parseContext.parseFlags())) {
                    Set<String> stopWords = Sets.newHashSet();
                    while ((token = parser.nextToken()) != XContentParser.Token.END_ARRAY) {
                        stopWords.add(parser.text());
                    }
                    mltQuery.setStopWords(stopWords);
                } else if ("fields".equals(currentFieldName)) {
                    moreLikeFields = Lists.newLinkedList();
                    while ((token = parser.nextToken()) != XContentParser.Token.END_ARRAY) {
                        moreLikeFields.add(parseContext.indexName(parser.text()));
                    }
                } else if (Fields.DOCUMENT_IDS.match(currentFieldName, parseContext.parseFlags())) {
                    while ((token = parser.nextToken()) != XContentParser.Token.END_ARRAY) {
                        if (!token.isValue()) {
                            throw new ElasticsearchIllegalArgumentException("ids array element should only contain ids");
                        }
                        items.add(newTermVectorRequest().id(parser.text()));
                    }
                } else if (Fields.DOCUMENTS.match(currentFieldName, parseContext.parseFlags())) {
                    while ((token = parser.nextToken()) != XContentParser.Token.END_ARRAY) {
                        if (token != XContentParser.Token.START_OBJECT) {
                            throw new ElasticsearchIllegalArgumentException("docs array element should include an object");
                        }
                        items.add(parseDocument(parser));
                    }
                } else if (Fields.LIKE.match(currentFieldName, parseContext.parseFlags())) {
                    while ((token = parser.nextToken()) != XContentParser.Token.END_ARRAY) {
                        parseLikeField(parser, likeTexts, items);
                    }
                } else {
                    throw new QueryParsingException(parseContext.index(), "[mlt] query does not support [" + currentFieldName + "]");
                }
            } else if (token == XContentParser.Token.START_OBJECT) {
                if (Fields.LIKE.match(currentFieldName, parseContext.parseFlags())) {
                    parseLikeField(parser, likeTexts, items);
                } else {
                    throw new QueryParsingException(parseContext.index(), "[mlt] query does not support [" + currentFieldName + "]");
                }
            }
        }

        if (likeTexts.isEmpty() && items.isEmpty()) {
            throw new QueryParsingException(parseContext.index(), "more_like_this requires at least 'like_text' or 'ids/docs' to be specified");
        }
        if (moreLikeFields != null && moreLikeFields.isEmpty()) {
            throw new QueryParsingException(parseContext.index(), "more_like_this requires 'fields' to be non-empty");
        }

        // set analyzer
        if (analyzer == null) {
            analyzer = parseContext.mapperService().searchAnalyzer();
        }
        mltQuery.setAnalyzer(analyzer);

        // set like text fields
        boolean useDefaultField = (moreLikeFields == null);
        if (useDefaultField) {
            moreLikeFields = Lists.newArrayList(parseContext.defaultField());
        }
        // possibly remove unsupported fields
        removeUnsupportedFields(moreLikeFields, analyzer, failOnUnsupportedField);
        if (moreLikeFields.isEmpty()) {
            return null;
        }
        mltQuery.setMoreLikeFields(moreLikeFields.toArray(Strings.EMPTY_ARRAY));

        // support for named query
        if (queryName != null) {
            parseContext.addNamedQuery(queryName, mltQuery);
        }

        // handle like texts
        if (!likeTexts.isEmpty()) {
            mltQuery.setLikeText(likeTexts);
        }

        // handle items
        if (!items.isEmpty()) {
            // set default index, type and fields if not specified
            for (TermVectorRequest item : items) {
                if (item.index() == null) {
                    item.index(parseContext.index().name());
                }
                if (item.type() == null) {
                    if (parseContext.queryTypes().size() > 1) {
                        throw new QueryParsingException(parseContext.index(),
                                "ambiguous type for item with id: " + item.id() + " and index: " + item.index());
                    } else {
                        item.type(parseContext.queryTypes().iterator().next());
                    }
                }
                // default fields if not present but don't override for artificial docs
                if (item.selectedFields() == null && item.doc() == null) {
                    if (useDefaultField) {
                        item.selectedFields("*");
                    } else {
                        item.selectedFields(moreLikeFields.toArray(new String[moreLikeFields.size()]));
                    }
                }
            }
            // fetching the items with multi-termvectors API
            BooleanQuery boolQuery = new BooleanQuery();
            org.apache.lucene.index.Fields[] likeFields = fetchService.fetch(items);
            mltQuery.setLikeText(likeFields);
            boolQuery.add(mltQuery, BooleanClause.Occur.SHOULD);
            // exclude the items from the search
            if (!include) {
                TermsFilter filter = new TermsFilter(UidFieldMapper.NAME, Uid.createUids(items.getRequests()));
                ConstantScoreQuery query = new ConstantScoreQuery(filter);
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    public void testMoreLikeThis() throws Exception {
        IndexQueryParserService queryParser = queryParser();
        String query = copyToStringFromClasspath("/org/elasticsearch/index/query/mlt.json");
        Query parsedQuery = queryParser.parse(query).query();
        assertThat(parsedQuery, instanceOf(MoreLikeThisQuery.class));
        MoreLikeThisQuery mltQuery = (MoreLikeThisQuery) parsedQuery;
        assertThat(mltQuery.getMoreLikeFields()[0], equalTo("name.first"));
        assertThat(mltQuery.getMoreLikeFields()[1], equalTo("name.last"));
        assertThat(mltQuery.getLikeText(), equalTo("something"));
        assertThat(mltQuery.getMinTermFrequency(), equalTo(1));
        assertThat(mltQuery.getMaxQueryTerms(), equalTo(12));
    }
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        assertThat(booleanQuery.getClauses().length, is(1));

        BooleanClause itemClause = booleanQuery.getClauses()[0];
        assertThat(itemClause.getOccur(), is(BooleanClause.Occur.SHOULD));
        assertThat(itemClause.getQuery(), instanceOf(MoreLikeThisQuery.class));
        MoreLikeThisQuery mltQuery = (MoreLikeThisQuery) itemClause.getQuery();

        // check each Fields is for each item
        for (int id = 1; id <= 4; id++) {
            Fields fields = mltQuery.getLikeFields()[id - 1];
            assertThat(termsToString(fields.terms("name.first")), is(String.valueOf(id)));
            assertThat(termsToString(fields.terms("name.last")), is(String.valueOf(id)));
        }
    }
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        IndexQueryParserService queryParser = queryParser();
        String query = copyToStringFromClasspath("/org/elasticsearch/index/query/mlt-items.json");
        BooleanQuery parsedQuery = (BooleanQuery) queryParser.parse(query).query();

        // get MLT query, other clause is for include/exclude items
        MoreLikeThisQuery mltQuery = (MoreLikeThisQuery) parsedQuery.getClauses()[0].getQuery();

        // all terms must match
        mltQuery.setMinimumShouldMatch("100%");
        mltQuery.setMinWordLen(0);
        mltQuery.setMinDocFreq(0);

        // one document has all values
        MemoryIndex index = new MemoryIndex();
        index.addField("name.first", "apache lucene", new WhitespaceAnalyzer());
        index.addField("name.last", "1 2 3 4", new WhitespaceAnalyzer());

        // two clauses, one for items and one for like_text if set
        BooleanQuery luceneQuery = (BooleanQuery) mltQuery.rewrite(index.createSearcher().getIndexReader());
        BooleanClause[] clauses = luceneQuery.getClauses();

        // check for items
        int minNumberShouldMatch = ((BooleanQuery) (clauses[0].getQuery())).getMinimumNumberShouldMatch();
        assertThat(minNumberShouldMatch, is(4));
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Related Classes of org.elasticsearch.common.lucene.search.MoreLikeThisQuery

  • org.apache.lucene.search.BooleanQuery
  • org.apache.lucene.search.Query
  • org.apache.lucene.search.similar.MoreLikeThis
  • org.apache.lucene.search.similarities.DefaultSimilarity
  • org.elasticsearch.common.io.FastStringReader
  • org.elasticsearch.index.query.MoreLikeThisFieldQueryParser
  • org.elasticsearch.index.query.MoreLikeThisQueryParser
  • org.elasticsearch.index.query.SimpleIndexQueryParserTests
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