Examples of TermVectorResponse

Examples of org.elasticsearch.action.termvector.TermVectorResponse

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        client().prepareIndex(indexOrAlias(), "type1", "1")
                .setSource("field", "the quick brown fox jumps over the lazy dog").get();
        refresh();

        TermVectorResponse termVectorResponse = client().prepareTermVector(indexOrAlias(), "type1", "1").get();
        assertThat(termVectorResponse.getIndex(), equalTo("test"));
        assertThat(termVectorResponse.isExists(), equalTo(true));
        Fields fields = termVectorResponse.getFields();
        assertThat(fields.size(), equalTo(1));
        assertThat(fields.terms("field").size(), equalTo(8l));
    }
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Examples of org.elasticsearch.action.termvector.TermVectorResponse

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        MultiTermVectorsResponse responses = client.multiTermVectors(request).actionGet();
        for (MultiTermVectorsItemResponse response : responses) {
            if (response.isFailed()) {
                continue;
            }
            TermVectorResponse getResponse = response.getResponse();
            if (!getResponse.isExists()) {
                continue;
            }
            likeFields.add(getResponse.getFields());
        }
        return likeFields.toArray(Fields.EMPTY_ARRAY);
    }
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Examples of org.elasticsearch.action.termvector.TermVectorResponse

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    }

    public TermVectorResponse getTermVector(TermVectorRequest request, String concreteIndex) {
        final Engine.Searcher searcher = indexShard.acquireSearcher("term_vector");
        IndexReader topLevelReader = searcher.reader();
        final TermVectorResponse termVectorResponse = new TermVectorResponse(concreteIndex, request.type(), request.id());

        final Term uidTerm = new Term(UidFieldMapper.NAME, Uid.createUidAsBytes(request.type(), request.id()));
        Engine.GetResult get = indexShard.get(new Engine.Get(request.realtime(), uidTerm));
        boolean docFromTranslog = get.source() != null;
        AggregatedDfs dfs = null;

        /* fetched from translog is treated as an artificial document */
        if (docFromTranslog) {
            request.doc(get.source().source, false);
            termVectorResponse.setDocVersion(get.version());
        }

        /* handle potential wildcards in fields */
        if (request.selectedFields() != null) {
            handleFieldWildcards(request);
        }

        try {
            Fields topLevelFields = MultiFields.getFields(topLevelReader);
            Versions.DocIdAndVersion docIdAndVersion = get.docIdAndVersion();
            /* from an artificial document */
            if (request.doc() != null) {
                Fields termVectorsByField = generateTermVectorsFromDoc(request, !docFromTranslog);
                // if no document indexed in shard, take the queried document itself for stats
                if (topLevelFields == null) {
                    topLevelFields = termVectorsByField;
                }
                if (useDfs(request)) {
                    dfs = getAggregatedDfs(termVectorsByField, request);
                }
                termVectorResponse.setFields(termVectorsByField, request.selectedFields(), request.getFlags(), topLevelFields, dfs);
                termVectorResponse.setExists(true);
                termVectorResponse.setArtificial(!docFromTranslog);
            }
            /* or from an existing document */
            else if (docIdAndVersion != null) {
                // fields with stored term vectors
                Fields termVectorsByField = docIdAndVersion.context.reader().getTermVectors(docIdAndVersion.docId);
                Set<String> selectedFields = request.selectedFields();
                // generate tvs for fields where analyzer is overridden
                if (selectedFields == null && request.perFieldAnalyzer() != null) {
                    selectedFields = getFieldsToGenerate(request.perFieldAnalyzer(), termVectorsByField);
                }
                // fields without term vectors
                if (selectedFields != null) {
                    termVectorsByField = addGeneratedTermVectors(get, termVectorsByField, request, selectedFields);
                }
                if (useDfs(request)) {
                    dfs = getAggregatedDfs(termVectorsByField, request);
                }
                termVectorResponse.setFields(termVectorsByField, request.selectedFields(), request.getFlags(), topLevelFields, dfs);
                termVectorResponse.setDocVersion(docIdAndVersion.version);
                termVectorResponse.setExists(true);
            } else {
                termVectorResponse.setExists(false);
            }
        } catch (Throwable ex) {
            throw new ElasticsearchException("failed to execute term vector request", ex);
        } finally {
            searcher.close();
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