Examples with TermSuggestion org.graylog.shaded.elasticsearch7.org.elasticsearch.search.suggest.term.TermSuggestion used on opensource projects

Example 1 with TermSuggestion

use of org.graylog.shaded.elasticsearch7.org.elasticsearch.search.suggest.term.TermSuggestion in project elasticsearch by elastic.

the class SuggestTests method testFilter.

public void testFilter() throws Exception {
    List<Suggest.Suggestion<? extends Suggest.Suggestion.Entry<? extends Suggest.Suggestion.Entry.Option>>> suggestions;
    CompletionSuggestion completionSuggestion = new CompletionSuggestion(randomAsciiOfLength(10), 2);
    PhraseSuggestion phraseSuggestion = new PhraseSuggestion(randomAsciiOfLength(10), 2);
    TermSuggestion termSuggestion = new TermSuggestion(randomAsciiOfLength(10), 2, SortBy.SCORE);
    suggestions = Arrays.asList(completionSuggestion, phraseSuggestion, termSuggestion);
    Suggest suggest = new Suggest(suggestions);
    List<PhraseSuggestion> phraseSuggestions = suggest.filter(PhraseSuggestion.class);
    assertThat(phraseSuggestions.size(), equalTo(1));
    assertThat(phraseSuggestions.get(0), equalTo(phraseSuggestion));
    List<TermSuggestion> termSuggestions = suggest.filter(TermSuggestion.class);
    assertThat(termSuggestions.size(), equalTo(1));
    assertThat(termSuggestions.get(0), equalTo(termSuggestion));
    List<CompletionSuggestion> completionSuggestions = suggest.filter(CompletionSuggestion.class);
    assertThat(completionSuggestions.size(), equalTo(1));
    assertThat(completionSuggestions.get(0), equalTo(completionSuggestion));
}

Example 2 with TermSuggestion

use of org.graylog.shaded.elasticsearch7.org.elasticsearch.search.suggest.term.TermSuggestion in project pancm_project by xuwujing.

the class EsHighLevelRestSearchTest method search.

/**
 * search查询使用示例
 *
 * @throws IOException
 */
private static void search() throws IOException {
    /*
         * 全文查询使用示例
         */
    // 查询指定的索引库
    SearchRequest searchRequest = new SearchRequest("user");
    SearchSourceBuilder sourceBuilder = new SearchSourceBuilder();
    // 搜索字段user为pancm的数据
    MatchQueryBuilder matchQueryBuilder = new MatchQueryBuilder("user", "pancm");
    // 设置模糊查询
    matchQueryBuilder.fuzziness(Fuzziness.AUTO);
    // 设置前缀长度
    matchQueryBuilder.prefixLength(3);
    // 设置最大扩展选项来控制查询的模糊过程
    matchQueryBuilder.maxExpansions(10);
    /*
         * QueryBuilder也可以
         */
    // QueryBuilder matchQueryBuilder = QueryBuilders.matchQuery("user", "kimchy")
    // .fuzziness(Fuzziness.AUTO)
    // .prefixLength(3)
    // .maxExpansions(10);
    SearchSourceBuilder searchSourceBuilder2 = new SearchSourceBuilder();
    searchSourceBuilder2.query(matchQueryBuilder);
    SearchRequest searchRequest2 = new SearchRequest();
    searchRequest2.source(searchSourceBuilder2);
    // 同步查询
    SearchResponse searchResponse2 = client.search(searchRequest, RequestOptions.DEFAULT);
    SearchHits hits = searchResponse2.getHits();
    // 总条数和分值
    long totalHits = hits.getTotalHits();
    float maxScore = hits.getMaxScore();
    hits.forEach(hit -> {
        String index = hit.getIndex();
        String type = hit.getType();
        String id = hit.getId();
        float score = hit.getScore();
        Map<String, Object> sourceAsMap = hit.getSourceAsMap();
        String string = hit.getSourceAsString();
        System.out.println("Match查询的Map结果:" + sourceAsMap);
        System.out.println("Match查询的String结果:" + string);
        String documentTitle = (String) sourceAsMap.get("title");
        // List<Object> users = (List<Object>) sourceAsMap.get("user");
        Map<String, Object> innerObject = (Map<String, Object>) sourceAsMap.get("innerObject");
    });
    System.out.println("\n=================\n");
    /*
         * 高亮查询
         */
    SearchSourceBuilder searchSourceBuilder3 = new SearchSourceBuilder();
    HighlightBuilder highlightBuilder = new HighlightBuilder();
    HighlightBuilder.Field highlightTitle = new HighlightBuilder.Field("title");
    // 设置字段高亮字体
    highlightTitle.highlighterType("user");
    highlightBuilder.field(highlightTitle);
    HighlightBuilder.Field highlightUser = new HighlightBuilder.Field("user");
    highlightBuilder.field(highlightUser);
    searchSourceBuilder3.highlighter(highlightBuilder);
    SearchRequest searchRequest3 = new SearchRequest();
    searchRequest3.source(searchSourceBuilder3);
    // 同步查询
    SearchResponse searchResponse3 = client.search(searchRequest3, RequestOptions.DEFAULT);
    searchResponse3.getHits().forEach(hit -> {
        Map<String, Object> map = hit.getSourceAsMap();
        String string = hit.getSourceAsString();
        System.out.println("Highlight查询的Map结果:" + map);
        System.out.println("Highlight查询的String结果:" + string);
    });
    System.out.println("\n=================\n");
    /**
     * 聚合查询
     */
    SearchSourceBuilder searchSourceBuilder4 = new SearchSourceBuilder();
    // terms 就是分组统计 根据user进行分组并创建一个新的聚合user_
    TermsAggregationBuilder aggregation = AggregationBuilders.terms("user_").field("user");
    aggregation.subAggregation(AggregationBuilders.avg("average_age").field("age"));
    searchSourceBuilder4.aggregation(aggregation);
    SearchRequest searchRequest4 = new SearchRequest();
    searchRequest4.source(searchSourceBuilder4);
    // 同步查询
    SearchResponse searchResponse4 = client.search(searchRequest4, RequestOptions.DEFAULT);
    // 聚合查询返回条件
    Aggregations aggregations = searchResponse4.getAggregations();
    System.out.println("聚合查询");
    for (Aggregation agg : aggregations) {
        String type = agg.getType();
        String name = agg.getName();
        Terms terms = (Terms) aggregations.get(name);
        for (Terms.Bucket bucket : terms.getBuckets()) {
            System.out.println("条数:" + bucket.getDocCount());
            System.out.println("key:" + bucket.getKey());
            System.out.println("num:" + bucket.getKeyAsNumber());
            Avg avg = bucket.getAggregations().get("average_age");
            System.out.println("value:" + avg.getValue());
        }
        if (type.equals(TermsAggregationBuilder.NAME)) {
            Bucket elasticBucket = ((Terms) agg).getBucketByKey("average_age");
            long numberOfDocs = elasticBucket.getDocCount();
            System.out.println("条数:" + numberOfDocs);
        }
    }
    /*
         * 建议查询
         */
    SearchSourceBuilder searchSourceBuilder5 = new SearchSourceBuilder();
    SuggestionBuilder termSuggestionBuilder = SuggestBuilders.termSuggestion("user").text("pancm");
    SuggestBuilder suggestBuilder = new SuggestBuilder();
    suggestBuilder.addSuggestion("suggest_user", termSuggestionBuilder);
    searchSourceBuilder5.suggest(suggestBuilder);
    SearchRequest searchRequest5 = new SearchRequest();
    searchRequest5.source(searchSourceBuilder5);
    // 同步查询
    SearchResponse searchResponse5 = client.search(searchRequest5, RequestOptions.DEFAULT);
    Suggest suggest = searchResponse5.getSuggest();
    TermSuggestion termSuggestion = suggest.getSuggestion("suggest_user");
    for (TermSuggestion.Entry entry : termSuggestion.getEntries()) {
        for (TermSuggestion.Entry.Option option : entry) {
            String suggestText = option.getText().string();
            System.out.println("返回结果:" + suggestText);
        }
    }
}

Example 3 with TermSuggestion

use of org.graylog.shaded.elasticsearch7.org.elasticsearch.search.suggest.term.TermSuggestion in project graylog2-server by Graylog2.

the class QuerySuggestionsES7 method suggest.

@Override
public SuggestionResponse suggest(SuggestionRequest req) {
    final Set<String> affectedIndices = indexLookup.indexNamesForStreamsInTimeRange(req.streams(), req.timerange());
    final TermSuggestionBuilder suggestionBuilder = SuggestBuilders.termSuggestion(req.field()).text(req.input()).size(req.size());
    final SearchSourceBuilder search = new SearchSourceBuilder().query(QueryBuilders.prefixQuery(req.field(), req.input())).size(0).aggregation(AggregationBuilders.terms("fieldvalues").field(req.field()).size(req.size())).suggest(new SuggestBuilder().addSuggestion("corrections", suggestionBuilder));
    try {
        final SearchResponse result = client.singleSearch(new SearchRequest(affectedIndices.toArray(new String[] {})).source(search), "Failed to execute aggregation");
        final ParsedStringTerms fieldValues = result.getAggregations().get("fieldvalues");
        final List<SuggestionEntry> entries = fieldValues.getBuckets().stream().map(b -> new SuggestionEntry(b.getKeyAsString(), b.getDocCount())).collect(Collectors.toList());
        if (!entries.isEmpty()) {
            return SuggestionResponse.forSuggestions(req.field(), req.input(), entries, fieldValues.getSumOfOtherDocCounts());
        } else {
            TermSuggestion suggestion = result.getSuggest().getSuggestion("corrections");
            final List<SuggestionEntry> corrections = suggestion.getEntries().stream().flatMap(e -> e.getOptions().stream()).map(o -> new SuggestionEntry(o.getText().string(), o.getFreq())).collect(Collectors.toList());
            return SuggestionResponse.forSuggestions(req.field(), req.input(), corrections, null);
        }
    } catch (org.graylog.shaded.elasticsearch7.org.elasticsearch.ElasticsearchException exception) {
        final SuggestionError err = tryResponseException(exception).orElseGet(() -> parseException(exception));
        return SuggestionResponse.forError(req.field(), req.input(), err);
    }
}

Example 4 with TermSuggestion

use of org.graylog.shaded.elasticsearch7.org.elasticsearch.search.suggest.term.TermSuggestion in project elasticsearch by elastic.

the class SuggestionTests method createTestItem.

@SuppressWarnings({ "unchecked", "rawtypes" })
public static Suggestion<? extends Entry<? extends Option>> createTestItem(Class<? extends Suggestion> type) {
    String name = randomAsciiOfLengthBetween(5, 10);
    // note: size will not be rendered via "toXContent", only passed on internally on transport layer
    int size = randomInt();
    Supplier<Entry> entrySupplier = null;
    Suggestion suggestion = null;
    if (type == TermSuggestion.class) {
        suggestion = new TermSuggestion(name, size, randomFrom(SortBy.values()));
        entrySupplier = () -> SuggestionEntryTests.createTestItem(TermSuggestion.Entry.class);
    } else if (type == PhraseSuggestion.class) {
        suggestion = new PhraseSuggestion(name, size);
        entrySupplier = () -> SuggestionEntryTests.createTestItem(PhraseSuggestion.Entry.class);
    } else if (type == CompletionSuggestion.class) {
        suggestion = new CompletionSuggestion(name, size);
        entrySupplier = () -> SuggestionEntryTests.createTestItem(CompletionSuggestion.Entry.class);
    } else {
        throw new UnsupportedOperationException("type not supported [" + type + "]");
    }
    int numEntries;
    if (frequently()) {
        if (type == CompletionSuggestion.class) {
            // CompletionSuggestion can have max. one entry
            numEntries = 1;
        } else {
            numEntries = randomIntBetween(1, 5);
        }
    } else {
        // also occasionally test zero entries
        numEntries = 0;
    }
    for (int i = 0; i < numEntries; i++) {
        suggestion.addTerm(entrySupplier.get());
    }
    return suggestion;
}

Example 5 with TermSuggestion

use of org.graylog.shaded.elasticsearch7.org.elasticsearch.search.suggest.term.TermSuggestion in project elasticsearch by elastic.

the class Suggest method readFrom.

@Override
public void readFrom(StreamInput in) throws IOException {
    final int size = in.readVInt();
    suggestions = new ArrayList<>(size);
    for (int i = 0; i < size; i++) {
        // TODO: remove these complicated generics
        Suggestion<? extends Entry<? extends Option>> suggestion;
        final int type = in.readVInt();
        switch(type) {
            case TermSuggestion.TYPE:
                suggestion = new TermSuggestion();
                break;
            case CompletionSuggestion.TYPE:
                suggestion = new CompletionSuggestion();
                break;
            case // CompletionSuggestion.TYPE
            2:
                throw new IllegalArgumentException("Completion suggester 2.x is not supported anymore");
            case PhraseSuggestion.TYPE:
                suggestion = new PhraseSuggestion();
                break;
            default:
                suggestion = new Suggestion();
                break;
        }
        suggestion.readFrom(in);
        suggestions.add(suggestion);
    }
    hasScoreDocs = filter(CompletionSuggestion.class).stream().anyMatch(CompletionSuggestion::hasScoreDocs);
}