Elasticsearch 6.1 TransportClientマルチ条件再ソート検索クエリーを実現するFilterFunctionBuilderとFunctionScoreQueryBuilder

検索条件:Indexが10000の下でタイトルを探して“IPhone”を含んで、優先的に“ブランドの携帯電話”のこの分類を取って、販売量が高ければ高いほど前に、結果はランダムにユーザーに展示します:JAVAコードは断片を実現します:

		String searchContent = "IPhone";
        TransportClient client = esClient.getTransportClient();
        String index = "10000";
        SearchRequestBuilder searchBuilder = client.prepareSearch(index);
        //  
        searchBuilder.setFrom(0).setSize(10);
        //explain true           ，             
        searchBuilder.setExplain(true);

        BoolQueryBuilder queryBuilder = QueryBuilders.boolQuery();
        //    title    IPhone   
        queryBuilder.must(QueryBuilders.matchQuery("title", searchContent));

        FunctionScoreQueryBuilder.FilterFunctionBuilder[] filterFunctionBuilders = new FunctionScoreQueryBuilder.FilterFunctionBuilder[3];

        //    1：   ：        --     Weight
        ScoreFunctionBuilder scoreFunctionBuilder = new WeightBuilder();
        scoreFunctionBuilder.setWeight(2);
        QueryBuilder termQuery = QueryBuilders.termQuery("categoryName", "    ");
        FunctionScoreQueryBuilder.FilterFunctionBuilder category = new FunctionScoreQueryBuilder.FilterFunctionBuilder(termQuery, scoreFunctionBuilder);
        filterFunctionBuilders[0] = category;

        //     2：        --     FieldValueFactor
        ScoreFunctionBuilder fieldValueScoreFunction = new FieldValueFactorFunctionBuilder("salesVolume");
        ((FieldValueFactorFunctionBuilder) fieldValueScoreFunction).factor(1.2f);
        FunctionScoreQueryBuilder.FilterFunctionBuilder sales = new FunctionScoreQueryBuilder.FilterFunctionBuilder(fieldValueScoreFunction);
        filterFunctionBuilders[1] = sales;

        //           ：  --random_score
        ScoreFunctionBuilder randomScoreFilter = new RandomScoreFunctionBuilder();
        ((RandomScoreFunctionBuilder) randomScoreFilter).seed(2);
        FunctionScoreQueryBuilder.FilterFunctionBuilder random = new FunctionScoreQueryBuilder.FilterFunctionBuilder(randomScoreFilter);
        filterFunctionBuilders[2] = random;

        //       FunctionScore
        FunctionScoreQueryBuilder query = QueryBuilders.functionScoreQuery(queryBuilder, filterFunctionBuilders)
                .scoreMode(FunctionScoreQuery.ScoreMode.SUM).boostMode(CombineFunction.SUM);
        searchBuilder.setQuery(query);

        SearchResponse response = searchBuilder.execute().actionGet();
        SearchHits hits = response.getHits();
        String searchSource;
        for (SearchHit hit : hits)
        {
            searchSource = hit.getSourceAsString();
            System.out.println(searchSource);
        }
        //        long took = response.getTook().getMillis();
        long total = hits.getTotalHits();
        System.out.println(total);

デモコードアドレス:GitHub