针对上面表的数据，现在想根据age分组，并获取每个分组后的name有哪些(去重后)。

select age, GROUP_CONCAT(DISTINCT(name)) from testtable group by age ;

结果： 

如果想要增加排序：

SELECT 
    age, 
    GROUP_CONCAT(DISTINCT name) AS names,
    COUNT(DISTINCT name) AS name_count
FROM 
    testtable 
GROUP BY 
    age
ORDER BY 
    name_count DESC;

结果：

使用ES实现类似上面的SQL效果：

SearchRequest searchRequest = new SearchRequest("indexName");
        SearchSourceBuilder searchSourceBuilder = new SearchSourceBuilder().size(0);
        BoolQueryBuilder boolQueryBuilder = new BoolQueryBuilder();
       
        //时间范围
         RangeQueryBuilder pubtimeBuilder = QueryBuilders.rangeQuery("pubtime").gte(stime).lte(etime);
            boolQueryBuilder.must(pubtimeBuilder);
     
        searchSourceBuilder.query(boolQueryBuilder);

        // 添加 cardinality 聚合 
           AggregationBuilder  cardinalityAggregationBuilder = AggregationBuilders
                    .cardinality("unique_organ_id")
                    .field("organ_id");

              // 添加 terms 聚合以获取去重后的具体数据
           AggregationBuilder  termsAggregationBuilder = AggregationBuilders
                    .terms("distinct_ids")
                    .field("organ_id")
                    .size(10000);//根据实际的确定

        searchSourceBuilder.aggregation(cardinalityAggregationBuilder);
        searchSourceBuilder.aggregation(termsAggregationBuilder);
        searchRequest.source(searchSourceBuilder);

        try {
            SearchResponse searchResponse = elasticsearchClient.search(searchRequest, RequestOptions.DEFAULT);
            ParsedCardinality uniqueMcnOrganIdAgg = searchResponse.getAggregations().get("unique_organ_id");
            total = uniqueMcnOrganIdAgg.getValue();
            if(total > 0){
                Terms terms = searchResponse.getAggregations().get("distinct_ids");
                for (Terms.Bucket bucket : terms.getBuckets()) {
                    String mcnOrganId = bucket.getKeyAsString();
                    ids.add(mcnOrganId);
                }
            }
        } catch (Exception e) {
            e.printStackTrace();
        }
        Result result = new Result();
        result.setIds(ids);
        result.setTotal(total);
        return result;