如何从Java中的聚合桶中获取elasticsearch聚合查询结果的值

因此，我已经能够使用elasticsearch高级restclient在Java中复制所需的elasticsearch查询。问题是我无法检索到我想要的值。在我给出代码之前，我想解决一个首要目标，以防有一个更简单的解决方案（似乎这不应该如此困难）

总体目标：对于“推荐人”字段中的每个唯一值，获取“已访问”的文档数==true

我的当前状态：我已经能够在kibana/elasticsearch中编写具有所需输出的查询，但当我在Java中复制此查询时，我无法访问所需的数据。（已通过searchRequest.source（）.toString（）验证）

以下是查询：

{
  "aggs":{
    "recommenderIDs": {
      "terms": {
        "field": "recommender"
      },
      "aggs": {
        "visit_stats": {
          "filters": {
            "filters": {
              "visited": {
                "match":{
                  "visited": true
                }
              }
            }
          }
        }
      }
    }
  }
}

这就是我的java代码中的内容：

// ...
        SearchRequest searchRequest = new SearchRequest(INDEX_REC_RECOMMENDATIONS);
        SearchSourceBuilder searchSourceBuilder = new SearchSourceBuilder();
        String aggregationName = "recommenderId";
        String filterName = "wasVisited";
        TermsAggregationBuilder aggQuery = AggregationBuilders
                .terms(aggregationName)
                .field(RecommendationRepoFieldNames.RECOMMENDER);
        AggregationBuilder aggFilters = AggregationBuilders.filters(
                filterName,
                new FiltersAggregator.KeyedFilter(
                        RecommendationRepoFieldNames.RECOMMENDER,
                        QueryBuilders.termQuery(RecommendationRepoFieldNames.VISITED, true))
        );
        aggQuery.subAggregation(aggFilters);
        searchSourceBuilder.aggregation(aggQuery);
        searchRequest.source(searchSourceBuilder);
//        System.out.println(searchRequest.source().toString());
        try {
            SearchResponse searchResponse = client.search(searchRequest, RequestOptions.DEFAULT);
            Aggregations aggregations = searchResponse.getAggregations();
            Terms byRecommenderId = aggregations.get(aggregationName);
            Filters filterResponses = searchResponse.getAggregations().get(aggregationName);
//            for (Filters.Bucket entry : filterResponses.getBuckets()) {
//                String key = entry.getKeyAsString();
//            }
            for (Terms.Bucket bucket : byRecommenderId.getBuckets()) {
                String bucketKey = bucket.getKeyAsString();
                long totalDocs = bucket.getDocCount();
                Aggregation visitedDocs = bucket.getAggregations().get(filterName);
                //long visitedDocsCount = visitedDocs.getValue();
                System.out.println();
            }
        } catch (IOException e) { //...

我整天都在摆弄这个，没有任何进展。尤其令人沮丧的是，当我在IDE中调试时，我可以看到每个推荐程序bucket的文档计数，但我不知道如何访问它。我意识到大约有180个类扩展了聚合，我尝试了一些，但每次都失败了

此外，如果您知道elasticsearch java高级rest客户端的任何合适资源，请告诉我。谢谢大家!

---------编辑5/4/21-------------

elasticsearch的输出示例：

// searchResponse (documents returned have been truncated to show only part we are interested in)

  "aggregations": {
    "sterms#recommenderId": {
      "doc_count_error_upper_bound": 0,
      "sum_other_doc_count": 0,
      "buckets": [
        {
          "key": "AdjacentActivityRecommender",
          "doc_count": 3,
          "filters#wasVisited": {
            "buckets": {
              "recommender": {
                "doc_count": 2
              }
            }
          }
        },
        {
          "key": "DefaultProfileDBRecommender",
          "doc_count": 2,
          "filters#wasVisited": {
            "buckets": {
              "recommender": {
                "doc_count": 2
              }
            }
          }
        },
        {
          "key": "PSTR_SC_DI",
          "doc_count": 2,
          "filters#wasVisited": {
            "buckets": {
              "recommender": {
                "doc_count": 1
              }
            }
          }
        },
        {
          "key": "SignificantCategories",
          "doc_count": 2,
          "filters#wasVisited": {
            "buckets": {
              "recommender": {
                "doc_count": 2
              }
            }
          }
        }
      ]
    }
  }

---

然后将searchResponse.getAggregations（）保存到聚合。最终，我们能够循环每个recommenderID的bucket，但我永远无法进入每个bucket中的聚合，这正是我需要做的。

下面发布的解决方案代码：

    try {
        SearchResponse searchResponse = client.search(searchRequest, RequestOptions.DEFAULT);
        Aggregations aggregations = searchResponse.getAggregations();
        Terms byRecommenderId = aggregations.get(aggregationName);
        for (Terms.Bucket bucket : byRecommenderId.getBuckets()) {
            String recommenderId = bucket.getKeyAsString();
            double totalDocs = bucket.getDocCount();
            // next two lines are the solution:
            Aggregations subAggregations = bucket.getAggregations();
            Filters byWasVisited = subAggregations.get(filterName);
            // always only one item from getBuckets()
            double totalVisited = byWasVisited.getBuckets().get(0).getDocCount();
            double percentVisited = totalVisited / totalDocs;
            recommenderViews.put(recommenderId, percentVisited);
        } 
        // ...

---

问题是我需要提取下一个内部级别的聚合（子聚合），这是通过再次调用getAggregations（）完成的，这次是在循环内部。此时，我们只需从子集合中调用get（filterName）。

您能否发布一个elasticsearch如何给出结果的示例？添加了示例elastic response。每个bucket的doc计数都是0，这在这个结果集中是实际需要的。根据我的经验，我会尝试将您的聚合结果转换为“MultiBucketsAggregation”。例如：（（MultiBucketsAggregation）aggregations.get（“sterms#recommenderId”））。然后可以使用getBucket方法循环遍历每个bucket。在每个bucket中，您应该能够调用getAggregations（），这将为您提供所需的数据。这是我最好的猜测。谢谢你@VitorSantos！事实上，我几天前就发现了这一点，而且它确实起了作用。解决方案一直就在我的眼皮底下（啊！！）。我需要我的工作机器，我将于周一在这里为子孙后代发布解决方案。