我正在尝试计算具有唯一嵌套字段值的文档（以及文档本身）。看起来获得唯一文档有效。但是，当我尝试执行的请求时count，出现如下错误：

禁止：org.elasticsearch.client.ResponseException：方法[POST]，主机 [http：//
localhost：9200]，URI [/ package /
_count？ignore_throttled = true＆ignore_unavailable = false＆expand_wildcards =
open＆allow_no_indices = true]，状态行[HTTP / 1.1 400错误的请求] {“错误”：{“
root_cause”：[{“ type”：“ parsing_exception”，“原因”：“请求不支持[collapse]”，“
line”：1，“ col”：216} ]，“ type”：“ parsing_exception”，“
reason”：“请求不支持[collapse]”，“ line”：1，“ col”：216}，“ status”：400}

代码：

        BoolQueryBuilder innerTemplNestedBuilder = QueryBuilders.boolQuery();
        NestedQueryBuilder templatesNestedQuery = QueryBuilders.nestedQuery("attachment", innerTemplNestedBuilder, ScoreMode.None);
        BoolQueryBuilder mainQueryBuilder = QueryBuilders.boolQuery().must(templatesNestedQuery);
        if (!isEmpty(templateName)) {
            innerTemplNestedBuilder.filter(QueryBuilders.termQuery("attachment.name", templateName));
        }
        SearchSourceBuilder searchSourceBuilder = SearchSourceBuilder.searchSource()
                    .collapse(new CollapseBuilder("attachment.uuid"))
                    .query(mainQueryBuilder);
    // NEXT LINE CAUSE ERROR
        long count = client.count(new CountRequest("package").source(searchSourceBuilder), RequestOptions.DEFAULT).getCount(); <<<<<<<<<< ERROR HERE
        // THIS WORKS 
        SearchResponse searchResponse = client.search(
                    new SearchRequest(
                            new String[] {"package"},
                            searchSourceBuilder.timeout(new TimeValue(20, TimeUnit.SECONDS)).from(offset).size(limit)
                    ).indices("package").searchType(SearchType.DFS_QUERY_THEN_FETCH),
                    RequestOptions.DEFAULT
        );
        return ....;

该方法的总体意图是获取一部分文档以及所有此类文档的数量。可能已经有另一种方法可以满足这种需求。如果我尝试count使用aggregations和cardinality-我得到的结果为零，并且看起来不适用于嵌套字段。

计数要求：

{
    "query": {
        "bool": {
            "must": [
                {
                    "nested": {
                        "query": {
                            "bool": {
                                "adjust_pure_negative": true,
                                "boost": 1.0
                            }
                        },
                        "path": "attachment",
                        "ignore_unmapped": false,
                        "score_mode": "none",
                        "boost": 1.0
                    }
                }
            ],
            "adjust_pure_negative": true,
            "boost": 1.0
        }
    },
    "collapse": {
        "field": "attachment.uuid"
    }
}

如何创建映射：

curl -X DELETE "localhost:9200/package?pretty"
curl -X PUT    "localhost:9200/package?include_type_name=true&pretty" -H 'Content-Type: application/json' -d '{
    "settings" :  {
        "number_of_shards" : 1,
        "number_of_replicas" : 1
    }}'
curl -X PUT    "localhost:9200/package/_mappings?pretty" -H 'Content-Type: application/json' -d'
{
      "dynamic": false,
      "properties" : {
        "attachment": {
            "type": "nested",
            "properties": {
                "uuid" : { "type" : "keyword" },
                "name" : { "type" : "text" }
            }
        },
        "uuid" : {
          "type" : "keyword"
        }
      }
}
'

代码生成的结果查询应如下所示：

curl -X POST "localhost:9200/package/_count?&pretty" -H 'Content-Type: application/json' -d' { "query" :
    {
        "bool": {
            "must": [
                {
                    "nested": {
                        "query": {
                            "bool": {
                                "adjust_pure_negative": true,
                                "boost": 1.0
                            }
                        },
                        "path": "attachment",
                        "ignore_unmapped": false,
                        "score_mode": "none",
                        "boost": 1.0
                    }
                }
            ],
            "adjust_pure_negative": true,
            "boost": 1.0
        }
    },
    "collapse": {
        "field": "attachment.uuid"
    }
}'