如果我理解您的问题是对的，那么您希望您的字词汇总与搜索查询无关。

您可以使用global aggregation。

在搜索中定义所有文档的单个存储桶 执行上下文。此上下文由索引和 您正在搜索的文档类型，但不受文档类型的影响 搜索查询本身

示例

映射：

{
  "index50" : {
    "mappings" : {
      "properties" : {
        "name" : {
          "type" : "text","fields" : {
            "keyword" : {
              "type" : "keyword","ignore_above" : 256
            }
          }
        }
      }
    }
  }

数据：

 "hits" : [
      {
        "_index" : "index50","_type" : "_doc","_id" : "v8MR3XABAqtoal9HOsoo","_score" : 1.0,"_source" : {
          "name" : "john"
        }
      },{
        "_index" : "index50","_id" : "wMMR3XABAqtoal9HU8rs","_source" : {
          "name" : "doe"
        }
      }
    ]

查询：

{
  "query": {
    "match": {
      "name": "john"
    }
  },"aggs": {
    "name_global_faucet": {
      "global": {},--> will return terms from all documents
      "aggs": {
        "first_name": {
          "terms": {
            "field": "name.keyword","size": 10
          }
        }
      }
    },"name_faucet": {
      "terms": {--> will return terms from documents returned in query
        "field": "name.keyword","size": 10
      }
    }
  }
}

结果：

  "hits" : {
    "total" : {
      "value" : 1,"relation" : "eq"
    },"max_score" : 0.6931472,"hits" : [
      {
        "_index" : "index50","_score" : 0.6931472,"_source" : {
          "name" : "john"
        }
      }
    ]
  },"aggregations" : {
    "name_faucet" : {
      "doc_count_error_upper_bound" : 0,"sum_other_doc_count" : 0,"buckets" : [
        {
          "key" : "john","doc_count" : 1
        }
      ]
    },"name_global_faucet" : {
      "doc_count" : 2,"first_name" : {
        "doc_count_error_upper_bound" : 0,"buckets" : [
          {
            "key" : "doe","doc_count" : 1
          },{
            "key" : "john","doc_count" : 1
          }
        ]
      }
    }
  }
}