聚合(一个字段中有多个值)elasticsearch

聚合(一个字段中有多个值)elasticsearch,
Warning: implode(): Invalid arguments passed in /data/phpspider/zhask/webroot/tpl/detail.html on line 45
,,我在一个字段中有许多值,当我进行聚合时,我将这些值作为单独的值接收 示例: name : jess , Region : new york name : jess , Region : poland query = { "size": total, "aggs": { "buckets_for_name": { "terms": {

我在一个字段中有许多值,当我进行聚合时,我将这些值作为单独的值接收

示例:

name : jess , Region : new york 
name : jess , Region : poland
  query = {
        "size": total,
        "aggs": {
        "buckets_for_name": {
            "terms": {
                 "field": "name",
                 "size": total
             },
            "aggs": {
                "region_terms": {
                    "terms": {
                        "field": "region",
                        "size": total
                    }
                }
            }
        }
        }
    }
{'name': 'jess ', 'region ': ['new york', 'poland']}
请求:

name : jess , Region : new york 
name : jess , Region : poland
  query = {
        "size": total,
        "aggs": {
        "buckets_for_name": {
            "terms": {
                 "field": "name",
                 "size": total
             },
            "aggs": {
                "region_terms": {
                    "terms": {
                        "field": "region",
                        "size": total
                    }
                }
            }
        }
        }
    }
{'name': 'jess ', 'region ': ['new york', 'poland']}
使用
响应[“聚合”][“buckets\u for_name”][“buckets”]
我得到

 {'key': 'jess ', 'doc_count': 61, 'region_terms': {'doc_count_error_upper_bound': 0, 'sum_other_doc_count': 0, 'buckets': [{'key': 'oran', 'doc_count': 60}, {'key': 'new ', 'doc_count': 1}, {'key': 'york', 'doc_count': 1}]}}, {'key': 'jess ', 'doc_count': 50, 'egion_terms': {'doc_count_error_upper_bound': 0, 'sum_other_doc_count': 0, 'buckets': [{'key': 'poland', 'doc_count': 50}]}}
{'name': 'jess ', 'region ': ['new' , 'york', 'poland']}

pretty_results = []
for result in response["aggregations"]["buckets_for_name"]["buckets"]:
    d = dict()
    d["name"] = result["key"]
    d["region"] = []
    for region in result["region_terms"]["buckets"]:
        d["region "].append(region ["key"])
        pretty_results.append(d)
        print(d)
我得到了

 {'key': 'jess ', 'doc_count': 61, 'region_terms': {'doc_count_error_upper_bound': 0, 'sum_other_doc_count': 0, 'buckets': [{'key': 'oran', 'doc_count': 60}, {'key': 'new ', 'doc_count': 1}, {'key': 'york', 'doc_count': 1}]}}, {'key': 'jess ', 'doc_count': 50, 'egion_terms': {'doc_count_error_upper_bound': 0, 'sum_other_doc_count': 0, 'buckets': [{'key': 'poland', 'doc_count': 50}]}}
{'name': 'jess ', 'region ': ['new' , 'york', 'poland']}
我想得到这个结果:

name : jess , Region : new york 
name : jess , Region : poland
  query = {
        "size": total,
        "aggs": {
        "buckets_for_name": {
            "terms": {
                 "field": "name",
                 "size": total
             },
            "aggs": {
                "region_terms": {
                    "terms": {
                        "field": "region",
                        "size": total
                    }
                }
            }
        }
        }
    }
{'name': 'jess ', 'region ': ['new york', 'poland']}
区域
(我认为
名称
)字段是使用标准分析器进行分析的,标准分析器将
纽约
划分为标记[
纽约
纽约
]

您可能需要设置
关键字
映射,将字符串视为独立的标记:

PUT regions
{
  "mappings": {
    "properties": {
      "name": {
        "type": "text",
        "fielddata": true,
        "fields": {
          "keyword": {
            "type": "keyword"
          }
        }
      },
      "region": {
        "type": "text",
        "fielddata": true,
        "fields": {
          "keyword": {
            "type": "keyword"
          }
        }
      }
    }
  }
}
之后,在
.keyword
字段上执行aggs:

{
  "size": 200,
  "aggs": {
    "buckets_for_name": {
      "terms": {
        "field": "name.keyword",         <---
        "size": 200
      },
      "aggs": {
        "region_terms": {
          "terms": {
            "field": "region.keyword",   <---
            "size": 200
          }
        }
      }
    }
  }
}
对此

{
  "query": {
     // possibly leave the whole query attribute out
   },
   "aggs": {
      "buckets_for_name": {
   ...

结果我得到了一个
[]
!我使用
PUT mytable/_映射{“properties”:{“name”:{“type”:“text”,“fielddata”:true,“fields”:{“keyword”:{“type”:“keyword”}}},“region”:{“type”:“text”,“fielddata”:true,“fields”:{“keyword”:{“type”:“keyword”}}}}}
什么是
获取mytable/\u search
返回的?你能把它粘贴到这里吗?
{“take”:53,“timed\u out”:false,“\u shards”:{“total”:1,“successful”:1,“skiped”:0,“failed”:0},“hits:{“total”:{“value”:2395,“relation”:“eq”},“最高分数”:1,“点击次数”:[{“\U索引”:“mytable”、“\U类型”:“mytable”、“\U id”:“7769”、“\U分数”:1、“\U来源”:{“id\U mytable”:7769,“日期”:“2020-07-21”“地区”:“波兰”、“名称”:“AdminDB”“,},
如果仔细观察,
区域
字段名有一个前导空格:“region”。解决这个问题,它就会工作!