在ES查询筛选器上使用match_phrase两次？没有为[match_phrase]注册筛选器

Question

我一直在尝试使用多个筛选器获取文档。

我目前使用的是ES 1.7，是否可以在一个过滤器上使用两次match_phrase？

示例: people document q=aaron&address=scarborough -根据姓名和地址搜索一个人，效果很好。

{
  "query": {
    "match_phrase": {
      "name": "aaron"
    }
  },
  "filter": {
    "bool": {
      "must": {
        "nested": {
          "path": "addresses",
          "query": {
            "match_phrase": {
              "address": "scarborough"
            }
          }
        }
      }
    }
  },

q=aaron&phone=813-689-6889 -通过姓名和电话号码搜索一个人也很好。

{
  "query": {
    "match_phrase": {
      "name": "aaron"
    }
  },
  "filter": {
    "bool": {
      "must": {
        "query": {
          "match_phrase": {
            "phone": "813-689-6889"
          }
        }
      }
    }
  }

然而，当我尝试使用地址和电话这两个过滤器时，我得到了一个No filter registered for [match_phrase]错误

例如：q=aaron&address=scarborough&phone=813-689-6889

{
  "query": {
    "match_phrase": {
      "name": "aaron"
    }
  },
  "filter": {
    "bool": {
      "must": {
        "nested": {
          "path": "addresses",
          "query": {
            "match_phrase": {
              "address": "scarborough"
            }
          }
        },
        "query": {
          "match_phrase": {
            "phone": "813-689-6889"
          }
        }
      }
    }
  }

同时使用address和phone筛选器时出现以下错误：

nested: QueryParsingException[[pl_people] No filter registered for [match_phrase]]; }]","status":400}):

请求的索引映射(person)：

{
  "pl_people": {
    "mappings": {
      "person": {
        "properties": {
          "ac_name": {
            "type": "string",
            "analyzer": "autocomplete"
          },
          "date_of_birth": {
            "type": "date",
            "format": "dateOptionalTime"
          },
          "email": {
            "type": "string"
          },
          "first_name": {
            "type": "string",
            "fields": {
              "na_first_name": {
                "type": "string",
                "index": "not_analyzed"
              }
            }
          },
          "last_name": {
            "type": "string",
            "fields": {
              "na_last_name": {
                "type": "string",
                "index": "not_analyzed"
              }
            }
          },
          "middle_name": {
            "type": "string",
            "fields": {
              "na_middle_name": {
                "type": "string",
                "index": "not_analyzed"
              }
            }
          },
          "name": {
            "type": "string",
            "fields": {
              "na_name": {
                "type": "string",
                "index": "not_analyzed"
              },
              "ngram_name": {
                "type": "string",
                "analyzer": "my_start"
              },
              "ns_name": {
                "type": "string",
                "analyzer": "no_stopwords"
              }
            }
          },
          "phone": {
            "type": "string"
          },
          "time": {
            "type": "date",
            "format": "dateOptionalTime"
          },
          "updated_at": {
            "type": "date",
            "format": "dateOptionalTime"
          }
        }
      }
    }
  }
}

Answer 1

也许你可以使用term- filter，而不是match_phrase作为过滤器。

参见here。