java - 在ElasticSearch中喜欢

我有一个关于Spring数据elasticSearch的项目。
模型:

@Document(indexName = "address", createIndex = true)
public class Address {
    @Id
    private String id;

    @Field(type = FieldType.Text )
    private String fullAddress;

    private String regionCode;

    @Field(type = FieldType.Nested, store = true)
    private List<Entry> parts;

    public Address(String fullAddress) {
        this.fullAddress = fullAddress;
    }

    public Address(String fullAddress, List<Entry> entryList) {
        this.fullAddress = fullAddress;
        this.parts = entryList;
    }

    public Address(String fullAddress, List<Entry> entryList, String regionCode) {
        this.fullAddress = fullAddress;
        this.parts = entryList;
        this.regionCode = regionCode;
    }
}

存储库(fullAddress ==“*俄罗斯莫斯科*”；如果没有@Query，则该方法不适用于包含空格的键)

@Repository
public interface AddressElasticRepository extends ElasticsearchRepository<Address, String> {
    @Query("{\"bool\" : {\"must\" : {\"field\" : {\"fullAddress\" : {\"query\" : \"?\",\"analyze_wildcard\" : true}}}}}")
    List<Address> findByFullAddressLike(String fullAddress);
}

我在Elastic中的索引:

{
  "address": {
    "aliases": {},
    "mappings": {
      "properties": {
        "fullAddress": {
          "type": "text"
        },
        "parts": {
          "type": "nested",
          "properties": {
            "aoGuid": {
              "type": "text",
              "fields": {
                "keyword": {
                  "type": "keyword",
                  "ignore_above": 256
                }
              }
            },
            "aoLevel": {
              "type": "integer"
            },
            "aoid": {
              "type": "text",
              "fields": {
                "keyword": {
                  "type": "keyword",
                  "ignore_above": 256
                }
              }
            },
            "code": {
              "type": "text",
              "fields": {
                "keyword": {
                  "type": "keyword",
                  "ignore_above": 256
                }
              }
            },
            "offName": {
              "type": "text",
              "fields": {
                "keyword": {
                  "type": "keyword",
                  "ignore_above": 256
                }
              }
            },
            "parentGuid": {
              "type": "text",
              "fields": {
                "keyword": {
                  "type": "keyword",
                  "ignore_above": 256
                }
              }
            },
            "postalCode": {
              "type": "text",
              "fields": {
                "keyword": {
                  "type": "keyword",
                  "ignore_above": 256
                }
              }
            },
            "shortName": {
              "type": "text",
              "fields": {
                "keyword": {
                  "type": "keyword",
                  "ignore_above": 256
                }
              }
            }
          }
        },
        "regionCode": {
          "type": "integer"
        }
      }
    },
    "settings": {
      "index": {
        "refresh_interval": "1s",
        "number_of_shards": "1",
        "provided_name": "address",
        "creation_date": "1582120325272",
        "store": {
          "type": "fs"
        },
        "number_of_replicas": "1",
        "uuid": "CG3m-SDdT9CqpXXJ2knl4g",
        "version": {
          "created": "7040099"
        }
      }
    }
  }
}

当我调用findByFullAddressLike方法时，出现错误:



我该怎么办才能使错误消失？

最佳答案

错误状态



您的查询不正确(即field不是有效的查询)，应该是

@Query("{\"bool\":{\"must\":{\"query_string\":{\"query\":\"?\",\"default_field\":\"fullAddress\",\"analyze_wildcard\":true}}}}")