Spring Data Elasticsearch 的@Field 注释不起作用

Question

我有一个 Spring 启动应用程序，在 pom.xml 中带有 Spring Data Elasticsearch 插件。我创建了一个文档 class，我想将其编入索引：

@Document(indexName = "operations", type = "operation")
public class OperationDocument {

@Id
private Long id;

@Field(
    type = FieldType.String, 
    index = FieldIndex.analyzed, 
    searchAnalyzer = "standard", 
    indexAnalyzer = "standard",
    store = true
)
private String operationName;

@Field(
    type = FieldType.Date, 
    index = FieldIndex.not_analyzed, 
    store = true, 
    format = DateFormat.custom, pattern = "dd.MM.yyyy hh:mm"
)
private Date dateUp;

@Field(
    type = FieldType.String, 
    index = FieldIndex.not_analyzed, 
    store = false
) 
private String someTransientData;

@Field(type = FieldType.Nested)
private List<Sector> sectors;

//Getter and setters

我还为此创建了一个存储库 class:

 public interface OperationDocumentRepository 
      extends ElasticsearchRepository<OperationDocument, Long> {
 }

我做了一个测试，使用存储库索引了三个示例对象。它很长，所以我 post 只需要它。事实是ES服务器中创建的映射忽略了@Field注解设置的配置：

"mappings": {
  "operation": {
    "properties": {
      "operationName": {
        "type": "string"
      },
      "dateUp": {
        "type": "long"
      },
      "someTransientData": {
        "type": "string"
      },
      "sectors": {
        "properties": {
          "id": {
            "type": "long"
          },
          "sectorName": {
            "type": "string"
          }
        }
      }
    }
  }
}

没有关于分析器的信息，"someTransientData" 被存储和索引，dateUp 被键入为 Long 而不是 Date。

直接从服务器请求的示例文档：

 {
   "_index": "operations",
   "_type": "operation",
   "_id": "AUyUk2cY3nXeOFxdOlQW",
   "_version": 1,
   "_score": 1,
   "_source": {
     "id": null,
     "operationName": "Second Operation Name",
     "dateUp": 1428421827091,
     "someTransientData": "Do not index or store",
     "sectors": [
       {
         "id": 2,
         "sectorName": "Health Care"
       },
       {
         "id": 3,
         "sectorName": "Construction"
       }
     ]
   }
 }

我还注意到，当我第二次运行应用程序时，在启动时出现此错误，仅在索引已存在时打印：

ERROR 19452 --- [main] .d.e.r.s.AbstractElasticsearchRepository : failed to load elasticsearch nodes : org.elasticsearch.index.mapper.MergeMappingException: Merge failed with failures {[mapper [someTransientData] has different index values, mapper [someTransientData] has different tokenize values, mapper [someTransientData] has different index_analyzer, object mapping [sectors] can't be changed from non-nested to nested, mapper [operationName] has different store values, mapper [operationName] has different index_analyzer, mapper [dateUp] of different type, current_type [long], merged_type [date]]}

这是 Spring Data Elastic Search 的错误还是我做错了什么？

我尝试了 spring 引导提供的稳定版本和 spring-data-elasticsearch 的最后一个快照。我还尝试了插件提供的嵌入式 Elasticsearch 服务器和当前版本的外部服务器。我总是得到相同的结果。

Answer 1

我尝试使用 spring data elasticsearch 示例应用程序来复制问题，但根据您的配置，我得到了如上所述的预期结果。

全部代码提交到这里 --> link

查看在 spring 上下文加载时生成索引并应用映射的 TestCase--> link

这是 TestCase 生成的映射：

  {
  "operations" : {
    "aliases" : { },
    "mappings" : {
      "operation" : {
        "properties" : {
          "dateUp" : {
            "type" : "date",
            "store" : true,
            "format" : "dd.MM.yyyy hh:mm"
          },
          "operationName" : {
            "type" : "string",
            "store" : true,
            "analyzer" : "standard"
          },
          "sectors" : {
            "type" : "nested"
          },
          "someTransientData" : {
            "type" : "string",
            "index" : "not_analyzed"
          }
        }
      }
    },
    "settings" : {
      "index" : {
        "refresh_interval" : "1s",
        "number_of_shards" : "5",
        "store" : {
          "type" : "fs"
        },
        "creation_date" : "1428677234773",
        "number_of_replicas" : "1",
        "version" : {
          "created" : "1040499"
        },
        "uuid" : "-djzLu-IQ0CBs-M6R0-R6Q"
      }
    },
    "warmers" : { }
  }
}

你能用 spring boot using https://github.com/spring-projects/spring-boot/tree/master/spring-boot-samples/spring-boot-sample-data-elasticsearch

创建类似的例子吗

并提交 public 分享？

Answer 2

我终于可以复制并解决问题了。事实上，我使用 ElasticTemplate 来索引和搜索文档而不是存储库，因为我的业务逻辑变得更加复杂（使用聚合等）。

之后，我删除了未使用的 OperationDocumentRespository。似乎需要存储库才能在启动时将类型映射发布到 ES 服务器。我认为拥有 @Document class 应该就足够了，但事实并非如此。

所以我们这里有两个选择：

保留 OperationDocumentRepository

将此行添加到应用程序启动：

elasticsearchTemplate.putMapping(OperationDocument.class);

Answer 3

我在使用 spring-data-elasticsearch 时也遇到了这个错误并得到了解决方案。只需将代码放在下面，请查看评论。 ES 禁止在创建索引后更改字段类型。但是您可以更改其他属性，例如 fielddata.

Spring 数据弹性搜索 3.2.x
弹性搜索 6.8.4
Spring 引导 2.2.x


package com.xxxx.xx.es.entity;

import lombok.Builder;
import lombok.Data;
import lombok.EqualsAndHashCode;
import org.springframework.data.annotation.Id;
import org.springframework.data.elasticsearch.annotations.Document;
import org.springframework.data.elasticsearch.annotations.Field;
import org.springframework.data.elasticsearch.annotations.FieldType;
import org.springframework.data.elasticsearch.annotations.Mapping;

@EqualsAndHashCode(callSuper = true)
@Data
@Builder
@Document(indexName = "gaming-laptop", indexStoreType = "fs")
@Mapping(mappingPath = "/gaming-laptop-mappings.json")   // use custom json to configure data structure in ES, default spring data won't work although using @Field(type = FieldType.Keyword)
public class GamingLaptop extends BaseEntity {

    @Id
    private String id;

    @Field
    private String cpu;

    @Field(type = FieldType.Keyword)  // this only works in ES 7.6.2+, Spring Data Elasticsearch 4.0.X+
    private String brandName;

    @Field
    private Integer cores;

    @Field
    private Integer threads;

    @Field
    private String coreFrequency;

    @Field
    private String ssd;

    @Field
    private String ram;

    @Field
    private String produceDate;

    @Field
    private Integer version;

    @Field
    private Double price;

    @Field(type = FieldType.Keyword)
    private String description;

}

resources/gaming-laptop-mappings.json

{
    "properties":{
        "_class":{
            "type":"text",
            "fields":{
                "keyword":{
                    "type":"keyword",
                    "ignore_above":256
                }
            }
        },
        "brandName":{
            "type":"keyword"
        },
        "coreFrequency":{
            "type":"text",
            "fields":{
                "keyword":{
                    "type":"keyword",
                    "ignore_above":256
                }
            }
        },
        "cores":{
            "type":"long"
        },
        "cpu":{
            "type":"text",
            "fields":{
                "keyword":{
                    "type":"keyword",
                    "ignore_above":256
                }
            }
        },
        "description":{
            "type":"keyword"
        },
        "gmtCreated":{
            "type":"text",
            "fields":{
                "keyword":{
                    "type":"keyword",
                    "ignore_above":256
                }
            }
        },
        "gmtModified":{
            "type":"text",
            "fields":{
                "keyword":{
                    "type":"keyword",
                    "ignore_above":256
                }
            }
        },
        "price":{
            "type":"float"
        },
        "produceDate":{
            "type":"text",
            "fields":{
                "keyword":{
                    "type":"keyword",
                    "ignore_above":256
                }
            }
        },
        "ram":{
            "type":"text",
            "fields":{
                "keyword":{
                    "type":"keyword",
                    "ignore_above":256
                }
            }
        },
        "ssd":{
            "type":"text",
            "fields":{
                "keyword":{
                    "type":"keyword",
                    "ignore_above":256
                }
            }
        },
        "threads":{
            "type":"long"
        },
        "version":{
            "type":"long"
        }
    }
}

或者，您可以使用 rest 高级客户端来调整 Javier Alvarez 的方法： elasticsearchTemplate.putMapping(OperationDocument.class);

Spring Data Elasticsearch 的@Field 注释不起作用

Spring Data Elasticsearch's @Field annotation not working

elasticsearch

spring-data

spring-data-elasticsearch