忽略 Elasticsearch 中的空格

Question

对于我的搜索，我想考虑到该"space"字符在过滤器请求中不是必需的这一事实。
例如：
当我过滤时，"THE ONE"我会看到相应的文档。
就算写了也想看"THEONE"。
这就是我今天构建查询的方式：

boolQueryBuilder.must(QueryBuilders.boolQuery()
     .should(QueryBuilders.wildcardQuery("description", "*" + 
         searchedWord.toLowerCase() + "*"))
     .should(QueryBuilders.wildcardQuery("id", "*" + 
         searchedWord.toUpperCase() + "*"))
     .should(QueryBuilders.wildcardQuery("label", "*" + 
         searchedWord.toUpperCase() + "*"))
     .minimumShouldMatch("1"));

我想要的是添加这个过滤器：（用 ElasticSearch 编写一个忽略空格的自动完成器）

"word_joiner": {
  "type": "word_delimiter",
  "catenate_all": true
}   

但我不知道如何使用 API 做到这一点。任何的想法？
谢谢！

编辑：按照@raam86 的建议，我添加了自己的自定义分析器：

{
    "index": {
      "number_of_shards": 1,
      "analysis": {
        "filter": {
          "word_joiner": {
            "type": "word_delimiter",
            "catenate_all": true
          }
        },
        "analyzer": {
          "custom_analyzer": {
            "type": "custom",
            "tokenizer": "standard",
            "filter": [
              "word_joiner"
            ]
          }
        }
      }
    }
}

这是文件：

@Document(indexName = "cake", type = "pa")
@Setting(settingPath = "/elasticsearch/config/settings.json")
public class PaElasticEntity implements Serializable {
   @Field(type = FieldType.String, analyzer = "custom_analyzer")
    private String maker;
}

还是行不通...

Answer 1

您需要一个带状疱疹令牌过滤器。简单的例子。

1. 使用设置创建索引

PUT joinword
{
    "settings": {
        "analysis": {
            "filter": {
                "word_joiner": {
                    "type": "shingle",
                    "output_unigrams": "true",
                    "token_separator": ""
                }
            },
            "analyzer": {
                "word_join_analyzer": {
                    "type": "custom",
                    "tokenizer": "standard",
                    "filter": [
                        "lowercase",
                        "word_joiner"
                    ]
                }
            }
        }
    }
}

2. 检查分析器是否按预期工作

GET joinword/_analyze?pretty
{
  "analyzer": "word_join_analyzer",
  "text": "ONE TWO"
}

输出：

{
  "tokens" : [ {
    "token" : "one",
    "start_offset" : 0,
    "end_offset" : 3,
    "type" : "<ALPHANUM>",
    "position" : 0
  }, {
    "token" : "onetwo",
    "start_offset" : 0,
    "end_offset" : 7,
    "type" : "shingle",
    "position" : 0
  }, {
    "token" : "two",
    "start_offset" : 4,
    "end_offset" : 7,
    "type" : "<ALPHANUM>",
    "position" : 1
  } ]
}

所以现在您可以通过one,two或找到此文档onetwo。搜索将不区分大小写。

工作弹簧示例

完整项目可在 GitHub 上获得。

实体：

@Document(indexName = "document", type = "document", createIndex = false)
@Setting(settingPath = "elasticsearch/document_index_settings.json")
public class DocumentES {
    @Id()
    private String id;
    @Field(type = String, analyzer = "word_join_analyzer")
    private String title;

    public DocumentES() {
    }

    public DocumentES(java.lang.String title) {
        this.title = title;
    }

    public java.lang.String getId() {
        return id;
    }

    public void setId(java.lang.String id) {
        this.id = id;
    }

    public String getTitle() {
        return title;
    }

    public void setTitle(String title) {
        this.title = title;
    }

    @Override
    public java.lang.String toString() {
        return "DocumentES{" +
                "id='" + id + '\'' +
                ", title='" + title + '\'' +
                '}';
    }
}

主要的：

@SpringBootApplication
@EnableConfigurationProperties(value = {ElasticsearchProperties.class})
public class Application implements CommandLineRunner {
    @Autowired
    ElasticsearchTemplate elasticsearchTemplate;

    public static void main(String[] args) {
        SpringApplication.run(Application.class);
    }

    @Override
    public void run(String... args) throws Exception {
        elasticsearchTemplate.createIndex(DocumentES.class);
        elasticsearchTemplate.putMapping(DocumentES.class);

        elasticsearchTemplate.index(new IndexQueryBuilder()
                .withIndexName("document")
                .withType("document")
                .withObject(new DocumentES("ONE TWO")).build()
        );

        Thread.sleep(2000);
        NativeSearchQuery query = new NativeSearchQueryBuilder()
                .withIndices("document")
                .withTypes("document")
                .withQuery(matchQuery("title", "ONEtWO"))
                .build();

        List<DocumentES> result = elasticsearchTemplate.queryForList(query, DocumentES.class);

        result.forEach (System.out::println);

    }
}