您需要 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.检查分析仪是否按预期工作

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
  } ]
}

因此，现在您可以按 one ， two 或 onetwo 查找该文档.搜索将不区分大小写.

So now you can find this document by one, two or onetwo. A search will be case insensitive.

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

@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);

    }
}