springboot 集成elasticsearch Ik分词

前提是我们elasticsearch 服务已经集成了IK分词，具体集成下载对应的elasticsearch IK分词插件，在es插件包下创建IK文件夹，将下载好的IK包上传上去解压后重启es
1、pom引入


co.elastic.clients
elasticsearch-java
7.16.2


jakarta.json
jakarta.json-api
2.0.1


org.springframework.boot
spring-boot-starter-data-elasticsearch

2、配置config类
@Configuration
public class RestClientConfig {

@Value("${elasticsearch.ip}")
private String ip;

@Bean
public ElasticsearchClient elasticsearchClient() {
	ElasticsearchClient client;
	// Create the low-level client
	RestClient restClient = RestClient.builder(this.getElasticSearchHttpHosts()).build();
	// Create the transport with a Jackson mapper
	ElasticsearchTransport transport = new RestClientTransport(restClient, new JacksonJsonpMapper());
	// And create the API client
	client = new ElasticsearchClient(transport);
	return client;
}

/**
 * ElasticSearch 连接地址
 * 多个逗号分隔
 * 示例：127.0.0.1:9201,127.0.0.1:9202,127.0.0.1:9203
 */
private HttpHost[] getElasticSearchHttpHosts() {
	String[] hosts = ip.split(",");
	HttpHost[] httpHosts = new HttpHost[hosts.length];
	for (int i = 0; i < httpHosts.length; i++) {
		String host = hosts[i];
		httpHosts[i] = new HttpHost(host.split(":")[0], Integer.parseInt(host.split(":")[1]));
	}
	return httpHosts;
}

}
3、创建service
/**

• 自定义es查询接口
  /
  public interface IBizElasticsearchService {
  /*

  • 判断索引是否存在
  • @param index 索引
  • @return boolean
    */
    public boolean existsIndex(String index);

  /**

  • 创建索引
  • @param index 索引
  • @param aliasename aliasename
  • @return boolean
    */
    public boolean createIndex(String index, String aliasename, int numOfShards, Map<String, Property> properties);

  /**

  • 删除索引
  • @param indexList indexList
  • @return boolean
    */
    public boolean deleteIndex(List indexList);

  /**

  • 判断文档是否存在
  • @param index index
  • @param id id
  • @return boolean
    */
    public boolean existsDocument(String index, String id, Class clazz);

  /**

  • 保存文档
  • 如果文档存在则更新文档
  • @param index index
  • @param id id
  • @param qa qa
  • @return IndexResponse
    */
    public IndexResponse saveOrUpdateDocument(String index, String id, T qa);

  /**

  • 不指定IO保存文档
  • @param index 索引
  • @param qa 数据
  • @return IndexResponse
    */
    public IndexResponse saveOrUpdateDocument(String index, T qa);

  /**

  • 根据id获取文档
  • @param index index
  • @param id id
  • @param clazz clazz
  • @return T
    */
    public T getById(String index, String id, Class clazz);

  /**

  • 根据id列表获取文档
  • @param index index
  • @param idList id
  • @param clazz clazz
  • @return List
    */
    public List getByIdList(String index, List idList, Class clazz);

  /**

  • 分页查询
  • @param index index
  • @param pageNo pageNo
  • @param pageSize pageSize
  • @param clazz clazz
  • @return HitsMetadata
    */
    public HitsMetadata searchByPages(String index, Integer pageNo, Integer pageSize, Class clazz, SearchRequest searchRequest);

  /**

  • 根据id删除文档
  • @param id id
    */
    public boolean deleteById(String index, String id);

  /**

  • 查询list
  • @param clazz
  • @param searchRequest
  • @return
    */
    HitsMetadata searchList(Class clazz, SearchRequest searchRequest);
    }
    4、serviceImpl

@Service
@Slf4j
public class BizElasticsearchServiceImpl implements IBizElasticsearchService {

@Autowired
private ElasticsearchClient client;



@Autowired
public void setClient(ElasticsearchClient client) {
	this.client = client;
}

public boolean existsIndex(String index) {
	try {
		ExistsRequest existsRequest = new ExistsRequest.Builder().index(index).build();
		BooleanResponse response = client.indices().exists(existsRequest);
		return response.value();
	} catch (IOException e) {
		log.error("There is an error while getting index", e);
	}
	return false;
}

@Override
public boolean createIndex(String indexName, String aliasesName, int numOfShards, Map<String, Property> properties) {
	try {
		TypeMapping typeMapping = new TypeMapping.Builder().properties(properties).build();
		// 我这里需要用到ik分词器，所以setting就写死了
		IndexSettings indexSettings = new IndexSettings.Builder().numberOfShards(String.valueOf(numOfShards))
			.analysis(q->q.analyzer("ik_max_tokenizer",q1->q1.custom(a->a.tokenizer("ik_max_word")))).build();
		CreateIndexRequest createIndexRequest = new CreateIndexRequest.Builder()
			.index(indexName)
			.aliases(aliasesName, new Alias.Builder().isWriteIndex(true).build())
			.mappings(typeMapping)
			.settings(indexSettings)
			.build();
		CreateIndexResponse response = client.indices().create(createIndexRequest);
		return response.acknowledged();
	} catch (IOException e) {
		log.error("There is an error while creating index", e);
	}
	return false;
}

@Override
public boolean deleteIndex(List<String> indexList) {
	try {
		DeleteIndexRequest deleteIndexRequest = new DeleteIndexRequest.Builder().index(indexList).build();
		DeleteIndexResponse response = client.indices().delete(deleteIndexRequest);
		return response.acknowledged();
	} catch (IOException e) {
		log.error("There is an error while deleting index", e);
	}
	return false;
}

@Override
public boolean existsDocument(String index, String id, Class<T> clazz) {
	try {
		GetRequest getRequest = new GetRequest.Builder().index(index).id(id).build();
		GetResponse<T> getResponse = client.get(getRequest, clazz);
		return getResponse.found();
	} catch (IOException e) {
		log.error("There is an error while judging if the document exists", e);
	}
	return false;
}

@Override
public IndexResponse saveOrUpdateDocument(String index, String id, T t) {
	try {
		IndexRequest<T> indexRequest = new IndexRequest.Builder<T>().index(index).id(id).document(t).build();
		return client.index(indexRequest);
	} catch (IOException e) {
		log.error("There is an error while saving the document", e);
	}

	return null;
}

@Override
public IndexResponse saveOrUpdateDocument(String index, T t) {
	try {
		IndexRequest<T> indexRequest = new IndexRequest.Builder<T>().index(index).document(t).build();
		return client.index(indexRequest);
	} catch (IOException e) {
		log.error("There is an error while saving the document", e);
	}
	return null;
}

@Override
public T getById(String index, String id,  Class<T> clazz) {
	try {
		GetRequest getRequest = new GetRequest.Builder().index(index).id(id).build();
		GetResponse<T> getResponse = client.get(getRequest, clazz);
		return getResponse.source();
	} catch (IOException e) {
		log.error("There is an error while getting the document", e);
	}
	return null;
}

@Override
public List<T> getByIdList(String index, List<String> idList, Class<T> clazz) {
	try {
		List<T> tList = new ArrayList<>(idList.size());
		for (String id : idList) {
			tList.add(client.get(new GetRequest.Builder().index(index).id(id).build(), clazz).source());
		}
		return tList;
	} catch (IOException e) {
		log.error("There is an error while getting the document list", e);
	}
	return null;
}

@Override
public HitsMetadata<T> searchByPages(String index, Integer pageNo, Integer pageSize, Class<T> clazz,SearchRequest searchRequest) {
	try {
		SearchResponse<T> searchResponse = client.search(searchRequest, clazz);
		return searchResponse.hits();
	} catch (IOException e) {
		log.error("There is an error while searching by pages", e);
	}
	return null;
}
@Override
public HitsMetadata<T> searchList(Class<T> clazz,SearchRequest searchRequest) {
	try {
		SearchResponse<T> searchResponse = client.search(searchRequest, clazz);
		return searchResponse.hits();
	} catch (IOException e) {
		log.error("There is an error while searching by list", e);
	}
	return null;
}




public boolean deleteById(String index, String id) {
	try {
		DeleteRequest deleteRequest = new DeleteRequest.Builder().index(index).id(id).build();
		DeleteResponse deleteResponse = client.delete(deleteRequest);
		return "deleted".equals(deleteResponse.result().jsonValue());
	} catch (IOException e) {
		log.error("There is an error while deleting id document", e);
	}
	return false;
}

}
这里主要讲下我们对那些字段分词，我们调用createIndex,传入Map<String, Property> properties，如下是我们对title和content字段进行IK分词：
Map<String,Property> map = new HashMap<>();
Property titleProperty = Property.of(pBuilder -> pBuilder.text(tBuilder -> tBuilder.analyzer("ik_max_word").searchAnalyzer("ik_max_word")));
map.put("title",titleProperty);
Property contentProperty = Property.of(pBuilder -> pBuilder.text(tBuilder -> tBuilder.analyzer("ik_max_word").searchAnalyzer("ik_max_word")));
map.put("content",contentProperty);
return R.data(bizElasticsearchService.createIndex(indexName,indexName+"_aliases",2,map));