使用Springboot整合ElasticSearch以及通过接口热更新分词和同义词

什么是ElasticSearch

Elasticsearch(ES) 是一个基于Lucene构建的开源、分布式、RESTful接口全文搜索引擎。ElasticSearch还是一个分布式文档数据库，其中每个字段均被索引且可被搜索，它能够扩展至数以百计的服务器存储以及处理PB级的数据。他可以在很短的时间内存储、搜索和分析大量的数据。

demo地址 : https://github.com/BKTiger/elasticsearch-demo.git

java与ES整合配置

1. 引入依赖
   本项目使用的Springboot版本为2.0.7.RELEASE，注意必须指定elasticsearch版本，否则依赖会报错。

<properties>
		<project.build.sourceEncoding>UTF-8</project.build.sourceEncoding>
		<project.reporting.outputEncoding>UTF-8</project.reporting.outputEncoding>
		<java.version>1.8</java.version>
		<elasticsearch.version>7.1.0</elasticsearch.version> <!-- 这里须指定ElasticSearch版本-->
</properties>

<dependency>
		<groupId>org.elasticsearch.client</groupId>
		<artifactId>elasticsearch-rest-high-level-client</artifactId>
		<version>${
   elasticsearch.version}</version>
</dependency>

2. 引入配置
   2.1 简版配置

   @Configuration
   public class ElasticSearchRestConfig {
        
   
      @Bean
       public RestHighLevelClient restHighLevelClient(){
        
           RestHighLevelClient client = new RestHighLevelClient(
                   RestClient.builder(
                           new HttpHost("localhost", 9200, "http")));
           return client;
       }
   }
   

   2.2 终板配置

   @Configuration
   public class ElasticSearchRestConfig {
        
   
       @Value("${data.elasticsearch.url}")
       private String[] ipAddress;
       private static final int ADDRESS_LENGTH = 2;
       private static final String HTTP_SCHEME = "http";
   
       @Bean
       public RestClientBuilder restClientBuilder() {
        
           HttpHost[] hosts = Arrays.stream(ipAddress)
                   .map(this::makeHttpHost)
                   .filter(Objects::nonNull)
                   .toArray(HttpHost[]::new);
           return RestClient.builder(hosts);
       }
   
       @Bean
       @Primary
       public RestHighLevelClient highLevelClient(@Autowired RestClientBuilder restClientBuilder) {
        
           //TODO 此处可以进行其它操作
           return new RestHighLevelClient(restClientBuilder);
       }
   
       private HttpHost makeHttpHost(String s) {
        
           String[] address = s.split(":");
           if (address.length == ADDRESS_LENGTH) {
        
               String ip = address[0];
               int port = Integer.parseInt(address[1]);
               return new HttpHost(ip, port, HTTP_SCHEME);
           } else {
        
               return null;
           }
       }
   }
   

索引的构建

1. 索引的创建
   创建代码参考demo的test方法中的 com.zhangtai.demo.DemoBootApplicationTests#createIndex，该方法中引入了ik分词器和dynamic-synonym同义词插件，下文中有使用和配置的方法，需要先加入ik分词器和dynamic-synonym同义词插件后才可使用该方法创建索引，如果不使用可以不进行索引的人工创建，es会自行创建，分词器使用默认分词器，每个汉字为一个分词。
2. 索引的删除

	// DELETE http://127.0.0.1:9200/goods
	private void deleteAll(String index){
   
		DeleteIndexRequest deleteIndexRequest = new DeleteIndexRequest(index);
		try {
   
			restHighLevelClient.indices().delete(deleteIndexRequest, RequestOptions.DEFAULT);
		} catch (IOException e) {
   
			e.printStackTrace();
		}
	}

3. 判断索引是否存在

	public void indexExist(){
   
		// goods索引是否存在
		GetIndexRequest goods = new GetIndexRequest("goods");
		try {
   
			boolean exists = restHighLevelClient.indices().exists(goods, RequestOptions.DEFAULT);
			System.out.println("goods索引存在与否:"+exists);
		} catch (IOException e) {
   
			e.printStackTrace();
		}
	}

数据操作

1. 新增数据
   1.1 实体类

   @Data
   public class Goods {
        
   
       private String id;
   
       private String name;
   
       private BigDecimal price;
   
       private Long skuId;
   
       private Long spuId;
   
       private Long colorId;
   
       private String colorName;
   
       public Goods() {
        
       }
   
       public Goods(String id, String name, BigDecimal price, Long skuId, Long spuId, Long colorId, String colorName) {
        
           this.id = id;
           this.name = name;
           this.price = price;
           this.skuId = skuId;
           this.spuId = spuId;
           this.colorId = colorId;
           this.colorName = colorName;
       }
   
       public Goods(String name, BigDecimal price, Long skuId, Long spuId, Long colorId, String colorName) {
        
           this.name = name;
           this.price = price;
           this.skuId = skuId;
           this.spuId = spuId;
           this.colorId = colorId;
           this.colorName = colorName;
       }
   }
   

   2.2 新增测试数据

   	private List<Map<String,Object>> getDate(){
        
   		List<Map<String,Object>> result = new ArrayList<>();
   		Goods goods = new Goods("00001","袜子",new BigDecimal(21.3D),1L,1L,1L,"红色");
   		String s = JSON.toJSONString(goods);
   		Map map = JSON.parseObject(s, Map.class);
   		result.add(map);
   		goods = new Goods("00002","袜子",new BigDecimal