（六）spring-data-elasticseach操作es

简介

官方文档地址：https://docs.spring.io/spring-data/elasticsearch/docs/current/reference/html/

spring-data-elasticseach提供对es的高层次抽象，用于存储、查询、排序、分片操作。

集成

1. 添加依赖 

   
   			org.springframework.boot
   			spring-boot-starter-data-elasticsearch
   		
   		
   			org.springframework.boot
   			spring-boot-starter-web
   		
   		
   		
   			org.springframework.boot
   			spring-boot-starter-test
   			test
   		
   
           
               junit
               junit
               4.12
           
   
   		
   			com.alibaba
   			fastjson
   			1.2.6
   		
   		
   		
   			org.mybatis.spring.boot
   			mybatis-spring-boot-starter
   			1.3.2
   		
   		
   			mysql
   			mysql-connector-java
   			runtime
   		

    
2. 修改配置文件 

   spring.data.elasticsearch.cluster-name=my-application
   spring.data.elasticsearch.cluster-nodes=h120,h121,h122

    

3. ok配置完成，接下来可以通过操作es了。

repository

1. 创建实体类 

   /** 指定indexname、 type、 数据分片数、 备份数*/
   @Document(indexName = "goods", type = "goods", shards = 3, replicas = 2)
   public class Goods implements Serializable {
       private Integer id;
       @Field(type = FieldType.Text, index = true, store = false, analyzer = "ik_max_word", searchAnalyzer = "ik_max_word")
       private String name;
       private String productId;
       private String barcode;
       private Integer typeId;
   

   指定indexname、type、分片、被分数， 默认@Document里的字段都会被索引， 在字段上用@Field指定字段类型、是否索引、是否存储、 索引时的analyzer、 搜索时的analyzer。

2. 创建repository  

   @Repository
   public interface GoodsRepository extends ElasticsearchRepository{
   
       List findByNameContains(String key, Pageable pageable);
       List findByBarcodeContains(String key, Pageable pageable);
   }

    

3.  在测试类中注入 mapper和repository 

   	@Autowired
   	GoodsMapper goodsMapper;
   
   	@Autowired
   	GoodsRepository goodsRepository;

   mapper用于查询数据库数据、 repository写入es。

4. 加载数据 

   	@Test
   	public void indexAllGoods(){
   		// 通过mapper从数据库查数据， repository写入es
   		List goodsList = goodsMapper.selectAll();
   		goodsRepository.saveAll(goodsList);
   	}

    

5. 查询数据，用repository中定义的接口 

   @Test
   	public void findGoodsByName(){
   		List goodsList;
   
   		goodsList = goodsRepository.findByBarcodeContains("69329392", PageRequest.of(0, 10));
   		print(goodsList);
   
   		goodsList = goodsRepository.findByNameContains("后刹", PageRequest.of(0, 10));
   		print(goodsList);
   
   		goodsList = goodsRepository.findByNameContains("刹车片", PageRequest.of(0, 10));
   		print(goodsList);
   
   		goodsList = goodsRepository.findByNameContains("后刹车片", PageRequest.of(0, 10));
   		print(goodsList);
   	}
   	private void print(List list){
   		System.out.println(JSONObject.toJSONString(list));
   	}

   经过测试，这里查询后刹车片能查出，因为有名叫后刹车片的数据，刹车片却不能查出。 es对中文的模糊查询并不可靠，得事先优化IK的词库。 中文字段最好用Search。 

6. 搜索数据   

   @Test
   	public void stringQueryBuilder(){
   //		QueryBuilder queryBuilder = new QueryStringQueryBuilder("name:刹车片");
   //		QueryBuilder queryBuilder = new QueryStringQueryBuilder("刹车片").field("name");
   		QueryBuilder queryBuilder = new QueryStringQueryBuilder("刹车片").field("name").analyzer("ik_max_word");
   		Iterable goodsIterable = goodsRepository.search(queryBuilder);
   		Iterator iterator = goodsIterable.iterator();
   		while (iterator.hasNext()){
   			Goods goods = iterator.next();
   			System.out.println(JSONObject.toJSONString(goods));
   		}
   
   		System.out.println("-------------------------");
   		queryBuilder = new QueryStringQueryBuilder("刹车片").field("name");
   		goodsIterable = goodsRepository.search(queryBuilder);
   		iterator = goodsIterable.iterator();
   		while (iterator.hasNext()){
   			Goods goods = iterator.next();
   			System.out.println(JSONObject.toJSONString(goods));
   		}
   	}

   支持多种QueryBuilder。

ElasticsearchTemplate操作

直接注入ElasticsearchTemplate即可进行操作。