Spring data elasticsearch使用

一、准备

1.添加依赖

        <dependency>
            <groupId>org.springframework.boot</groupId>
            <artifactId>spring-boot-starter-data-elasticsearch</artifactId>
        </dependency>

2.application.yml

spring:
  application:
    name: search-service
  data:
    elasticsearch:
      cluster-name: elasticsearch
      cluster-nodes: 192.168.25.129:9300

3.实体类

@Data
@Document(indexName = "goods", type = "_doc", shards = 1, replicas = 0)
public class Goods {
    @Idprivate Long id;
    @Field(type = FieldType.text, analyzer = "ik_max_word")
    private String all;
    @Field(type = FieldType.keyword, index = false)
    private String subTitle;private Long brandId;private Long cid1;private Long cid2;private Long cid3;private Date createTime;private List<Long> price;
    @Field(type = FieldType.keyword, index = false)
    private String skus;private Map<String, Object> specs;
}

@Document 作用在类，标记实体类为文档对象，一般有两个属性
- indexName：对应索引库名称
- type：对应在索引库中的类型
- shards：分片数量，默认5
- replicas：副本数量，默认1
@Id 作用在成员变量，标记一个字段作为id主键
@Field 作用在成员变量，标记为文档的字段，并指定字段映射属性：
- type：字段类型，取值是枚举：FieldType
- index：是否索引，布尔类型，默认是true
- store：是否存储，布尔类型，默认是false
- analyzer：分词器名称

二.、索引操作

首先注入ElasticsearchTemplate

    @Resource
    private ElasticsearchTemplate elasticsearchTemplate;

● 创建索引

elasticsearchTemplate.createIndex(Goods.class);

● 配置映射

elasticsearchTemplate.putMapping(Goods.class);

● 删除索引

//根据类
elasticsearchTemplate.deleteIndex(Goods.class);
//根据索引名
elasticsearchTemplate.deleteIndex("goods");

三、文档操作

1.定义接口。也是SpringData风格

public interface ItemRepository extends ElasticsearchRepository<Item,Long> {
}

2.注入

@Autowired
private ItemRepository itemRepository;

● 新增文档

Item item = new Item(1L, "小米手机7", " 手机",
                         "小米", 3499.00, "http://image.leyou.com/13123.jpg");
itemRepository.save(item);

● 批量新增

    List<Item> list = new ArrayList<>();
    list.add(new Item(2L, "坚果手机R1", " 手机", "锤子", 3699.00, "http://image.leyou.com/123.jpg"));
    list.add(new Item(3L, "华为META10", " 手机", "华为", 4499.00, "http://image.leyou.com/3.jpg"));
    // 接收对象集合，实现批量新增
    itemRepository.saveAll(list);

● 基本查询

    // 查询全部，并安装价格降序排序
    Iterable<Item> items = this.itemRepository.findAll(Sort.by(Sort.Direction.DESC, "price"));
    items.forEach(item-> System.out.println(item));

● 自定义查询

public interface ItemRepository extends ElasticsearchRepository<Item,Long> {

    /**
     * 根据价格区间查询
     * @param price1
     * @param price2
     * @return
     */
    List<Item> findByPriceBetween(double price1, double price2);
}

自定义方法对应的原生查询语句：

Keyword	Sample	Elasticsearch Query String
`And`	`findByNameAndPrice`	`{"bool" : {"must" : [ {"field" : {"name" : "?"}}, {"field" : {"price" : "?"}} ]}}`
`Or`	`findByNameOrPrice`	`{"bool" : {"should" : [ {"field" : {"name" : "?"}}, {"field" : {"price" : "?"}} ]}}`
`Is`	`findByName`	`{"bool" : {"must" : {"field" : {"name" : "?"}}}}`
`Not`	`findByNameNot`	`{"bool" : {"must_not" : {"field" : {"name" : "?"}}}}`
`Between`	`findByPriceBetween`	`{"bool" : {"must" : {"range" : {"price" : {"from" : ?,"to" : ?,"include_lower" : true,"include_upper" : true}}}}}`
`LessThanEqual`	`findByPriceLessThan`	`{"bool" : {"must" : {"range" : {"price" : {"from" : null,"to" : ?,"include_lower" : true,"include_upper" : true}}}}}`
`GreaterThanEqual`	`findByPriceGreaterThan`	`{"bool" : {"must" : {"range" : {"price" : {"from" : ?,"to" : null,"include_lower" : true,"include_upper" : true}}}}}`
`Before`	`findByPriceBefore`	`{"bool" : {"must" : {"range" : {"price" : {"from" : null,"to" : ?,"include_lower" : true,"include_upper" : true}}}}}`
`After`	`findByPriceAfter`	`{"bool" : {"must" : {"range" : {"price" : {"from" : ?,"to" : null,"include_lower" : true,"include_upper" : true}}}}}`
`Like`	`findByNameLike`	`{"bool" : {"must" : {"field" : {"name" : {"query" : "?*","analyze_wildcard" : true}}}}}`
`StartingWith`	`findByNameStartingWith`	`{"bool" : {"must" : {"field" : {"name" : {"query" : "?*","analyze_wildcard" : true}}}}}`
`EndingWith`	`findByNameEndingWith`	`{"bool" : {"must" : {"field" : {"name" : {"query" : "*?","analyze_wildcard" : true}}}}}`
`Contains/Containing`	`findByNameContaining`	`{"bool" : {"must" : {"field" : {"name" : {"query" : "?","analyze_wildcard" : true}}}}}`
`In`	`findByNameIn(Collection<String>names)`	`{"bool" : {"must" : {"bool" : {"should" : [ {"field" : {"name" : "?"}}, {"field" : {"name" : "?"}} ]}}}}`
`NotIn`	`findByNameNotIn(Collection<String>names)`	`{"bool" : {"must_not" : {"bool" : {"should" : {"field" : {"name" : "?"}}}}}}`
`Near`	`findByStoreNear`	`Not Supported Yet !`
`True`	`findByAvailableTrue`	`{"bool" : {"must" : {"field" : {"available" : true}}}}`
`False`	`findByAvailableFalse`	`{"bool" : {"must" : {"field" : {"available" : false}}}}`
`OrderBy`	`findByAvailableTrueOrderByNameDesc`	`{"sort" : [{ "name" : {"order" : "desc"} }],"bool" : {"must" : {"field" : {"available" : true}}}}`

Spring data elasticsearch使用

猜你喜欢