1.添加依赖
<!-- 添加 elasticsearch 客户端 -->
<dependency>
<groupId>org.springframework.boot</groupId>
<artifactId>spring-boot-starter-data-elasticsearch</artifactId>
</dependency>
2.添加ES配置
#使用模板方式
spring:
elasticsearch:
rest:
uris:
- http://localhost:9200
3.添加实体类
package com.tianya.springboot.es.entity;
import org.springframework.data.annotation.Id;
import org.springframework.data.elasticsearch.annotations.Document;
import org.springframework.data.elasticsearch.annotations.Field;
import lombok.AllArgsConstructor;
import lombok.Builder;
import lombok.Data;
import lombok.NoArgsConstructor;
@Data
@Builder
@AllArgsConstructor
@NoArgsConstructor
@Document(indexName = "people_index", type = "people")
public class PeopleBean {
/**
* 主键
*/
@Id
private Long uid ;
/**
* 姓名
*/
@Field
private String name ;
/**
* 年龄
*/
@Field
private int age ;
/**
* 地址
*/
@Field
private String addr ;
/**
* 生日
*/
@Field
private String birthDay ;
/**
* 职业
*/
@Field
private String professional ;
/**
* 兴趣
*/
@Field
private String interest ;
}
4.添加repository
package com.tianya.springboot.es.dao;
import org.springframework.data.elasticsearch.repository.ElasticsearchRepository;
import org.springframework.stereotype.Repository;
import com.tianya.springboot.es.entity.PeopleBean;
@Repository
public interface PeopleEsDao extends ElasticsearchRepository<PeopleBean, Long>{
}
准备操作都做完了,开始进行对elasticsearch操作了,新增一些测试模拟数据
@SpringBootTest
public class PeopleTest {
@Autowired
private PeopleEsDao peopleEsDao ;
@Test
public void insert() {
List<PeopleBean> peopleBeanList = new ArrayList<>();
peopleBeanList.add(PeopleBean.builder().uid(1L).name("吴彦祖").age(45).birthDay("1977-01-01").addr("香港").professional("演员").interest("赛车").build());
peopleBeanList.add(PeopleBean.builder().uid(2L).name("吴奇隆").age(55).birthDay("1967-01-01").addr("大陆").professional("演员").interest("唱歌").build());
peopleBeanList.add(PeopleBean.builder().uid(3L).name("吴京").age(45).birthDay("1977-01-01").addr("大陆").professional("演员").interest("武术").build());
peopleBeanList.add(PeopleBean.builder().uid(4L).name("古天乐").age(55).birthDay("1967-01-01").addr("香港").professional("演员").interest("唱歌").build());
peopleBeanList.add(PeopleBean.builder().uid(5L).name("苏炳添").age(35).birthDay("1987-01-01").addr("大陆").professional("运动员").interest("跑步").build());
peopleBeanList.add(PeopleBean.builder().uid(6L).name("刘亦菲").age(30).birthDay("1992-01-01").addr("大陆").professional("歌手").interest("演戏").build());
peopleBeanList.add(PeopleBean.builder().uid(7L).name("张杰").age(30).birthDay("1992-01-01").addr("大陆").professional("歌手").interest("健身").build());
peopleBeanList.add(PeopleBean.builder().uid(8L).name("张家辉").age(45).birthDay("1977-01-01").addr("香港").professional("演员").interest("唱歌").build());
// 新增
Iterable<PeopleBean> saveResult = peopleEsDao.saveAll(peopleBeanList);
System.out.println(JSON.toJSONString(saveResult, true));
}
}
结果:
[
{
"addr":"大陆",
"age":35,
"birthDay":"1987-01-01",
"interest":"跑步",
"name":"苏炳添",
"professional":"运动员",
"uid":5
},
{
"addr":"香港",
"age":45,
"birthDay":"1977-01-01",
"interest":"唱歌",
"name":"张家辉",
"professional":"演员",
"uid":8
},
{
"addr":"大陆",
"age":55,
"birthDay":"1967-01-01",
"interest":"唱歌",
"name":"吴奇隆",
"professional":"演员",
"uid":2
},
{
"addr":"香港",
"age":55,
"birthDay":"1967-01-01",
"interest":"唱歌",
"name":"古天乐",
"professional":"演员",
"uid":4
},
{
"addr":"大陆",
"age":30,
"birthDay":"1992-01-01",
"interest":"演戏",
"name":"刘亦菲",
"professional":"歌手",
"uid":6
},
{
"addr":"香港",
"age":45,
"birthDay":"1977-01-01",
"interest":"赛车",
"name":"吴彦祖",
"professional":"演员",
"uid":1
},
{
"addr":"大陆",
"age":30,
"birthDay":"1992-01-01",
"interest":"健身",
"name":"张杰",
"professional":"歌手",
"uid":7
},
{
"addr":"大陆",
"age":45,
"birthDay":"1977-01-01",
"interest":"武术",
"name":"吴京",
"professional":"演员",
"uid":3
}
]
@Test
public void get() {
// 查询所有
Iterable<PeopleBean> peopleList = peopleEsDao.findAll();
System.out.println(JSON.toJSONString(peopleList, true));
}
类似SQL:
SELECT * FROM people
@Test
public void order4Get() {
// 按照uid进行排序
Sort orderSort = Sort.by(Order.asc("uid"));
Iterable<PeopleBean> sortPeopleList = peopleEsDao.findAll(orderSort);
System.out.println(JSON.toJSONString(sortPeopleList, true));
}
可以按照多个字段进行排序
public static Sort by(Order… orders) ;
类似SQL:
SELECT * FROM people order by uid
@Test
public void page4Get() {
PageRequest page = PageRequest.of(0, 5, Sort.by(Order.asc("uid")));
// 分页查询
Page<PeopleBean> pagePeopleList = peopleEsDao.findAll(page);
System.out.println(JSON.toJSONString(pagePeopleList, true));
}
类似SQL:
SELECT * FROM people order by uid limit 0,5
结果:
{
"content":[
{
"addr":"香港",
"age":45,
"birthDay":"1977-01-01",
"interest":"赛车",
"name":"吴彦祖",
"professional":"演员",
"uid":1
},
{
"addr":"大陆",
"age":55,
"birthDay":"1967-01-01",
"interest":"唱歌",
"name":"吴奇隆",
"professional":"演员",
"uid":2
},
{
"addr":"大陆",
"age":45,
"birthDay":"1977-01-01",
"interest":"武术",
"name":"吴京",
"professional":"演员",
"uid":3
},
{
"addr":"香港",
"age":55,
"birthDay":"1967-01-01",
"interest":"唱歌",
"name":"古天乐",
"professional":"演员",
"uid":4
},
{
"addr":"大陆",
"age":35,
"birthDay":"1987-01-01",
"interest":"跑步",
"name":"苏炳添",
"professional":"运动员",
"uid":5
}
],
"empty":false,
"facets":[],
"first":true,
"last":false,
"maxScore":null,
"number":0,
"numberOfElements":5,
"pageable":{
"offset":0,
"pageNumber":0,
"pageSize":5,
"paged":true,
"sort":{
"empty":false,
"sorted":true,
"unsorted":false
},
"unpaged":false
},
"size":5,
"sort":{"$ref":"$.pageable.sort"},
"totalElements":8,
"totalPages":2
}
@Test
public void search() {
TermQueryBuilder ageQuery = QueryBuilders.termQuery("age", 45);
// age = 45
Iterable<PeopleBean> search = peopleEsDao.search(ageQuery);
System.out.println("结果:");
System.out.println(JSON.toJSONString(search, true));
}
类似SQL:
SELECT * FROM people WHERE age = 45
结果:
[
{
"addr":"香港",
"age":45,
"birthDay":"1977-01-01",
"interest":"唱歌",
"name":"张家辉",
"professional":"演员",
"uid":8
},
{
"addr":"香港",
"age":45,
"birthDay":"1977-01-01",
"interest":"赛车",
"name":"吴彦祖",
"professional":"演员",
"uid":1
},
{
"addr":"大陆",
"age":45,
"birthDay":"1977-01-01",
"interest":"武术",
"name":"吴京",
"professional":"演员",
"uid":3
}
]
若是查询中文,需要添加 keyword ,term 是指分词后的 = 查询
@Test
public void searchChinese() {
// 添加 keyword 的目的是 以后面查询的值整体查询,不要分词,不然查询不到
TermQueryBuilder termQuery = QueryBuilders.termQuery("addr.keyword", "大陆");
System.out.println("参数:");
System.out.println(termQuery.toString(true));
Iterable<PeopleBean> search = peopleEsDao.search(termQuery);
System.out.println("结果:");
System.out.println(JSON.toJSONString(search, true));
}
@Test
public void searchMore() {
BoolQueryBuilder boolQuery = QueryBuilders.boolQuery()
.filter(QueryBuilders.termQuery("addr.keyword", "大陆"))
.filter(QueryBuilders.termQuery("age", 45));
System.out.println("参数:");
System.out.println(boolQuery.toString(true));
Iterable<PeopleBean> search = peopleEsDao.search(boolQuery);
System.out.println("结果:");
System.out.println(JSON.toJSONString(search, true));
}
类似SQL:
SELECT * FROM people WHERE addr = '大陆' AND age = 45
结果:
{
"addr":"大陆",
"age":45,
"birthDay":"1977-01-01",
"interest":"武术",
"name":"吴京",
"professional":"演员",
"uid":3
}
@Test
public void searchBetweenAnd() {
// >=
// RangeQueryBuilder rangeQuery = QueryBuilders.rangeQuery("age").gte(55);
// between and
RangeQueryBuilder rangeQuery = QueryBuilders.rangeQuery("age").from(55).to(66);
System.out.println("参数:");
System.out.println(rangeQuery.toString(true));
Iterable<PeopleBean> search = peopleEsDao.search(rangeQuery);
System.out.println("结果:");
System.out.println(JSON.toJSONString(search, true));
}
类似SQL:
SELECT * FROM people WHERE age BETWEEN 55 AND 66
gte >=
gt >
lt <
lte <=
from … to … 类似 between and
@Test
public void searchSort() {
BoolQueryBuilder queryBuilder = QueryBuilders.boolQuery()
.filter(QueryBuilders.termQuery("professional.keyword", "演员"))
.filter(QueryBuilders.termQuery("age", 55));
System.out.println("参数:");
System.out.println(queryBuilder.toString(true));
// 分页排序
PageRequest page = PageRequest.of(0, 5, Sort.by(Order.desc("age"), Order.asc("uid")));
// 搜索分页查询
Iterable<PeopleBean> search = peopleEsDao.search(queryBuilder, page);
System.out.println("结果:");
System.out.println(JSON.toJSONString(search, true));
}
类似SQL:
SELECT
*
FROM people
WHERE professional = '演员'
AND age = 55
ORDER BY age desc, uid asc
limit 0,5
结果:
[
{
"addr":"大陆",
"age":55,
"birthDay":"1967-01-01",
"interest":"唱歌",
"name":"吴奇隆",
"professional":"演员",
"uid":2
},
{
"addr":"香港",
"age":55,
"birthDay":"1967-01-01",
"interest":"唱歌",
"name":"古天乐",
"professional":"演员",
"uid":4
}
]
@Test
public void searchQuery() {
NativeSearchQueryBuilder queryBuilder = new NativeSearchQueryBuilder()
.withFields("uid","name","age","professional")
.withFilter(QueryBuilders.termQuery("professional.keyword", "演员"))
.withQuery(QueryBuilders.rangeQuery("age").gte(45))
.withSort(SortBuilders.fieldSort("uid"))
.withPageable(PageRequest.of(0, 3));
Iterable<PeopleBean> search = peopleEsDao.search(queryBuilder.build());
System.out.println("结果:");
System.out.println(JSON.toJSONString(search, true));
}
类似SQL:
select
uid,name,age,professional
from people
where professional = '演员'
and age >= 45
order by uid
limit 0,3
结果:
[
{
"age":45,
"name":"吴彦祖",
"professional":"演员",
"uid":1
},
{
"age":55,
"name":"吴奇隆",
"professional":"演员",
"uid":2
},
{
"age":45,
"name":"吴京",
"professional":"演员",
"uid":3
}
]