首先要明确通过springdata操作es必须要将版本号和es的版本号对应上,否则会报错(倒不用完全一一对应,但版本号最好不要相差太多)。springdata引入的版本号由springboot的版本号决定,对应关系如下:

这里我用的版本号分别是:
es:elasticsearch:7.10.1
springboot:spring-boot-starter-parent:2.7.8
springdata:spring-boot-starter-data-elasticsearch:2.7.8
4.0.0 org.example elk 1.0-SNAPSHOT elk Demo project for Spring Boot 3.0.0 UTF-8 UTF-8 1.8 3.1.1 3.3.1 8.0.17 4.0 11.2.0.3 1.1.13 2.3.0 2.6 1.2.2 2.5 1.10 1.10 1.4.0 0.7.0 0.0.9 7.2.23 2.8.3 4.4 2.4.0 2.9.9 2.8.5 1.2.60 5.0.6 1.18.4 org.springframework.boot spring-boot-starter-parent 2.7.8 org.springframework.boot spring-boot-starter-test org.springframework.boot spring-boot-starter-web org.springframework.boot spring-boot-starter-aop org.springframework spring-context-support org.springframework.boot spring-boot-starter-data-redis redis.clients jedis org.projectlombok lombok 1.18.4 org.apache.kafka kafka-clients com.github.danielwegener logback-kafka-appender 0.2.0-RC1 net.logstash.logback logstash-logback-encoder 6.4 org.springframework.boot spring-boot-starter-data-elasticsearch com.alibaba fastjson ${fastjson.version} net.sf.json-lib json-lib 2.4 jdk15 ${project.artifactId} org.apache.maven.wagon wagon-ssh 2.8 org.springframework.boot spring-boot-maven-plugin true org.apache.maven.plugins maven-surefire-plugin true
# es连接地址
spring:
elasticsearch:
uris: 192.168.3.22:9200 #如果是集群,用“,”分割
data:
elasticsearch:
repositories:
enabled: true
# Tomcat
server:
tomcat:
uri-encoding: UTF-8
max-threads: 1000
min-spare-threads: 30
port: 8087
connection-timeout: 5000ms
servlet:
context-path: /
package com.elk.escurd;
import lombok.Data;
import org.springframework.data.annotation.Id;
import org.springframework.data.elasticsearch.annotations.Document;
import org.springframework.data.elasticsearch.annotations.Field;
import org.springframework.data.elasticsearch.annotations.FieldType;
import org.springframework.data.elasticsearch.annotations.GeoPointField;
import org.springframework.data.elasticsearch.core.geo.GeoPoint;
import java.util.Date;
@Data
@Document(indexName = "invitation",createIndex = true)
public class Invitation {
@Id
private Long id;
// //指定字段的索引方式,index是否索引、store是否存储、字段的分词方式、搜索时关键字分词的方式、type指定该字段的值以什么样的数据类型来存储
// @Field(index=true,store=true,analyzer="ik_max_word",searchAnalyzer="ik_max_word",type=FieldType.Text)
/* ik_smart:粗粒度分词 */
@Field(analyzer = "ik_smart", type = FieldType.Text)
private String name;
/* ik_max_word:细粒度分词 */
@Field(analyzer = "ik_max_word", type = FieldType.Text)
private String country;
@Field(type = FieldType.Integer)
private Integer age;
@Field(type = FieldType.Text)
private String isDelete;
@Field(type = FieldType.Text)
private String status;
@Field(type = FieldType.Text)
private String sex;
@Field(type = FieldType.Text)
private String type;
@Field(type = FieldType.Date)
private Date createDate;
//es中的位置字段,存储的是经纬度,方便进行范围搜索
@GeoPointField
private GeoPoint address;
}
package com.elk.escurd; import org.springframework.data.elasticsearch.repository.ElasticsearchRepository; import org.springframework.stereotype.Repository; import java.util.List; /** * 此类和@Document中的createIndex = true配合,启动就可以将实体类变成索引注入到es中 * 不需要写具体的实现,函数名遵循命名规范即可自动实现 * 命名规则参考:https://docs.spring.io/spring-data/elasticsearch/docs/current/reference/html/#repositories.query-methods * 此类完成的是一些基础查询,复杂查询用ElasticsearchRestTemplate */ @Repository public interface InvitationRepository extends ElasticsearchRepository{ //根据名字查询 findBy+字段名 List findByName(String name); //根据地址查询 findBy+字段名 List findByAddress(String address); //根据地址和姓名查询 findBy+多个字段名之间And分隔 List findByAddressAndName(String address,String name); //查询id小于某个值的数据 findBy+比大小的字段+LessThan List findByIdLessThan(int id); //查询年龄在多少-多少之间的 findBy+条件字段+Between List findByAgeBetween(Integer minAge,Integer maxAge); }
package com.elk.escurd;
import org.springframework.beans.factory.annotation.Autowired;
import org.springframework.data.elasticsearch.core.ElasticsearchRestTemplate;
import org.springframework.data.elasticsearch.core.IndexOperations;
import org.springframework.data.elasticsearch.core.document.Document;
import org.springframework.stereotype.Service;
/**
* 索引管理类
*/
@Service
public class IndexManage {
@Autowired
private ElasticsearchRestTemplate elasticsearchRestTemplate;
/**
* 创建索引和mapping
* es不支持修改mapping,如果想要修改mapping,只能备份原来的数据,删除原有索引重新创建
*/
// @PostConstruct
public boolean createIndex(){
IndexOperations indexOperations = elasticsearchRestTemplate.indexOps(Invitation.class);
//如果存在索引,先删除索引
if (indexOperations.exists()){
indexOperations.delete();
}
//创建索引
boolean a = indexOperations.create();
if (a){
//生成映射
Document mapping = indexOperations.createMapping();
//推送映射
boolean b = indexOperations.putMapping(mapping);
return b;
}else {
return a;
}
}
public boolean deleteIndex() {
IndexOperations indexOperations = elasticsearchRestTemplate.indexOps(Invitation.class);
boolean delete = indexOperations.delete();
return delete;
}
}
package com.elk.escurd;
import com.alibaba.fastjson.JSON;
import org.elasticsearch.common.unit.DistanceUnit;
import org.elasticsearch.index.query.*;
import org.elasticsearch.search.sort.GeoDistanceSortBuilder;
import org.elasticsearch.search.sort.SortBuilder;
import org.elasticsearch.search.sort.SortBuilders;
import org.elasticsearch.search.sort.SortOrder;
import org.junit.jupiter.api.Test;
import org.springframework.beans.factory.annotation.Autowired;
import org.springframework.boot.test.context.SpringBootTest;
import org.springframework.data.domain.PageRequest;
import org.springframework.data.domain.Pageable;
import org.springframework.data.elasticsearch.core.ElasticsearchRestTemplate;
import org.springframework.data.elasticsearch.core.SearchHit;
import org.springframework.data.elasticsearch.core.SearchHits;
import org.springframework.data.elasticsearch.core.geo.GeoPoint;
import org.springframework.data.elasticsearch.core.query.NativeSearchQuery;
import org.springframework.data.elasticsearch.core.query.NativeSearchQueryBuilder;
import java.util.Date;
import java.util.List;
/**
* @author 954L
* @create 2023/2/8 15:13
*/
@SpringBootTest
class InvitationTest {
/**
* 基础操作
*/
@Autowired
private InvitationRepository invitationRepository;
/**
* 复杂操作
*/
@Autowired
private ElasticsearchRestTemplate elasticsearchRestTemplate;
/**
* 测试新增
*/
@Test
void testInsert() {
Invitation invitation = new Invitation();
invitation.setId(3l);
invitation.setName("龟儿子");
invitation.setCountry("我是美国佬");
invitation.setAge(20);
invitation.setIsDelete("0");
invitation.setStatus("0");
invitation.setSex("2");
invitation.setType("2");
invitation.setCreateDate(new Date());
GeoPoint address =new GeoPoint(41.15998589289666,123.10144051130709);
invitation.setAddress(address);
invitationRepository.save(invitation);
}
/**
* 查所有数据
*/
@Test
void testFindAll() {
Iterable invitationIterable = invitationRepository.findAll();
invitationIterable.forEach(x -> System.out.println(JSON.toJSONString(x)));
}
/**
* 修改指定数据
*/
@Test
void testUpdate() {
Invitation invitation = invitationRepository.findById(1L).orElse(null);
System.out.println("修改前名称:" + invitation.getName());
invitation.setName("龟儿子2");
invitationRepository.save(invitation);
invitation = invitationRepository.findById(1L).orElse(null);
System.out.println("修改后名称:" + invitation.getName());
}
/**
* 删除指定数据
*/
@Test
void testDelete() {
invitationRepository.deleteById(1L);
Invitation invitation = invitationRepository.findById(1L).orElse(null);
System.out.println(invitation == null? "删除成功": "删除失败");
}
/**
* 通过name查询
*/
@Test
void testfindByName(){
List invitationList = invitationRepository.findByName("儿子");
invitationList.forEach(x -> System.out.println(JSON.toJSONString(x)));
}
/**
* 通过name查询
*/
@Test
void testfindByName2() {
MatchQueryBuilder matchQueryBuilder = new MatchQueryBuilder("name", "儿子");
NativeSearchQuery query = new NativeSearchQueryBuilder().withQuery(matchQueryBuilder)
.withFields("id", "name", "country").build();
SearchHits hits = elasticsearchRestTemplate.search(query, Invitation.class);
List> searchHits = hits.getSearchHits();
System.out.println("共" + hits.getTotalHits() + "条");
searchHits.forEach(x -> System.out.println(JSON.toJSONString(x.getContent())));
}
/**
* 复杂查询:通过范围、性别、年龄、类型、按距离升序、按时间倒序分页查询
* @return
*/
@Test
void getInvitationList(){
Integer page = 1;
Integer size = 5;
Double latitude = 41.1637913541259;
Double longitude = 123.10181515177084;
String sex = "3";
Integer minage = 5;
Integer maxage = 25;
String type = "10";
Pageable pageable = PageRequest.of(page - 1, size);
//构建查询条件生成器
NativeSearchQueryBuilder nativeSearchQueryBuilder = new NativeSearchQueryBuilder();
//拼接条件
//指定字段范围查询
BoolQueryBuilder boolQueryBuilder = QueryBuilders.boolQuery().must(QueryBuilders.rangeQuery("age").gte(minage).lte(maxage));
//指定字段查询
QueryBuilder isdeleteBuilder = QueryBuilders.termQuery("isDelete", "0");
boolQueryBuilder.must(isdeleteBuilder);
QueryBuilder statusBuilder = QueryBuilders.termQuery("status","0");
// boolQueryBuilder.mustNot(statusBuilder);
boolQueryBuilder.must(statusBuilder);
if (!"3".equals(sex)&&null!=sex){
QueryBuilder sexBuilder = QueryBuilders.termQuery("sex",sex);
boolQueryBuilder.must(sexBuilder);
}
if (!"10".equals(type)&&null!=type){
QueryBuilder typeBuilder = QueryBuilders.termQuery("type",type);
boolQueryBuilder.must(typeBuilder);
}
//以某点为中心,搜索指定范围
GeoDistanceQueryBuilder distanceQueryBuilder = new GeoDistanceQueryBuilder("address");
distanceQueryBuilder.point(latitude, longitude);
//查询单位:m
distanceQueryBuilder.distance(10000, DistanceUnit.METERS);
boolQueryBuilder.filter(distanceQueryBuilder);
nativeSearchQueryBuilder.withQuery(boolQueryBuilder);
//按距离升序
GeoDistanceSortBuilder distanceSortBuilder =
new GeoDistanceSortBuilder("address", latitude, longitude);
distanceSortBuilder.unit(DistanceUnit.KILOMETERS);
distanceSortBuilder.order(SortOrder.ASC);
nativeSearchQueryBuilder.withSort(distanceSortBuilder);
//按时间倒序
SortBuilder timeSort = SortBuilders.fieldSort("createDate").order(SortOrder.DESC);
nativeSearchQueryBuilder.withSort(timeSort);
//分页
nativeSearchQueryBuilder.withPageable(pageable);
NativeSearchQuery searchQuery = nativeSearchQueryBuilder.build();
SearchHits hits = elasticsearchRestTemplate.search(searchQuery, Invitation.class);
List> searchHits = hits.getSearchHits();
System.out.println("共" + hits.getTotalHits() + "条");
searchHits.forEach(x -> System.out.println(JSON.toJSONString(x.getContent())));
}
}