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最近体验了下AI生成音乐,感觉效果很不错,有兴趣的可以访问如下地址体验一下:
https://suno3.cn/#/?i=8NCBS8_WXTT
Hi,大家好,我是悟纤。我就是我,不一样的烟火。我就是我,与众不同的小苹果。
这一节来看下在SpringBoot中如何集成ElasticSearch。
一、Spring Boot整合ElasticSearch
这里有一个版本的对应情况,最好对应上会比较好,不然会出现莫名其妙的问题。
https://docs.spring.io/spring-data/elasticsearch/docs/current/reference/html/#new-features.5-1-0
1.1 创建项目
根据相应的版本,选择相应的Spring Boot版本,这里选择的是3.1.4版本。
1.2 添加依赖
在pom.xml文件添加依赖:
<dependencies>
<dependency>
<groupId>org.springframework.boot</groupId>
<artifactId>spring-boot-starter-web</artifactId>
</dependency>
<dependency>
<groupId>org.springframework.boot</groupId>
<artifactId>spring-boot-starter-data-elasticsearch</artifactId>
</dependency>
<dependency>
<groupId>org.projectlombok</groupId>
<artifactId>lombok</artifactId>
</dependency>
<dependency>
<groupId>org.springframework.boot</groupId>
<artifactId>spring-boot-starter-test</artifactId>
<scope>test</scope>
</dependency>
</dependencies>
1.3 添加配置
在配置文件application.properties中添加配置:
spring.elasticsearch.uris = http://localhost:9200
spring.elasticsearch.connection-timeout = 3s
1.4 创建实体
创建实体,使用@Field注解,添加字段在ES中的类型以及使用的分词器:
"employees") (indexName =
public class Employee {
private Long id;
type= FieldType.Keyword) (
private String name;
private int sex;
private int age;
type= FieldType.Text,analyzer="ik_max_word") (
private String address;
private String remark;
}
1.5实现ElasticsearchRepository
该接口是框架封装的用于操作Elastsearch的高级接口:
public interface EmployeeRepository extends ElasticsearchRepository<Employee, Long> {
List<Employee> findByName(String name);
}
1.6测试
@Autowired
EmployeeRepository employeeRepository;
@Test
void test() {
Employee employee = new Employee(1L,"悟纤",1,32,"福建福州","love coding");
//插入文档
employeeRepository.save(employee);
//根据id查询
Optional<Employee> result = employeeRepository.findById(1L);
System.out.println(String.valueOf(result.get()));
//根据name查询
List<Employee> list = employeeRepository.findByName("悟纤");
System.out.println(list.get(0));
}
1.7使用ElasticsearchTemplate
@Resource
private ElasticsearchTemplate elasticsearchTemplate;
@Test
public void testCreateIndex(){
//创建索引
IndexOperations indexOperations = elasticsearchTemplate.indexOps(IndexCoordinates.of("employee_index"));
if (indexOperations.exists()) {
System.out.println("索引已经存在");
}else {
//创建索引
indexOperations.create();
}
}
@Test
public void testDeleteIndex(){
//删除索引
IndexOperations indexOperations = elasticsearchTemplate.indexOps(IndexCoordinates.of("employee_index"));
indexOperations.delete();
}
@Test
public void testQueryDocument(){
NativeSearchQueryBuilder builder = new NativeSearchQueryBuilder();
//查询
//builder.withQuery(QueryBuilders.matchQuery("address","公园"));
// 设置分页信息
builder.withPageable(PageRequest.of(0, 5));
// 设置排序
//builder.withSort(SortBuilders.fieldSort("age").order(SortOrder.DESC));
SearchHits<Employee> search = elasticsearchTemplate.search(builder.build(), Employee.class);
List<SearchHit<Employee>> searchHits = search.getSearchHits();
for (SearchHit hit: searchHits){
System.out.println("返回结果:"+hit.toString());
}
}
@Test
public void testInsertBatch() throws JsonProcessingException {
List<Employee> employees = new ArrayList<>();
employees.add(new Employee(2l,"张三",1,25,"广州天河公园","java developer"));
employees.add(new Employee(3l,"李四",1,28,"广州荔湾大厦","java assistant"));
employees.add(new Employee(4l,"小红",0,26,"广州白云山公园","php developer"));
List<IndexQuery> queries = new ArrayList<>();
for (Employee employee : employees) {
IndexQuery indexQuery = new IndexQuery();
indexQuery.setId(employee.getId().toString());
ObjectMapper mapper = new ObjectMapper();
String json = mapper.writeValueAsString(employee);
indexQuery.setSource(json);
queries.add(indexQuery);
}
//bulk批量插入
elasticsearchTemplate.bulkIndex(queries,Employee.class);
}
基本的集成用起来害死很简单的,关键在如何在实际的项目中进行合理的使用,这个是需要在具体的实战中进行自我摸索和探究的。