什么是elasticsearch?
Elasticsearch 是一个基于 Lucene 的开源搜索引擎和分析引擎,它为结构化和非结构化的海量数据提供了实时的搜索、分析和可视化功能。Elasticsearch 是 Elastic Stack(也称为 ELK Stack)的核心组件之一,其他组件还包括 Kibana(用于数据可视化)、Logstash(用于数据收集和处理)。
es 主要是对数据进行搜索,分析,倒排。是一个开源的高扩展的分布式全文搜索引擎。近实时的搜索。
es 的特点:
1、搜索的数据对象大量的非结构化的文本
2、倒排索引
3、每个字段都可以被索引和搜索
docker拉取es镜像
yum install -y yum-utils device-mapper-persistent-data lvm2 docker search elasticsearch docker pull elasticsearch:7.3.1 docker run -d --name elasticsearch -p 9200:9200 -p 9300:9300 -e "discovery.type=single-node" -e ES_JAVA_OPTS="-Xms1024m -Xmx1024m" 3d3aa92f641f
es中文分词插件
https://github.com/medcl/elasticsearch-analysis-ik/releases/download/v7.3.1/elasticsearch-analysis-ik-7.3.1.zip
插件安装
mkdir /soft/ik 进入容器内部 docker exec -it elasticsearch /bin/bash cd plugins mkdir ik 回到外部 docker cp /soft/ik/. 73438a827b55:/usr/share/elasticsearch/plugins/ik 重启es
引入依赖
<dependency> <groupId>org.springframework.boot</groupId> <artifactId>spring-boot-starter-data-elasticsearch</artifactId> <version>2.4.2</version> </dependency>
配置yml的地址
import lombok.AllArgsConstructor; import lombok.Data; import lombok.NoArgsConstructor; 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 java.math.BigDecimal; @Data @AllArgsConstructor @NoArgsConstructor @Document(indexName = "subject_index",createIndex = false) public class SubjectInfoEs { @Field(type = FieldType.Long) @Id private Long id; @Field(type = FieldType.Text, analyzer = "ik_smart", searchAnalyzer = "ik_smart") private String subjectName; @Field(type = FieldType.Text, analyzer = "ik_smart") private String subjectAnswer; @Field(type = FieldType.Keyword) private String createUser; @Field(type = FieldType.Date, index = false) private Long createTime; }
引入继承
ElasticsearchRepository类import com.jingdianjichi.subject.infra.basic.entity.SubjectInfoEs; import org.springframework.data.elasticsearch.repository.ElasticsearchRepository; import org.springframework.stereotype.Component; @Component public interface SubjectEsRepository extends ElasticsearchRepository<SubjectInfoEs, Long> { }
接口层
public interface SubjectEsService { void createIndex(); void addDocs(); void getDocs(); void find(); void search(); }
接口实现层
import com.alibaba.fastjson.JSON; import com.jingdianjichi.subject.infra.basic.entity.SubjectInfoEs; import com.jingdianjichi.subject.infra.basic.esRepo.SubjectEsRepository; import com.jingdianjichi.subject.infra.basic.service.SubjectEsService; import lombok.extern.slf4j.Slf4j; import org.elasticsearch.index.query.QueryBuilders; import org.springframework.data.elasticsearch.core.ElasticsearchRestTemplate; import org.springframework.data.elasticsearch.core.IndexOperations; import org.springframework.data.elasticsearch.core.SearchHit; import org.springframework.data.elasticsearch.core.SearchHits; import org.springframework.data.elasticsearch.core.document.Document; import org.springframework.data.elasticsearch.core.query.NativeSearchQuery; import org.springframework.data.elasticsearch.core.query.NativeSearchQueryBuilder; import org.springframework.stereotype.Service; import javax.annotation.Resource; import java.util.ArrayList; import java.util.Date; import java.util.List; @Service("subjectEsService") @Slf4j public class SubjectEsServiceImpl implements SubjectEsService { @Resource private ElasticsearchRestTemplate elasticsearchRestTemplate; @Resource private SubjectEsRepository subjectEsRepository; @Override public void createIndex() { IndexOperations indexOperations = elasticsearchRestTemplate.indexOps(SubjectInfoEs.class); indexOperations.create(); Document mapping = indexOperations.createMapping(SubjectInfoEs.class); indexOperations.putMapping(mapping); } @Override public void addDocs() { List<SubjectInfoEs> list = new ArrayList<>(); list.add(new SubjectInfoEs(1l, "redis是什么", "redis是·缓存", "**", new Date().getTime())); list.add(new SubjectInfoEs(2l, "mysql是什么", "mysql是数据库", "**", new Date().getTime())); subjectEsRepository.saveAll(list); } @Override public void getDocs() { } @Override public void find() { subjectEsRepository.findAll().forEach(subjectInfoEs -> { log.info("subjectInfoEs:{}", JSON.toJSONString(subjectInfoEs)); }); } @Override public void search() { NativeSearchQuery nativeSearchQuery = new NativeSearchQueryBuilder() .withQuery(QueryBuilders.matchQuery("subjectName", "redis")) .build(); SearchHits<SubjectInfoEs> search = elasticsearchRestTemplate. search(nativeSearchQuery, SubjectInfoEs.class); List<SearchHit<SubjectInfoEs>> searchHits = search.getSearchHits(); log.info("searchHits:{}", JSON.toJSONString(searchHits)); } }
controller层
@GetMapping("testCreateIndex") public void testCreateIndex() { subjectEsService.createIndex(); } @GetMapping("addDocs") public void addDocs() { subjectEsService.addDocs(); } @GetMapping("search") public void search() { subjectEsService.search(); } @GetMapping("find") public void find() { subjectEsService.find(); }
索引成功创建并且添加文档
search以及find方法日志打印完成
22:43:06.848 [http-nio-3001-exec-1] INFO SubjectEsServiceImpl - searchHits:[{"content":{"createTime":1722522746532,"createUser":"**","id":1,"subjectAnswer":"redis是·缓存","subjectName":"redis是什么"},"highlightFields":{},"id":"1","index":"subject_index","innerHits":{},"score":0.6931472,"sortValues":[]}] 22:43:45.486 [http-nio-3001-exec-4] INFO SubjectEsServiceImpl - subjectInfoEs:{"createTime":1722522746532,"createUser":"**","id":1,"subjectAnswer":"redis是·缓存","subjectName":"redis是什么"} 22:43:45.486 [http-nio-3001-exec-4] INFO SubjectEsServiceImpl - subjectInfoEs:{"createTime":1722522746532,"createUser":"**","id":2,"subjectAnswer":"mysql是数据库","subjectName":"mysql是什么"}
标签:集成,spring,void,springframework,elasticsearch,import,org,data From: https://www.cnblogs.com/azwz/p/18337757