JAVA操作elastic?search的詳細(xì)過程
1.環(huán)境準(zhǔn)備
本文是作者ES系列的第三篇文章,關(guān)于ES的核心概念移步:
http://www.dbjr.com.cn/article/255798.htm
關(guān)于ES的下載安裝教程以及基本使用,移步:
http://www.dbjr.com.cn/program/2934323c0.htm
在前文中,我們已經(jīng)搭建好了一個es+kibana的基礎(chǔ)環(huán)境,本文將繼續(xù)使用該環(huán)境,演示JAVA操作es。
2.ES JAVA API
Elasticsearch Rest High Level Client 是 Elasticsearch 官方提供的一個 Java 客戶端庫,用于與 Elasticsearch 進(jìn)行交互。這個客戶端庫是基于 REST 風(fēng)格的 HTTP 協(xié)議,與 Elasticsearch 進(jìn)行通信,提供了更高級別的抽象,使得開發(fā)者可以更方便地使用 Java 代碼與 Elasticsearch 進(jìn)行交互。
依賴:
<dependency>
<groupId>org.elasticsearch</groupId>
<artifactId>elasticsearch</artifactId>
<version>7.17.3</version>
</dependency>
<dependency>
<groupId>org.elasticsearch.client</groupId>
<artifactId>elasticsearch-rest-high-level-client</artifactId>
<version>7.17.3</version>
</dependency>
<dependency>
<groupId>org.apache.logging.log4j</groupId>
<artifactId>log4j-core</artifactId>
<version>2.10.0</version>
</dependency>
<dependency>
<groupId>junit</groupId>
<artifactId>junit</artifactId>
<version>4.12</version>
</dependency>
<dependency>
<groupId>com.alibaba.fastjson2</groupId>
<artifactId>fastjson2</artifactId>
<version>2.0.45</version>
</dependency>其實(shí)Rest High Level Client的使用邏輯一共就分散步:
- 拼json
- 創(chuàng)建request
- client執(zhí)行request
創(chuàng)建client:
RestHighLevelClient restHighLevelClient = new RestHighLevelClient(RestClient.builder(new HttpHost("127.0.0.1",9200,"http")));創(chuàng)建索引:
@Test
public void createIndex() throws IOException {
//1.拼json
//settings
Settings.Builder settings = Settings.builder()
.put("number_of_shards", 3)
.put("number_of_replicas", 1);
//mappings
XContentBuilder mappings = JsonXContent.contentBuilder().
startObject().
startObject("properties").
startObject("name").
field("type", "text").
endObject().
startObject("age").
field("type", "integer").
endObject().
endObject().
endObject();
//2.創(chuàng)建request
CreateIndexRequest createIndexRequest = new CreateIndexRequest("person").settings(settings).mapping(mappings);
//3.client執(zhí)行request
restHighLevelClient.indices().create(createIndexRequest, RequestOptions.DEFAULT);
}創(chuàng)建文檔:
@Test
public void createDoc() throws IOException {
Person person=new Person("1","zou",20);
JSONObject json = JSONObject.from(person);
System.out.println(json);
IndexRequest request=new IndexRequest("person",null,person.getId().toString());
request.source(json, XContentType.JSON);
IndexResponse response = restHighLevelClient.index(request, RequestOptions.DEFAULT);
System.out.println(response);
}響應(yīng)結(jié)果:

修改文檔:
@Test
public void updateDoc() throws IOException {
HashMap<String, Object> doc = new HashMap();
doc.put("name","張三");
String docId="1";
UpdateRequest request=new UpdateRequest("person",null,docId);
UpdateResponse response = restHighLevelClient.update(request, RequestOptions.DEFAULT);
System.out.println(response.getResult().toString());
}刪除文檔:
@Test
public void deleteDoc() throws IOException {
DeleteRequest request=new DeleteRequest("person",null,"1");
DeleteResponse response = restHighLevelClient.delete(request, RequestOptions.DEFAULT);
System.out.println(response.getResult().toString());
}響應(yīng)結(jié)果:

搜索示例:
import org.elasticsearch.action.search.SearchRequest;
import org.elasticsearch.action.search.SearchResponse;
import org.elasticsearch.client.RequestOptions;
import org.elasticsearch.client.RestHighLevelClient;
import org.elasticsearch.common.unit.TimeValue;
import org.elasticsearch.index.query.QueryBuilders;
import org.elasticsearch.search.builder.SearchSourceBuilder;
import java.io.IOException;
public class ElasticsearchSearchExample {
public static void main(String[] args) {
// 創(chuàng)建 RestHighLevelClient 實(shí)例,連接到 Elasticsearch 集群
RestHighLevelClient client = new RestHighLevelClient(
RestClient.builder(new HttpHost("localhost", 9200, "http"))
);
// 構(gòu)建搜索請求
SearchRequest searchRequest = new SearchRequest("your_index"); // 替換為實(shí)際的索引名稱
// 構(gòu)建查詢條件
SearchSourceBuilder searchSourceBuilder = new SearchSourceBuilder();
searchSourceBuilder.query(QueryBuilders.matchAllQuery()); // 查詢所有文檔
// 設(shè)置一些可選參數(shù)
searchSourceBuilder.from(0); // 設(shè)置起始索引,默認(rèn)為0
searchSourceBuilder.size(10); // 設(shè)置返回結(jié)果的數(shù)量,默認(rèn)為10
searchSourceBuilder.timeout(new TimeValue(5000)); // 設(shè)置超時時間,默認(rèn)為1分鐘
// 將查詢條件設(shè)置到搜索請求中
searchRequest.source(searchSourceBuilder);
try {
// 執(zhí)行搜索請求
SearchResponse searchResponse = client.search(searchRequest, RequestOptions.DEFAULT);
// 處理搜索響應(yīng)
System.out.println("Search took: " + searchResponse.getTook());
// 獲取搜索結(jié)果
SearchHits hits = searchResponse.getHits();
System.out.println("Total hits: " + hits.getTotalHits().value);
// 遍歷搜索結(jié)果
for (SearchHit hit : hits.getHits()) {
System.out.println("Document ID: " + hit.getId());
System.out.println("Source: " + hit.getSourceAsString());
}
} catch (IOException e) {
// 處理異常
e.printStackTrace();
} finally {
try {
// 關(guān)閉客戶端連接
client.close();
} catch (IOException e) {
// 處理關(guān)閉連接異常
e.printStackTrace();
}
}
}
}請注意,上述示例中的 your_index 應(yīng)該替換為你實(shí)際的 Elasticsearch 索引名稱。這個示例使用了簡單的 matchAllQuery,你可以根據(jù)實(shí)際需求構(gòu)建更復(fù)雜的查詢條件。在搜索響應(yīng)中,你可以獲取到搜索的結(jié)果以及相關(guān)的元數(shù)據(jù)。
3.Spring Boot操作ES
在 Spring Boot 中操作 Elasticsearch 通常使用 Spring Data Elasticsearch,以標(biāo)準(zhǔn)的JPA的模式來操作ES。
依賴:
<parent>
<groupId>org.springframework.boot</groupId>
<artifactId>spring-boot-starter-parent</artifactId>
<version>2.6.x</version> <!-- 選擇一個與Elasticsearch 7.17.3兼容的Spring Boot版本 -->
</parent>
<dependencies>
<!-- Spring Boot Starter Web -->
<dependency>
<groupId>org.springframework.boot</groupId>
<artifactId>spring-boot-starter-web</artifactId>
</dependency>
<!-- Spring Data Elasticsearch -->
<dependency>
<groupId>org.springframework.boot</groupId>
<artifactId>spring-boot-starter-data-elasticsearch</artifactId>
</dependency>
<!-- Spring Boot Starter Test (for testing) -->
<dependency>
<groupId>org.springframework.boot</groupId>
<artifactId>spring-boot-starter-test</artifactId>
<scope>test</scope>
</dependency>
</dependencies>
application.properties配置:spring.data.elasticsearch.cluster-nodes=localhost:9200
實(shí)體類:
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.util.Date;
@Document(indexName = "blogpost_index")
public class BlogPost {
@Id
private String id;
@Field(type = FieldType.Text)
private String title;
@Field(type = FieldType.Text)
private String content;
@Field(type = FieldType.Keyword)
private String author;
@Field(type = FieldType.Date)
private Date publishDate;
// 構(gòu)造函數(shù)、getter和setter
public BlogPost() {
}
public BlogPost(String id, String title, String content, String author, Date publishDate) {
this.id = id;
this.title = title;
this.content = content;
this.author = author;
this.publishDate = publishDate;
}
// 省略 getter 和 setter 方法
}dao層:
import org.springframework.data.elasticsearch.repository.ElasticsearchRepository;
public interface BlogPostRepository extends ElasticsearchRepository<BlogPost, String> {
// 你可以在這里定義自定義查詢方法
}service層:
import org.springframework.beans.factory.annotation.Autowired;
import org.springframework.stereotype.Service;
import java.util.List;
import java.util.Optional;
@Service
public class BlogPostService {
private final BlogPostRepository blogPostRepository;
@Autowired
public BlogPostService(BlogPostRepository blogPostRepository) {
this.blogPostRepository = blogPostRepository;
}
public BlogPost save(BlogPost blogPost) {
return blogPostRepository.save(blogPost);
}
public Optional<BlogPost> findById(String id) {
return blogPostRepository.findById(id);
}
public List<BlogPost> findAll() {
return (List<BlogPost>) blogPostRepository.findAll();
}
public void deleteById(String id) {
blogPostRepository.deleteById(id);
}
}到此這篇關(guān)于JAVA操作elastic search的文章就介紹到這了,更多相關(guān)Java操作elastic search內(nèi)容請搜索腳本之家以前的文章或繼續(xù)瀏覽下面的相關(guān)文章希望大家以后多多支持腳本之家!
- Java查詢Elasticsearch數(shù)據(jù)根據(jù)指定id檢索(in查詢)、sql權(quán)限過濾、多字段匹配檢索及數(shù)據(jù)排序
- Java使用ES?Client?調(diào)用滾動查詢及Elasticsearch滾動查詢Scrolling機(jī)制
- Java?Api實(shí)現(xiàn)Elasticsearch的滾動查詢功能
- Java利用ElasticSearch實(shí)現(xiàn)自動補(bǔ)全功能
- Java+ElasticSearch+Pytorch實(shí)現(xiàn)以圖搜圖功能
- Java中Elasticsearch 實(shí)現(xiàn)分頁方式(三種方式)
- 關(guān)于Java中配置ElasticSearch集群環(huán)境賬號密碼的問題
- Java如何使用elasticsearch進(jìn)行模糊查詢
- JAVA使用ElasticSearch查詢in和not in的實(shí)現(xiàn)方式
相關(guān)文章
Java網(wǎng)絡(luò)編程中的TCP/UDP詳解
這篇文章主要介紹了Java網(wǎng)絡(luò)編程中的TCP/UDP詳解,網(wǎng)絡(luò)編程是指編寫運(yùn)行在多個設(shè)備的程序,這些設(shè)備都通過網(wǎng)絡(luò)連接起來,java.net 包中 J2SE 的 API 包含有類和接口,它們提供低層次的通信細(xì)節(jié),需要的朋友可以參考下2023-12-12
java書店系統(tǒng)畢業(yè)設(shè)計 總體設(shè)計(1)
這篇文章主要介紹了java書店系統(tǒng)畢業(yè)設(shè)計,第一步系統(tǒng)總體設(shè)計,具有一定的參考價值,感興趣的小伙伴們可以參考一下2016-10-10
解決maven項(xiàng)目tomcat啟動失敗war exploded:Error during
在SpringMVC項(xiàng)目中,使用war和warexploded兩種部署方式可能會導(dǎo)致不同的路徑問題,從而出現(xiàn)404錯誤,war模式將項(xiàng)目打包上傳,而warexploded模式則保持文件夾結(jié)構(gòu)上傳,開發(fā)時建議使用warexploded模式,方便利用Update classes and resources功能自動更新2024-10-10
mybatis雙重foreach如何實(shí)現(xiàn)遍歷map中的兩個list數(shù)組
本文介紹了如何解析前端傳遞的JSON字符串并在Java后臺動態(tài)構(gòu)建SQL查詢條件,首先,通過JSONArray.fromObject()將JSON字符串轉(zhuǎn)化為JSONArray對象,遍歷JSONArray,從中提取name和infos,構(gòu)建成Map對象用于Mybatis SQL映射2024-09-09

