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Elasticsearch-06 Spring Boot 2.0.9整合ElasticSearch5.6.16

发布时间:2025/3/21 javascript 57 豆豆
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文章目录

  • 概述
  • 官方JAVA API文档
  • 工程
    • pom.xml
    • es配置文件
    • Es配置类
    • 控制层
      • 简单查询
      • 新增数据
      • 删除数据
      • 更新数据
      • 复合查询
  • 其他
    • 新建索引
    • 删除索引
    • 判断index中某个type是否存在
  • spring-data-elasticsearch 操作ES
  • 代码

概述

前面几篇,学习了ES的基本操作,那我们这里集成到代码中吧。 我们这里没有使用Spring 提供的 spring-boot-starter-data-elasticsearch,使用的是ES原生的API 。


官方JAVA API文档

当前7.0
https://www.elastic.co/guide/en/elasticsearch/client/java-api/current/index.html

5.6

https://www.elastic.co/guide/en/elasticsearch/client/java-api/5.6/index.html

工程

ES服务端的版本 5.6.16 ,工程里es客户端的版本最好和服务端保持一致 。 正好Spring Boot 2.0.9RELEASE版本搭配transport里es是5.6.16版本。


pom.xml

<?xml version="1.0" encoding="UTF-8"?> <project xmlns="http://maven.apache.org/POM/4.0.0" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance"xsi:schemaLocation="http://maven.apache.org/POM/4.0.0 http://maven.apache.org/xsd/maven-4.0.0.xsd"><modelVersion>4.0.0</modelVersion><parent><groupId>org.springframework.boot</groupId><artifactId>spring-boot-starter-parent</artifactId><version>2.0.9.RELEASE</version><relativePath /> <!-- lookup parent from repository --></parent><groupId>masterSpringMvc</groupId><artifactId>springBootElasticSearch</artifactId><version>0.0.1-SNAPSHOT</version><name>springBootElasticSearch</name><description>masterSpringMvc project for Spring Boot</description><properties><java.version>1.8</java.version></properties><dependencies><dependency><groupId>org.springframework.boot</groupId><artifactId>spring-boot-starter-web</artifactId></dependency><dependency><groupId>org.elasticsearch.client</groupId><artifactId>transport</artifactId></dependency></dependencies><build><plugins><plugin><groupId>org.springframework.boot</groupId><artifactId>spring-boot-maven-plugin</artifactId></plugin></plugins></build></project>


es配置文件

# Elasticsearch elasticsearch.ip=127.0.0.1 #9200端口是RESTFul API来访问ElasticSearch的端口,9300端口是es节点通讯的默认端口,给java程序用的配置9300elasticsearch.port=9300 elasticsearch.pool=5# 集群的名字,和elasticsearch.yml中的cluster.name保持一致elasticsearch.cluster.name=artisan

Es配置类

package com.artisan.config;import java.net.InetAddress; import org.elasticsearch.client.transport.TransportClient; import org.elasticsearch.common.settings.Settings; import org.elasticsearch.common.transport.InetSocketTransportAddress; import org.elasticsearch.transport.client.PreBuiltTransportClient; import org.slf4j.Logger; import org.slf4j.LoggerFactory; import org.springframework.beans.factory.annotation.Value; import org.springframework.context.annotation.Bean; import org.springframework.context.annotation.Configuration;@Configuration public class ESConfig {private static final Logger logger = LoggerFactory.getLogger(ESConfig.class);@Value("${elasticsearch.ip}")private String hostName;@Value("${elasticsearch.port}")private String port;@Value("${elasticsearch.cluster.name}")private String clusterName;@Value("${elasticsearch.pool}")private String poolSize;@Beanpublic TransportClient transportClient() {logger.info("Elasticsearch begin to init ");TransportClient transportClient = null;try {// 地址信息InetSocketTransportAddress transportAddress = new InetSocketTransportAddress(InetAddress.getByName(hostName), Integer.valueOf(port));// 配置信息Settings esSetting = Settings.builder().put("cluster.name", clusterName) // 集群名字.put("client.transport.sniff", true)// 增加嗅探机制,找到ES集群.put("thread_pool.search.size", Integer.parseInt(poolSize))// 线程池个数.build();// 配置信息Settings自定义transportClient = new PreBuiltTransportClient(esSetting);transportClient.addTransportAddresses(transportAddress);} catch (Exception e) {logger.error("TransportClient create error", e);}return transportClient;} }

控制层

简单起见,我们直接在Controller层操作ES吧,仅仅是为了测试下功能。

简单查询

先写个简单的根据id获取数据的方法来测试下班

package com.artisan.controller;import java.util.Map;import org.elasticsearch.action.get.GetResponse; import org.elasticsearch.client.transport.TransportClient; import org.springframework.beans.factory.annotation.Autowired; import org.springframework.http.HttpStatus; import org.springframework.http.ResponseEntity; import org.springframework.web.bind.annotation.GetMapping; import org.springframework.web.bind.annotation.PathVariable; import org.springframework.web.bind.annotation.RestController;@RestController public class ESController {@Autowiredprivate TransportClient client;@GetMapping("/book/novel/{id}")public ResponseEntity<Map<String, Object>> getByIdFromES(@PathVariable String id){GetResponse response = this.client.prepareGet("book", "novel", id).get();if (!response.isExists()) {return new ResponseEntity<>(HttpStatus.NOT_FOUND);}return new ResponseEntity<Map<String, Object>>(response.getSource(),HttpStatus.OK);}}

启动下服务,在浏览器或者postman中访问下吧

我们通过head插件来看下id=11的数据

OK,可以访问到正确的数据。


新增数据

ESController新增add方法

@PostMapping("/book/novel/add")public ResponseEntity<String> add(NovelDTO novel) {try {XContentBuilder builder = XContentFactory.jsonBuilder().startObject().field("title", novel.getTitle()).field("author", novel.getAuthor()).field("word_count", novel.getWordCount()).field("public_date", novel.getPublishDate().getTime()).endObject();IndexResponse response = this.client.prepareIndex("book", "novel").setSource(builder).get();return new ResponseEntity<String>(response.getId(), HttpStatus.OK);} catch (IOException e) {e.printStackTrace();return new ResponseEntity<String>(HttpStatus.INTERNAL_SERVER_ERROR);}}

我们把数据请求参数封装到了NovelDTO 中

package com.artisan.dto;import java.util.Date;import org.springframework.format.annotation.DateTimeFormat;public class NovelDTO {private String title;private String author;private String wordCount;@DateTimeFormat(pattern="yyyy-MM-dd HH:mm:ss")private Date publishDate;// set/get方法 省略 }

启动服务,POST http://localhost:8080/book/novel/add

head插件中查看数据 访问 http://localhost:9100/


新增成功



如果要想用JSON传的话,需要在方法入参前加入 @RequestBody ,postman中更改如下

public ResponseEntity<String> add(@RequestBody NovelDTO novel) {}

删除数据

@DeleteMapping("/book/novel/del")public ResponseEntity<String> delete(String id ){DeleteResponse response = this.client.prepareDelete("book", "novel", id).get();return new ResponseEntity<String>(response.getResult().toString(),HttpStatus.OK);}

把刚才新增的数据删掉

通过head插件查看已经没有该记录了,删除OK


更新数据

举个例子,根据id更新title

/*** 根据id 修改title* @param id* @param title* @return*/@PutMapping("/book/novel/update")public ResponseEntity<String> update(@RequestParam(name="id")String id ,@RequestParam(name="title") String title){UpdateRequest updateRequest = new UpdateRequest("book", "novel", id);try {XContentBuilder builder = XContentFactory.jsonBuilder().startObject().field("title",title).endObject();updateRequest.doc(builder);UpdateResponse response = this.client.update(updateRequest).get();return new ResponseEntity<String>(response.getResult().toString(), HttpStatus.OK);} catch (Exception e) {e.printStackTrace();return new ResponseEntity<String>(HttpStatus.INTERNAL_SERVER_ERROR);} }

head插件查看


复合查询

/*** 综合查询* @param title* @param author* @param gtWordCount* @param ltWordCount* @return*/@PostMapping("/book/novel/query")public ResponseEntity<List<Map<String, Object>>> query(@RequestParam(name="title",required=false)String title , @RequestParam(name="author",required=false)String author ,@RequestParam(name="gtWordCount",defaultValue="0") Integer gtWordCount ,@RequestParam(name="ltWordCount",required=false) Integer ltWordCount ) {BoolQueryBuilder boolQueryBuilder = new BoolQueryBuilder();if (title !=null) {boolQueryBuilder.must(QueryBuilders.matchQuery("title", title));}if (author !=null) {boolQueryBuilder.must(QueryBuilders.matchQuery("author", author));}RangeQueryBuilder rangeQueryBuilder = QueryBuilders.rangeQuery("word_count").from(gtWordCount);if (ltWordCount != null && ltWordCount > 0) {rangeQueryBuilder.to(ltWordCount);}// 关联boolQueryBuilder.filter(rangeQueryBuilder);SearchRequestBuilder builder = this.client.prepareSearch("book").setTypes("novel").setSearchType(SearchType.DFS_QUERY_THEN_FETCH).setQuery(boolQueryBuilder).setFrom(0).setSize(10);System.out.println("请求JSON数据:\n" + builder);SearchResponse response = builder.get();List<Map<String, Object>> list = new ArrayList<Map<String, Object>>();for(SearchHit searchHit : response.getHits()) {list.add(searchHit.getSource());}return new ResponseEntity<List<Map<String, Object>>>(list, HttpStatus.OK);}

看下控制台输出的

请求JSON数据:

{"from" : 0,"size" : 10,"query" : {"bool" : {"must" : [{"match" : {"title" : {"query" : "Elasticsearch","operator" : "OR","prefix_length" : 0,"max_expansions" : 50,"fuzzy_transpositions" : true,"lenient" : false,"zero_terms_query" : "NONE","boost" : 1.0}}}],"filter" : [{"range" : {"word_count" : {"from" : 500,"to" : null,"include_lower" : true,"include_upper" : true,"boost" : 1.0}}}],"disable_coord" : false,"adjust_pure_negative" : true,"boost" : 1.0}} }

使用postman测试下 ,返回了3条数据,符合预期。


其他

上面通过代码实现了数据的CRUD操作,那么我们把多索引和type的操作也尝试写下吧

工具类

package com.artisan.utils;import javax.annotation.PostConstruct;import org.elasticsearch.action.admin.indices.create.CreateIndexResponse; import org.elasticsearch.action.admin.indices.delete.DeleteIndexResponse; import org.elasticsearch.action.admin.indices.exists.indices.IndicesExistsRequest; import org.elasticsearch.action.admin.indices.exists.indices.IndicesExistsResponse; import org.elasticsearch.client.transport.TransportClient; import org.slf4j.Logger; import org.slf4j.LoggerFactory; import org.springframework.beans.factory.annotation.Autowired; import org.springframework.stereotype.Component;@Component public class ESUtil {private static final Logger logger = LoggerFactory.getLogger(ESUtil.class);@Autowiredprivate TransportClient transportClient;private static TransportClient client;@PostConstructpublic void init() {client = this.transportClient;}/*** 创建索引** @param index* @return*/public static boolean createIndex(String index) {if (!isIndexExist(index)) {logger.info("Index is not exits!");CreateIndexResponse indexresponse = client.admin().indices().prepareCreate(index).execute().actionGet();logger.info("执行建立成功?" + indexresponse.isAcknowledged());return indexresponse.isAcknowledged();}return false;}/*** 删除索引** @param index* @return*/public static boolean deleteIndex(String index) {if (!isIndexExist(index)) {logger.info("Index is not exits!");}DeleteIndexResponse dResponse = client.admin().indices().prepareDelete(index).execute().actionGet();if (dResponse.isAcknowledged()) {logger.info("delete index " + index + " successfully!");} else {logger.info("Fail to delete index " + index);}return dResponse.isAcknowledged();}/*** 判断索引是否存在** @param index* @return*/public static boolean isIndexExist(String index) {IndicesExistsResponse inExistsResponse = client.admin().indices().exists(new IndicesExistsRequest(index)).actionGet();if (inExistsResponse.isExists()) {logger.info("Index [" + index + "] is exist!");} else {logger.info("Index [" + index + "] is not exist!");}return inExistsResponse.isExists();}/*** 判断index下指定type是否存在* * @param index* @param type* @return*/public static boolean isTypeExist(String index, String type) {return isIndexExist(index)? client.admin().indices().prepareTypesExists(index).setTypes(type).execute().actionGet().isExists(): false;}}

新建索引

@SuppressWarnings({ "rawtypes", "unchecked" })@PostMapping("/index/create")public ResponseEntity create(String index){if (ESUtil.createIndex(index)) {return new ResponseEntity(Boolean.TRUE,HttpStatus.OK);}else {return new ResponseEntity(HttpStatus.FOUND);}}

测试

head查看下


删除索引

@SuppressWarnings({ "rawtypes", "unchecked" })@PostMapping("/index/delete")public ResponseEntity deleteIndex(String index){if (ESUtil.deleteIndex(index)) {return new ResponseEntity(Boolean.TRUE,HttpStatus.OK);}else {return new ResponseEntity(HttpStatus.NOT_FOUND);}}

测试下

head查看,已经删除成功


判断index中某个type是否存在

@SuppressWarnings({ "rawtypes", "unchecked" })@PostMapping("/index/isTypeExist")public ResponseEntity isTypeExist(String index,String type){if (ESUtil.isTypeExist(index,type)) {return new ResponseEntity(Boolean.TRUE,HttpStatus.OK);}else {return new ResponseEntity(HttpStatus.NOT_FOUND);}}

测试一下


spring-data-elasticsearch 操作ES

https://docs.spring.io/spring-data/


我们也可以用Spring给我们提供的封装好的 ElasticsearchTemplate 更方便的操作ES,这里我就不演示了,和data jpa操作很像,比较简单。

https://spring.io/projects/spring-data-elasticsearch

https://github.com/spring-projects/spring-data-elasticsearch


如果也是使用spring boot集成的话,就用 spring-boot-starter-data-elasticsearch 这个maven的依赖,带有starter的这种。


代码

Github: https://github.com/yangshangwei/springBootElasticSearch

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