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es模糊查询 java,Spring Boot 集成 ElasticSearch 实现模糊搜索 | 文末签到福利

java查询模糊搜索

原标题:Spring Boot 集成 ElasticSearch 实现模糊搜索 | 文末签到福利

作者:王帅@CodeSheep

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实验环境

ES 版本:5.3.0

Spring Boot 版本:1.5.9

首先当然需要安装好 Elastic Search 环境,最好再安装上可视化插件 elasticsearch-head来便于我们直观地查看数据。

当然这部分可以参考本人的帖子:《centos7 上 elastic search安装填坑记》https://www.jianshu.com/p/04f4d7b4a1d3

我的ES安装在http://113.209.119.170:9200/ 这个地址(该地址需要配到springboot项目中去)

Spring工程创建

这部分没有特殊要交代的,但有几个注意点一定要当心

注意在新建项目时记得勾选web和NoSQL中的Elasticsearch依赖,来张图说明一下吧:

941cb15d8eb8d77f0044a5e88c7c70bf.png

项目自动生成以后pom.xml中会自动添加 spring-boot-starter-data-elasticsearch的依赖:

spring-boot-starter-data-elasticsearch

本项目中我们使用开源的基于restful的es java客户端 jest,所以还需要在pom.xml中添加 jest依赖:

io.searchbox

jest

除此之外还必须添加 jna的依赖:

net.java.dev.jna

jna

否则启动spring项目的时候会报 JNAnotfound.nativemethods will be disabled.的错误:

f3a4b7b4b380694f451a79b729a9c081.png

项目的配置文件application.yml中需要把es服务器地址配置对

server:

port: 6325

spring:

elasticsearch:

jest:

uris:

- http://113.209.119.170:9200 # ES服务器的地址!

read-timeout: 5000代码组织

我的项目代码组织如下:

a93c539e6d42b95b87d91dfd02dde61f.png

各部分代码详解如下,注释都有:

Entity.java

package com.hansonwang99.springboot_es_demo.entity;

import java.io.Serializable;

import org.springframework.data.elasticsearch.annotations.Document;

public class Entity implements Serializable{

private static final long serialVersionUID = -763638353551774166L;

public static final String INDEX_NAME = "index_entity";

public static final String TYPE = "tstype";

private Long id;

private String name;

public Entity() {

super();

}

public Entity(Long id, String name) {

this.id = id;

this.name = name;

}

public Long getId() {

return id;

}

public void setId(Long id) {

this.id = id;

}

public String getName() {

return name;

}

public void setName(String name) {

this.name = name;

}

}

TestService.java

package com.hansonwang99.springboot_es_demo.service;

import com.hansonwang99.springboot_es_demo.entity.Entity;

import java.util.List;

public interface TestService {

void saveEntity(Entity entity);

void saveEntity(List entityList);

List searchEntity(String searchContent);

}

TestServiceImpl.java

package com.hansonwang99.springboot_es_demo.service.impl;

import java.io.IOException;

import java.util.List;

import com.hansonwang99.springboot_es_demo.entity.Entity;

import com.hansonwang99.springboot_es_demo.service.TestService;

import org.elasticsearch.index.query.QueryBuilders;

import org.elasticsearch.search.builder.SearchSourceBuilder;

import org.slf4j.Logger;

import org.slf4j.LoggerFactory;

import org.springframework.beans.factory.annotation.Autowired;

import org.springframework.stereotype.Service;

import io.searchbox.client.JestClient;

import io.searchbox.client.JestResult;

import io.searchbox.core.Bulk;

import io.searchbox.core.Index;

import io.searchbox.core.Search;

@Service

public class TestServiceImpl implements TestService {

private static final Logger LOGGER = LoggerFactory.getLogger(TestServiceImpl.class);

@Autowired

private JestClient jestClient;

@Override

public void saveEntity(Entity entity) {

Index index = new Index.Builder(entity).index(Entity.INDEX_NAME).type(Entity.TYPE).build();

try {

jestClient.execute(index);

LOGGER.info("ES 插入完成");

} catch (IOException e) {

e.printStackTrace();

LOGGER.error(e.getMessage());

}

}

/**

* 批量保存内容到ES

*/

@Override

public void saveEntity(List entityList) {

Bulk.Builder bulk = new Bulk.Builder();

for(Entity entity : entityList) {

Index index = new Index.Builder(entity).index(Entity.INDEX_NAME).type(Entity.TYPE).build();

bulk.addAction(index);

}

try {

jestClient.execute(bulk.build());

LOGGER.info("ES 插入完成");

} catch (IOException e) {

e.printStackTrace();

LOGGER.error(e.getMessage());

}

}

/**

* 在ES中搜索内容

*/

@Override

public List searchEntity(String searchContent){

SearchSourceBuilder searchSourceBuilder = new SearchSourceBuilder();

//searchSourceBuilder.query(QueryBuilders.queryStringQuery(searchContent));

//searchSourceBuilder.field("name");

searchSourceBuilder.query(QueryBuilders.matchQuery("name",searchContent));

Search search = new Search.Builder(searchSourceBuilder.toString())

.addIndex(Entity.INDEX_NAME).addType(Entity.TYPE).build();

try {

JestResult result = jestClient.execute(search);

return result.getSourceAsObjectList(Entity.class);

} catch (IOException e) {

LOGGER.error(e.getMessage());

e.printStackTrace();

}

return null;

}

}

EntityController.java

package com.hansonwang99.springboot_es_demo.controller;

import java.util.ArrayList;

import java.util.List;

import com.hansonwang99.springboot_es_demo.entity.Entity;

import com.hansonwang99.springboot_es_demo.service.TestService;

import org.apache.commons.lang.StringUtils;

import org.springframework.beans.factory.annotation.Autowired;

import org.springframework.web.bind.annotation.RequestMethod;

@RestController

@RequestMapping("/entityController")

public class EntityController {

@Autowired

TestService cityESService;

@RequestMapping(value="/save", method=RequestMethod.GET)

public String save(long id, String name) {

System.out.println("save 接口");

if(id>0 && StringUtils.isNotEmpty(name)) {

Entity newEntity = new Entity(id,name);

List addList = new ArrayList();

addList.add(newEntity);

cityESService.saveEntity(addList);

return "OK";

}else {

return "Bad input value";

}

}

@RequestMapping(value="/search", method=RequestMethod.GET)

public List save(String name) {

List entityList = null;

if(StringUtils.isNotEmpty(name)) {

entityList = cityESService.searchEntity(name);

}

return entityList;

}

}实际实验

增加几条数据,可以使用postman工具,也可以直接在浏览器中输入,如增加以下5条数据:

http://localhost:6325/entityController/save?id=1&name=南京中山陵

http://localhost:6325/entityController/save?id=2&name=中国南京师范大学

http://localhost:6325/entityController/save?id=3&name=南京夫子庙

http://localhost:6325/entityController/save?id=4&name=杭州也非常不错

http://localhost:6325/entityController/save?id=5&name=中国南边好像没有叫带京字的城市了

数据插入效果如下(使用可视化插件elasticsearch-head观看):

c08cfacee7db7109915a817aef12922b.png

我们来做一下搜索的测试:例如我要搜索关键字“南京”我们在浏览器中输入:

http://localhost:6325/entityController/search?name=南京

搜索结果如下:

64e17dd0a88c81ac40d34c8b876326be.png

刚才插入的5条记录中包含关键字“南京”的四条记录均被搜索出来了!

当然这里用的是standard分词方式,将每个中文都作为了一个term,凡是包含“南”、“京”关键字的记录都被搜索了出来,只是评分不同而已,当然还有其他的一些分词方式,此时需要其他分词插件的支持,此处暂不涉及,后文中再做探索。

由于能力有限,若有错误或者不当之处,还请大家批评指正,一起学习交流!

-The End-

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