目录

1.添加关于elasticsearch的依赖:

2.application.yml配置关于es连接信息

3.定义数据的model对象:

4.定义接口,继承ElasticsearchRepository

5.定义业务操作接口

6.具体的业务实现

7.定义接口controller

8.启动服务,测试效果

9.备注


上一篇文章简单的介绍了elasticsearch,下面重点展示springboot整合es的方式:本文使用springboot自身的依赖来实现:

为了数据查看的方便,我们使用elasticsearch-head-master页面插件来查看数据,当然,也可以使用kibana进行查看;

项目版本信息:

elasticsearch:5.6.0

springboot:2.1.4.RELEASE

下面是具体的编码示例:

1.添加关于elasticsearch的依赖:

<dependency>
   <groupId>org.springframework.boot</groupId>
   <artifactId>spring-boot-starter-data-elasticsearch</artifactId>
</dependency>

 

2.application.yml配置关于es连接信息

spring:
  data:
    elasticsearch:
      cluster-name: elasticsearch
      # Java连接es需要用端口号9300
      cluster-nodes: localhost:9300
      repositories:
        enabled: true

3.定义数据的model对象:

我们往ES中添加书本的一些简单信息

package com.demo.elasticsearch.elasticsearch;

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;

@Data
@NoArgsConstructor
@AllArgsConstructor
@Document(indexName = "book",type = "doc",shards = 5,replicas = 1)
public class Book {

    @Id
    private String id;

    /**
     * 中文分词设置,前提是您的es已经安装了中文分词ik插件
     * 中文分词有两种形式:
     * ik_max_word:会将文本做最细粒度的拆分
     * ik_smart:会将文本做最粗粒度的拆分
     */
    @Field(type = FieldType.Text, analyzer = "ik_max_word",searchAnalyzer ="ik_max_word")
    private String title;

    private String author;

    private String postDate;

}

4.定义接口,继承ElasticsearchRepository

package com.demo.elasticsearch.elasticsearch;

import org.springframework.data.domain.Page;
import org.springframework.data.domain.Pageable;
import org.springframework.data.elasticsearch.repository.ElasticsearchRepository;

public interface BookRepository extends ElasticsearchRepository<Book,String> {

    // 根据作者名称查询书包集合
    Page<Book> findByAuthor(String author, Pageable pageable);

}

5.定义业务操作接口

public interface BookService {

    Optional<Book> findById(String id);

    Book save(Book blog);

    void delete(Book blog);

    Optional<Book> findOne(String id);

    List<Book> findAll();

    // 根据作者查询
    Page<Book> findByAuthor(String author, PageRequest pageRequest);

    // 根据书的主题中某个字段查询
    Result findByTitle(String author);
}

6.具体的业务实现

package com.demo.elasticsearch.service.impl;

import com.demo.elasticsearch.dto.Result;
import com.demo.elasticsearch.elasticsearch.Book;
import com.demo.elasticsearch.elasticsearch.BookRepository;
import com.demo.elasticsearch.service.BookService;
import lombok.extern.slf4j.Slf4j;
import org.springframework.beans.factory.annotation.Autowired;
import org.springframework.data.domain.Page;
import org.springframework.data.domain.PageRequest;
import org.springframework.data.elasticsearch.core.ElasticsearchTemplate;
import org.springframework.data.elasticsearch.core.query.StringQuery;
import org.springframework.stereotype.Service;

import java.util.List;
import java.util.Optional;


@Slf4j
@Service
public class BookServiceImpl implements BookService {

    @Autowired
    private BookRepository bookRepository;

    @Autowired
    ElasticsearchTemplate elasticsearchTemplate;

    @Override
    public Optional<Book> findById(String id) {
        return bookRepository.findById(id);
    }

    @Override
    public Book save(Book book) {
        return bookRepository.save(book);
    }

    @Override
    public void delete(Book book) {
        bookRepository.delete(book);
    }

    @Override
    public Optional<Book> findOne(String id) {
        return bookRepository.findById(id);
    }

    @Override
    public List<Book> findAll() {
        return (List<Book>)bookRepository.findAll();
    }

    /**
     *  根据作者字段查询
     * @param author
     * @param pageRequest
     * @return
     */
    @Override
    public Page<Book> findByAuthor(String author, PageRequest pageRequest) {
        return bookRepository.findByAuthor(author,pageRequest);
    }


    // 前几种都是通过bookRepository去操作,其有一定的局限性,下面这种方法是通过具拼接查询语句的形式实现,方便各种精确,模糊匹配查询
    /**
     *  根据书的主题查询
     * @param title
     * @return
     */
    @Override
    public Result findByTitle(String title) {
        log.info("");
        String json = "{\n" +
                "        \"match\" : {\n" +
                "            \"title\" : " + "\"" + title + "\"\n"+
                "        }\n" +
                "    }";
        log.info("hql语句格式==={}",json);

        // 创建es查询请求
        StringQuery query = new StringQuery(json);
        query.addIndices("book"); // 添加index
        query.addTypes("doc"); // 添加type

        List<Book> books = elasticsearchTemplate.queryForList(query, Book.class);

        return Result.ok(books);
    }


}

7.定义接口controller

package com.demo.elasticsearch.controller;

import com.demo.elasticsearch.dto.Result;
import com.demo.elasticsearch.elasticsearch.Book;
import com.demo.elasticsearch.service.BookService;
import io.swagger.annotations.Api;
import io.swagger.annotations.ApiOperation;
import lombok.extern.slf4j.Slf4j;
import org.springframework.beans.factory.annotation.Autowired;
import org.springframework.data.domain.Page;
import org.springframework.data.domain.PageRequest;
import org.springframework.data.elasticsearch.core.ElasticsearchTemplate;
import org.springframework.data.repository.query.Param;
import org.springframework.http.MediaType;
import org.springframework.web.bind.annotation.*;

import java.util.List;
import java.util.Optional;


@Api(tags = "ES测试模块")
@RestController
@Slf4j
@RequestMapping("/book")
public class ElasticSearchController {

    @Autowired
    private BookService bookService;

    @Autowired
    private ElasticsearchTemplate elasticsearchTemplate;

    @ApiOperation(value = "创建索引",notes = "创建索引")
    @PostMapping("/create")
    public Result createIndex(){
        log.info("创建索引");
        boolean index = elasticsearchTemplate.createIndex(Book.class);
        return Result.ok(index);
    }

    @ApiOperation(value = "插入数据",notes = "插入数据")
    @PostMapping("/save")
    public Result Save(@RequestBody Book book) {
        log.info("插入数据的入参==={}",book.toString());
        Book save = bookService.save(book);
        return Result.ok("新增数据成功");
    }

    @ApiOperation(value = "根据id查询",notes = "根据id查询")
    @PostMapping("/id")
    public Result getBookById(@RequestBody Book request) {
        log.info("根据id查询入参=={}",request.toString());
        Optional<Book> opt = bookService.findById(request.getId());
        Book book = opt.get();
        log.info("根据id查询的结果==={}",book.toString());
        return Result.ok(book);
    }

    @ApiOperation(value = "根据作者名字段查询",notes = "根据作者名字段查询")
    @PostMapping("/author")
    public Result getBookByAuthor(@RequestBody Book request) {
        log.info("根据作者精确查询入参=={}",request.toString());
        PageRequest pageRequest = new PageRequest(0,2);
        Page<Book> byAuthor = bookService.findByAuthor(request.getAuthor(), pageRequest);
        List<Book> content = byAuthor.getContent();
        log.info("根据id查询的结果==={}",byAuthor.toString());
        return Result.ok(content);
    }

    @ApiOperation(value = "根据书主题字段查询",notes = "根据书主题字段查询")
    @PostMapping("/title")
    public Result getBookByTitle(@RequestBody Book request) {
        log.info("根据书主题字段查询入参=={}",request.toString());
        Result byTitle = bookService.findByTitle(request.getTitle());
        return Result.ok(byTitle);
    }

}

8.启动服务,测试效果

8.1:首先我们调用创建索引的接口:/book/create,如果执行成功,我们可以看到红圈中的book索引,说明索引创建成功;

springboot 连接 es es结合springboot项目_Elastic

8.2:我们往其中插入一些数据:方便后续查询使用:通过head插件的查询url: http://localhost:9200/book/_search,以表格视图的格式展示,数据如下:

springboot 连接 es es结合springboot项目_elasticsearch_02

8.3:通过作者查询:查询作者中有tom字段的书本

springboot 连接 es es结合springboot项目_elasticsearch_03

8.4:通过title查询:该方法的serviceImpl是通过拼接查询语句的方式,和查询作者的方式有所区别:

springboot 连接 es es结合springboot项目_spring_04

 

9.备注

本文只是展示了springboot整合Elasticsearch最基本的使用方式,实际项目中,为了满足各种使用场景,可能会对查询语句进行单独的设计和封装,以此满足复杂的查询匹配条件。

想要该问介绍项目源码的可以访问地址:https://github.com/yangshilei/springCloud.git

如果觉得head用的不过瘾的,可以使用kibana进行查询,效果差不多,但是kibana用途远不止于此!

springboot 连接 es es结合springboot项目_elasticsearch_05

 

好了,今天就介绍那么多了,不想写了,睡觉充电去!