【Elasticsearch-Java】Java客户端搭建

Elasticsearch Java高级客户端

 

1.  概述

Java REST Client 有两种风格：

• Java Low Level REST Client ：用于Elasticsearch的官方低级客户端。它允许通过http与Elasticsearch集群通信。将请求编排和响应反编排留给用户自己处理。它兼容所有的Elasticsearch版本。（PS：学过WebService的话，对编排与反编排这个概念应该不陌生。可以理解为对请求参数的封装，以及对响应结果的解析）
• Java High Level REST Client ：用于Elasticsearch的官方高级客户端。它是基于低级客户端的，它提供很多API，并负责请求的编排与响应的反编排。（PS：就好比是，一个是传自己拼接好的字符串，并且自己解析返回的结果；而另一个是传对象，返回的结果也已经封装好了，直接是对象，更加规范了参数的名称以及格式，更加面对对象一点）

（PS：所谓低级与高级，我觉得一个很形象的比喻是，面向过程编程与面向对象编程）

在 Elasticsearch 7.0 中不建议使用TransportClient，并且在8.0中会完全删除TransportClient。因此，官方更建议我们用Java High Level REST Client，它执行HTTP请求，而不是序列号的Java请求。既然如此，这里就直接用高级了。

2.  Java High Level REST Client （高级REST客户端）

2.1.  Maven仓库

<dependency>
    <groupId>org.elasticsearch.client</groupId>
    <artifactId>elasticsearch-rest-high-level-client</artifactId>
    <version>6.5.4</version>
</dependency>

2.2.  依赖

• org.elasticsearch.client:elasticsearch-rest-client
• org.elasticsearch:elasticsearch

2.3.  初始化

RestHighLevelClient client = new RestHighLevelClient(
        RestClient.builder(
                new HttpHost("localhost", 9200, "http"),
                new HttpHost("localhost", 9201, "http")));

高级客户端内部会创建低级客户端用于基于提供的builder执行请求。低级客户端维护一个连接池，并启动一些线程，因此当你用完以后应该关闭高级客户端，并且在内部它将会关闭低级客户端，以释放这些资源。关闭客户端可以使用close()方法：

client.close();

2.4.  文档API

2.4.1.  添加文档

IndexRequest

IndexRequest request = new IndexRequest("posts", "doc", "1");
String jsonString = "{\"user\":\"kimchy\",\"postDate\":\"2013-01-30\",\"message\":\"trying out Elasticsearch\"}";
request.source(jsonString, XContentType.JSON);

提供文档source的方式还有很多，比如：

通过Map的方式提供文档source

通过XContentBuilder方式提供source

通过Object的方式（键值对）提供source

可选参数

同步执行

异步执行

你也可以异步执行 IndexRequest，为此你需要指定一个监听器来处理这个异步响应结果：

一个典型的监听器看起来是这样的：

IndexResponse

如果有版本冲突，将会抛出ElasticsearchException

同样的异常也有可能发生在当opType设置为create的时候，且相同索引、相同类型、相同ID的文档已经存在时。例如：

2.4.2.  查看文档

Get Request

可选参数

同步执行

异步执行

Get Response

当索引不存在，或者指定的文档的版本不存在时，响应状态吗是404，并且抛出ElasticsearchException

2.4.3.  文档是否存在

2.4.4.  删除文档

Delete Request

可选参数

同添加

2.5.  搜索API

Search Request

基本格式是这样的：

大多数查询参数被添加到 SearchSourceBuilder

可选参数

SearchSourceBuilder

控制检索行为的大部分选项都可以在SearchSourceBuilder中设置。下面是一个常见选项的例子：

在这个例子中，我们首先创建了一个SearchSourceBuilder对象，并且带着默认选项。然后设置了一个term查询，接着设置检索的位置和数量，最后设置超时时间

在设置完这些选项以后，我们只需要把SearchSourceBuilder加入到SearchRequest中即可

构建Query

用QueryBuilder来创建Serarch Query。QueryBuilder支持Elasticsearch DSL中每一种Query

例如：

还可以通过QueryBuilders工具类来创建QueryBuilder对象，例如：

无论是用哪种方式创建，最后一定要把QueryBuilder添加到SearchSourceBuilder中

排序

SearchSourceBuilder 可以添加一个或多个 SortBuilder

SortBuilder有四种实现：FieldSortBuilder、GeoDistanceSortBuilder、ScoreSortBuilder、ScriptSortBuilder

聚集函数

同步执行

异步执行

从查询响应中取出文档

3.  示例

3.1.  准备数据

3.1.1.  安装IK分词器插件

./bin/elasticsearch-plugin install https://github.com/medcl/elasticsearch-analysis-ik/releases/download/v6.5.4/elasticsearch-analysis-ik-6.5.4.zip

3.1.2.  创建索引

curl -X PUT "localhost:9200/book" -H 'Content-Type: application/json' -d'
{
    "mappings":{
        "_doc":{
            "properties":{
                "id":{
                    "type":"integer"
                },
                "name":{
                    "type":"text",
                    "analyzer":"ik_max_word",
                    "search_analyzer":"ik_max_word"
                },
                "author":{
                    "type":"text",
                    "analyzer":"ik_max_word",
                    "search_analyzer":"ik_max_word"
                },
                "category":{
                    "type":"integer"
                },
                "price":{
                    "type":"double"
                },
                "status":{
                    "type":"short"
                },
                "sellReason":{
                    "type":"text",
                    "analyzer":"ik_max_word",
                    "search_analyzer":"ik_max_word"
                },
                "sellTime":{
                    "type":"date",
                    "format":"yyyy-MM-dd"
                }
            }
        }
    }
}
'

3.1.3.  数据预览

3.2.  示例代码

3.2.1.  完整的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>2.1.1.RELEASE</version>
        <relativePath/> <!-- lookup parent from repository -->
    </parent>
    <groupId>com.cjs.example</groupId>
    <artifactId>elasticsearch-demo</artifactId>
    <version>0.0.1-SNAPSHOT</version>
    <name>elasticsearch-demo</name>
    <description></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.springframework.boot</groupId>
            <artifactId>spring-boot-starter-thymeleaf</artifactId>
        </dependency>

        <dependency>
            <groupId>org.elasticsearch.client</groupId>
            <artifactId>elasticsearch-rest-high-level-client</artifactId>
            <version>6.5.4</version>
        </dependency>

        <dependency>
            <groupId>org.apache.commons</groupId>
            <artifactId>commons-lang3</artifactId>
            <version>3.8</version>
        </dependency>
        <dependency>
            <groupId>com.alibaba</groupId>
            <artifactId>fastjson</artifactId>
            <version>1.2.54</version>
        </dependency>
        <dependency>
            <groupId>ch.qos.logback</groupId>
            <artifactId>logback-core</artifactId>
            <version>1.2.3</version>
        </dependency>
        <dependency>
            <groupId>org.projectlombok</groupId>
            <artifactId>lombok</artifactId>
            <optional>true</optional>
        </dependency>
        <dependency>
            <groupId>org.springframework.boot</groupId>
            <artifactId>spring-boot-starter-test</artifactId>
            <scope>test</scope>
        </dependency>
    </dependencies>

    <build>
        <plugins>
            <plugin>
                <groupId>org.springframework.boot</groupId>
                <artifactId>spring-boot-maven-plugin</artifactId>
            </plugin>
        </plugins>
    </build>

</project>

3.2.2.  配置

package com.cjs.example.elasticsearch.config;

import org.apache.http.HttpHost;
import org.elasticsearch.client.RestClient;
import org.elasticsearch.client.RestHighLevelClient;
import org.springframework.context.annotation.Bean;
import org.springframework.context.annotation.Configuration;

/**
 * @author ChengJianSheng
 * @date 2019-01-07
 */
@Configuration
public class ElasticsearchClientConfig {

    @Bean
    public RestHighLevelClient restHighLevelClient() {
        RestHighLevelClient client = new RestHighLevelClient(
                RestClient.builder(
                        new HttpHost("localhost", 9200, "http")));
        return client;
    }

}

3.2.3.  domain

package com.cjs.example.elasticsearch.domain.model;

import lombok.Data;

import java.io.Serializable;

/**
 * 图书
 * @author ChengJianSheng
 * @date 2019-01-07
 */
@Data
public class BookModel implements Serializable {

    private Integer id;         //  图书ID

    private String name;        //  图书名称

    private String author;      //  作者

    private Integer category;   //  图书分类

    private Double price;       //  图书价格

    private String sellReason;  //  上架理由

    private String sellTime;      //  上架时间

    private Integer status;     //  状态（1：可售，0：不可售）

}

3.2.4.  Controller

package com.cjs.example.elasticsearch.controller;

import com.alibaba.fastjson.JSON;
import com.cjs.example.elasticsearch.domain.common.BaseResult;
import com.cjs.example.elasticsearch.domain.common.Page;
import com.cjs.example.elasticsearch.domain.model.BookModel;
import com.cjs.example.elasticsearch.domain.vo.BookRequestVO;
import com.cjs.example.elasticsearch.service.BookService;
import lombok.extern.slf4j.Slf4j;
import org.springframework.beans.factory.annotation.Autowired;
import org.springframework.web.bind.annotation.*;

/**
 * 文档操作
 * @author ChengJianSheng
 * @date 2019-01-07
 */
@Slf4j
@RestController
@RequestMapping("/book")
public class BookController {

    @Autowired
    private BookService bookService;

    /**
     * 列表分页查询
     */
    @GetMapping("/list")
    public BaseResult list(BookRequestVO bookRequestVO) {
        Page<BookModel> page = bookService.list(bookRequestVO);
        if (null == page) {
            return BaseResult.error();
        }
        return BaseResult.ok(page);
    }

    /**
     * 查看文档
     */
    @GetMapping("/detail")
    public BaseResult detail(Integer id) {
        if (null == id) {
            return BaseResult.error("ID不能为空");
        }
        BookModel book = bookService.detail(id);
        return BaseResult.ok(book);
    }

    /**
     * 添加文档
     */
    @PostMapping("/add")
    public BaseResult add(@RequestBody BookModel bookModel) {
        bookService.save(bookModel);
        log.info("插入文档成功！请求参数: {}", JSON.toJSONString(bookModel));
        return BaseResult.ok();
    }

    /**
     * 修改文档
     */
    @PostMapping("/update")
    public BaseResult update(@RequestBody BookModel bookModel) {
        Integer id = bookModel.getId();
        if (null == id) {
            return BaseResult.error("ID不能为空");
        }
        BookModel book = bookService.detail(id);
        if (null == book) {
            return BaseResult.error("记录不存在");
        }
        bookService.update(bookModel);
        log.info("更新文档成功！请求参数: {}", JSON.toJSONString(bookModel));
        return BaseResult.ok();
    }

    /**
     * 删除文档
     */
    @GetMapping("/delete")
    public BaseResult delete(Integer id) {
        if (null == id) {
            return BaseResult.error("ID不能为空");
        }
        bookService.delete(id);
        return BaseResult.ok();
    }

}

3.2.5.  Service

package com.cjs.example.elasticsearch.service.impl;

import com.alibaba.fastjson.JSON;
import com.cjs.example.elasticsearch.domain.common.Page;
import com.cjs.example.elasticsearch.domain.model.BookModel;
import com.cjs.example.elasticsearch.domain.vo.BookRequestVO;
import com.cjs.example.elasticsearch.service.BookService;
import lombok.extern.slf4j.Slf4j;
import org.apache.commons.lang3.StringUtils;
import org.elasticsearch.action.ActionListener;
import org.elasticsearch.action.DocWriteResponse;
import org.elasticsearch.action.delete.DeleteRequest;
import org.elasticsearch.action.delete.DeleteResponse;
import org.elasticsearch.action.get.GetRequest;
import org.elasticsearch.action.get.GetResponse;
import org.elasticsearch.action.index.IndexRequest;
import org.elasticsearch.action.index.IndexResponse;
import org.elasticsearch.action.search.SearchRequest;
import org.elasticsearch.action.search.SearchResponse;
import org.elasticsearch.action.support.replication.ReplicationResponse;
import org.elasticsearch.action.update.UpdateRequest;
import org.elasticsearch.action.update.UpdateResponse;
import org.elasticsearch.client.RequestOptions;
import org.elasticsearch.client.RestHighLevelClient;
import org.elasticsearch.common.unit.TimeValue;
import org.elasticsearch.index.query.BoolQueryBuilder;
import org.elasticsearch.index.query.QueryBuilders;
import org.elasticsearch.rest.RestStatus;
import org.elasticsearch.search.SearchHit;
import org.elasticsearch.search.SearchHits;
import org.elasticsearch.search.builder.SearchSourceBuilder;
import org.elasticsearch.search.sort.FieldSortBuilder;
import org.elasticsearch.search.sort.SortOrder;
import org.springframework.beans.factory.annotation.Autowired;
import org.springframework.stereotype.Service;
import org.springframework.util.CollectionUtils;

import java.io.IOException;
import java.util.*;
import java.util.stream.Collectors;

/**
 * @author ChengJianSheng
 * @date 2019-01-07
 */
@Slf4j
@Service
public class BookServiceImpl implements BookService {

    private static final String INDEX_NAME = "book";
    private static final String INDEX_TYPE = "_doc";

    @Autowired
    private RestHighLevelClient client;

    @Override
    public Page<BookModel> list(BookRequestVO bookRequestVO) {
        int pageNo = bookRequestVO.getPageNo();
        int pageSize = bookRequestVO.getPageSize();

        SearchSourceBuilder sourceBuilder = new SearchSourceBuilder();
        sourceBuilder.from(pageNo - 1);
        sourceBuilder.size(pageSize);
        sourceBuilder.sort(new FieldSortBuilder("id").order(SortOrder.ASC));
//        sourceBuilder.query(QueryBuilders.matchAllQuery());

        BoolQueryBuilder boolQueryBuilder = QueryBuilders.boolQuery();

        if (StringUtils.isNotBlank(bookRequestVO.getName())) {
            boolQueryBuilder.must(QueryBuilders.matchQuery("name", bookRequestVO.getName()));
        }
        if (StringUtils.isNotBlank(bookRequestVO.getAuthor())) {
            boolQueryBuilder.must(QueryBuilders.matchQuery("author", bookRequestVO.getAuthor()));
        }
        if (null != bookRequestVO.getStatus()) {
            boolQueryBuilder.must(QueryBuilders.termQuery("status", bookRequestVO.getStatus()));
        }
        if (StringUtils.isNotBlank(bookRequestVO.getSellTime())) {
            boolQueryBuilder.must(QueryBuilders.termQuery("sellTime", bookRequestVO.getSellTime()));
        }
        if (StringUtils.isNotBlank(bookRequestVO.getCategories())) {
            String[] categoryArr = bookRequestVO.getCategories().split(",");
            List<Integer> categoryList = Arrays.asList(categoryArr).stream().map(e->Integer.valueOf(e)).collect(Collectors.toList());
            BoolQueryBuilder categoryBoolQueryBuilder = QueryBuilders.boolQuery();
            for (Integer category : categoryList) {
                categoryBoolQueryBuilder.should(QueryBuilders.termQuery("category", category));
            }
            boolQueryBuilder.must(categoryBoolQueryBuilder);
        }

        sourceBuilder.query(boolQueryBuilder);

        SearchRequest searchRequest = new SearchRequest();
        searchRequest.indices(INDEX_NAME);
        searchRequest.source(sourceBuilder);

        try {
            SearchResponse searchResponse = client.search(searchRequest, RequestOptions.DEFAULT);

            RestStatus restStatus = searchResponse.status();
            if (restStatus != RestStatus.OK) {
                return null;
            }

            List<BookModel> list = new ArrayList<>();
            SearchHits searchHits = searchResponse.getHits();
            for (SearchHit hit : searchHits.getHits()) {
                String source = hit.getSourceAsString();
                BookModel book = JSON.parseObject(source, BookModel.class);
                list.add(book);
            }

            long totalHits = searchHits.getTotalHits();

            Page<BookModel> page = new Page<>(pageNo, pageSize, totalHits, list);

            TimeValue took = searchResponse.getTook();
            log.info("查询成功！请求参数: {}, 用时{}毫秒", searchRequest.source().toString(), took.millis());

            return page;
        } catch (IOException e) {
            log.error("查询失败！原因: {}", e.getMessage(), e);
        }

        return null;
    }

    @Override
    public void save(BookModel bookModel) {
        Map<String, Object> jsonMap = new HashMap<>();
        jsonMap.put("id", bookModel.getId());
        jsonMap.put("name", bookModel.getName());
        jsonMap.put("author", bookModel.getAuthor());
        jsonMap.put("category", bookModel.getCategory());
        jsonMap.put("price", bookModel.getPrice());
        jsonMap.put("sellTime", bookModel.getSellTime());
        jsonMap.put("sellReason", bookModel.getSellReason());
        jsonMap.put("status", bookModel.getStatus());

        IndexRequest indexRequest = new IndexRequest(INDEX_NAME, INDEX_TYPE, String.valueOf(bookModel.getId()));
        indexRequest.source(jsonMap);

        client.indexAsync(indexRequest, RequestOptions.DEFAULT, new ActionListener<IndexResponse>() {
            @Override
            public void onResponse(IndexResponse indexResponse) {
                String index = indexResponse.getIndex();
                String type = indexResponse.getType();
                String id = indexResponse.getId();
                long version = indexResponse.getVersion();

                log.info("Index: {}, Type: {}, Id: {}, Version: {}", index, type, id, version);

                if (indexResponse.getResult() == DocWriteResponse.Result.CREATED) {
                    log.info("写入文档");
                } else if (indexResponse.getResult() == DocWriteResponse.Result.UPDATED) {
                    log.info("修改文档");
                }
                ReplicationResponse.ShardInfo shardInfo = indexResponse.getShardInfo();
                if (shardInfo.getTotal() != shardInfo.getSuccessful()) {
                    log.warn("部分分片写入成功");
                }
                if (shardInfo.getFailed() > 0) {
                    for (ReplicationResponse.ShardInfo.Failure failure : shardInfo.getFailures()) {
                        String reason = failure.reason();
                        log.warn("失败原因: {}", reason);
                    }
                }
            }

            @Override
            public void onFailure(Exception e) {
                log.error(e.getMessage(), e);
            }
        });
    }

    @Override
    public void update(BookModel bookModel) {
        Map<String, Object> jsonMap = new HashMap<>();
        jsonMap.put("sellReason", bookModel.getSellReason());
        UpdateRequest request = new UpdateRequest(INDEX_NAME, INDEX_TYPE, String.valueOf(bookModel.getId()));
        request.doc(jsonMap);
        try {
            UpdateResponse updateResponse = client.update(request, RequestOptions.DEFAULT);
        } catch (IOException e) {
            log.error("更新失败！原因: {}", e.getMessage(), e);
        }
    }

    @Override
    public void delete(int id) {
        DeleteRequest request = new DeleteRequest(INDEX_NAME, INDEX_TYPE, String.valueOf(id));
        try {
            DeleteResponse deleteResponse = client.delete(request, RequestOptions.DEFAULT);
            if (deleteResponse.status() == RestStatus.OK) {
                log.info("删除成功！id: {}", id);
            }
        } catch (IOException e) {
            log.error("删除失败！原因: {}", e.getMessage(), e);
        }
    }

    @Override
    public BookModel detail(int id) {
        GetRequest getRequest = new GetRequest(INDEX_NAME, INDEX_TYPE, String.valueOf(id));
        try {
            GetResponse getResponse = client.get(getRequest, RequestOptions.DEFAULT);
            if (getResponse.isExists()) {
                String source = getResponse.getSourceAsString();
                BookModel book = JSON.parseObject(source, BookModel.class);
                return book;
            }
        } catch (IOException e) {
            log.error("查看失败！原因: {}", e.getMessage(), e);
        }
        return null;
    }
}

3.2.6.  页面

<!DOCTYPE html>
<html lang="zh">
<head>
    <meta charset="UTF-8">
    <title>图书列表</title>

    <link rel="stylesheet" href="/bootstrap-4/css/bootstrap.min.css">
    <link rel="stylesheet" href="/bootstrap-table/bootstrap-table.css">

    <script src="jquery-3.3.1.min.js"></script>
    <script src="/bootstrap-4/js/bootstrap.min.js"></script>
    <script src="/bootstrap-table/bootstrap-table.js"></script>
    <script src="/bootstrap-table/locale/bootstrap-table-zh-CN.js"></script>
    <script>
        $(function(){

            $('#table').bootstrapTable({
                url: '/book/list',
                method: 'get',
                sidePagination: 'server',
                responseHandler: function(res) {  // 加载服务器数据之前的处理程序，可以用来格式化数据。参数：res为从服务器请求到的数据。
                    var result = {};
                    result.total = res.data.totalCount;
                    result.rows = res.data.pageList;
                    return result;
                },
                pagination: true,
                pageSize: 3, // 初始PageSize
                queryParams: function(params) {
                    var req = {
                        pageSize: params.limit,
                        pageNo: params.offset + 1
                    };
                    return req;
                },
                striped: true,
                search: true,
                columns: [{
                    field: 'id',
                    title: 'ID'
                }, {
                    field: 'name',
                    title: '名称'
                }, {
                    field: 'author',
                    title: '作者'
                }, {
                    field: 'price',
                    title: '单价'
                }, {
                    field: 'sellTime',
                    title: '上架时间'
                }, {
                    field: 'status',
                    title: '状态',
                    formatter: function(value) {
                        if (value == 1) {
                            return '<span style="color: green">可售</span>';
                        } else {
                            return '<span style="color: red">不可售</span>';
                        }
                    }
                }, {
                    field: 'category',
                    title: '分类',
                    formatter: function(value) {
                        if (value == 10010) {
                            return '中国当代小说';
                        } else if (value == 10011) {
                            return '武侠小说';
                        } else if (value == 10012) {
                            return '爱情小说';
                        } else if (value == 10013) {
                            return '中国当代随笔';
                        }
                    }
                }, {
                    field: 'sellReason',
                    title: '上架理由'
                }, {
                    title: '操作',
                    formatter: function() {
                        return '<a href="#">修改</a> <a href="#">删除</a>';
                    }
                }
                ]
            });

        });
    </script>
</head>
<body>
    <div class="table-responsive" style="padding: 10px 30px">
        <table id="table" class="table text-nowrap"></table>
    </div>
</body>
</html>

3.3.  演示

重点演示几个查询

返回结果：

{
    "code": 200,
    "success": true,
    "msg": "SUCCESS",
    "data": {
        "pageNumber": 1,
        "pageSize": 10,
        "totalCount": 2,
        "pageList": [
            {
                "id": 2,
                "name": "倚天屠龙记（全四册）",
                "author": "金庸",
                "category": 10011,
                "price": 70.4,
                "sellReason": "武林至尊，宝刀屠龙，号令天下，莫敢不从。",
                "sellTime": "2018-11-11",
                "status": 1
            },
            {
                "id": 3,
                "name": "神雕侠侣",
                "author": "金庸",
                "category": 10011,
                "price": 70,
                "sellReason": "风陵渡口初相遇，一见杨过误终身",
                "sellTime": "2018-11-11",
                "status": 1
            }
        ]
    }
}

上面的查询对应的Elasticsearch DSL是这样的：

{
    "from":0,
    "size":10,
    "query":{
        "bool":{
            "must":[
                {
                    "match":{
                        "author":{
                            "query":"金庸",
                            "operator":"OR",
                            "prefix_length":0,
                            "max_expansions":50,
                            "fuzzy_transpositions":true,
                            "lenient":false,
                            "zero_terms_query":"NONE",
                            "auto_generate_synonyms_phrase_query":true,
                            "boost":1
                        }
                    }
                },
                {
                    "term":{
                        "status":{
                            "value":1,
                            "boost":1
                        }
                    }
                },
                {
                    "bool":{
                        "should":[
                            {
                                "term":{
                                    "category":{
                                        "value":10010,
                                        "boost":1
                                    }
                                }
                            },
                            {
                                "term":{
                                    "category":{
                                        "value":10011,
                                        "boost":1
                                    }
                                }
                            },
                            {
                                "term":{
                                    "category":{
                                        "value":10012,
                                        "boost":1
                                    }
                                }
                            }
                        ],
                        "adjust_pure_negative":true,
                        "boost":1
                    }
                }
            ],
            "adjust_pure_negative":true,
            "boost":1
        }
    },
    "sort":[
        {
            "id":{
                "order":"asc"
            }
        }
    ]
}

3.4.  工程结构

4.  参考

https://github.com/medcl/elasticsearch-analysis-ik

https://www.elastic.co/guide/en/elasticsearch/client/java-rest/current/java-rest-high.html

https://www.elastic.co/guide/en/elasticsearch/client/java-rest/current/java-rest-high-search.html

https://bootstrap-table.wenzhixin.net.cn/documentation/

5.  其它相关

《Elasticsearch 分词器》

《Elasticsearch Document》

《Elasticsearch Search API》

《Elasticsearch查询》

《Elasticsearch Mapping》

《SpringBoot+Elasticsearch》

《ELK快速搭建日志平台》

本文摘自：https://www.cnblogs.com/cjsblog/p/10232581.html

---

感谢您的阅读，如果您觉得阅读本文对您有帮助，请点一下“推荐”按钮。欢迎各位转载，但必须在文章页面中给出作者和原文连接。