ElasticSearch如何使用以及java代碼如何查詢並排序ES中的數據(距離排序)返回距離

一.環境準備

1.elasticsearch壓縮包、kibana插件、head-master插件,具體怎麼安裝配置,小夥伴們可以自行百度網上很多案例

可參考:https://blog.csdn.net/sinat_42338962/article/details/85227902

這裏說一下,國內下載一般都很慢,可以參考這篇文章,博主都放在百度雲,下載很方便

文章鏈接:https://blog.csdn.net/weixin_37281289/article/details/101483434

2.head插件使用,在elasticsearch-head-master根目錄下執行npm run start,訪問http://localhost:9100/即可查詢並操作ES中數據,

3.kibana使用。在kibana/bin文件夾下,執行kibana.bat,訪問http://localhost:5601/進行管理界面,在dev toos可進行操作數據,如下

4.查詢數據之前首先要創建索引和定義數據類型,比如你想存放哪些字段(時間,經緯度,部門等)

PUT hbp
{
      "settings": {
        "number_of_shards": 5,
        "number_of_replicas": 1
    },
  "mappings": {

      "properties": {
         "id": {
            "type": "text"
            },
          "name": {
            "type": "text"
          },
          "dept": {
            "type": "text"
          },
          "location":{
            "type": "geo_point"
          },
          "pub_date":{
            "type": "date",
            "format": "yyyy-MM-dd HH:mm:ss||yyyy-MM-dd"
          }
    }
     
  }
}

5.再用腳本新增數據,或者用java代碼連接es新增數據

PUT hbp/_doc/2
{
"name":"李四",
"pub_date":"2020-09-02 11:30:00",
"dept":"研發二部",
"location":{
  "lat":39.669607,
  "lon":118.257638
}
}

二:這裏重點講一下java根據距離範圍查詢並通過距離排序,當然下面代碼中也有其他的查詢和排序,僅供參考,這裏需要先在pom.xml引入依賴,注意版本號一致

org.elasticsearch.client elasticsearch-rest-high-level-client 7.3.2 org.elasticsearch elasticsearch 7.3.2
接下來直接上代碼

package com.zzht.esDemo;

import java.net.UnknownHostException;
import java.util.ArrayList;
import java.util.HashMap;
import java.util.List;
import java.util.Map;
import java.util.concurrent.TimeUnit;

import org.junit.Test;


import org.apache.http.HttpHost;
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.client.HttpAsyncResponseConsumerFactory;
import org.elasticsearch.client.RequestOptions;
import org.elasticsearch.client.RestClient;
import org.elasticsearch.client.RestHighLevelClient;
import org.elasticsearch.client.transport.TransportClient;
import org.elasticsearch.common.geo.GeoDistance;
import org.elasticsearch.common.settings.Settings;
import org.elasticsearch.common.transport.TransportAddress;
import org.elasticsearch.common.unit.DistanceUnit;
import org.elasticsearch.common.unit.TimeValue;
import org.elasticsearch.common.xcontent.XContentBuilder;
import org.elasticsearch.common.xcontent.XContentFactory;
import org.elasticsearch.index.query.BoolQueryBuilder;
import org.elasticsearch.index.query.GeoDistanceQueryBuilder;
import org.elasticsearch.index.query.GeoValidationMethod;
import org.elasticsearch.index.query.QueryBuilder;
import org.elasticsearch.index.query.QueryBuilders;
import org.elasticsearch.search.SearchHit;
import org.elasticsearch.search.SearchHits;
import org.elasticsearch.search.builder.SearchSourceBuilder;
import org.elasticsearch.search.sort.GeoDistanceSortBuilder;
import org.elasticsearch.search.sort.SortBuilders;
import org.elasticsearch.search.sort.SortOrder;
import org.elasticsearch.transport.client.PreBuiltTransportClient;

import java.io.IOException;
import java.net.InetAddress;
import java.net.UnknownHostException;

/**
 * es測試
 *
 */
public class EsDemo 
{
    private static final RequestOptions COMMON_OPTIONS;

    static {
        RequestOptions.Builder builder = RequestOptions.DEFAULT.toBuilder();

        // 默認緩存限制爲100MB,此處修改爲30MB。
        builder.setHttpAsyncResponseConsumerFactory(
                new HttpAsyncResponseConsumerFactory
                        .HeapBufferedResponseConsumerFactory(30 * 1024 * 1024));
        COMMON_OPTIONS = builder.build();
    }
    
    
       protected RestHighLevelClient client =  new RestHighLevelClient(
               RestClient.builder(new HttpHost("127.0.0.1", 9200, "http")));;
       
       private String indexName = "hbp";
       private String type = "_doc";
       
    //從ES中查詢數據
    @Test
    public void test1() throws IOException {
        Integer pageSize = 10;
        Integer PageNum = 0;
        SearchSourceBuilder searchSourceBuilder = new SearchSourceBuilder();
        BoolQueryBuilder bq = QueryBuilders.boolQuery();
        //按時間範圍查詢
        QueryBuilder dateBuilder = QueryBuilders.rangeQuery("pub_date")
                .gte("2020-09-01 10:30:00").lte("2020-09-02 13:50:00").format("yyyy-MM-dd HH:mm:ss");//時間範圍查詢
    
        
        //根據id查詢
        List<String> idList = new ArrayList<String>();
        idList.add("1");
        idList.add("2");
        idList.add("3");
//        idList.add("4");
//        idList.add("5");
        QueryBuilder idBuilder = QueryBuilders.termsQuery("_id", idList);
        // 以某點爲中心,搜索指定範圍
        GeoDistanceQueryBuilder distanceQueryBuilder = new GeoDistanceQueryBuilder("location");
        distanceQueryBuilder.point(39.662263, 118.197815);
        //查詢單位:km
        distanceQueryBuilder.distance("6", DistanceUnit.KILOMETERS);
        //構建檢索
        /*這裏說明一下,distanceQueryBuilder就是距離查詢條件,idBuilder就是id過濾條件,
        dateBuilder就是時間範圍查詢條件,可以定義一個或多個條件(QueryBuilder),下面的
        排序也是同理,可以構造多個sortBuilder*/
        QueryBuilder query = bq
//                .filter(distanceQueryBuilder)
//                .must(idBuilder)
                .filter(dateBuilder)
                ;
        searchSourceBuilder.query(query);

        //按時間排序
//      searchSourceBuilder.sort("pub_date", SortOrder.DESC);

        
        //按距離排序
        GeoDistanceSortBuilder distanceSort = SortBuilders.geoDistanceSort("location", 39.662263, 118.197815);
        distanceSort.order(SortOrder.ASC);
        distanceSort.geoDistance(GeoDistance.ARC);
        distanceSort.unit(DistanceUnit.KILOMETERS);
        distanceSort.validation(GeoValidationMethod.STRICT);
        
        searchSourceBuilder.sort(distanceSort);
        
        
        //查詢es數據
        searchSourceBuilder.from(PageNum);
        searchSourceBuilder.size(pageSize);
        searchSourceBuilder.timeout(new TimeValue(100,TimeUnit.SECONDS));
        SearchRequest searchRequest = new SearchRequest("hbp");
        searchRequest.source(searchSourceBuilder);
        SearchResponse response = client.search(searchRequest, RequestOptions.DEFAULT);
        SearchHits hits = response.getHits();
        for(SearchHit hit : hits){
            System.out.println(hit.getSourceAsString());
            System.out.println(hit.getSortValues()[0]);//獲取排序的距離,index爲排序的位置
        }
        
        
        
        
        //get方式數據查詢 ,參數爲Index,type和id
//        GetRequest  request = new GetRequest(indexName, "7");
//        GetResponse getResponse1 = client.get(request, COMMON_OPTIONS);
//        System.out.println(getResponse1.getSourceAsString());
        client.close();
    }
    
    
    
    
    
    
    
  //插入數據
    
    public void test2() throws IOException {
         String jsonStr = "{"name":"開發004","pub_date":"2020-09-05 18:00:00","dept":"研發一部","location":{"lon":118.250192,"lat":39.691231}}";
        IndexRequest request = new IndexRequest(indexName);    
        request.source(jsonStr, XContentType.JSON);
        IndexResponse indexResponse = client.index(request, RequestOptions.DEFAULT);
        System.out.println(indexResponse.getResult());
    }


}


執行上面代碼的test1方法,輸出結果如下:

這個主要是根據經緯度來查詢某個點方圓半徑內的數據,比如附近5km內的餐館

另外貼下根據父文檔查詢子文檔代碼寫法

//父級查詢結果返回字段設置
// FetchSourceContext fetchSourceContext = new FetchSourceContext(true,new String[]{“formObject”},null);
// HasParentQueryBuilder parentCondition = JoinQueryBuilders.hasParentQuery(“procinst”, //父文檔type
// bqParent,false);//.innerHit(new InnerHitBuilder().setFetchSourceContext(fetchSourceContext));//設置父級(流程實例)返回字段
//
// queryChild.filter(parentCondition);


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