Elasticsearch：RestClient+SearchSourceBuilder使用案例

1 前言

RestClient是较低层的API，这里使用基于其封装的高层API，即RestHighLevelClient。

需要添加的依赖如下：

<dependency>
    <groupId>org.elasticsearch</groupId>
    <artifactId>elasticsearch</artifactId>
    <version>5.6.10</version>
</dependency>
<dependency>
    <groupId>org.elasticsearch.client</groupId>
    <artifactId>elasticsearch-rest-high-level-client</artifactId>
    <version>5.6.10</version>
</dependency>

较低版本的es可能不支持RestHighLevelClient。
查看一下其maven中央仓库：https://mvnrepository.com/artifact/org.elasticsearch.client/elasticsearch-rest-high-level-client
可以看到，5.6以上的版本才有。

2 测试案例

测试代码如下：

package com.xpleaf.es.leaf;

import org.apache.http.HttpHost;
import org.elasticsearch.action.search.SearchRequest;
import org.elasticsearch.action.search.SearchResponse;
import org.elasticsearch.client.RestClient;
import org.elasticsearch.client.RestHighLevelClient;
import org.elasticsearch.common.unit.TimeValue;
import org.elasticsearch.index.query.*;
import org.elasticsearch.search.builder.SearchSourceBuilder;
import org.elasticsearch.search.sort.SortOrder;
import org.junit.After;
import org.junit.Before;
import org.junit.Test;

/**
 * @author xpleaf
 * @GitHub https://github.com/xpleaf
 * @Blog https://blog.51cto.com/xpleaf
 * @date 2018/10/7 下午12:05
 */
public class RestHighLevelClientTest {

    private HttpHost[] esHosts = new HttpHost[]{
            new HttpHost("localhost", 9200)
    };
    private RestClient restClient = null;
    private RestHighLevelClient client = null;
    private BoolQueryBuilder boolQueryBuilder = null;

    @Before
    public void init() throws Exception {
        // 1.创建RestClient对象
        restClient = RestClient.builder(esHosts).build();
        client = new RestHighLevelClient(restClient);
        // 2.创建BoolQueryBuilder对象
        boolQueryBuilder = new BoolQueryBuilder();
        // 3.设置boolQueryBuilder条件
        MatchPhraseQueryBuilder matchPhraseQueryBuilder = QueryBuilders
                .matchPhraseQuery("key_word", "广东");
        MatchPhraseQueryBuilder matchPhraseQueryBuilder2 = QueryBuilders
                .matchPhraseQuery("key_word", "湖人");
        RangeQueryBuilder rangeQueryBuilder = QueryBuilders
                .rangeQuery("postdate")
                .from("2016-01-01 00:00:00");
        // 子boolQueryBuilder条件条件，用来表示查询条件or的关系
        BoolQueryBuilder childBoolQueryBuilder = new BoolQueryBuilder()
                .should(matchPhraseQueryBuilder)
                .should(matchPhraseQueryBuilder2);
        // 4.添加查询条件到boolQueryBuilder中
        boolQueryBuilder
                .must(childBoolQueryBuilder)
                .must(rangeQueryBuilder);
    }

    // 测试SearchSourceBuilder的搜索
    @Test
    public void test01() throws Exception {

        // 1.创建并设置SearchSourceBuilder对象
        SearchSourceBuilder searchSourceBuilder = new SearchSourceBuilder();
        // 查询条件--->生成DSL查询语句
        searchSourceBuilder.query(boolQueryBuilder);
        // 第几页
        searchSourceBuilder.from(0);
        // 每页多少条数据
        searchSourceBuilder.size(100);
        // 获取的字段（列）和不需要获取的列
        searchSourceBuilder.fetchSource(new String[]{"postdate", "key_word"}, new String[]{});
        // 设置排序规则
        searchSourceBuilder.sort("postdate", SortOrder.ASC);
        // 设置超时时间为2s
        searchSourceBuilder.timeout(new TimeValue(2000));

        // 2.创建并设置SearchRequest对象
        SearchRequest searchRequest = new SearchRequest();
        // 设置request要搜索的索引和类型
        searchRequest.indices("spnews").types("news");
        // 设置SearchSourceBuilder查询属性
        searchRequest.source(searchSourceBuilder);

        // 3.查询
        SearchResponse searchResponse = client.search(searchRequest);
        System.out.println(searchResponse.toString());
    }

    @After
    public void after() throws Exception {
        restClient.close();
    }

}

3 分析

3.1 Rest Json

上面测试案例的查询条件：

// 2.创建BoolQueryBuilder对象
boolQueryBuilder = new BoolQueryBuilder();
// 3.设置boolQueryBuilder条件
MatchPhraseQueryBuilder matchPhraseQueryBuilder = QueryBuilders
                .matchPhraseQuery("key_word", "广东");
MatchPhraseQueryBuilder matchPhraseQueryBuilder2 = QueryBuilders
                .matchPhraseQuery("key_word", "湖人");
RangeQueryBuilder rangeQueryBuilder = QueryBuilders
                .rangeQuery("postdate")
    .from("2016-01-01 00:00:00");
// 子boolQueryBuilder条件条件，用来表示查询条件or的关系
BoolQueryBuilder childBoolQueryBuilder = new BoolQueryBuilder()
    .should(matchPhraseQueryBuilder)
    .should(matchPhraseQueryBuilder2);
// 4.添加查询条件到boolQueryBuilder中
boolQueryBuilder
                .must(childBoolQueryBuilder)
    .must(rangeQueryBuilder);

实际上会转化为如下的es查询语句（可以debug一下，使用searchSourceBuilder就是用来做这种转换）：

{
  "from" : 0,
  "size" : 100,
  "timeout" : "2000ms",
  "query" : {
    "bool" : {
      "must" : [
        {
          "bool" : {
            "should" : [
              {
                "match_phrase" : {
                  "key_word" : {
                    "query" : "广东",
                    "slop" : 0,
                    "boost" : 1.0
                  }
                }
              },
              {
                "match_phrase" : {
                  "key_word" : {
                    "query" : "湖人",
                    "slop" : 0,
                    "boost" : 1.0
                  }
                }
              }
            ],
            "disable_coord" : false,
            "adjust_pure_negative" : true,
            "boost" : 1.0
          }
        },
        {
          "range" : {
            "postdate" : {
              "from" : "2016-01-01 00:00:00",
              "to" : null,
              "include_lower" : true,
              "include_upper" : true,
              "boost" : 1.0
            }
          }
        }
      ],
      "disable_coord" : false,
      "adjust_pure_negative" : true,
      "boost" : 1.0
    }
  },
  "_source" : {
    "includes" : [
      "postdate",
      "key_word"
    ],
    "excludes" : [ ]
  },
  "sort" : [
    {
      "postdate" : {
        "order" : "asc"
      }
    }
  ]
}

3.2 match query VS match_phrase query

注意其差别：

• match query：会对查询语句进行分词，分词后查询语句中的任何一个词项被匹配，文档就会被搜索到。如果想查询匹配所有关键词的文档，可以用and操作符连接；
• match_phrase query：满足下面两个条件才会被搜索到
  • （1）分词后所有词项都要出现在该字段中
  • （2）字段中的词项顺序要一致