前言:elasticsearch 查詢有很多關(guān)鍵字，查詢的條件有固定格式，返回結(jié)果提示不明確，讓ES使用起來有點(diǎn)不方便的感覺，ES查詢方式很多，簡單介紹幾種使用點(diǎn)的，實(shí)用的

此處簡單梳理一下最常用的查詢

模糊匹配查詢

類似 mysql 語法中的 like ‘%value%’

http://localhost:9200/fileindex1/_search

{
  "query": {
  "match_phrase_prefix": {
    "name": {
      "query": "測試",
      "max_expansions": 50
    }
  }}
}

   @Test
    void testSearch2() throws IOException {
        SearchRequest searchRequest = new SearchRequest("fileindex1");
        //構(gòu)建搜索條件
        SearchSourceBuilder sourceBuilder = new SearchSourceBuilder();
        //查詢條件,我們可以使用SearchSourceBuilder工具來實(shí)現(xiàn)
        //精確匹配QueryBuilders.termQuery()
        MatchPhrasePrefixQueryBuilder matchQueryBuilder = QueryBuilders.matchPhrasePrefixQuery("name","測試");
        sourceBuilder.query(matchQueryBuilder);
        sourceBuilder.timeout(new TimeValue(60, TimeUnit.SECONDS));
        searchRequest.source(sourceBuilder);
        SearchResponse searchResponse = client.search(searchRequest, RequestOptions.DEFAULT);
        System.out.println(JSON.toJSONString(searchResponse));
        System.out.println("+++++++++++++++++++++++++++++++++++++++++");
        for (SearchHit hit : searchResponse.getHits()) {
            System.out.println(hit.getSourceAsMap());
        }
    }

類似于百度的分詞查詢

將查詢的內(nèi)容分解，提取。例如 文檔數(shù)據(jù)庫 ，就會被分詞器 分解為 文檔 ，數(shù)據(jù) ，數(shù)據(jù)庫等 查詢返回更加有廣度

分詞查詢接口

http://localhost:9200/_analyze

{
	"analyzer":"ik_max_word",
	"text":"文檔數(shù)據(jù)庫"
}

分詞解析

{
    "111": [
        {
            "111": "文檔",
            "start_offset": 0,
            "end_offset": 2,
            "type": "CN_WORD",
            "position": 0
        },
        {
            "111": "數(shù)據(jù)庫",
            "start_offset": 2,
            "end_offset": 5,
            "type": "CN_WORD",
            "position": 1
        },
        {
            "111": "數(shù)據(jù)",
            "start_offset": 2,
            "end_offset": 4,
            "type": "CN_WORD",
            "position": 2
        },
        {
            "111": "庫",
            "start_offset": 4,
            "end_offset": 5,
            "type": "CN_CHAR",
            "position": 3
        }
    ]
}

查詢會將分詞解析出的分詞

ES查詢條件 分詞查詢

http://localhost:9200/fileindex1/_search

 {
  "query": {
    "match": {
      "name": "文檔數(shù)據(jù)庫"
    }
  }
}

  @Test
    void testSearch1() throws IOException {
        SearchRequest searchRequest = new SearchRequest("fileindex1");
        //構(gòu)建搜索條件
        SearchSourceBuilder sourceBuilder = new SearchSourceBuilder();

        //查詢條件,我們可以使用SearchSourceBuilder工具來實(shí)現(xiàn)
        //精確匹配QueryBuilders.termQuery()
        MatchQueryBuilder matchQueryBuilder = QueryBuilders.matchQuery("name","測試");
        sourceBuilder.query(matchQueryBuilder);
        sourceBuilder.timeout(new TimeValue(60, TimeUnit.SECONDS));
        searchRequest.source(sourceBuilder);
        SearchResponse searchResponse = client.search(searchRequest, RequestOptions.DEFAULT);
        System.out.println(JSON.toJSONString(searchResponse));
        System.out.println("+++++++++++++++++++++++++++++++++++++++++");
        for (SearchHit hit : searchResponse.getHits()) {
            System.out.println(hit.getSourceAsMap());
        }
    }

根據(jù)具體字段精確查詢內(nèi)容

{
  "query": {
    "fuzzy": {
      "attachment.author.keyword": "測試"
    }
  }
}

 // 根據(jù)字段精準(zhǔn)查詢
    @Test
    void testSearch3() throws IOException {
        SearchRequest searchRequest = new SearchRequest("fileindex1");
        //構(gòu)建搜索條件
        SearchSourceBuilder sourceBuilder = new SearchSourceBuilder();
        //查詢條件,我們可以使用SearchSourceBuilder工具來實(shí)現(xiàn)
        //精確匹配QueryBuilders.termQuery()
        FuzzyQueryBuilder matchQueryBuilder = QueryBuilders.fuzzyQuery("attachment.author.keyword","user
        ");
        sourceBuilder.query(matchQueryBuilder);
        sourceBuilder.timeout(new TimeValue(60, TimeUnit.SECONDS));
        searchRequest.source(sourceBuilder);
        SearchResponse searchResponse = client.search(searchRequest, RequestOptions.DEFAULT);
        System.out.println(JSON.toJSONString(searchResponse));
        System.out.println("+++++++++++++++++++++++++++++++++++++++++");
        for (SearchHit hit : searchResponse.getHits()) {
            System.out.println(hit.getSourceAsMap());
        }
    }

ES 高亮顯示查詢

http://localhost:9200/fileindex1/_search
{
  "query": {
    "bool": {
      "should": [
        {
          "match": {
            "attachment.author": "NOOB"
          }
        },
        {
          "match": {
            "attachment.content": "省政府"
          }
        }
      ]
    }
  },
  "highlight": {
    "fields": {
      "attachment.author": {},
      "attachment.content": {}
    }
  }
}

java 實(shí)現(xiàn)方式

  void testSearch2() throws IOException {
        SearchRequest searchRequest = new SearchRequest("fileindex1");
        //構(gòu)建搜索條件
        SearchSourceBuilder sourceBuilder = new SearchSourceBuilder();
        //查詢條件,我們可以使用SearchSourceBuilder工具來實(shí)現(xiàn)
        //精確匹配QueryBuilders.termQuery()
        MatchPhrasePrefixQueryBuilder matchQueryBuilder = QueryBuilders.matchPhrasePrefixQuery("attachment.content","皇帝");
        sourceBuilder.query(matchQueryBuilder);
        sourceBuilder.timeout(new TimeValue(60, TimeUnit.SECONDS));
        searchRequest.source(sourceBuilder);
        // 高亮顯示
        HighlightBuilder highlightBuilder = new HighlightBuilder();
        highlightBuilder.field("attachment.author").field("attachment.content");
        highlightBuilder.preTags("<span style=\"color: red\">");
        highlightBuilder.postTags("</span>");
        sourceBuilder.highlighter(highlightBuilder);
        SearchResponse searchResponse = client.search(searchRequest, RequestOptions.DEFAULT);
        //System.out.println(JSON.toJSONString(searchResponse));
        System.out.println("+++++++++++++++++++++++++++++++++++++++++");
        System.out.println(JSON.toJSONString(searchResponse.getHits()));
        for (SearchHit hit : searchResponse.getHits()) {
            System.out.println(hit.getHighlightFields());
        }
    }

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