SearchResponse searchResponse=null;
//連接elasticsearch
TransportClient transportClient = ESClientConnectionUtil.getESClientConnection();
searchResponse = client.prepareSearch()
          .setIndices("knowledge")
          .setTypes("knowledge_theme")
           .setSearchType(SearchType.DFS_QUERY_THEN_FETCH)
          .setScroll(TimeValue.timeValueMinutes(30)) //游標維持時間
          .setSize(2 * 5)//實際返回的數量為10*index的主分片數
           .setQuery(QueryBuilders.wildcardQuery("name", ("*"+name+"*").toLowerCase())) //查詢的字段名及值
          .execute()
          .actionGet();

// knowledge代表的是索引名稱（相當于數據庫名稱），knowledge_theme代表的是類型（相當于數據庫中的表名）
SearchRequestBuilder requestBuilder = client.prepareSearch("knowledge").setTypes("knowledge_theme");
// 聲明where條件
      BoolQueryBuilder qbs = QueryBuilders.boolQuery();
/**此處使用模糊匹配查詢 類比數據庫中 like  name代表的是字段名，‘動態(tài)'代表的是匹配的關鍵字*/
//QueryBuilder 適用于單個字段查詢（matchPhraseQuery是沒有用分詞起，matchQuery會使用分詞器，將我們輸入的值進行分割，如：“java動態(tài)”會分割成：“java”,“動態(tài)”）
      QueryBuilder qb1 = QueryBuilders.matchPhraseQuery("name", "動態(tài)");
      BoolQueryBuilder bqb1 = QueryBuilders.boolQuery().must(qb1);
      qbs.must(bqb1);
      requestBuilder.setQuery(qbs);
// /**
查詢前10條數據 （此處是為了簡單實現功能，才使用From,Size 進行分頁查詢，若數據量小可以使用，當數據量大時建議大家使用scroll方式進行分頁，數據量大時From Size效率會越來越低，而scroll的效率是From Size的幾倍）
*/
      SearchResponse responses = requestBuilder.setFrom(0).setSize(10).execute().actionGet();

//搜索名字中含有jack文檔（name中只要包含jack即可）
WildcardQueryBuilder queryBuilder =QueryBuilders.wildcardQuery("name","*jack*");
//搜索名字中含有_jack**的文檔；如： wjacksss; ajackwww
WildcardQueryBuilder queryBuilder =QueryBuilders.wildcardQuery("name","?jack*");

//模糊查詢
WildcardQueryBuilder queryBuilder1 = QueryBuilders.wildcardQuery("name", "*jack*");
//搜索名字中含有jack的文檔
WildcardQueryBuilder queryBuilder2 = QueryBuilders.wildcardQuery("interest", "*read*");
//搜索interest中含有read的文檔
BoolQueryBuilder boolQueryBuilder = QueryBuilders.boolQuery();
//name中必須含有jack,interest中必須含有read,相當于and
boolQueryBuilder.must(queryBuilder1);
boolQueryBuilder.must(queryBuilder2);

WildcardQueryBuilder queryBuilder1 = QueryBuilders.wildcardQuery("name", "*jack*");
//搜索名字中含有jack的文檔
WildcardQueryBuilder queryBuilder2 = QueryBuilders.wildcardQuery("interest", "*read*");
//搜索interest中含有read的文檔
BoolQueryBuilder boolQueryBuilder = QueryBuilders.boolQuery();
//name中含有jack或者interest含有read，相當于or
boolQueryBuilder.should(queryBuilder1);
boolQueryBuilder.should(queryBuilder2);

//搜索name字段或interest字段中包含有cyb的數據，并且這兩個字段中的值必須等于cyb
QueryBuilder queryBuilder = QueryBuilders.multiMatchQuery("cyb","name", "interest");