Elasticsearch 邻近查询示例

Elasticsearch 邻近查询示例(全切分分词)

JAVA API方式:

SpanNearQueryBuilder span = QueryBuilders.spanNearQuery();
span.clause(QueryBuilders.spanTermQuery("Text", "学"));
span.clause(QueryBuilders.spanTermQuery("Text", "联"));
span.inOrder(true).slop(1);
SearchRequestBuilder rs = client.prepareSearch("weiboall")
                .setQuery(span).setFrom(0).setSize(20);
SearchResponse response = rs.get();

REST方式（JSON）:

{
  "from": 0,
  "size": 20,
  "query": {
    "span_near": {
      "clauses": [
        {
          "span_term": {
            "Text": {
              "value": "在"
            }
          }
        },
        {
          "span_term": {
            "Text": {
              "value": "讨"
            }
          }
        }
      ],
      "slop": 0,
      "in_order": true
    }
  }
}

 Elasticsearch 邻近查询示例（IK分词）

这种方式利用前后缀组合查询，可以识别查询中的未登陆词、新词等

java API方式：

MultiTermQueryBuilder mqb1 = new WildcardQueryBuilder("Text", "*学");
SpanQueryBuilder sb1= new SpanMultiTermQueryBuilder(mqb1);
 MultiTermQueryBuilder mqb2 = new WildcardQueryBuilder("Text", "联*");
 SpanQueryBuilder sb2= new SpanMultiTermQueryBuilder(mqb2);
SpanNearQueryBuilder spanb= new SpanNearQueryBuilder();
 spanb.clause(sb1);
 spanb.clause(sb2);
spanb.inOrder(true);
spanb.slop(0);
SearchRequestBuilder rs = client.prepareSearch("weiboall")
                .setQuery(spanb).setFrom(0).setSize(20);
        System.out.println(rs.toString());
        SearchResponse response = rs.get();

Rest(json)方式：

{
  "from" : 0,
  "size" : 20,
  "query" : {
    "span_near" : {
      "clauses" : [ {
        "span_multi" : {
          "match" : {
            "wildcard" : {
              "Text" : {
                "wildcard" : "*学"
              }
            }
          }
        }
      }, {
        "span_multi" : {
          "match" : {
            "wildcard" : {
              "Text" : {
                "wildcard" : "联*"
              }
            }
          }
        }
      } ],
      "slop" : 0,
      "in_order" : true
    }
  }
}