Elasticsearch 邻近查询示例

时间:2023-03-08 22:11:11
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();

ES 邻近查询JavaAPI

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
}
}
}

JSON邻近查询

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();
SearchRequestBuilder rs = client.prepareSearch("weiboall")
.setQuery(spanb).setFrom().setSize();
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
}
}
}