当ES版本>5.2,type=text时,默认会设置两个field,一个是field本身,比如articleID,默认会分词的;还有一个是field.keyword,比如articleID.keyword,默认不分词,但是最多会最多保留256个字符。
term filter的用法下面用示例来说明。
POST /forum/article/_bulk { "index": { "_id": 1 }} { "articleID" : "XHDK-A-1293-#fJ3", "userID" : 1, "hidden": false, "postDate": "2017-01-01" } { "index": { "_id": 2 }} { "articleID" : "KDKE-B-9947-#kL5", "userID" : 1, "hidden": false, "postDate": "2017-01-02" } { "index": { "_id": 3 }} { "articleID" : "JODL-X-1937-#pV7", "userID" : 2, "hidden": false, "postDate": "2017-01-01" } { "index": { "_id": 4 }} { "articleID" : "QQPX-R-3956-#aD8", "userID" : 2, "hidden": true, "postDate": "2017-01-02" }看一下自动建立的mapping结构
GET /forum/_mapping/article { "forum": { "mappings": { "article": { "properties": { "articleID": { "type": "text", "fields": { "keyword": { "type": "keyword", "ignore_above": 256 } } }, "hidden": { "type": "boolean" }, "postDate": { "type": "date" }, "userID": { "type": "long" } } } } } }
由上面可知,当articleID的type未text时,系统会额外建立一个fields字段,type为keyword。
term filter:对搜索文本不分词,直接拿去倒排索引中匹配,你输入的是什么,就去匹配什么,下面举例说明
GET /forum/article/_search { "query" : { "constant_score" : { "filter" : { "term" : { "articleID.keyword" : "XHDK-A-1293-#fJ3" } } } } }
搜到的结果如下:
{ "took": 2, "timed_out": false, "_shards": { "total": 5, "successful": 5, "failed": 0 }, "hits": { "total": 1, "max_score": 1, "hits": [ { "_index": "forum", "_type": "article", "_id": "1", "_score": 1, "_source": { "articleID": "XHDK-A-1293-#fJ3", "userID": 1, "hidden": false, "postDate": "2017-01-01" } } ] } }
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