elasticsearch kibana查询 elasticsearch kibana简单查询讲解
qq_37465151 人气:3一、简单的CRUD操作
1、添加
PUT /index/type/id { "json数据" }
2、查询
GET /index/type/id
3、修改
POST /index/type/id/_update { "doc": { "FIELD": "值" } }
4、删除
DELETE /index/type/id
二、搜索
搜索可以分成六大类
- 1、query string search
- 2、query DSL
- 3、query filter
- 4、full-text search
- 5、phrase search
- 6、highlight search
1、query string search
搜索全部:GET supplier/user/_search
{ "took": 2, "timed_out": false, "_shards": { "total": 5, "successful": 5, "failed": 0 }, "hits": { "total": 3, "max_score": 1, "hits": [ { "_index": "supplier", "_type": "user", "_id": "2", "_score": 1, "_source": { "name": "lisi", "age": 26, "address": "bei jing tong zhou", "price": 10000, "dept": [ "kaifabu" ] } }, { "_index": "supplier", "_type": "user", "_id": "1", "_score": 1, "_source": { "name": "zhangsan", "age": 30, "address": "bei jing chang chun jie", "price": 15000, "dept": [ "kaifabu", "yanfabu" ] } }, { "_index": "supplier", "_type": "user", "_id": "3", "_score": 1, "_source": { "name": "wangwu", "age": 26, "address": "bei jing tong zhou yun he ming zhu", "price": 13000, "dept": [ "kaifabu" ] } } ] } }
took:耗费了几毫秒
timed_out:是否超时,这里是没有
_shards:数据拆成了5个分片,所以对于搜索请求,会打到所有的primary shard(或者是它的某个replica shard也可以)
hits.total:查询结果的数量,3个document
hits.max_score:score的含义,就是document对于一个search的相关度的匹配分数,越相关,就越匹配,分数也高
hits.hits:包含了匹配搜索的document的详细数据
2、query DSL
查询所有
GET supplier/user/_search { "query": { "match_all": {} } }
查询全部并且排序
GET suppluer/user/_search { "query": { "match_all": {} } , "sort": [ { "price": { "order": "desc" } } ] }
分页查询
GET supplier/user/_search { "query": { "match_all": {} }, "from": 1, "size": 1 }
指定要查询显示的field
GET supplier/user/_search { "query": { "match_all": {} }, "_source": ["name", "price"] }
3、query filter
搜索name为‘lisi'并且price大于1500的
GET supplier/user/_search { "query" : { "bool" : { "must" : { "match" : { "name" : "lisi" } }, "filter" : { "range" : { "price" : { "gt" : 1500} } } } } }
4、full-text search(全文检索)
address这个字段,会先被拆解,建立倒排索引
GET /ecommerce/product/_search { "query" : { "match" : { "address" : "bei jing" } } }
5、phrase search(短语搜索)
跟全文检索相对应,相反,全文检索会将输入的搜索串拆解开来,去倒排索引里面去一一匹配,只要能匹配上任意一个拆解后的单词,就可以作为结果返回
phrase search,要求输入的搜索串,必须在指定的字段文本中,完全包含一模一样的,才可以算匹配,才能作为结果返回
GET /ecommerce/product/_search { "query" : { "match_phrase" : { "address" : "bei jing" } } }
6、highlight search(高亮搜索结果)
GET /ecommerce/product/_search { "query" : { "match" : { "address" : "bei jing" } }, "highlight": { "fields" : { "address" : {} } } }
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