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" : {}

}

}

}

总结

以上就是这篇文章的全部内容了，希望本文的内容对大家的学习或者工作具有一定的参考学习价值，谢谢大家对脚本之家的支持。如果你想了解更多相关内容请查看下面相关链接