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，谢谢大家对的支持。如果你想了解更多相关内容请查看下面相关链接