文档操作 documents
创建数据(put)
向 user 索引下创建3条数据
PUT /user/_doc/1
{"name":"zhangsan","age":18,"sex":"男","info":"一顿操作猛如虎,一看工资2500","tags":["计算机","运动","动漫"]
}
PUT /user/_doc/2
{"name":"kunkun","age":3,"sex":"男","info":"吉你实在实在太美","tags":["唱","跳","篮球"]
}
PUT /user/_doc/3
{"name":"lisi","age":66,"sex":"女","info":"清晨下的第一杯水","tags":["a","b","c"]
}
当执行命令时,如果数据不存在,则新增该条数据,如果数据存在则修改该条数据。
获取数据(get)
# get 索引名/类型名/id
GET /user/_doc/1
结果:
{"_index" : "user","_type" : "_doc","_id" : "1","_version" : 2,"_seq_no" : 3,"_primary_term" : 1,"found" : true,"_source" : {"name" : "zhangsan","age" : 18,"sex" : "男","info" : "一顿操作猛如虎,一看工资2500","tags" : ["计算机","运动","动漫"]}
}
更新数据(update)
覆盖更新(put)
PUT /user/_doc/1
{# 更新的数据"name":"wangwu"
}
结果:
{"_index" : "user","_type" : "_doc","_id" : "1","_version" : 2, // 代表数据更改的次数"result" : "updated","_shards" : {"total" : 2,"successful" : 1,"failed" : 0},"_seq_no" : 6,"_primary_term" : 1
}
从结果中可以看到,我们更新的数据并不是更改了指定的字段,而是直接覆盖掉了原来的数据,这不符合我们的一般习惯,如果想要更新指定的字段,需要使用 post + _update 方式来更新
局部更新(post)
使用 post 命令,在 id 后面跟 _update,要修改的内容放到 doc 文档中即可。
POST /user/_doc/3/_update
{"doc":{"name":"zhangsan"}
}
结果:
#! Deprecation: [types removal] Specifying types in document update requests is deprecated, use the endpoint /{index}/_update/{id} instead.
{"_index" : "user","_type" : "_doc","_id" : "3","_version" : 2,"result" : "updated","_shards" : {"total" : 2,"successful" : 1,"failed" : 0},"_seq_no" : 7,"_primary_term" : 1
}
条件查询
使用 GET 命令,后加上_search?q=要查询的条件
# get /索引名/文档名/_search查询条件
GET /user/_doc/_search?q=name:zhangsan
结果:
#! Deprecation: [types removal] Specifying types in search requests is deprecated.
{"took" : 2,"timed_out" : false,"_shards" : {"total" : 1,"successful" : 1,"skipped" : 0,"failed" : 0},"hits" : {"total" : {"value" : 1,"relation" : "eq"},"max_score" : 0.9808291,"hits" : [{"_index" : "user","_type" : "_doc","_id" : "3","_score" : 0.9808291,"_source" : {"name" : "zhangsan","age" : 66,"sex" : "女","info" : "清晨下的第一杯水","tags" : ["a","b","c"]}}]}
}
我们看一下结果 返回并不是 数据本身,是给我们了一个 hits ,还有 _score 得分,就是根据算法算出和查询条件匹配度高得分就搞。
这里的查询是模糊查询,并会根据 ik 分词器进行匹配,但由于我们查询的字段name
的类型是keyword
(不可分词),故必须要精确匹配才能查询到