当前位置:首页 > 云计算 > 正文内容

mongodb怎么查询数据

2022-05-04 03:09:17云计算1

1、插入测试数据

useflower
db.goods.insert({'goods_name':'Hyacinth',price:10,num:800})
db.goods.insert({goods_name:'Hyacinth',price:10,num:800})
db.goods.insert({goods_name:'violet',price:20,num:1000})
db.goods.insert({goods_name:'Plumblossom',price:20,num:1000})
db.goods.insert({goods_name:'Datura',price:40,num:700})
db.goods.insert({goods_name:'Rosemary',price:39,num:2000})
db.goods.insert({goods_name:'Rosemary',price:39,num:2000,area:{province:'beijing','city':'beijing'}})
db.goods.insert({goods_name:'Rosemary',price:39,num:2000,area:{province:'Shanghai','city':'Shanghai'}})
db.goods.insert({goods_name:'Chineserose',price:67,num:3700,area:{province:'Henan','city':'Luoyang'}})
db.goods.insert({goods_name:'Chineserose',price:32,num:900,area:{province:'Henan','city':'Luoyang'}})
db.goods.insert({goods_name:'Chineserose',price:32,num:900,area:{province:'Henan','city':'Luoyang'},color:
['write','red']})
db.goods.insert({goods_name:'Chineserose',price:32,num:900,area:{province:'Henan','city':'Luoyang'},color:
['red','green']})
db.goods.insert({goods_name:'Chineserose',price:32,num:900,area:{province:'Henan','city':'Luoyang'},color:
['write','red','grees']})

添加数据的方式:普通数据的添加、多维数据的添加、数组数据的添加

2、MongoDB命令行查询数据

MongoDB命令行查询数据有以下几种方式:

·笼统方式查询

·条件限制查询

·范围查询

·多个查询条件

·多维字段的查询

·数组条件的限制查询

·字段的限制查询

1)笼统方式查询:

db.goods.find()
db.goods.find()
{"_id":ObjectId("5cb5bba28a0ad00bec55f14b"),"goods_name":"Hyacinth","price":10,"num":800}
{"_id":ObjectId("5cb5bba28a0ad00bec55f14c"),"goods_name":"Hyacinth","price":10,"num":800}
{"_id":ObjectId("5cb5bba28a0ad00bec55f14d"),"goods_name":"violet","price":20,"num":1000}
……

采用这种方式查询,会查询所有数据。

db.goods.findOne()

查询所有数据中的第一条,并且将数据格式化输出。

db.goods.findOne()
{
"_id":ObjectId("5cb5bba28a0ad00bec55f14b"),
"goods_name":"Hyacinth",
"price":10,
"num":800
}

2)条件限制查询

db.goods.find({goods_name:'Hyacinth'})
{"_id":ObjectId("5cb5bba28a0ad00bec55f14b"),"goods_name":"Hyacinth","price":10,"num":800}
{"_id":ObjectId("5cb5bba28a0ad00bec55f14c"),"goods_name":"Hyacinth","price":10,"num":800}

相当于:SELECT *FROM goods WHERE goods_name='Hyacinth'

db.goods.findOne({goods_name:'Hyacinth'})
{
"_id":ObjectId("5cb5bba28a0ad00bec55f14b"),
"goods_name":"Hyacinth",
"price":10,
"num":800
}

该_id字段的内容值是MongoDB本身算法获得出来的,_id字段对应的值是“全球唯一”的,相当于MySQL表里的主键id,是唯一的。id可以自行设置,但是不推荐。

优点:方便MongoDB的数据做升级、迁移

3)范围查询

查询goods表中价格大于10的数据:

db.goods.find({price:{'$gt':10}})

查询goods表中价格大于等于10的数据:

db.goods.find({price:{'$gte':10}})

查询goods表中价格小于10的数据:

db.goods.find({price:{'$lt':12}})

查询goods表中价格小于等于10的数据:

db.goods.find({price:{'$lte':12}})

4)多个查询条件

例如:要求price大于10,库存大于800

db.goods.find({price:{'$gt':10},num:{'$gt':800}})

要求price大于10,库存为900

db.goods.find({price:{'$gt':10},num:900})

5)多维字段的查询

db.goods.find({'area.province':'Shanghai'})
db.goods.find({'area.city':'Shanghai'})

6)数组条件的限制查询

查询“color”中有“red”记录,满足一个元素即可:

db.goods.find({color:'red'})

查询“color”中有“red”并且(AND)有“write”的记录:

db.goods.find({color:{'$all':['red','write']}})

查询“price”是10或者(OR)“num”是800

db.goods.find({$or:[{'price':10},{'num':800}]})

7)字段的限制查询

db.goods.find({price:32},{goods_name:1})
{"_id":ObjectId("5cb5bba28a0ad00bec55f154"),"goods_name":"Chineserose"}
{"_id":ObjectId("5cb5bba28a0ad00bec55f155"),"goods_name":"Chineserose"}
{"_id":ObjectId("5cb5bba28a0ad00bec55f156"),"goods_name":"Chineserose"}
{"_id":ObjectId("5cb5bba48a0ad00bec55f157"),"goods_name":"Chineserose"}
db.goods.find({price:32},{goods_name:1,_id:0})
{"goods_name":"Chineserose"}
{"goods_name":"Chineserose"}
{"goods_name":"Chineserose"}
{"goods_name":"Chineserose"}
db.goods.find({price:{'$gt':30}},{goods_name:1,_id:0})
{"goods_name":"Datura"}
{"goods_name":"Rosemary"}
{"goods_name":"Rosemary"}
{"goods_name":"Rosemary"}
{"goods_name":"Chineserose"}
{"goods_name":"Chineserose"}
{"goods_name":"Chineserose"}
{"goods_name":"Chineserose"}
{"goods_name":"Chineserose"}
db.goods.find({price:{'$gt':30}},{goods_name:1,price:1,_id:0})
{"goods_name":"Datura","price":40}
{"goods_name":"Rosemary","price":39}
{"goods_name":"Rosemary","price":39}
{"goods_name":"Rosemary","price":39}
{"goods_name":"Chineserose","price":67}
{"goods_name":"Chineserose","price":32}
{"goods_name":"Chineserose","price":32}
{"goods_name":"Chineserose","price":32}
{"goods_name":"Chineserose","price":32}

说明:_id字段除外,其它字段可以随意设置0,1。可以设置全部字段都输出,也设置为全部字段都不输出。但是,字段中一个是1,另一个是0,这是不可以。

python学习网,大量的免费MongoDB入门教程,欢迎在线学习!

本网站文章仅供交流学习 ,不作为商用, 版权归属原作者,部分文章推送时未能及时与原作者取得联系,若来源标注错误或侵犯到您的权益烦请告知,我们将立即删除.

本文链接:https://www.xibujisuan.cn/7685.html

标签: Python