开发者社区> 问答> 正文

mongodb怎么查询数据

mongodb怎么查询数据

展开
收起
社区秘书 2019-12-10 15:53:12 799 0
1 条回答
写回答
取消 提交回答
  • 
    
    use flower
    
    
    
    
    
    
    
    
    
    
    
    
    
    
    
    
    
    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:'Plum blossom',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:'Chinese rose',price:67,num:3700,area:{province:'Henan','city':'Luoyang'}})
    
    db.goods.insert({goods_name:'Chinese rose',price:32,num:900,area:{province:'Henan','city':'Luoyang'}})
    
    db.goods.insert({goods_name:'Chinese rose',price:32,num:900,area:{province:'Henan','city':'Luoyang'},color:
    
    ['write','red']})
    
    db.goods.insert({goods_name:'Chinese rose',price:32,num:900,area:{province:'Henan','city':'Luoyang'},color:
    
    ['red','green']})
    
    db.goods.insert({goods_name:'Chinese rose',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" : "Chinese rose" }
    
    { "_id" : ObjectId("5cb5bba28a0ad00bec55f155"), "goods_name" : "Chinese rose" }
    
    { "_id" : ObjectId("5cb5bba28a0ad00bec55f156"), "goods_name" : "Chinese rose" }
    
    { "_id" : ObjectId("5cb5bba48a0ad00bec55f157"), "goods_name" : "Chinese rose" }
    
    
    db.goods.find({price:32},{goods_name:1,_id:0})
    
    
    
    
    
    { "goods_name" : "Chinese rose" }
    
    { "goods_name" : "Chinese rose" }
    
    { "goods_name" : "Chinese rose" }
    
    { "goods_name" : "Chinese rose" }
    
    
    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" : "Chinese rose" }
    
    { "goods_name" : "Chinese rose" }
    
    { "goods_name" : "Chinese rose" }
    
    { "goods_name" : "Chinese rose" }
    
    { "goods_name" : "Chinese rose" }
    
    
    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" : "Chinese rose", "price" : 67 }
    
    { "goods_name" : "Chinese rose", "price" : 32 }
    
    { "goods_name" : "Chinese rose", "price" : 32 }
    
    { "goods_name" : "Chinese rose", "price" : 32 }
    
    { "goods_name" : "Chinese rose", "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。
    
    2019-12-10 15:53:26
    赞同 展开评论 打赏
问答排行榜
最热
最新

相关电子书

更多
Data as a Service - 数据即服务 -- MongoDB⾼级应⽤模式 立即下载
MongoDB多数据中心的方案选型之路 立即下载
饿了么高级架构师陈东明:MongoDB是如何逐步提高可靠性的 立即下载