• 技术文章 >数据库 >MongoDB

    mongodb怎么查询数据

    爱喝马黛茶的安东尼爱喝马黛茶的安东尼2019-11-19 13:49:41原创2560

    1、插入测试数据

    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。

    python学习网,大量的免费MongoDB入门教程,欢迎在线学习!

    专题推荐:mongodb 查询数据
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