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MongoDB quick start notes of iv MongoDB query document operation instance code

  • 2020-05-30 21:15:47
  • OfStack

MongoDB profile

MongoDB is a database based on distributed file storage. Written by C++ language. Designed to provide scalable, high-performance data storage solutions for WEB applications.

MongoDB is a product between relational database and non-relational database. It is the most functional and relational database like non-relational database.

Here is an example of MongoDB querying a document

Delete student first, then reinsert the data 


> db.student.drop()
true
> db.student.insert([{ "_id" : 1, "name" : "zhangsan", "age": 27, "sex": 1 }, { "_id" : 2, "name" : "lisi", "age": 27 } ,{ "_id" : 3, "name" : "wangwu", "age": 30 }, { "_id" : 4, "name" : "zhaoliu", "age": 28 }, { "_id" : 5, "name" : "qianliu", "age": 33 }, { "_id" : 6, "name" : "sunba", "age": 32 }])
BulkWriteResult({
"writeErrors" : [ ],
"writeConcernErrors" : [ ],
"nInserted" : 6,
"nUpserted" : 0,
"nMatched" : 0,
"nModified" : 0,
"nRemoved" : 0,
"upserted" : [ ]
})
> db.student.find()
{ "_id" : 1, "name" : "zhangsan", "age" : 27 }
{ "_id" : 2, "name" : "lisi", "age" : 27 }
{ "_id" : 3, "name" : "wangwu", "age" : 30 }
{ "_id" : 4, "name" : "zhaoliu", "age" : 28 }
{ "_id" : 5, "name" : "qianliu", "age" : 33 }
{ "_id" : 6, "name" : "sunba", "age" : 32 }

1. Query the specified key

db. Collection name.find({query condition},{specify key})

Specify the key: 1 for display, 0 for no display, and _id for default display 


> db.student.find({},{name:1})
{ "_id" : 1, "name" : "zhangsan" }
{ "_id" : 2, "name" : "lisi" }
{ "_id" : 3, "name" : "wangwu" }
{ "_id" : 4, "name" : "zhaoliu" }
{ "_id" : 5, "name" : "qianliu" }
{ "_id" : 6, "name" : "sunba" }
> db.student.find({},{_id:0, age:0})
{ "name" : "zhangsan", "sex" : 1 }
{ "name" : "lisi" }
{ "name" : "wangwu" }
{ "name" : "zhaoliu" }
{ "name" : "qianliu" }
{ "name" : "sunba" }
> db.student.find({},{_id:0, name:1})
{ "name" : "zhangsan" }
{ "name" : "lisi" }
{ "name" : "wangwu" }
{ "name" : "zhaoliu" }
{ "name" : "qianliu" }
{ "name" : "sunba" }

2. Various query methods 


$lt:<
$lte:<=
$gt:>
$gte:>=
$ne:!=
> db.student.find({age:{$lt:30}})
{ "_id" : 1, "name" : "zhangsan", "age" : 27, "sex" : 1 }
{ "_id" : 2, "name" : "lisi", "age" : 27 }
{ "_id" : 4, "name" : "zhaoliu", "age" : 28 }
> db.student.find({age:{$ne:27}})
{ "_id" : 3, "name" : "wangwu", "age" : 30 }
{ "_id" : 4, "name" : "zhaoliu", "age" : 28 }
{ "_id" : 5, "name" : "qianliu", "age" : 33 }
{ "_id" : 6, "name" : "sunba", "age" : 32 }

$in: contains

$nin: does not contain 


> db.student.find({age:{$in:[27,28]}})
{ "_id" : 1, "name" : "zhangsan", "age" : 27, "sex" : 1 }
{ "_id" : 2, "name" : "lisi", "age" : 27 }
{ "_id" : 4, "name" : "zhaoliu", "age" : 28 }
> db.student.find({age:{$nin:[27,28]}})
{ "_id" : 3, "name" : "wangwu", "age" : 30 }
{ "_id" : 5, "name" : "qianliu", "age" : 33 }
{ "_id" : 6, "name" : "sunba", "age" : 32 }

$or: or 


> db.student.find({$or:[{age:{$lt:29}}, {name:"sunba"}]})
{ "_id" : 1, "name" : "zhangsan", "age" : 27, "sex" : 1 }
{ "_id" : 2, "name" : "lisi", "age" : 27 }
{ "_id" : 4, "name" : "zhaoliu", "age" : 28 }
{ "_id" : 6, "name" : "sunba", "age" : 32 }

null: an empty value 


> db.student.find({sex: null})
{ "_id" : 2, "name" : "lisi", "age" : 27 }
{ "_id" : 3, "name" : "wangwu", "age" : 30 }
{ "_id" : 4, "name" : "zhaoliu", "age" : 28 }
{ "_id" : 5, "name" : "qianliu", "age" : 33 }
{ "_id" : 6, "name" : "sunba", "age" : 32 }

$type: the key is of a certain type

double:1
string:2
... 


> db.student.insert({_id:7, name:7, age:70})
WriteResult({ "nInserted" : 1 })
> db.student.find({name: {$type: 2}})
{ "_id" : 1, "name" : "zhangsan", "age" : 27, "sex" : 1 }
{ "_id" : 2, "name" : "lisi", "age" : 27 }
{ "_id" : 3, "name" : "wangwu", "age" : 30 }
{ "_id" : 4, "name" : "zhaoliu", "age" : 28 }
{ "_id" : 5, "name" : "qianliu", "age" : 33 }
{ "_id" : 6, "name" : "sunba", "age" : 32 }
> db.student.find({name: {$type: 1}})
{ "_id" : 7, "name" : 7, "age" : 70 }

Regular expression 


> db.student.find({name: /si\b/})
{ "_id" : 2, "name" : "lisi", "age" : 27 }

db. Collection name.findOne({query condition},{specify key})
Query to meet the conditions of the first data 


> db.student.findOne()
{ "_id" : 1, "name" : "zhangsan", "age" : 27, "sex" : 1 }

db.collection name.find ({query condition},{specify key}).limit (number)
Query the first few pieces of data 


> db.student.find().limit(3)
{ "_id" : 1, "name" : "zhangsan", "age" : 27, "sex" : 1 }
{ "_id" : 2, "name" : "lisi", "age" : 27 }
{ "_id" : 3, "name" : "wangwu", "age" : 30 }

db. Collection name.find({query condition},{specify key}).skip(number)
Skip the first few pieces of data 


> db.student.find({},{name:1})
{ "_id" : 1, "name" : "zhangsan" }
{ "_id" : 2, "name" : "lisi" }
{ "_id" : 3, "name" : "wangwu" }
{ "_id" : 4, "name" : "zhaoliu" }
{ "_id" : 5, "name" : "qianliu" }
{ "_id" : 6, "name" : "sunba" }
> db.student.find({},{_id:0, age:0})
{ "name" : "zhangsan", "sex" : 1 }
{ "name" : "lisi" }
{ "name" : "wangwu" }
{ "name" : "zhaoliu" }
{ "name" : "qianliu" }
{ "name" : "sunba" }
> db.student.find({},{_id:0, name:1})
{ "name" : "zhangsan" }
{ "name" : "lisi" }
{ "name" : "wangwu" }
{ "name" : "zhaoliu" }
{ "name" : "qianliu" }
{ "name" : "sunba" }
0

Paging can be implemented using limit() and skip() 


> db.student.find({},{name:1})
{ "_id" : 1, "name" : "zhangsan" }
{ "_id" : 2, "name" : "lisi" }
{ "_id" : 3, "name" : "wangwu" }
{ "_id" : 4, "name" : "zhaoliu" }
{ "_id" : 5, "name" : "qianliu" }
{ "_id" : 6, "name" : "sunba" }
> db.student.find({},{_id:0, age:0})
{ "name" : "zhangsan", "sex" : 1 }
{ "name" : "lisi" }
{ "name" : "wangwu" }
{ "name" : "zhaoliu" }
{ "name" : "qianliu" }
{ "name" : "sunba" }
> db.student.find({},{_id:0, name:1})
{ "name" : "zhangsan" }
{ "name" : "lisi" }
{ "name" : "wangwu" }
{ "name" : "zhaoliu" }
{ "name" : "qianliu" }
{ "name" : "sunba" }
1

db. Collection name.find().sort({key: number})
A number of 1 means ascending, and a number of 2 means descending 


> db.student.find({},{name:1})
{ "_id" : 1, "name" : "zhangsan" }
{ "_id" : 2, "name" : "lisi" }
{ "_id" : 3, "name" : "wangwu" }
{ "_id" : 4, "name" : "zhaoliu" }
{ "_id" : 5, "name" : "qianliu" }
{ "_id" : 6, "name" : "sunba" }
> db.student.find({},{_id:0, age:0})
{ "name" : "zhangsan", "sex" : 1 }
{ "name" : "lisi" }
{ "name" : "wangwu" }
{ "name" : "zhaoliu" }
{ "name" : "qianliu" }
{ "name" : "sunba" }
> db.student.find({},{_id:0, name:1})
{ "name" : "zhangsan" }
{ "name" : "lisi" }
{ "name" : "wangwu" }
{ "name" : "zhaoliu" }
{ "name" : "qianliu" }
{ "name" : "sunba" }
2

The above content is the MongoDB quickstart notes (4) MongoDB query document operation example code, hope to help you!

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