data type

  • The table below for MongoDB Several data types commonly used in ：
  • Object ID： file ID
  • String： character string , The most commonly used , Must be effective UTF-8
  • Boolean： Store a Boolean value ,true or false
  • Integer： The whole number can be 32 Bit or 64 position , It depends on the server
  • Double： Store floating point values
  • Arrays： Array or list , Multiple values are stored in a key
  • Object： For embedded documents , That is, a value is a document
  • Null： Storage Null value
  • Timestamp： Time stamp
  • Date： Storing the current date or time UNIX Time format

object id

  • Every document has an attribute , by _id, Make sure every document is unique
  • You can set it yourself _id Inserted into the document
  • If not provided , that MongoDB Provides a unique... For each document _id, The type is objectID
  • objectID It's a 12 Hexadecimal number of bytes
    • front 4 Bytes are the current timestamp
    • Next 3 Byte machine ID
    • Next 2 In bytes MongoDB The service process of id
    • Last 3 A byte is a simple incremental value

Insert

  • grammar 
db. Collection name .insert(document) 
  • When inserting a document , If you don't specify _id Parameters ,MongoDB The document is assigned a unique ObjectId
  • example 1
db.stu.insert({name:'gj',gender:1})
  • example 2
s1={_id:'20160101',name:'hr'}

s1.gender=0

db.stu.insert(s1)

Simple query

  • grammar 
db. Collection name .find()

to update

  • grammar 
db. Collection name .update(

<query>,

<update>,

{multi: <boolean>}

)
  • Parameters query: Query criteria , similar sql sentence update in where part
  • Parameters update: Update Operators , similar sql sentence update in set part
  • Parameters multi: Optional , The default is false, Only the first record found is updated , The value is true It means to update all the documents that meet the conditions
  • example 3： Full document update 
db.stu.update({name:'hr'},{name:'mnc'})
  • example 4： Specify property update , By the operator $set
db.stu.insert({name:'hr',gender:0})

db.stu.update({name:'hr'},{$set:{name:'hys'}})
  • example 5： Modify multiple matched data 
db.stu.update({},{$set:{gender:0}},{multi:true})

preservation

  • grammar 
db. Collection name .save(document) 

  • If the document _id Modify if it already exists , If the document _id Add if not

  • example 6

db.stu.save({_id:'20160102','name':'yk',gender:1})
  • example 7
db.stu.save({_id:'20160102','name':'wyk'})

Delete

  • grammar 
db. Collection name .remove(

<query>,

{

justOne: <boolean>

}

)
  • Parameters query: Optional , Conditions for deleted documents
  • Parameters justOne: Optional , If it is set to true or 1, Only one , Default false, Means to delete multiple
  • example 8： Delete only the first matching 
db.stu.remove({gender:0},{justOne:true})
  • example 9： Delete all 
db.stu.remove({})

About size An example of

  • example 10
  • Create set 
db.createCollection('sub',{capped:true,size:10})
  • Insert the first database query 
db.sub.insert({title:'linux',count:10})

db.sub.find()
  • Insert the second database query 
db.sub.insert({title:'web',count:15})

db.sub.find()
  • Insert the third database query 
db.sub.insert({title:'sql',count:8})

db.sub.find()
  • Insert the fourth database query 
db.sub.insert({title:'django',count:12})

db.sub.find()
  • Insert the fifth database query 
db.sub.insert({title:'python',count:14})

db.sub.find()

Data query

The basic query

  • Method find()： Inquire about 
db. Collection name .find({ Condition document })
  • Method findOne()： Inquire about , Just return the first one 
db. Collection name .findOne({ Condition document })
  • Method pretty()： Format the results 
db. Collection name .find({ Condition document }).pretty()

Comparison operator

  • be equal to , Default is equal to judgment , There are no operators
  • Less than $lt
  • Less than or equal to $lte
  • Greater than $gt
  • Greater than or equal to $gte
  • It's not equal to $ne
  • example 1： The query name is equal to 'gj' Of the students 
db.stu.find({name:'gj'})
  • example 2： The query age is greater than or equal to 18 Of the students 
db.stu.find({age:{$gte:18}})

Logical operators

  • When querying, there can be multiple conditions , Multiple conditions need to be connected by logical operators
  • Logic and ： The default is the relationship between logic and
  • example 3： The query age is greater than or equal to 18, And the gender is 1 Of the students 
db.stu.find({age:{$gte:18},gender:1})
  • Logic or ： Use $or
  • example 4： Query age is greater than 18, Or gender is 0 Of the students 
db.stu.find({$or:[{age:{$gt:18}},{gender:1}]})
  • and and or Use it together
  • example 5： Query age is greater than 18 Or gender is 0 Of the students , And the name of the student is gj
db.stu.find({$or:[{age:{$gte:18}},{gender:1}],name:'gj'})

Range operator

  • Use "$in","$nin" Judge whether it is in a certain range
  • example 6： Query age is 18、28 Of the students 
db.stu.find({age:{$in:[18,28]}})

regular expression

  • Use // or $regex Write regular expressions
  • example 7： Look up the student surnamed Huang 
db.stu.find({name:/^ yellow /})

db.stu.find({name:{$regex:'^ yellow '}}})

Custom query

  • Use $where Then write a function , Return data that meets the criteria
  • example 7： Query age is greater than 30 Of the students 
db.stu.find({$where:function(){return this.age>20}})

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