Mongodb learning and sorting (basic command learning of users, databases, collections and documents)

One 、 user  

####  Create user  
# roles： Specify the user's role , You can use an empty array to set an empty role for a new user ; stay roles Field , You can specify built-in roles and user-defined roles .role You can choose the role in ：
# Built-In Roles（ Built in characters ）：
#     1、 Database user role ：read、readWrite;
#     2、 Database management role ：dbAdmin、dbOwner、userAdmin;
#     3、 The role of cluster management ：clusterAdmin、clusterManager、clusterMonitor、hostManager;
#     4、 Backup recovery role ：backup、restore;
#     5、 All database roles ：readAnyDatabase、readWriteAnyDatabase、userAdminAnyDatabase、dbAdminAnyDatabase
#     6、 Super user role ：root
#     7、 Internal roles ：__system
#  Specific roles ：
#     Read： Allows the user to read the specified database 
#     readWrite： Allows users to read and write to a specified database 
#     dbAdmin： Allows the user to execute administrative functions in the specified database , Like index creation 、 Delete , View statistics or access system.profile
#     userAdmin： Allow the user to system.users A collection of written , You can find the specified database to create 、 Delete and manage users 
#     clusterAdmin： Only in admin Available in the database , Gives the user administrative rights to all sharding and copy-set related functions .
#     readAnyDatabase： Only in admin Available in the database , Give the user read rights to all databases 
#     readWriteAnyDatabase： Only in admin Available in the database , Gives the user read and write access to all databases 
#     userAdminAnyDatabase： Only in admin Available in the database , That gives the user all the databases userAdmin jurisdiction 
#     dbAdminAnyDatabase： Only in admin Available in the database , That gives the user all the databases dbAdmin jurisdiction .
#     root： Only in admin Available in the database . Super account , Super authority .
db.createUser({ user:'wangjing',pwd:'wangjing',roles:[{role:"userAdminAnyDatabase", db:"admin"}]});

####  Verify user information 
db.auth('wangjing', 'wangjing')

####  Modify the information 
###  Change Password 
db.changeUserPassword("wangjing", "wangjing1")

###  Modify user information 
db.updateUser("wangjing", {roles:[{role:"root", db:"admin"}]})

####  Delete user 
###  Delete user 
db.dropUser("wangjing")

###  Delete all users under the current data 
db.dropAllUsers()

###  View the users under the current data （ User management permission is required ）
show users

Two 、 database

####  Create database 
###  establish  'wangjing_test'  database 
use wangjing_test

###  View the current database 
db

###  View all databases （wangjing_test  non-existent ）
show dbs

###  Insert a piece of data 
db.wangjing_test.insert({"name":"wangjing"})

###  Delete the current database 
db.dropDatabase()

3、 ... and 、 aggregate

###  Create set 
# db.createCollection(name, options)
#  Parameter description ：
#     name:  The name of the collection to be created 
#     options:  Optional parameters ,  Specifies the options for memory size and index 
#     options  It could be the following argument ：
#     capped（ Boolean ） （ Optional ） If  true, Creates a fixed collection . A fixed set is a set with a fixed size , When it reaches its maximum , It automatically overwrites the earliest document . When the value is  true  when , Must specify  size  Parameters .
#     autoIndexId（ Boolean ） （ Optional ） If  true, Automatically in  _id  Field creation index . The default is  false.3.2  This parameter is no longer supported .
#     size（ The number ） （ Optional ） Specifies a maximum value for a fixed set , That is, the number of bytes . If  capped  by  true, You also need to specify this field .
#     max（ The number ） （ Optional ） Specifies the maximum number of documents to contain in a fixed collection .
db.createCollection("wangjing_collection")

###  Query existing collections 
show collections
show tables

###  Delete the collection 
db.wangjing_collection.drop()

Four 、 file

###  Inserted into the document 
#  Use  insert()  or  save() 
#     save()  If  _id  If the primary key exists, update the data , If it doesn't exist, insert data . The method is obsolete in the new version , have access to  db.collection.insertOne()  or  db.collection.replaceOne()  Instead of .
#     insert()  If the inserted data primary key already exists , You'll throw it  org.springframework.dao.DuplicateKeyException  abnormal , Prompt for duplicate primary key , Do not save current data .
#     db.wangjing_collection.save(document)
# 3.2  After the new version  db.collection.insertOne()  and  db.collection.insertMany()
#     db.collection.insertOne(<document>,{writeConcern: <document>})
#     db.collection.insertMany([ <document 1> , <document 2>, ... ],{writeConcern: <document>, ordered: <boolean>})
#  Parameter description ：
#     document： The document to write .
#     writeConcern： Write strategy , The default is  1, That is, it is required to confirm the write operation ,0  Is not required .
#     ordered： Specifies whether to write in order , Default  true, Write in order .
#  If the collection does not exist, it will be created automatically 
db.wangjing_collection.insert({"name":"wangjing","sex":" male ","age":27})

###  View the inserted document 
db.wangjing_collection.find()

###  Update the document 
# db.collection.update(<query>, <update>, { upsert: <boolean>, multi: <boolean>, writeConcern: <document> })
#  Parameter description ：
#     query : update Query criteria for , similar sql update In the query where hinder .
#     update : update Object and some updated operators （ Such as $,$inc...） etc. , It can also be understood as sql update In the query set hinder 
#     upsert :  Optional , This parameter means , If it doesn't exist update The record of , Whether insert objNew,true Insert for , The default is false, Do not insert .
#     multi :  Optional ,mongodb  The default is false, Update only the first record found , If this parameter is zero true, According to the conditions to find out all the records updated .
#     writeConcern : Optional , The level at which an exception is thrown .
db.wangjing_collection.update({"name":"wangjing"}, {$set:{"name":"wangjing1"}})

###  Delete the document 
# db.collection.remove(<query>, { justOne: <boolean>, writeConcern: <document>})
#  Parameter description ：
#     query :（ Optional ） Conditions for deleted documents .
#     justOne : （ Optional ） If it is set to  true  or  1, Only one document is deleted , If this parameter is not set , Or use default values  false, Deletes all documents that match the criteria .
#     writeConcern :（ Optional ） The level at which an exception is thrown .
db.wangjing_collection.remove({'name':'wangjing1'})


###  Query the document 
# db.collection.find(query, projection)
#  Parameter description ：
#     query ： Optional , Use the query operator to specify the query criteria 
#     projection ： Optional , Use the projection operator to specify the returned key . Returns all key values in the document when queried ,  Simply omit the parameter （ The default is omitted ）.
#  Read data in an easy to read way ： pretty() 
# db.collection.find(query, projection).pretty()
#  Return only one document  findOne()
db.wangjing_collection.find({'name':'wangjing'}).pretty()


# MongoDB AND  Conditions 
db.wangjing_collection.find({"name": "wangjing"},{"sex": " male "}).pretty()

# MongoDB OR  Conditions 
db.wangjing_collection.find({$or: [{"name": "wangjing"}, {"sex":" male "}]}).pretty()

# AND  and  OR  A combination of 
db.wangjing_collection.find({"age": {$gt:20}, $or: [{"name": "wangjing"},{"sex": " male "}]}).pretty()

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