MySQL vs MongoDB operation contrast, and the difference

MySQL and MongoDB are common open source Databases , but MySQL is a traditional relational database, MongoDB is a non-relational database, also known as a document database, is a NoSQL database. They each have their own merits, the key is to see where to use. So the SQL (full name structured Query Language) statements that we know are not applicable to MongoDB, because SQL statements are the standard language for relational databases.

Take our company project for example, in the early project, all in the use of relational database, used SQLSERVER,ORACLE,DB2, and then all turned to MySQL, the reason is very simple: MySQL in the performance of a good situation, has the advantage of open source. MySQL's transactional and high-performance is our main consideration. Later, because the project to use the user system, there will be a large number of user data to interact-mass storage, MySQL read and write speed will have a little bottleneck, so we think of the recent development of a very strong nosql. In the early memcache of NoSQL, there are many non-relational databases, such as Redis,mongodb. After a period of testing, Redis and MongoDB read and write faster than MySQL has a clear advantage.     The write speed of MongoDB is about 2.5w/times per second. MongoDB is stored in the Bson structure (binary), which has obvious advantages for mass data storage. Here is a comparison of the operation commands between MongoDB and MySQL.

Role	Mysql	Mongodb
Server daemon	Mysqld	Mongod
Client Tools	Mysql	Mongo
Logical Backup tool	Mysqldump	Mongodump
Logical Restore Tool	Mysql	Mongorestore
Data Export Tool	Mysqldump	Mongoexport
Data Import Tool	Source	Mongoimport
Create a new user and authorize	Grant All on * * to [email protected] ' localhost ' Identified by ' passwd ';	Db.adduser ("User", "PSW") Db.auth ("User", "PSW")
Show Library List	show databases;	Show DBS
Go into the library	Use dbname;	Use dbname
Show Table List	Show tables;	Show collections
Querying master-Slave status	show slave status;	Rs.status
Create a library	Create database name;	No need to create a separate, direct use in
Create a table	CREATE TABLE tname (id int);	No need to create separately, insert data directly
Delete a table	drop table tname;	Db.tname.drop ()
Delete a library	Drop Database dbname;	First go in the library, Db.dropdatabase ()
Inserting records	INSERT into Tname (ID) value (2);	Db.tname.insert ({id:2})
Deleting records	Delete from tname where id=2;	Db.tname.remove ({id:2})
Modify/Update records	Update Tname Set id=3 where id=2;	Db.tname.update ({id:2}, {$set: {id:3}},false,true)
Querying All records	SELECT * from Tname;	Db.tname.find ()
Querying all Columns	Select ID from Tname;	Db.tname.find ({},{id:1})
Conditional query	SELECT * from Tname where id=2;	Db.tname.find ({id:2})
Conditional query	SELECT * FROM Tname where ID < 2;	Db.tname.find ({id:{$lt: 2}})
Conditional query	SELECT * from Tname where ID >=2;	Db.tname.find ({id:{$gte: 2}})
Conditional query	SELECT * FROM Tname where id=2 and Name= ' Steve ';	Db.tname.find ({id:2, Name: ' Steve '})
Conditional query	SELECT * FROM Tname where id=2 Or name= ' Steve ';	Db.tname.find ($or: [{id:2}, {name: ' Steve '}])
Conditional query	SELECT * from Tname limit 1;	Db.tname.findOne ()
Fuzzy query	SELECT * from Tname where name Like "%ste%";	Db.tname.find ({name:/ste/})
Fuzzy query	SELECT * from Tname where name Like "ste%";	Db.tname.find ({name:/^ste/})
Get table Record Count	Select COUNT (id) from Tname;	Db.tname.count ()
Get conditional The number of records	Select COUNT (id) from Tname where id=2;	Db.tname.find ({id:2}). Count ()
Remove when querying Duplicate value	SELECT DISTINCT (last_name) From Tname;	Db.tname.distinct (' last_name ')
A query that is being sorted	Select *from tname order by ID;	Db.tname.find (). Sort ({id:1})
Inverse sort Query	Select *from tname ORDER BY id Desc;	Db.tname.find (). Sort ({id:-1})
Fetch storage Path	Explain select * FROM Tname where id=3;	Db.tname.find ({id=3}). Explain ()

Especially note: MongoDB Inserts multiple field syntax > Db.user.insert ({id:1,name: ' Steve ', Sex: ' Male '}) correctly > Db.user.insert ({id:2},{name: ' Bear '},{sex: ' Female '}) error

MySQL vs MongoDB operation contrast, and the difference