基于MySQL到MongoDB简易对照表的详解

发布时间：2020-05-28 17:41:08 所属栏目：PHP 来源：互联网

导读：本篇文章是对从MySQL到MongoDB的简易对照表进行了详细的分析介绍，需要的朋友参考下

MySQL:

SELECT * FROM user

Mongo:

db.user.find()

MySQL:

SELECT * FROM user WHERE name = 'starlee'

Mongo:

db.user.find({‘name' : 'starlee'})

MySQL:

INSERT INOT user (`name`,`age`) values ('starlee',25)

Mongo:

db.user.insert({‘name' : 'starlee',‘age' : 25})
如果你想在MySQL里添加一个字段，你必须：
ALTER TABLE user….
但在MongoDB里你只需要：
db.user.insert({‘name' : 'starlee',‘age' : 25,‘email' : 'starlee@starlee.com'})

MySQL:

DELETE * FROM user

Mongo:

db.user.remove({})

MySQL:

DELETE FROM user WHERE age < 30

Mongo:

db.user.remove({‘age' : {$lt : 30}})
$gt : > ; $gte : >= ; $lt : < ; $lte : <= ; $ne : !=

MySQL:

UPDATE user SET `age` = 36 WHERE `name` = 'starlee'

Mongo:

db.user.update({‘name' : 'starlee'},{$set : {‘age' : 36}})

MySQL:

UPDATE user SET `age` = `age` + 3 WHERE `name` = 'starlee'

Mongo:

db.user.update({‘name' : 'starlee'},{$inc : {‘age' : 3}})

MySQL:

SELECT COUNT(*) FROM user WHERE `name` = 'starlee'

Mongo:

db.user.find({‘name' : 'starlee'}).count()

MySQL

:
SELECT * FROM user limit 10,20

Mongo:

db.user.find().skip(10).limit(20)

MySQL:

SELECT * FROM user WHERE `age` IN (25,35,45)

Mongo:

db.user.find({‘age' : {$in : [25,45]}})

MySQL:

SELECT * FROM user ORDER BY age DESC

Mongo:

db.user.find().sort({‘age' : -1})

MySQL:

SELECT DISTINCT(name) FROM user WHERE age > 20

Mongo:

db.user.distinct(‘name',{‘age': {$lt : 20}})

MySQL:

SELECT name,sum(marks) FROM user GROUP BY name

Mongo:

db.user.group({
key : {‘name' : true},
cond: {‘name' : ‘foo'},
reduce: function(obj,prev) { prev.msum += obj.marks; },
initial: {msum : 0}
});

MySQL:

SELECT name FROM user WHERE age < 20

Mongo:

db.user.find(‘this.age < 20′,{name : 1})
发现很多人在搜MongoDB循环插入数据，下面把MongoDB循环插入数据的方法添加在下面：
for(var i=0;i<100;i++)db.test.insert({uid:i,uname:'nosqlfan'+i});

{ “_id” : ObjectId(“4c876e519e86023a30dde6b8″),“uid” : 55,“uname” : “nosqlfan55″ }
{ “_id” : ObjectId(“4c876e519e86023a30dde6b9″),“uid” : 56,“uname” : “nosqlfan56″ }
{ “_id” : ObjectId(“4c876e519e86023a30dde6ba”),“uid” : 57,“uname” : “nosqlfan57″ }
{ “_id” : ObjectId(“4c876e519e86023a30dde6bb”),“uid” : 58,“uname” : “nosqlfan58″ }
{ “_id” : ObjectId(“4c876e519e86023a30dde6bc”),“uid” : 59,“uname” : “nosqlfan59″ }
{ “_id” : ObjectId(“4c876e519e86023a30dde6bd”),“uid” : 60,“uname” : “nosqlfan60″ }

SQL Statement Mongo Query Language Statement
CREATE TABLE USERS (a Number,b Number) implicit; can be done explicitly
INSERT INTO USERS VALUES(1,1) db.users.insert({a:1,b:1})
SELECT a,b FROM users db.users.find({},{a:1,b:1})
SELECT * FROM users db.users.find()
SELECT * FROM users WHERE age=33 db.users.find({age:33})
SELECT a,b FROM users WHERE age=33 db.users.find({age:33},b:1})
SELECT * FROM users WHERE age=33 ORDER BY name db.users.find({age:33}).sort({name:1})
SELECT * FROM users WHERE age>33 db.users.find({'age':{$gt:33}})})
SELECT * FROM users WHERE age<33 db.users.find({'age':{$lt:33}})})
SELECT * FROM users WHERE name LIKE "%Joe%" db.users.find({name:/Joe

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