- 查询:
- MySQL:
- SELECT * FROM user
- Mongo:
- db.user.find()
- MySQL:
- SELECT * FROM user WHERE name = ’starlee’
- Mongo:
- db.user.find({‘name’ : ’starlee’})
- 插入:
- 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’})
- 删除:
- 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 : <= ; $ne : !=
- 更新:
- MySQL:
- UPDATE user SET `age` = 36 WHERE `name` = ’starlee’
- Mongo:
- db.user.update({‘name’ : ’starlee’}, {$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, 35, 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’: {$lt : 20}})
- MySQL:
- SELECT name, sum(marks) FROM user GROUP BY name
- Mongo:
- db.user.group({
- key : {‘name’ : true},
- cond: {‘name’ : ‘foo’},
- reduce: function(obj,prev) { prev.msum += obj.marks; },
- initial: {msum : 0}
- });
- MySQL:
- SELECT name FROM user WHERE age < 20
- Mongo:
- db.user.find(‘this.age < 20′, { name : 1})
- 发现很多人在搜MongoDB循环插入数据,下面把MongoDB循环插入数据的方法添加在下面:
- for(var i=0;i<100;i++)db.test.insert({uid:i,uname:’nosqlfan’+i});
- 上面一次性插入一百条数据,大概结构如下:
- { “_id” : ObjectId(“4c876e519e86023a30dde6b8″), “uid” : 55, “uname” : “nosqlfan55″ }
- { “_id” : ObjectId(“4c876e519e86023a30dde6b9″), “uid” : 56, “uname” : “nosqlfan56″ }
- { “_id” : ObjectId(“4c876e519e86023a30dde6ba”), “uid” : 57, “uname” : “nosqlfan57″ }
- { “_id” : ObjectId(“4c876e519e86023a30dde6bb”), “uid” : 58, “uname” : “nosqlfan58″ }
- { “_id” : ObjectId(“4c876e519e86023a30dde6bc”), “uid” : 59, “uname” : “nosqlfan59″ }
- { “_id” : ObjectId(“4c876e519e86023a30dde6bd”), “uid” : 60, “uname” : “nosqlfan60″ }
- 简易对照表
- SQL Statement Mongo Query Language Statement
- CREATE TABLE USERS (a Number, b Number) implicit; can be done explicitly
- INSERT INTO USERS VALUES(1,1) db.users.insert({a:1,b:1})
- SELECT a,b FROM users db.users.find({}, {a:1,b:1})
- SELECT * FROM users db.users.find()
- SELECT * FROM users WHERE age=33 db.users.find({age:33})
- SELECT a,b FROM users WHERE age=33 db.users.find({age:33}, {a:1,b:1})
- SELECT * FROM users WHERE age=33 ORDER BY name db.users.find({age:33}).sort({ name:1})
- SELECT * FROM users WHERE age>33 db.users.find({ 'age':{$gt:33}})})
- SELECT * FROM users WHERE age<33 db.users.find({ 'age':{$lt:33}})})
- SELECT * FROM users WHERE name LIKE "%Joe%" db.users.find({ name:/Joe/})
- SELECT * FROM users WHERE name LIKE "Joe%" db.users.find({ name:/^Joe/})
- SELECT * FROM users WHERE age>33 AND age<=40 db.users.find({ 'age':{$gt:33,$lte:40}})})
- SELECT * FROM users ORDER BY name DESC db.users.find().sort({ name:-1})
- CREATE INDEX myindexname ON users(name) db.users.ensureIndex({ name:1})
- CREATE INDEX myindexname ON users(name,ts DESC) db.users.ensureIndex({ name:1,ts:-1})
- SELECT * FROM users WHERE a=1 and b='q' db.users.find({a:1,b:'q'})
- SELECT * FROM users LIMIT 10 SKIP 20 db.users.find().limit(10).skip(20)
- SELECT * FROM users WHERE a=1 or b=2 db.users.find( { $or : [ { a : 1 } , { b : 2 } ] } )
- SELECT * FROM users LIMIT 1 db.users.findOne()
- EXPLAIN SELECT * FROM users WHERE z=3 db.users.find({z:3}).explain()
- SELECT DISTINCT last_name FROM users db.users.distinct('last_name')
- SELECT COUNT(*y) FROM users db.users.count()
- SELECT COUNT(*y) FROM users where AGE > 30 db.users.find({age: { '$gt': 30}}).count()
- SELECT COUNT(AGE) from users db.users.find({age: { '$exists': true}}).count()
- UPDATE users SET a=1 WHERE b='q' db.users.update({b:'q'}, {$set:{a:1}}, false, true)
- UPDATE users SET a=a+2 WHERE b='q' db.users.update({b:'q'}, {$inc:{a:2}}, false, true)
- DELETE FROM users WHERE z="abc" db.users.remove({z:'abc'});