SQL to Mongo Mapping Chart

http://www.cnblogs.com/cxd4321/archive/2011/06/03/2071176.html

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MongoDB queries are expressed as JSON (BSON) objects.  This quick reference chart shows examples as both SQL and in Mongo Query Language syntax. 

The query expression in MongoDB (and other things, such as index key patterns) is represented as JSON.  However, the actual verb (e.g. "find") is done in one's regular programming language.  The exact forms of these verbs vary by language.  The examples below are Javascript and can be executed from the mongo shell.

SQL Statement 
Mongo Query Language Statement 

CREATE TABLE USERS (a Number, b Number)

implicit; can also be done [explicitly] with

db.createCollection("mycoll")

  

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})

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()

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()

  

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})

  

EXPLAIN SELECT * FROM users WHERE z=3

db.users.find({z:3}).explain()

  

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'});