SQL to Mongo Mapping Chart

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MySQL Program	Mongo Program
`mysqld`	`mongod`
`mysql`	`mongo`

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 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 ORDER BY name DESC	db.users.find().sort({name:-1})
CREATE INDEX myindexname ON users(name)	db.users.ensureIndex({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 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)

SQL to Mongo Mapping Chart

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