FROM: SQL to Mongo Mapping Chart
| SQL statement | Mongo statement | |
|---|---|---|
| DDL | CREATE TABLE users (id INT AUTO_INCREMENT PRIMARY KEY, a INT, b INT, age INT, name CHAR(32)) |
implicit; can also be done explicitly with db.createCollection("user1") |
ALTER TABLE users ADD ... |
implicit | |
DROP TABLE users |
db.users.drop() | |
CREATE DATABSE db_name |
implicite | |
SHOW DATABASES |
show dbs | |
USE db_name |
use db_name | |
SHOW TABLES |
show collections | |
CREATE INDEX idx_name ON users(name) |
db.users.ensureIndex({name : 1}) | |
CREATE INDEX idx_name_ts ON users(name, ts DESC) |
db.users.ensureIndex({name : 1, ts : -1}) | |
DROP INDEX idx_name ON users |
db.users.dropIndex({name : 1, ts : -1}) | |
SHOW INDEXES FROM users |
db.users.getIndexes() | |
| DML | INSERT INTO users VALUES(3, 5) |
db.users.insert({a: 3, b: 5}) |
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 ASC |
db.users.find({age : 33}).sort({name : 1}) | |
SELECT * FROM users ORDER BY name DESC |
db.users.find().sort({name : -1}) | |
SELECT * FROM users WHERE age > 33 |
db.users.find({age : {$gt : 33}}) | |
SELECT * FROM users WHERE age != 33 |
db.users.find({age : {$ne : 33}}) | |
SELECT * FROM users WHERE age > 33 AND age <= 44 |
db.users.find({age : {$gt: 33, $lte : 44}}) | |
SELECT * FROM users WHERE name LIKE "%Joe%" |
db.users.find({name : /Joe/}) | |
SELECT * FROM users WHERE id IN (3, 4, 5) |
db.users.find({id, {$in : [3, 4, 5]}}) | |
SELECT * FROM users WHERE id NOT IN (3, 4, 5) |
db.users.find({id, {$nin : [3, 4, 5]}}) | |
SELECT * FROM users WHERE id = 2 |
db.users.find({id , {$all : [2]}}) | |
SELECT * FROM users WHERE a = 1 AND name = 'Joe' |
db.users.find({ a : 1, name : 'Joe'}) | |
SELECT * FROM users WHERE a = 1 OR b = 2 |
db.users.find({$or : [{a : 1}, {b : 2}]}) | |
SELECT * FROM users WHERE name LIKE "Joe%" |
db.users.find({name : /^Joe/}) | |
SELECT * FROM users WHERE name LIKE "%Joe" |
db.users.find({name : /Joe$/}) | |
SELECT * FROM users LIMIT 20, 10 |
db.users.find().limit(10).skip(20) | |
SELECT * FROM users LIMIT 1 |
db.users.findOne() | |
SELECT id FROM users u , users_extend e WHERE u.user_id = e.user_id AND e.c = 12345 |
db.users.find({"users_extend.c" : 12345}, {_id : 1}) | |
SELECT customer.name FROM customers, orders WHERE orders.id = "q139" AND orders.custid = customers.id |
var o = db.orders.findOne({_id : "q139"}) var name = db.customers.findOne({_id : o.custid}) | |
EXPLAIN SELECT * FROM users WHERE a = 3 |
db.users.find({a : 3}).explain() | |
UPDATE users SET a = 1 WHERE b = 2 |
db.users.update({b : 2}, {$set : {a : 1}}, false, true) | |
UPDATE users SET a = a + 2 WHERE b = 2 |
db.users.update({b : 2}, {$inc: {a : 2}}, false, true) | |
DELETE FROM users WHERE a = 3 |
db.users.remove({ a : 3}) | |
DELETE FROM users |
db.users.remove() |
MongoDB 中可用到的其它语句:
- 存在某字段:
db.users.find({a : {$exists : true}}) - 不存在某字段:
db.users.find({a : {$exists : false}}) - 查询指定长度:
db.users.find({name : {$size : 10}}) - 查询字段是数组:
db.users.find({name.first; : 'Joe', name.last : 'David'}) var cursor = db.users.find()while(cursor.hasNext()) printjson(curson.next())db.users.find().forEach(printjson)db.users.find().toArray()