MongoDb学习笔记二 与传统SQL的比对

本文详细对比了SQL和MongoDB的查询语法,包括创建表、插入数据、选择查询、条件查询、排序、聚合等常见操作,并提供了相应的MongoDB查询语言示例。

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下面是官方的比对,很清晰明了

更多资料:http://www.mongodb.org/display/DOCS/Manual

SQL to Mongo Mapping Chart

MySQL executableOracle executableMongo executable
mysqld
oracle
mongod
mysql
sqlplus
mongo
MySQL termMongo term
databasedatabase
tablecollection
indexindex
rowBSON document
columnBSON field
joinembedding and linking
primary key_id field

MongoDB queries are expressed as JSON (BSON) objects.  The following 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 (BSON). However, the actual verb (e.g. "find") is done in one's regular programming language; thus 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 Statement
CREATE TABLE USERS (a Number, b Number)
implicit; can also be done explicitly with
db.createCollection("mycoll")
ALTER TABLE users ADD ...
implicit
  
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
db.users.find({age:33}).sort({name:1})
SELECT * FROM users WHERE age>33
db.users.find({age:{$gt:33}})
SELECT * FROM users WHERE age!=33
db.users.find({age:{$ne: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'});

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