In addition to the charts that follow, you might want to consider the Frequently Asked Questions section for a selection of common questions about MongoDB.

Executables

The following table presents the MySQL/Oracle executables and the corresponding MongoDB executables.

  MySQL/Oracle MongoDB
Database Server mysqld/oracle mongod
Database Client mysql/sqlplus mongo

Terminology and Concepts

The following table presents the various SQL terminology and concepts and the corresponding MongoDB terminology and concepts.

SQL Terms/Concepts MongoDB Terms/Concepts
database database
table collection
row document or BSON document
column field
index index
table joins embedded documents and linking

primary key

Specify any unique column or column combination as primary key.

primary key

In MongoDB, the primary key is automatically set to the _id field.
aggregation (e.g. group by)

aggregation framework

See the SQL to Aggregation Framework Mapping Chart.

Examples

The following table presents the various SQL statements and the corresponding MongoDB statements. The examples in the table assume the following conditions:

  • The SQL examples assume a table named users.

  • The MongoDB examples assume a collection named users that contain documents of the following prototype:

    {
    
  _id: ObjectID("509a8fb2f3f4948bd2f983a0"),
    
  user_id: "abc123",
    
  age: 55,
    
  status: 'A'
    
}

Create and Alter

The following table presents the various SQL statements related to table-level actions and the corresponding MongoDB statements.

SQL Schema Statements MongoDB Schema Statements Reference 
CREATE TABLE users (

    id MEDIUMINT NOT NULL

        AUTO_INCREMENT,

    user_id Varchar(30),

    age Number,

    status char(1),

    PRIMARY KEY (id)

)

Implicitly created on first insert operation. The primary key _id is automatically added if _id field is not specified.

db.users.insert( {

    user_id: "abc123",

    age: 55,

    status: "A"

 } )

However, you can also explicitly create a collection:

db.createCollection("users")
See insert() and createCollection() for more information. 
ALTER TABLE users

ADD join_date DATETIME
Collections do not describe or enforce the structure of the constituent documents. See the Schema Design wiki page for more information. See update() and $set for more information on changing the structure of documents in a collection. 
ALTER TABLE users

DROP COLUMN join_date
Collections do not describe or enforce the structure of the constituent documents. See the Schema Design wiki page for more information. See update() and $set for more information on changing the structure of documents in a collection. 
CREATE INDEX idx_user_id_asc

ON users(user_id)

db.users.ensureIndex( { user_id: 1 } )
See ensureIndex() and indexes for more information. 
CREATE INDEX

       idx_user_id_asc_age_desc

ON users(user_id, age DESC)

db.users.ensureIndex( { user_id: 1, age: -1 } )
See ensureIndex() and indexes for more information. 
DROP TABLE users

db.users.drop()
See drop() for more information.

Insert

The following table presents the various SQL statements related to inserting records into tables and the corresponding MongoDB statements.

SQL INSERT Statements MongoDB insert() Statements Reference 
INSERT INTO users(user_id,

                  age,

                  status)

VALUES ("bcd001",

        45,

        "A")

db.users.insert( {

       user_id: "bcd001",

       age: 45,

       status: "A"

} )
See insert() for more information.

Select

The following table presents the various SQL statements related to reading records from tables and the corresponding MongoDB statements.

SQL SELECT Statements MongoDB find() Statements Reference 
SELECT *

FROM users

db.users.find()
See find() for more information. 
SELECT id, user_id, status

FROM users

db.users.find(

    { },

    { user_id: 1, status: 1 }

)
See find() for more information. 
SELECT user_id, status

FROM users

db.users.find(

    { },

    { user_id: 1, status: 1, _id: 0 }

)
See find() for more information. 
SELECT *

FROM users

WHERE status = "A"

db.users.find(

    { status: "A" }

)
See find() for more information. 
SELECT user_id, status

FROM users

WHERE status = "A"

db.users.find(

    { status: "A" },

    { user_id: 1, status: 1, _id: 0 }

)
See find() for more information. 
SELECT *

FROM users

WHERE status != "A"

db.users.find(

    { status: { $ne: "A" } }

)
See find() and $ne for more information. 
SELECT *

FROM users

WHERE status = "A"

AND age = 50

db.users.find(

    { status: "A",

      age: 50 }

)
See find() and $and for more information. 
SELECT *

FROM users

WHERE status = "A"

OR age = 50

db.users.find(

    { $or: [ { status: "A" } ,

             { age: 50 } ] }

)
See find() and $or for more information. 
SELECT *

FROM users

WHERE age > 25

db.users.find(

    { age: { $gt: 25 } }

)
See find() and $gt for more information. 
SELECT *

FROM users

WHERE age < 25

db.users.find(

   { age: { $lt: 25 } }

)
See find() and $lt for more information. 
SELECT *

FROM users

WHERE age > 25

AND   age <= 50

db.users.find(

   { age: { $gt: 25, $lte: 50 } }

)
See find(), $gt, and $lte for more information. 
SELECT *

FROM users

WHERE user_id like "%bc%"

db.users.find(

   { user_id: /bc/ }

)
See find() and $regex for more information. 
SELECT *

FROM users

WHERE user_id like "bc%"

db.users.find(

   { user_id: /^bc/ }

)
See find() and $regex for more information. 
SELECT *

FROM users

WHERE status = "A"

ORDER BY user_id ASC

db.users.find( { status: "A" } ).sort( { user_id: 1 } )
See find() and sort() for more information. 
SELECT *

FROM users

WHERE status = "A"

ORDER BY user_id DESC

db.users.find( { status: "A" } ).sort( { user_id: -1 } )
See find() and sort() for more information. 
SELECT COUNT(*)

FROM users

db.users.count()

or

db.users.find().count()
See find() and count() for more information. 
SELECT COUNT(user_id)

FROM users

db.users.count( { user_id: { $exists: true } } )

or

db.users.find( { user_id: { $exists: true } } ).count()
See find(), count(), and $exists for more information. 
SELECT COUNT(*)

FROM users

WHERE age > 30

db.users.count( { age: { $gt: 30 } } )

or

db.users.find( { age: { $gt: 30 } } ).count()
See find(), count(), and $gt for more information. 
SELECT DISTINCT(status)

FROM users

db.users.distinct( "status" )
See find() and distinct() for more information. 
SELECT *

FROM users

LIMIT 1

db.users.findOne()

or

db.users.find().limit(1)
See find(), findOne(), and limit() for more information. 
SELECT *

FROM users

LIMIT 5

SKIP 10

db.users.find().limit(5).skip(10)
See find(), limit(), and skip() for more information. 
EXPLAIN SELECT *

FROM users

WHERE status = "A"

db.users.find( { status: "A" } ).explain()
See find() and explain() for more information.

Update Records

The following table presents the various SQL statements related to updating existing records in tables and the corresponding MongoDB statements.

SQL Update Statements MongoDB update() Statements Reference 
UPDATE users

SET status = "C"

WHERE age > 25

db.users.update(

   { age: { $gt: 25 } },

   { $set: { status: "C" } },

   { multi: true }

)
See update(), $gt, and $set for more information. 
UPDATE users

SET age = age + 3

WHERE status = "A"

db.users.update(

   { status: "A" } ,

   { $inc: { age: 3 } },

   { multi: true }

)
See update(), $inc, and $set for more information.

Delete Records

The following table presents the various SQL statements related to deleting records from tables and the corresponding MongoDB statements.

SQL Delete Statements MongoDB remove() Statements Reference 
DELETE FROM users

WHERE status = "D"

db.users.remove( { status: "D" } )
See remove() for more information. 
DELETE FROM users

db.users.remove( )
See remove() for more information.

Mongodb 与 SQL 语句对照表的更多相关文章

  1. mongodb与sql语句对照表

    inert into users value(3,5) db.users.insert({a:3,b:5})     select a,b from users db.users.find({}, { ...

  2. MongoDB对应SQL语句

    -------------------MongoDB对应SQL语句------------------- 1.Create and Alter     1.     sql:         crea ...

  3. mongodb 跟踪SQL语句及慢查询收集

    有个需求:跟踪mongodb的SQL语句及慢查询收集 第一步:通过mongodb自带函数可以查看在一段时间内DML语句的运行次数. 在bin目录下面运行  ./mongostat -port 端口号  ...

  4. Mongodb 与sql 语句对照

    此处用mysql中的sql语句做例子,C# 驱动用的是samus,也就是上文中介绍的第一种. 引入项目MongoDB.dll //创建Mongo连接 var mongo = new Mongo(&qu ...

  5. mongodb与sql语句对比

    左边是mongodb查询语句,右边是sql语句.对照着用,挺方便. db.users.find() select * from users db.users.find({"age" ...

  6. mongodb的sql日志

    在Yii2中是没有打印出mongodb的sql语句,故借用下log来查看吧. 在网上有说可以使用$model->find()->createCommand()->getRawSql( ...

  7. Mongodb操作之查询（循序渐进对比SQL语句）

    工具推荐:Robomongo,可自行百度寻找下载源,个人比较推荐这个工具,相比较mongoVUE则更加灵活. 集合简单查询方法 mongodb语法:db.collection.find()  //co ...

  8. Mongodb操作之查询（循序渐进对比SQL语句）（转http://www.tuicool.com/articles/UzQj6rF）

    工具推荐:Robomongo,可自行百度寻找下载源,个人比较推荐这个工具,相比较mongoVUE则更加灵活. 集合简单查询方法 mongodb语法:db.collection.find()  //co ...

  9. mongodb查询语句与sql语句对比

    左边是mongodb查询语句,右边是sql语句.对照着用,挺方便. db.users.find() select * from users db.users.find({"age" ...

随机推荐

  1. where T:new() 是什么意思

    经常看到方法后面加where T:new() ,下面来解释下 比如如下这个方法   protected static T CreateNewInstance<T>() where T :  ...

  2. EasyUI_tabs和layout布局, 点击链接打开标签, 重复点击选中标签

    <%@ page language="java" contentType="text/html; charset=UTF-8" pageEncoding= ...

  3. jquery 使用方法(转载)

    原文地址:http://www.cnblogs.com/Chenfengtao/archive/2012/01/12/2320490.html jQuery是目前使用最广泛的javascript函数库 ...

  4. JAVA 框架 Spring Cache For Redis.

    一.概述 缓存(Caching)可以存储经常会用到的信息,这样每次需要的时候,这些信息都是立即可用的. 常用的缓存数据库: Redis   使用内存存储(in-memory)的非关系数据库,字符串.列 ...

  5. [leetcode]381. Insert Delete GetRandom O(1) - Duplicates allowed常数时间插入删除取随机值

    Design a data structure that supports all following operations in average O(1) time. Note: Duplicate ...

  6. Tortoise SVN 使用笔记

    最近一个项目,团队使用的是SVN来控制版本,所以顺便学习下SVN的知识.在Windows上,肯定是用图形化客户端Tortoise SVN在加速我们的工作. 首先,在一个准备用在工作目录的文件夹下,点击 ...

  7. JTemplate学习（一）

    使用模板绑定数据,可以嵌套循环 参考:http://www.doc88.com/p-6621237324128.html <!DOCTYPE html PUBLIC "-//W3C// ...

  8. js取当前页面名称

    // 取当前页面名称(不带后缀名)    function pageName()    {        var a = location.href;        var b = a.split(& ...

  9. 原生JS获取地址了参数

    方法一:采用正则表达式获取地址栏参数:( 强烈推荐,既实用又方便!) function GetQueryString(name) {      var reg = new RegExp("( ...

  10. 【转】MEF程序设计指南一：在应用程序中宿主MEF

    在应用程序中宿主MEF其实非常简单,只需要创建一个组合容器对象(CompositionContainer)的实例,然后将需要组合的部件(Parts)和当前宿主程序添加到容器中即可.首先需要添加MEF框 ...