注册 登录  
 加关注
查看详情
   显示下一条  |  关闭
温馨提示!由于新浪微博认证机制调整,您的新浪微博帐号绑定已过期,请重新绑定!立即重新绑定新浪微博》  |  关闭

obsolete

wanna go

 
 
 

日志

 
 

SQL to MongoDB Mapping Chart?  

2013-08-08 17:32:01|  分类: 默认分类 |  标签: |举报 |字号 订阅

  下载LOFTER 我的照片书  |
http://docs.mongodb.org/manual/reference/sql-comparison/


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/OracleMongoDB
Database Servermysqld/oraclemongod
Database Clientmysql/sqlplusmongo

Terminology and Concepts

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

SQL Terms/ConceptsMongoDB Terms/Concepts
databasedatabase
tablecollection
rowdocument or BSON document
columnfield
indexindex
table joinsembedded 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 StatementsMongoDB Schema StatementsReference
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() andcreateCollection()for more information.
ALTER TABLE users
ADD join_date DATETIME

Collections do not describe or enforce the structure of its documents; i.e. there is no structural alteration at the collection level.

However, at the document level, update() operations can add fields to existing documents using the $set operator.

db.users.update(
    { },
    { $set: { join_date: new Date() } },
    { multi: true }
)
See the Data Modeling Considerations for MongoDB Applications,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 its documents; i.e. there is no structural alteration at the collection level.

However, at the document level, update() operations can remove fields from documents using the $unset operator.

db.users.update(
    { },
    { $unset: { join_date: "" } },
    { multi: true }
)
See Data Modeling Considerations for MongoDB Applications,update(), and $unsetfor 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 StatementsMongoDB insert() StatementsReference
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 StatementsMongoDB find() StatementsReference
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 $regexfor more information.
SELECT *
FROM users
WHERE user_id like "bc%"
db.users.find(
   { user_id: /^bc/ }
)
See find()and $regexfor 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 $existsfor 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()anddistinct()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()andexplain()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 StatementsMongoDB update() StatementsReference
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 StatementsMongoDB remove() StatementsReference
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.
      评论这张
     
    阅读(788)| 评论(0)
    推荐 转载

    历史上的今天

    在LOFTER的更多文章

    评论

    <#--最新日志,群博日志--> <#--推荐日志--> <#--引用记录--> <#--博主推荐--> <#--随机阅读--> <#--首页推荐--> <#--历史上的今天--> <#--被推荐日志--> <#--上一篇,下一篇--> <#-- 热度 --> <#-- 网易新闻广告 --> <#--右边模块结构--> <#--评论模块结构--> <#--引用模块结构--> <#--博主发起的投票-->
     
     
     
     
     
     
     
     
     
     
     
     
     
     

    页脚

    网易公司版权所有 ©1997-2018