aponxi/sql-mongo_comparison.md

## sql-mongo_comparison.md

      
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              sql-mongo_comparison.md
            
          
    SQL to MongoDB Mapping Chart

SQL to MongoDB Mapping Chart¶

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