SQL to MongoDB Mapping Chart
SQL to MongoDB Mapping Chart¶
In addition to the charts that follow, you might want to consider theFrequently 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. |
In MongoDB, the primary key is automatically set to the_id field. |
| aggregation (e.g. group by) | aggregation framework |
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")
|
Seeinsert() andcreateCollection()for more information. |
ALTER TABLE users
ADD join_date DATETIME
|
Collections do not describe or enforce the structure of the constituent documents. See the Data Modeling Considerations for MongoDB Applicationspage for more information. | See update() and$set for more information on changing the structure of documents in a collection. |
ALTER TABLE users
DROP COLUMN join_date
|
Collections do not describe or enforce the structure of the constituent documents. See the Data Modeling Considerations for MongoDB Applicationspage for more information. | See update() and$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(), andskip() 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. |