SQL to Mongo correspondence table

March 21, 2021Databases MongoDB MySQL

This list is the PHP version »SQL to Mongo correspondence table (there is a more general version in the official MongoDB manual).

SQL query	Mongo query statement
CREATE TABLE USERS (a Number, b Number)	Implicit creation, or MongoDB::createCollection() .
INSERT INTO USERS VALUES(1,1)	$db->users->insert(array(“a” => 1, “b” => 1));
SELECT a,b FROM users	$db->users->find(array(), array(“a” => 1, “b” => 1));
SELECT * FROM users WHERE age=33	$db->users->find(array(“age” => 33));
SELECT a,b FROM users WHERE age=33	$db->users->find(array(“age” => 33), array(“a” => 1, “b” => 1));
SELECT a,b FROM users WHERE age=33 ORDER BY name	$db->users->find(array(“age” => 33), array(“a” => 1, “b” => 1))->sort(array(“name” => 1)) ;
SELECT * FROM users WHERE age>33	$db->users->find(array(“age” => array(‘$gt’ => 33)));
SELECT * FROM users WHERE age<33	$db->users->find(array(“age” => array(‘$lt’ => 33)));
SELECT * FROM users WHERE name LIKE “%Joe%”	$db->users->find(array(“name” => new MongoRegex(“/Joe/”)));
SELECT * FROM users WHERE name LIKE “Joe%”	$db->users->find(array(“name” => new MongoRegex(“/^Joe/”)));
SELECT * FROM users WHERE age>33 AND age<=40	$db->users->find(array(“age” => array(‘$gt’ => 33,’$lte’ => 40)));
SELECT * FROM users ORDER BY name DESC	$db->users->find()->sort(array(“name” => -1));
CREATE INDEX myindexname ON users(name)	$db->users->ensureIndex(array(“name” => 1));
CREATE INDEX myindexname ON users(name,ts DESC)	$db->users->ensureIndex(array(“name” => 1, “ts” => -1));
SELECT * FROM users WHERE a=1 and b=’q’	$db->users->find(array(“a” => 1, “b” => “q”));
SELECT * FROM users LIMIT 20, 10	$db->users->find()->limit(10)->skip(20);
SELECT * FROM users WHERE a=1 or b=2	$db->users->find(array(‘$or’ => array(array(“a” => 1), array(“b” => 2))));
SELECT * FROM users LIMIT 1	$db->users->find()->limit(1);
EXPLAIN SELECT * FROM users WHERE z=3	$db->users->find(array(“z” => 3))->explain()
SELECT DISTINCT last_name FROM users	$db->command(array(“distinct” => “users”, “key” => “last_name”));
SELECT COUNT(*y) FROM users	$db->users->count();
SELECT COUNT(*y) FROM users where AGE> 30	$db->users->find(array(“age” => array(‘$gt’ => 30)))->count();
SELECT COUNT(AGE) from users	$db->users->find(array(“age” => array(‘$exists’ => true)))->count();
UPDATE users SET a=1 WHERE b=’q’	$db->users->update(array(“b” => “q”), array(‘$set’ => array(“a” => 1)));
UPDATE users SET a=a+2 WHERE b=’q’	$db->users->update(array(“b” => “q”), array(‘$inc’ => array(“a” => 2)));
DELETE FROM users WHERE z=”abc”	$db->users->remove(array(“z” => “abc”));

Inline, reference selection

More suitable for inline	More suitable for reference
Subdocument is smaller	Subdocument is larger
Data will not change regularly	Data changes frequently
The final data is consistent	The data in the intermediate stage must be consistent
Document data increased slightly	Document data increased significantly
Data usually needs to perform a second query to obtain	Data is usually not included in the results
Fast reading	Fast write