MySql to mongo
Dec 17, 2020 Janaki Mahapatra, Database
SQL SELECT Statements | MongoDB find() Statements |
---|---|
SELECT * FROM people | db.people.find() |
SELECT id, user_id, status FROM people | db.people.find( { }, { user_id: 1, status: 1 } ) |
SELECT user_id, status FROM people | db.people.find( { }, { user_id: 1, status: 1, _id: 0 } ) |
SELECT * FROM people WHERE status = "A" | db.people.find( { status: "A" } ) |
SELECT user_id, status FROM people WHERE status = "A" | db.people.find( { status: "A" }, { user_id: 1, status: 1, _id: 0 } ) |
SELECT * FROM people WHERE status != "A" | db.people.find( { status: { $ne: "A" } } ) |
SELECT * FROM people WHERE status = "A" AND age = 50 | db.people.find( { status: "A", age: 50 } ) |
SELECT * FROM people WHERE status = "A" OR age = 50 | db.people.find( { $or: [ { status: "A" } , { age: 50 } ] } ) |
SELECT * FROM people WHERE age > 25 | db.people.find( { age: { $gt: 25 } } ) |
SELECT * FROM people WHERE age < 25 | db.people.find( { age: { $lt: 25 } } ) |
SELECT * FROM people WHERE age > 25 AND age <= 50 | db.people.find( { age: { $gt: 25, $lte: 50 } } ) |
SELECT * FROM people WHERE user_id like "%bc%" | db.people.find( { user_id: /bc/ } ) -or- db.people.find( { user_id: { $regex: /bc/ } } ) |
SELECT * FROM people WHERE user_id like "bc%" | db.people.find( { user_id: /^bc/ } ) -or- db.people.find( { user_id: { $regex: /^bc/ } } ) |
SELECT * FROM people WHERE status = "A" ORDER BY user_id ASC | db.people.find( { status: "A" } ).sort( { user_id: 1 } ) |
SELECT * FROM people WHERE status = "A" ORDER BY user_id DESC | db.people.find( { status: "A" } ).sort( { user_id: -1 } ) |
SELECT COUNT(*) FROM people | db.people.count() or db.people.find().count() |
SELECT COUNT(user_id) FROM people | db.people.count( { user_id: { $exists: true } } ) or db.people.find( { user_id: { $exists: true } } ).count() |
SELECT COUNT(*) FROM people WHERE age > 30 | db.people.count( { age: { $gt: 30 } } ) or db.people.find( { age: { $gt: 30 } } ).count() |
SELECT DISTINCT(status) FROM people | db.people.aggregate( [ { $group : { _id : "$status" } } ] ) or, for distinct value sets that do not exceed the BSON size limit db.people.distinct( "status" ) |
SELECT * FROM people LIMIT 1 | db.people.findOne() or db.people.find().limit(1) |
SELECT * FROM people LIMIT 5 SKIP 10 | db.people.find().limit(5).skip(10) |
EXPLAIN SELECT * FROM people WHERE status = "A" | db.people.find( { status: "A" } ).explain() |