SQL to MongoDB Mapping - CRUD Operations
SQL and MongoDB are two different types of databases that use different data models and query languages. In this page, we will discuss how to map SQL CRUD operations to MongoDB.
Syntax
Here's a mapping of SQL to MongoDB syntax for CRUD operations.
| SQL | MongoDB |
|---|---|
| SELECT * FROM table | db.table.find() |
| SELECT * FROM table WHERE field = value | db.table.find({ field: value }) |
| INSERT INTO table (field1, field2) VALUES (value1, value2) | db.table.insertOne({ field1: value1, field2: value2 }) |
| UPDATE table SET field = value WHERE id = value | db.table.updateOne({ _id: value }, { $set: { field: value } }) |
| DELETE FROM table WHERE id = value | db.table.deleteOne({ _id: value }) |
Example
Here's an example of a SQL query and its equivalent MongoDB query.
SELECT * FROM Employees WHERE id = 1;
db.employees.findOne({ "id": 1 })
Output
The output of a MongoDB query is similar to that of a SQL query. The result set is returned as a collection of documents.
Explanation
SQL and MongoDB use different data models and query languages, so it's important to understand how to map SQL queries to MongoDB. One key difference between SQL and MongoDB is that while SQL is relational, MongoDB is document-oriented. This means that MongoDB stores data in JSON-like documents instead of tables.
Use
Mapping SQL to MongoDB is useful when migrating data from a SQL database to a MongoDB database. It's also useful when developing an application that needs to perform CRUD operations on data stored in a MongoDB database.
Important Points
- SQL and MongoDB use different data models and query languages.
- MongoDB is document-oriented, while SQL is relational.
- Mapping SQL to MongoDB is useful when migrating data from SQL to MongoDB or developing applications that use MongoDB.
Summary
In this page, we discussed how to map SQL CRUD operations to MongoDB. We covered the syntax, example, output, explanation, use, and important points of SQL to MongoDB mapping. By understanding how to map SQL queries to MongoDB, you can more effectively work with data stored in a MongoDB database and develop applications that use MongoDB.