Get all distinct `department` values from the `employees` collection.
Problem Statement
Examples
Input: employees collection: +-----+---------+-------------+ | _id | name | department | +-----+---------+-------------+ | 1 | Alice | Engineering | | 2 | Bob | Marketing | | 3 | Charlie | Engineering | | 4 | Dana | Sales | +-----+---------+-------------+
Output: +-------------+ | result | +-------------+ | Engineering | | Marketing | | Sales | +-------------+
Explanation: The target document is modified according to the update operators and the updated document is returned.
Complexity
Time Complexity: -
Space Complexity: -
Hints
Editorial & Approach
Problem Overview & Intuition
To solve "Get Distinct Values (distinct)", we query the MongoDB document store. The goal is to get all distinct `department` values from the `employees` collection. Using a targeted find query, the database engine filters and structures the BSON documents efficiently.
Step-by-Step Approach
- Identify Target Collection: Access the collection through the
dbinstance. - Construct Query / Pipeline: Build the query filter with appropriate comparison operators.
- Resolve Cursor: Invoke
.toArray()to transform the query cursor into the required array of documents.
Optimal Implementation (MongoDB)
function solve(db) {
return db.employees.distinct("department");
}
Complexity Analysis
Key Considerations & Edge Cases
- Empty Collections: If no documents match, the query cleanly returns an empty array
[]. - Missing / NULL Fields: Missing fields in documents are handled safely without throwing runtime exceptions.
- Type Coercion: BSON types (ObjectId, Numbers, Strings) are compared strictly according to MongoDB specifications.