Find all restaurants and sort by `rating` in ascending order.

Problem Statement

<p>Find all <code>restaurants</code> and sort by <code>rating</code> in ascending order.</p>

Examples

Input: restaurants collection: +-----+--------------+--------+ | _id | name | rating | +-----+--------------+--------+ | 1 | Pizza Palace | 4.5 | | 2 | Burger Barn | 3.8 | | 3 | Sushi Spot | 4.9 | +-----+--------------+--------+

Output: +-----+--------------+--------+ | _id | name | rating | +-----+--------------+--------+ | 2 | Burger Barn | 3.8 | | 1 | Pizza Palace | 4.5 | | 3 | Sushi Spot | 4.9 | +-----+--------------+--------+

Explanation: The collection documents are sorted according to the specified field order.

Complexity

Time Complexity: -

Space Complexity: -

Hints

💡 Hint 1: Sort matched documents using .sort({ field: 1 }) for ascending or { field: -1 } for descending. 💡 Hint 2: Chain .sort(...) directly after db.<collection>.find(...) and before .limit() / .toArray(). 💡 Hint 3: Complete: return db.<collection>.find(<filter>).sort(<sortObj>).toArray();

Editorial & Approach

Problem Overview & Intuition

To solve "Sort Ascending", we query the MongoDB document store. The goal is to find all restaurants and sort by `rating` in ascending order. 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 db instance.
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.restaurants.find({}).sort({ rating: 1 }).toArray();
}

Complexity Analysis

Time Complexity O(N) collection scan (O(log N) if index is present on filtered fields).

Space Complexity O(K) where K is the number of returned documents in memory.

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.

Sort Ascending

Easy

Find all restaurants and sort by rating in ascending order.

Example Scenarios

1Example 1

Input:

restaurants collection

_id	name	rating
1	Pizza Palace	4.5
2	Burger Barn	3.8
3	Sushi Spot	4.9

Output:

_id	name	rating
2	Burger Barn	3.8
1	Pizza Palace	4.5
3	Sushi Spot	4.9

Explanation:

The collection documents are sorted according to the specified field order.

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Query Results (JSON)

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