Find all products whose price is NOT greater than `50` (i.e., price is 50 or less).

Problem Statement

<p>Find all <code>products</code> whose <code>price</code> is NOT greater than <code>50</code> (i.e., <code>price</code> is 50 or less).</p>

Examples

Input: products collection: +-----+----------+-------+ | _id | name | price | +-----+----------+-------+ | 1 | Cable | 10 | | 2 | Monitor | 300 | | 3 | Mouse | 25 | | 4 | Keyboard | 50 | +-----+----------+-------+

Output: +-----+----------+-------+ | _id | name | price | +-----+----------+-------+ | 1 | Cable | 10 | | 3 | Mouse | 25 | | 4 | Keyboard | 50 | +-----+----------+-------+

Explanation: The query retrieves all documents from the collection that satisfy the specified filter criteria.

Complexity

Time Complexity: -

Space Complexity: -

Hints

💡 Hint 1: Use comparison operators ($gt, $gte, $lt, $lte) to filter documents based on numeric or date ranges. 💡 Hint 2: Construct the filter condition: { fieldName: { $gt: value } } inside db.<collection>.find(...). 💡 Hint 3: Chain projection or sorting if requested, and invoke .toArray() to produce the result array.

Editorial & Approach

Problem Overview & Intuition

To solve "Negation Filter ($not)", we query the MongoDB document store. The goal is to find all products whose price is not greater than `50` (i.e., price is 50 or less). 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.products.find({ price: { $not: { $gt: 50 } } }).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.

Negation Filter ($not)

Easy

Find all products whose price is NOT greater than 50 (i.e., price is 50 or less).

Example Scenarios

1Example 1

Input:

products collection

_id	name	price
1	Cable	10
2	Monitor	300
3	Mouse	25
4	Keyboard	50

Output:

_id	name	price
1	Cable	10
3	Mouse	25
4	Keyboard	50

Explanation:

The query retrieves all documents from the collection that satisfy the specified filter criteria.

MongoDB Editor

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Query Results (JSON)

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