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MongoDB

Find all books with `pages` less than or equal to `200`.

Problem Statement

<p>Find all <code>books</code> with <code>pages</code> less than or equal to <code>200</code>.</p>

Examples

Input: books collection: +-----+-----------------+-------+ | _id | title | pages | +-----+-----------------+-------+ | 1 | Short Stories | 150 | | 2 | Epic Novel | 800 | | 3 | Novella | 200 | | 4 | Reference Guide | 450 | +-----+-----------------+-------+

Output: +-----+---------------+-------+ | _id | title | pages | +-----+---------------+-------+ | 1 | Short Stories | 150 | | 3 | Novella | 200 | +-----+---------------+-------+

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

Complexity

Time Complexity: -

Space Complexity: -

Hints

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

Editorial & Approach

Problem Overview & Intuition

To solve "Less Than or Equal ($lte)", we query the MongoDB document store. The goal is to find all books with `pages` less than or equal to `200`. Using a targeted find query, the database engine filters and structures the BSON documents efficiently.

Step-by-Step Approach

  1. Identify Target Collection: Access the collection through the db instance.
  2. Construct Query / Pipeline: Build the query filter with appropriate comparison operators.
  3. Resolve Cursor: Invoke .toArray() to transform the query cursor into the required array of documents.

Optimal Implementation (MongoDB)

function solve(db) {
  return db.books.find({ pages: { $lte: 200 } }).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.

Less Than or Equal ($lte)

Easy

Find all books with pages less than or equal to 200.

Example Scenarios
1Example 1
Input:
books collection
_idtitlepages
1Short Stories150
2Epic Novel800
3Novella200
4Reference Guide450
Output:
_idtitlepages
1Short Stories150
3Novella200
Explanation:

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

MongoDB Editor
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Query Results (JSON)

Run your MongoDB code to see results here.