Delete the log entry with `_id: 2` from the `logs` collection. Return all remaining logs.
Problem Statement
Examples
Input: logs collection: +-----+-----------------------+-------+ | _id | message | level | +-----+-----------------------+-------+ | 1 | Server started | info | | 2 | Deprecated API called | warn | | 3 | Request received | info | +-----+-----------------------+-------+
Output: +-----+------------------+-------+ | _id | message | level | +-----+------------------+-------+ | 1 | Server started | info | | 3 | Request received | info | +-----+------------------+-------+
Explanation: The matching documents are removed from the collection and the remaining count is verified.
Complexity
Time Complexity: -
Space Complexity: -
Hints
Editorial & Approach
Problem Overview & Intuition
To solve "Delete One Document (deleteOne)", we query the MongoDB document store. The goal is to delete the log entry with `_id: 2` from the `logs` collection. return all remaining logs. 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) {
db.logs.deleteOne({ _id: 2 });
return db.logs.find({}).toArray();
}
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.