Insert two new colors `{ _id: 3, name: "Green" }` and `{ _id: 4, name: "Yellow" }` into the `colors` collection.
Problem Statement
Examples
Input: colors collection: +-----+------+ | _id | name | +-----+------+ | 1 | Red | | 2 | Blue | +-----+------+
Output: +---------------+---------------+--------------+ | insertedCount | insertedIds | acknowledged | +---------------+---------------+--------------+ | 2 | {"0":3,"1":4} | true | +---------------+---------------+--------------+
Explanation: Documents containing the matching array elements are selected from the collection.
Complexity
Time Complexity: -
Space Complexity: -
Hints
Editorial & Approach
Problem Overview & Intuition
To solve "Insert Multiple Documents (insertMany)", we query the MongoDB document store. The goal is to insert two new colors `{ _id: 3, name: "green" }` and `{ _id: 4, name: "yellow" }` into the `colors` 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.colors.insertMany([{ _id: 3, name: "Green" }, { _id: 4, name: "Yellow" }]);
}
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.