Is Find Top Performing Driver easy or hard?

The problem is generally considered medium difficulty because it requires combining multiple SQL concepts: joins, aggregation, and window functions. Developers comfortable with analytical SQL queries should find it manageable.

Find Top Performing Driver Python/Java solution

This problem is primarily solved with SQL queries. Python or Java implementations typically connect to a database and execute the SQL statement containing joins, aggregation, and ranking logic. The core algorithmic work is handled by the database engine.

How to solve Find Top Performing Driver in O(n)?

Pure O(n) solutions are uncommon in SQL because identifying the top performer generally requires sorting or ranking drivers. The typical approach aggregates driver metrics using GROUP BY and then ranks them using ORDER BY or a window function, which introduces O(n log n) complexity. Database optimizations and indexes can still make this very efficient in practice.

What is the best approach for Find Top Performing Driver?

The most robust approach uses an equi-join to combine tables, GROUP BY to compute driver-level metrics, and a window function such as RANK() or DENSE_RANK() to rank drivers by performance. This method handles ties cleanly and easily extends to top-k queries. Time complexity is typically O(n log n) due to sorting during ranking.

Is Find Top Performing Driver asked at Google/Amazon/Meta?

Database aggregation and ranking problems like this frequently appear in SQL interview rounds at companies such as Amazon, Uber, and other data-driven companies. The focus is usually on correct joins, aggregation logic, and using window functions for ranking results.

What data structure is used in Find Top Performing Driver?

The problem relies on relational database operations rather than traditional data structures. Internally, SQL engines use grouped hash tables or sort-based aggregation for GROUP BY operations and ordered result sets for window function ranking.

What is the time complexity of Find Top Performing Driver?

Most SQL solutions run in O(n log n) time because the database must sort aggregated driver results when applying ORDER BY or window function ranking. The aggregation step itself is roughly O(n) over the rows in the trips table. Space complexity is O(n) when using window functions to store ranked rows.

3308. Find Top Performing Driver - Practice Online

Table: Drivers

+--------------+---------+
| Column Name  | Type    |
+--------------+---------+
| driver_id    | int     |
| name         | varchar |
| age          | int     |
| experience   | int     |
| accidents    | int     |
+--------------+---------+
(driver_id) is the unique key for this table.
Each row includes a driver's ID, their name, age, years of driving experience, and the number of accidents they’ve had.

Table: Vehicles

+--------------+---------+
| vehicle_id   | int     |
| driver_id    | int     |
| model        | varchar |
| fuel_type    | varchar |
| mileage      | int     |
+--------------+---------+
(vehicle_id, driver_id, fuel_type) is the unique key for this table.
Each row includes the vehicle's ID, the driver who operates it, the model, fuel type, and mileage.

Table: Trips

+--------------+---------+
| trip_id      | int     |
| vehicle_id   | int     |
| distance     | int     |
| duration     | int     |
| rating       | int     |
+--------------+---------+
(trip_id) is the unique key for this table.
Each row includes a trip's ID, the vehicle used, the distance covered (in miles), the trip duration (in minutes), and the passenger's rating (1-5).

Uber is analyzing drivers based on their trips. Write a solution to find the top-performing driver for each fuel type based on the following criteria:

A driver's performance is calculated as the average rating across all their trips. Average rating should be rounded to 2 decimal places.
If two drivers have the same average rating, the driver with the longer total distance traveled should be ranked higher.
If there is still a tie, choose the driver with the fewest accidents.

Return the result table ordered by fuel_type in ascending order.

The result format is in the following example.

Example:

Input:

Drivers table:

+-----------+----------+-----+------------+-----------+
| driver_id | name     | age | experience | accidents |
+-----------+----------+-----+------------+-----------+
| 1         | Alice    | 34  | 10         | 1         |
| 2         | Bob      | 45  | 20         | 3         |
| 3         | Charlie  | 28  | 5          | 0         |
+-----------+----------+-----+------------+-----------+

Vehicles table:

+------------+-----------+---------+-----------+---------+
| vehicle_id | driver_id | model   | fuel_type | mileage |
+------------+-----------+---------+-----------+---------+
| 100        | 1         | Sedan   | Gasoline  | 20000   |
| 101        | 2         | SUV     | Electric  | 30000   |
| 102        | 3         | Coupe   | Gasoline  | 15000   |
+------------+-----------+---------+-----------+---------+

Trips table:

+---------+------------+----------+----------+--------+
| trip_id | vehicle_id | distance | duration | rating |
+---------+------------+----------+----------+--------+
| 201     | 100        | 50       | 30       | 5      |
| 202     | 100        | 30       | 20       | 4      |
| 203     | 101        | 100      | 60       | 4      |
| 204     | 101        | 80       | 50       | 5      |
| 205     | 102        | 40       | 30       | 5      |
| 206     | 102        | 60       | 40       | 5      |
+---------+------------+----------+----------+--------+

Output:

+-----------+-----------+--------+----------+
| fuel_type | driver_id | rating | distance |
+-----------+-----------+--------+----------+
| Electric  | 2         | 4.50   | 180      |
| Gasoline  | 3         | 5.00   | 100      |
+-----------+-----------+--------+----------+

Explanation:

For fuel type Gasoline, both Alice (Driver 1) and Charlie (Driver 3) have trips. Charlie has an average rating of 5.0, while Alice has 4.5. Therefore, Charlie is selected.
For fuel type Electric, Bob (Driver 2) is the only driver with an average rating of 4.5, so he is selected.

The output table is ordered by fuel_type in ascending order.