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A LEFT JOIN ensures that every driver appears in the final result, even if they were never a passenger in any ride. This helps return a count of zero for drivers without matching passenger records.
Database aggregation and join problems similar to this are common in technical interviews. While the exact problem may vary, practicing SQL joins, grouping, and counting patterns is valuable for FAANG-style interview preparation.
The optimal approach uses a SQL LEFT JOIN between the Drivers table and the rides data where passenger_id matches driver_id. After joining, GROUP BY the driver identifier and use COUNT to compute how many times each driver appeared as a passenger.
Key SQL concepts include joins, aggregation with COUNT, and GROUP BY. Understanding how to match driver IDs with passenger IDs across tables is essential for computing the correct counts.