Approach
Relational aggregation
For Calculate Parking Fees and Duration, the query transforms and combines relational rows, then filters or aggregates them into the requested result.
- Identify the source rows and join keys.
- Apply filters before aggregation when possible.
- Group, rank, or project the final columns required by the result.
Code notes
- 38 lines of SQL from the credited upstream file 3166.sql.
- The implementation keeps its working state in language-native values and containers.
- No explicit loop blocks detected.
Complexity
Review join cardinality, grouping keys, and available indexes when estimating query cost.
Check the problem constraints before deciding whether this complexity will pass.
Use this to learn the idea, then write your own version.
1WITH2 Cars AS (3 SELECT4 car_id,5 SUM(fee_paid) AS total_fee_paid,6 SUM(TIMESTAMPDIFF(MINUTE, entry_time, exit_time)) AS total_duration7 FROM ParkingTransactions8 GROUP BY 19 ),10 CarToDurationPerLot AS (11 SELECT12 car_id,13 lot_id,14 SUM(TIMESTAMPDIFF(MINUTE, entry_time, exit_time)) AS duration_per_lot15 FROM ParkingTransactions16 GROUP BY 1, 217 ),18 CarToMaxDurationPerLot AS (19 SELECT20 car_id,21 MAX(duration_per_lot) AS max_duration_per_lot22 FROM CarToDurationPerLot23 GROUP BY 124 )25SELECT26 Cars.car_id,27 Cars.total_fee_paid,28 ROUND(Cars.total_fee_paid * 60 / Cars.total_duration, 2) AS avg_hourly_fee,29 CarToDurationPerLot.lot_id AS most_time_lot30FROM Cars31INNER JOIN CarToDurationPerLot32 USING (car_id)33INNER JOIN CarToMaxDurationPerLot34 USING (car_id)35WHERE36 CarToDurationPerLot.duration_per_lot = CarToMaxDurationPerLot.max_duration_per_lot37ORDER BY 1;38