NYC Taxi — Rush Hour Analysis

NYC Taxi benchmark · all NYC Taxi queries

Analysis of rush hour patterns

Representative SQL

Rendered in the benchmark’s native SQL with default parameters (no dialect translation available).

SELECT
  CASE
    WHEN EXTRACT(HOUR FROM pickup_datetime) BETWEEN 7 AND 9
    THEN 'morning_rush'
    WHEN EXTRACT(HOUR FROM pickup_datetime) BETWEEN 17 AND 19
    THEN 'evening_rush'
    ELSE 'off_peak'
  END AS period,
  COUNT(*) AS trip_count,
  AVG(trip_distance) AS avg_distance,
  AVG(total_amount) AS avg_fare,
  AVG(EXTRACT(EPOCH FROM (
    dropoff_datetime - pickup_datetime
  )) / 60) AS avg_duration_min
FROM trips
WHERE
  pickup_datetime >= '2019-04-11'
  AND pickup_datetime < '2019-05-11'
  AND dropoff_datetime > pickup_datetime
GROUP BY
  CASE
    WHEN EXTRACT(HOUR FROM pickup_datetime) BETWEEN 7 AND 9
    THEN 'morning_rush'
    WHEN EXTRACT(HOUR FROM pickup_datetime) BETWEEN 17 AND 19
    THEN 'evening_rush'
    ELSE 'off_peak'
  END
ORDER BY
  trip_count DESC

Representative DataFrame

No DataFrame implementation is registered for this query.

Get the exact query for your run

The blocks above are representative. To get the precise statement a specific platform runs at a specific scale, substitute your own values:

from benchbox import NYCTaxi

bench = NYCTaxi(scale_factor=1.0)            # your scale factor
queries = bench.get_queries(dialect="datafusion")   # your platform's dialect; drop dialect= for native SQL
print(queries['rush-hour-analysis'])

Source

Query text: benchbox/core/nyctaxi/queries.py