NYC Taxi — Airport Trips

NYC Taxi benchmark · all NYC Taxi queries

Analysis of airport trips (rate codes 2, 3)

Representative SQL

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

SELECT
  rate_code_id,
  z.zone AS pickup_zone,
  COUNT(*) AS trip_count,
  AVG(trip_distance) AS avg_distance,
  AVG(total_amount) AS avg_fare,
  AVG(tip_amount) AS avg_tip
FROM trips AS t
LEFT JOIN taxi_zones AS z
  ON t.pickup_location_id = z.location_id
WHERE
  t.pickup_datetime >= '2019-07-19'
  AND t.pickup_datetime < '2019-10-17'
  AND t.rate_code_id IN (2, 3)
GROUP BY
  rate_code_id,
  z.zone
ORDER BY
  trip_count DESC
LIMIT 20

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['airport-trips'])

Source

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