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DoorDash Q1 Delivery Performance Query
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DoorDash Q1 Delivery Performance Query

MediumSQL · PostgreSQL

Problem

SQL questions based on DoorDash data schema, python leet code medium

Using the DoorDash-style tables provided, write a PostgreSQL query for Seattle restaurants. Include restaurants without qualifying deliveries and consider only completed orders delivered during the first quarter of 2024.

Output

  1. One row per Seattle restaurant, with restaurant_name, completed_delivery_count, and avg_delivery_minutes.
  2. Sort by completed delivery count descending, then restaurant name ascending.
  3. Return NULL for the average when no qualifying delivery has a measurable duration.

Output details

  • Use delivered_at >= TIMESTAMP '2024-01-01 00:00:00' and delivered_at < TIMESTAMP '2024-04-01 00:00:00'.
  • Count only records with order_status = 'completed' and delivery_status = 'delivered'.
  • Calculate duration as elapsed minutes from picked_up_at to delivered_at.
  • Round avg_delivery_minutes to 2 decimal places.

Schema

restaurants
ColumnTypeDescription
restaurant_idPKINTUnique restaurant identifier
restaurant_nameVARCHAR(100)Restaurant display name
cityVARCHAR(80)Restaurant city
orders
ColumnTypeDescription
order_idPKINTUnique order identifier
restaurant_idINTRestaurant that received the order
customer_idINTCustomer identifier
order_placed_atTIMESTAMPTimestamp when the order was placed
order_statusVARCHAR(30)Current order status
deliveries
ColumnTypeDescription
delivery_idPKINTUnique delivery identifier
order_idINTOrder associated with the delivery
dasher_idINTDasher identifier
picked_up_atTIMESTAMPTimestamp when the order was picked up
delivered_atTIMESTAMPTimestamp when the order was delivered
delivery_statusVARCHAR(30)Current delivery status
Tablesrestaurantsordersdeliveries
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Your question is DoorDash Q1 Delivery Performance Query. Start with the requirements and the three tables in the Question tab.

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