Pizza Runner

Did you know that over 115 million kilograms of pizza is consumed daily worldwide??? (Well according to Wikipedia anyway…)

Danny was scrolling through his Instagram feed when something really caught his eye - “80s Retro Styling and Pizza Is The Future!”

Danny was sold on the idea, but he knew that pizza alone was not going to help him get seed funding to expand his new Pizza Empire - so he had one more genius idea to combine with it - he was going to Uberize it - and so Pizza Runner was launched!

Danny started by recruiting “runners” to deliver fresh pizza from Pizza Runner Headquarters (otherwise known as Danny’s house) and also maxed out his credit card to pay freelance developers to build a mobile app to accept orders from customers.

Because Danny had a few years of experience as a data scientist - he was very aware that data collection was going to be critical for his business’ growth.

He has prepared for us an entity relationship diagram of his database design but requires further assistance to clean his data and apply some basic calculations so he can better direct his runners and optimise Pizza Runner’s operations.

Step 1 - Seed

CREATE SCHEMA pizza_runner;
SET search_path = pizza_runner;

DROP TABLE IF EXISTS runners;
CREATE TABLE runners (
  "runner_id" INTEGER,
  "registration_date" DATE
);
INSERT INTO runners
  ("runner_id", "registration_date")
VALUES
  (1, '2021-01-01'),
  (2, '2021-01-03'),
  (3, '2021-01-08'),
  (4, '2021-01-15');


DROP TABLE IF EXISTS customer_orders;
CREATE TABLE customer_orders (
  "order_id" INTEGER,
  "customer_id" INTEGER,
  "pizza_id" INTEGER,
  "exclusions" VARCHAR(4),
  "extras" VARCHAR(4),
  "order_time" TIMESTAMP
);

INSERT INTO customer_orders
  ("order_id", "customer_id", "pizza_id", "exclusions", "extras", "order_time")
VALUES
  ('1', '101', '1', '', '', '2020-01-01 18:05:02'),
  ('2', '101', '1', '', '', '2020-01-01 19:00:52'),
  ('3', '102', '1', '', '', '2020-01-02 23:51:23'),
  ('3', '102', '2', '', NULL, '2020-01-02 23:51:23'),
  ('4', '103', '1', '4', '', '2020-01-04 13:23:46'),
  ('4', '103', '1', '4', '', '2020-01-04 13:23:46'),
  ('4', '103', '2', '4', '', '2020-01-04 13:23:46'),
  ('5', '104', '1', 'null', '1', '2020-01-08 21:00:29'),
  ('6', '101', '2', 'null', 'null', '2020-01-08 21:03:13'),
  ('7', '105', '2', 'null', '1', '2020-01-08 21:20:29'),
  ('8', '102', '1', 'null', 'null', '2020-01-09 23:54:33'),
  ('9', '103', '1', '4', '1, 5', '2020-01-10 11:22:59'),
  ('10', '104', '1', 'null', 'null', '2020-01-11 18:34:49'),
  ('10', '104', '1', '2, 6', '1, 4', '2020-01-11 18:34:49');


DROP TABLE IF EXISTS runner_orders;
CREATE TABLE runner_orders (
  "order_id" INTEGER,
  "runner_id" INTEGER,
  "pickup_time" VARCHAR(19),
  "distance" VARCHAR(7),
  "duration" VARCHAR(10),
  "cancellation" VARCHAR(23)
);

INSERT INTO runner_orders
  ("order_id", "runner_id", "pickup_time", "distance", "duration", "cancellation")
VALUES
  ('1', '1', '2020-01-01 18:15:34', '20km', '32 minutes', ''),
  ('2', '1', '2020-01-01 19:10:54', '20km', '27 minutes', ''),
  ('3', '1', '2020-01-03 00:12:37', '13.4km', '20 mins', NULL),
  ('4', '2', '2020-01-04 13:53:03', '23.4', '40', NULL),
  ('5', '3', '2020-01-08 21:10:57', '10', '15', NULL),
  ('6', '3', 'null', 'null', 'null', 'Restaurant Cancellation'),
  ('7', '2', '2020-01-08 21:30:45', '25km', '25mins', 'null'),
  ('8', '2', '2020-01-10 00:15:02', '23.4 km', '15 minute', 'null'),
  ('9', '2', 'null', 'null', 'null', 'Customer Cancellation'),
  ('10', '1', '2020-01-11 18:50:20', '10km', '10minutes', 'null');


DROP TABLE IF EXISTS pizza_names;
CREATE TABLE pizza_names (
  "pizza_id" INTEGER,
  "pizza_name" TEXT
);
INSERT INTO pizza_names
  ("pizza_id", "pizza_name")
VALUES
  (1, 'Meatlovers'),
  (2, 'Vegetarian');


DROP TABLE IF EXISTS pizza_recipes;
CREATE TABLE pizza_recipes (
  "pizza_id" INTEGER,
  "toppings" TEXT
);
INSERT INTO pizza_recipes
  ("pizza_id", "toppings")
VALUES
  (1, '1, 2, 3, 4, 5, 6, 8, 10'),
  (2, '4, 6, 7, 9, 11, 12');


DROP TABLE IF EXISTS pizza_toppings;
CREATE TABLE pizza_toppings (
  "topping_id" INTEGER,
  "topping_name" TEXT
);
INSERT INTO pizza_toppings
  ("topping_id", "topping_name")
VALUES
  (1, 'Bacon'),
  (2, 'BBQ Sauce'),
  (3, 'Beef'),
  (4, 'Cheese'),
  (5, 'Chicken'),
  (6, 'Mushrooms'),
  (7, 'Onions'),
  (8, 'Pepperoni'),
  (9, 'Peppers'),
  (10, 'Salami'),
  (11, 'Tomatoes'),
  (12, 'Tomato Sauce');

Pizza Runner

Step 1 - Seed​

References​

Step 1 - Seed

References