cs-1011: add solution to relational db assignment

Spring-2023/CS-1011/Relational-DB-Assignment/.gitignore

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+*.sqlite3

Spring-2023/CS-1011/Relational-DB-Assignment/README.org

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+* Databases: Relational - In-Class Assignment
+
+You can run the queries in [[./solve.sql]] against a ~sqlite3~ database to solve this assignment
+or install [[https://nixos.org/][Nix]] and run [[./solve.bash]].
+
+** Answer the Following Questions With Info From [[*Tables]]
+
+1. What was the total profit across all stores?
+   - =$34.5=
+2. What is the name of the most popular product sold?
+   - =Toy Story=
+3. How much profit did the "East" region make?
+   - =$13.96=
+4. Which city had the highest cost?
+   - The city with the highest aggregate cost would be =San Francisco=.
+   - However, the city with the highest /single/ cost would be =New York=.
+5. What was the least popular product brand?
+   - =Big Studios=, because they had no sales.
+6. Which city (or cities) sold "Sense and Sensibility"?
+   - =San Francisco=
+
+** Tables
+
+*** STORE
+| Store_key | City          | Region  |
+|-----------|---------------|---------|
+| 1         | New York      | East    |
+| 2         | Chicago       | Central |
+| 3         | Atlanta       | East    |
+| 4         | Los Angeles   | West    |
+| 5         | San Francisco | West    |
+| 6         | Philadelphia  | East    |
+
+*** PRODUCT
+| Product_key | Description           | Brand           |
+|-------------|-----------------------|-----------------|
+| 1           | Beautiful Girls       | MKF Studios     |
+| 2           | Toy Story             | Wolf            |
+| 3           | Sense and Sensibility | Parabuster Inc. |
+| 4           | Holday of the Year    | Wolf            |
+| 5           | Pulp Fiction          | MKF Studios     |
+| 6           | The Juror             | MKF Studios     |
+| 7           | From Dusk Till Dawn   | Parabuster Inc. |
+| 8           | Hellraiser: Bloodline | Big Studios     |
+
+*** SALES_FACT
+
+| Store_key | Product_key | Sales | Cost | Profit |
+|-----------|-------------|-------|------|--------|
+| 1         | 6           | 2.39  | 1.15 | 1.24   |
+| 1         | 2           | 16.7  | 6.91 | 9.79   |
+| 2         | 7           | 7.16  | 2.75 | 4.40   |
+| 3         | 2           | 4.77  | 1.84 | 2.93   |
+| 5         | 3           | 11.93 | 4.59 | 7.34   |
+| 5         | 1           | 14.31 | 5.51 | 8.80   |

Spring-2023/CS-1011/Relational-DB-Assignment/cmds.sql

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+-- ┌────────────────────┐
+-- │STORE TABLE AND DATA│
+-- └────────────────────┘
+DROP TABLE IF EXISTS STORE;
+
+CREATE TABLE IF NOT EXISTS STORE (
+  Store_key INTEGER PRIMARY KEY,
+  City TEXT NOT NULL,
+  Region TEXT CHECK (Region IN ('East', 'Central', 'West')) NOT NULL
+);
+
+INSERT INTO
+  STORE (Store_key, City, Region)
+VALUES
+  (1, 'New York', 'East'),
+  (2, 'Chicago', 'Central'),
+  (3, 'Atlanta', 'East'),
+  (4, 'Los Angeles', 'West'),
+  (5, 'San Francisco', 'West'),
+  (6, 'Philadelphia', 'East');
+
+-- ┌──────────────────────┐
+-- │PRODUCT TABLE AND DATA│
+-- └──────────────────────┘
+DROP TABLE IF EXISTS PRODUCT;
+
+CREATE TABLE IF NOT EXISTS PRODUCT (
+  Product_key INTEGER PRIMARY KEY,
+  Description TEXT NOT NULL,
+  Brand TEXT CHECK (
+    Brand IN (
+      'MKF Studios',
+      'Wolf',
+      'Parabuster Inc.',
+      'Big Studios'
+    )
+  ) NOT NULL
+);
+
+INSERT INTO
+  PRODUCT (Product_key, Description, Brand)
+VALUES
+  (1, 'Beautiful Girls', 'MKF Studios'),
+  (2, 'Toy Story', 'Wolf'),
+  (3, 'Sense and Sensibility', 'Parabuster Inc.'),
+  (4, 'Holday of the Year', 'Wolf'),
+  (5, 'Pulp Fiction', 'MKF Studios'),
+  (6, 'The Juror', 'MKF Studios'),
+  (7, 'From Dusk Till Dawn', 'Parabuster Inc.'),
+  (8, 'Hellraiser: Bloodline', 'Big Studios');
+
+-- ┌─────────────────────────┐
+-- │SALES_FACT TABLE AND DATA│
+-- └─────────────────────────┘
+DROP TABLE IF EXISTS SALES_FACT;
+
+-- WARN: Storing money AS floats/`REAL` is a big no-no in a real application due to floating point
+-- rounding errors. For this purpose it's ok, but for the love of god and all that is holy do NOT
+-- store money AS a float.
+CREATE TABLE IF NOT EXISTS SALES_FACT (
+  Store_key INTEGER NOT NULL,
+  Product_key INTEGER NOT NULL,
+  Sales REAL NOT NULL,
+  Cost REAL NOT NULL,
+  Profit REAL NOT NULL,
+  FOREIGN KEY (Store_key) REFERENCES STORE (Store_key),
+  FOREIGN KEY (Product_key) REFERENCES PRODUCT (Product_key)
+);
+
+INSERT INTO
+  SALES_FACT (Store_key, Product_key, Sales, Cost, Profit)
+VALUES
+  (1, 6, 2.39, 1.15, 1.24),
+  (1, 2, 16.7, 6.91, 9.79),
+  (2, 7, 7.16, 2.75, 4.40),
+  (3, 2, 4.77, 1.84, 2.93),
+  (5, 3, 11.93, 4.59, 7.34),
+  (5, 1, 14.31, 5.51, 8.80);
+
+--- Answers to Questions ---
+-- 1. What was the total profit across all stores?
+SELECT
+  Sum(Profit) AS "Total Profit Across All Stores"
+FROM
+  SALES_FACT;
+
+-- 2. What is the name of the most popular product sold?
+SELECT
+  Description AS "Name of Most Popular Product"
+FROM
+  (
+    SELECT
+      Max(sf.Sales),
+      p.Description
+    FROM
+      SALES_FACT AS sf
+      INNER JOIN PRODUCT p ON p.Product_key = sf.Product_key
+  );
+
+-- 3. How much profit did the "East" region make?
+SELECT
+  Sum(Profit) AS "East Region Profits"
+FROM
+  SALES_FACT AS sf
+  INNER JOIN STORE AS s ON s.Store_key = sf.Store_key
+  AND s.REGION = 'East';
+
+-- 4. Which city had the highest cost?
+SELECT
+  City AS "City With Highest Aggregate Cost"
+FROM
+  (
+    SELECT
+      s.Store_key,
+      Max(cost_sums) AS "Total Cost",
+      City
+    FROM
+      (
+        SELECT
+          Store_key,
+          Sum(Cost) AS cost_sums
+        FROM
+          SALES_FACT
+        GROUP BY
+          Store_key
+      ) AS sf
+      INNER JOIN STORE AS s ON s.Store_key = sf.Store_key
+  );
+
+SELECT
+  City as "City With Highest Single Cost"
+FROM
+  (
+    SELECT
+      City,
+      Max(Cost)
+    FROM
+      SALES_FACT AS sf
+      INNER JOIN STORE AS s ON s.Store_key = sf.Store_key
+  );
+
+-- 5. What was the least popular product brand?
+SELECT
+  Brand as "Least Popular Brand"
+FROM
+  (
+    SELECT
+      Brand,
+      MIN(sales_sums)
+    FROM
+      (
+        SELECT
+          p.Brand,
+          Sum(IfNull (Sales, 0)) AS sales_sums
+        FROM
+          SALES_FACT AS sf
+          RIGHT JOIN PRODUCT AS p ON sf.Product_key = p.Product_key
+        GROUP BY
+          p.Brand
+      )
+  );
+
+-- 6. Which city (or cities) sold "Sense and Sensibility"?
+SELECT
+  City AS "City That Sold 'Sense and Sensibility'"
+FROM
+  STORE AS s
+WHERE
+  s.Store_key = (
+    SELECT
+      sf.Store_key
+    FROM
+      SALES_FACT as sf
+    WHERE
+      sf.Product_key = (
+        SELECT
+          p.Product_key
+        FROM
+          PRODUCT AS p
+        WHERE
+          p.Description = 'Sense and Sensibility'
+      )
+  );

Spring-2023/CS-1011/Relational-DB-Assignment/solve.bash

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+#!/usr/bin/env -S nix shell nixpkgs#bash nixpkgs#sqlite --command bash
+
+main() {
+	local count=1
+	local double_answer=false
+	printf "Question Solutions\n"
+	printf "==================\n"
+	while IFS= read -r line; do
+		# This is an ugly hack, but I'm too lazy to do this "right". Question 4 has two possible
+		# answers based on your interpretation, thus I am outputting two answers for question 4 by
+		# doing this fugly stuff.
+		if ((count == 5)) && ! $double_answer; then
+			((count--))
+			double_answer=true
+		fi
+		printf "%d: %s\n" $((count++)) "${line}"
+	done < <(sqlite3 db.sqlite3 <./cmds.sql)
+}
+
+main "${@}"