[Xinyu-Liao]

What changes are you trying to make? (e.g. Adding or removing code, refactoring existing code, adding reports)

Adding code

What did you learn from the changes you have made?

I've learnt how to add new values by SQL

Was there another approach you were thinking about making? If so, what approach(es) were you thinking of?

NA

Were there any challenges? If so, what issue(s) did you face? How did you overcome it?

I sometimes need to Google for certain queries.

How were these changes tested?

Testing based on existing database

A reference to a related issue in your repository (if applicable)

NA

Checklist

• I can confirm that my changes are working as intended

[github-actions]

🧪 SQL Queries Run Results (up to 3 rows)

Click to expand/collapse assignment queries execution results

✅ Query 1:

*SELECT * FROM customer *,

Results:

customer_id	customer_first_name	customer_last_name	customer_postal_code
1	Alejandro	Costa	M8Y
2	Mei	Chen	M1L
3	Amir	Khan	M4H

---

✅ Query 2:

SELECT *
FROM customer
ORDER BY customer_last_name, customer_first_name
LIMIT 10,

Results:

customer_id	customer_first_name	customer_last_name	customer_postal_code
4	Leyla	Abadi	M1L
7	Anwar	Ali	M6C
12	Jalen	Carter	M1L

---

✅ Query 3:

SELECT *
FROM customer_purchases
WHERE product_id = 4 OR product_id = 9
LIMIT 25,

Results:

product_id	vendor_id	market_date	customer_id	quantity	cost_per_quantity	transaction_time
4	7	2022-04-05	3	1	4	18:44:00
4	7	2022-04-05	4	1	4	18:09:00
4	7	2022-04-05	5	3	4	18:54:00

---

✅ Query 4:

*SELECT , quantity * cost_per_quantity AS price
FROM customer_purchases
WHERE customer_id BETWEEN 8 AND 10
LIMIT 25,

Results:

product_id	vendor_id	market_date	customer_id	quantity	cost_per_quantity	transaction_time	price
1	7	2022-07-12	8	2.71	6.99	18:35:00	18.9429
1	7	2022-07-15	10	2.34	6.99	10:21:00	16.3566
1	7	2022-07-15	10	2.28	6.99	10:29:00	15.937199999999999

---

✅ Query 5:

SELECT product_id, product_name,
CASE
WHEN product_qty_type = 'unit' THEN 'unit'
ELSE 'bulk'
END AS prod_qty_type_condensed
FROM product,

Results:

product_id	product_name	prod_qty_type_condensed
1	Habanero Peppers - Organic	bulk
2	Jalapeno Peppers - Organic	bulk
3	Poblano Peppers - Organic	unit

---

✅ Query 6:

SELECT product_id, product_name,
CASE
WHEN product_qty_type = 'unit' THEN 'unit'
ELSE 'bulk'
END AS prod_qty_type_condensed,
CASE
WHEN product_name LIKE '%pepper%' THEN 1
ELSE 0
END AS pepper_flag
FROM product,

Results:

product_id	product_name	prod_qty_type_condensed	pepper_flag
1	Habanero Peppers - Organic	bulk	1
2	Jalapeno Peppers - Organic	bulk	1
3	Poblano Peppers - Organic	unit	1

---

✅ Query 7:

SELECT *
FROM vendor AS v
INNER JOIN vendor_booth_assignments AS vba
ON v.vendor_id = vba.vendor_id
ORDER BY market_date, vendor_name
LIMIT 24,

Results:

vendor_id	vendor_name	vendor_type	vendor_owner_first_name	vendor_owner_last_name	booth_number	market_date
8	Annie's Pies	Prepared Foods	Annie	Aquinas	6	2022-04-05
1	Chris's Sustainable Eggs & Meats	Eggs & Meats	Chris	Sylvan	2	2022-04-05
4	Fields of Corn	Fresh Focused	Samuel	Smith	7	2022-04-05

---

✅ Query 8:

SELECT vendor_id,
SUM (booth_number) AS vendor_renting_times
FROM vendor_booth_assignments
GROUP BY vendor_id,

Results:

vendor_id	vendor_renting_times
1	289
3	142
4	1752

---

✅ Query 9:

SELECT cp.customer_id, cp.quantity, cp.cost_per_quantity, c.customer_id, c.customer_first_name, c.customer_last_name,
SUM(cp.quantity * cp.cost_per_quantity) AS total_purchase
FROM customer_purchases AS cp
INNER JOIN customer AS c
ON cp.customer_id = c.customer_id
GROUP BY c.customer_id
HAVING total_purchase > 2000,

Results:

customer_id	quantity	cost_per_quantity	customer_first_name	customer_last_name	total_purchase
1	2.09	6.99	Alejandro	Costa	3530.9187
2	4.24	6.99	Mei	Chen	4179.4529
3	2.48	6.99	Amir	Khan	3832.1575

---

⚪ Query 10:

*CREATE TEMP TABLE new_vendor AS
SELECT *
FROM vendor;

INSERT INTO new_vendor (vendor_id, vendor_name, vendor_type, vendor_owner_first_name, vendor_owner_last_name)
VALUES (10, 'Thomass Superfood Store', 'Fresh Focused', 'Thomas', 'Rosenthal' )*,

No rows returned

---

✅ Query 11:

SELECT customer_id,
STRFTIME('%m', market_date) AS month,
STRFTIME('%Y', market_date) AS year
FROM customer_purchases,

Results:

customer_id	month	year
14	07	2022
14	07	2022
15	07	2022

---

✅ Query 12:

SELECT customer_id,
quantity,
cost_per_quantity,
STRFTIME('%m', market_date) AS month,
STRFTIME('%Y', market_date) AS year,
SUM(quantity * cost_per_quantity) AS total_purchase
FROM customer_purchases
WHERE month = '04' AND year = '2022'
GROUP BY customer_id, year, month,

Results:

customer_id	quantity	cost_per_quantity	month	year	total_purchase
1	5	3.5	04	2022	152
2	5	4	04	2022	172.5
3	1	4	04	2022	152

---

[khsergvl]

Looks good! Approved.