[mohammadgoudarzirad]

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

SQL Assignment 1

What did you learn from the changes you have made?

I learned a lot about SQL, including SELECT, WHERE, CASE, JOIN, aggregate functions, temporary tables, and date functions. I also learned to pay more attention to small syntax mistakes.

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

there were different ways to write the query

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

I made some small syntax mistakes and fixed them by checking the error messages and testing each query

How were these changes tested?

testing queries in DB Browser

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

n/a

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,
COUNT() AS booth_rental_count
FROM vendor_booth_assignments
GROUP BY vendor_id*,

Results:

vendor_id	booth_rental_count
1	142
3	142
4	211

---

✅ Query 9:

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

Results:

customer_id	customer_first_name	customer_last_name	total_spent
4	Leyla	Abadi	3561.6286
7	Anwar	Ali	2921.1743
12	Jalen	Carter	3290.0783

---

⚪ Query 10:

*CREATE TEMP TABLE temp.new_vendor AS
SELECT *
FROM vendor;

INSERT INTO temp.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
LIMIT 25,

Results:

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

---

✅ Query 12:

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

Results:

customer_id	total_spent
1	152
2	172.5
3	152

---

[khsergvl]

Looks good! Approved. However sql file contain special characters that are no executable in the sql