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Integration test: arbitrary SQL column names and reviewer fixes - #1
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SQL Assignment 2 feedbackSQL checks only. ERDs, written responses, and rubric point totals require instructor marking. Query 1: ✅ Correct All product descriptions and NULL replacements are correct. SELECT product_name || ', ' || COALESCE(product_size, '') || ' (' || COALESCE(product_qty_type, 'unit') || ')' AS product_details FROM product;[
{
"product_details": "Habanero Peppers - Organic, medium (lbs)"
},
{
"product_details": "Jalapeno Peppers - Organic, small (lbs)"
},
{
"product_details": "Poblano Peppers - Organic, large (unit)"
}
]Query 2: ✅ Correct Visit dates are numbered correctly for each customer. SELECT customer_id, market_date, DENSE_RANK() OVER (PARTITION BY customer_id ORDER BY market_date) AS visit_number FROM customer_purchases WHERE market_date < '2022-04-29';[
{
"customer_id": 1,
"market_date": "2022-04-08",
"visit_number": 1
},
{
"customer_id": 1,
"market_date": "2022-04-15",
"visit_number": 2
},
{
"customer_id": 1,
"market_date": "2022-04-19",
"visit_number": 3
}
]Query 3: ❌ Incorrect The result does not contain only each customer's most recent visit. SELECT customer_id, market_date, 99 AS visit_number FROM customer_purchases;[
{
"customer_id": 14,
"market_date": "2022-07-05",
"visit_number": 99
},
{
"customer_id": 14,
"market_date": "2022-07-05",
"visit_number": 99
},
{
"customer_id": 15,
"market_date": "2022-07-05",
"visit_number": 99
}
]Query 4: ✅ Correct The purchase count is correct for every customer and product. SELECT cp.*, COUNT(*) OVER (PARTITION BY customer_id, product_id) AS product_purchase_count FROM customer_purchases cp WHERE market_date < '2022-04-29';[
{
"product_id": 4,
"vendor_id": 7,
"market_date": "2022-04-19",
"customer_id": 1,
"quantity": 5,
"cost_per_quantity": 3.5,
"transaction_time": "16:09:00",
"product_purchase_count": 2
},
{
"product_id": 4,
"vendor_id": 7,
"market_date": "2022-04-26",
"customer_id": 1,
"quantity": 3,
"cost_per_quantity": 4,
"transaction_time": "18:22:00",
"product_purchase_count": 2
},
{
"product_id": 5,
"vendor_id": 8,
"market_date": "2022-04-08",
"customer_id": 1,
"quantity": 1,
"cost_per_quantity": 6.5,
"transaction_time": "13:10:00",
"product_purchase_count": 6
}
]Query 5: ❌ Incorrect The descriptions do not match the text after each product-name hyphen. SELECT product_name, NULL AS product_description FROM product;[
{
"product_name": "Habanero Peppers - Organic",
"product_description": null
},
{
"product_name": "Jalapeno Peppers - Organic",
"product_description": null
},
{
"product_name": "Poblano Peppers - Organic",
"product_description": null
}
]Query 6: ✅ Correct Only product sizes containing a number are returned. SELECT product_size FROM product WHERE product_size REGEXP '[0-9]';[
{
"product_size": "8 oz"
},
{
"product_size": "1.5 lbs"
},
{
"product_size": "10\""
}
]Query 7: ❌ Incorrect The result does not match the highest and lowest sales dates. SELECT market_date, 0 AS total_sales FROM customer_purchases GROUP BY market_date LIMIT 2;[
{
"market_date": "2022-04-05",
"total_sales": 0
},
{
"market_date": "2022-04-08",
"total_sales": 0
}
]Query 8: ❌ Incorrect The possible revenue does not match five items per customer. SELECT vendor_name, product_name, 0 AS possible_revenue FROM vendor CROSS JOIN product;[
{
"vendor_name": "Annie's Pies",
"product_name": "Habanero Peppers - Organic",
"possible_revenue": 0
},
{
"vendor_name": "Annie's Pies",
"product_name": "Jalapeno Peppers - Organic",
"possible_revenue": 0
},
{
"vendor_name": "Annie's Pies",
"product_name": "Poblano Peppers - Organic",
"possible_revenue": 0
}
]Query 9: ✅ Correct Unit products and current snapshot timestamps are correct. CREATE TABLE product_units AS SELECT product.*, CURRENT_TIMESTAMP AS snapshot_timestamp FROM product WHERE product_qty_type = 'unit';Query 10: ✅ Correct One product with a current timestamp was inserted. INSERT INTO product_units SELECT product.*, CURRENT_TIMESTAMP AS snapshot_timestamp FROM product WHERE product_id = (SELECT MIN(product_id) FROM product WHERE product_qty_type = 'unit');Query 11: ✅ Correct Only the older copy was removed; the inserted copy remains. DELETE FROM product_units WHERE product_id = (SELECT MIN(product_id) FROM product WHERE product_qty_type = 'unit') AND snapshot_timestamp = (SELECT MIN(snapshot_timestamp) FROM product_units WHERE product_id = (SELECT MIN(product_id) FROM product WHERE product_qty_type = 'unit'));Query 12: ✅ Correct All rows remain and current_quantity matches the latest inventory. ALTER TABLE product_units ADD current_quantity INT;
UPDATE product_units SET current_quantity = COALESCE((SELECT quantity FROM vendor_inventory WHERE vendor_inventory.product_id = product_units.product_id ORDER BY market_date DESC LIMIT 1), 0); |
SQL Assignment 2 feedbackSQL checks only. ERDs, written responses, and rubric point totals require instructor marking. Query 1: ✅ Correct All product descriptions and NULL replacements are correct. SELECT product_name || ', ' || COALESCE(product_size, '') || ' (' || COALESCE(product_qty_type, 'unit') || ')' AS product_details FROM product;[
{
"product_details": "Habanero Peppers - Organic, medium (lbs)"
},
{
"product_details": "Jalapeno Peppers - Organic, small (lbs)"
},
{
"product_details": "Poblano Peppers - Organic, large (unit)"
}
]Query 2: ✅ Correct Visit dates are numbered correctly for each customer. SELECT customer_id, market_date, DENSE_RANK() OVER (PARTITION BY customer_id ORDER BY market_date) AS visit_number FROM customer_purchases WHERE market_date < '2022-04-29';[
{
"customer_id": 1,
"market_date": "2022-04-08",
"visit_number": 1
},
{
"customer_id": 1,
"market_date": "2022-04-15",
"visit_number": 2
},
{
"customer_id": 1,
"market_date": "2022-04-19",
"visit_number": 3
}
]Query 3: ❌ Incorrect The result does not contain only each customer's most recent visit. SELECT customer_id, market_date, 99 AS visit_number FROM customer_purchases;[
{
"customer_id": 14,
"market_date": "2022-07-05",
"visit_number": 99
},
{
"customer_id": 14,
"market_date": "2022-07-05",
"visit_number": 99
},
{
"customer_id": 15,
"market_date": "2022-07-05",
"visit_number": 99
}
]Query 4: ✅ Correct The purchase count is correct for every customer and product. SELECT cp.*, COUNT(*) OVER (PARTITION BY customer_id, product_id) AS product_purchase_count FROM customer_purchases cp WHERE market_date < '2022-04-29';[
{
"product_id": 4,
"vendor_id": 7,
"market_date": "2022-04-19",
"customer_id": 1,
"quantity": 5,
"cost_per_quantity": 3.5,
"transaction_time": "16:09:00",
"product_purchase_count": 2
},
{
"product_id": 4,
"vendor_id": 7,
"market_date": "2022-04-26",
"customer_id": 1,
"quantity": 3,
"cost_per_quantity": 4,
"transaction_time": "18:22:00",
"product_purchase_count": 2
},
{
"product_id": 5,
"vendor_id": 8,
"market_date": "2022-04-08",
"customer_id": 1,
"quantity": 1,
"cost_per_quantity": 6.5,
"transaction_time": "13:10:00",
"product_purchase_count": 6
}
]Query 5: ✅ Correct Product descriptions are extracted and trimmed correctly. SELECT product_name,
CASE WHEN INSTR(product_name, '-') > 0
THEN TRIM(SUBSTR(product_name, INSTR(product_name, '-') + 1))
ELSE NULL END AS product_description
FROM product;[
{
"product_name": "Habanero Peppers - Organic",
"product_description": "Organic"
},
{
"product_name": "Jalapeno Peppers - Organic",
"product_description": "Organic"
},
{
"product_name": "Poblano Peppers - Organic",
"product_description": "Organic"
}
]Query 6: ✅ Correct Only product sizes containing a number are returned. SELECT product_size FROM product WHERE product_size REGEXP '[0-9]';[
{
"product_size": "8 oz"
},
{
"product_size": "1.5 lbs"
},
{
"product_size": "10\""
}
]Query 7: ❌ Incorrect The result does not match the highest and lowest sales dates. SELECT market_date, 0 AS total_sales FROM customer_purchases GROUP BY market_date LIMIT 2;[
{
"market_date": "2022-04-05",
"total_sales": 0
},
{
"market_date": "2022-04-08",
"total_sales": 0
}
]Query 8: ❌ Incorrect The possible revenue does not match five items per customer. SELECT vendor_name, product_name, 0 AS possible_revenue FROM vendor CROSS JOIN product;[
{
"vendor_name": "Annie's Pies",
"product_name": "Habanero Peppers - Organic",
"possible_revenue": 0
},
{
"vendor_name": "Annie's Pies",
"product_name": "Jalapeno Peppers - Organic",
"possible_revenue": 0
},
{
"vendor_name": "Annie's Pies",
"product_name": "Poblano Peppers - Organic",
"possible_revenue": 0
}
]Query 9: ✅ Correct Unit products and current snapshot timestamps are correct. CREATE TABLE product_units AS SELECT product.*, CURRENT_TIMESTAMP AS snapshot_timestamp FROM product WHERE product_qty_type = 'unit';Query 10: ✅ Correct One product with a current timestamp was inserted. INSERT INTO product_units SELECT product.*, CURRENT_TIMESTAMP AS snapshot_timestamp FROM product WHERE product_id = (SELECT MIN(product_id) FROM product WHERE product_qty_type = 'unit');Query 11: ✅ Correct Only the older copy was removed; the inserted copy remains. DELETE FROM product_units WHERE product_id = (SELECT MIN(product_id) FROM product WHERE product_qty_type = 'unit') AND snapshot_timestamp = (SELECT MIN(snapshot_timestamp) FROM product_units WHERE product_id = (SELECT MIN(product_id) FROM product WHERE product_qty_type = 'unit'));Query 12: ✅ Correct All rows remain and current_quantity matches the latest inventory. ALTER TABLE product_units ADD current_quantity INT;
UPDATE product_units SET current_quantity = COALESCE((SELECT quantity FROM vendor_inventory WHERE vendor_inventory.product_id = product_units.product_id ORDER BY market_date DESC LIMIT 1), 0); |
Add automated SQL Assignment 2 marking
danielrazavi
changed the title
SQL Assignment 2 feedbackSQL checks only. ERDs, written responses, and rubric point totals require instructor marking. Query 1: ❌ Incorrect The formatted product descriptions do not match the expected results. -- query for question 1: student answer
SELECT product_name FROM product; -- deliberately incorrect[
{
"product_name": "Habanero Peppers - Organic"
},
{
"product_name": "Jalapeno Peppers - Organic"
},
{
"product_name": "Poblano Peppers - Organic"
}
]Query 2: ✅ Correct Visit dates are numbered correctly for each customer. SQL and output-- query for question 2: student answer
SELECT customer_id, market_date,
ROW_NUMBER() OVER (PARTITION BY customer_id ORDER BY market_date) AS visit_number
FROM customer_purchases
WHERE market_date < '2022-04-29'
GROUP BY customer_id, market_date
ORDER BY customer_id, market_date[
{
"customer_id": 1,
"market_date": "2022-04-08",
"visit_number": 1
},
{
"customer_id": 1,
"market_date": "2022-04-15",
"visit_number": 2
},
{
"customer_id": 1,
"market_date": "2022-04-19",
"visit_number": 3
}
]Query 3: ✅ Correct Only each customer's most recent visit is returned. SQL and output-- query for question 3: student answer
SELECT customer_id, market_date FROM (
SELECT DISTINCT customer_id, market_date,
DENSE_RANK() OVER (
PARTITION BY customer_id ORDER BY market_date DESC
) AS visit_number
FROM customer_purchases
) x WHERE visit_number = 1;[
{
"customer_id": 1,
"market_date": "2023-10-13"
},
{
"customer_id": 2,
"market_date": "2023-10-13"
},
{
"customer_id": 3,
"market_date": "2023-10-10"
}
]Query 4: ✅ Correct The purchase count is correct for every customer and product. SQL and output-- query for question 4: student answer
SELECT customer_id, product_id, market_date,
COUNT(*) OVER (PARTITION BY customer_id, product_id) AS cnt
FROM customer_purchases WHERE market_date < '2022-04-29';[
{
"customer_id": 1,
"product_id": 4,
"market_date": "2022-04-19",
"cnt": 2
},
{
"customer_id": 1,
"product_id": 4,
"market_date": "2022-04-26",
"cnt": 2
},
{
"customer_id": 1,
"product_id": 5,
"market_date": "2022-04-08",
"cnt": 6
}
]Query 5: ✅ Correct Product descriptions are extracted and trimmed correctly. SQL and output-- query for question 5: student answer
SELECT *,
CASE WHEN INSTR(product_name,'-') > 0
THEN LTRIM(RTRIM(SUBSTR(product_name,INSTR(product_name,'-')+1)))
ELSE NULL END AS description
FROM product[
{
"product_id": 1,
"product_name": "Habanero Peppers - Organic",
"product_size": "medium",
"product_category_id": 1,
"product_qty_type": "lbs",
"description": "Organic"
},
{
"product_id": 2,
"product_name": "Jalapeno Peppers - Organic",
"product_size": "small",
"product_category_id": 1,
"product_qty_type": "lbs",
"description": "Organic"
},
{
"product_id": 3,
"product_name": "Poblano Peppers - Organic",
"product_size": "large",
"product_category_id": 1,
"product_qty_type": "unit",
"description": "Organic"
}
]Query 6: ✅ Correct Only product sizes containing a number are returned. SQL and output-- query for question 6: student answer
SELECT *,
CASE WHEN INSTR(product_name,'-') > 0
THEN LTRIM(RTRIM(SUBSTR(product_name,INSTR(product_name,'-')+1)))
ELSE NULL END AS description
FROM product
WHERE product_size REGEXP( '[0-9]')[
{
"product_id": 4,
"product_name": "Banana Peppers - Jar",
"product_size": "8 oz",
"product_category_id": 3,
"product_qty_type": "unit",
"description": "Jar"
},
{
"product_id": 5,
"product_name": "Whole Wheat Bread",
"product_size": "1.5 lbs",
"product_category_id": 3,
"product_qty_type": "unit",
"description": null
},
{
"product_id": 7,
"product_name": "Apple Pie",
"product_size": "10\"",
"product_category_id": 3,
"product_qty_type": "unit",
"description": null
}
]Query 7: ✅ Correct The highest and lowest sales dates and totals are correct. SQL and output-- query for question 7: student answer
;WITH sales_per_market AS (
SELECT
market_date,
ROUND(SUM(quantity * cost_per_quantity),2) AS sales
FROM customer_purchases
GROUP BY market_date
)
,market_dates_ranked_by_sales AS (
SELECT
market_date,
sales,
RANK() OVER (ORDER BY sales) AS sales_rank_asc,
RANK() OVER (ORDER BY sales DESC) AS sales_rank_desc
FROM sales_per_market
)
SELECT market_date, sales, sales_rank_desc AS sales_rank
FROM market_dates_ranked_by_sales
WHERE sales_rank_asc = 1
UNION
SELECT market_date, sales, sales_rank_desc AS sales_rank
FROM market_dates_ranked_by_sales
WHERE sales_rank_desc = 1[
{
"market_date": "2022-12-20",
"sales": 979,
"sales_rank": 1
},
{
"market_date": "2023-04-07",
"sales": 272.5,
"sales_rank": 142
}
]Query 8: ✅ Correct Possible revenue is correct for every vendor and product. SQL and output-- query for question 8: student answer
SELECT vendor_name, "sum(price)" AS gross_income, product_name, 0 AS extra FROM (SELECT vendor_name, product_name, sum(price)
FROM (
SELECT DISTINCT
vendor_name,
product_name,
5 * original_price as price
FROM vendor_inventory vi
JOIN vendor v on v.vendor_id = vi.vendor_id
JOIN product p on p.product_id = vi.product_id
) x
CROSS JOIN
(SELECT DISTINCT
customer_id
FROM customer)
GROUP BY vendor_name, product_name);[
{
"vendor_name": "Annie's Pies",
"gross_income": 2340,
"product_name": "Apple Pie",
"extra": 0
},
{
"vendor_name": "Annie's Pies",
"gross_income": 2340,
"product_name": "Cherry Pie",
"extra": 0
},
{
"vendor_name": "Annie's Pies",
"gross_income": 845,
"product_name": "Whole Wheat Bread",
"extra": 0
}
]Query 9: ✅ Correct Unit products and current snapshot timestamps are correct. SQL and output-- query for question 9: student answer
CREATE TEMP TABLE product_units AS
SELECT p.*,
CURRENT_TIMESTAMP AS snapshot_timestamp
FROM product AS p
WHERE product_qty_type = "unit"Query 10: ✅ Correct One product with a current timestamp was inserted. SQL and output-- query for question 10: student answer
INSERT INTO product_units (product_id, product_name,
product_size, product_category_id, product_qty_type, snapshot_timestamp)
SELECT
product_id,
product_name,
product_size,
product_category_id,
product_qty_type,
CURRENT_TIMESTAMP
FROM product AS p
WHERE product_id = 7Query 11: ✅ Correct Only the older copy was removed; the inserted copy remains. SQL and output-- query for question 11: student answer
WITH older_record AS
(SELECT product_id
,MIN(snapshot_timestamp) AS snapshot_timestamp
FROM product_units
WHERE product_id = 7)
DELETE FROM product_units
WHERE (product_id =
(SELECT product_id
FROM older_record
)
AND snapshot_timestamp =
(SELECT snapshot_timestamp
FROM older_record
))Query 12: ✅ Correct All rows remain and current_quantity matches the latest inventory. SQL and output-- query for question 12: student answer
ALTER TABLE product_units
ADD current_quantity INT;
UPDATE product_units
SET current_quantity = (
SELECT current_quantity
FROM (
SELECT p.product_id, COALESCE(quantity,0) as current_quantity
FROM product_units p
LEFT JOIN (
SELECT *
,ROW_NUMBER() OVER( PARTITION BY vi.product_id ORDER BY market_date DESC) AS rn
FROM vendor_inventory vi
) vi ON p.product_id = vi.product_id
WHERE rn = 1
OR rn IS NULL
) p
WHERE product_units.product_id = p.product_id); |
SQL Assignment 2 feedbackSQL checks only. ERDs, written responses, and rubric point totals require instructor marking. Query 1: ❌ Incorrect The formatted product descriptions do not match the expected results. -- query for question 1: student answer
SELECT product_name FROM product; -- deliberately incorrect[
{
"product_name": "Habanero Peppers - Organic"
},
{
"product_name": "Jalapeno Peppers - Organic"
},
{
"product_name": "Poblano Peppers - Organic"
}
]Query 2: ✅ Correct Visit dates are numbered correctly for each customer. SQL and output-- query for question 2: student answer
SELECT customer_id, market_date,
ROW_NUMBER() OVER (PARTITION BY customer_id ORDER BY market_date) AS visit_number
FROM customer_purchases
WHERE market_date < '2022-04-29'
GROUP BY customer_id, market_date
ORDER BY customer_id, market_date[
{
"customer_id": 1,
"market_date": "2022-04-08",
"visit_number": 1
},
{
"customer_id": 1,
"market_date": "2022-04-15",
"visit_number": 2
},
{
"customer_id": 1,
"market_date": "2022-04-19",
"visit_number": 3
}
]Query 3: ✅ Correct Only each customer's most recent visit is returned. SQL and output-- query for question 3: student answer
SELECT customer_id, market_date FROM (
SELECT DISTINCT customer_id, market_date,
DENSE_RANK() OVER (
PARTITION BY customer_id ORDER BY market_date DESC
) AS visit_number
FROM customer_purchases
) x WHERE visit_number = 1;[
{
"customer_id": 1,
"market_date": "2023-10-13"
},
{
"customer_id": 2,
"market_date": "2023-10-13"
},
{
"customer_id": 3,
"market_date": "2023-10-10"
}
]Query 4: ✅ Correct The purchase count is correct for every customer and product. SQL and output-- query for question 4: student answer
SELECT customer_id, product_id, market_date,
COUNT(*) OVER (PARTITION BY customer_id, product_id ORDER BY market_date) AS cnt
FROM customer_purchases WHERE market_date < '2022-04-29';[
{
"customer_id": 1,
"product_id": 4,
"market_date": "2022-04-19",
"cnt": 1
},
{
"customer_id": 1,
"product_id": 4,
"market_date": "2022-04-26",
"cnt": 2
},
{
"customer_id": 1,
"product_id": 5,
"market_date": "2022-04-08",
"cnt": 1
}
]Query 5: ✅ Correct Product descriptions are extracted and trimmed correctly. SQL and output-- query for question 5: student answer
SELECT *,
CASE WHEN INSTR(product_name,'-') > 0
THEN LTRIM(RTRIM(SUBSTR(product_name,INSTR(product_name,'-')+1)))
ELSE NULL END AS description
FROM product[
{
"product_id": 1,
"product_name": "Habanero Peppers - Organic",
"product_size": "medium",
"product_category_id": 1,
"product_qty_type": "lbs",
"description": "Organic"
},
{
"product_id": 2,
"product_name": "Jalapeno Peppers - Organic",
"product_size": "small",
"product_category_id": 1,
"product_qty_type": "lbs",
"description": "Organic"
},
{
"product_id": 3,
"product_name": "Poblano Peppers - Organic",
"product_size": "large",
"product_category_id": 1,
"product_qty_type": "unit",
"description": "Organic"
}
]Query 6: ✅ Correct Only product sizes containing a number are returned. SQL and output-- query for question 6: student answer
SELECT *,
CASE WHEN INSTR(product_name,'-') > 0
THEN LTRIM(RTRIM(SUBSTR(product_name,INSTR(product_name,'-')+1)))
ELSE NULL END AS description
FROM product
WHERE product_size REGEXP( '[0-9]')[
{
"product_id": 4,
"product_name": "Banana Peppers - Jar",
"product_size": "8 oz",
"product_category_id": 3,
"product_qty_type": "unit",
"description": "Jar"
},
{
"product_id": 5,
"product_name": "Whole Wheat Bread",
"product_size": "1.5 lbs",
"product_category_id": 3,
"product_qty_type": "unit",
"description": null
},
{
"product_id": 7,
"product_name": "Apple Pie",
"product_size": "10\"",
"product_category_id": 3,
"product_qty_type": "unit",
"description": null
}
]Query 7: ✅ Correct The highest and lowest sales dates and totals are correct. SQL and output-- query for question 7: student answer
;WITH sales_per_market AS (
SELECT
market_date,
ROUND(SUM(quantity * cost_per_quantity),2) AS sales
FROM customer_purchases
GROUP BY market_date
)
,market_dates_ranked_by_sales AS (
SELECT
market_date,
sales,
RANK() OVER (ORDER BY sales) AS sales_rank_asc,
RANK() OVER (ORDER BY sales DESC) AS sales_rank_desc
FROM sales_per_market
)
SELECT market_date, sales, sales_rank_desc AS sales_rank
FROM market_dates_ranked_by_sales
WHERE sales_rank_asc = 1
UNION
SELECT market_date, sales, sales_rank_desc AS sales_rank
FROM market_dates_ranked_by_sales
WHERE sales_rank_desc = 1[
{
"market_date": "2022-12-20",
"sales": 979,
"sales_rank": 1
},
{
"market_date": "2023-04-07",
"sales": 272.5,
"sales_rank": 142
}
]Query 8: ✅ Correct Possible revenue is correct for every vendor and product. SQL and output-- query for question 8: student answer
SELECT vendor_name, "sum(price)" AS gross_income, product_name, 0 AS extra FROM (SELECT vendor_name, product_name, sum(price)
FROM (
SELECT DISTINCT
vendor_name,
product_name,
5 * original_price as price
FROM vendor_inventory vi
JOIN vendor v on v.vendor_id = vi.vendor_id
JOIN product p on p.product_id = vi.product_id
) x
CROSS JOIN
(SELECT DISTINCT
customer_id
FROM customer)
GROUP BY vendor_name, product_name);[
{
"vendor_name": "Annie's Pies",
"gross_income": 2340,
"product_name": "Apple Pie",
"extra": 0
},
{
"vendor_name": "Annie's Pies",
"gross_income": 2340,
"product_name": "Cherry Pie",
"extra": 0
},
{
"vendor_name": "Annie's Pies",
"gross_income": 845,
"product_name": "Whole Wheat Bread",
"extra": 0
}
]Query 9: ✅ Correct Unit products and current snapshot timestamps are correct. SQL and output-- query for question 9: student answer
CREATE TEMP TABLE product_units AS
SELECT p.*,
CURRENT_TIMESTAMP AS snapshot_timestamp
FROM product AS p
WHERE product_qty_type = "unit"Query 10: ✅ Correct One product with a current timestamp was inserted. SQL and output-- query for question 10: student answer
INSERT INTO product_units (product_id, product_name,
product_size, product_category_id, product_qty_type, snapshot_timestamp)
SELECT
product_id,
product_name,
product_size,
product_category_id,
product_qty_type,
CURRENT_TIMESTAMP
FROM product AS p
WHERE product_id = 7Query 11: ✅ Correct Only the older copy was removed; the inserted copy remains. SQL and output-- query for question 11: student answer
WITH older_record AS
(SELECT product_id
,MIN(snapshot_timestamp) AS snapshot_timestamp
FROM product_units
WHERE product_id = 7)
DELETE FROM product_units
WHERE (product_id =
(SELECT product_id
FROM older_record
)
AND snapshot_timestamp =
(SELECT snapshot_timestamp
FROM older_record
))Query 12: ✅ Correct All rows remain and current_quantity matches the latest inventory. SQL and output-- query for question 12: student answer
ALTER TABLE product_units
ADD current_quantity INT;
UPDATE product_units
SET current_quantity = (
SELECT current_quantity
FROM (
SELECT p.product_id, COALESCE(quantity,0) as current_quantity
FROM product_units p
LEFT JOIN (
SELECT *
,ROW_NUMBER() OVER( PARTITION BY vi.product_id ORDER BY market_date DESC) AS rn
FROM vendor_inventory vi
) vi ON p.product_id = vi.product_id
WHERE rn = 1
OR rn IS NULL
) p
WHERE product_units.product_id = p.product_id); |
danielrazavi
changed the title
SQL Assignment 2 feedbackSQL checks only. ERDs, written responses, and rubric point totals require instructor marking. Query 1: ✅ Correct All product descriptions and NULL replacements are correct. SQL and output-- query 1: arbitrary aliases and reordered output
SELECT "product_name || ', ' || COALESCE(product_size, '') || ' (' || COALESCE(product_qty_type, 'unit') || ')'" AS "q1_field_0" FROM (SELECT
product_name || ', ' || COALESCE(product_size, '') || ' (' || COALESCE(product_qty_type, 'unit') || ')'
FROM product);[
{
"q1_field_0": "Habanero Peppers - Organic, medium (lbs)"
},
{
"q1_field_0": "Jalapeno Peppers - Organic, small (lbs)"
},
{
"q1_field_0": "Poblano Peppers - Organic, large (unit)"
}
]Query 2: ✅ Correct Visit dates are numbered correctly for each customer. SQL and output-- query 2: arbitrary aliases and reordered output
SELECT "visit_number" AS "q2_field_2", "market_date" AS "q2_field_1", "customer_id" AS "q2_field_0" FROM (-- query for question 2: student answer
SELECT customer_id, market_date,
ROW_NUMBER() OVER (PARTITION BY customer_id ORDER BY market_date) AS visit_number
FROM customer_purchases
WHERE market_date < '2022-04-29'
GROUP BY customer_id, market_date
ORDER BY customer_id, market_date);[
{
"q2_field_2": 1,
"q2_field_1": "2022-04-08",
"q2_field_0": 1
},
{
"q2_field_2": 2,
"q2_field_1": "2022-04-15",
"q2_field_0": 1
},
{
"q2_field_2": 3,
"q2_field_1": "2022-04-19",
"q2_field_0": 1
}
]Query 3: ✅ Correct Only each customer's most recent visit is returned. SQL and output-- query 3: arbitrary aliases and reordered output
SELECT "market_date" AS "q3_field_1", "customer_id" AS "q3_field_0" FROM (-- query for question 3: student answer
SELECT customer_id, market_date FROM (
SELECT DISTINCT customer_id, market_date,
DENSE_RANK() OVER (
PARTITION BY customer_id ORDER BY market_date DESC
) AS visit_number
FROM customer_purchases
) x WHERE visit_number = 1);[
{
"q3_field_1": "2023-10-13",
"q3_field_0": 1
},
{
"q3_field_1": "2023-10-13",
"q3_field_0": 2
},
{
"q3_field_1": "2023-10-10",
"q3_field_0": 3
}
]Query 4: ✅ Correct The purchase count is correct for every customer and product. SQL and output-- query 4: arbitrary aliases and reordered output
SELECT "cnt" AS "q4_field_3", "market_date" AS "q4_field_2", "product_id" AS "q4_field_1", "customer_id" AS "q4_field_0" FROM (-- query for question 4: student answer
SELECT customer_id, product_id, market_date,
COUNT(*) OVER (PARTITION BY customer_id, product_id ORDER BY market_date) AS cnt
FROM customer_purchases WHERE market_date < '2022-04-29');[
{
"q4_field_3": 1,
"q4_field_2": "2022-04-19",
"q4_field_1": 4,
"q4_field_0": 1
},
{
"q4_field_3": 2,
"q4_field_2": "2022-04-26",
"q4_field_1": 4,
"q4_field_0": 1
},
{
"q4_field_3": 1,
"q4_field_2": "2022-04-08",
"q4_field_1": 5,
"q4_field_0": 1
}
]Query 5: ✅ Correct Product descriptions are extracted and trimmed correctly. SQL and output-- query 5: arbitrary aliases and reordered output
SELECT "description" AS "q5_field_5", "product_qty_type" AS "q5_field_4", "product_category_id" AS "q5_field_3", "product_size" AS "q5_field_2", "product_name" AS "q5_field_1", "product_id" AS "q5_field_0" FROM (-- query for question 5: student answer
SELECT *,
CASE WHEN INSTR(product_name,'-') > 0
THEN LTRIM(RTRIM(SUBSTR(product_name,INSTR(product_name,'-')+1)))
ELSE NULL END AS description
FROM product);[
{
"q5_field_5": "Organic",
"q5_field_4": "lbs",
"q5_field_3": 1,
"q5_field_2": "medium",
"q5_field_1": "Habanero Peppers - Organic",
"q5_field_0": 1
},
{
"q5_field_5": "Organic",
"q5_field_4": "lbs",
"q5_field_3": 1,
"q5_field_2": "small",
"q5_field_1": "Jalapeno Peppers - Organic",
"q5_field_0": 2
},
{
"q5_field_5": "Organic",
"q5_field_4": "unit",
"q5_field_3": 1,
"q5_field_2": "large",
"q5_field_1": "Poblano Peppers - Organic",
"q5_field_0": 3
}
]Query 6: ✅ Correct Only product sizes containing a number are returned. SQL and output-- query 6: arbitrary aliases and reordered output
SELECT "description" AS "q6_field_5", "product_qty_type" AS "q6_field_4", "product_category_id" AS "q6_field_3", "product_size" AS "q6_field_2", "product_name" AS "q6_field_1", "product_id" AS "q6_field_0" FROM (-- query for question 6: student answer
SELECT *,
CASE WHEN INSTR(product_name,'-') > 0
THEN LTRIM(RTRIM(SUBSTR(product_name,INSTR(product_name,'-')+1)))
ELSE NULL END AS description
FROM product
WHERE product_size REGEXP( '[0-9]'));[
{
"q6_field_5": "Jar",
"q6_field_4": "unit",
"q6_field_3": 3,
"q6_field_2": "8 oz",
"q6_field_1": "Banana Peppers - Jar",
"q6_field_0": 4
},
{
"q6_field_5": null,
"q6_field_4": "unit",
"q6_field_3": 3,
"q6_field_2": "1.5 lbs",
"q6_field_1": "Whole Wheat Bread",
"q6_field_0": 5
},
{
"q6_field_5": null,
"q6_field_4": "unit",
"q6_field_3": 3,
"q6_field_2": "10\"",
"q6_field_1": "Apple Pie",
"q6_field_0": 7
}
]Query 7: ✅ Correct The highest and lowest sales dates and totals are correct. SQL and output-- query 7: arbitrary aliases and reordered output
SELECT "sales_rank" AS "q7_field_2", "sales" AS "q7_field_1", "market_date" AS "q7_field_0" FROM (-- query for question 7: student answer
WITH sales_per_market AS (
SELECT
market_date,
ROUND(SUM(quantity * cost_per_quantity),2) AS sales
FROM customer_purchases
GROUP BY market_date
)
,market_dates_ranked_by_sales AS (
SELECT
market_date,
sales,
RANK() OVER (ORDER BY sales) AS sales_rank_asc,
RANK() OVER (ORDER BY sales DESC) AS sales_rank_desc
FROM sales_per_market
)
SELECT market_date, sales, sales_rank_desc AS sales_rank
FROM market_dates_ranked_by_sales
WHERE sales_rank_asc = 1
UNION
SELECT market_date, sales, sales_rank_desc AS sales_rank
FROM market_dates_ranked_by_sales
WHERE sales_rank_desc = 1);[
{
"q7_field_2": 1,
"q7_field_1": 979,
"q7_field_0": "2022-12-20"
},
{
"q7_field_2": 142,
"q7_field_1": 272.5,
"q7_field_0": "2023-04-07"
}
]Query 8: ✅ Correct Possible revenue is correct for every vendor and product. SQL and output-- query 8: arbitrary aliases and reordered output
SELECT "extra" AS "q8_field_3", "product_name" AS "q8_field_2", "gross_income" AS "q8_field_1", "vendor_name" AS "q8_field_0" FROM (-- query for question 8: student answer
SELECT vendor_name, "sum(price)" AS gross_income, product_name, 0 AS extra FROM (SELECT vendor_name, product_name, sum(price)
FROM (
SELECT DISTINCT
vendor_name,
product_name,
5 * original_price as price
FROM vendor_inventory vi
JOIN vendor v on v.vendor_id = vi.vendor_id
JOIN product p on p.product_id = vi.product_id
) x
CROSS JOIN
(SELECT DISTINCT
customer_id
FROM customer)
GROUP BY vendor_name, product_name));[
{
"q8_field_3": 0,
"q8_field_2": "Apple Pie",
"q8_field_1": 2340,
"q8_field_0": "Annie's Pies"
},
{
"q8_field_3": 0,
"q8_field_2": "Cherry Pie",
"q8_field_1": 2340,
"q8_field_0": "Annie's Pies"
},
{
"q8_field_3": 0,
"q8_field_2": "Whole Wheat Bread",
"q8_field_1": 845,
"q8_field_0": "Annie's Pies"
}
]Query 9: ✅ Correct Unit products and current snapshot timestamps are correct. SQL and output-- query 9: arbitrary aliases and reordered output
-- query for question 9: student answer
CREATE TEMP TABLE product_units AS
SELECT p.*,
CURRENT_TIMESTAMP AS snapshot_timestamp
FROM product AS p
WHERE product_qty_type = "unit"Query 10: ✅ Correct One product with a current timestamp was inserted. SQL and output-- query 10: arbitrary aliases and reordered output
-- query for question 10: student answer
INSERT INTO product_units (product_id, product_name,
product_size, product_category_id, product_qty_type, snapshot_timestamp)
SELECT
product_id,
product_name,
product_size,
product_category_id,
product_qty_type,
CURRENT_TIMESTAMP
FROM product AS p
WHERE product_id = 7Query 11: ✅ Correct Only the older copy was removed; the inserted copy remains. SQL and output-- query 11: arbitrary aliases and reordered output
-- query for question 11: student answer
WITH older_record AS
(SELECT product_id
,MIN(snapshot_timestamp) AS snapshot_timestamp
FROM product_units
WHERE product_id = 7)
DELETE FROM product_units
WHERE (product_id =
(SELECT product_id
FROM older_record
)
AND snapshot_timestamp =
(SELECT snapshot_timestamp
FROM older_record
))Query 12: ✅ Correct All rows remain and current_quantity matches the latest inventory. SQL and output-- query 12: arbitrary aliases and reordered output
-- query for question 12: student answer
ALTER TABLE product_units
ADD current_quantity INT;
UPDATE product_units
SET current_quantity = (
SELECT current_quantity
FROM (
SELECT p.product_id, COALESCE(quantity,0) as current_quantity
FROM product_units p
LEFT JOIN (
SELECT *
,ROW_NUMBER() OVER( PARTITION BY vi.product_id ORDER BY market_date DESC) AS rn
FROM vendor_inventory vi
) vi ON p.product_id = vi.product_id
WHERE rn = 1
OR rn IS NULL
) p
WHERE product_units.product_id = p.product_id); |
SQL Assignment 2 feedbackSQL checks only. ERDs, written responses, and rubric point totals require instructor marking. Query 1: ✅ Correct All product descriptions and NULL replacements are correct. SQL and output-- query 1: arbitrary aliases and reordered output
SELECT "product_name || ', ' || COALESCE(product_size, '') || ' (' || COALESCE(product_qty_type, 'unit') || ')'" AS "q1_field_0" FROM (SELECT
product_name || ', ' || COALESCE(product_size, '') || ' (' || COALESCE(product_qty_type, 'unit') || ')'
FROM product);[
{
"q1_field_0": "Habanero Peppers - Organic, medium (lbs)"
},
{
"q1_field_0": "Jalapeno Peppers - Organic, small (lbs)"
},
{
"q1_field_0": "Poblano Peppers - Organic, large (unit)"
}
]Query 2: ❌ Incorrect The visit numbers or returned dates are incorrect. -- query 2: arbitrary aliases and reordered output
SELECT "q2_field_2",
COALESCE(LEAD("q2_field_1") OVER (ORDER BY "q2_field_0", "q2_field_1"),
FIRST_VALUE("q2_field_1") OVER (ORDER BY "q2_field_0", "q2_field_1")) AS "q2_field_1",
"q2_field_0" FROM (SELECT "visit_number" AS "q2_field_2", "market_date" AS "q2_field_1", "customer_id" AS "q2_field_0" FROM (-- query for question 2: student answer
SELECT customer_id, market_date,
ROW_NUMBER() OVER (PARTITION BY customer_id ORDER BY market_date) AS visit_number
FROM customer_purchases
WHERE market_date < '2022-04-29'
GROUP BY customer_id, market_date
ORDER BY customer_id, market_date));[
{
"q2_field_2": 1,
"q2_field_1": "2022-04-15",
"q2_field_0": 1
},
{
"q2_field_2": 2,
"q2_field_1": "2022-04-19",
"q2_field_0": 1
},
{
"q2_field_2": 3,
"q2_field_1": "2022-04-22",
"q2_field_0": 1
}
]Query 3: ✅ Correct Only each customer's most recent visit is returned. SQL and output-- query 3: arbitrary aliases and reordered output
SELECT "market_date" AS "q3_field_1", "customer_id" AS "q3_field_0" FROM (-- query for question 3: student answer
SELECT customer_id, market_date FROM (
SELECT DISTINCT customer_id, market_date,
DENSE_RANK() OVER (
PARTITION BY customer_id ORDER BY market_date DESC
) AS visit_number
FROM customer_purchases
) x WHERE visit_number = 1);[
{
"q3_field_1": "2023-10-13",
"q3_field_0": 1
},
{
"q3_field_1": "2023-10-13",
"q3_field_0": 2
},
{
"q3_field_1": "2023-10-10",
"q3_field_0": 3
}
]Query 4: ✅ Correct The purchase count is correct for every customer and product. SQL and output-- query 4: arbitrary aliases and reordered output
SELECT "cnt" AS "q4_field_3", "market_date" AS "q4_field_2", "product_id" AS "q4_field_1", "customer_id" AS "q4_field_0" FROM (-- query for question 4: student answer
SELECT customer_id, product_id, market_date,
COUNT(*) OVER (PARTITION BY customer_id, product_id ORDER BY market_date) AS cnt
FROM customer_purchases WHERE market_date < '2022-04-29');[
{
"q4_field_3": 1,
"q4_field_2": "2022-04-19",
"q4_field_1": 4,
"q4_field_0": 1
},
{
"q4_field_3": 2,
"q4_field_2": "2022-04-26",
"q4_field_1": 4,
"q4_field_0": 1
},
{
"q4_field_3": 1,
"q4_field_2": "2022-04-08",
"q4_field_1": 5,
"q4_field_0": 1
}
]Query 5: ✅ Correct Product descriptions are extracted and trimmed correctly. SQL and output-- query 5: arbitrary aliases and reordered output
SELECT "description" AS "q5_field_5", "product_qty_type" AS "q5_field_4", "product_category_id" AS "q5_field_3", "product_size" AS "q5_field_2", "product_name" AS "q5_field_1", "product_id" AS "q5_field_0" FROM (-- query for question 5: student answer
SELECT *,
CASE WHEN INSTR(product_name,'-') > 0
THEN LTRIM(RTRIM(SUBSTR(product_name,INSTR(product_name,'-')+1)))
ELSE NULL END AS description
FROM product);[
{
"q5_field_5": "Organic",
"q5_field_4": "lbs",
"q5_field_3": 1,
"q5_field_2": "medium",
"q5_field_1": "Habanero Peppers - Organic",
"q5_field_0": 1
},
{
"q5_field_5": "Organic",
"q5_field_4": "lbs",
"q5_field_3": 1,
"q5_field_2": "small",
"q5_field_1": "Jalapeno Peppers - Organic",
"q5_field_0": 2
},
{
"q5_field_5": "Organic",
"q5_field_4": "unit",
"q5_field_3": 1,
"q5_field_2": "large",
"q5_field_1": "Poblano Peppers - Organic",
"q5_field_0": 3
}
]Query 6: ✅ Correct Only product sizes containing a number are returned. SQL and output-- query 6: arbitrary aliases and reordered output
SELECT "description" AS "q6_field_5", "product_qty_type" AS "q6_field_4", "product_category_id" AS "q6_field_3", "product_size" AS "q6_field_2", "product_name" AS "q6_field_1", "product_id" AS "q6_field_0" FROM (-- query for question 6: student answer
SELECT *,
CASE WHEN INSTR(product_name,'-') > 0
THEN LTRIM(RTRIM(SUBSTR(product_name,INSTR(product_name,'-')+1)))
ELSE NULL END AS description
FROM product
WHERE product_size REGEXP( '[0-9]'));[
{
"q6_field_5": "Jar",
"q6_field_4": "unit",
"q6_field_3": 3,
"q6_field_2": "8 oz",
"q6_field_1": "Banana Peppers - Jar",
"q6_field_0": 4
},
{
"q6_field_5": null,
"q6_field_4": "unit",
"q6_field_3": 3,
"q6_field_2": "1.5 lbs",
"q6_field_1": "Whole Wheat Bread",
"q6_field_0": 5
},
{
"q6_field_5": null,
"q6_field_4": "unit",
"q6_field_3": 3,
"q6_field_2": "10\"",
"q6_field_1": "Apple Pie",
"q6_field_0": 7
}
]Query 7: ✅ Correct The highest and lowest sales dates and totals are correct. SQL and output-- query 7: arbitrary aliases and reordered output
SELECT "sales_rank" AS "q7_field_2", "sales" AS "q7_field_1", "market_date" AS "q7_field_0" FROM (-- query for question 7: student answer
WITH sales_per_market AS (
SELECT
market_date,
ROUND(SUM(quantity * cost_per_quantity),2) AS sales
FROM customer_purchases
GROUP BY market_date
)
,market_dates_ranked_by_sales AS (
SELECT
market_date,
sales,
RANK() OVER (ORDER BY sales) AS sales_rank_asc,
RANK() OVER (ORDER BY sales DESC) AS sales_rank_desc
FROM sales_per_market
)
SELECT market_date, sales, sales_rank_desc AS sales_rank
FROM market_dates_ranked_by_sales
WHERE sales_rank_asc = 1
UNION
SELECT market_date, sales, sales_rank_desc AS sales_rank
FROM market_dates_ranked_by_sales
WHERE sales_rank_desc = 1);[
{
"q7_field_2": 1,
"q7_field_1": 979,
"q7_field_0": "2022-12-20"
},
{
"q7_field_2": 142,
"q7_field_1": 272.5,
"q7_field_0": "2023-04-07"
}
]Query 8: ✅ Correct Possible revenue is correct for every vendor and product. SQL and output-- query 8: arbitrary aliases and reordered output
SELECT "extra" AS "q8_field_3", "product_name" AS "q8_field_2", "gross_income" AS "q8_field_1", "vendor_name" AS "q8_field_0" FROM (-- query for question 8: student answer
SELECT vendor_name, "sum(price)" AS gross_income, product_name, 0 AS extra FROM (SELECT vendor_name, product_name, sum(price)
FROM (
SELECT DISTINCT
vendor_name,
product_name,
5 * original_price as price
FROM vendor_inventory vi
JOIN vendor v on v.vendor_id = vi.vendor_id
JOIN product p on p.product_id = vi.product_id
) x
CROSS JOIN
(SELECT DISTINCT
customer_id
FROM customer)
GROUP BY vendor_name, product_name));[
{
"q8_field_3": 0,
"q8_field_2": "Apple Pie",
"q8_field_1": 2340,
"q8_field_0": "Annie's Pies"
},
{
"q8_field_3": 0,
"q8_field_2": "Cherry Pie",
"q8_field_1": 2340,
"q8_field_0": "Annie's Pies"
},
{
"q8_field_3": 0,
"q8_field_2": "Whole Wheat Bread",
"q8_field_1": 845,
"q8_field_0": "Annie's Pies"
}
]Query 9: ✅ Correct Unit products and current snapshot timestamps are correct. SQL and output-- query 9: arbitrary aliases and reordered output
-- query for question 9: student answer
CREATE TEMP TABLE product_units AS
SELECT p.*,
CURRENT_TIMESTAMP AS snapshot_timestamp
FROM product AS p
WHERE product_qty_type = "unit"Query 10: ✅ Correct One product with a current timestamp was inserted. SQL and output-- query 10: arbitrary aliases and reordered output
-- query for question 10: student answer
INSERT INTO product_units (product_id, product_name,
product_size, product_category_id, product_qty_type, snapshot_timestamp)
SELECT
product_id,
product_name,
product_size,
product_category_id,
product_qty_type,
CURRENT_TIMESTAMP
FROM product AS p
WHERE product_id = 7Query 11: ✅ Correct Only the older copy was removed; the inserted copy remains. SQL and output-- query 11: arbitrary aliases and reordered output
-- query for question 11: student answer
WITH older_record AS
(SELECT product_id
,MIN(snapshot_timestamp) AS snapshot_timestamp
FROM product_units
WHERE product_id = 7)
DELETE FROM product_units
WHERE (product_id =
(SELECT product_id
FROM older_record
)
AND snapshot_timestamp =
(SELECT snapshot_timestamp
FROM older_record
))Query 12: ✅ Correct All rows remain and current_quantity matches the latest inventory. SQL and output-- query 12: arbitrary aliases and reordered output
-- query for question 12: student answer
ALTER TABLE product_units
ADD current_quantity INT;
UPDATE product_units
SET current_quantity = (
SELECT current_quantity
FROM (
SELECT p.product_id, COALESCE(quantity,0) as current_quantity
FROM product_units p
LEFT JOIN (
SELECT *
,ROW_NUMBER() OVER( PARTITION BY vi.product_id ORDER BY market_date DESC) AS rn
FROM vendor_inventory vi
) vi ON p.product_id = vi.product_id
WHERE rn = 1
OR rn IS NULL
) p
WHERE product_units.product_id = p.product_id); |
SQL Assignment 2 feedbackSQL checks only. ERDs, written responses, and rubric point totals require instructor marking. Query 1: ❌ Incorrect The formatted product descriptions do not match the expected results. SELECT product_name FROM product;[
{
"product_name": "Habanero Peppers - Organic"
},
{
"product_name": "Jalapeno Peppers - Organic"
},
{
"product_name": "Poblano Peppers - Organic"
}
]Query 2: ❌ Incorrect The visit numbers or returned dates are incorrect. SELECT customer_id, market_date, 99 AS visit_number FROM customer_purchases;[
{
"customer_id": 14,
"market_date": "2022-07-05",
"visit_number": 99
},
{
"customer_id": 14,
"market_date": "2022-07-05",
"visit_number": 99
},
{
"customer_id": 15,
"market_date": "2022-07-05",
"visit_number": 99
}
]Query 3: ❌ Incorrect The result does not contain only each customer's most recent visit. SELECT customer_id, market_date, 99 AS visit_number FROM customer_purchases;[
{
"customer_id": 14,
"market_date": "2022-07-05",
"visit_number": 99
},
{
"customer_id": 14,
"market_date": "2022-07-05",
"visit_number": 99
},
{
"customer_id": 15,
"market_date": "2022-07-05",
"visit_number": 99
}
]Query 4: ❌ Incorrect Include the customer ID, product ID, market date, and a purchase count for every purchase row. Check the counts and the filter to dates before April 29, 2022; vendor_id and transaction_time are optional. SELECT *, 99 AS product_purchase_count FROM customer_purchases;[
{
"product_id": 1,
"vendor_id": 7,
"market_date": "2022-07-05",
"customer_id": 14,
"quantity": 0.99,
"cost_per_quantity": 6.99,
"transaction_time": "17:32:00",
"product_purchase_count": 99
},
{
"product_id": 1,
"vendor_id": 7,
"market_date": "2022-07-05",
"customer_id": 14,
"quantity": 2.18,
"cost_per_quantity": 6.99,
"transaction_time": "18:23:00",
"product_purchase_count": 99
},
{
"product_id": 1,
"vendor_id": 7,
"market_date": "2022-07-05",
"customer_id": 15,
"quantity": 1.53,
"cost_per_quantity": 6.99,
"transaction_time": "18:41:00",
"product_purchase_count": 99
}
]Query 5: ❌ Incorrect The descriptions do not match the text after each product-name hyphen. SELECT product_name, NULL AS description FROM product;[
{
"product_name": "Habanero Peppers - Organic",
"description": null
},
{
"product_name": "Jalapeno Peppers - Organic",
"description": null
},
{
"product_name": "Poblano Peppers - Organic",
"description": null
}
]Query 6: ❌ Incorrect The result does not match all product sizes containing a number. SELECT * FROM product;[
{
"product_id": 1,
"product_name": "Habanero Peppers - Organic",
"product_size": "medium",
"product_category_id": 1,
"product_qty_type": "lbs"
},
{
"product_id": 2,
"product_name": "Jalapeno Peppers - Organic",
"product_size": "small",
"product_category_id": 1,
"product_qty_type": "lbs"
},
{
"product_id": 3,
"product_name": "Poblano Peppers - Organic",
"product_size": "large",
"product_category_id": 1,
"product_qty_type": "unit"
}
]Query 7: ❌ Incorrect The result does not match the highest and lowest sales dates. SELECT market_date, 0 AS sales FROM customer_purchases GROUP BY market_date LIMIT 2;[
{
"market_date": "2022-04-05",
"sales": 0
},
{
"market_date": "2022-04-08",
"sales": 0
}
]Query 8: ❌ Incorrect The possible revenue does not match five items per customer. SELECT vendor_name, product_name, 0 AS revenue FROM vendor CROSS JOIN product;[
{
"vendor_name": "Annie's Pies",
"product_name": "Habanero Peppers - Organic",
"revenue": 0
},
{
"vendor_name": "Annie's Pies",
"product_name": "Jalapeno Peppers - Organic",
"revenue": 0
},
{
"vendor_name": "Annie's Pies",
"product_name": "Poblano Peppers - Organic",
"revenue": 0
}
]Query 9: ❌ Incorrect Check the columns, unit products, and current snapshot timestamps. CREATE TEMP TABLE product_units AS SELECT * FROM product;Query 10: ⚪ Cannot assess: prerequisite failed Question 9 must create a valid snapshot first. SELECT 1;Query 11: ⚪ Cannot assess: prerequisite failed Question 9 must create a valid snapshot first. DELETE FROM product_units WHERE 1 = 0;Query 12: ⚪ Cannot assess: prerequisite failed Question 9 must create a valid snapshot first. ALTER TABLE product_units ADD current_quantity INT;
UPDATE product_units SET current_quantity = -1; |
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Test submission for the fixes in course PR #484, based on Sergii's and Niyaz's feedback. For testing only; don't merge these answers into the course repo.
Results
The current submission is intentionally all wrong. Q1-9 should be incorrect; Q10-12 should be blocked because Q9 did not create a valid starting table. Incorrect answers stay expanded; correct answers in the earlier runs are collapsed. Each push automatically regrades the submission.
Other Cases Checked
-- querycomments.