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Original file line number Diff line number Diff line change
Expand Up @@ -57,7 +57,10 @@ The store wants to keep customer addresses. Propose two architectures for the CU
**HINT:** search type 1 vs type 2 slowly changing dimensions.

```
Your answer...
In both cases, the customer address table would need to link customer_id to the customer.
Type 1 is the overwrite option, which would include utilizing the UPDATE function in SQL. The original address would be replaced with a new address, leaving a 1:1 relationship between customer and customer_address.
Type 2 retains original address information by using the INSERT function in SQL to add another row. In a case where a customer moved, two (or more) addresses would be linked to the same customer ID, creating a 1:M relationship. Possible additions would include start_date and end_date.

```

***
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231 changes: 217 additions & 14 deletions 02_activities/assignments/Microcredential_Cohort/assignment2.sql
Original file line number Diff line number Diff line change
Expand Up @@ -23,8 +23,13 @@ Edit the appropriate columns -- you're making two edits -- and the NULL rows wil
All the other rows will remain the same. */
--QUERY 1

SELECT
coalesce(product_name, '') || ', ' ||
product_size || ' (' ||
coalesce(product_qty_type, 'unit') || ')'
FROM product;


--This fix still provides a NULL result for 13 and would have to be expanded to return zero NULLS

--END QUERY

Expand All @@ -41,6 +46,16 @@ HINT: One of these approaches uses ROW_NUMBER() and one uses DENSE_RANK().
Filter the visits to dates before April 29, 2022. */
--QUERY 2

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'
ORDER BY customer_id, market_date;



Expand All @@ -53,8 +68,19 @@ only the customer’s most recent visit.
HINT: Do not use the previous visit dates filter. */
--QUERY 3



SELECT *
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
) AS recent_visits
WHERE visit_number = 1
ORDER BY customer_id;

--END QUERY

Expand All @@ -66,7 +92,13 @@ You can make this a running count by including an ORDER BY in the window functio
Filter the visits to dates before April 29, 2022. */
--QUERY 4


SELECT
*,
COUNT(*) OVER (
PARTITION BY customer_id, product_id)
AS product_purchase_count
FROM customer_purchases
WHERE market_date < '2022-04-29';


--END QUERY
Expand All @@ -85,17 +117,26 @@ Remove any trailing or leading whitespaces. Don't just use a case statement for
Hint: you might need to use INSTR(product_name,'-') to find the hyphens. INSTR will help split the column. */
--QUERY 5

SELECT
product_name,
CASE
WHEN INSTR(product_name, "-") > 0
THEN TRIM (SUBSTR(product_name, INSTR(product_name, '-') +1))
ELSE NULL
END AS description
FROM product;


--+1 to define position

--END QUERY


/* 2. Filter the query to show any product_size value that contain a number with REGEXP. */
--QUERY 6



SELECT *
FROM product
WHERE product_size REGEXP '[0-9]';

--END QUERY

Expand All @@ -111,8 +152,41 @@ HINT: There are a possibly a few ways to do this query, but if you're struggling
with a UNION binding them. */
--QUERY 7



DROP TABLE IF EXISTS ranked_sales;
DROP TABLE IF EXISTS daily_sales;

CREATE TEMP TABLE daily_sales AS
SELECT
market_date,
SUM(quantity * cost_per_quantity) AS total_sales
FROM customer_purchases
GROUP BY market_date;

CREATE TEMP TABLE ranked_sales AS
SELECT
market_date,
total_sales,
RANK() OVER (
ORDER BY total_sales DESC
) AS sales_rank,
RANK() OVER (
ORDER BY total_sales ASC
) AS reverse_rank
FROM daily_sales;

SELECT
market_date,
total_sales
FROM ranked_sales
WHERE sales_rank = 1

UNION

SELECT
market_date,
total_sales
FROM ranked_sales
WHERE reverse_rank = 1;

--END QUERY

Expand All @@ -132,8 +206,30 @@ How many customers are there (y).
Before your final group by you should have the product of those two queries (x*y). */
--QUERY 8

--QUERY 8


SELECT
v.vendor_name,
p.product_name,
SUM(5 * vi.original_price) AS total_sales
FROM (
SELECT DISTINCT
vendor_id,
product_id,
original_price
FROM vendor_inventory
) AS vi
JOIN vendor AS v
ON vi.vendor_id = v.vendor_id
JOIN product AS p
ON vi.product_id = p.product_id
CROSS JOIN customer AS c
GROUP BY
v.vendor_name,
p.product_name
ORDER BY
v.vendor_name,
p.product_name;

--END QUERY

Expand All @@ -145,8 +241,22 @@ It should use all of the columns from the product table, as well as a new column
Name the timestamp column `snapshot_timestamp`. */
--QUERY 9

DROP TABLE IF EXISTS product_units;


CREATE TABLE product_units AS
SELECT
product_id,
product_name,
product_size,
product_category_id,
product_qty_type,
CURRENT_TIMESTAMP AS snapshot_timestamp
FROM product
WHERE product_qty_type = 'unit';

--Checking the table because I couldn't see it
SELECT *
FROM product_units;

--END QUERY

Expand All @@ -155,8 +265,48 @@ Name the timestamp column `snapshot_timestamp`. */
This can be any product you desire (e.g. add another record for Apple Pie). */
--QUERY 10



INSERT INTO product_units
VALUES (24, 'Cut Roses Bouquet', 'medium', 5, 'unit', CURRENT_TIMESTAMP);

--Checking the table because I couldn't see it
SELECT *
FROM product_units;

SELECT *
FROM product_units
WHERE product_id = 24;

--This is where I realized that I took the instructions wrong ughhhh
DELETE FROM product_units
WHERE product_id = 24;

SELECT *
FROM product_units
WHERE product_id = 24;

INSERT INTO product_units
VALUES (6, 'Cut Zinnias Bouquet', 'medium', 5, 'unit', CURRENT_TIMESTAMP);

SELECT *
FROM product_units
WHERE product_id = 6;

--Checking why they have the same timestamp
SELECT
product_id,
product_name,
snapshot_timestamp
FROM product_units
WHERE product_name = 'Cut Zinnias Bouquet';

SELECT
rowid,
product_id,
product_name,
snapshot_timestamp
FROM product_units
WHERE product_name = 'Cut Zinnias Bouquet';
--Finally

--END QUERY

Expand All @@ -167,8 +317,27 @@ This can be any product you desire (e.g. add another record for Apple Pie). */
HINT: If you don't specify a WHERE clause, you are going to have a bad time.*/
--QUERY 11

DELETE FROM product_units
WHERE product_id = 6
AND snapshot_timestamp = '2026-11-06 18:42:18';

--Checking
SELECT
rowid,
product_id,
product_name,
snapshot_timestamp
FROM product_units
WHERE product_id = 6;

--Unforunately, re-running created multiple entries AND updated the timestamps, so I have to use rowid

DELETE FROM product_units
WHERE rowid = 4;

SELECT *
FROM product_units
WHERE product_id = 6;

--END QUERY

Expand All @@ -191,8 +360,42 @@ Finally, make sure you have a WHERE statement to update the right row,
When you have all of these components, you can run the update statement. */
--QUERY 12

ALTER TABLE product_units
ADD current_quantity INT;


--Finding last value by most recent market date
SELECT product_id,
MAX(market_date) AS last_market_date
FROM vendor_inventory
GROUP BY product_id;

--Retrieving values
SELECT
vi.product_id,
vi.market_date,
vi.quantity
FROM vendor_inventory AS vi
WHERE vi.market_date = (
SELECT MAX(vi2.market_date)
FROM vendor_inventory AS vi2
WHERE vi2.product_id = vi.product_id
);

UPDATE product_units
SET current_quantity = COALESCE((
SELECT vi.quantity
FROM vendor_inventory AS vi
WHERE vi.product_id = product_units.product_id
AND vi.market_date = (
SELECT MAX(vi2.market_date)
FROM vendor_inventory AS vi2
WHERE vi2.product_id = product_units.product_id
)
), 0);

--Verifying
SELECT *
FROM product_units;

--END QUERY

Expand Down
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