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Original file line number Diff line number Diff line change
Expand Up @@ -57,6 +57,9 @@ The store wants to keep customer addresses. Propose two architectures for the CU

```
Your answer...

One architecture would contain coulmns as customer_id, address, city, province, postal_code and country. if customer moves, we can simply update the address but will lost any previopus record (TYPE 1)
Second architecture would be to include above coulomns witha ddition 3 columns, start_date, end_date as well as current_status. when the address changes, a new address can be added and the end date will be the start date of the new address and if current_status is 1 it will mean that address is valid, if 0 it means that is the old record. (Type 2)
```

***
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147 changes: 114 additions & 33 deletions 02_activities/assignments/Microcredential_Cohort/assignment2.sql
Original file line number Diff line number Diff line change
Expand Up @@ -22,13 +22,12 @@ The `||` values concatenate the columns into strings.
Edit the appropriate columns -- you're making two edits -- and the NULL rows will be fixed.
All the other rows will remain the same. */
--QUERY 1



Select
COALESCE(product_name, '') || ', ' || COALESCE(product_size, '') || ' (' || COALESCE(product_qty_type, 'unit') || ')'
From product

--END QUERY


--Windowed Functions
/* 1. Write a query that selects from the customer_purchases table and numbers each customer’s
visits to the farmer’s market (labeling each market date with a different number).
Expand All @@ -41,8 +40,13 @@ 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,
row_number()OVER(
PARTITION BY customer_id
ORDER BY market_date ASC
) as 'customer_visit_number'
FROM customer_purchases
WHERE market_date < '2022-04-29'

--END QUERY

Expand All @@ -53,8 +57,16 @@ only the customer’s most recent visit.
HINT: Do not use the previous visit dates filter. */
--QUERY 3



SELECT *
FROM(
Select customer_id, market_date,
ROW_NUMBER() OVER
(PARTITION BY customer_id
ORDER BY market_date DESC
) AS "customer_visit_number"
From customer_purchases
) AS visits
Where "customer_visit_number" = 1

--END QUERY

Expand All @@ -66,8 +78,13 @@ You can make this a running count by including an ORDER BY within the PARTITION
Filter the visits to dates before April 29, 2022. */
--QUERY 4



Select customer_id, product_id, market_date,
COUNT(product_id) OVER
(PARTITION BY customer_id, product_id
ORDER BY market_date
) AS purchase_count
From customer_purchases
Where market_date < '2022-04-29'

--END QUERY

Expand All @@ -85,17 +102,22 @@ 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

--END QUERY


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



Select product_name, product_size
From product
Where product_size REGEXP '[0-9]'

--END QUERY

Expand All @@ -111,9 +133,42 @@ HINT: There are a possibly a few ways to do this query, but if you're struggling
with a UNION binding them. */
--QUERY 7




WITH daily_sales AS (
SELECT
market_date,
SUM(quantity * cost_per_quantity) AS total_sales
FROM customer_purchases
GROUP BY market_date
),

ranked_sales AS (
SELECT
market_date,
total_sales,
ROW_NUMBER() OVER (
ORDER BY total_sales DESC
) AS best_day,
ROW_NUMBER() OVER (
ORDER BY total_sales ASC
) AS worst_day
FROM daily_sales
)

SELECT
market_date,
total_sales,
'best day' AS day_type
FROM ranked_sales
WHERE best_day = 1

UNION

SELECT
market_date,
total_sales,
'worst day' AS day_type
FROM ranked_sales
WHERE worst_day = 1;
--END QUERY


Expand All @@ -132,9 +187,16 @@ How many customers are there (y).
Before your final group by you should have the product of those two queries (x*y). */
--QUERY 8




SELECT v.vendor_name, p.product_name,
SUM(vi.original_price * 5) AS total_sales
FROM vendor_inventory 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 (
SELECT COUNT(DISTINCT customer_id) AS customer_count FROM customer) AS c
GROUP BY v.vendor_name, p.product_name
--END QUERY


Expand All @@ -144,20 +206,20 @@ This table will contain only products where the `product_qty_type = 'unit'`.
It should use all of the columns from the product table, as well as a new column for the `CURRENT_TIMESTAMP`.
Name the timestamp column `snapshot_timestamp`. */
--QUERY 9



CREATE TABLE product_units AS
Select *,
CURRENT_TIMESTAMP AS snapshot_timestamp
FROM product
Where product_qty_type = 'unit'

--END QUERY


/*2. Using `INSERT`, add a new row to the product_units table (with an updated timestamp).
This can be any product you desire (e.g. add another record for Apple Pie). */
--QUERY 10




INSERT INTO product_units (product_id, product_name, product_size, product_category_id, product_qty_type, snapshot_timestamp)
VALUES (257, 'Apple Pie', '1 pie', '10', 'unit', CURRENT_TIMESTAMP);
--END QUERY


Expand All @@ -167,12 +229,11 @@ 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 = 7;

--END QUERY


-- UPDATE
/* 1.We want to add the current_quantity to the product_units table.
First, add a new column, current_quantity to the table using the following syntax.
Expand All @@ -190,9 +251,29 @@ Finally, make sure you have a WHERE statement to update the right row,
you'll need to use product_units.product_id to refer to the correct row within the product_units table.
When you have all of these components, you can run the update statement. */
--QUERY 12
ALTER TABLE product_units
ADD current_quantity INT;



UPDATE product_units
SET current_quantity = COALESCE(
(
SELECT quantity
FROM (
SELECT
product_id,
quantity,
market_date,
ROW_NUMBER() OVER (
PARTITION BY product_id
ORDER BY market_date DESC
) AS rn
FROM vendor_inventory
) AS latest
WHERE latest.product_id = product_units.product_id
AND latest.rn = 1
),
0
);

--END QUERY

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