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149 changes: 142 additions & 7 deletions 02_activities/assignments/assignment2.sql
Original file line number Diff line number Diff line change
Expand Up @@ -20,7 +20,11 @@ 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.) */


SELECT
COALESCE(product_name, '') || ', ' ||
COALESCE(product_size, '') || ' (' ||
COALESCE(product_qty_type, 'unit') || ')' AS product_description
FROM product;

--Windowed Functions
/* 1. Write a query that selects from the customer_purchases table and numbers each customer’s
Expand All @@ -32,18 +36,47 @@ each new market date for each customer, or select only the unique market dates p
(without purchase details) and number those visits.
HINT: One of these approaches uses ROW_NUMBER() and one uses DENSE_RANK(). */


SELECT
customer_id,
market_date,
DENSE_RANK() OVER (
PARTITION BY customer_id
ORDER BY market_date
) AS visit_number
FROM (
SELECT DISTINCT customer_id, market_date
FROM customer_purchases
) AS visits

/* 2. Reverse the numbering of the query from a part so each customer’s most recent visit is labeled 1,
then write another query that uses this one as a subquery (or temp table) and filters the results to
only the customer’s most recent visit. */


SELECT *
FROM (
SELECT
customer_id,
market_date,
DENSE_RANK() OVER (
PARTITION BY customer_id
ORDER BY market_date DESC
) AS visit_number
FROM (
SELECT DISTINCT customer_id, market_date
FROM customer_purchases
) AS visits
) AS ranked_visits
WHERE visit_number = 1

/* 3. Using a COUNT() window function, include a value along with each row of the
customer_purchases table that indicates how many different times that customer has purchased that product_id. */


SELECT
customer_id,
product_id,
count(*) OVER(PARTITION BY customer_id, product_id
) AS customer_product_count
FROM customer_purchases

-- String manipulations
/* 1. Some product names in the product table have descriptions like "Jar" or "Organic".
Expand All @@ -57,11 +90,21 @@ 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. */


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

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


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

-- UNION
/* 1. Using a UNION, write a query that displays the market dates with the highest and lowest total sales.
Expand All @@ -73,7 +116,36 @@ HINT: There are a possibly a few ways to do this query, but if you're struggling
3) Query the second temp table twice, once for the best day, once for the worst day,
with a UNION binding them. */

WITH daily_sales AS (
SELECT
market_date,
SUM(quantity * cost_to_customer_per_qty) AS total_sales
FROM customer_purchases
GROUP BY market_date
),
ranked_sales AS (
SELECT
market_date,
total_sales,
RANK() OVER (ORDER BY total_sales DESC) AS best_day_rank,
RANK() OVER (ORDER BY total_sales ASC) AS worst_day_rank
FROM daily_sales
)
SELECT
market_date,
total_sales,
'Best Day' AS label
FROM ranked_sales
WHERE best_day_rank = 1

UNION

SELECT
market_date,
total_sales,
'Worst Day' AS label
FROM ranked_sales
WHERE worst_day_rank = 1;


/* SECTION 3 */
Expand All @@ -89,6 +161,35 @@ Think a bit about the row counts: how many distinct vendors, product names are t
How many customers are there (y).
Before your final group by you should have the product of those two queries (x*y). */

WITH vendor_products AS (
SELECT DISTINCT
v.vendor_id,
v.product_id,
v.original_price,
vendor_name,
product_name
FROM vendor_inventory v
JOIN vendor USING (vendor_id)
JOIN product USING (product_id)
),
customers AS (
SELECT customer_id FROM customer
),
sales_5 AS (
SELECT
vp.vendor_name,
vp.product_name,
5 * vp.original_price AS revenue_per_customer
FROM vendor_products vp
CROSS JOIN customers
)
SELECT
vendor_name,
product_name,
SUM(revenue_per_customer) AS total_revenue
FROM sales_5
GROUP BY vendor_name, product_name
ORDER BY vendor_name, product_name


-- INSERT
Expand All @@ -102,14 +203,33 @@ Name the timestamp column `snapshot_timestamp`. */
/*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). */

CREATE TABLE product_units AS
SELECT
*,
CURRENT_TIMESTAMP AS snapshot_timestamp
FROM product
WHERE product_qty_type = 'unit';

SELECT*
FROM product_units;

INSERT INTO product_units (product_id, product_name, product_size, product_category_id, product_qty_type, snapshot_timestamp)
VALUES (24, 'Coffee', '500g', 3, 'unit', CURRENT_TIMESTAMP);

SELECT*
FROM product_units;

-- DELETE
/* 1. Delete the older record for the whatever product you added.

HINT: If you don't specify a WHERE clause, you are going to have a bad time.*/


DELETE FROM product_units
WHERE product_name = 'Coffee'
AND snapshot_timestamp = (
SELECT MIN(snapshot_timestamp)
FROM product_units
WHERE product_name = 'Coffee')

-- UPDATE
/* 1.We want to add the current_quantity to the product_units table.
Expand All @@ -127,7 +247,22 @@ Third, SET current_quantity = (...your select statement...), remembering that WH
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. */
ALTER TABLE product_units
ADD current_quantity INT;

UPDATE product_units pu
SET current_quantity = (
SELECT
COALESCE(vi.quantity, 0)
FROM vendor_inventory vi
WHERE vi.product_id = pu.product_id
AND vi.market_date = (
SELECT MAX(market_date)
FROM vendor_inventory
WHERE product_id = pu.product_id)
LIMIT 1)


--Natalia Rodriguez