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2 changes: 1 addition & 1 deletion 02_activities/assignments/Cohort_8/assignment1.sql
Original file line number Diff line number Diff line change
Expand Up @@ -175,7 +175,7 @@ SELECT *
FROM vendor

INSERT INTO temp.new_vendor (vendor_id, vendor_name, vendor_owner_first_name, vendor_owner_last_name, vendor_type)
VALUES ('10', 'Thomass Superfood Store','Fresh Focused','Thomas','Rosenthal'); --
VALUES ('10', 'Thomass Superfood Store','Fresh Focused','Thomas','Rosenthal'); --complete

-- Date
/*1. Get the customer_id, month, and year (in separate columns) of every purchase in the customer_purchases table.
Expand Down
145 changes: 136 additions & 9 deletions 02_activities/assignments/Cohort_8/assignment2.sql
Original file line number Diff line number Diff line change
Expand Up @@ -7,7 +7,7 @@ We tell them, no problem! We can produce a list with all of the appropriate deta

Using the following syntax you create our super cool and not at all needy manager a list:

SELECT
SELECT
product_name || ', ' || product_size|| ' (' || product_qty_type || ')'
FROM product

Expand All @@ -21,7 +21,12 @@ 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. */


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


--Windowed Functions
Expand All @@ -34,17 +39,51 @@ 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 ASC
) as customer_visit_order

FROM customer_purchases;

/* 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. */

DROP TABLE IF EXISTS customer_first_visit;

CREATE TEMP TABLE customer_first_visit AS
SELECT
customer_id,
market_date,

dense_rank() OVER(
PARTITION BY customer_id
ORDER BY market_date DESC
) as customer_visit_order

FROM customer_purchases;

SELECT*
FROM customer_first_visit
WHERE customer_visit_order=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 count_of_product_per_customer
FROM customer_purchases;


-- String manipulations
Expand All @@ -59,11 +98,27 @@ 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 NULL
ELSE TRIM(substr(
product_name,
instr(product_name,'-')+1 -- starts right after hyphen
))
END as description
FROM product;

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


SELECT
product_size
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 @@ -75,8 +130,39 @@ 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. */



DROP TABLE IF EXISTS sales_per_market_day;

CREATE TEMP TABLE sales_per_market_day as

SELECT
market_date
,SUM(quantity*cost_to_customer_per_qty) as total_sales
FROM customer_purchases
Group BY market_date;

WITH ranked as (
SELECT
market_date,
total_sales,
RANK() OVER (ORDER BY total_sales DESC) as rank_desc,
RANK() OVER (ORDER BY total_sales ASC) as rank_asc
FROM sales_per_market_day)

SELECT
market_date,
total_sales,
'highest' AS day_type
FROM ranked
WHERE rank_desc = 1

UNION

SELECT
market_date,
total_sales,
'lowest' AS day_type
FROM ranked
WHERE rank_asc = 1;

/* SECTION 3 */

Expand All @@ -91,27 +177,59 @@ 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). */



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


-- INSERT
/*1. Create a new table "product_units".
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`. */

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';

/*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). */


INSERT INTO [product_units]
VALUES (24, Yellow Potatoes, small, 1, lbs)

-- 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_id = (
SELECT max_product_id FROM (SELECT MAX(product_id) AS max_product_id
FROM product_units)
);

-- UPDATE
/* 1.We want to add the current_quantity to the product_units table.
Expand All @@ -131,5 +249,14 @@ 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. */


ALTER TABLE product_units
ADD current_quantity INT;


UPDATE product_units
SET current_quantity = (
SELECT COALESCE(quantity, 0)
FROM vendor_inventory vi
WHERE vi.product_id = product_units.product_id
ORDER BY market_date DESC
LIMIT 1
);
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