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2 changes: 1 addition & 1 deletion 02_activities/assignments/Assignment2.md
Original file line number Diff line number Diff line change
Expand Up @@ -54,7 +54,7 @@ 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...
Your answer..Type 1 is only cares about the current data so it will overwrite.Type 2 will keep the history and retain changes
```

***
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65 changes: 55 additions & 10 deletions 02_activities/assignments/assignment1.sql
Original file line number Diff line number Diff line change
Expand Up @@ -5,20 +5,28 @@
--SELECT
/* 1. Write a query that returns everything in the customer table. */


select *
FROM customer ;

/* 2. Write a query that displays all of the columns and 10 rows from the cus- tomer table,
sorted by customer_last_name, then customer_first_ name. */

SELECT *
FROM customer
ORDER BY customer_last_name,customer_first_name
LIMIT 10;


--WHERE
/* 1. Write a query that returns all customer purchases of product IDs 4 and 9. */
-- option 1

SELECT *
FROM customer_purchases
WHERE product_id =4 OR product_id =9;

-- option 2

SELECT *
FROM customer_purchases
WHERE product_id IN (4,9);


/*2. Write a query that returns all customer purchases and a new calculated column 'price' (quantity * cost_to_customer_per_qty),
Expand All @@ -27,30 +35,52 @@ filtered by vendor IDs between 8 and 10 (inclusive) using either:
2. one condition using BETWEEN
*/
-- option 1


SELECT *
,quantity * cost_to_customer_per_qty as price
FROM customer_purchases
where vendor_id >=8 AND vendor_id <=10;
-- option 2

SELECT *
,quantity * cost_to_customer_per_qty as price
FROM customer_purchases
where vendor_id BETWEEN 8 AND 10;


--CASE
/* 1. Products can be sold by the individual unit or by bulk measures like lbs. or oz.
Using the product table, write a query that outputs the product_id and product_name
columns and add a column called prod_qty_type_condensed that displays the word “unit”
if the product_qty_type is “unit,” and otherwise displays the word “bulk.” */

SELECT product_id, product_name
,CASE WHEN product_qty_type = 'unit' THEN 'unit'
ELSE 'bulk' END AS product_qty_type_condensed
FROM product;


/* 2. We want to flag all of the different types of pepper products that are sold at the market.
add a column to the previous query called pepper_flag that outputs a 1 if the product_name
contains the word “pepper” (regardless of capitalization), and otherwise outputs 0. */

SELECT product_id, product_name

,CASE WHEN product_qty_type = 'unit' THEN 'unit'
ELSE 'bulk' END AS product_qty_type_condensed,

CASE WHEN product_name like '%pepper%' THEN 1
ELSE 0 END AS pepper_flag

FROM product;



--JOIN
/* 1. Write a query that INNER JOINs the vendor table to the vendor_booth_assignments table on the
vendor_id field they both have in common, and sorts the result by vendor_name, then market_date. */

SELECT *
FROM vendor as v
INNER JOIN vendor_booth_assignments as vba
ON v.vendor_id = vba.vendor_id
ORDER BY vendor_name, market_date;



Expand All @@ -60,6 +90,11 @@ vendor_id field they both have in common, and sorts the result by vendor_name, t
/* 1. Write a query that determines how many times each vendor has rented a booth
at the farmer’s market by counting the vendor booth assignments per vendor_id. */

SELECT vendor_id
,COUNT (booth_number)
FROM vendor_booth_assignments
GROUP BY booth_number;



/* 2. The Farmer’s Market Customer Appreciation Committee wants to give a bumper
Expand All @@ -68,7 +103,12 @@ of customers for them to give stickers to, sorted by last name, then first name.

HINT: This query requires you to join two tables, use an aggregate function, and use the HAVING keyword. */


SELECT c.customer_first_name, c.customer_last_name
,sum(cp.quantity*cp.cost_to_customer_per_qty) as spent
FROM customer as c
INNER JOIN customer_purchases as cp ON c.customer_id = cp.customer_id
GROUP BY c.customer_first_name, c.customer_last_name
HAVING spent > 2000;

--Temp Table
/* 1. Insert the original vendor table into a temp.new_vendor and then add a 10th vendor:
Expand All @@ -81,7 +121,12 @@ When inserting the new vendor, you need to appropriately align the columns to be
-> To insert the new row use VALUES, specifying the value you want for each column:
VALUES(col1,col2,col3,col4,col5)
*/
CREATE TABLE temp.new_vendor AS
SELECT *
FROM vendor;

INSERT INTO new_vendor
VALUES(10, 'Thomass Superfood Store', 'a Fresh Focused store', 'Thomas', 'Rosenthal');


-- Date
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71 changes: 65 additions & 6 deletions 02_activities/assignments/assignment2.sql
Original file line number Diff line number Diff line change
Expand Up @@ -21,6 +21,10 @@ Edit the appropriate columns -- you're making two edits -- and the NULL rows wil
All the other rows will remain the same.) */


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


--Windowed Functions
/* 1. Write a query that selects from the customer_purchases table and numbers each customer’s
Expand All @@ -32,17 +36,29 @@ 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
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. */


SELECT DISTINCT customer_id,market_date,recent_visit
FROM(
select customer_id,market_date
,dense_rank() over (PARTITION by customer_id order by market_date DESC) as recent_visit
from customer_purchases)
WHERE recent_visit =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 distinct customer_id,product_id,purchase_qty
FROM(
select customer_id,product_id
,count() over (PARTITION by customer_id,product_id order by product_id) as purchase_qty
from customer_purchases)



-- String manipulations
Expand All @@ -57,10 +73,16 @@ 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 product_size
From product
WHERE product_size REGEXP '?';


-- UNION
Expand All @@ -73,7 +95,21 @@ 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. */


SELECT market_date, total_sales
FROM (SELECT market_date,
SUM(quantity*cost_to_customer_per_qty) AS total_sales
FROM customer_purchases
GROUP BY market_date
ORDER BY total_sales DESC
LIMIT 1) AS best_day
UNION
SELECT market_date, total_sales
FROM (SELECT market_date,
SUM(quantity*cost_to_customer_per_qty) AS total_sales
FROM customer_purchases
GROUP BY market_date
ORDER BY total_sales ASC
LIMIT 1) AS best_day


/* SECTION 3 */
Expand All @@ -89,6 +125,13 @@ 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 Distinct v.vendor_name,p.product_name,( vi.original_price * c.ccount*5) AS total_sales
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 (
SELECT COUNT(*) AS ccount
FROM customer) c;


-- INSERT
Expand All @@ -97,18 +140,26 @@ 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`. */

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.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 (product_id,product_name,product_size,product_category_id,product_qty_type,snapshot_timestamp)
VALUES (24, 'Apple Pie', '6"',1,'unit',CURRENT_TIMESTAMP);


-- 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 = 24;


-- UPDATE
Expand All @@ -128,6 +179,14 @@ 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
SET current_quantity = COALESCE(
(SELECT vendor_inventory.quantity
FROM vendor_inventory
WHERE vendor_inventory.product_id = product_units.product_id
ORDER BY vendor_inventory.market_date DESC
LIMIT 1), 0)
WHERE product_units.product_id IS NOT NULL;
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