Skip to content
Open
Show file tree
Hide file tree
Changes from all commits
Commits
File filter

Filter by extension

Filter by extension

Conversations
Failed to load comments.
Loading
Jump to
Jump to file
Failed to load files.
Loading
Diff view
Diff view
47 changes: 37 additions & 10 deletions 02_activities/assignments/assignment1.sql
Original file line number Diff line number Diff line change
Expand Up @@ -5,53 +5,62 @@
--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 in (4,9) order by product_id;

-- option 2

-- option 2

Select * from customer_purchases where product_id=4 or product_id=9 order by product_id;

/*2. Write a query that returns all customer purchases and a new calculated column 'price' (quantity * cost_to_customer_per_qty),
filtered by vendor IDs between 8 and 10 (inclusive) using either:
1. two conditions using AND
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 order by vender id;


-- option 2

-- option 2
select *,(quantity* cost_to_customer_per_qty) as price from customer_purchases where vendor_id between 8 and 10 order by vendor_id ;


--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 product_qty_type when 'unit' Then 'unit' else 'bulk' end prod_qty_type_condensed
from product order by product_name;


/* 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 product_qty_type when 'unit' Then 'unit' else 'bulk' end prod_qty_type_condensed,
case when UPPER(product_name) like '%PEPPER%' then 1 else 0 end pepper_flag
from product order by product_name;


--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 vendor.vendor_name,vendor.vendor_owner_first_name,vendor.vendor_owner_last_name,vendor.vendor_type,vendor_booth_assignments.market_date from vendor inner join vendor_booth_assignments on vendor.vendor_id=vendor_booth_assignments.vendor_id order by vendor_name,market_date


/* SECTION 3 */
Expand All @@ -60,15 +69,22 @@ 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(vendor_id) from vendor_booth_assignments group by vendor_id;

/* 2. The Farmer’s Market Customer Appreciation Committee wants to give a bumper
sticker to everyone who has ever spent more than $2000 at the market. Write a query that generates a list
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
customer.customer_first_name,customer.customer_last_name,sum(cost_to_customer_per_qty*quantity)
FROM
customer
INNER JOIN customer_purchases ON customer.customer_id = customer_purchases.customer_id
GROUP BY
customer.customer_id
HAVING sum(cost_to_customer_per_qty*quantity) >2000;

--Temp Table
/* 1. Insert the original vendor table into a temp.new_vendor and then add a 10th vendor:
Expand All @@ -82,19 +98,30 @@ When inserting the new vendor, you need to appropriately align the columns to be
VALUES(col1,col2,col3,col4,col5)
*/

create table temp.new_vendor as select * from vendor
insert into new_vendor (vendor_id,vendor_name,vendor_type,vendor_owner_first_name,vendor_owner_last_name) values (10,"Thomass Superfood Store", "a Fresh Focused store", "Thomas","Rosenthal")


-- Date
/*1. Get the customer_id, month, and year (in separate columns) of every purchase in the customer_purchases table.

HINT: you might need to search for strfrtime modifers sqlite on the web to know what the modifers for month
and year are! */

Select customer_id,strftime('%m',customer_purchases.market_date),strftime('%Y' ,customer_purchases.market_date) from customer_purchases


/* 2. Using the previous query as a base, determine how much money each customer spent in April 2022.
Remember that money spent is quantity*cost_to_customer_per_qty.

HINTS: you will need to AGGREGATE, GROUP BY, and filter...

but remember, STRFTIME returns a STRING for your WHERE statement!! */


SELECT
customer.customer_first_name,customer.customer_last_name,sum(cost_to_customer_per_qty*quantity)
FROM
customer
INNER JOIN customer_purchases ON customer.customer_id = customer_purchases.customer_id and strftime('%Y',customer_purchases.market_date)='2022' and strftime('%m',customer_purchases.market_date)='04'
GROUP BY
customer.customer_id
Loading
Sorry, something went wrong. Reload?
Sorry, we cannot display this file.
Sorry, this file is invalid so it cannot be displayed.