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114 changes: 87 additions & 27 deletions 02_activities/assignments/Microcredential_Cohort/assignment1.sql
Original file line number Diff line number Diff line change
Expand Up @@ -6,8 +6,8 @@
--SELECT
/* 1. Write a query that returns everything in the customer table. */
--QUERY 1


SELECT *
FROM customer;


--END QUERY
Expand All @@ -16,9 +16,10 @@
/* 2. Write a query that displays all of the columns and 10 rows from the customer table,
sorted by customer_last_name, then customer_first_ name. */
--QUERY 2



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

--END QUERY

Expand All @@ -28,8 +29,13 @@ sorted by customer_last_name, then customer_first_ name. */
Limit to 25 rows of output. */
--QUERY 3



SELECT cp.*,p.product_name
FROM customer_purchases As cp
JOIN Product as p
ON cp.product_id = p.product_id
WHERE cp.product_id IN (4,9)
ORDER By cp.product_id DESC
LIMIT 25;

--END QUERY

Expand All @@ -42,9 +48,15 @@ filtered by customer IDs between 8 and 10 (inclusive) using either:
Limit to 25 rows of output.
*/
--QUERY 4



SELECT cp.*,
p.product_name,
(quantity * cost_to_customer_per_qty) AS price
FROM customer_purchases AS cp
JOIN Product as p
ON cp.product_id = p.product_id
WHERE cp.product_id BETWEEN 8 AND 10
ORDER By cp.product_id DESC
LIMIT 25;

--END QUERY

Expand All @@ -56,19 +68,30 @@ columns and add a column called prod_qty_type_condensed that displays the word
if the product_qty_type is “unit,” and otherwise displays the word “bulk.” */
--QUERY 5




SELECT product_id, product_name,
CASE
WHEN product_qty_type = "UNIT" THEN "UNIT"
ELSE "bulk"
END AS prod_qty_type
FROM product;

--END QUERY


/* 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. */
--QUERY 6



SELECT product_id, product_name,
CASE
WHEN product_qty_type = "UNIT" THEN "UNIT"
ELSE "bulk"
END AS prod_qty_type,
CASE
WHEN product_name like '%pepper%' THEN 1
ELSE 0
END AS pepper_flag
FROM product;

--END QUERY

Expand All @@ -79,8 +102,12 @@ vendor_id field they both have in common, and sorts the result by market_date, t
Limit to 24 rows of output. */
--QUERY 7



SELECT v.*, vba.*
FROM vendor AS v
INNER JOIN vendor_booth_assignments AS vba
ON v.vendor_id = vba.vendor_id
ORDER BY vba.market_date ASC , v.vendor_name ASC
Limit 24;

--END QUERY

Expand All @@ -93,8 +120,15 @@ Limit to 24 rows of output. */
at the farmer’s market by counting the vendor booth assignments per vendor_id. */
--QUERY 8



SELECT
v.vendor_id,
v.vendor_name,
COUNT(vba.vendor_id) AS count_vendor_booth_assignments
FROM vendor AS v
INNER JOIN vendor_booth_assignments AS vba
ON v.vendor_id = vba.vendor_id
GROUP BY v.vendor_id, v.vendor_name
ORDER BY v.vendor_name ASC;

--END QUERY

Expand All @@ -106,8 +140,14 @@ 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. */
--QUERY 9

SELECT c.customer_id, c.customer_first_name,c.customer_last_name, sum(cp.quantity * cp.cost_to_customer_per_qty) As total_customer_purchases


FROM customer AS c
INNER JOIN customer_purchases AS cp
ON c.customer_id = cp.customer_id
GROUP BY c.customer_id,c.customer_last_name, c.customer_first_name
HAVING total_customer_purchases > 2000
ORDER BY c.customer_last_name, c.customer_first_name;

--END QUERY

Expand All @@ -125,11 +165,19 @@ VALUES(col1,col2,col3,col4,col5)
*/
--QUERY 10

-- creating temp table
CREATE TABLE TEMP.new_vendor AS
SELECT * FROM vendor;

-- inserting row

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

--END QUERY
-- Checking temp table
SELECT * FROM temp.new_vendor;

--END QUERY

-- Date
/*1. Get the customer_id, month, and year (in separate columns) of every purchase in the customer_purchases table.
Expand All @@ -139,8 +187,11 @@ and year are!
Limit to 25 rows of output. */
--QUERY 11



SELECT cp.customer_id, cp.product_id, p.product_name, strftime('%m', cp.market_date) AS purchase_month, strftime('%Y', cp.market_date) AS purchase_year
From customer_purchases as cp
INNER JOIN product as p
ON cp.product_id = p.product_id
LIMIT 25;

--END QUERY

Expand All @@ -152,8 +203,17 @@ HINTS: you will need to AGGREGATE, GROUP BY, and filter...
but remember, STRFTIME returns a STRING for your WHERE statement...
AND be sure you remove the LIMIT from the previous query before aggregating!! */
--QUERY 12



SELECT cp.customer_id, c.customer_first_name, c.customer_last_name, p.product_name,
strftime('%m', cp.market_date) AS purchase_month,
strftime('%Y', cp.market_date) AS purchase_year,
sum(cp.quantity * cp.cost_to_customer_per_qty) AS total_purchases
From customer_purchases as cp
INNER JOIN customer AS c
ON c.customer_id = cp.customer_id
INNER JOIN product as p
ON cp.customer_id = c.customer_id
WHERE purchase_month='04' AND purchase_year='2022'
Group by cp.customer_id, c.customer_first_name,c.customer_last_name, p.product_name
ORDER by cp.customer_id;

--END QUERY
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