Completed assignment one - includes a pdf of the ERDs

02_activities/assignments/assignment1.sql

@@ -5,21 +5,25 @@
 --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), 
 filtered by vendor IDs between 8 and 10 (inclusive) using either:
@@ -28,30 +32,50 @@ filtered by vendor IDs between 8 and 10 (inclusive) using either:
 */
 -- 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 prod_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 prod_qty_type_condensed,
+	case 
+		when lower(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 v
+inner join vendor_booth_assignments vba on v.vendor_id = vba.vendor_id
+order by v.vendor_name, vba.market_date;
 
 
 /* SECTION 3 */
@@ -60,6 +84,9 @@ 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(*) as booth_rental_count
+from vendor_booth_assignments
+group by vendor_id;
 
 
 /* 2. The Farmer’s Market Customer Appreciation Committee wants to give a bumper 
@@ -68,6 +95,14 @@ 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. */
 
+select c.customer_id, c.customer_first_name, c.customer_last_name, 
+sum(cp.quantity * cp.cost_to_customer_per_qty) as total_spent
+from customer c
+join customer_purchases cp
+    on c.customer_id = cp.customer_id
+group by c.customer_id, c.customer_first_name, c.customer_last_name
+having sum(cp.quantity * cp.cost_to_customer_per_qty) > 2000
+order by c.customer_last_name, c.customer_first_name;
 
 
 --Temp Table
@@ -82,6 +117,12 @@ 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 temp.new_vendor (vendor_id, vendor_name, vendor_type, vendor_owner_first_name, vendor_owner_last_name)
+values (10, 'Thomass Superfood Store', 'Fresh Focused store', 'Thomas', 'Rosenthal');
+
 
 
 -- Date
@@ -90,11 +131,19 @@ VALUES(col1,col2,col3,col4,col5)
 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', market_date) as month,
+       strftime('%Y', market_date) as year
+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_id, sum(quantity * cost_to_customer_per_qty) as total_spent
+from customer_purchases
+where strftime('%Y', market_date) = '2022'
+  and strftime('%m', market_date) = '04'
+group by customer_id;