diff --git a/02_activities/assignments/Cohort_8/SQL_Assignment1_Section1_LogicalDataModel.png b/02_activities/assignments/Cohort_8/SQL_Assignment1_Section1_LogicalDataModel.png new file mode 100644 index 000000000..148f0566d Binary files /dev/null and b/02_activities/assignments/Cohort_8/SQL_Assignment1_Section1_LogicalDataModel.png differ diff --git a/02_activities/assignments/Cohort_8/assignment1.sql b/02_activities/assignments/Cohort_8/assignment1.sql index c992e3205..a6bb084ea 100644 --- a/02_activities/assignments/Cohort_8/assignment1.sql +++ b/02_activities/assignments/Cohort_8/assignment1.sql @@ -4,17 +4,20 @@ --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. */ - +SELECT * from customer_purchases +WHERE product_id = 4 or product_id = 9; /*2. Write a query that returns all customer purchases and a new calculated column 'price' (quantity * cost_to_customer_per_qty), @@ -23,10 +26,14 @@ filtered by customer 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 customer_id >=8 and customer_id <=10; -- option 2 - +SELECT *, (quantity * cost_to_customer_per_qty) as price +from customer_purchases +WHERE customer_id BETWEEN 8 and 10; --CASE @@ -34,19 +41,35 @@ filtered by customer IDs between 8 and 10 (inclusive) using either: 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 +inner join vendor_booth_assignments on vendor.vendor_id = vendor_booth_assignments.vendor_id +order by vendor_name, market_date; @@ -55,7 +78,9 @@ vendor_id field they both have in common, and sorts the result by vendor_name, t -- AGGREGATE /* 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_rentals_count +FROM vendor_booth_assignments +group by vendor_id; /* 2. The Farmer’s Market Customer Appreciation Committee wants to give a bumper @@ -64,7 +89,13 @@ 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 as c +inner join customer_purchases as cp on c.customer_id = cp.customer_id +group by c.customer_id +HAVING total_spent > 2000 +order by c.customer_last_name, c.customer_first_name; --Temp Table /* 1. Insert the original vendor table into a temp.new_vendor and then add a 10th vendor: @@ -77,6 +108,13 @@ 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) */ +DROP TABLE IF EXISTS temp.new_vendor; +--Create the temp TABLE +CREATE TABLE temp.new_vendor as +SELECT * from vendor; +--Insert the new 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', 'Thomas', 'Rosenthal'); @@ -85,7 +123,10 @@ 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. @@ -93,4 +134,9 @@ 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('%m', market_date) = '04' AND + strftime('%Y', market_date) = '2022' +group by customer_id +HAVING total_spent > 0;