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83 changes: 60 additions & 23 deletions 03_homework/homework_2.md
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# Homework 2: Basic SQL

- Due on Friday, May 17 at 11:59pm
- Weight: 8% of total grade
- Upload one .sql file with your queries

# SELECT
1. Write a query that returns everything in the customer table.
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.

# WHERE
1. Write a query that returns all customer purchases of product IDs 4 and 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:
1. two conditions using AND
2. one condition using BETWEEN

# 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.”

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.

# JOIN
1. Write a query that `INNER JOIN`s 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`.
# Homework 2: Basic SQL

- Due on Friday, May 17 at 11:59pm
- Weight: 8% of total grade
- Upload one .sql file with your queries

# 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 customer 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 pruduct_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:
1. two conditions using AND

SELECT *, (quantity * cost_to_customer_per_qty) AS price
FROM customer_purchases
WHERE vendor_id >= 8 AND vendor_id <= 10;

2. one condition using BETWEEN

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 JOIN`s 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;