Database: customer_complaints
Schema: Staff: staff_id (number), gender (text), first_name (text), last_name (text), email_address (text), phone_number (text) | Customers: customer_id (number), customer_type_code (text), address_line_1 (text), address_line_2 (text), town_city (text), state (text), email_address (text), phone_number (text) | Products: product_id (number), parent_product_id (number), product_category_code (text), date_product_first_available (time), date_product_discontinued (time), product_name (text), product_description (text), product_price (number) | Complaints: complaint_id (number), product_id (number), customer_id (number), complaint_outcome_code (text), complaint_status_code (text), complaint_type_code (text), date_complaint_raised (time), date_complaint_closed (time), staff_id (number)

Question: How many customers are there?
SQL: SELECT count(*) FROM customers

Question: Count the number of customers.
SQL: SELECT count(*) FROM customers

Question: Find the emails and phone numbers of all the customers, ordered by email address and phone number.
SQL: SELECT email_address ,  phone_number FROM customers ORDER BY email_address ,  phone_number

Question: What are the emails and phone numbers of all customers, sorted by email address and phone number?
SQL: SELECT email_address ,  phone_number FROM customers ORDER BY email_address ,  phone_number

Question: Which city has the least number of customers whose type code is "Good Credit Rating"?
SQL: SELECT town_city FROM customers WHERE customer_type_code  =  "Good Credit Rating" GROUP BY town_city ORDER BY count(*) LIMIT 1

Question: Return the city with the customer type code "Good Credit Rating" that had the fewest customers.
SQL: SELECT town_city FROM customers WHERE customer_type_code  =  "Good Credit Rating" GROUP BY town_city ORDER BY count(*) LIMIT 1

Question: List the name of all products along with the number of complaints that they have received.
SQL: SELECT t1.product_name ,  count(*) FROM products AS t1 JOIN complaints AS t2 ON t1.product_id  =  t2.product_id GROUP BY t1.product_name

Question: What are all the different product names, and how many complains has each received?
SQL: SELECT t1.product_name ,  count(*) FROM products AS t1 JOIN complaints AS t2 ON t1.product_id  =  t2.product_id GROUP BY t1.product_name

Question: Find the emails of customers who has filed a complaints of the product with the most complaints.
SQL: SELECT t1.email_address FROM customers AS t1 JOIN complaints AS t2 ON t1.customer_id  =  t2.customer_id GROUP BY t1.customer_id ORDER BY count(*) LIMIT 1

Question: What are the emails of customers who have filed complaints on the product which has had the greatest number of complaints?
SQL: SELECT t1.email_address FROM customers AS t1 JOIN complaints AS t2 ON t1.customer_id  =  t2.customer_id GROUP BY t1.customer_id ORDER BY count(*) LIMIT 1

Question: Which products has been complained by the customer who has filed least amount of complaints?
SQL: SELECT DISTINCT t1.product_name FROM products AS t1 JOIN complaints AS t2 ON t1.product_id  =  t2.product_id JOIN customers AS t3 GROUP BY t3.customer_id ORDER BY count(*) LIMIT 1

Question: Return the names of products that have had complaints filed by the customer who has filed the fewest complaints.
SQL: SELECT DISTINCT t1.product_name FROM products AS t1 JOIN complaints AS t2 ON t1.product_id  =  t2.product_id JOIN customers AS t3 GROUP BY t3.customer_id ORDER BY count(*) LIMIT 1

Question: What is the phone number of the customer who has filed the most recent complaint?
SQL: SELECT t1.phone_number FROM customers AS t1 JOIN complaints AS t2 ON t1.customer_id  =  t2.customer_id ORDER BY t2.date_complaint_raised DESC LIMIT 1

Question: Return the phone number of the customer who filed the complaint that was raised most recently.
SQL: SELECT t1.phone_number FROM customers AS t1 JOIN complaints AS t2 ON t1.customer_id  =  t2.customer_id ORDER BY t2.date_complaint_raised DESC LIMIT 1

Question: Find the email and phone number of the customers who have never filed a complaint before.
SQL: SELECT email_address ,  phone_number FROM customers WHERE customer_id NOT IN (SELECT customer_id FROM complaints)

Question: What are the emails and phone numbers of custoemrs who have never filed a complaint?
SQL: SELECT email_address ,  phone_number FROM customers WHERE customer_id NOT IN (SELECT customer_id FROM complaints)

Question: Find the phone number of all the customers and staff.
SQL: SELECT phone_number FROM customers UNION SELECT phone_number FROM staff

Question: What are the phone numbers of all customers and all staff members?
SQL: SELECT phone_number FROM customers UNION SELECT phone_number FROM staff

Question: What is the description of the product named "Chocolate"?
SQL: SELECT product_description FROM products WHERE product_name  =  "Chocolate"

Question: Return the description of the product called "Chocolate".
SQL: SELECT product_description FROM products WHERE product_name  =  "Chocolate"

Question: Find the name and category of the most expensive product.
SQL: SELECT product_name ,  product_category_code FROM products ORDER BY product_price DESC LIMIT 1

Question: What is the name and category code of the product with the highest price?
SQL: SELECT product_name ,  product_category_code FROM products ORDER BY product_price DESC LIMIT 1

Question: Find the prices of products which has never received a single complaint.
SQL: SELECT product_price FROM products WHERE product_id NOT IN (SELECT product_id FROM complaints)

Question: What are the prices of products that have never gotten a complaint?
SQL: SELECT product_price FROM products WHERE product_id NOT IN (SELECT product_id FROM complaints)

Question: What is the average price of the products for each category?
SQL: SELECT avg(product_price) ,  product_category_code FROM products GROUP BY product_category_code

Question: Return the average price of products that have each category code.
SQL: SELECT avg(product_price) ,  product_category_code FROM products GROUP BY product_category_code

Question: Find the last name of the staff member who processed the complaint of the cheapest product.
SQL: SELECT t1.last_name FROM staff AS t1 JOIN complaints AS t2 ON t1.staff_id  =  t2.staff_id JOIN products AS t3 ON t2.product_id  =  t3.product_id ORDER BY t3.product_price LIMIT 1

Question: What is the last name of the staff member in charge of the complaint on the product with the lowest price?
SQL: SELECT t1.last_name FROM staff AS t1 JOIN complaints AS t2 ON t1.staff_id  =  t2.staff_id JOIN products AS t3 ON t2.product_id  =  t3.product_id ORDER BY t3.product_price LIMIT 1

Question: Which complaint status has more than 3 records on file?
SQL: SELECT complaint_status_code FROM complaints GROUP BY complaint_status_code HAVING count(*)  >  3

Question: Return complaint status codes have more than 3 corresponding complaints?
SQL: SELECT complaint_status_code FROM complaints GROUP BY complaint_status_code HAVING count(*)  >  3

Question: Find the last name of the staff whose email address contains "wrau".
SQL: SELECT last_name FROM staff WHERE email_address LIKE "%wrau%"

Question: What are the last names of staff with email addressed containing the substring "wrau"?
SQL: SELECT last_name FROM staff WHERE email_address LIKE "%wrau%"

Question: How many customers are there in the customer type with the most customers?
SQL: SELECT count(*) FROM customers GROUP BY customer_type_code ORDER BY count(*) DESC LIMIT 1

Question: Count the number of customers that have the customer type that is most common.
SQL: SELECT count(*) FROM customers GROUP BY customer_type_code ORDER BY count(*) DESC LIMIT 1

Question: What is the last name of the staff who has handled the first ever complaint?
SQL: SELECT t1.last_name FROM staff AS t1 JOIN complaints AS t2 ON t1.staff_id  =  t2.staff_id ORDER BY t2.date_complaint_raised LIMIT 1

Question: Return the last name of the staff member who handled the complaint with the earliest date raised.
SQL: SELECT t1.last_name FROM staff AS t1 JOIN complaints AS t2 ON t1.staff_id  =  t2.staff_id ORDER BY t2.date_complaint_raised LIMIT 1

Question: How many distinct complaint type codes are there in the database?
SQL: SELECT count(DISTINCT complaint_type_code) FROM complaints

Question: Count the number of different complaint type codes.
SQL: SELECT count(DISTINCT complaint_type_code) FROM complaints

Question: Find the address line 1 and 2 of the customer with email "vbogisich@example.org".
SQL: SELECT address_line_1 ,  address_line_2 FROM customers WHERE email_address  =  "vbogisich@example.org"

Question: What are lines 1 and 2 of the addressed of the customer with the email "vbogisich@example.org"?
SQL: SELECT address_line_1 ,  address_line_2 FROM customers WHERE email_address  =  "vbogisich@example.org"

Question: Find the number of complaints with Product Failure type for each complaint status.
SQL: SELECT complaint_status_code ,  count(*) FROM complaints WHERE complaint_type_code  =  "Product Failure" GROUP BY complaint_status_code

Question: Of complaints with the type code "Product Failure", how many had each different status code?
SQL: SELECT complaint_status_code ,  count(*) FROM complaints WHERE complaint_type_code  =  "Product Failure" GROUP BY complaint_status_code

Question: What is first names of the top 5 staff who have handled the greatest number of complaints?
SQL: SELECT t1.first_name FROM staff AS t1 JOIN complaints AS t2 ON t1.staff_id  =  t2.staff_id GROUP BY t2.staff_id ORDER BY count(*) LIMIT 5

Question: Return the first names of the 5 staff members who have handled the most complaints.
SQL: SELECT t1.first_name FROM staff AS t1 JOIN complaints AS t2 ON t1.staff_id  =  t2.staff_id GROUP BY t2.staff_id ORDER BY count(*) LIMIT 5

Question: Which state has the most customers?
SQL: SELECT state FROM customers GROUP BY state ORDER BY count(*) LIMIT 1

Question: Give the state that has the most customers.
SQL: SELECT state FROM customers GROUP BY state ORDER BY count(*) LIMIT 1