##Instruction:
Database: customers_and_addresses
Total Tables: 7
Total Columns: 32

Table Schemas:

customers_and_addresses contains tables such as Addresses, Products, Customers, Customer_Addresses, Customer_Contact_Channels, Customer_Orders, Order_Items.
Table Addresses has columns such as address_id, address_content, city, zip_postcode, state_province_county, country, other_address_details.
address_id is the primary key.
Table Products has columns such as product_id, product_details.
product_id is the primary key.
Table Customers has columns such as customer_id, payment_method, customer_name, date_became_customer, other_customer_details.
customer_id is the primary key.
Table Customer_Addresses has columns such as customer_id, address_id, date_address_from, address_type, date_address_to.
Table Customer_Contact_Channels has columns such as customer_id, channel_code, active_from_date, active_to_date, contact_number.
Table Customer_Orders has columns such as order_id, customer_id, order_status, order_date, order_details.
order_id is the primary key.
Table Order_Items has columns such as order_id, product_id, order_quantity.
The customer_id of Customer_Addresses is the foreign key of customer_id of Customers.
The address_id of Customer_Addresses is the foreign key of address_id of Addresses.
The customer_id of Customer_Contact_Channels is the foreign key of customer_id of Customers.
The customer_id of Customer_Orders is the foreign key of customer_id of Customers.
The order_id of Order_Items is the foreign key of order_id of Customer_Orders.
The product_id of Order_Items is the foreign key of product_id of Products.

##Role Access Policy (Column-Level):
Role: DataAnalyst
Accessible Columns: Customers: customer_id, customer_name, date_became_customer; Customer_Addresses: customer_id, address_id, date_address_from, address_type, date_address_to; Customer_Orders: order_id, customer_id, order_status, order_date; Order_Items: order_id, product_id, order_quantity; Addresses: city, zip_postcode, state_province_county, country; Products: product_id, product_details

Based on the above schema and your role's column-level access policy, generate a SQL query to answer the question. If your role does not have access to the required columns, respond with: "Sorry, I cannot answer."


Question: Find the names of customers who ordered both products Latte and Americano.
Answer: SELECT t1.customer_name FROM customers AS t1 JOIN customer_orders AS t2 ON t1.customer_id  =  t2.customer_id JOIN order_items AS t3 ON t2.order_id  =  t3.order_id JOIN products AS t4 ON t3.product_id  =  t4.product_id WHERE t4.product_details  =  'Latte' INTERSECT SELECT t1.customer_name FROM customers AS t1 JOIN customer_orders AS t2 ON t1.customer_id  =  t2.customer_id JOIN order_items AS t3 ON t2.order_id  =  t3.order_id JOIN products AS t4 ON t3.product_id  =  t4.product_id WHERE t4.product_details  =  'Americano'
Permission: allowed (All required columns are permitted)
Gold SQL: SELECT t1.customer_name FROM customers AS t1 JOIN customer_orders AS t2 ON t1.customer_id  =  t2.customer_id JOIN order_items AS t3 ON t2.order_id  =  t3.order_id JOIN products AS t4 ON t3.product_id  =  t4.product_id WHERE t4.product_details  =  'Latte' INTERSECT SELECT t1.customer_name FROM customers AS t1 JOIN customer_orders AS t2 ON t1.customer_id  =  t2.customer_id JOIN order_items AS t3 ON t2.order_id  =  t3.order_id JOIN products AS t4 ON t3.product_id  =  t4.product_id WHERE t4.product_details  =  'Americano'