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Hawk28
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spider-sql-prompts

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train · 8.66k rows

db_name stringclasses 146 values	prompt stringlengths 310 4.81k
customers_and_invoices	### Complete SQL query only and with no explanation ### SQL tables followed by foreign key information: # # Customers ( customer_id, customer_first_name, customer_middle_initial, customer_last_name, gender, email_address, login_name, login_password, phone_number, town_city, state_county_province, country ) # Orders ( order_id, customer_id, date_order_placed, order_details ) # Invoices ( invoice_number, order_id, invoice_date ) # Accounts ( account_id, customer_id, date_account_opened, account_name, other_account_details ) # Product_Categories ( production_type_code, product_type_description, vat_rating ) # Products ( product_id, parent_product_id, production_type_code, unit_price, product_name, product_color, product_size ) # Financial_Transactions ( transaction_id, account_id, invoice_number, transaction_type, transaction_date, transaction_amount, transaction_comment, other_transaction_details ) # Order_Items ( order_item_id, order_id, product_id, product_quantity, other_order_item_details ) # Invoice_Line_Items ( order_item_id, invoice_number, product_id, product_title, product_quantity, product_price, derived_product_cost, derived_vat_payable, derived_total_cost ) # # Orders.customer_id can be joined with Customers.customer_id # Invoices.order_id can be joined with Orders.order_id # Accounts.customer_id can be joined with Customers.customer_id # Products.production_type_code can be joined with Product_Categories.production_type_code # Financial_Transactions.account_id can be joined with Accounts.account_id # Financial_Transactions.invoice_number can be joined with Invoices.invoice_number # Order_Items.order_id can be joined with Orders.order_id # Order_Items.product_id can be joined with Products.product_id # Invoice_Line_Items.product_id can be joined with Products.product_id # Invoice_Line_Items.invoice_number can be joined with Invoices.invoice_number # Invoice_Line_Items.order_item_id can be joined with Order_Items.order_item_id # ### Question: # # How many transactions correspond to each invoice number? # ### SQL: # # SELECT invoice_number , count(*) FROM Financial_transactions GROUP BY invoice_number # ### End.
customers_and_invoices	### Complete SQL query only and with no explanation ### SQL tables followed by foreign key information: # # Customers ( customer_id, customer_first_name, customer_middle_initial, customer_last_name, gender, email_address, login_name, login_password, phone_number, town_city, state_county_province, country ) # Orders ( order_id, customer_id, date_order_placed, order_details ) # Invoices ( invoice_number, order_id, invoice_date ) # Accounts ( account_id, customer_id, date_account_opened, account_name, other_account_details ) # Product_Categories ( production_type_code, product_type_description, vat_rating ) # Products ( product_id, parent_product_id, production_type_code, unit_price, product_name, product_color, product_size ) # Financial_Transactions ( transaction_id, account_id, invoice_number, transaction_type, transaction_date, transaction_amount, transaction_comment, other_transaction_details ) # Order_Items ( order_item_id, order_id, product_id, product_quantity, other_order_item_details ) # Invoice_Line_Items ( order_item_id, invoice_number, product_id, product_title, product_quantity, product_price, derived_product_cost, derived_vat_payable, derived_total_cost ) # # Orders.customer_id can be joined with Customers.customer_id # Invoices.order_id can be joined with Orders.order_id # Accounts.customer_id can be joined with Customers.customer_id # Products.production_type_code can be joined with Product_Categories.production_type_code # Financial_Transactions.account_id can be joined with Accounts.account_id # Financial_Transactions.invoice_number can be joined with Invoices.invoice_number # Order_Items.order_id can be joined with Orders.order_id # Order_Items.product_id can be joined with Products.product_id # Invoice_Line_Items.product_id can be joined with Products.product_id # Invoice_Line_Items.invoice_number can be joined with Invoices.invoice_number # Invoice_Line_Items.order_item_id can be joined with Order_Items.order_item_id # ### Question: # # What is the invoice number and invoice date for the invoice with most number of transactions? # ### SQL: # # SELECT T2.invoice_number , T2.invoice_date FROM Financial_transactions AS T1 JOIN Invoices AS T2 ON T1.invoice_number = T2.invoice_number GROUP BY T1.invoice_number ORDER BY count(*) DESC LIMIT 1 # ### End.
customers_and_invoices	### Complete SQL query only and with no explanation ### SQL tables followed by foreign key information: # # Customers ( customer_id, customer_first_name, customer_middle_initial, customer_last_name, gender, email_address, login_name, login_password, phone_number, town_city, state_county_province, country ) # Orders ( order_id, customer_id, date_order_placed, order_details ) # Invoices ( invoice_number, order_id, invoice_date ) # Accounts ( account_id, customer_id, date_account_opened, account_name, other_account_details ) # Product_Categories ( production_type_code, product_type_description, vat_rating ) # Products ( product_id, parent_product_id, production_type_code, unit_price, product_name, product_color, product_size ) # Financial_Transactions ( transaction_id, account_id, invoice_number, transaction_type, transaction_date, transaction_amount, transaction_comment, other_transaction_details ) # Order_Items ( order_item_id, order_id, product_id, product_quantity, other_order_item_details ) # Invoice_Line_Items ( order_item_id, invoice_number, product_id, product_title, product_quantity, product_price, derived_product_cost, derived_vat_payable, derived_total_cost ) # # Orders.customer_id can be joined with Customers.customer_id # Invoices.order_id can be joined with Orders.order_id # Accounts.customer_id can be joined with Customers.customer_id # Products.production_type_code can be joined with Product_Categories.production_type_code # Financial_Transactions.account_id can be joined with Accounts.account_id # Financial_Transactions.invoice_number can be joined with Invoices.invoice_number # Order_Items.order_id can be joined with Orders.order_id # Order_Items.product_id can be joined with Products.product_id # Invoice_Line_Items.product_id can be joined with Products.product_id # Invoice_Line_Items.invoice_number can be joined with Invoices.invoice_number # Invoice_Line_Items.order_item_id can be joined with Order_Items.order_item_id # ### Question: # # What is the invoice number and invoice date corresponding to the invoice with the greatest number of transactions? # ### SQL: # # SELECT T2.invoice_number , T2.invoice_date FROM Financial_transactions AS T1 JOIN Invoices AS T2 ON T1.invoice_number = T2.invoice_number GROUP BY T1.invoice_number ORDER BY count(*) DESC LIMIT 1 # ### End.
customers_and_invoices	### Complete SQL query only and with no explanation ### SQL tables followed by foreign key information: # # Customers ( customer_id, customer_first_name, customer_middle_initial, customer_last_name, gender, email_address, login_name, login_password, phone_number, town_city, state_county_province, country ) # Orders ( order_id, customer_id, date_order_placed, order_details ) # Invoices ( invoice_number, order_id, invoice_date ) # Accounts ( account_id, customer_id, date_account_opened, account_name, other_account_details ) # Product_Categories ( production_type_code, product_type_description, vat_rating ) # Products ( product_id, parent_product_id, production_type_code, unit_price, product_name, product_color, product_size ) # Financial_Transactions ( transaction_id, account_id, invoice_number, transaction_type, transaction_date, transaction_amount, transaction_comment, other_transaction_details ) # Order_Items ( order_item_id, order_id, product_id, product_quantity, other_order_item_details ) # Invoice_Line_Items ( order_item_id, invoice_number, product_id, product_title, product_quantity, product_price, derived_product_cost, derived_vat_payable, derived_total_cost ) # # Orders.customer_id can be joined with Customers.customer_id # Invoices.order_id can be joined with Orders.order_id # Accounts.customer_id can be joined with Customers.customer_id # Products.production_type_code can be joined with Product_Categories.production_type_code # Financial_Transactions.account_id can be joined with Accounts.account_id # Financial_Transactions.invoice_number can be joined with Invoices.invoice_number # Order_Items.order_id can be joined with Orders.order_id # Order_Items.product_id can be joined with Products.product_id # Invoice_Line_Items.product_id can be joined with Products.product_id # Invoice_Line_Items.invoice_number can be joined with Invoices.invoice_number # Invoice_Line_Items.order_item_id can be joined with Order_Items.order_item_id # ### Question: # # How many invoices do we have? # ### SQL: # # SELECT count(*) FROM Invoices # ### End.
customers_and_invoices	### Complete SQL query only and with no explanation ### SQL tables followed by foreign key information: # # Customers ( customer_id, customer_first_name, customer_middle_initial, customer_last_name, gender, email_address, login_name, login_password, phone_number, town_city, state_county_province, country ) # Orders ( order_id, customer_id, date_order_placed, order_details ) # Invoices ( invoice_number, order_id, invoice_date ) # Accounts ( account_id, customer_id, date_account_opened, account_name, other_account_details ) # Product_Categories ( production_type_code, product_type_description, vat_rating ) # Products ( product_id, parent_product_id, production_type_code, unit_price, product_name, product_color, product_size ) # Financial_Transactions ( transaction_id, account_id, invoice_number, transaction_type, transaction_date, transaction_amount, transaction_comment, other_transaction_details ) # Order_Items ( order_item_id, order_id, product_id, product_quantity, other_order_item_details ) # Invoice_Line_Items ( order_item_id, invoice_number, product_id, product_title, product_quantity, product_price, derived_product_cost, derived_vat_payable, derived_total_cost ) # # Orders.customer_id can be joined with Customers.customer_id # Invoices.order_id can be joined with Orders.order_id # Accounts.customer_id can be joined with Customers.customer_id # Products.production_type_code can be joined with Product_Categories.production_type_code # Financial_Transactions.account_id can be joined with Accounts.account_id # Financial_Transactions.invoice_number can be joined with Invoices.invoice_number # Order_Items.order_id can be joined with Orders.order_id # Order_Items.product_id can be joined with Products.product_id # Invoice_Line_Items.product_id can be joined with Products.product_id # Invoice_Line_Items.invoice_number can be joined with Invoices.invoice_number # Invoice_Line_Items.order_item_id can be joined with Order_Items.order_item_id # ### Question: # # Count the number of invoices. # ### SQL: # # SELECT count(*) FROM Invoices # ### End.
customers_and_invoices	### Complete SQL query only and with no explanation ### SQL tables followed by foreign key information: # # Customers ( customer_id, customer_first_name, customer_middle_initial, customer_last_name, gender, email_address, login_name, login_password, phone_number, town_city, state_county_province, country ) # Orders ( order_id, customer_id, date_order_placed, order_details ) # Invoices ( invoice_number, order_id, invoice_date ) # Accounts ( account_id, customer_id, date_account_opened, account_name, other_account_details ) # Product_Categories ( production_type_code, product_type_description, vat_rating ) # Products ( product_id, parent_product_id, production_type_code, unit_price, product_name, product_color, product_size ) # Financial_Transactions ( transaction_id, account_id, invoice_number, transaction_type, transaction_date, transaction_amount, transaction_comment, other_transaction_details ) # Order_Items ( order_item_id, order_id, product_id, product_quantity, other_order_item_details ) # Invoice_Line_Items ( order_item_id, invoice_number, product_id, product_title, product_quantity, product_price, derived_product_cost, derived_vat_payable, derived_total_cost ) # # Orders.customer_id can be joined with Customers.customer_id # Invoices.order_id can be joined with Orders.order_id # Accounts.customer_id can be joined with Customers.customer_id # Products.production_type_code can be joined with Product_Categories.production_type_code # Financial_Transactions.account_id can be joined with Accounts.account_id # Financial_Transactions.invoice_number can be joined with Invoices.invoice_number # Order_Items.order_id can be joined with Orders.order_id # Order_Items.product_id can be joined with Products.product_id # Invoice_Line_Items.product_id can be joined with Products.product_id # Invoice_Line_Items.invoice_number can be joined with Invoices.invoice_number # Invoice_Line_Items.order_item_id can be joined with Order_Items.order_item_id # ### Question: # # Show invoice dates and order id and details for all invoices. # ### SQL: # # SELECT T1.invoice_date , T1.order_id , T2.order_details FROM Invoices AS T1 JOIN Orders AS T2 ON T1.order_id = T2.order_id # ### End.
customers_and_invoices	### Complete SQL query only and with no explanation ### SQL tables followed by foreign key information: # # Customers ( customer_id, customer_first_name, customer_middle_initial, customer_last_name, gender, email_address, login_name, login_password, phone_number, town_city, state_county_province, country ) # Orders ( order_id, customer_id, date_order_placed, order_details ) # Invoices ( invoice_number, order_id, invoice_date ) # Accounts ( account_id, customer_id, date_account_opened, account_name, other_account_details ) # Product_Categories ( production_type_code, product_type_description, vat_rating ) # Products ( product_id, parent_product_id, production_type_code, unit_price, product_name, product_color, product_size ) # Financial_Transactions ( transaction_id, account_id, invoice_number, transaction_type, transaction_date, transaction_amount, transaction_comment, other_transaction_details ) # Order_Items ( order_item_id, order_id, product_id, product_quantity, other_order_item_details ) # Invoice_Line_Items ( order_item_id, invoice_number, product_id, product_title, product_quantity, product_price, derived_product_cost, derived_vat_payable, derived_total_cost ) # # Orders.customer_id can be joined with Customers.customer_id # Invoices.order_id can be joined with Orders.order_id # Accounts.customer_id can be joined with Customers.customer_id # Products.production_type_code can be joined with Product_Categories.production_type_code # Financial_Transactions.account_id can be joined with Accounts.account_id # Financial_Transactions.invoice_number can be joined with Invoices.invoice_number # Order_Items.order_id can be joined with Orders.order_id # Order_Items.product_id can be joined with Products.product_id # Invoice_Line_Items.product_id can be joined with Products.product_id # Invoice_Line_Items.invoice_number can be joined with Invoices.invoice_number # Invoice_Line_Items.order_item_id can be joined with Order_Items.order_item_id # ### Question: # # What are the invoice dates, order ids, and order details for all invoices? # ### SQL: # # SELECT T1.invoice_date , T1.order_id , T2.order_details FROM Invoices AS T1 JOIN Orders AS T2 ON T1.order_id = T2.order_id # ### End.
customers_and_invoices	### Complete SQL query only and with no explanation ### SQL tables followed by foreign key information: # # Customers ( customer_id, customer_first_name, customer_middle_initial, customer_last_name, gender, email_address, login_name, login_password, phone_number, town_city, state_county_province, country ) # Orders ( order_id, customer_id, date_order_placed, order_details ) # Invoices ( invoice_number, order_id, invoice_date ) # Accounts ( account_id, customer_id, date_account_opened, account_name, other_account_details ) # Product_Categories ( production_type_code, product_type_description, vat_rating ) # Products ( product_id, parent_product_id, production_type_code, unit_price, product_name, product_color, product_size ) # Financial_Transactions ( transaction_id, account_id, invoice_number, transaction_type, transaction_date, transaction_amount, transaction_comment, other_transaction_details ) # Order_Items ( order_item_id, order_id, product_id, product_quantity, other_order_item_details ) # Invoice_Line_Items ( order_item_id, invoice_number, product_id, product_title, product_quantity, product_price, derived_product_cost, derived_vat_payable, derived_total_cost ) # # Orders.customer_id can be joined with Customers.customer_id # Invoices.order_id can be joined with Orders.order_id # Accounts.customer_id can be joined with Customers.customer_id # Products.production_type_code can be joined with Product_Categories.production_type_code # Financial_Transactions.account_id can be joined with Accounts.account_id # Financial_Transactions.invoice_number can be joined with Invoices.invoice_number # Order_Items.order_id can be joined with Orders.order_id # Order_Items.product_id can be joined with Products.product_id # Invoice_Line_Items.product_id can be joined with Products.product_id # Invoice_Line_Items.invoice_number can be joined with Invoices.invoice_number # Invoice_Line_Items.order_item_id can be joined with Order_Items.order_item_id # ### Question: # # Show the order ids and the number of invoices for each order. # ### SQL: # # SELECT order_id , count(*) FROM Invoices GROUP BY order_id # ### End.
customers_and_invoices	### Complete SQL query only and with no explanation ### SQL tables followed by foreign key information: # # Customers ( customer_id, customer_first_name, customer_middle_initial, customer_last_name, gender, email_address, login_name, login_password, phone_number, town_city, state_county_province, country ) # Orders ( order_id, customer_id, date_order_placed, order_details ) # Invoices ( invoice_number, order_id, invoice_date ) # Accounts ( account_id, customer_id, date_account_opened, account_name, other_account_details ) # Product_Categories ( production_type_code, product_type_description, vat_rating ) # Products ( product_id, parent_product_id, production_type_code, unit_price, product_name, product_color, product_size ) # Financial_Transactions ( transaction_id, account_id, invoice_number, transaction_type, transaction_date, transaction_amount, transaction_comment, other_transaction_details ) # Order_Items ( order_item_id, order_id, product_id, product_quantity, other_order_item_details ) # Invoice_Line_Items ( order_item_id, invoice_number, product_id, product_title, product_quantity, product_price, derived_product_cost, derived_vat_payable, derived_total_cost ) # # Orders.customer_id can be joined with Customers.customer_id # Invoices.order_id can be joined with Orders.order_id # Accounts.customer_id can be joined with Customers.customer_id # Products.production_type_code can be joined with Product_Categories.production_type_code # Financial_Transactions.account_id can be joined with Accounts.account_id # Financial_Transactions.invoice_number can be joined with Invoices.invoice_number # Order_Items.order_id can be joined with Orders.order_id # Order_Items.product_id can be joined with Products.product_id # Invoice_Line_Items.product_id can be joined with Products.product_id # Invoice_Line_Items.invoice_number can be joined with Invoices.invoice_number # Invoice_Line_Items.order_item_id can be joined with Order_Items.order_item_id # ### Question: # # How many invoices correspond to each order id? # ### SQL: # # SELECT order_id , count(*) FROM Invoices GROUP BY order_id # ### End.
customers_and_invoices	### Complete SQL query only and with no explanation ### SQL tables followed by foreign key information: # # Customers ( customer_id, customer_first_name, customer_middle_initial, customer_last_name, gender, email_address, login_name, login_password, phone_number, town_city, state_county_province, country ) # Orders ( order_id, customer_id, date_order_placed, order_details ) # Invoices ( invoice_number, order_id, invoice_date ) # Accounts ( account_id, customer_id, date_account_opened, account_name, other_account_details ) # Product_Categories ( production_type_code, product_type_description, vat_rating ) # Products ( product_id, parent_product_id, production_type_code, unit_price, product_name, product_color, product_size ) # Financial_Transactions ( transaction_id, account_id, invoice_number, transaction_type, transaction_date, transaction_amount, transaction_comment, other_transaction_details ) # Order_Items ( order_item_id, order_id, product_id, product_quantity, other_order_item_details ) # Invoice_Line_Items ( order_item_id, invoice_number, product_id, product_title, product_quantity, product_price, derived_product_cost, derived_vat_payable, derived_total_cost ) # # Orders.customer_id can be joined with Customers.customer_id # Invoices.order_id can be joined with Orders.order_id # Accounts.customer_id can be joined with Customers.customer_id # Products.production_type_code can be joined with Product_Categories.production_type_code # Financial_Transactions.account_id can be joined with Accounts.account_id # Financial_Transactions.invoice_number can be joined with Invoices.invoice_number # Order_Items.order_id can be joined with Orders.order_id # Order_Items.product_id can be joined with Products.product_id # Invoice_Line_Items.product_id can be joined with Products.product_id # Invoice_Line_Items.invoice_number can be joined with Invoices.invoice_number # Invoice_Line_Items.order_item_id can be joined with Order_Items.order_item_id # ### Question: # # What is the order id and order details for the order more than two invoices. # ### SQL: # # SELECT T2.order_id , T2.order_details FROM Invoices AS T1 JOIN Orders AS T2 ON T1.order_id = T2.order_id GROUP BY T2.order_id HAVING count(*) > 2 # ### End.
customers_and_invoices	### Complete SQL query only and with no explanation ### SQL tables followed by foreign key information: # # Customers ( customer_id, customer_first_name, customer_middle_initial, customer_last_name, gender, email_address, login_name, login_password, phone_number, town_city, state_county_province, country ) # Orders ( order_id, customer_id, date_order_placed, order_details ) # Invoices ( invoice_number, order_id, invoice_date ) # Accounts ( account_id, customer_id, date_account_opened, account_name, other_account_details ) # Product_Categories ( production_type_code, product_type_description, vat_rating ) # Products ( product_id, parent_product_id, production_type_code, unit_price, product_name, product_color, product_size ) # Financial_Transactions ( transaction_id, account_id, invoice_number, transaction_type, transaction_date, transaction_amount, transaction_comment, other_transaction_details ) # Order_Items ( order_item_id, order_id, product_id, product_quantity, other_order_item_details ) # Invoice_Line_Items ( order_item_id, invoice_number, product_id, product_title, product_quantity, product_price, derived_product_cost, derived_vat_payable, derived_total_cost ) # # Orders.customer_id can be joined with Customers.customer_id # Invoices.order_id can be joined with Orders.order_id # Accounts.customer_id can be joined with Customers.customer_id # Products.production_type_code can be joined with Product_Categories.production_type_code # Financial_Transactions.account_id can be joined with Accounts.account_id # Financial_Transactions.invoice_number can be joined with Invoices.invoice_number # Order_Items.order_id can be joined with Orders.order_id # Order_Items.product_id can be joined with Products.product_id # Invoice_Line_Items.product_id can be joined with Products.product_id # Invoice_Line_Items.invoice_number can be joined with Invoices.invoice_number # Invoice_Line_Items.order_item_id can be joined with Order_Items.order_item_id # ### Question: # # Return the order ids and details for orderes with two or more invoices. # ### SQL: # # SELECT T2.order_id , T2.order_details FROM Invoices AS T1 JOIN Orders AS T2 ON T1.order_id = T2.order_id GROUP BY T2.order_id HAVING count(*) > 2 # ### End.
customers_and_invoices	### Complete SQL query only and with no explanation ### SQL tables followed by foreign key information: # # Customers ( customer_id, customer_first_name, customer_middle_initial, customer_last_name, gender, email_address, login_name, login_password, phone_number, town_city, state_county_province, country ) # Orders ( order_id, customer_id, date_order_placed, order_details ) # Invoices ( invoice_number, order_id, invoice_date ) # Accounts ( account_id, customer_id, date_account_opened, account_name, other_account_details ) # Product_Categories ( production_type_code, product_type_description, vat_rating ) # Products ( product_id, parent_product_id, production_type_code, unit_price, product_name, product_color, product_size ) # Financial_Transactions ( transaction_id, account_id, invoice_number, transaction_type, transaction_date, transaction_amount, transaction_comment, other_transaction_details ) # Order_Items ( order_item_id, order_id, product_id, product_quantity, other_order_item_details ) # Invoice_Line_Items ( order_item_id, invoice_number, product_id, product_title, product_quantity, product_price, derived_product_cost, derived_vat_payable, derived_total_cost ) # # Orders.customer_id can be joined with Customers.customer_id # Invoices.order_id can be joined with Orders.order_id # Accounts.customer_id can be joined with Customers.customer_id # Products.production_type_code can be joined with Product_Categories.production_type_code # Financial_Transactions.account_id can be joined with Accounts.account_id # Financial_Transactions.invoice_number can be joined with Invoices.invoice_number # Order_Items.order_id can be joined with Orders.order_id # Order_Items.product_id can be joined with Products.product_id # Invoice_Line_Items.product_id can be joined with Products.product_id # Invoice_Line_Items.invoice_number can be joined with Invoices.invoice_number # Invoice_Line_Items.order_item_id can be joined with Order_Items.order_item_id # ### Question: # # What is the customer last name, id and phone number with most number of orders? # ### SQL: # # SELECT T2.customer_last_name , T1.customer_id , T2.phone_number FROM Orders AS T1 JOIN Customers AS T2 ON T1.customer_id = T2.customer_id GROUP BY T1.customer_id ORDER BY count(*) DESC LIMIT 1 # ### End.
customers_and_invoices	### Complete SQL query only and with no explanation ### SQL tables followed by foreign key information: # # Customers ( customer_id, customer_first_name, customer_middle_initial, customer_last_name, gender, email_address, login_name, login_password, phone_number, town_city, state_county_province, country ) # Orders ( order_id, customer_id, date_order_placed, order_details ) # Invoices ( invoice_number, order_id, invoice_date ) # Accounts ( account_id, customer_id, date_account_opened, account_name, other_account_details ) # Product_Categories ( production_type_code, product_type_description, vat_rating ) # Products ( product_id, parent_product_id, production_type_code, unit_price, product_name, product_color, product_size ) # Financial_Transactions ( transaction_id, account_id, invoice_number, transaction_type, transaction_date, transaction_amount, transaction_comment, other_transaction_details ) # Order_Items ( order_item_id, order_id, product_id, product_quantity, other_order_item_details ) # Invoice_Line_Items ( order_item_id, invoice_number, product_id, product_title, product_quantity, product_price, derived_product_cost, derived_vat_payable, derived_total_cost ) # # Orders.customer_id can be joined with Customers.customer_id # Invoices.order_id can be joined with Orders.order_id # Accounts.customer_id can be joined with Customers.customer_id # Products.production_type_code can be joined with Product_Categories.production_type_code # Financial_Transactions.account_id can be joined with Accounts.account_id # Financial_Transactions.invoice_number can be joined with Invoices.invoice_number # Order_Items.order_id can be joined with Orders.order_id # Order_Items.product_id can be joined with Products.product_id # Invoice_Line_Items.product_id can be joined with Products.product_id # Invoice_Line_Items.invoice_number can be joined with Invoices.invoice_number # Invoice_Line_Items.order_item_id can be joined with Order_Items.order_item_id # ### Question: # # Return the last name, id and phone number of the customer who has made the greatest number of orders. # ### SQL: # # SELECT T2.customer_last_name , T1.customer_id , T2.phone_number FROM Orders AS T1 JOIN Customers AS T2 ON T1.customer_id = T2.customer_id GROUP BY T1.customer_id ORDER BY count(*) DESC LIMIT 1 # ### End.
customers_and_invoices	### Complete SQL query only and with no explanation ### SQL tables followed by foreign key information: # # Customers ( customer_id, customer_first_name, customer_middle_initial, customer_last_name, gender, email_address, login_name, login_password, phone_number, town_city, state_county_province, country ) # Orders ( order_id, customer_id, date_order_placed, order_details ) # Invoices ( invoice_number, order_id, invoice_date ) # Accounts ( account_id, customer_id, date_account_opened, account_name, other_account_details ) # Product_Categories ( production_type_code, product_type_description, vat_rating ) # Products ( product_id, parent_product_id, production_type_code, unit_price, product_name, product_color, product_size ) # Financial_Transactions ( transaction_id, account_id, invoice_number, transaction_type, transaction_date, transaction_amount, transaction_comment, other_transaction_details ) # Order_Items ( order_item_id, order_id, product_id, product_quantity, other_order_item_details ) # Invoice_Line_Items ( order_item_id, invoice_number, product_id, product_title, product_quantity, product_price, derived_product_cost, derived_vat_payable, derived_total_cost ) # # Orders.customer_id can be joined with Customers.customer_id # Invoices.order_id can be joined with Orders.order_id # Accounts.customer_id can be joined with Customers.customer_id # Products.production_type_code can be joined with Product_Categories.production_type_code # Financial_Transactions.account_id can be joined with Accounts.account_id # Financial_Transactions.invoice_number can be joined with Invoices.invoice_number # Order_Items.order_id can be joined with Orders.order_id # Order_Items.product_id can be joined with Products.product_id # Invoice_Line_Items.product_id can be joined with Products.product_id # Invoice_Line_Items.invoice_number can be joined with Invoices.invoice_number # Invoice_Line_Items.order_item_id can be joined with Order_Items.order_item_id # ### Question: # # Show all product names without an order. # ### SQL: # # SELECT product_name FROM Products EXCEPT SELECT T1.product_name FROM Products AS T1 JOIN Order_items AS T2 ON T1.product_id = T2.product_id # ### End.
customers_and_invoices	### Complete SQL query only and with no explanation ### SQL tables followed by foreign key information: # # Customers ( customer_id, customer_first_name, customer_middle_initial, customer_last_name, gender, email_address, login_name, login_password, phone_number, town_city, state_county_province, country ) # Orders ( order_id, customer_id, date_order_placed, order_details ) # Invoices ( invoice_number, order_id, invoice_date ) # Accounts ( account_id, customer_id, date_account_opened, account_name, other_account_details ) # Product_Categories ( production_type_code, product_type_description, vat_rating ) # Products ( product_id, parent_product_id, production_type_code, unit_price, product_name, product_color, product_size ) # Financial_Transactions ( transaction_id, account_id, invoice_number, transaction_type, transaction_date, transaction_amount, transaction_comment, other_transaction_details ) # Order_Items ( order_item_id, order_id, product_id, product_quantity, other_order_item_details ) # Invoice_Line_Items ( order_item_id, invoice_number, product_id, product_title, product_quantity, product_price, derived_product_cost, derived_vat_payable, derived_total_cost ) # # Orders.customer_id can be joined with Customers.customer_id # Invoices.order_id can be joined with Orders.order_id # Accounts.customer_id can be joined with Customers.customer_id # Products.production_type_code can be joined with Product_Categories.production_type_code # Financial_Transactions.account_id can be joined with Accounts.account_id # Financial_Transactions.invoice_number can be joined with Invoices.invoice_number # Order_Items.order_id can be joined with Orders.order_id # Order_Items.product_id can be joined with Products.product_id # Invoice_Line_Items.product_id can be joined with Products.product_id # Invoice_Line_Items.invoice_number can be joined with Invoices.invoice_number # Invoice_Line_Items.order_item_id can be joined with Order_Items.order_item_id # ### Question: # # What are the names of products that have never been ordered? # ### SQL: # # SELECT product_name FROM Products EXCEPT SELECT T1.product_name FROM Products AS T1 JOIN Order_items AS T2 ON T1.product_id = T2.product_id # ### End.
customers_and_invoices	### Complete SQL query only and with no explanation ### SQL tables followed by foreign key information: # # Customers ( customer_id, customer_first_name, customer_middle_initial, customer_last_name, gender, email_address, login_name, login_password, phone_number, town_city, state_county_province, country ) # Orders ( order_id, customer_id, date_order_placed, order_details ) # Invoices ( invoice_number, order_id, invoice_date ) # Accounts ( account_id, customer_id, date_account_opened, account_name, other_account_details ) # Product_Categories ( production_type_code, product_type_description, vat_rating ) # Products ( product_id, parent_product_id, production_type_code, unit_price, product_name, product_color, product_size ) # Financial_Transactions ( transaction_id, account_id, invoice_number, transaction_type, transaction_date, transaction_amount, transaction_comment, other_transaction_details ) # Order_Items ( order_item_id, order_id, product_id, product_quantity, other_order_item_details ) # Invoice_Line_Items ( order_item_id, invoice_number, product_id, product_title, product_quantity, product_price, derived_product_cost, derived_vat_payable, derived_total_cost ) # # Orders.customer_id can be joined with Customers.customer_id # Invoices.order_id can be joined with Orders.order_id # Accounts.customer_id can be joined with Customers.customer_id # Products.production_type_code can be joined with Product_Categories.production_type_code # Financial_Transactions.account_id can be joined with Accounts.account_id # Financial_Transactions.invoice_number can be joined with Invoices.invoice_number # Order_Items.order_id can be joined with Orders.order_id # Order_Items.product_id can be joined with Products.product_id # Invoice_Line_Items.product_id can be joined with Products.product_id # Invoice_Line_Items.invoice_number can be joined with Invoices.invoice_number # Invoice_Line_Items.order_item_id can be joined with Order_Items.order_item_id # ### Question: # # Show all product names and the total quantity ordered for each product name. # ### SQL: # # SELECT T2.product_name , sum(T1.product_quantity) FROM Order_items AS T1 JOIN Products AS T2 ON T1.product_id = T2.product_id GROUP BY T2.product_name # ### End.
customers_and_invoices	### Complete SQL query only and with no explanation ### SQL tables followed by foreign key information: # # Customers ( customer_id, customer_first_name, customer_middle_initial, customer_last_name, gender, email_address, login_name, login_password, phone_number, town_city, state_county_province, country ) # Orders ( order_id, customer_id, date_order_placed, order_details ) # Invoices ( invoice_number, order_id, invoice_date ) # Accounts ( account_id, customer_id, date_account_opened, account_name, other_account_details ) # Product_Categories ( production_type_code, product_type_description, vat_rating ) # Products ( product_id, parent_product_id, production_type_code, unit_price, product_name, product_color, product_size ) # Financial_Transactions ( transaction_id, account_id, invoice_number, transaction_type, transaction_date, transaction_amount, transaction_comment, other_transaction_details ) # Order_Items ( order_item_id, order_id, product_id, product_quantity, other_order_item_details ) # Invoice_Line_Items ( order_item_id, invoice_number, product_id, product_title, product_quantity, product_price, derived_product_cost, derived_vat_payable, derived_total_cost ) # # Orders.customer_id can be joined with Customers.customer_id # Invoices.order_id can be joined with Orders.order_id # Accounts.customer_id can be joined with Customers.customer_id # Products.production_type_code can be joined with Product_Categories.production_type_code # Financial_Transactions.account_id can be joined with Accounts.account_id # Financial_Transactions.invoice_number can be joined with Invoices.invoice_number # Order_Items.order_id can be joined with Orders.order_id # Order_Items.product_id can be joined with Products.product_id # Invoice_Line_Items.product_id can be joined with Products.product_id # Invoice_Line_Items.invoice_number can be joined with Invoices.invoice_number # Invoice_Line_Items.order_item_id can be joined with Order_Items.order_item_id # ### Question: # # What are the different product names, and what is the sum of quantity ordered for each product? # ### SQL: # # SELECT T2.product_name , sum(T1.product_quantity) FROM Order_items AS T1 JOIN Products AS T2 ON T1.product_id = T2.product_id GROUP BY T2.product_name # ### End.
customers_and_invoices	### Complete SQL query only and with no explanation ### SQL tables followed by foreign key information: # # Customers ( customer_id, customer_first_name, customer_middle_initial, customer_last_name, gender, email_address, login_name, login_password, phone_number, town_city, state_county_province, country ) # Orders ( order_id, customer_id, date_order_placed, order_details ) # Invoices ( invoice_number, order_id, invoice_date ) # Accounts ( account_id, customer_id, date_account_opened, account_name, other_account_details ) # Product_Categories ( production_type_code, product_type_description, vat_rating ) # Products ( product_id, parent_product_id, production_type_code, unit_price, product_name, product_color, product_size ) # Financial_Transactions ( transaction_id, account_id, invoice_number, transaction_type, transaction_date, transaction_amount, transaction_comment, other_transaction_details ) # Order_Items ( order_item_id, order_id, product_id, product_quantity, other_order_item_details ) # Invoice_Line_Items ( order_item_id, invoice_number, product_id, product_title, product_quantity, product_price, derived_product_cost, derived_vat_payable, derived_total_cost ) # # Orders.customer_id can be joined with Customers.customer_id # Invoices.order_id can be joined with Orders.order_id # Accounts.customer_id can be joined with Customers.customer_id # Products.production_type_code can be joined with Product_Categories.production_type_code # Financial_Transactions.account_id can be joined with Accounts.account_id # Financial_Transactions.invoice_number can be joined with Invoices.invoice_number # Order_Items.order_id can be joined with Orders.order_id # Order_Items.product_id can be joined with Products.product_id # Invoice_Line_Items.product_id can be joined with Products.product_id # Invoice_Line_Items.invoice_number can be joined with Invoices.invoice_number # Invoice_Line_Items.order_item_id can be joined with Order_Items.order_item_id # ### Question: # # Show the order ids and the number of items in each order. # ### SQL: # # SELECT order_id , count(*) FROM Order_items GROUP BY order_id # ### End.
customers_and_invoices	### Complete SQL query only and with no explanation ### SQL tables followed by foreign key information: # # Customers ( customer_id, customer_first_name, customer_middle_initial, customer_last_name, gender, email_address, login_name, login_password, phone_number, town_city, state_county_province, country ) # Orders ( order_id, customer_id, date_order_placed, order_details ) # Invoices ( invoice_number, order_id, invoice_date ) # Accounts ( account_id, customer_id, date_account_opened, account_name, other_account_details ) # Product_Categories ( production_type_code, product_type_description, vat_rating ) # Products ( product_id, parent_product_id, production_type_code, unit_price, product_name, product_color, product_size ) # Financial_Transactions ( transaction_id, account_id, invoice_number, transaction_type, transaction_date, transaction_amount, transaction_comment, other_transaction_details ) # Order_Items ( order_item_id, order_id, product_id, product_quantity, other_order_item_details ) # Invoice_Line_Items ( order_item_id, invoice_number, product_id, product_title, product_quantity, product_price, derived_product_cost, derived_vat_payable, derived_total_cost ) # # Orders.customer_id can be joined with Customers.customer_id # Invoices.order_id can be joined with Orders.order_id # Accounts.customer_id can be joined with Customers.customer_id # Products.production_type_code can be joined with Product_Categories.production_type_code # Financial_Transactions.account_id can be joined with Accounts.account_id # Financial_Transactions.invoice_number can be joined with Invoices.invoice_number # Order_Items.order_id can be joined with Orders.order_id # Order_Items.product_id can be joined with Products.product_id # Invoice_Line_Items.product_id can be joined with Products.product_id # Invoice_Line_Items.invoice_number can be joined with Invoices.invoice_number # Invoice_Line_Items.order_item_id can be joined with Order_Items.order_item_id # ### Question: # # How many order items correspond to each order id? # ### SQL: # # SELECT order_id , count(*) FROM Order_items GROUP BY order_id # ### End.
customers_and_invoices	### Complete SQL query only and with no explanation ### SQL tables followed by foreign key information: # # Customers ( customer_id, customer_first_name, customer_middle_initial, customer_last_name, gender, email_address, login_name, login_password, phone_number, town_city, state_county_province, country ) # Orders ( order_id, customer_id, date_order_placed, order_details ) # Invoices ( invoice_number, order_id, invoice_date ) # Accounts ( account_id, customer_id, date_account_opened, account_name, other_account_details ) # Product_Categories ( production_type_code, product_type_description, vat_rating ) # Products ( product_id, parent_product_id, production_type_code, unit_price, product_name, product_color, product_size ) # Financial_Transactions ( transaction_id, account_id, invoice_number, transaction_type, transaction_date, transaction_amount, transaction_comment, other_transaction_details ) # Order_Items ( order_item_id, order_id, product_id, product_quantity, other_order_item_details ) # Invoice_Line_Items ( order_item_id, invoice_number, product_id, product_title, product_quantity, product_price, derived_product_cost, derived_vat_payable, derived_total_cost ) # # Orders.customer_id can be joined with Customers.customer_id # Invoices.order_id can be joined with Orders.order_id # Accounts.customer_id can be joined with Customers.customer_id # Products.production_type_code can be joined with Product_Categories.production_type_code # Financial_Transactions.account_id can be joined with Accounts.account_id # Financial_Transactions.invoice_number can be joined with Invoices.invoice_number # Order_Items.order_id can be joined with Orders.order_id # Order_Items.product_id can be joined with Products.product_id # Invoice_Line_Items.product_id can be joined with Products.product_id # Invoice_Line_Items.invoice_number can be joined with Invoices.invoice_number # Invoice_Line_Items.order_item_id can be joined with Order_Items.order_item_id # ### Question: # # Show the product ids and the number of unique orders containing each product. # ### SQL: # # SELECT product_id , count(DISTINCT order_id) FROM Order_items GROUP BY product_id # ### End.
customers_and_invoices	### Complete SQL query only and with no explanation ### SQL tables followed by foreign key information: # # Customers ( customer_id, customer_first_name, customer_middle_initial, customer_last_name, gender, email_address, login_name, login_password, phone_number, town_city, state_county_province, country ) # Orders ( order_id, customer_id, date_order_placed, order_details ) # Invoices ( invoice_number, order_id, invoice_date ) # Accounts ( account_id, customer_id, date_account_opened, account_name, other_account_details ) # Product_Categories ( production_type_code, product_type_description, vat_rating ) # Products ( product_id, parent_product_id, production_type_code, unit_price, product_name, product_color, product_size ) # Financial_Transactions ( transaction_id, account_id, invoice_number, transaction_type, transaction_date, transaction_amount, transaction_comment, other_transaction_details ) # Order_Items ( order_item_id, order_id, product_id, product_quantity, other_order_item_details ) # Invoice_Line_Items ( order_item_id, invoice_number, product_id, product_title, product_quantity, product_price, derived_product_cost, derived_vat_payable, derived_total_cost ) # # Orders.customer_id can be joined with Customers.customer_id # Invoices.order_id can be joined with Orders.order_id # Accounts.customer_id can be joined with Customers.customer_id # Products.production_type_code can be joined with Product_Categories.production_type_code # Financial_Transactions.account_id can be joined with Accounts.account_id # Financial_Transactions.invoice_number can be joined with Invoices.invoice_number # Order_Items.order_id can be joined with Orders.order_id # Order_Items.product_id can be joined with Products.product_id # Invoice_Line_Items.product_id can be joined with Products.product_id # Invoice_Line_Items.invoice_number can be joined with Invoices.invoice_number # Invoice_Line_Items.order_item_id can be joined with Order_Items.order_item_id # ### Question: # # How many distinct order ids correspond to each product? # ### SQL: # # SELECT product_id , count(DISTINCT order_id) FROM Order_items GROUP BY product_id # ### End.
customers_and_invoices	### Complete SQL query only and with no explanation ### SQL tables followed by foreign key information: # # Customers ( customer_id, customer_first_name, customer_middle_initial, customer_last_name, gender, email_address, login_name, login_password, phone_number, town_city, state_county_province, country ) # Orders ( order_id, customer_id, date_order_placed, order_details ) # Invoices ( invoice_number, order_id, invoice_date ) # Accounts ( account_id, customer_id, date_account_opened, account_name, other_account_details ) # Product_Categories ( production_type_code, product_type_description, vat_rating ) # Products ( product_id, parent_product_id, production_type_code, unit_price, product_name, product_color, product_size ) # Financial_Transactions ( transaction_id, account_id, invoice_number, transaction_type, transaction_date, transaction_amount, transaction_comment, other_transaction_details ) # Order_Items ( order_item_id, order_id, product_id, product_quantity, other_order_item_details ) # Invoice_Line_Items ( order_item_id, invoice_number, product_id, product_title, product_quantity, product_price, derived_product_cost, derived_vat_payable, derived_total_cost ) # # Orders.customer_id can be joined with Customers.customer_id # Invoices.order_id can be joined with Orders.order_id # Accounts.customer_id can be joined with Customers.customer_id # Products.production_type_code can be joined with Product_Categories.production_type_code # Financial_Transactions.account_id can be joined with Accounts.account_id # Financial_Transactions.invoice_number can be joined with Invoices.invoice_number # Order_Items.order_id can be joined with Orders.order_id # Order_Items.product_id can be joined with Products.product_id # Invoice_Line_Items.product_id can be joined with Products.product_id # Invoice_Line_Items.invoice_number can be joined with Invoices.invoice_number # Invoice_Line_Items.order_item_id can be joined with Order_Items.order_item_id # ### Question: # # Show all product names and the number of customers having an order on each product. # ### SQL: # # SELECT T2.product_name , count(*) FROM Order_items AS T1 JOIN Products AS T2 ON T1.product_id = T2.product_id JOIN Orders AS T3 ON T3.order_id = T1.order_id GROUP BY T2.product_name # ### End.
customers_and_invoices	### Complete SQL query only and with no explanation ### SQL tables followed by foreign key information: # # Customers ( customer_id, customer_first_name, customer_middle_initial, customer_last_name, gender, email_address, login_name, login_password, phone_number, town_city, state_county_province, country ) # Orders ( order_id, customer_id, date_order_placed, order_details ) # Invoices ( invoice_number, order_id, invoice_date ) # Accounts ( account_id, customer_id, date_account_opened, account_name, other_account_details ) # Product_Categories ( production_type_code, product_type_description, vat_rating ) # Products ( product_id, parent_product_id, production_type_code, unit_price, product_name, product_color, product_size ) # Financial_Transactions ( transaction_id, account_id, invoice_number, transaction_type, transaction_date, transaction_amount, transaction_comment, other_transaction_details ) # Order_Items ( order_item_id, order_id, product_id, product_quantity, other_order_item_details ) # Invoice_Line_Items ( order_item_id, invoice_number, product_id, product_title, product_quantity, product_price, derived_product_cost, derived_vat_payable, derived_total_cost ) # # Orders.customer_id can be joined with Customers.customer_id # Invoices.order_id can be joined with Orders.order_id # Accounts.customer_id can be joined with Customers.customer_id # Products.production_type_code can be joined with Product_Categories.production_type_code # Financial_Transactions.account_id can be joined with Accounts.account_id # Financial_Transactions.invoice_number can be joined with Invoices.invoice_number # Order_Items.order_id can be joined with Orders.order_id # Order_Items.product_id can be joined with Products.product_id # Invoice_Line_Items.product_id can be joined with Products.product_id # Invoice_Line_Items.invoice_number can be joined with Invoices.invoice_number # Invoice_Line_Items.order_item_id can be joined with Order_Items.order_item_id # ### Question: # # What are teh names of the different products, as well as the number of customers who have ordered each product. # ### SQL: # # SELECT T2.product_name , count(*) FROM Order_items AS T1 JOIN Products AS T2 ON T1.product_id = T2.product_id JOIN Orders AS T3 ON T3.order_id = T1.order_id GROUP BY T2.product_name # ### End.
customers_and_invoices	### Complete SQL query only and with no explanation ### SQL tables followed by foreign key information: # # Customers ( customer_id, customer_first_name, customer_middle_initial, customer_last_name, gender, email_address, login_name, login_password, phone_number, town_city, state_county_province, country ) # Orders ( order_id, customer_id, date_order_placed, order_details ) # Invoices ( invoice_number, order_id, invoice_date ) # Accounts ( account_id, customer_id, date_account_opened, account_name, other_account_details ) # Product_Categories ( production_type_code, product_type_description, vat_rating ) # Products ( product_id, parent_product_id, production_type_code, unit_price, product_name, product_color, product_size ) # Financial_Transactions ( transaction_id, account_id, invoice_number, transaction_type, transaction_date, transaction_amount, transaction_comment, other_transaction_details ) # Order_Items ( order_item_id, order_id, product_id, product_quantity, other_order_item_details ) # Invoice_Line_Items ( order_item_id, invoice_number, product_id, product_title, product_quantity, product_price, derived_product_cost, derived_vat_payable, derived_total_cost ) # # Orders.customer_id can be joined with Customers.customer_id # Invoices.order_id can be joined with Orders.order_id # Accounts.customer_id can be joined with Customers.customer_id # Products.production_type_code can be joined with Product_Categories.production_type_code # Financial_Transactions.account_id can be joined with Accounts.account_id # Financial_Transactions.invoice_number can be joined with Invoices.invoice_number # Order_Items.order_id can be joined with Orders.order_id # Order_Items.product_id can be joined with Products.product_id # Invoice_Line_Items.product_id can be joined with Products.product_id # Invoice_Line_Items.invoice_number can be joined with Invoices.invoice_number # Invoice_Line_Items.order_item_id can be joined with Order_Items.order_item_id # ### Question: # # Show order ids and the number of products in each order. # ### SQL: # # SELECT order_id , count(DISTINCT product_id) FROM Order_items GROUP BY order_id # ### End.
customers_and_invoices	### Complete SQL query only and with no explanation ### SQL tables followed by foreign key information: # # Customers ( customer_id, customer_first_name, customer_middle_initial, customer_last_name, gender, email_address, login_name, login_password, phone_number, town_city, state_county_province, country ) # Orders ( order_id, customer_id, date_order_placed, order_details ) # Invoices ( invoice_number, order_id, invoice_date ) # Accounts ( account_id, customer_id, date_account_opened, account_name, other_account_details ) # Product_Categories ( production_type_code, product_type_description, vat_rating ) # Products ( product_id, parent_product_id, production_type_code, unit_price, product_name, product_color, product_size ) # Financial_Transactions ( transaction_id, account_id, invoice_number, transaction_type, transaction_date, transaction_amount, transaction_comment, other_transaction_details ) # Order_Items ( order_item_id, order_id, product_id, product_quantity, other_order_item_details ) # Invoice_Line_Items ( order_item_id, invoice_number, product_id, product_title, product_quantity, product_price, derived_product_cost, derived_vat_payable, derived_total_cost ) # # Orders.customer_id can be joined with Customers.customer_id # Invoices.order_id can be joined with Orders.order_id # Accounts.customer_id can be joined with Customers.customer_id # Products.production_type_code can be joined with Product_Categories.production_type_code # Financial_Transactions.account_id can be joined with Accounts.account_id # Financial_Transactions.invoice_number can be joined with Invoices.invoice_number # Order_Items.order_id can be joined with Orders.order_id # Order_Items.product_id can be joined with Products.product_id # Invoice_Line_Items.product_id can be joined with Products.product_id # Invoice_Line_Items.invoice_number can be joined with Invoices.invoice_number # Invoice_Line_Items.order_item_id can be joined with Order_Items.order_item_id # ### Question: # # How many different products correspond to each order id? # ### SQL: # # SELECT order_id , count(DISTINCT product_id) FROM Order_items GROUP BY order_id # ### End.
customers_and_invoices	### Complete SQL query only and with no explanation ### SQL tables followed by foreign key information: # # Customers ( customer_id, customer_first_name, customer_middle_initial, customer_last_name, gender, email_address, login_name, login_password, phone_number, town_city, state_county_province, country ) # Orders ( order_id, customer_id, date_order_placed, order_details ) # Invoices ( invoice_number, order_id, invoice_date ) # Accounts ( account_id, customer_id, date_account_opened, account_name, other_account_details ) # Product_Categories ( production_type_code, product_type_description, vat_rating ) # Products ( product_id, parent_product_id, production_type_code, unit_price, product_name, product_color, product_size ) # Financial_Transactions ( transaction_id, account_id, invoice_number, transaction_type, transaction_date, transaction_amount, transaction_comment, other_transaction_details ) # Order_Items ( order_item_id, order_id, product_id, product_quantity, other_order_item_details ) # Invoice_Line_Items ( order_item_id, invoice_number, product_id, product_title, product_quantity, product_price, derived_product_cost, derived_vat_payable, derived_total_cost ) # # Orders.customer_id can be joined with Customers.customer_id # Invoices.order_id can be joined with Orders.order_id # Accounts.customer_id can be joined with Customers.customer_id # Products.production_type_code can be joined with Product_Categories.production_type_code # Financial_Transactions.account_id can be joined with Accounts.account_id # Financial_Transactions.invoice_number can be joined with Invoices.invoice_number # Order_Items.order_id can be joined with Orders.order_id # Order_Items.product_id can be joined with Products.product_id # Invoice_Line_Items.product_id can be joined with Products.product_id # Invoice_Line_Items.invoice_number can be joined with Invoices.invoice_number # Invoice_Line_Items.order_item_id can be joined with Order_Items.order_item_id # ### Question: # # Show order ids and the total quantity in each order. # ### SQL: # # SELECT order_id , sum(product_quantity) FROM Order_items GROUP BY order_id # ### End.
customers_and_invoices	### Complete SQL query only and with no explanation ### SQL tables followed by foreign key information: # # Customers ( customer_id, customer_first_name, customer_middle_initial, customer_last_name, gender, email_address, login_name, login_password, phone_number, town_city, state_county_province, country ) # Orders ( order_id, customer_id, date_order_placed, order_details ) # Invoices ( invoice_number, order_id, invoice_date ) # Accounts ( account_id, customer_id, date_account_opened, account_name, other_account_details ) # Product_Categories ( production_type_code, product_type_description, vat_rating ) # Products ( product_id, parent_product_id, production_type_code, unit_price, product_name, product_color, product_size ) # Financial_Transactions ( transaction_id, account_id, invoice_number, transaction_type, transaction_date, transaction_amount, transaction_comment, other_transaction_details ) # Order_Items ( order_item_id, order_id, product_id, product_quantity, other_order_item_details ) # Invoice_Line_Items ( order_item_id, invoice_number, product_id, product_title, product_quantity, product_price, derived_product_cost, derived_vat_payable, derived_total_cost ) # # Orders.customer_id can be joined with Customers.customer_id # Invoices.order_id can be joined with Orders.order_id # Accounts.customer_id can be joined with Customers.customer_id # Products.production_type_code can be joined with Product_Categories.production_type_code # Financial_Transactions.account_id can be joined with Accounts.account_id # Financial_Transactions.invoice_number can be joined with Invoices.invoice_number # Order_Items.order_id can be joined with Orders.order_id # Order_Items.product_id can be joined with Products.product_id # Invoice_Line_Items.product_id can be joined with Products.product_id # Invoice_Line_Items.invoice_number can be joined with Invoices.invoice_number # Invoice_Line_Items.order_item_id can be joined with Order_Items.order_item_id # ### Question: # # Give the order ids for all orders, as well as the total product quantity in each. # ### SQL: # # SELECT order_id , sum(product_quantity) FROM Order_items GROUP BY order_id # ### End.
customers_and_invoices	### Complete SQL query only and with no explanation ### SQL tables followed by foreign key information: # # Customers ( customer_id, customer_first_name, customer_middle_initial, customer_last_name, gender, email_address, login_name, login_password, phone_number, town_city, state_county_province, country ) # Orders ( order_id, customer_id, date_order_placed, order_details ) # Invoices ( invoice_number, order_id, invoice_date ) # Accounts ( account_id, customer_id, date_account_opened, account_name, other_account_details ) # Product_Categories ( production_type_code, product_type_description, vat_rating ) # Products ( product_id, parent_product_id, production_type_code, unit_price, product_name, product_color, product_size ) # Financial_Transactions ( transaction_id, account_id, invoice_number, transaction_type, transaction_date, transaction_amount, transaction_comment, other_transaction_details ) # Order_Items ( order_item_id, order_id, product_id, product_quantity, other_order_item_details ) # Invoice_Line_Items ( order_item_id, invoice_number, product_id, product_title, product_quantity, product_price, derived_product_cost, derived_vat_payable, derived_total_cost ) # # Orders.customer_id can be joined with Customers.customer_id # Invoices.order_id can be joined with Orders.order_id # Accounts.customer_id can be joined with Customers.customer_id # Products.production_type_code can be joined with Product_Categories.production_type_code # Financial_Transactions.account_id can be joined with Accounts.account_id # Financial_Transactions.invoice_number can be joined with Invoices.invoice_number # Order_Items.order_id can be joined with Orders.order_id # Order_Items.product_id can be joined with Products.product_id # Invoice_Line_Items.product_id can be joined with Products.product_id # Invoice_Line_Items.invoice_number can be joined with Invoices.invoice_number # Invoice_Line_Items.order_item_id can be joined with Order_Items.order_item_id # ### Question: # # How many products were not included in any order? # ### SQL: # # SELECT count(*) FROM products WHERE product_id NOT IN ( SELECT product_id FROM Order_items ) # ### End.
customers_and_invoices	### Complete SQL query only and with no explanation ### SQL tables followed by foreign key information: # # Customers ( customer_id, customer_first_name, customer_middle_initial, customer_last_name, gender, email_address, login_name, login_password, phone_number, town_city, state_county_province, country ) # Orders ( order_id, customer_id, date_order_placed, order_details ) # Invoices ( invoice_number, order_id, invoice_date ) # Accounts ( account_id, customer_id, date_account_opened, account_name, other_account_details ) # Product_Categories ( production_type_code, product_type_description, vat_rating ) # Products ( product_id, parent_product_id, production_type_code, unit_price, product_name, product_color, product_size ) # Financial_Transactions ( transaction_id, account_id, invoice_number, transaction_type, transaction_date, transaction_amount, transaction_comment, other_transaction_details ) # Order_Items ( order_item_id, order_id, product_id, product_quantity, other_order_item_details ) # Invoice_Line_Items ( order_item_id, invoice_number, product_id, product_title, product_quantity, product_price, derived_product_cost, derived_vat_payable, derived_total_cost ) # # Orders.customer_id can be joined with Customers.customer_id # Invoices.order_id can be joined with Orders.order_id # Accounts.customer_id can be joined with Customers.customer_id # Products.production_type_code can be joined with Product_Categories.production_type_code # Financial_Transactions.account_id can be joined with Accounts.account_id # Financial_Transactions.invoice_number can be joined with Invoices.invoice_number # Order_Items.order_id can be joined with Orders.order_id # Order_Items.product_id can be joined with Products.product_id # Invoice_Line_Items.product_id can be joined with Products.product_id # Invoice_Line_Items.invoice_number can be joined with Invoices.invoice_number # Invoice_Line_Items.order_item_id can be joined with Order_Items.order_item_id # ### Question: # # Count the number of products that were never ordered. # ### SQL: # # SELECT count(*) FROM products WHERE product_id NOT IN ( SELECT product_id FROM Order_items ) # ### End.
wedding	### Complete SQL query only and with no explanation ### SQL tables followed by foreign key information: # # people ( People_ID, Name, Country, Is_Male, Age ) # church ( Church_ID, Name, Organized_by, Open_Date, Continuation_of ) # wedding ( Church_ID, Male_ID, Female_ID, Year ) # # wedding.Female_ID can be joined with people.People_ID # wedding.Male_ID can be joined with people.People_ID # wedding.Church_ID can be joined with church.Church_ID # ### Question: # # How many churches opened before 1850 are there? # ### SQL: # # SELECT count(*) FROM Church WHERE Open_Date < 1850 # ### End.
wedding	### Complete SQL query only and with no explanation ### SQL tables followed by foreign key information: # # people ( People_ID, Name, Country, Is_Male, Age ) # church ( Church_ID, Name, Organized_by, Open_Date, Continuation_of ) # wedding ( Church_ID, Male_ID, Female_ID, Year ) # # wedding.Female_ID can be joined with people.People_ID # wedding.Male_ID can be joined with people.People_ID # wedding.Church_ID can be joined with church.Church_ID # ### Question: # # Show the name, open date, and organizer for all churches. # ### SQL: # # SELECT name , open_date , organized_by FROM Church # ### End.
wedding	### Complete SQL query only and with no explanation ### SQL tables followed by foreign key information: # # people ( People_ID, Name, Country, Is_Male, Age ) # church ( Church_ID, Name, Organized_by, Open_Date, Continuation_of ) # wedding ( Church_ID, Male_ID, Female_ID, Year ) # # wedding.Female_ID can be joined with people.People_ID # wedding.Male_ID can be joined with people.People_ID # wedding.Church_ID can be joined with church.Church_ID # ### Question: # # List all church names in descending order of opening date. # ### SQL: # # SELECT name FROM church ORDER BY open_date DESC # ### End.
wedding	### Complete SQL query only and with no explanation ### SQL tables followed by foreign key information: # # people ( People_ID, Name, Country, Is_Male, Age ) # church ( Church_ID, Name, Organized_by, Open_Date, Continuation_of ) # wedding ( Church_ID, Male_ID, Female_ID, Year ) # # wedding.Female_ID can be joined with people.People_ID # wedding.Male_ID can be joined with people.People_ID # wedding.Church_ID can be joined with church.Church_ID # ### Question: # # Show the opening year in whcih at least two churches opened. # ### SQL: # # SELECT open_date FROM church GROUP BY open_date HAVING count(*) >= 2 # ### End.
wedding	### Complete SQL query only and with no explanation ### SQL tables followed by foreign key information: # # people ( People_ID, Name, Country, Is_Male, Age ) # church ( Church_ID, Name, Organized_by, Open_Date, Continuation_of ) # wedding ( Church_ID, Male_ID, Female_ID, Year ) # # wedding.Female_ID can be joined with people.People_ID # wedding.Male_ID can be joined with people.People_ID # wedding.Church_ID can be joined with church.Church_ID # ### Question: # # Show the organizer and name for churches that opened between 1830 and 1840. # ### SQL: # # SELECT organized_by , name FROM church WHERE open_date BETWEEN 1830 AND 1840 # ### End.
wedding	### Complete SQL query only and with no explanation ### SQL tables followed by foreign key information: # # people ( People_ID, Name, Country, Is_Male, Age ) # church ( Church_ID, Name, Organized_by, Open_Date, Continuation_of ) # wedding ( Church_ID, Male_ID, Female_ID, Year ) # # wedding.Female_ID can be joined with people.People_ID # wedding.Male_ID can be joined with people.People_ID # wedding.Church_ID can be joined with church.Church_ID # ### Question: # # Show all opening years and the number of churches that opened in that year. # ### SQL: # # SELECT open_date , count(*) FROM church GROUP BY open_date # ### End.
wedding	### Complete SQL query only and with no explanation ### SQL tables followed by foreign key information: # # people ( People_ID, Name, Country, Is_Male, Age ) # church ( Church_ID, Name, Organized_by, Open_Date, Continuation_of ) # wedding ( Church_ID, Male_ID, Female_ID, Year ) # # wedding.Female_ID can be joined with people.People_ID # wedding.Male_ID can be joined with people.People_ID # wedding.Church_ID can be joined with church.Church_ID # ### Question: # # Show the name and opening year for three churches that opened most recently. # ### SQL: # # SELECT name , open_date FROM church ORDER BY open_date DESC LIMIT 3 # ### End.
wedding	### Complete SQL query only and with no explanation ### SQL tables followed by foreign key information: # # people ( People_ID, Name, Country, Is_Male, Age ) # church ( Church_ID, Name, Organized_by, Open_Date, Continuation_of ) # wedding ( Church_ID, Male_ID, Female_ID, Year ) # # wedding.Female_ID can be joined with people.People_ID # wedding.Male_ID can be joined with people.People_ID # wedding.Church_ID can be joined with church.Church_ID # ### Question: # # How many female people are older than 30 in our record? # ### SQL: # # SELECT count(*) FROM people WHERE is_male = 'F' AND age > 30 # ### End.
wedding	### Complete SQL query only and with no explanation ### SQL tables followed by foreign key information: # # people ( People_ID, Name, Country, Is_Male, Age ) # church ( Church_ID, Name, Organized_by, Open_Date, Continuation_of ) # wedding ( Church_ID, Male_ID, Female_ID, Year ) # # wedding.Female_ID can be joined with people.People_ID # wedding.Male_ID can be joined with people.People_ID # wedding.Church_ID can be joined with church.Church_ID # ### Question: # # Show the country where people older than 30 and younger than 25 are from. # ### SQL: # # SELECT country FROM people WHERE age < 25 INTERSECT SELECT country FROM people WHERE age > 30 # ### End.
wedding	### Complete SQL query only and with no explanation ### SQL tables followed by foreign key information: # # people ( People_ID, Name, Country, Is_Male, Age ) # church ( Church_ID, Name, Organized_by, Open_Date, Continuation_of ) # wedding ( Church_ID, Male_ID, Female_ID, Year ) # # wedding.Female_ID can be joined with people.People_ID # wedding.Male_ID can be joined with people.People_ID # wedding.Church_ID can be joined with church.Church_ID # ### Question: # # Show the minimum, maximum, and average age for all people. # ### SQL: # # SELECT min(age) , max(age) , avg(age) FROM people # ### End.
wedding	### Complete SQL query only and with no explanation ### SQL tables followed by foreign key information: # # people ( People_ID, Name, Country, Is_Male, Age ) # church ( Church_ID, Name, Organized_by, Open_Date, Continuation_of ) # wedding ( Church_ID, Male_ID, Female_ID, Year ) # # wedding.Female_ID can be joined with people.People_ID # wedding.Male_ID can be joined with people.People_ID # wedding.Church_ID can be joined with church.Church_ID # ### Question: # # Show the name and country for all people whose age is smaller than the average. # ### SQL: # # SELECT name , country FROM people WHERE age < (SELECT avg(age) FROM people) # ### End.
wedding	### Complete SQL query only and with no explanation ### SQL tables followed by foreign key information: # # people ( People_ID, Name, Country, Is_Male, Age ) # church ( Church_ID, Name, Organized_by, Open_Date, Continuation_of ) # wedding ( Church_ID, Male_ID, Female_ID, Year ) # # wedding.Female_ID can be joined with people.People_ID # wedding.Male_ID can be joined with people.People_ID # wedding.Church_ID can be joined with church.Church_ID # ### Question: # # Show the pair of male and female names in all weddings after year 2014 # ### SQL: # # SELECT T2.name , T3.name FROM wedding AS T1 JOIN people AS T2 ON T1.male_id = T2.people_id JOIN people AS T3 ON T1.female_id = T3.people_id WHERE T1.year > 2014 # ### End.
wedding	### Complete SQL query only and with no explanation ### SQL tables followed by foreign key information: # # people ( People_ID, Name, Country, Is_Male, Age ) # church ( Church_ID, Name, Organized_by, Open_Date, Continuation_of ) # wedding ( Church_ID, Male_ID, Female_ID, Year ) # # wedding.Female_ID can be joined with people.People_ID # wedding.Male_ID can be joined with people.People_ID # wedding.Church_ID can be joined with church.Church_ID # ### Question: # # Show the name and age for all male people who don't have a wedding. # ### SQL: # # SELECT name , age FROM people WHERE is_male = 'T' AND people_id NOT IN (SELECT male_id FROM wedding) # ### End.
wedding	### Complete SQL query only and with no explanation ### SQL tables followed by foreign key information: # # people ( People_ID, Name, Country, Is_Male, Age ) # church ( Church_ID, Name, Organized_by, Open_Date, Continuation_of ) # wedding ( Church_ID, Male_ID, Female_ID, Year ) # # wedding.Female_ID can be joined with people.People_ID # wedding.Male_ID can be joined with people.People_ID # wedding.Church_ID can be joined with church.Church_ID # ### Question: # # Show all church names except for those that had a wedding in year 2015. # ### SQL: # # SELECT name FROM church EXCEPT SELECT T1.name FROM church AS T1 JOIN wedding AS T2 ON T1.church_id = T2.church_id WHERE T2.year = 2015 # ### End.
wedding	### Complete SQL query only and with no explanation ### SQL tables followed by foreign key information: # # people ( People_ID, Name, Country, Is_Male, Age ) # church ( Church_ID, Name, Organized_by, Open_Date, Continuation_of ) # wedding ( Church_ID, Male_ID, Female_ID, Year ) # # wedding.Female_ID can be joined with people.People_ID # wedding.Male_ID can be joined with people.People_ID # wedding.Church_ID can be joined with church.Church_ID # ### Question: # # Show all church names that have hosted least two weddings. # ### SQL: # # SELECT T1.name FROM church AS T1 JOIN wedding AS T2 ON T1.church_id = T2.church_id GROUP BY T1.church_id HAVING count(*) >= 2 # ### End.
wedding	### Complete SQL query only and with no explanation ### SQL tables followed by foreign key information: # # people ( People_ID, Name, Country, Is_Male, Age ) # church ( Church_ID, Name, Organized_by, Open_Date, Continuation_of ) # wedding ( Church_ID, Male_ID, Female_ID, Year ) # # wedding.Female_ID can be joined with people.People_ID # wedding.Male_ID can be joined with people.People_ID # wedding.Church_ID can be joined with church.Church_ID # ### Question: # # Show the names for all females from Canada having a wedding in year 2016. # ### SQL: # # SELECT T2.name FROM wedding AS T1 JOIN people AS T2 ON T1.female_id = T2.people_id WHERE T1.year = 2016 AND T2.is_male = 'F' AND T2.country = 'Canada' # ### End.
wedding	### Complete SQL query only and with no explanation ### SQL tables followed by foreign key information: # # people ( People_ID, Name, Country, Is_Male, Age ) # church ( Church_ID, Name, Organized_by, Open_Date, Continuation_of ) # wedding ( Church_ID, Male_ID, Female_ID, Year ) # # wedding.Female_ID can be joined with people.People_ID # wedding.Male_ID can be joined with people.People_ID # wedding.Church_ID can be joined with church.Church_ID # ### Question: # # How many weddings are there in year 2016? # ### SQL: # # SELECT count(*) FROM wedding WHERE YEAR = 2016 # ### End.
wedding	### Complete SQL query only and with no explanation ### SQL tables followed by foreign key information: # # people ( People_ID, Name, Country, Is_Male, Age ) # church ( Church_ID, Name, Organized_by, Open_Date, Continuation_of ) # wedding ( Church_ID, Male_ID, Female_ID, Year ) # # wedding.Female_ID can be joined with people.People_ID # wedding.Male_ID can be joined with people.People_ID # wedding.Church_ID can be joined with church.Church_ID # ### Question: # # Show the church names for the weddings of all people older than 30. # ### SQL: # # SELECT T4.name FROM wedding AS T1 JOIN people AS T2 ON T1.male_id = T2.people_id JOIN people AS T3 ON T1.female_id = T3.people_id JOIN church AS T4 ON T4.church_id = T1.church_id WHERE T2.age > 30 OR T3.age > 30 # ### End.
wedding	### Complete SQL query only and with no explanation ### SQL tables followed by foreign key information: # # people ( People_ID, Name, Country, Is_Male, Age ) # church ( Church_ID, Name, Organized_by, Open_Date, Continuation_of ) # wedding ( Church_ID, Male_ID, Female_ID, Year ) # # wedding.Female_ID can be joined with people.People_ID # wedding.Male_ID can be joined with people.People_ID # wedding.Church_ID can be joined with church.Church_ID # ### Question: # # Show all countries and the number of people from each country. # ### SQL: # # SELECT country , count(*) FROM people GROUP BY country # ### End.
wedding	### Complete SQL query only and with no explanation ### SQL tables followed by foreign key information: # # people ( People_ID, Name, Country, Is_Male, Age ) # church ( Church_ID, Name, Organized_by, Open_Date, Continuation_of ) # wedding ( Church_ID, Male_ID, Female_ID, Year ) # # wedding.Female_ID can be joined with people.People_ID # wedding.Male_ID can be joined with people.People_ID # wedding.Church_ID can be joined with church.Church_ID # ### Question: # # How many churches have a wedding in year 2016? # ### SQL: # # SELECT COUNT (DISTINCT church_id) FROM wedding WHERE YEAR = 2016 # ### End.
theme_gallery	### Complete SQL query only and with no explanation ### SQL tables followed by foreign key information: # # artist ( Artist_ID, Name, Country, Year_Join, Age ) # exhibition ( Exhibition_ID, Year, Theme, Artist_ID, Ticket_Price ) # exhibition_record ( Exhibition_ID, Date, Attendance ) # # exhibition.Artist_ID can be joined with artist.Artist_ID # exhibition_record.Exhibition_ID can be joined with exhibition.Exhibition_ID # ### Question: # # How many artists do we have? # ### SQL: # # SELECT count(*) FROM artist # ### End.
theme_gallery	### Complete SQL query only and with no explanation ### SQL tables followed by foreign key information: # # artist ( Artist_ID, Name, Country, Year_Join, Age ) # exhibition ( Exhibition_ID, Year, Theme, Artist_ID, Ticket_Price ) # exhibition_record ( Exhibition_ID, Date, Attendance ) # # exhibition.Artist_ID can be joined with artist.Artist_ID # exhibition_record.Exhibition_ID can be joined with exhibition.Exhibition_ID # ### Question: # # Count the number of artists. # ### SQL: # # SELECT count(*) FROM artist # ### End.
theme_gallery	### Complete SQL query only and with no explanation ### SQL tables followed by foreign key information: # # artist ( Artist_ID, Name, Country, Year_Join, Age ) # exhibition ( Exhibition_ID, Year, Theme, Artist_ID, Ticket_Price ) # exhibition_record ( Exhibition_ID, Date, Attendance ) # # exhibition.Artist_ID can be joined with artist.Artist_ID # exhibition_record.Exhibition_ID can be joined with exhibition.Exhibition_ID # ### Question: # # Show all artist name, age, and country ordered by the yeared they joined. # ### SQL: # # SELECT name , age , country FROM artist ORDER BY Year_Join # ### End.
theme_gallery	### Complete SQL query only and with no explanation ### SQL tables followed by foreign key information: # # artist ( Artist_ID, Name, Country, Year_Join, Age ) # exhibition ( Exhibition_ID, Year, Theme, Artist_ID, Ticket_Price ) # exhibition_record ( Exhibition_ID, Date, Attendance ) # # exhibition.Artist_ID can be joined with artist.Artist_ID # exhibition_record.Exhibition_ID can be joined with exhibition.Exhibition_ID # ### Question: # # What are the names, ages, and countries of artists, sorted by the year they joined? # ### SQL: # # SELECT name , age , country FROM artist ORDER BY Year_Join # ### End.
theme_gallery	### Complete SQL query only and with no explanation ### SQL tables followed by foreign key information: # # artist ( Artist_ID, Name, Country, Year_Join, Age ) # exhibition ( Exhibition_ID, Year, Theme, Artist_ID, Ticket_Price ) # exhibition_record ( Exhibition_ID, Date, Attendance ) # # exhibition.Artist_ID can be joined with artist.Artist_ID # exhibition_record.Exhibition_ID can be joined with exhibition.Exhibition_ID # ### Question: # # What are all distinct country for artists? # ### SQL: # # SELECT DISTINCT country FROM artist # ### End.
theme_gallery	### Complete SQL query only and with no explanation ### SQL tables followed by foreign key information: # # artist ( Artist_ID, Name, Country, Year_Join, Age ) # exhibition ( Exhibition_ID, Year, Theme, Artist_ID, Ticket_Price ) # exhibition_record ( Exhibition_ID, Date, Attendance ) # # exhibition.Artist_ID can be joined with artist.Artist_ID # exhibition_record.Exhibition_ID can be joined with exhibition.Exhibition_ID # ### Question: # # Return the different countries for artists. # ### SQL: # # SELECT DISTINCT country FROM artist # ### End.
theme_gallery	### Complete SQL query only and with no explanation ### SQL tables followed by foreign key information: # # artist ( Artist_ID, Name, Country, Year_Join, Age ) # exhibition ( Exhibition_ID, Year, Theme, Artist_ID, Ticket_Price ) # exhibition_record ( Exhibition_ID, Date, Attendance ) # # exhibition.Artist_ID can be joined with artist.Artist_ID # exhibition_record.Exhibition_ID can be joined with exhibition.Exhibition_ID # ### Question: # # Show all artist names and the year joined who are not from United States. # ### SQL: # # SELECT name , year_join FROM artist WHERE country != 'United States' # ### End.
theme_gallery	### Complete SQL query only and with no explanation ### SQL tables followed by foreign key information: # # artist ( Artist_ID, Name, Country, Year_Join, Age ) # exhibition ( Exhibition_ID, Year, Theme, Artist_ID, Ticket_Price ) # exhibition_record ( Exhibition_ID, Date, Attendance ) # # exhibition.Artist_ID can be joined with artist.Artist_ID # exhibition_record.Exhibition_ID can be joined with exhibition.Exhibition_ID # ### Question: # # What are the names and year of joining for artists that do not have the country "United States"? # ### SQL: # # SELECT name , year_join FROM artist WHERE country != 'United States' # ### End.
theme_gallery	### Complete SQL query only and with no explanation ### SQL tables followed by foreign key information: # # artist ( Artist_ID, Name, Country, Year_Join, Age ) # exhibition ( Exhibition_ID, Year, Theme, Artist_ID, Ticket_Price ) # exhibition_record ( Exhibition_ID, Date, Attendance ) # # exhibition.Artist_ID can be joined with artist.Artist_ID # exhibition_record.Exhibition_ID can be joined with exhibition.Exhibition_ID # ### Question: # # How many artists are above age 46 and joined after 1990? # ### SQL: # # SELECT count(*) FROM artist WHERE age > 46 AND year_join > 1990 # ### End.
theme_gallery	### Complete SQL query only and with no explanation ### SQL tables followed by foreign key information: # # artist ( Artist_ID, Name, Country, Year_Join, Age ) # exhibition ( Exhibition_ID, Year, Theme, Artist_ID, Ticket_Price ) # exhibition_record ( Exhibition_ID, Date, Attendance ) # # exhibition.Artist_ID can be joined with artist.Artist_ID # exhibition_record.Exhibition_ID can be joined with exhibition.Exhibition_ID # ### Question: # # Count the number of artists who are older than 46 and joined after 1990. # ### SQL: # # SELECT count(*) FROM artist WHERE age > 46 AND year_join > 1990 # ### End.
theme_gallery	### Complete SQL query only and with no explanation ### SQL tables followed by foreign key information: # # artist ( Artist_ID, Name, Country, Year_Join, Age ) # exhibition ( Exhibition_ID, Year, Theme, Artist_ID, Ticket_Price ) # exhibition_record ( Exhibition_ID, Date, Attendance ) # # exhibition.Artist_ID can be joined with artist.Artist_ID # exhibition_record.Exhibition_ID can be joined with exhibition.Exhibition_ID # ### Question: # # What is the average and minimum age of all artists from United States. # ### SQL: # # SELECT avg(age) , min(age) FROM artist WHERE country = 'United States' # ### End.
theme_gallery	### Complete SQL query only and with no explanation ### SQL tables followed by foreign key information: # # artist ( Artist_ID, Name, Country, Year_Join, Age ) # exhibition ( Exhibition_ID, Year, Theme, Artist_ID, Ticket_Price ) # exhibition_record ( Exhibition_ID, Date, Attendance ) # # exhibition.Artist_ID can be joined with artist.Artist_ID # exhibition_record.Exhibition_ID can be joined with exhibition.Exhibition_ID # ### Question: # # Return the average and minimum ages across artists from the United States. # ### SQL: # # SELECT avg(age) , min(age) FROM artist WHERE country = 'United States' # ### End.
theme_gallery	### Complete SQL query only and with no explanation ### SQL tables followed by foreign key information: # # artist ( Artist_ID, Name, Country, Year_Join, Age ) # exhibition ( Exhibition_ID, Year, Theme, Artist_ID, Ticket_Price ) # exhibition_record ( Exhibition_ID, Date, Attendance ) # # exhibition.Artist_ID can be joined with artist.Artist_ID # exhibition_record.Exhibition_ID can be joined with exhibition.Exhibition_ID # ### Question: # # What is the name of the artist who joined latest? # ### SQL: # # SELECT name FROM artist ORDER BY year_join DESC LIMIT 1 # ### End.
theme_gallery	### Complete SQL query only and with no explanation ### SQL tables followed by foreign key information: # # artist ( Artist_ID, Name, Country, Year_Join, Age ) # exhibition ( Exhibition_ID, Year, Theme, Artist_ID, Ticket_Price ) # exhibition_record ( Exhibition_ID, Date, Attendance ) # # exhibition.Artist_ID can be joined with artist.Artist_ID # exhibition_record.Exhibition_ID can be joined with exhibition.Exhibition_ID # ### Question: # # Return the name of the artist who has the latest join year. # ### SQL: # # SELECT name FROM artist ORDER BY year_join DESC LIMIT 1 # ### End.
theme_gallery	### Complete SQL query only and with no explanation ### SQL tables followed by foreign key information: # # artist ( Artist_ID, Name, Country, Year_Join, Age ) # exhibition ( Exhibition_ID, Year, Theme, Artist_ID, Ticket_Price ) # exhibition_record ( Exhibition_ID, Date, Attendance ) # # exhibition.Artist_ID can be joined with artist.Artist_ID # exhibition_record.Exhibition_ID can be joined with exhibition.Exhibition_ID # ### Question: # # How many exhibition are there in year 2005 or after? # ### SQL: # # SELECT count(*) FROM exhibition WHERE YEAR >= 2005 # ### End.
theme_gallery	### Complete SQL query only and with no explanation ### SQL tables followed by foreign key information: # # artist ( Artist_ID, Name, Country, Year_Join, Age ) # exhibition ( Exhibition_ID, Year, Theme, Artist_ID, Ticket_Price ) # exhibition_record ( Exhibition_ID, Date, Attendance ) # # exhibition.Artist_ID can be joined with artist.Artist_ID # exhibition_record.Exhibition_ID can be joined with exhibition.Exhibition_ID # ### Question: # # Count the number of exhibitions that happened in or after 2005. # ### SQL: # # SELECT count(*) FROM exhibition WHERE YEAR >= 2005 # ### End.
theme_gallery	### Complete SQL query only and with no explanation ### SQL tables followed by foreign key information: # # artist ( Artist_ID, Name, Country, Year_Join, Age ) # exhibition ( Exhibition_ID, Year, Theme, Artist_ID, Ticket_Price ) # exhibition_record ( Exhibition_ID, Date, Attendance ) # # exhibition.Artist_ID can be joined with artist.Artist_ID # exhibition_record.Exhibition_ID can be joined with exhibition.Exhibition_ID # ### Question: # # Show theme and year for all exhibitions with ticket prices lower than 15. # ### SQL: # # SELECT theme , YEAR FROM exhibition WHERE ticket_price < 15 # ### End.
theme_gallery	### Complete SQL query only and with no explanation ### SQL tables followed by foreign key information: # # artist ( Artist_ID, Name, Country, Year_Join, Age ) # exhibition ( Exhibition_ID, Year, Theme, Artist_ID, Ticket_Price ) # exhibition_record ( Exhibition_ID, Date, Attendance ) # # exhibition.Artist_ID can be joined with artist.Artist_ID # exhibition_record.Exhibition_ID can be joined with exhibition.Exhibition_ID # ### Question: # # What are the theme and year for all exhibitions that have a ticket price under 15? # ### SQL: # # SELECT theme , YEAR FROM exhibition WHERE ticket_price < 15 # ### End.
theme_gallery	### Complete SQL query only and with no explanation ### SQL tables followed by foreign key information: # # artist ( Artist_ID, Name, Country, Year_Join, Age ) # exhibition ( Exhibition_ID, Year, Theme, Artist_ID, Ticket_Price ) # exhibition_record ( Exhibition_ID, Date, Attendance ) # # exhibition.Artist_ID can be joined with artist.Artist_ID # exhibition_record.Exhibition_ID can be joined with exhibition.Exhibition_ID # ### Question: # # Show all artist names and the number of exhibitions for each artist. # ### SQL: # # SELECT T2.name , count(*) FROM exhibition AS T1 JOIN artist AS T2 ON T1.artist_id = T2.artist_id GROUP BY T1.artist_id # ### End.
theme_gallery	### Complete SQL query only and with no explanation ### SQL tables followed by foreign key information: # # artist ( Artist_ID, Name, Country, Year_Join, Age ) # exhibition ( Exhibition_ID, Year, Theme, Artist_ID, Ticket_Price ) # exhibition_record ( Exhibition_ID, Date, Attendance ) # # exhibition.Artist_ID can be joined with artist.Artist_ID # exhibition_record.Exhibition_ID can be joined with exhibition.Exhibition_ID # ### Question: # # How many exhibitions has each artist had? # ### SQL: # # SELECT T2.name , count(*) FROM exhibition AS T1 JOIN artist AS T2 ON T1.artist_id = T2.artist_id GROUP BY T1.artist_id # ### End.
theme_gallery	### Complete SQL query only and with no explanation ### SQL tables followed by foreign key information: # # artist ( Artist_ID, Name, Country, Year_Join, Age ) # exhibition ( Exhibition_ID, Year, Theme, Artist_ID, Ticket_Price ) # exhibition_record ( Exhibition_ID, Date, Attendance ) # # exhibition.Artist_ID can be joined with artist.Artist_ID # exhibition_record.Exhibition_ID can be joined with exhibition.Exhibition_ID # ### Question: # # What is the name and country for the artist with most number of exhibitions? # ### SQL: # # SELECT T2.name , T2.country FROM exhibition AS T1 JOIN artist AS T2 ON T1.artist_id = T2.artist_id GROUP BY T1.artist_id ORDER BY count(*) DESC LIMIT 1 # ### End.
theme_gallery	### Complete SQL query only and with no explanation ### SQL tables followed by foreign key information: # # artist ( Artist_ID, Name, Country, Year_Join, Age ) # exhibition ( Exhibition_ID, Year, Theme, Artist_ID, Ticket_Price ) # exhibition_record ( Exhibition_ID, Date, Attendance ) # # exhibition.Artist_ID can be joined with artist.Artist_ID # exhibition_record.Exhibition_ID can be joined with exhibition.Exhibition_ID # ### Question: # # Return the name and country corresponding to the artist who has had the most exhibitions. # ### SQL: # # SELECT T2.name , T2.country FROM exhibition AS T1 JOIN artist AS T2 ON T1.artist_id = T2.artist_id GROUP BY T1.artist_id ORDER BY count(*) DESC LIMIT 1 # ### End.
theme_gallery	### Complete SQL query only and with no explanation ### SQL tables followed by foreign key information: # # artist ( Artist_ID, Name, Country, Year_Join, Age ) # exhibition ( Exhibition_ID, Year, Theme, Artist_ID, Ticket_Price ) # exhibition_record ( Exhibition_ID, Date, Attendance ) # # exhibition.Artist_ID can be joined with artist.Artist_ID # exhibition_record.Exhibition_ID can be joined with exhibition.Exhibition_ID # ### Question: # # Show names for artists without any exhibition. # ### SQL: # # SELECT name FROM artist WHERE artist_id NOT IN (SELECT artist_id FROM exhibition) # ### End.
theme_gallery	### Complete SQL query only and with no explanation ### SQL tables followed by foreign key information: # # artist ( Artist_ID, Name, Country, Year_Join, Age ) # exhibition ( Exhibition_ID, Year, Theme, Artist_ID, Ticket_Price ) # exhibition_record ( Exhibition_ID, Date, Attendance ) # # exhibition.Artist_ID can be joined with artist.Artist_ID # exhibition_record.Exhibition_ID can be joined with exhibition.Exhibition_ID # ### Question: # # What are the names of artists that have not had any exhibitions? # ### SQL: # # SELECT name FROM artist WHERE artist_id NOT IN (SELECT artist_id FROM exhibition) # ### End.
theme_gallery	### Complete SQL query only and with no explanation ### SQL tables followed by foreign key information: # # artist ( Artist_ID, Name, Country, Year_Join, Age ) # exhibition ( Exhibition_ID, Year, Theme, Artist_ID, Ticket_Price ) # exhibition_record ( Exhibition_ID, Date, Attendance ) # # exhibition.Artist_ID can be joined with artist.Artist_ID # exhibition_record.Exhibition_ID can be joined with exhibition.Exhibition_ID # ### Question: # # What is the theme and artist name for the exhibition with a ticket price higher than the average? # ### SQL: # # SELECT T1.theme , T2.name FROM exhibition AS T1 JOIN artist AS T2 ON T1.artist_id = T2.artist_id WHERE T1.ticket_price > (SELECT avg(ticket_price) FROM exhibition) # ### End.
theme_gallery	### Complete SQL query only and with no explanation ### SQL tables followed by foreign key information: # # artist ( Artist_ID, Name, Country, Year_Join, Age ) # exhibition ( Exhibition_ID, Year, Theme, Artist_ID, Ticket_Price ) # exhibition_record ( Exhibition_ID, Date, Attendance ) # # exhibition.Artist_ID can be joined with artist.Artist_ID # exhibition_record.Exhibition_ID can be joined with exhibition.Exhibition_ID # ### Question: # # Return the names of artists and the themes of their exhibitions that had a ticket price higher than average. # ### SQL: # # SELECT T1.theme , T2.name FROM exhibition AS T1 JOIN artist AS T2 ON T1.artist_id = T2.artist_id WHERE T1.ticket_price > (SELECT avg(ticket_price) FROM exhibition) # ### End.
theme_gallery	### Complete SQL query only and with no explanation ### SQL tables followed by foreign key information: # # artist ( Artist_ID, Name, Country, Year_Join, Age ) # exhibition ( Exhibition_ID, Year, Theme, Artist_ID, Ticket_Price ) # exhibition_record ( Exhibition_ID, Date, Attendance ) # # exhibition.Artist_ID can be joined with artist.Artist_ID # exhibition_record.Exhibition_ID can be joined with exhibition.Exhibition_ID # ### Question: # # Show the average, minimum, and maximum ticket prices for exhibitions for all years before 2009. # ### SQL: # # SELECT avg(ticket_price) , min(ticket_price) , max(ticket_price) FROM exhibition WHERE YEAR < 2009 # ### End.
theme_gallery	### Complete SQL query only and with no explanation ### SQL tables followed by foreign key information: # # artist ( Artist_ID, Name, Country, Year_Join, Age ) # exhibition ( Exhibition_ID, Year, Theme, Artist_ID, Ticket_Price ) # exhibition_record ( Exhibition_ID, Date, Attendance ) # # exhibition.Artist_ID can be joined with artist.Artist_ID # exhibition_record.Exhibition_ID can be joined with exhibition.Exhibition_ID # ### Question: # # What are the average, minimum, and maximum ticket prices for exhibitions that happened prior to 2009? # ### SQL: # # SELECT avg(ticket_price) , min(ticket_price) , max(ticket_price) FROM exhibition WHERE YEAR < 2009 # ### End.
theme_gallery	### Complete SQL query only and with no explanation ### SQL tables followed by foreign key information: # # artist ( Artist_ID, Name, Country, Year_Join, Age ) # exhibition ( Exhibition_ID, Year, Theme, Artist_ID, Ticket_Price ) # exhibition_record ( Exhibition_ID, Date, Attendance ) # # exhibition.Artist_ID can be joined with artist.Artist_ID # exhibition_record.Exhibition_ID can be joined with exhibition.Exhibition_ID # ### Question: # # Show theme and year for all exhibitions in an descending order of ticket price. # ### SQL: # # SELECT theme , YEAR FROM exhibition ORDER BY ticket_price DESC # ### End.
theme_gallery	### Complete SQL query only and with no explanation ### SQL tables followed by foreign key information: # # artist ( Artist_ID, Name, Country, Year_Join, Age ) # exhibition ( Exhibition_ID, Year, Theme, Artist_ID, Ticket_Price ) # exhibition_record ( Exhibition_ID, Date, Attendance ) # # exhibition.Artist_ID can be joined with artist.Artist_ID # exhibition_record.Exhibition_ID can be joined with exhibition.Exhibition_ID # ### Question: # # What are the themes and years for exhibitions, sorted by ticket price descending? # ### SQL: # # SELECT theme , YEAR FROM exhibition ORDER BY ticket_price DESC # ### End.
theme_gallery	### Complete SQL query only and with no explanation ### SQL tables followed by foreign key information: # # artist ( Artist_ID, Name, Country, Year_Join, Age ) # exhibition ( Exhibition_ID, Year, Theme, Artist_ID, Ticket_Price ) # exhibition_record ( Exhibition_ID, Date, Attendance ) # # exhibition.Artist_ID can be joined with artist.Artist_ID # exhibition_record.Exhibition_ID can be joined with exhibition.Exhibition_ID # ### Question: # # What is the theme, date, and attendance for the exhibition in year 2004? # ### SQL: # # SELECT T2.theme , T1.date , T1.attendance FROM exhibition_record AS T1 JOIN exhibition AS T2 ON T1.exhibition_id = T2.exhibition_id WHERE T2.year = 2004 # ### End.
theme_gallery	### Complete SQL query only and with no explanation ### SQL tables followed by foreign key information: # # artist ( Artist_ID, Name, Country, Year_Join, Age ) # exhibition ( Exhibition_ID, Year, Theme, Artist_ID, Ticket_Price ) # exhibition_record ( Exhibition_ID, Date, Attendance ) # # exhibition.Artist_ID can be joined with artist.Artist_ID # exhibition_record.Exhibition_ID can be joined with exhibition.Exhibition_ID # ### Question: # # Return the themes, dates, and attendance for exhibitions that happened in 2004. # ### SQL: # # SELECT T2.theme , T1.date , T1.attendance FROM exhibition_record AS T1 JOIN exhibition AS T2 ON T1.exhibition_id = T2.exhibition_id WHERE T2.year = 2004 # ### End.
theme_gallery	### Complete SQL query only and with no explanation ### SQL tables followed by foreign key information: # # artist ( Artist_ID, Name, Country, Year_Join, Age ) # exhibition ( Exhibition_ID, Year, Theme, Artist_ID, Ticket_Price ) # exhibition_record ( Exhibition_ID, Date, Attendance ) # # exhibition.Artist_ID can be joined with artist.Artist_ID # exhibition_record.Exhibition_ID can be joined with exhibition.Exhibition_ID # ### Question: # # Show all artist names who didn't have an exhibition in 2004. # ### SQL: # # SELECT name FROM artist EXCEPT SELECT T2.name FROM exhibition AS T1 JOIN artist AS T2 ON T1.artist_id = T2.artist_id WHERE T1.year = 2004 # ### End.
theme_gallery	### Complete SQL query only and with no explanation ### SQL tables followed by foreign key information: # # artist ( Artist_ID, Name, Country, Year_Join, Age ) # exhibition ( Exhibition_ID, Year, Theme, Artist_ID, Ticket_Price ) # exhibition_record ( Exhibition_ID, Date, Attendance ) # # exhibition.Artist_ID can be joined with artist.Artist_ID # exhibition_record.Exhibition_ID can be joined with exhibition.Exhibition_ID # ### Question: # # What are the names of artists who did not have an exhibition in 2004? # ### SQL: # # SELECT name FROM artist EXCEPT SELECT T2.name FROM exhibition AS T1 JOIN artist AS T2 ON T1.artist_id = T2.artist_id WHERE T1.year = 2004 # ### End.
theme_gallery	### Complete SQL query only and with no explanation ### SQL tables followed by foreign key information: # # artist ( Artist_ID, Name, Country, Year_Join, Age ) # exhibition ( Exhibition_ID, Year, Theme, Artist_ID, Ticket_Price ) # exhibition_record ( Exhibition_ID, Date, Attendance ) # # exhibition.Artist_ID can be joined with artist.Artist_ID # exhibition_record.Exhibition_ID can be joined with exhibition.Exhibition_ID # ### Question: # # Show the theme for exhibitions with both records of an attendance below 100 and above 500. # ### SQL: # # SELECT T2.theme FROM exhibition_record AS T1 JOIN exhibition AS T2 ON T1.exhibition_id = T2.exhibition_id WHERE T1.attendance < 100 INTERSECT SELECT T2.theme FROM exhibition_record AS T1 JOIN exhibition AS T2 ON T1.exhibition_id = T2.exhibition_id WHERE T1.attendance > 500 # ### End.
theme_gallery	### Complete SQL query only and with no explanation ### SQL tables followed by foreign key information: # # artist ( Artist_ID, Name, Country, Year_Join, Age ) # exhibition ( Exhibition_ID, Year, Theme, Artist_ID, Ticket_Price ) # exhibition_record ( Exhibition_ID, Date, Attendance ) # # exhibition.Artist_ID can be joined with artist.Artist_ID # exhibition_record.Exhibition_ID can be joined with exhibition.Exhibition_ID # ### Question: # # Which themes have had corresponding exhibitions that have had attendance both below 100 and above 500? # ### SQL: # # SELECT T2.theme FROM exhibition_record AS T1 JOIN exhibition AS T2 ON T1.exhibition_id = T2.exhibition_id WHERE T1.attendance < 100 INTERSECT SELECT T2.theme FROM exhibition_record AS T1 JOIN exhibition AS T2 ON T1.exhibition_id = T2.exhibition_id WHERE T1.attendance > 500 # ### End.
theme_gallery	### Complete SQL query only and with no explanation ### SQL tables followed by foreign key information: # # artist ( Artist_ID, Name, Country, Year_Join, Age ) # exhibition ( Exhibition_ID, Year, Theme, Artist_ID, Ticket_Price ) # exhibition_record ( Exhibition_ID, Date, Attendance ) # # exhibition.Artist_ID can be joined with artist.Artist_ID # exhibition_record.Exhibition_ID can be joined with exhibition.Exhibition_ID # ### Question: # # How many exhibitions have a attendance more than 100 or have a ticket price below 10? # ### SQL: # # SELECT count(*) FROM exhibition_record AS T1 JOIN exhibition AS T2 ON T1.exhibition_id = T2.exhibition_id WHERE T1.attendance > 100 OR T2.ticket_price < 10 # ### End.
theme_gallery	### Complete SQL query only and with no explanation ### SQL tables followed by foreign key information: # # artist ( Artist_ID, Name, Country, Year_Join, Age ) # exhibition ( Exhibition_ID, Year, Theme, Artist_ID, Ticket_Price ) # exhibition_record ( Exhibition_ID, Date, Attendance ) # # exhibition.Artist_ID can be joined with artist.Artist_ID # exhibition_record.Exhibition_ID can be joined with exhibition.Exhibition_ID # ### Question: # # Count the number of exhibitions that have had an attendnance of over 100 or a ticket prices under 10. # ### SQL: # # SELECT count(*) FROM exhibition_record AS T1 JOIN exhibition AS T2 ON T1.exhibition_id = T2.exhibition_id WHERE T1.attendance > 100 OR T2.ticket_price < 10 # ### End.
theme_gallery	### Complete SQL query only and with no explanation ### SQL tables followed by foreign key information: # # artist ( Artist_ID, Name, Country, Year_Join, Age ) # exhibition ( Exhibition_ID, Year, Theme, Artist_ID, Ticket_Price ) # exhibition_record ( Exhibition_ID, Date, Attendance ) # # exhibition.Artist_ID can be joined with artist.Artist_ID # exhibition_record.Exhibition_ID can be joined with exhibition.Exhibition_ID # ### Question: # # Show all artist names with an average exhibition attendance over 200. # ### SQL: # # SELECT T3.name FROM exhibition_record AS T1 JOIN exhibition AS T2 ON T1.exhibition_id = T2.exhibition_id JOIN artist AS T3 ON T3.artist_id = T2.artist_id GROUP BY T3.artist_id HAVING avg(T1.attendance) > 200 # ### End.
theme_gallery	### Complete SQL query only and with no explanation ### SQL tables followed by foreign key information: # # artist ( Artist_ID, Name, Country, Year_Join, Age ) # exhibition ( Exhibition_ID, Year, Theme, Artist_ID, Ticket_Price ) # exhibition_record ( Exhibition_ID, Date, Attendance ) # # exhibition.Artist_ID can be joined with artist.Artist_ID # exhibition_record.Exhibition_ID can be joined with exhibition.Exhibition_ID # ### Question: # # What are the names of artist whose exhibitions draw over 200 attendees on average? # ### SQL: # # SELECT T3.name FROM exhibition_record AS T1 JOIN exhibition AS T2 ON T1.exhibition_id = T2.exhibition_id JOIN artist AS T3 ON T3.artist_id = T2.artist_id GROUP BY T3.artist_id HAVING avg(T1.attendance) > 200 # ### End.
epinions_1	### Complete SQL query only and with no explanation ### SQL tables followed by foreign key information: # # item ( i_id, title ) # review ( a_id, u_id, i_id, rating, rank ) # useracct ( u_id, name ) # trust ( source_u_id, target_u_id, trust ) # # review.i_id can be joined with item.i_id # review.u_id can be joined with useracct.u_id # trust.target_u_id can be joined with useracct.u_id # trust.source_u_id can be joined with useracct.u_id # ### Question: # # Find the id of the item whose title is "orange". # ### SQL: # # SELECT i_id FROM item WHERE title = "orange" # ### End.
epinions_1	### Complete SQL query only and with no explanation ### SQL tables followed by foreign key information: # # item ( i_id, title ) # review ( a_id, u_id, i_id, rating, rank ) # useracct ( u_id, name ) # trust ( source_u_id, target_u_id, trust ) # # review.i_id can be joined with item.i_id # review.u_id can be joined with useracct.u_id # trust.target_u_id can be joined with useracct.u_id # trust.source_u_id can be joined with useracct.u_id # ### Question: # # List all information in the item table. # ### SQL: # # SELECT * FROM item # ### End.
epinions_1	### Complete SQL query only and with no explanation ### SQL tables followed by foreign key information: # # item ( i_id, title ) # review ( a_id, u_id, i_id, rating, rank ) # useracct ( u_id, name ) # trust ( source_u_id, target_u_id, trust ) # # review.i_id can be joined with item.i_id # review.u_id can be joined with useracct.u_id # trust.target_u_id can be joined with useracct.u_id # trust.source_u_id can be joined with useracct.u_id # ### Question: # # Find the number of reviews. # ### SQL: # # SELECT count(*) FROM review # ### End.
epinions_1	### Complete SQL query only and with no explanation ### SQL tables followed by foreign key information: # # item ( i_id, title ) # review ( a_id, u_id, i_id, rating, rank ) # useracct ( u_id, name ) # trust ( source_u_id, target_u_id, trust ) # # review.i_id can be joined with item.i_id # review.u_id can be joined with useracct.u_id # trust.target_u_id can be joined with useracct.u_id # trust.source_u_id can be joined with useracct.u_id # ### Question: # # How many users are there? # ### SQL: # # SELECT count(*) FROM useracct # ### End.
epinions_1	### Complete SQL query only and with no explanation ### SQL tables followed by foreign key information: # # item ( i_id, title ) # review ( a_id, u_id, i_id, rating, rank ) # useracct ( u_id, name ) # trust ( source_u_id, target_u_id, trust ) # # review.i_id can be joined with item.i_id # review.u_id can be joined with useracct.u_id # trust.target_u_id can be joined with useracct.u_id # trust.source_u_id can be joined with useracct.u_id # ### Question: # # Find the average and maximum rating of all reviews. # ### SQL: # # SELECT avg(rating) , max(rating) FROM review # ### End.
epinions_1	### Complete SQL query only and with no explanation ### SQL tables followed by foreign key information: # # item ( i_id, title ) # review ( a_id, u_id, i_id, rating, rank ) # useracct ( u_id, name ) # trust ( source_u_id, target_u_id, trust ) # # review.i_id can be joined with item.i_id # review.u_id can be joined with useracct.u_id # trust.target_u_id can be joined with useracct.u_id # trust.source_u_id can be joined with useracct.u_id # ### Question: # # Find the highest rank of all reviews. # ### SQL: # # SELECT min(rank) FROM review # ### End.
epinions_1	### Complete SQL query only and with no explanation ### SQL tables followed by foreign key information: # # item ( i_id, title ) # review ( a_id, u_id, i_id, rating, rank ) # useracct ( u_id, name ) # trust ( source_u_id, target_u_id, trust ) # # review.i_id can be joined with item.i_id # review.u_id can be joined with useracct.u_id # trust.target_u_id can be joined with useracct.u_id # trust.source_u_id can be joined with useracct.u_id # ### Question: # # How many different users wrote some reviews? # ### SQL: # # SELECT count(DISTINCT u_id) FROM review # ### End.
epinions_1	### Complete SQL query only and with no explanation ### SQL tables followed by foreign key information: # # item ( i_id, title ) # review ( a_id, u_id, i_id, rating, rank ) # useracct ( u_id, name ) # trust ( source_u_id, target_u_id, trust ) # # review.i_id can be joined with item.i_id # review.u_id can be joined with useracct.u_id # trust.target_u_id can be joined with useracct.u_id # trust.source_u_id can be joined with useracct.u_id # ### Question: # # How many different items were reviewed by some users? # ### SQL: # # SELECT count(DISTINCT i_id) FROM review # ### End.
epinions_1	### Complete SQL query only and with no explanation ### SQL tables followed by foreign key information: # # item ( i_id, title ) # review ( a_id, u_id, i_id, rating, rank ) # useracct ( u_id, name ) # trust ( source_u_id, target_u_id, trust ) # # review.i_id can be joined with item.i_id # review.u_id can be joined with useracct.u_id # trust.target_u_id can be joined with useracct.u_id # trust.source_u_id can be joined with useracct.u_id # ### Question: # # Find the number of items that did not receive any review. # ### SQL: # # SELECT count(*) FROM item WHERE i_id NOT IN (SELECT i_id FROM review) # ### End.
epinions_1	### Complete SQL query only and with no explanation ### SQL tables followed by foreign key information: # # item ( i_id, title ) # review ( a_id, u_id, i_id, rating, rank ) # useracct ( u_id, name ) # trust ( source_u_id, target_u_id, trust ) # # review.i_id can be joined with item.i_id # review.u_id can be joined with useracct.u_id # trust.target_u_id can be joined with useracct.u_id # trust.source_u_id can be joined with useracct.u_id # ### Question: # # Find the names of users who did not leave any review. # ### SQL: # # SELECT name FROM useracct WHERE u_id NOT IN (SELECT u_id FROM review) # ### End.
epinions_1	### Complete SQL query only and with no explanation ### SQL tables followed by foreign key information: # # item ( i_id, title ) # review ( a_id, u_id, i_id, rating, rank ) # useracct ( u_id, name ) # trust ( source_u_id, target_u_id, trust ) # # review.i_id can be joined with item.i_id # review.u_id can be joined with useracct.u_id # trust.target_u_id can be joined with useracct.u_id # trust.source_u_id can be joined with useracct.u_id # ### Question: # # Find the names of goods that receive a rating of 10. # ### SQL: # # SELECT T1.title FROM item AS T1 JOIN review AS T2 ON T1.i_id = T2.i_id WHERE T2.rating = 10 # ### End.

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