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