Split (2)

train · 8.66k rows

db_name stringclasses 146 values	prompt stringlengths 310 4.81k
customer_complaints	### Complete SQL query only and with no explanation ### SQL tables followed by foreign key information: # # Staff ( staff_id, gender, first_name, last_name, email_address, phone_number ) # Customers ( customer_id, customer_type_code, address_line_1, address_line_2, town_city, state, email_address, phone_number ) # Products ( product_id, parent_product_id, product_category_code, date_product_first_available, date_product_discontinued, product_name, product_description, product_price ) # Complaints ( complaint_id, product_id, customer_id, complaint_outcome_code, complaint_status_code, complaint_type_code, date_complaint_raised, date_complaint_closed, staff_id ) # # Complaints.customer_id can be joined with Customers.customer_id # Complaints.product_id can be joined with Products.product_id # Complaints.staff_id can be joined with Staff.staff_id # ### Question: # # How many customers are there in the customer type with the most customers? # ### SQL: # # SELECT count() FROM customers GROUP BY customer_type_code ORDER BY count() DESC LIMIT 1 # ### End.
customer_complaints	### Complete SQL query only and with no explanation ### SQL tables followed by foreign key information: # # Staff ( staff_id, gender, first_name, last_name, email_address, phone_number ) # Customers ( customer_id, customer_type_code, address_line_1, address_line_2, town_city, state, email_address, phone_number ) # Products ( product_id, parent_product_id, product_category_code, date_product_first_available, date_product_discontinued, product_name, product_description, product_price ) # Complaints ( complaint_id, product_id, customer_id, complaint_outcome_code, complaint_status_code, complaint_type_code, date_complaint_raised, date_complaint_closed, staff_id ) # # Complaints.customer_id can be joined with Customers.customer_id # Complaints.product_id can be joined with Products.product_id # Complaints.staff_id can be joined with Staff.staff_id # ### Question: # # Count the number of customers that have the customer type that is most common. # ### SQL: # # SELECT count() FROM customers GROUP BY customer_type_code ORDER BY count() DESC LIMIT 1 # ### End.
customer_complaints	### Complete SQL query only and with no explanation ### SQL tables followed by foreign key information: # # Staff ( staff_id, gender, first_name, last_name, email_address, phone_number ) # Customers ( customer_id, customer_type_code, address_line_1, address_line_2, town_city, state, email_address, phone_number ) # Products ( product_id, parent_product_id, product_category_code, date_product_first_available, date_product_discontinued, product_name, product_description, product_price ) # Complaints ( complaint_id, product_id, customer_id, complaint_outcome_code, complaint_status_code, complaint_type_code, date_complaint_raised, date_complaint_closed, staff_id ) # # Complaints.customer_id can be joined with Customers.customer_id # Complaints.product_id can be joined with Products.product_id # Complaints.staff_id can be joined with Staff.staff_id # ### Question: # # What is the last name of the staff who has handled the first ever complaint? # ### SQL: # # SELECT t1.last_name FROM staff AS t1 JOIN complaints AS t2 ON t1.staff_id = t2.staff_id ORDER BY t2.date_complaint_raised LIMIT 1 # ### End.
customer_complaints	### Complete SQL query only and with no explanation ### SQL tables followed by foreign key information: # # Staff ( staff_id, gender, first_name, last_name, email_address, phone_number ) # Customers ( customer_id, customer_type_code, address_line_1, address_line_2, town_city, state, email_address, phone_number ) # Products ( product_id, parent_product_id, product_category_code, date_product_first_available, date_product_discontinued, product_name, product_description, product_price ) # Complaints ( complaint_id, product_id, customer_id, complaint_outcome_code, complaint_status_code, complaint_type_code, date_complaint_raised, date_complaint_closed, staff_id ) # # Complaints.customer_id can be joined with Customers.customer_id # Complaints.product_id can be joined with Products.product_id # Complaints.staff_id can be joined with Staff.staff_id # ### Question: # # Return the last name of the staff member who handled the complaint with the earliest date raised. # ### SQL: # # SELECT t1.last_name FROM staff AS t1 JOIN complaints AS t2 ON t1.staff_id = t2.staff_id ORDER BY t2.date_complaint_raised LIMIT 1 # ### End.
customer_complaints	### Complete SQL query only and with no explanation ### SQL tables followed by foreign key information: # # Staff ( staff_id, gender, first_name, last_name, email_address, phone_number ) # Customers ( customer_id, customer_type_code, address_line_1, address_line_2, town_city, state, email_address, phone_number ) # Products ( product_id, parent_product_id, product_category_code, date_product_first_available, date_product_discontinued, product_name, product_description, product_price ) # Complaints ( complaint_id, product_id, customer_id, complaint_outcome_code, complaint_status_code, complaint_type_code, date_complaint_raised, date_complaint_closed, staff_id ) # # Complaints.customer_id can be joined with Customers.customer_id # Complaints.product_id can be joined with Products.product_id # Complaints.staff_id can be joined with Staff.staff_id # ### Question: # # How many distinct complaint type codes are there in the database? # ### SQL: # # SELECT count(DISTINCT complaint_type_code) FROM complaints # ### End.
customer_complaints	### Complete SQL query only and with no explanation ### SQL tables followed by foreign key information: # # Staff ( staff_id, gender, first_name, last_name, email_address, phone_number ) # Customers ( customer_id, customer_type_code, address_line_1, address_line_2, town_city, state, email_address, phone_number ) # Products ( product_id, parent_product_id, product_category_code, date_product_first_available, date_product_discontinued, product_name, product_description, product_price ) # Complaints ( complaint_id, product_id, customer_id, complaint_outcome_code, complaint_status_code, complaint_type_code, date_complaint_raised, date_complaint_closed, staff_id ) # # Complaints.customer_id can be joined with Customers.customer_id # Complaints.product_id can be joined with Products.product_id # Complaints.staff_id can be joined with Staff.staff_id # ### Question: # # Count the number of different complaint type codes. # ### SQL: # # SELECT count(DISTINCT complaint_type_code) FROM complaints # ### End.
customer_complaints	### Complete SQL query only and with no explanation ### SQL tables followed by foreign key information: # # Staff ( staff_id, gender, first_name, last_name, email_address, phone_number ) # Customers ( customer_id, customer_type_code, address_line_1, address_line_2, town_city, state, email_address, phone_number ) # Products ( product_id, parent_product_id, product_category_code, date_product_first_available, date_product_discontinued, product_name, product_description, product_price ) # Complaints ( complaint_id, product_id, customer_id, complaint_outcome_code, complaint_status_code, complaint_type_code, date_complaint_raised, date_complaint_closed, staff_id ) # # Complaints.customer_id can be joined with Customers.customer_id # Complaints.product_id can be joined with Products.product_id # Complaints.staff_id can be joined with Staff.staff_id # ### Question: # # Find the address line 1 and 2 of the customer with email "vbogisich@example.org". # ### SQL: # # SELECT address_line_1 , address_line_2 FROM customers WHERE email_address = "vbogisich@example.org" # ### End.
customer_complaints	### Complete SQL query only and with no explanation ### SQL tables followed by foreign key information: # # Staff ( staff_id, gender, first_name, last_name, email_address, phone_number ) # Customers ( customer_id, customer_type_code, address_line_1, address_line_2, town_city, state, email_address, phone_number ) # Products ( product_id, parent_product_id, product_category_code, date_product_first_available, date_product_discontinued, product_name, product_description, product_price ) # Complaints ( complaint_id, product_id, customer_id, complaint_outcome_code, complaint_status_code, complaint_type_code, date_complaint_raised, date_complaint_closed, staff_id ) # # Complaints.customer_id can be joined with Customers.customer_id # Complaints.product_id can be joined with Products.product_id # Complaints.staff_id can be joined with Staff.staff_id # ### Question: # # What are lines 1 and 2 of the addressed of the customer with the email "vbogisich@example.org"? # ### SQL: # # SELECT address_line_1 , address_line_2 FROM customers WHERE email_address = "vbogisich@example.org" # ### End.
customer_complaints	### Complete SQL query only and with no explanation ### SQL tables followed by foreign key information: # # Staff ( staff_id, gender, first_name, last_name, email_address, phone_number ) # Customers ( customer_id, customer_type_code, address_line_1, address_line_2, town_city, state, email_address, phone_number ) # Products ( product_id, parent_product_id, product_category_code, date_product_first_available, date_product_discontinued, product_name, product_description, product_price ) # Complaints ( complaint_id, product_id, customer_id, complaint_outcome_code, complaint_status_code, complaint_type_code, date_complaint_raised, date_complaint_closed, staff_id ) # # Complaints.customer_id can be joined with Customers.customer_id # Complaints.product_id can be joined with Products.product_id # Complaints.staff_id can be joined with Staff.staff_id # ### Question: # # Find the number of complaints with Product Failure type for each complaint status. # ### SQL: # # SELECT complaint_status_code , count(*) FROM complaints WHERE complaint_type_code = "Product Failure" GROUP BY complaint_status_code # ### End.
customer_complaints	### Complete SQL query only and with no explanation ### SQL tables followed by foreign key information: # # Staff ( staff_id, gender, first_name, last_name, email_address, phone_number ) # Customers ( customer_id, customer_type_code, address_line_1, address_line_2, town_city, state, email_address, phone_number ) # Products ( product_id, parent_product_id, product_category_code, date_product_first_available, date_product_discontinued, product_name, product_description, product_price ) # Complaints ( complaint_id, product_id, customer_id, complaint_outcome_code, complaint_status_code, complaint_type_code, date_complaint_raised, date_complaint_closed, staff_id ) # # Complaints.customer_id can be joined with Customers.customer_id # Complaints.product_id can be joined with Products.product_id # Complaints.staff_id can be joined with Staff.staff_id # ### Question: # # Of complaints with the type code "Product Failure", how many had each different status code? # ### SQL: # # SELECT complaint_status_code , count(*) FROM complaints WHERE complaint_type_code = "Product Failure" GROUP BY complaint_status_code # ### End.
customer_complaints	### Complete SQL query only and with no explanation ### SQL tables followed by foreign key information: # # Staff ( staff_id, gender, first_name, last_name, email_address, phone_number ) # Customers ( customer_id, customer_type_code, address_line_1, address_line_2, town_city, state, email_address, phone_number ) # Products ( product_id, parent_product_id, product_category_code, date_product_first_available, date_product_discontinued, product_name, product_description, product_price ) # Complaints ( complaint_id, product_id, customer_id, complaint_outcome_code, complaint_status_code, complaint_type_code, date_complaint_raised, date_complaint_closed, staff_id ) # # Complaints.customer_id can be joined with Customers.customer_id # Complaints.product_id can be joined with Products.product_id # Complaints.staff_id can be joined with Staff.staff_id # ### Question: # # What is first names of the top 5 staff who have handled the greatest number of complaints? # ### SQL: # # SELECT t1.first_name FROM staff AS t1 JOIN complaints AS t2 ON t1.staff_id = t2.staff_id GROUP BY t2.staff_id ORDER BY count(*) LIMIT 5 # ### End.
customer_complaints	### Complete SQL query only and with no explanation ### SQL tables followed by foreign key information: # # Staff ( staff_id, gender, first_name, last_name, email_address, phone_number ) # Customers ( customer_id, customer_type_code, address_line_1, address_line_2, town_city, state, email_address, phone_number ) # Products ( product_id, parent_product_id, product_category_code, date_product_first_available, date_product_discontinued, product_name, product_description, product_price ) # Complaints ( complaint_id, product_id, customer_id, complaint_outcome_code, complaint_status_code, complaint_type_code, date_complaint_raised, date_complaint_closed, staff_id ) # # Complaints.customer_id can be joined with Customers.customer_id # Complaints.product_id can be joined with Products.product_id # Complaints.staff_id can be joined with Staff.staff_id # ### Question: # # Return the first names of the 5 staff members who have handled the most complaints. # ### SQL: # # SELECT t1.first_name FROM staff AS t1 JOIN complaints AS t2 ON t1.staff_id = t2.staff_id GROUP BY t2.staff_id ORDER BY count(*) LIMIT 5 # ### End.
customer_complaints	### Complete SQL query only and with no explanation ### SQL tables followed by foreign key information: # # Staff ( staff_id, gender, first_name, last_name, email_address, phone_number ) # Customers ( customer_id, customer_type_code, address_line_1, address_line_2, town_city, state, email_address, phone_number ) # Products ( product_id, parent_product_id, product_category_code, date_product_first_available, date_product_discontinued, product_name, product_description, product_price ) # Complaints ( complaint_id, product_id, customer_id, complaint_outcome_code, complaint_status_code, complaint_type_code, date_complaint_raised, date_complaint_closed, staff_id ) # # Complaints.customer_id can be joined with Customers.customer_id # Complaints.product_id can be joined with Products.product_id # Complaints.staff_id can be joined with Staff.staff_id # ### Question: # # Which state has the most customers? # ### SQL: # # SELECT state FROM customers GROUP BY state ORDER BY count(*) LIMIT 1 # ### End.
customer_complaints	### Complete SQL query only and with no explanation ### SQL tables followed by foreign key information: # # Staff ( staff_id, gender, first_name, last_name, email_address, phone_number ) # Customers ( customer_id, customer_type_code, address_line_1, address_line_2, town_city, state, email_address, phone_number ) # Products ( product_id, parent_product_id, product_category_code, date_product_first_available, date_product_discontinued, product_name, product_description, product_price ) # Complaints ( complaint_id, product_id, customer_id, complaint_outcome_code, complaint_status_code, complaint_type_code, date_complaint_raised, date_complaint_closed, staff_id ) # # Complaints.customer_id can be joined with Customers.customer_id # Complaints.product_id can be joined with Products.product_id # Complaints.staff_id can be joined with Staff.staff_id # ### Question: # # Give the state that has the most customers. # ### SQL: # # SELECT state FROM customers GROUP BY state ORDER BY count(*) LIMIT 1 # ### End.
workshop_paper	### Complete SQL query only and with no explanation ### SQL tables followed by foreign key information: # # workshop ( Workshop_ID, Date, Venue, Name ) # submission ( Submission_ID, Scores, Author, College ) # Acceptance ( Submission_ID, Workshop_ID, Result ) # # Acceptance.Workshop_ID can be joined with workshop.Workshop_ID # Acceptance.Submission_ID can be joined with submission.Submission_ID # ### Question: # # How many submissions are there? # ### SQL: # # SELECT count(*) FROM submission # ### End.
workshop_paper	### Complete SQL query only and with no explanation ### SQL tables followed by foreign key information: # # workshop ( Workshop_ID, Date, Venue, Name ) # submission ( Submission_ID, Scores, Author, College ) # Acceptance ( Submission_ID, Workshop_ID, Result ) # # Acceptance.Workshop_ID can be joined with workshop.Workshop_ID # Acceptance.Submission_ID can be joined with submission.Submission_ID # ### Question: # # Count the number of submissions. # ### SQL: # # SELECT count(*) FROM submission # ### End.
workshop_paper	### Complete SQL query only and with no explanation ### SQL tables followed by foreign key information: # # workshop ( Workshop_ID, Date, Venue, Name ) # submission ( Submission_ID, Scores, Author, College ) # Acceptance ( Submission_ID, Workshop_ID, Result ) # # Acceptance.Workshop_ID can be joined with workshop.Workshop_ID # Acceptance.Submission_ID can be joined with submission.Submission_ID # ### Question: # # List the authors of submissions in ascending order of scores. # ### SQL: # # SELECT Author FROM submission ORDER BY Scores ASC # ### End.
workshop_paper	### Complete SQL query only and with no explanation ### SQL tables followed by foreign key information: # # workshop ( Workshop_ID, Date, Venue, Name ) # submission ( Submission_ID, Scores, Author, College ) # Acceptance ( Submission_ID, Workshop_ID, Result ) # # Acceptance.Workshop_ID can be joined with workshop.Workshop_ID # Acceptance.Submission_ID can be joined with submission.Submission_ID # ### Question: # # Find the author for each submission and list them in ascending order of submission score. # ### SQL: # # SELECT Author FROM submission ORDER BY Scores ASC # ### End.
workshop_paper	### Complete SQL query only and with no explanation ### SQL tables followed by foreign key information: # # workshop ( Workshop_ID, Date, Venue, Name ) # submission ( Submission_ID, Scores, Author, College ) # Acceptance ( Submission_ID, Workshop_ID, Result ) # # Acceptance.Workshop_ID can be joined with workshop.Workshop_ID # Acceptance.Submission_ID can be joined with submission.Submission_ID # ### Question: # # What are the authors of submissions and their colleges? # ### SQL: # # SELECT Author , College FROM submission # ### End.
workshop_paper	### Complete SQL query only and with no explanation ### SQL tables followed by foreign key information: # # workshop ( Workshop_ID, Date, Venue, Name ) # submission ( Submission_ID, Scores, Author, College ) # Acceptance ( Submission_ID, Workshop_ID, Result ) # # Acceptance.Workshop_ID can be joined with workshop.Workshop_ID # Acceptance.Submission_ID can be joined with submission.Submission_ID # ### Question: # # For each submission, show the author and their affiliated college. # ### SQL: # # SELECT Author , College FROM submission # ### End.
workshop_paper	### Complete SQL query only and with no explanation ### SQL tables followed by foreign key information: # # workshop ( Workshop_ID, Date, Venue, Name ) # submission ( Submission_ID, Scores, Author, College ) # Acceptance ( Submission_ID, Workshop_ID, Result ) # # Acceptance.Workshop_ID can be joined with workshop.Workshop_ID # Acceptance.Submission_ID can be joined with submission.Submission_ID # ### Question: # # Show the names of authors from college "Florida" or "Temple" # ### SQL: # # SELECT Author FROM submission WHERE College = "Florida" OR College = "Temple" # ### End.
workshop_paper	### Complete SQL query only and with no explanation ### SQL tables followed by foreign key information: # # workshop ( Workshop_ID, Date, Venue, Name ) # submission ( Submission_ID, Scores, Author, College ) # Acceptance ( Submission_ID, Workshop_ID, Result ) # # Acceptance.Workshop_ID can be joined with workshop.Workshop_ID # Acceptance.Submission_ID can be joined with submission.Submission_ID # ### Question: # # Which authors with submissions are from college "Florida" or "Temple"? # ### SQL: # # SELECT Author FROM submission WHERE College = "Florida" OR College = "Temple" # ### End.
workshop_paper	### Complete SQL query only and with no explanation ### SQL tables followed by foreign key information: # # workshop ( Workshop_ID, Date, Venue, Name ) # submission ( Submission_ID, Scores, Author, College ) # Acceptance ( Submission_ID, Workshop_ID, Result ) # # Acceptance.Workshop_ID can be joined with workshop.Workshop_ID # Acceptance.Submission_ID can be joined with submission.Submission_ID # ### Question: # # What is the average score of submissions? # ### SQL: # # SELECT avg(Scores) FROM submission # ### End.
workshop_paper	### Complete SQL query only and with no explanation ### SQL tables followed by foreign key information: # # workshop ( Workshop_ID, Date, Venue, Name ) # submission ( Submission_ID, Scores, Author, College ) # Acceptance ( Submission_ID, Workshop_ID, Result ) # # Acceptance.Workshop_ID can be joined with workshop.Workshop_ID # Acceptance.Submission_ID can be joined with submission.Submission_ID # ### Question: # # Compute the average score of submissions. # ### SQL: # # SELECT avg(Scores) FROM submission # ### End.
workshop_paper	### Complete SQL query only and with no explanation ### SQL tables followed by foreign key information: # # workshop ( Workshop_ID, Date, Venue, Name ) # submission ( Submission_ID, Scores, Author, College ) # Acceptance ( Submission_ID, Workshop_ID, Result ) # # Acceptance.Workshop_ID can be joined with workshop.Workshop_ID # Acceptance.Submission_ID can be joined with submission.Submission_ID # ### Question: # # What is the author of the submission with the highest score? # ### SQL: # # SELECT Author FROM submission ORDER BY Scores DESC LIMIT 1 # ### End.
workshop_paper	### Complete SQL query only and with no explanation ### SQL tables followed by foreign key information: # # workshop ( Workshop_ID, Date, Venue, Name ) # submission ( Submission_ID, Scores, Author, College ) # Acceptance ( Submission_ID, Workshop_ID, Result ) # # Acceptance.Workshop_ID can be joined with workshop.Workshop_ID # Acceptance.Submission_ID can be joined with submission.Submission_ID # ### Question: # # Find the author who achieved the highest score in a submission. # ### SQL: # # SELECT Author FROM submission ORDER BY Scores DESC LIMIT 1 # ### End.
workshop_paper	### Complete SQL query only and with no explanation ### SQL tables followed by foreign key information: # # workshop ( Workshop_ID, Date, Venue, Name ) # submission ( Submission_ID, Scores, Author, College ) # Acceptance ( Submission_ID, Workshop_ID, Result ) # # Acceptance.Workshop_ID can be joined with workshop.Workshop_ID # Acceptance.Submission_ID can be joined with submission.Submission_ID # ### Question: # # Show different colleges along with the number of authors of submission from each college. # ### SQL: # # SELECT College , COUNT(*) FROM submission GROUP BY College # ### End.
workshop_paper	### Complete SQL query only and with no explanation ### SQL tables followed by foreign key information: # # workshop ( Workshop_ID, Date, Venue, Name ) # submission ( Submission_ID, Scores, Author, College ) # Acceptance ( Submission_ID, Workshop_ID, Result ) # # Acceptance.Workshop_ID can be joined with workshop.Workshop_ID # Acceptance.Submission_ID can be joined with submission.Submission_ID # ### Question: # # For each college, return the college name and the count of authors with submissions from that college. # ### SQL: # # SELECT College , COUNT(*) FROM submission GROUP BY College # ### End.
workshop_paper	### Complete SQL query only and with no explanation ### SQL tables followed by foreign key information: # # workshop ( Workshop_ID, Date, Venue, Name ) # submission ( Submission_ID, Scores, Author, College ) # Acceptance ( Submission_ID, Workshop_ID, Result ) # # Acceptance.Workshop_ID can be joined with workshop.Workshop_ID # Acceptance.Submission_ID can be joined with submission.Submission_ID # ### Question: # # Show the most common college of authors of submissions. # ### SQL: # # SELECT College FROM submission GROUP BY College ORDER BY COUNT(*) DESC LIMIT 1 # ### End.
workshop_paper	### Complete SQL query only and with no explanation ### SQL tables followed by foreign key information: # # workshop ( Workshop_ID, Date, Venue, Name ) # submission ( Submission_ID, Scores, Author, College ) # Acceptance ( Submission_ID, Workshop_ID, Result ) # # Acceptance.Workshop_ID can be joined with workshop.Workshop_ID # Acceptance.Submission_ID can be joined with submission.Submission_ID # ### Question: # # Which college has the most authors with submissions? # ### SQL: # # SELECT College FROM submission GROUP BY College ORDER BY COUNT(*) DESC LIMIT 1 # ### End.
workshop_paper	### Complete SQL query only and with no explanation ### SQL tables followed by foreign key information: # # workshop ( Workshop_ID, Date, Venue, Name ) # submission ( Submission_ID, Scores, Author, College ) # Acceptance ( Submission_ID, Workshop_ID, Result ) # # Acceptance.Workshop_ID can be joined with workshop.Workshop_ID # Acceptance.Submission_ID can be joined with submission.Submission_ID # ### Question: # # Show the colleges that have both authors with submission score larger than 90 and authors with submission score smaller than 80. # ### SQL: # # SELECT College FROM submission WHERE Scores > 90 INTERSECT SELECT College FROM submission WHERE Scores < 80 # ### End.
workshop_paper	### Complete SQL query only and with no explanation ### SQL tables followed by foreign key information: # # workshop ( Workshop_ID, Date, Venue, Name ) # submission ( Submission_ID, Scores, Author, College ) # Acceptance ( Submission_ID, Workshop_ID, Result ) # # Acceptance.Workshop_ID can be joined with workshop.Workshop_ID # Acceptance.Submission_ID can be joined with submission.Submission_ID # ### Question: # # Which colleges have both authors with submission score above 90 and authors with submission score below 80? # ### SQL: # # SELECT College FROM submission WHERE Scores > 90 INTERSECT SELECT College FROM submission WHERE Scores < 80 # ### End.
workshop_paper	### Complete SQL query only and with no explanation ### SQL tables followed by foreign key information: # # workshop ( Workshop_ID, Date, Venue, Name ) # submission ( Submission_ID, Scores, Author, College ) # Acceptance ( Submission_ID, Workshop_ID, Result ) # # Acceptance.Workshop_ID can be joined with workshop.Workshop_ID # Acceptance.Submission_ID can be joined with submission.Submission_ID # ### Question: # # Show the authors of submissions and the acceptance results of their submissions. # ### SQL: # # SELECT T2.Author , T1.Result FROM acceptance AS T1 JOIN submission AS T2 ON T1.Submission_ID = T2.Submission_ID # ### End.
workshop_paper	### Complete SQL query only and with no explanation ### SQL tables followed by foreign key information: # # workshop ( Workshop_ID, Date, Venue, Name ) # submission ( Submission_ID, Scores, Author, College ) # Acceptance ( Submission_ID, Workshop_ID, Result ) # # Acceptance.Workshop_ID can be joined with workshop.Workshop_ID # Acceptance.Submission_ID can be joined with submission.Submission_ID # ### Question: # # For each submission, find its author and acceptance result. # ### SQL: # # SELECT T2.Author , T1.Result FROM acceptance AS T1 JOIN submission AS T2 ON T1.Submission_ID = T2.Submission_ID # ### End.
workshop_paper	### Complete SQL query only and with no explanation ### SQL tables followed by foreign key information: # # workshop ( Workshop_ID, Date, Venue, Name ) # submission ( Submission_ID, Scores, Author, College ) # Acceptance ( Submission_ID, Workshop_ID, Result ) # # Acceptance.Workshop_ID can be joined with workshop.Workshop_ID # Acceptance.Submission_ID can be joined with submission.Submission_ID # ### Question: # # Show the result of the submission with the highest score. # ### SQL: # # SELECT T1.Result FROM acceptance AS T1 JOIN submission AS T2 ON T1.Submission_ID = T2.Submission_ID ORDER BY T2.Scores DESC LIMIT 1 # ### End.
workshop_paper	### Complete SQL query only and with no explanation ### SQL tables followed by foreign key information: # # workshop ( Workshop_ID, Date, Venue, Name ) # submission ( Submission_ID, Scores, Author, College ) # Acceptance ( Submission_ID, Workshop_ID, Result ) # # Acceptance.Workshop_ID can be joined with workshop.Workshop_ID # Acceptance.Submission_ID can be joined with submission.Submission_ID # ### Question: # # Which submission received the highest score in acceptance result. Show me the result. # ### SQL: # # SELECT T1.Result FROM acceptance AS T1 JOIN submission AS T2 ON T1.Submission_ID = T2.Submission_ID ORDER BY T2.Scores DESC LIMIT 1 # ### End.
workshop_paper	### Complete SQL query only and with no explanation ### SQL tables followed by foreign key information: # # workshop ( Workshop_ID, Date, Venue, Name ) # submission ( Submission_ID, Scores, Author, College ) # Acceptance ( Submission_ID, Workshop_ID, Result ) # # Acceptance.Workshop_ID can be joined with workshop.Workshop_ID # Acceptance.Submission_ID can be joined with submission.Submission_ID # ### Question: # # Show each author and the number of workshops they submitted to. # ### SQL: # # SELECT T2.Author , COUNT(DISTINCT T1.workshop_id) FROM acceptance AS T1 JOIN submission AS T2 ON T1.Submission_ID = T2.Submission_ID GROUP BY T2.Author # ### End.
workshop_paper	### Complete SQL query only and with no explanation ### SQL tables followed by foreign key information: # # workshop ( Workshop_ID, Date, Venue, Name ) # submission ( Submission_ID, Scores, Author, College ) # Acceptance ( Submission_ID, Workshop_ID, Result ) # # Acceptance.Workshop_ID can be joined with workshop.Workshop_ID # Acceptance.Submission_ID can be joined with submission.Submission_ID # ### Question: # # How many workshops did each author submit to? Return the author name and the number of workshops. # ### SQL: # # SELECT T2.Author , COUNT(DISTINCT T1.workshop_id) FROM acceptance AS T1 JOIN submission AS T2 ON T1.Submission_ID = T2.Submission_ID GROUP BY T2.Author # ### End.
workshop_paper	### Complete SQL query only and with no explanation ### SQL tables followed by foreign key information: # # workshop ( Workshop_ID, Date, Venue, Name ) # submission ( Submission_ID, Scores, Author, College ) # Acceptance ( Submission_ID, Workshop_ID, Result ) # # Acceptance.Workshop_ID can be joined with workshop.Workshop_ID # Acceptance.Submission_ID can be joined with submission.Submission_ID # ### Question: # # Show the authors who have submissions to more than one workshop. # ### SQL: # # SELECT T2.Author FROM acceptance AS T1 JOIN submission AS T2 ON T1.Submission_ID = T2.Submission_ID GROUP BY T2.Author HAVING COUNT(DISTINCT T1.workshop_id) > 1 # ### End.
workshop_paper	### Complete SQL query only and with no explanation ### SQL tables followed by foreign key information: # # workshop ( Workshop_ID, Date, Venue, Name ) # submission ( Submission_ID, Scores, Author, College ) # Acceptance ( Submission_ID, Workshop_ID, Result ) # # Acceptance.Workshop_ID can be joined with workshop.Workshop_ID # Acceptance.Submission_ID can be joined with submission.Submission_ID # ### Question: # # Which authors have submitted to more than one workshop? # ### SQL: # # SELECT T2.Author FROM acceptance AS T1 JOIN submission AS T2 ON T1.Submission_ID = T2.Submission_ID GROUP BY T2.Author HAVING COUNT(DISTINCT T1.workshop_id) > 1 # ### End.
workshop_paper	### Complete SQL query only and with no explanation ### SQL tables followed by foreign key information: # # workshop ( Workshop_ID, Date, Venue, Name ) # submission ( Submission_ID, Scores, Author, College ) # Acceptance ( Submission_ID, Workshop_ID, Result ) # # Acceptance.Workshop_ID can be joined with workshop.Workshop_ID # Acceptance.Submission_ID can be joined with submission.Submission_ID # ### Question: # # Show the date and venue of each workshop in ascending alphabetical order of the venue. # ### SQL: # # SELECT Date , Venue FROM workshop ORDER BY Venue # ### End.
workshop_paper	### Complete SQL query only and with no explanation ### SQL tables followed by foreign key information: # # workshop ( Workshop_ID, Date, Venue, Name ) # submission ( Submission_ID, Scores, Author, College ) # Acceptance ( Submission_ID, Workshop_ID, Result ) # # Acceptance.Workshop_ID can be joined with workshop.Workshop_ID # Acceptance.Submission_ID can be joined with submission.Submission_ID # ### Question: # # Sort the each workshop in alphabetical order of the venue. Return the date and venue of each workshop. # ### SQL: # # SELECT Date , Venue FROM workshop ORDER BY Venue # ### End.
workshop_paper	### Complete SQL query only and with no explanation ### SQL tables followed by foreign key information: # # workshop ( Workshop_ID, Date, Venue, Name ) # submission ( Submission_ID, Scores, Author, College ) # Acceptance ( Submission_ID, Workshop_ID, Result ) # # Acceptance.Workshop_ID can be joined with workshop.Workshop_ID # Acceptance.Submission_ID can be joined with submission.Submission_ID # ### Question: # # List the authors who do not have submission to any workshop. # ### SQL: # # SELECT Author FROM submission WHERE Submission_ID NOT IN (SELECT Submission_ID FROM acceptance) # ### End.
workshop_paper	### Complete SQL query only and with no explanation ### SQL tables followed by foreign key information: # # workshop ( Workshop_ID, Date, Venue, Name ) # submission ( Submission_ID, Scores, Author, College ) # Acceptance ( Submission_ID, Workshop_ID, Result ) # # Acceptance.Workshop_ID can be joined with workshop.Workshop_ID # Acceptance.Submission_ID can be joined with submission.Submission_ID # ### Question: # # Which authors did not submit to any workshop? # ### SQL: # # SELECT Author FROM submission WHERE Submission_ID NOT IN (SELECT Submission_ID FROM acceptance) # ### End.
tracking_share_transactions	### Complete SQL query only and with no explanation ### SQL tables followed by foreign key information: # # Investors ( investor_id, Investor_details ) # Lots ( lot_id, investor_id, lot_details ) # Ref_Transaction_Types ( transaction_type_code, transaction_type_description ) # Transactions ( transaction_id, investor_id, transaction_type_code, date_of_transaction, amount_of_transaction, share_count, other_details ) # Sales ( sales_transaction_id, sales_details ) # Purchases ( purchase_transaction_id, purchase_details ) # Transactions_Lots ( transaction_id, lot_id ) # # Lots.investor_id can be joined with Investors.investor_id # Transactions.transaction_type_code can be joined with Ref_Transaction_Types.transaction_type_code # Transactions.investor_id can be joined with Investors.investor_id # Sales.sales_transaction_id can be joined with Transactions.transaction_id # Purchases.purchase_transaction_id can be joined with Transactions.transaction_id # Transactions_Lots.transaction_id can be joined with Transactions.transaction_id # Transactions_Lots.lot_id can be joined with Lots.lot_id # ### Question: # # Find the number of investors in total. # ### SQL: # # SELECT count(*) FROM INVESTORS # ### End.
tracking_share_transactions	### Complete SQL query only and with no explanation ### SQL tables followed by foreign key information: # # Investors ( investor_id, Investor_details ) # Lots ( lot_id, investor_id, lot_details ) # Ref_Transaction_Types ( transaction_type_code, transaction_type_description ) # Transactions ( transaction_id, investor_id, transaction_type_code, date_of_transaction, amount_of_transaction, share_count, other_details ) # Sales ( sales_transaction_id, sales_details ) # Purchases ( purchase_transaction_id, purchase_details ) # Transactions_Lots ( transaction_id, lot_id ) # # Lots.investor_id can be joined with Investors.investor_id # Transactions.transaction_type_code can be joined with Ref_Transaction_Types.transaction_type_code # Transactions.investor_id can be joined with Investors.investor_id # Sales.sales_transaction_id can be joined with Transactions.transaction_id # Purchases.purchase_transaction_id can be joined with Transactions.transaction_id # Transactions_Lots.transaction_id can be joined with Transactions.transaction_id # Transactions_Lots.lot_id can be joined with Lots.lot_id # ### Question: # # Show all investor details. # ### SQL: # # SELECT Investor_details FROM INVESTORS # ### End.
tracking_share_transactions	### Complete SQL query only and with no explanation ### SQL tables followed by foreign key information: # # Investors ( investor_id, Investor_details ) # Lots ( lot_id, investor_id, lot_details ) # Ref_Transaction_Types ( transaction_type_code, transaction_type_description ) # Transactions ( transaction_id, investor_id, transaction_type_code, date_of_transaction, amount_of_transaction, share_count, other_details ) # Sales ( sales_transaction_id, sales_details ) # Purchases ( purchase_transaction_id, purchase_details ) # Transactions_Lots ( transaction_id, lot_id ) # # Lots.investor_id can be joined with Investors.investor_id # Transactions.transaction_type_code can be joined with Ref_Transaction_Types.transaction_type_code # Transactions.investor_id can be joined with Investors.investor_id # Sales.sales_transaction_id can be joined with Transactions.transaction_id # Purchases.purchase_transaction_id can be joined with Transactions.transaction_id # Transactions_Lots.transaction_id can be joined with Transactions.transaction_id # Transactions_Lots.lot_id can be joined with Lots.lot_id # ### Question: # # Show all distinct lot details. # ### SQL: # # SELECT DISTINCT lot_details FROM LOTS # ### End.
tracking_share_transactions	### Complete SQL query only and with no explanation ### SQL tables followed by foreign key information: # # Investors ( investor_id, Investor_details ) # Lots ( lot_id, investor_id, lot_details ) # Ref_Transaction_Types ( transaction_type_code, transaction_type_description ) # Transactions ( transaction_id, investor_id, transaction_type_code, date_of_transaction, amount_of_transaction, share_count, other_details ) # Sales ( sales_transaction_id, sales_details ) # Purchases ( purchase_transaction_id, purchase_details ) # Transactions_Lots ( transaction_id, lot_id ) # # Lots.investor_id can be joined with Investors.investor_id # Transactions.transaction_type_code can be joined with Ref_Transaction_Types.transaction_type_code # Transactions.investor_id can be joined with Investors.investor_id # Sales.sales_transaction_id can be joined with Transactions.transaction_id # Purchases.purchase_transaction_id can be joined with Transactions.transaction_id # Transactions_Lots.transaction_id can be joined with Transactions.transaction_id # Transactions_Lots.lot_id can be joined with Lots.lot_id # ### Question: # # Show the maximum amount of transaction. # ### SQL: # # SELECT max(amount_of_transaction) FROM TRANSACTIONS # ### End.
tracking_share_transactions	### Complete SQL query only and with no explanation ### SQL tables followed by foreign key information: # # Investors ( investor_id, Investor_details ) # Lots ( lot_id, investor_id, lot_details ) # Ref_Transaction_Types ( transaction_type_code, transaction_type_description ) # Transactions ( transaction_id, investor_id, transaction_type_code, date_of_transaction, amount_of_transaction, share_count, other_details ) # Sales ( sales_transaction_id, sales_details ) # Purchases ( purchase_transaction_id, purchase_details ) # Transactions_Lots ( transaction_id, lot_id ) # # Lots.investor_id can be joined with Investors.investor_id # Transactions.transaction_type_code can be joined with Ref_Transaction_Types.transaction_type_code # Transactions.investor_id can be joined with Investors.investor_id # Sales.sales_transaction_id can be joined with Transactions.transaction_id # Purchases.purchase_transaction_id can be joined with Transactions.transaction_id # Transactions_Lots.transaction_id can be joined with Transactions.transaction_id # Transactions_Lots.lot_id can be joined with Lots.lot_id # ### Question: # # Show all date and share count of transactions. # ### SQL: # # SELECT date_of_transaction , share_count FROM TRANSACTIONS # ### End.
tracking_share_transactions	### Complete SQL query only and with no explanation ### SQL tables followed by foreign key information: # # Investors ( investor_id, Investor_details ) # Lots ( lot_id, investor_id, lot_details ) # Ref_Transaction_Types ( transaction_type_code, transaction_type_description ) # Transactions ( transaction_id, investor_id, transaction_type_code, date_of_transaction, amount_of_transaction, share_count, other_details ) # Sales ( sales_transaction_id, sales_details ) # Purchases ( purchase_transaction_id, purchase_details ) # Transactions_Lots ( transaction_id, lot_id ) # # Lots.investor_id can be joined with Investors.investor_id # Transactions.transaction_type_code can be joined with Ref_Transaction_Types.transaction_type_code # Transactions.investor_id can be joined with Investors.investor_id # Sales.sales_transaction_id can be joined with Transactions.transaction_id # Purchases.purchase_transaction_id can be joined with Transactions.transaction_id # Transactions_Lots.transaction_id can be joined with Transactions.transaction_id # Transactions_Lots.lot_id can be joined with Lots.lot_id # ### Question: # # What is the total share of transactions? # ### SQL: # # SELECT sum(share_count) FROM TRANSACTIONS # ### End.
tracking_share_transactions	### Complete SQL query only and with no explanation ### SQL tables followed by foreign key information: # # Investors ( investor_id, Investor_details ) # Lots ( lot_id, investor_id, lot_details ) # Ref_Transaction_Types ( transaction_type_code, transaction_type_description ) # Transactions ( transaction_id, investor_id, transaction_type_code, date_of_transaction, amount_of_transaction, share_count, other_details ) # Sales ( sales_transaction_id, sales_details ) # Purchases ( purchase_transaction_id, purchase_details ) # Transactions_Lots ( transaction_id, lot_id ) # # Lots.investor_id can be joined with Investors.investor_id # Transactions.transaction_type_code can be joined with Ref_Transaction_Types.transaction_type_code # Transactions.investor_id can be joined with Investors.investor_id # Sales.sales_transaction_id can be joined with Transactions.transaction_id # Purchases.purchase_transaction_id can be joined with Transactions.transaction_id # Transactions_Lots.transaction_id can be joined with Transactions.transaction_id # Transactions_Lots.lot_id can be joined with Lots.lot_id # ### Question: # # Show all transaction ids with transaction code 'PUR'. # ### SQL: # # SELECT transaction_id FROM TRANSACTIONS WHERE transaction_type_code = 'PUR' # ### End.
tracking_share_transactions	### Complete SQL query only and with no explanation ### SQL tables followed by foreign key information: # # Investors ( investor_id, Investor_details ) # Lots ( lot_id, investor_id, lot_details ) # Ref_Transaction_Types ( transaction_type_code, transaction_type_description ) # Transactions ( transaction_id, investor_id, transaction_type_code, date_of_transaction, amount_of_transaction, share_count, other_details ) # Sales ( sales_transaction_id, sales_details ) # Purchases ( purchase_transaction_id, purchase_details ) # Transactions_Lots ( transaction_id, lot_id ) # # Lots.investor_id can be joined with Investors.investor_id # Transactions.transaction_type_code can be joined with Ref_Transaction_Types.transaction_type_code # Transactions.investor_id can be joined with Investors.investor_id # Sales.sales_transaction_id can be joined with Transactions.transaction_id # Purchases.purchase_transaction_id can be joined with Transactions.transaction_id # Transactions_Lots.transaction_id can be joined with Transactions.transaction_id # Transactions_Lots.lot_id can be joined with Lots.lot_id # ### Question: # # Show all dates of transactions whose type code is "SALE". # ### SQL: # # SELECT date_of_transaction FROM TRANSACTIONS WHERE transaction_type_code = "SALE" # ### End.
tracking_share_transactions	### Complete SQL query only and with no explanation ### SQL tables followed by foreign key information: # # Investors ( investor_id, Investor_details ) # Lots ( lot_id, investor_id, lot_details ) # Ref_Transaction_Types ( transaction_type_code, transaction_type_description ) # Transactions ( transaction_id, investor_id, transaction_type_code, date_of_transaction, amount_of_transaction, share_count, other_details ) # Sales ( sales_transaction_id, sales_details ) # Purchases ( purchase_transaction_id, purchase_details ) # Transactions_Lots ( transaction_id, lot_id ) # # Lots.investor_id can be joined with Investors.investor_id # Transactions.transaction_type_code can be joined with Ref_Transaction_Types.transaction_type_code # Transactions.investor_id can be joined with Investors.investor_id # Sales.sales_transaction_id can be joined with Transactions.transaction_id # Purchases.purchase_transaction_id can be joined with Transactions.transaction_id # Transactions_Lots.transaction_id can be joined with Transactions.transaction_id # Transactions_Lots.lot_id can be joined with Lots.lot_id # ### Question: # # Show the average amount of transactions with type code "SALE". # ### SQL: # # SELECT avg(amount_of_transaction) FROM TRANSACTIONS WHERE transaction_type_code = "SALE" # ### End.
tracking_share_transactions	### Complete SQL query only and with no explanation ### SQL tables followed by foreign key information: # # Investors ( investor_id, Investor_details ) # Lots ( lot_id, investor_id, lot_details ) # Ref_Transaction_Types ( transaction_type_code, transaction_type_description ) # Transactions ( transaction_id, investor_id, transaction_type_code, date_of_transaction, amount_of_transaction, share_count, other_details ) # Sales ( sales_transaction_id, sales_details ) # Purchases ( purchase_transaction_id, purchase_details ) # Transactions_Lots ( transaction_id, lot_id ) # # Lots.investor_id can be joined with Investors.investor_id # Transactions.transaction_type_code can be joined with Ref_Transaction_Types.transaction_type_code # Transactions.investor_id can be joined with Investors.investor_id # Sales.sales_transaction_id can be joined with Transactions.transaction_id # Purchases.purchase_transaction_id can be joined with Transactions.transaction_id # Transactions_Lots.transaction_id can be joined with Transactions.transaction_id # Transactions_Lots.lot_id can be joined with Lots.lot_id # ### Question: # # Show the description of transaction type with code "PUR". # ### SQL: # # SELECT transaction_type_description FROM Ref_Transaction_Types WHERE transaction_type_code = "PUR" # ### End.
tracking_share_transactions	### Complete SQL query only and with no explanation ### SQL tables followed by foreign key information: # # Investors ( investor_id, Investor_details ) # Lots ( lot_id, investor_id, lot_details ) # Ref_Transaction_Types ( transaction_type_code, transaction_type_description ) # Transactions ( transaction_id, investor_id, transaction_type_code, date_of_transaction, amount_of_transaction, share_count, other_details ) # Sales ( sales_transaction_id, sales_details ) # Purchases ( purchase_transaction_id, purchase_details ) # Transactions_Lots ( transaction_id, lot_id ) # # Lots.investor_id can be joined with Investors.investor_id # Transactions.transaction_type_code can be joined with Ref_Transaction_Types.transaction_type_code # Transactions.investor_id can be joined with Investors.investor_id # Sales.sales_transaction_id can be joined with Transactions.transaction_id # Purchases.purchase_transaction_id can be joined with Transactions.transaction_id # Transactions_Lots.transaction_id can be joined with Transactions.transaction_id # Transactions_Lots.lot_id can be joined with Lots.lot_id # ### Question: # # Show the minimum amount of transactions whose type code is "PUR" and whose share count is bigger than 50. # ### SQL: # # SELECT min(amount_of_transaction) FROM TRANSACTIONS WHERE transaction_type_code = "PUR" AND share_count > 50 # ### End.
tracking_share_transactions	### Complete SQL query only and with no explanation ### SQL tables followed by foreign key information: # # Investors ( investor_id, Investor_details ) # Lots ( lot_id, investor_id, lot_details ) # Ref_Transaction_Types ( transaction_type_code, transaction_type_description ) # Transactions ( transaction_id, investor_id, transaction_type_code, date_of_transaction, amount_of_transaction, share_count, other_details ) # Sales ( sales_transaction_id, sales_details ) # Purchases ( purchase_transaction_id, purchase_details ) # Transactions_Lots ( transaction_id, lot_id ) # # Lots.investor_id can be joined with Investors.investor_id # Transactions.transaction_type_code can be joined with Ref_Transaction_Types.transaction_type_code # Transactions.investor_id can be joined with Investors.investor_id # Sales.sales_transaction_id can be joined with Transactions.transaction_id # Purchases.purchase_transaction_id can be joined with Transactions.transaction_id # Transactions_Lots.transaction_id can be joined with Transactions.transaction_id # Transactions_Lots.lot_id can be joined with Lots.lot_id # ### Question: # # Show the maximum share count of transactions where the amount is smaller than 10000 # ### SQL: # # SELECT max(share_count) FROM TRANSACTIONS WHERE amount_of_transaction < 10000 # ### End.
tracking_share_transactions	### Complete SQL query only and with no explanation ### SQL tables followed by foreign key information: # # Investors ( investor_id, Investor_details ) # Lots ( lot_id, investor_id, lot_details ) # Ref_Transaction_Types ( transaction_type_code, transaction_type_description ) # Transactions ( transaction_id, investor_id, transaction_type_code, date_of_transaction, amount_of_transaction, share_count, other_details ) # Sales ( sales_transaction_id, sales_details ) # Purchases ( purchase_transaction_id, purchase_details ) # Transactions_Lots ( transaction_id, lot_id ) # # Lots.investor_id can be joined with Investors.investor_id # Transactions.transaction_type_code can be joined with Ref_Transaction_Types.transaction_type_code # Transactions.investor_id can be joined with Investors.investor_id # Sales.sales_transaction_id can be joined with Transactions.transaction_id # Purchases.purchase_transaction_id can be joined with Transactions.transaction_id # Transactions_Lots.transaction_id can be joined with Transactions.transaction_id # Transactions_Lots.lot_id can be joined with Lots.lot_id # ### Question: # # Show the dates of transactions if the share count is bigger than 100 or the amount is bigger than 1000. # ### SQL: # # SELECT date_of_transaction FROM TRANSACTIONS WHERE share_count > 100 OR amount_of_transaction > 1000 # ### End.
tracking_share_transactions	### Complete SQL query only and with no explanation ### SQL tables followed by foreign key information: # # Investors ( investor_id, Investor_details ) # Lots ( lot_id, investor_id, lot_details ) # Ref_Transaction_Types ( transaction_type_code, transaction_type_description ) # Transactions ( transaction_id, investor_id, transaction_type_code, date_of_transaction, amount_of_transaction, share_count, other_details ) # Sales ( sales_transaction_id, sales_details ) # Purchases ( purchase_transaction_id, purchase_details ) # Transactions_Lots ( transaction_id, lot_id ) # # Lots.investor_id can be joined with Investors.investor_id # Transactions.transaction_type_code can be joined with Ref_Transaction_Types.transaction_type_code # Transactions.investor_id can be joined with Investors.investor_id # Sales.sales_transaction_id can be joined with Transactions.transaction_id # Purchases.purchase_transaction_id can be joined with Transactions.transaction_id # Transactions_Lots.transaction_id can be joined with Transactions.transaction_id # Transactions_Lots.lot_id can be joined with Lots.lot_id # ### Question: # # Show the transaction type descriptions and dates if the share count is smaller than 10. # ### SQL: # # SELECT T1.transaction_type_description , T2.date_of_transaction FROM Ref_Transaction_Types AS T1 JOIN TRANSACTIONS AS T2 ON T1.transaction_type_code = T2.transaction_type_code WHERE T2.share_count < 10 # ### End.
tracking_share_transactions	### Complete SQL query only and with no explanation ### SQL tables followed by foreign key information: # # Investors ( investor_id, Investor_details ) # Lots ( lot_id, investor_id, lot_details ) # Ref_Transaction_Types ( transaction_type_code, transaction_type_description ) # Transactions ( transaction_id, investor_id, transaction_type_code, date_of_transaction, amount_of_transaction, share_count, other_details ) # Sales ( sales_transaction_id, sales_details ) # Purchases ( purchase_transaction_id, purchase_details ) # Transactions_Lots ( transaction_id, lot_id ) # # Lots.investor_id can be joined with Investors.investor_id # Transactions.transaction_type_code can be joined with Ref_Transaction_Types.transaction_type_code # Transactions.investor_id can be joined with Investors.investor_id # Sales.sales_transaction_id can be joined with Transactions.transaction_id # Purchases.purchase_transaction_id can be joined with Transactions.transaction_id # Transactions_Lots.transaction_id can be joined with Transactions.transaction_id # Transactions_Lots.lot_id can be joined with Lots.lot_id # ### Question: # # Show details of all investors if they make any transaction with share count greater than 100. # ### SQL: # # SELECT T1.Investor_details FROM INVESTORS AS T1 JOIN TRANSACTIONS AS T2 ON T1.investor_id = T2.investor_id WHERE T2.share_count > 100 # ### End.
tracking_share_transactions	### Complete SQL query only and with no explanation ### SQL tables followed by foreign key information: # # Investors ( investor_id, Investor_details ) # Lots ( lot_id, investor_id, lot_details ) # Ref_Transaction_Types ( transaction_type_code, transaction_type_description ) # Transactions ( transaction_id, investor_id, transaction_type_code, date_of_transaction, amount_of_transaction, share_count, other_details ) # Sales ( sales_transaction_id, sales_details ) # Purchases ( purchase_transaction_id, purchase_details ) # Transactions_Lots ( transaction_id, lot_id ) # # Lots.investor_id can be joined with Investors.investor_id # Transactions.transaction_type_code can be joined with Ref_Transaction_Types.transaction_type_code # Transactions.investor_id can be joined with Investors.investor_id # Sales.sales_transaction_id can be joined with Transactions.transaction_id # Purchases.purchase_transaction_id can be joined with Transactions.transaction_id # Transactions_Lots.transaction_id can be joined with Transactions.transaction_id # Transactions_Lots.lot_id can be joined with Lots.lot_id # ### Question: # # How many distinct transaction types are used in the transactions? # ### SQL: # # SELECT COUNT(DISTINCT transaction_type_code) FROM TRANSACTIONS # ### End.
tracking_share_transactions	### Complete SQL query only and with no explanation ### SQL tables followed by foreign key information: # # Investors ( investor_id, Investor_details ) # Lots ( lot_id, investor_id, lot_details ) # Ref_Transaction_Types ( transaction_type_code, transaction_type_description ) # Transactions ( transaction_id, investor_id, transaction_type_code, date_of_transaction, amount_of_transaction, share_count, other_details ) # Sales ( sales_transaction_id, sales_details ) # Purchases ( purchase_transaction_id, purchase_details ) # Transactions_Lots ( transaction_id, lot_id ) # # Lots.investor_id can be joined with Investors.investor_id # Transactions.transaction_type_code can be joined with Ref_Transaction_Types.transaction_type_code # Transactions.investor_id can be joined with Investors.investor_id # Sales.sales_transaction_id can be joined with Transactions.transaction_id # Purchases.purchase_transaction_id can be joined with Transactions.transaction_id # Transactions_Lots.transaction_id can be joined with Transactions.transaction_id # Transactions_Lots.lot_id can be joined with Lots.lot_id # ### Question: # # Return the lot details and investor ids. # ### SQL: # # SELECT lot_details , investor_id FROM LOTS # ### End.
tracking_share_transactions	### Complete SQL query only and with no explanation ### SQL tables followed by foreign key information: # # Investors ( investor_id, Investor_details ) # Lots ( lot_id, investor_id, lot_details ) # Ref_Transaction_Types ( transaction_type_code, transaction_type_description ) # Transactions ( transaction_id, investor_id, transaction_type_code, date_of_transaction, amount_of_transaction, share_count, other_details ) # Sales ( sales_transaction_id, sales_details ) # Purchases ( purchase_transaction_id, purchase_details ) # Transactions_Lots ( transaction_id, lot_id ) # # Lots.investor_id can be joined with Investors.investor_id # Transactions.transaction_type_code can be joined with Ref_Transaction_Types.transaction_type_code # Transactions.investor_id can be joined with Investors.investor_id # Sales.sales_transaction_id can be joined with Transactions.transaction_id # Purchases.purchase_transaction_id can be joined with Transactions.transaction_id # Transactions_Lots.transaction_id can be joined with Transactions.transaction_id # Transactions_Lots.lot_id can be joined with Lots.lot_id # ### Question: # # Return the lot details of lots that belong to investors with details "l"? # ### SQL: # # SELECT T2.lot_details FROM INVESTORS AS T1 JOIN LOTS AS T2 ON T1.investor_id = T2.investor_id WHERE T1.Investor_details = "l" # ### End.
tracking_share_transactions	### Complete SQL query only and with no explanation ### SQL tables followed by foreign key information: # # Investors ( investor_id, Investor_details ) # Lots ( lot_id, investor_id, lot_details ) # Ref_Transaction_Types ( transaction_type_code, transaction_type_description ) # Transactions ( transaction_id, investor_id, transaction_type_code, date_of_transaction, amount_of_transaction, share_count, other_details ) # Sales ( sales_transaction_id, sales_details ) # Purchases ( purchase_transaction_id, purchase_details ) # Transactions_Lots ( transaction_id, lot_id ) # # Lots.investor_id can be joined with Investors.investor_id # Transactions.transaction_type_code can be joined with Ref_Transaction_Types.transaction_type_code # Transactions.investor_id can be joined with Investors.investor_id # Sales.sales_transaction_id can be joined with Transactions.transaction_id # Purchases.purchase_transaction_id can be joined with Transactions.transaction_id # Transactions_Lots.transaction_id can be joined with Transactions.transaction_id # Transactions_Lots.lot_id can be joined with Lots.lot_id # ### Question: # # What are the purchase details of transactions with amount bigger than 10000? # ### SQL: # # SELECT T1.purchase_details FROM PURCHASES AS T1 JOIN TRANSACTIONS AS T2 ON T1.purchase_transaction_id = T2.transaction_id WHERE T2.amount_of_transaction > 10000 # ### End.
tracking_share_transactions	### Complete SQL query only and with no explanation ### SQL tables followed by foreign key information: # # Investors ( investor_id, Investor_details ) # Lots ( lot_id, investor_id, lot_details ) # Ref_Transaction_Types ( transaction_type_code, transaction_type_description ) # Transactions ( transaction_id, investor_id, transaction_type_code, date_of_transaction, amount_of_transaction, share_count, other_details ) # Sales ( sales_transaction_id, sales_details ) # Purchases ( purchase_transaction_id, purchase_details ) # Transactions_Lots ( transaction_id, lot_id ) # # Lots.investor_id can be joined with Investors.investor_id # Transactions.transaction_type_code can be joined with Ref_Transaction_Types.transaction_type_code # Transactions.investor_id can be joined with Investors.investor_id # Sales.sales_transaction_id can be joined with Transactions.transaction_id # Purchases.purchase_transaction_id can be joined with Transactions.transaction_id # Transactions_Lots.transaction_id can be joined with Transactions.transaction_id # Transactions_Lots.lot_id can be joined with Lots.lot_id # ### Question: # # What are the sale details and dates of transactions with amount smaller than 3000? # ### SQL: # # SELECT T1.sales_details , T2.date_of_transaction FROM SALES AS T1 JOIN TRANSACTIONS AS T2 ON T1.sales_transaction_id = T2.transaction_id WHERE T2.amount_of_transaction < 3000 # ### End.
tracking_share_transactions	### Complete SQL query only and with no explanation ### SQL tables followed by foreign key information: # # Investors ( investor_id, Investor_details ) # Lots ( lot_id, investor_id, lot_details ) # Ref_Transaction_Types ( transaction_type_code, transaction_type_description ) # Transactions ( transaction_id, investor_id, transaction_type_code, date_of_transaction, amount_of_transaction, share_count, other_details ) # Sales ( sales_transaction_id, sales_details ) # Purchases ( purchase_transaction_id, purchase_details ) # Transactions_Lots ( transaction_id, lot_id ) # # Lots.investor_id can be joined with Investors.investor_id # Transactions.transaction_type_code can be joined with Ref_Transaction_Types.transaction_type_code # Transactions.investor_id can be joined with Investors.investor_id # Sales.sales_transaction_id can be joined with Transactions.transaction_id # Purchases.purchase_transaction_id can be joined with Transactions.transaction_id # Transactions_Lots.transaction_id can be joined with Transactions.transaction_id # Transactions_Lots.lot_id can be joined with Lots.lot_id # ### Question: # # What are the lot details of lots associated with transactions with share count smaller than 50? # ### SQL: # # SELECT T1.lot_details FROM LOTS AS T1 JOIN TRANSACTIONS_LOTS AS T2 ON T1.lot_id = T2.transaction_id JOIN TRANSACTIONS AS T3 ON T2.transaction_id = T3.transaction_id WHERE T3.share_count < 50 # ### End.
tracking_share_transactions	### Complete SQL query only and with no explanation ### SQL tables followed by foreign key information: # # Investors ( investor_id, Investor_details ) # Lots ( lot_id, investor_id, lot_details ) # Ref_Transaction_Types ( transaction_type_code, transaction_type_description ) # Transactions ( transaction_id, investor_id, transaction_type_code, date_of_transaction, amount_of_transaction, share_count, other_details ) # Sales ( sales_transaction_id, sales_details ) # Purchases ( purchase_transaction_id, purchase_details ) # Transactions_Lots ( transaction_id, lot_id ) # # Lots.investor_id can be joined with Investors.investor_id # Transactions.transaction_type_code can be joined with Ref_Transaction_Types.transaction_type_code # Transactions.investor_id can be joined with Investors.investor_id # Sales.sales_transaction_id can be joined with Transactions.transaction_id # Purchases.purchase_transaction_id can be joined with Transactions.transaction_id # Transactions_Lots.transaction_id can be joined with Transactions.transaction_id # Transactions_Lots.lot_id can be joined with Lots.lot_id # ### Question: # # What are the lot details of lots associated with transactions whose share count is bigger than 100 and whose type code is "PUR"? # ### SQL: # # SELECT T1.lot_details FROM LOTS AS T1 JOIN TRANSACTIONS_LOTS AS T2 ON T1.lot_id = T2.transaction_id JOIN TRANSACTIONS AS T3 ON T2.transaction_id = T3.transaction_id WHERE T3.share_count > 100 AND T3.transaction_type_code = "PUR" # ### End.
tracking_share_transactions	### Complete SQL query only and with no explanation ### SQL tables followed by foreign key information: # # Investors ( investor_id, Investor_details ) # Lots ( lot_id, investor_id, lot_details ) # Ref_Transaction_Types ( transaction_type_code, transaction_type_description ) # Transactions ( transaction_id, investor_id, transaction_type_code, date_of_transaction, amount_of_transaction, share_count, other_details ) # Sales ( sales_transaction_id, sales_details ) # Purchases ( purchase_transaction_id, purchase_details ) # Transactions_Lots ( transaction_id, lot_id ) # # Lots.investor_id can be joined with Investors.investor_id # Transactions.transaction_type_code can be joined with Ref_Transaction_Types.transaction_type_code # Transactions.investor_id can be joined with Investors.investor_id # Sales.sales_transaction_id can be joined with Transactions.transaction_id # Purchases.purchase_transaction_id can be joined with Transactions.transaction_id # Transactions_Lots.transaction_id can be joined with Transactions.transaction_id # Transactions_Lots.lot_id can be joined with Lots.lot_id # ### Question: # # Show the average transaction amount for different transaction types. # ### SQL: # # SELECT transaction_type_code , avg(amount_of_transaction) FROM TRANSACTIONS GROUP BY transaction_type_code # ### End.
tracking_share_transactions	### Complete SQL query only and with no explanation ### SQL tables followed by foreign key information: # # Investors ( investor_id, Investor_details ) # Lots ( lot_id, investor_id, lot_details ) # Ref_Transaction_Types ( transaction_type_code, transaction_type_description ) # Transactions ( transaction_id, investor_id, transaction_type_code, date_of_transaction, amount_of_transaction, share_count, other_details ) # Sales ( sales_transaction_id, sales_details ) # Purchases ( purchase_transaction_id, purchase_details ) # Transactions_Lots ( transaction_id, lot_id ) # # Lots.investor_id can be joined with Investors.investor_id # Transactions.transaction_type_code can be joined with Ref_Transaction_Types.transaction_type_code # Transactions.investor_id can be joined with Investors.investor_id # Sales.sales_transaction_id can be joined with Transactions.transaction_id # Purchases.purchase_transaction_id can be joined with Transactions.transaction_id # Transactions_Lots.transaction_id can be joined with Transactions.transaction_id # Transactions_Lots.lot_id can be joined with Lots.lot_id # ### Question: # # Show the maximum and minimum share count of different transaction types. # ### SQL: # # SELECT transaction_type_code , max(share_count) , min(share_count) FROM TRANSACTIONS GROUP BY transaction_type_code # ### End.
tracking_share_transactions	### Complete SQL query only and with no explanation ### SQL tables followed by foreign key information: # # Investors ( investor_id, Investor_details ) # Lots ( lot_id, investor_id, lot_details ) # Ref_Transaction_Types ( transaction_type_code, transaction_type_description ) # Transactions ( transaction_id, investor_id, transaction_type_code, date_of_transaction, amount_of_transaction, share_count, other_details ) # Sales ( sales_transaction_id, sales_details ) # Purchases ( purchase_transaction_id, purchase_details ) # Transactions_Lots ( transaction_id, lot_id ) # # Lots.investor_id can be joined with Investors.investor_id # Transactions.transaction_type_code can be joined with Ref_Transaction_Types.transaction_type_code # Transactions.investor_id can be joined with Investors.investor_id # Sales.sales_transaction_id can be joined with Transactions.transaction_id # Purchases.purchase_transaction_id can be joined with Transactions.transaction_id # Transactions_Lots.transaction_id can be joined with Transactions.transaction_id # Transactions_Lots.lot_id can be joined with Lots.lot_id # ### Question: # # Show the average share count of transactions for different investors. # ### SQL: # # SELECT investor_id , avg(share_count) FROM TRANSACTIONS GROUP BY investor_id # ### End.
tracking_share_transactions	### Complete SQL query only and with no explanation ### SQL tables followed by foreign key information: # # Investors ( investor_id, Investor_details ) # Lots ( lot_id, investor_id, lot_details ) # Ref_Transaction_Types ( transaction_type_code, transaction_type_description ) # Transactions ( transaction_id, investor_id, transaction_type_code, date_of_transaction, amount_of_transaction, share_count, other_details ) # Sales ( sales_transaction_id, sales_details ) # Purchases ( purchase_transaction_id, purchase_details ) # Transactions_Lots ( transaction_id, lot_id ) # # Lots.investor_id can be joined with Investors.investor_id # Transactions.transaction_type_code can be joined with Ref_Transaction_Types.transaction_type_code # Transactions.investor_id can be joined with Investors.investor_id # Sales.sales_transaction_id can be joined with Transactions.transaction_id # Purchases.purchase_transaction_id can be joined with Transactions.transaction_id # Transactions_Lots.transaction_id can be joined with Transactions.transaction_id # Transactions_Lots.lot_id can be joined with Lots.lot_id # ### Question: # # Show the average share count of transactions each each investor, ordered by average share count. # ### SQL: # # SELECT investor_id , avg(share_count) FROM TRANSACTIONS GROUP BY investor_id ORDER BY avg(share_count) # ### End.
tracking_share_transactions	### Complete SQL query only and with no explanation ### SQL tables followed by foreign key information: # # Investors ( investor_id, Investor_details ) # Lots ( lot_id, investor_id, lot_details ) # Ref_Transaction_Types ( transaction_type_code, transaction_type_description ) # Transactions ( transaction_id, investor_id, transaction_type_code, date_of_transaction, amount_of_transaction, share_count, other_details ) # Sales ( sales_transaction_id, sales_details ) # Purchases ( purchase_transaction_id, purchase_details ) # Transactions_Lots ( transaction_id, lot_id ) # # Lots.investor_id can be joined with Investors.investor_id # Transactions.transaction_type_code can be joined with Ref_Transaction_Types.transaction_type_code # Transactions.investor_id can be joined with Investors.investor_id # Sales.sales_transaction_id can be joined with Transactions.transaction_id # Purchases.purchase_transaction_id can be joined with Transactions.transaction_id # Transactions_Lots.transaction_id can be joined with Transactions.transaction_id # Transactions_Lots.lot_id can be joined with Lots.lot_id # ### Question: # # Show the average amount of transactions for different investors. # ### SQL: # # SELECT investor_id , avg(amount_of_transaction) FROM TRANSACTIONS GROUP BY investor_id # ### End.
tracking_share_transactions	### Complete SQL query only and with no explanation ### SQL tables followed by foreign key information: # # Investors ( investor_id, Investor_details ) # Lots ( lot_id, investor_id, lot_details ) # Ref_Transaction_Types ( transaction_type_code, transaction_type_description ) # Transactions ( transaction_id, investor_id, transaction_type_code, date_of_transaction, amount_of_transaction, share_count, other_details ) # Sales ( sales_transaction_id, sales_details ) # Purchases ( purchase_transaction_id, purchase_details ) # Transactions_Lots ( transaction_id, lot_id ) # # Lots.investor_id can be joined with Investors.investor_id # Transactions.transaction_type_code can be joined with Ref_Transaction_Types.transaction_type_code # Transactions.investor_id can be joined with Investors.investor_id # Sales.sales_transaction_id can be joined with Transactions.transaction_id # Purchases.purchase_transaction_id can be joined with Transactions.transaction_id # Transactions_Lots.transaction_id can be joined with Transactions.transaction_id # Transactions_Lots.lot_id can be joined with Lots.lot_id # ### Question: # # Show the average amount of transactions for different lots. # ### SQL: # # SELECT T2.lot_id , avg(amount_of_transaction) FROM TRANSACTIONS AS T1 JOIN Transactions_Lots AS T2 ON T1.transaction_id = T2.transaction_id GROUP BY T2.lot_id # ### End.
tracking_share_transactions	### Complete SQL query only and with no explanation ### SQL tables followed by foreign key information: # # Investors ( investor_id, Investor_details ) # Lots ( lot_id, investor_id, lot_details ) # Ref_Transaction_Types ( transaction_type_code, transaction_type_description ) # Transactions ( transaction_id, investor_id, transaction_type_code, date_of_transaction, amount_of_transaction, share_count, other_details ) # Sales ( sales_transaction_id, sales_details ) # Purchases ( purchase_transaction_id, purchase_details ) # Transactions_Lots ( transaction_id, lot_id ) # # Lots.investor_id can be joined with Investors.investor_id # Transactions.transaction_type_code can be joined with Ref_Transaction_Types.transaction_type_code # Transactions.investor_id can be joined with Investors.investor_id # Sales.sales_transaction_id can be joined with Transactions.transaction_id # Purchases.purchase_transaction_id can be joined with Transactions.transaction_id # Transactions_Lots.transaction_id can be joined with Transactions.transaction_id # Transactions_Lots.lot_id can be joined with Lots.lot_id # ### Question: # # Show the average amount of transactions for different lots, ordered by average amount of transactions. # ### SQL: # # SELECT T2.lot_id , avg(amount_of_transaction) FROM TRANSACTIONS AS T1 JOIN Transactions_Lots AS T2 ON T1.transaction_id = T2.transaction_id GROUP BY T2.lot_id ORDER BY avg(amount_of_transaction) # ### End.
tracking_share_transactions	### Complete SQL query only and with no explanation ### SQL tables followed by foreign key information: # # Investors ( investor_id, Investor_details ) # Lots ( lot_id, investor_id, lot_details ) # Ref_Transaction_Types ( transaction_type_code, transaction_type_description ) # Transactions ( transaction_id, investor_id, transaction_type_code, date_of_transaction, amount_of_transaction, share_count, other_details ) # Sales ( sales_transaction_id, sales_details ) # Purchases ( purchase_transaction_id, purchase_details ) # Transactions_Lots ( transaction_id, lot_id ) # # Lots.investor_id can be joined with Investors.investor_id # Transactions.transaction_type_code can be joined with Ref_Transaction_Types.transaction_type_code # Transactions.investor_id can be joined with Investors.investor_id # Sales.sales_transaction_id can be joined with Transactions.transaction_id # Purchases.purchase_transaction_id can be joined with Transactions.transaction_id # Transactions_Lots.transaction_id can be joined with Transactions.transaction_id # Transactions_Lots.lot_id can be joined with Lots.lot_id # ### Question: # # Show the number of transactions with transaction type code "SALE" for different investors if it is larger than 0. # ### SQL: # # SELECT investor_id , COUNT(*) FROM TRANSACTIONS WHERE transaction_type_code = "SALE" GROUP BY investor_id # ### End.
tracking_share_transactions	### Complete SQL query only and with no explanation ### SQL tables followed by foreign key information: # # Investors ( investor_id, Investor_details ) # Lots ( lot_id, investor_id, lot_details ) # Ref_Transaction_Types ( transaction_type_code, transaction_type_description ) # Transactions ( transaction_id, investor_id, transaction_type_code, date_of_transaction, amount_of_transaction, share_count, other_details ) # Sales ( sales_transaction_id, sales_details ) # Purchases ( purchase_transaction_id, purchase_details ) # Transactions_Lots ( transaction_id, lot_id ) # # Lots.investor_id can be joined with Investors.investor_id # Transactions.transaction_type_code can be joined with Ref_Transaction_Types.transaction_type_code # Transactions.investor_id can be joined with Investors.investor_id # Sales.sales_transaction_id can be joined with Transactions.transaction_id # Purchases.purchase_transaction_id can be joined with Transactions.transaction_id # Transactions_Lots.transaction_id can be joined with Transactions.transaction_id # Transactions_Lots.lot_id can be joined with Lots.lot_id # ### Question: # # Show the number of transactions for different investors. # ### SQL: # # SELECT investor_id , COUNT(*) FROM TRANSACTIONS GROUP BY investor_id # ### End.
tracking_share_transactions	### Complete SQL query only and with no explanation ### SQL tables followed by foreign key information: # # Investors ( investor_id, Investor_details ) # Lots ( lot_id, investor_id, lot_details ) # Ref_Transaction_Types ( transaction_type_code, transaction_type_description ) # Transactions ( transaction_id, investor_id, transaction_type_code, date_of_transaction, amount_of_transaction, share_count, other_details ) # Sales ( sales_transaction_id, sales_details ) # Purchases ( purchase_transaction_id, purchase_details ) # Transactions_Lots ( transaction_id, lot_id ) # # Lots.investor_id can be joined with Investors.investor_id # Transactions.transaction_type_code can be joined with Ref_Transaction_Types.transaction_type_code # Transactions.investor_id can be joined with Investors.investor_id # Sales.sales_transaction_id can be joined with Transactions.transaction_id # Purchases.purchase_transaction_id can be joined with Transactions.transaction_id # Transactions_Lots.transaction_id can be joined with Transactions.transaction_id # Transactions_Lots.lot_id can be joined with Lots.lot_id # ### Question: # # Show the transaction type code that occurs the fewest times. # ### SQL: # # SELECT transaction_type_code FROM TRANSACTIONS GROUP BY transaction_type_code ORDER BY COUNT(*) ASC LIMIT 1 # ### End.
tracking_share_transactions	### Complete SQL query only and with no explanation ### SQL tables followed by foreign key information: # # Investors ( investor_id, Investor_details ) # Lots ( lot_id, investor_id, lot_details ) # Ref_Transaction_Types ( transaction_type_code, transaction_type_description ) # Transactions ( transaction_id, investor_id, transaction_type_code, date_of_transaction, amount_of_transaction, share_count, other_details ) # Sales ( sales_transaction_id, sales_details ) # Purchases ( purchase_transaction_id, purchase_details ) # Transactions_Lots ( transaction_id, lot_id ) # # Lots.investor_id can be joined with Investors.investor_id # Transactions.transaction_type_code can be joined with Ref_Transaction_Types.transaction_type_code # Transactions.investor_id can be joined with Investors.investor_id # Sales.sales_transaction_id can be joined with Transactions.transaction_id # Purchases.purchase_transaction_id can be joined with Transactions.transaction_id # Transactions_Lots.transaction_id can be joined with Transactions.transaction_id # Transactions_Lots.lot_id can be joined with Lots.lot_id # ### Question: # # Show the transaction type code that occurs the most frequently. # ### SQL: # # SELECT transaction_type_code FROM TRANSACTIONS GROUP BY transaction_type_code ORDER BY COUNT(*) DESC LIMIT 1 # ### End.
tracking_share_transactions	### Complete SQL query only and with no explanation ### SQL tables followed by foreign key information: # # Investors ( investor_id, Investor_details ) # Lots ( lot_id, investor_id, lot_details ) # Ref_Transaction_Types ( transaction_type_code, transaction_type_description ) # Transactions ( transaction_id, investor_id, transaction_type_code, date_of_transaction, amount_of_transaction, share_count, other_details ) # Sales ( sales_transaction_id, sales_details ) # Purchases ( purchase_transaction_id, purchase_details ) # Transactions_Lots ( transaction_id, lot_id ) # # Lots.investor_id can be joined with Investors.investor_id # Transactions.transaction_type_code can be joined with Ref_Transaction_Types.transaction_type_code # Transactions.investor_id can be joined with Investors.investor_id # Sales.sales_transaction_id can be joined with Transactions.transaction_id # Purchases.purchase_transaction_id can be joined with Transactions.transaction_id # Transactions_Lots.transaction_id can be joined with Transactions.transaction_id # Transactions_Lots.lot_id can be joined with Lots.lot_id # ### Question: # # Show the description of the transaction type that occurs most frequently. # ### SQL: # # SELECT T1.transaction_type_description FROM Ref_Transaction_Types AS T1 JOIN TRANSACTIONS AS T2 ON T1.transaction_type_code = T2.transaction_type_code GROUP BY T1.transaction_type_code ORDER BY COUNT(*) DESC LIMIT 1 # ### End.
tracking_share_transactions	### Complete SQL query only and with no explanation ### SQL tables followed by foreign key information: # # Investors ( investor_id, Investor_details ) # Lots ( lot_id, investor_id, lot_details ) # Ref_Transaction_Types ( transaction_type_code, transaction_type_description ) # Transactions ( transaction_id, investor_id, transaction_type_code, date_of_transaction, amount_of_transaction, share_count, other_details ) # Sales ( sales_transaction_id, sales_details ) # Purchases ( purchase_transaction_id, purchase_details ) # Transactions_Lots ( transaction_id, lot_id ) # # Lots.investor_id can be joined with Investors.investor_id # Transactions.transaction_type_code can be joined with Ref_Transaction_Types.transaction_type_code # Transactions.investor_id can be joined with Investors.investor_id # Sales.sales_transaction_id can be joined with Transactions.transaction_id # Purchases.purchase_transaction_id can be joined with Transactions.transaction_id # Transactions_Lots.transaction_id can be joined with Transactions.transaction_id # Transactions_Lots.lot_id can be joined with Lots.lot_id # ### Question: # # Show the id and details of the investor that has the largest number of transactions. # ### SQL: # # SELECT T2.investor_id , T1.Investor_details FROM INVESTORS AS T1 JOIN TRANSACTIONS AS T2 ON T1.investor_id = T2.investor_id GROUP BY T2.investor_id ORDER BY COUNT(*) DESC LIMIT 1 # ### End.
tracking_share_transactions	### Complete SQL query only and with no explanation ### SQL tables followed by foreign key information: # # Investors ( investor_id, Investor_details ) # Lots ( lot_id, investor_id, lot_details ) # Ref_Transaction_Types ( transaction_type_code, transaction_type_description ) # Transactions ( transaction_id, investor_id, transaction_type_code, date_of_transaction, amount_of_transaction, share_count, other_details ) # Sales ( sales_transaction_id, sales_details ) # Purchases ( purchase_transaction_id, purchase_details ) # Transactions_Lots ( transaction_id, lot_id ) # # Lots.investor_id can be joined with Investors.investor_id # Transactions.transaction_type_code can be joined with Ref_Transaction_Types.transaction_type_code # Transactions.investor_id can be joined with Investors.investor_id # Sales.sales_transaction_id can be joined with Transactions.transaction_id # Purchases.purchase_transaction_id can be joined with Transactions.transaction_id # Transactions_Lots.transaction_id can be joined with Transactions.transaction_id # Transactions_Lots.lot_id can be joined with Lots.lot_id # ### Question: # # Show the id and details for the investors who have the top 3 number of transactions. # ### SQL: # # SELECT T2.investor_id , T1.Investor_details FROM INVESTORS AS T1 JOIN TRANSACTIONS AS T2 ON T1.investor_id = T2.investor_id GROUP BY T2.investor_id ORDER BY COUNT(*) DESC LIMIT 3 # ### End.
tracking_share_transactions	### Complete SQL query only and with no explanation ### SQL tables followed by foreign key information: # # Investors ( investor_id, Investor_details ) # Lots ( lot_id, investor_id, lot_details ) # Ref_Transaction_Types ( transaction_type_code, transaction_type_description ) # Transactions ( transaction_id, investor_id, transaction_type_code, date_of_transaction, amount_of_transaction, share_count, other_details ) # Sales ( sales_transaction_id, sales_details ) # Purchases ( purchase_transaction_id, purchase_details ) # Transactions_Lots ( transaction_id, lot_id ) # # Lots.investor_id can be joined with Investors.investor_id # Transactions.transaction_type_code can be joined with Ref_Transaction_Types.transaction_type_code # Transactions.investor_id can be joined with Investors.investor_id # Sales.sales_transaction_id can be joined with Transactions.transaction_id # Purchases.purchase_transaction_id can be joined with Transactions.transaction_id # Transactions_Lots.transaction_id can be joined with Transactions.transaction_id # Transactions_Lots.lot_id can be joined with Lots.lot_id # ### Question: # # Show the ids of the investors who have at least two transactions. # ### SQL: # # SELECT T2.investor_id FROM INVESTORS AS T1 JOIN TRANSACTIONS AS T2 ON T1.investor_id = T2.investor_id GROUP BY T2.investor_id HAVING COUNT(*) >= 2 # ### End.
tracking_share_transactions	### Complete SQL query only and with no explanation ### SQL tables followed by foreign key information: # # Investors ( investor_id, Investor_details ) # Lots ( lot_id, investor_id, lot_details ) # Ref_Transaction_Types ( transaction_type_code, transaction_type_description ) # Transactions ( transaction_id, investor_id, transaction_type_code, date_of_transaction, amount_of_transaction, share_count, other_details ) # Sales ( sales_transaction_id, sales_details ) # Purchases ( purchase_transaction_id, purchase_details ) # Transactions_Lots ( transaction_id, lot_id ) # # Lots.investor_id can be joined with Investors.investor_id # Transactions.transaction_type_code can be joined with Ref_Transaction_Types.transaction_type_code # Transactions.investor_id can be joined with Investors.investor_id # Sales.sales_transaction_id can be joined with Transactions.transaction_id # Purchases.purchase_transaction_id can be joined with Transactions.transaction_id # Transactions_Lots.transaction_id can be joined with Transactions.transaction_id # Transactions_Lots.lot_id can be joined with Lots.lot_id # ### Question: # # Show the ids and details of the investors who have at least two transactions with type code "SALE". # ### SQL: # # SELECT T2.investor_id , T1.Investor_details FROM INVESTORS AS T1 JOIN TRANSACTIONS AS T2 ON T1.investor_id = T2.investor_id WHERE T2.transaction_type_code = "SALE" GROUP BY T2.investor_id HAVING COUNT(*) >= 2 # ### End.
tracking_share_transactions	### Complete SQL query only and with no explanation ### SQL tables followed by foreign key information: # # Investors ( investor_id, Investor_details ) # Lots ( lot_id, investor_id, lot_details ) # Ref_Transaction_Types ( transaction_type_code, transaction_type_description ) # Transactions ( transaction_id, investor_id, transaction_type_code, date_of_transaction, amount_of_transaction, share_count, other_details ) # Sales ( sales_transaction_id, sales_details ) # Purchases ( purchase_transaction_id, purchase_details ) # Transactions_Lots ( transaction_id, lot_id ) # # Lots.investor_id can be joined with Investors.investor_id # Transactions.transaction_type_code can be joined with Ref_Transaction_Types.transaction_type_code # Transactions.investor_id can be joined with Investors.investor_id # Sales.sales_transaction_id can be joined with Transactions.transaction_id # Purchases.purchase_transaction_id can be joined with Transactions.transaction_id # Transactions_Lots.transaction_id can be joined with Transactions.transaction_id # Transactions_Lots.lot_id can be joined with Lots.lot_id # ### Question: # # What are the dates of transactions with at least 100 share count or amount bigger than 100? # ### SQL: # # SELECT date_of_transaction FROM TRANSACTIONS WHERE share_count >= 100 OR amount_of_transaction >= 100 # ### End.
tracking_share_transactions	### Complete SQL query only and with no explanation ### SQL tables followed by foreign key information: # # Investors ( investor_id, Investor_details ) # Lots ( lot_id, investor_id, lot_details ) # Ref_Transaction_Types ( transaction_type_code, transaction_type_description ) # Transactions ( transaction_id, investor_id, transaction_type_code, date_of_transaction, amount_of_transaction, share_count, other_details ) # Sales ( sales_transaction_id, sales_details ) # Purchases ( purchase_transaction_id, purchase_details ) # Transactions_Lots ( transaction_id, lot_id ) # # Lots.investor_id can be joined with Investors.investor_id # Transactions.transaction_type_code can be joined with Ref_Transaction_Types.transaction_type_code # Transactions.investor_id can be joined with Investors.investor_id # Sales.sales_transaction_id can be joined with Transactions.transaction_id # Purchases.purchase_transaction_id can be joined with Transactions.transaction_id # Transactions_Lots.transaction_id can be joined with Transactions.transaction_id # Transactions_Lots.lot_id can be joined with Lots.lot_id # ### Question: # # What are the details of all sales and purchases? # ### SQL: # # SELECT sales_details FROM sales UNION SELECT purchase_details FROM purchases # ### End.
tracking_share_transactions	### Complete SQL query only and with no explanation ### SQL tables followed by foreign key information: # # Investors ( investor_id, Investor_details ) # Lots ( lot_id, investor_id, lot_details ) # Ref_Transaction_Types ( transaction_type_code, transaction_type_description ) # Transactions ( transaction_id, investor_id, transaction_type_code, date_of_transaction, amount_of_transaction, share_count, other_details ) # Sales ( sales_transaction_id, sales_details ) # Purchases ( purchase_transaction_id, purchase_details ) # Transactions_Lots ( transaction_id, lot_id ) # # Lots.investor_id can be joined with Investors.investor_id # Transactions.transaction_type_code can be joined with Ref_Transaction_Types.transaction_type_code # Transactions.investor_id can be joined with Investors.investor_id # Sales.sales_transaction_id can be joined with Transactions.transaction_id # Purchases.purchase_transaction_id can be joined with Transactions.transaction_id # Transactions_Lots.transaction_id can be joined with Transactions.transaction_id # Transactions_Lots.lot_id can be joined with Lots.lot_id # ### Question: # # What are the details of the lots which are not used in any transactions? # ### SQL: # # SELECT lot_details FROM Lots EXCEPT SELECT T1.lot_details FROM Lots AS T1 JOIN transactions_lots AS T2 ON T1.lot_id = T2.lot_id # ### End.
cre_Theme_park	### Complete SQL query only and with no explanation ### SQL tables followed by foreign key information: # # Ref_Hotel_Star_Ratings ( star_rating_code, star_rating_description ) # Locations ( Location_ID, Location_Name, Address, Other_Details ) # Ref_Attraction_Types ( Attraction_Type_Code, Attraction_Type_Description ) # Visitors ( Tourist_ID, Tourist_Details ) # Features ( Feature_ID, Feature_Details ) # Hotels ( hotel_id, star_rating_code, pets_allowed_yn, price_range, other_hotel_details ) # Tourist_Attractions ( Tourist_Attraction_ID, Attraction_Type_Code, Location_ID, How_to_Get_There, Name, Description, Opening_Hours, Other_Details ) # Street_Markets ( Market_ID, Market_Details ) # Shops ( Shop_ID, Shop_Details ) # Museums ( Museum_ID, Museum_Details ) # Royal_Family ( Royal_Family_ID, Royal_Family_Details ) # Theme_Parks ( Theme_Park_ID, Theme_Park_Details ) # Visits ( Visit_ID, Tourist_Attraction_ID, Tourist_ID, Visit_Date, Visit_Details ) # Photos ( Photo_ID, Tourist_Attraction_ID, Name, Description, Filename, Other_Details ) # Staff ( Staff_ID, Tourist_Attraction_ID, Name, Other_Details ) # Tourist_Attraction_Features ( Tourist_Attraction_ID, Feature_ID ) # # Hotels.star_rating_code can be joined with Ref_Hotel_Star_Ratings.star_rating_code # Tourist_Attractions.Attraction_Type_Code can be joined with Ref_Attraction_Types.Attraction_Type_Code # Tourist_Attractions.Location_ID can be joined with Locations.Location_ID # Street_Markets.Market_ID can be joined with Tourist_Attractions.Tourist_Attraction_ID # Shops.Shop_ID can be joined with Tourist_Attractions.Tourist_Attraction_ID # Museums.Museum_ID can be joined with Tourist_Attractions.Tourist_Attraction_ID # Royal_Family.Royal_Family_ID can be joined with Tourist_Attractions.Tourist_Attraction_ID # Theme_Parks.Theme_Park_ID can be joined with Tourist_Attractions.Tourist_Attraction_ID # Visits.Tourist_ID can be joined with Visitors.Tourist_ID # Visits.Tourist_Attraction_ID can be joined with Tourist_Attractions.Tourist_Attraction_ID # Photos.Tourist_Attraction_ID can be joined with Tourist_Attractions.Tourist_Attraction_ID # Staff.Tourist_Attraction_ID can be joined with Tourist_Attractions.Tourist_Attraction_ID # Tourist_Attraction_Features.Feature_ID can be joined with Features.Feature_ID # Tourist_Attraction_Features.Tourist_Attraction_ID can be joined with Tourist_Attractions.Tourist_Attraction_ID # ### Question: # # How many available hotels are there in total? # ### SQL: # # SELECT count(*) FROM HOTELS # ### End.
cre_Theme_park	### Complete SQL query only and with no explanation ### SQL tables followed by foreign key information: # # Ref_Hotel_Star_Ratings ( star_rating_code, star_rating_description ) # Locations ( Location_ID, Location_Name, Address, Other_Details ) # Ref_Attraction_Types ( Attraction_Type_Code, Attraction_Type_Description ) # Visitors ( Tourist_ID, Tourist_Details ) # Features ( Feature_ID, Feature_Details ) # Hotels ( hotel_id, star_rating_code, pets_allowed_yn, price_range, other_hotel_details ) # Tourist_Attractions ( Tourist_Attraction_ID, Attraction_Type_Code, Location_ID, How_to_Get_There, Name, Description, Opening_Hours, Other_Details ) # Street_Markets ( Market_ID, Market_Details ) # Shops ( Shop_ID, Shop_Details ) # Museums ( Museum_ID, Museum_Details ) # Royal_Family ( Royal_Family_ID, Royal_Family_Details ) # Theme_Parks ( Theme_Park_ID, Theme_Park_Details ) # Visits ( Visit_ID, Tourist_Attraction_ID, Tourist_ID, Visit_Date, Visit_Details ) # Photos ( Photo_ID, Tourist_Attraction_ID, Name, Description, Filename, Other_Details ) # Staff ( Staff_ID, Tourist_Attraction_ID, Name, Other_Details ) # Tourist_Attraction_Features ( Tourist_Attraction_ID, Feature_ID ) # # Hotels.star_rating_code can be joined with Ref_Hotel_Star_Ratings.star_rating_code # Tourist_Attractions.Attraction_Type_Code can be joined with Ref_Attraction_Types.Attraction_Type_Code # Tourist_Attractions.Location_ID can be joined with Locations.Location_ID # Street_Markets.Market_ID can be joined with Tourist_Attractions.Tourist_Attraction_ID # Shops.Shop_ID can be joined with Tourist_Attractions.Tourist_Attraction_ID # Museums.Museum_ID can be joined with Tourist_Attractions.Tourist_Attraction_ID # Royal_Family.Royal_Family_ID can be joined with Tourist_Attractions.Tourist_Attraction_ID # Theme_Parks.Theme_Park_ID can be joined with Tourist_Attractions.Tourist_Attraction_ID # Visits.Tourist_ID can be joined with Visitors.Tourist_ID # Visits.Tourist_Attraction_ID can be joined with Tourist_Attractions.Tourist_Attraction_ID # Photos.Tourist_Attraction_ID can be joined with Tourist_Attractions.Tourist_Attraction_ID # Staff.Tourist_Attraction_ID can be joined with Tourist_Attractions.Tourist_Attraction_ID # Tourist_Attraction_Features.Feature_ID can be joined with Features.Feature_ID # Tourist_Attraction_Features.Tourist_Attraction_ID can be joined with Tourist_Attractions.Tourist_Attraction_ID # ### Question: # # Find the total number of available hotels. # ### SQL: # # SELECT count(*) FROM HOTELS # ### End.
cre_Theme_park	### Complete SQL query only and with no explanation ### SQL tables followed by foreign key information: # # Ref_Hotel_Star_Ratings ( star_rating_code, star_rating_description ) # Locations ( Location_ID, Location_Name, Address, Other_Details ) # Ref_Attraction_Types ( Attraction_Type_Code, Attraction_Type_Description ) # Visitors ( Tourist_ID, Tourist_Details ) # Features ( Feature_ID, Feature_Details ) # Hotels ( hotel_id, star_rating_code, pets_allowed_yn, price_range, other_hotel_details ) # Tourist_Attractions ( Tourist_Attraction_ID, Attraction_Type_Code, Location_ID, How_to_Get_There, Name, Description, Opening_Hours, Other_Details ) # Street_Markets ( Market_ID, Market_Details ) # Shops ( Shop_ID, Shop_Details ) # Museums ( Museum_ID, Museum_Details ) # Royal_Family ( Royal_Family_ID, Royal_Family_Details ) # Theme_Parks ( Theme_Park_ID, Theme_Park_Details ) # Visits ( Visit_ID, Tourist_Attraction_ID, Tourist_ID, Visit_Date, Visit_Details ) # Photos ( Photo_ID, Tourist_Attraction_ID, Name, Description, Filename, Other_Details ) # Staff ( Staff_ID, Tourist_Attraction_ID, Name, Other_Details ) # Tourist_Attraction_Features ( Tourist_Attraction_ID, Feature_ID ) # # Hotels.star_rating_code can be joined with Ref_Hotel_Star_Ratings.star_rating_code # Tourist_Attractions.Attraction_Type_Code can be joined with Ref_Attraction_Types.Attraction_Type_Code # Tourist_Attractions.Location_ID can be joined with Locations.Location_ID # Street_Markets.Market_ID can be joined with Tourist_Attractions.Tourist_Attraction_ID # Shops.Shop_ID can be joined with Tourist_Attractions.Tourist_Attraction_ID # Museums.Museum_ID can be joined with Tourist_Attractions.Tourist_Attraction_ID # Royal_Family.Royal_Family_ID can be joined with Tourist_Attractions.Tourist_Attraction_ID # Theme_Parks.Theme_Park_ID can be joined with Tourist_Attractions.Tourist_Attraction_ID # Visits.Tourist_ID can be joined with Visitors.Tourist_ID # Visits.Tourist_Attraction_ID can be joined with Tourist_Attractions.Tourist_Attraction_ID # Photos.Tourist_Attraction_ID can be joined with Tourist_Attractions.Tourist_Attraction_ID # Staff.Tourist_Attraction_ID can be joined with Tourist_Attractions.Tourist_Attraction_ID # Tourist_Attraction_Features.Feature_ID can be joined with Features.Feature_ID # Tourist_Attraction_Features.Tourist_Attraction_ID can be joined with Tourist_Attractions.Tourist_Attraction_ID # ### Question: # # What are the price ranges of hotels? # ### SQL: # # SELECT price_range FROM HOTELS # ### End.
cre_Theme_park	### Complete SQL query only and with no explanation ### SQL tables followed by foreign key information: # # Ref_Hotel_Star_Ratings ( star_rating_code, star_rating_description ) # Locations ( Location_ID, Location_Name, Address, Other_Details ) # Ref_Attraction_Types ( Attraction_Type_Code, Attraction_Type_Description ) # Visitors ( Tourist_ID, Tourist_Details ) # Features ( Feature_ID, Feature_Details ) # Hotels ( hotel_id, star_rating_code, pets_allowed_yn, price_range, other_hotel_details ) # Tourist_Attractions ( Tourist_Attraction_ID, Attraction_Type_Code, Location_ID, How_to_Get_There, Name, Description, Opening_Hours, Other_Details ) # Street_Markets ( Market_ID, Market_Details ) # Shops ( Shop_ID, Shop_Details ) # Museums ( Museum_ID, Museum_Details ) # Royal_Family ( Royal_Family_ID, Royal_Family_Details ) # Theme_Parks ( Theme_Park_ID, Theme_Park_Details ) # Visits ( Visit_ID, Tourist_Attraction_ID, Tourist_ID, Visit_Date, Visit_Details ) # Photos ( Photo_ID, Tourist_Attraction_ID, Name, Description, Filename, Other_Details ) # Staff ( Staff_ID, Tourist_Attraction_ID, Name, Other_Details ) # Tourist_Attraction_Features ( Tourist_Attraction_ID, Feature_ID ) # # Hotels.star_rating_code can be joined with Ref_Hotel_Star_Ratings.star_rating_code # Tourist_Attractions.Attraction_Type_Code can be joined with Ref_Attraction_Types.Attraction_Type_Code # Tourist_Attractions.Location_ID can be joined with Locations.Location_ID # Street_Markets.Market_ID can be joined with Tourist_Attractions.Tourist_Attraction_ID # Shops.Shop_ID can be joined with Tourist_Attractions.Tourist_Attraction_ID # Museums.Museum_ID can be joined with Tourist_Attractions.Tourist_Attraction_ID # Royal_Family.Royal_Family_ID can be joined with Tourist_Attractions.Tourist_Attraction_ID # Theme_Parks.Theme_Park_ID can be joined with Tourist_Attractions.Tourist_Attraction_ID # Visits.Tourist_ID can be joined with Visitors.Tourist_ID # Visits.Tourist_Attraction_ID can be joined with Tourist_Attractions.Tourist_Attraction_ID # Photos.Tourist_Attraction_ID can be joined with Tourist_Attractions.Tourist_Attraction_ID # Staff.Tourist_Attraction_ID can be joined with Tourist_Attractions.Tourist_Attraction_ID # Tourist_Attraction_Features.Feature_ID can be joined with Features.Feature_ID # Tourist_Attraction_Features.Tourist_Attraction_ID can be joined with Tourist_Attractions.Tourist_Attraction_ID # ### Question: # # Tell me the price ranges for all the hotels. # ### SQL: # # SELECT price_range FROM HOTELS # ### End.
cre_Theme_park	### Complete SQL query only and with no explanation ### SQL tables followed by foreign key information: # # Ref_Hotel_Star_Ratings ( star_rating_code, star_rating_description ) # Locations ( Location_ID, Location_Name, Address, Other_Details ) # Ref_Attraction_Types ( Attraction_Type_Code, Attraction_Type_Description ) # Visitors ( Tourist_ID, Tourist_Details ) # Features ( Feature_ID, Feature_Details ) # Hotels ( hotel_id, star_rating_code, pets_allowed_yn, price_range, other_hotel_details ) # Tourist_Attractions ( Tourist_Attraction_ID, Attraction_Type_Code, Location_ID, How_to_Get_There, Name, Description, Opening_Hours, Other_Details ) # Street_Markets ( Market_ID, Market_Details ) # Shops ( Shop_ID, Shop_Details ) # Museums ( Museum_ID, Museum_Details ) # Royal_Family ( Royal_Family_ID, Royal_Family_Details ) # Theme_Parks ( Theme_Park_ID, Theme_Park_Details ) # Visits ( Visit_ID, Tourist_Attraction_ID, Tourist_ID, Visit_Date, Visit_Details ) # Photos ( Photo_ID, Tourist_Attraction_ID, Name, Description, Filename, Other_Details ) # Staff ( Staff_ID, Tourist_Attraction_ID, Name, Other_Details ) # Tourist_Attraction_Features ( Tourist_Attraction_ID, Feature_ID ) # # Hotels.star_rating_code can be joined with Ref_Hotel_Star_Ratings.star_rating_code # Tourist_Attractions.Attraction_Type_Code can be joined with Ref_Attraction_Types.Attraction_Type_Code # Tourist_Attractions.Location_ID can be joined with Locations.Location_ID # Street_Markets.Market_ID can be joined with Tourist_Attractions.Tourist_Attraction_ID # Shops.Shop_ID can be joined with Tourist_Attractions.Tourist_Attraction_ID # Museums.Museum_ID can be joined with Tourist_Attractions.Tourist_Attraction_ID # Royal_Family.Royal_Family_ID can be joined with Tourist_Attractions.Tourist_Attraction_ID # Theme_Parks.Theme_Park_ID can be joined with Tourist_Attractions.Tourist_Attraction_ID # Visits.Tourist_ID can be joined with Visitors.Tourist_ID # Visits.Tourist_Attraction_ID can be joined with Tourist_Attractions.Tourist_Attraction_ID # Photos.Tourist_Attraction_ID can be joined with Tourist_Attractions.Tourist_Attraction_ID # Staff.Tourist_Attraction_ID can be joined with Tourist_Attractions.Tourist_Attraction_ID # Tourist_Attraction_Features.Feature_ID can be joined with Features.Feature_ID # Tourist_Attraction_Features.Tourist_Attraction_ID can be joined with Tourist_Attractions.Tourist_Attraction_ID # ### Question: # # Show all distinct location names. # ### SQL: # # SELECT DISTINCT Location_Name FROM LOCATIONS # ### End.
cre_Theme_park	### Complete SQL query only and with no explanation ### SQL tables followed by foreign key information: # # Ref_Hotel_Star_Ratings ( star_rating_code, star_rating_description ) # Locations ( Location_ID, Location_Name, Address, Other_Details ) # Ref_Attraction_Types ( Attraction_Type_Code, Attraction_Type_Description ) # Visitors ( Tourist_ID, Tourist_Details ) # Features ( Feature_ID, Feature_Details ) # Hotels ( hotel_id, star_rating_code, pets_allowed_yn, price_range, other_hotel_details ) # Tourist_Attractions ( Tourist_Attraction_ID, Attraction_Type_Code, Location_ID, How_to_Get_There, Name, Description, Opening_Hours, Other_Details ) # Street_Markets ( Market_ID, Market_Details ) # Shops ( Shop_ID, Shop_Details ) # Museums ( Museum_ID, Museum_Details ) # Royal_Family ( Royal_Family_ID, Royal_Family_Details ) # Theme_Parks ( Theme_Park_ID, Theme_Park_Details ) # Visits ( Visit_ID, Tourist_Attraction_ID, Tourist_ID, Visit_Date, Visit_Details ) # Photos ( Photo_ID, Tourist_Attraction_ID, Name, Description, Filename, Other_Details ) # Staff ( Staff_ID, Tourist_Attraction_ID, Name, Other_Details ) # Tourist_Attraction_Features ( Tourist_Attraction_ID, Feature_ID ) # # Hotels.star_rating_code can be joined with Ref_Hotel_Star_Ratings.star_rating_code # Tourist_Attractions.Attraction_Type_Code can be joined with Ref_Attraction_Types.Attraction_Type_Code # Tourist_Attractions.Location_ID can be joined with Locations.Location_ID # Street_Markets.Market_ID can be joined with Tourist_Attractions.Tourist_Attraction_ID # Shops.Shop_ID can be joined with Tourist_Attractions.Tourist_Attraction_ID # Museums.Museum_ID can be joined with Tourist_Attractions.Tourist_Attraction_ID # Royal_Family.Royal_Family_ID can be joined with Tourist_Attractions.Tourist_Attraction_ID # Theme_Parks.Theme_Park_ID can be joined with Tourist_Attractions.Tourist_Attraction_ID # Visits.Tourist_ID can be joined with Visitors.Tourist_ID # Visits.Tourist_Attraction_ID can be joined with Tourist_Attractions.Tourist_Attraction_ID # Photos.Tourist_Attraction_ID can be joined with Tourist_Attractions.Tourist_Attraction_ID # Staff.Tourist_Attraction_ID can be joined with Tourist_Attractions.Tourist_Attraction_ID # Tourist_Attraction_Features.Feature_ID can be joined with Features.Feature_ID # Tourist_Attraction_Features.Tourist_Attraction_ID can be joined with Tourist_Attractions.Tourist_Attraction_ID # ### Question: # # What are the distinct location names? # ### SQL: # # SELECT DISTINCT Location_Name FROM LOCATIONS # ### End.
cre_Theme_park	### Complete SQL query only and with no explanation ### SQL tables followed by foreign key information: # # Ref_Hotel_Star_Ratings ( star_rating_code, star_rating_description ) # Locations ( Location_ID, Location_Name, Address, Other_Details ) # Ref_Attraction_Types ( Attraction_Type_Code, Attraction_Type_Description ) # Visitors ( Tourist_ID, Tourist_Details ) # Features ( Feature_ID, Feature_Details ) # Hotels ( hotel_id, star_rating_code, pets_allowed_yn, price_range, other_hotel_details ) # Tourist_Attractions ( Tourist_Attraction_ID, Attraction_Type_Code, Location_ID, How_to_Get_There, Name, Description, Opening_Hours, Other_Details ) # Street_Markets ( Market_ID, Market_Details ) # Shops ( Shop_ID, Shop_Details ) # Museums ( Museum_ID, Museum_Details ) # Royal_Family ( Royal_Family_ID, Royal_Family_Details ) # Theme_Parks ( Theme_Park_ID, Theme_Park_Details ) # Visits ( Visit_ID, Tourist_Attraction_ID, Tourist_ID, Visit_Date, Visit_Details ) # Photos ( Photo_ID, Tourist_Attraction_ID, Name, Description, Filename, Other_Details ) # Staff ( Staff_ID, Tourist_Attraction_ID, Name, Other_Details ) # Tourist_Attraction_Features ( Tourist_Attraction_ID, Feature_ID ) # # Hotels.star_rating_code can be joined with Ref_Hotel_Star_Ratings.star_rating_code # Tourist_Attractions.Attraction_Type_Code can be joined with Ref_Attraction_Types.Attraction_Type_Code # Tourist_Attractions.Location_ID can be joined with Locations.Location_ID # Street_Markets.Market_ID can be joined with Tourist_Attractions.Tourist_Attraction_ID # Shops.Shop_ID can be joined with Tourist_Attractions.Tourist_Attraction_ID # Museums.Museum_ID can be joined with Tourist_Attractions.Tourist_Attraction_ID # Royal_Family.Royal_Family_ID can be joined with Tourist_Attractions.Tourist_Attraction_ID # Theme_Parks.Theme_Park_ID can be joined with Tourist_Attractions.Tourist_Attraction_ID # Visits.Tourist_ID can be joined with Visitors.Tourist_ID # Visits.Tourist_Attraction_ID can be joined with Tourist_Attractions.Tourist_Attraction_ID # Photos.Tourist_Attraction_ID can be joined with Tourist_Attractions.Tourist_Attraction_ID # Staff.Tourist_Attraction_ID can be joined with Tourist_Attractions.Tourist_Attraction_ID # Tourist_Attraction_Features.Feature_ID can be joined with Features.Feature_ID # Tourist_Attraction_Features.Tourist_Attraction_ID can be joined with Tourist_Attractions.Tourist_Attraction_ID # ### Question: # # Show the names and details of all the staff members. # ### SQL: # # SELECT Name , Other_Details FROM Staff # ### End.
cre_Theme_park	### Complete SQL query only and with no explanation ### SQL tables followed by foreign key information: # # Ref_Hotel_Star_Ratings ( star_rating_code, star_rating_description ) # Locations ( Location_ID, Location_Name, Address, Other_Details ) # Ref_Attraction_Types ( Attraction_Type_Code, Attraction_Type_Description ) # Visitors ( Tourist_ID, Tourist_Details ) # Features ( Feature_ID, Feature_Details ) # Hotels ( hotel_id, star_rating_code, pets_allowed_yn, price_range, other_hotel_details ) # Tourist_Attractions ( Tourist_Attraction_ID, Attraction_Type_Code, Location_ID, How_to_Get_There, Name, Description, Opening_Hours, Other_Details ) # Street_Markets ( Market_ID, Market_Details ) # Shops ( Shop_ID, Shop_Details ) # Museums ( Museum_ID, Museum_Details ) # Royal_Family ( Royal_Family_ID, Royal_Family_Details ) # Theme_Parks ( Theme_Park_ID, Theme_Park_Details ) # Visits ( Visit_ID, Tourist_Attraction_ID, Tourist_ID, Visit_Date, Visit_Details ) # Photos ( Photo_ID, Tourist_Attraction_ID, Name, Description, Filename, Other_Details ) # Staff ( Staff_ID, Tourist_Attraction_ID, Name, Other_Details ) # Tourist_Attraction_Features ( Tourist_Attraction_ID, Feature_ID ) # # Hotels.star_rating_code can be joined with Ref_Hotel_Star_Ratings.star_rating_code # Tourist_Attractions.Attraction_Type_Code can be joined with Ref_Attraction_Types.Attraction_Type_Code # Tourist_Attractions.Location_ID can be joined with Locations.Location_ID # Street_Markets.Market_ID can be joined with Tourist_Attractions.Tourist_Attraction_ID # Shops.Shop_ID can be joined with Tourist_Attractions.Tourist_Attraction_ID # Museums.Museum_ID can be joined with Tourist_Attractions.Tourist_Attraction_ID # Royal_Family.Royal_Family_ID can be joined with Tourist_Attractions.Tourist_Attraction_ID # Theme_Parks.Theme_Park_ID can be joined with Tourist_Attractions.Tourist_Attraction_ID # Visits.Tourist_ID can be joined with Visitors.Tourist_ID # Visits.Tourist_Attraction_ID can be joined with Tourist_Attractions.Tourist_Attraction_ID # Photos.Tourist_Attraction_ID can be joined with Tourist_Attractions.Tourist_Attraction_ID # Staff.Tourist_Attraction_ID can be joined with Tourist_Attractions.Tourist_Attraction_ID # Tourist_Attraction_Features.Feature_ID can be joined with Features.Feature_ID # Tourist_Attraction_Features.Tourist_Attraction_ID can be joined with Tourist_Attractions.Tourist_Attraction_ID # ### Question: # # What is the name and detail of each staff member? # ### SQL: # # SELECT Name , Other_Details FROM Staff # ### End.
cre_Theme_park	### Complete SQL query only and with no explanation ### SQL tables followed by foreign key information: # # Ref_Hotel_Star_Ratings ( star_rating_code, star_rating_description ) # Locations ( Location_ID, Location_Name, Address, Other_Details ) # Ref_Attraction_Types ( Attraction_Type_Code, Attraction_Type_Description ) # Visitors ( Tourist_ID, Tourist_Details ) # Features ( Feature_ID, Feature_Details ) # Hotels ( hotel_id, star_rating_code, pets_allowed_yn, price_range, other_hotel_details ) # Tourist_Attractions ( Tourist_Attraction_ID, Attraction_Type_Code, Location_ID, How_to_Get_There, Name, Description, Opening_Hours, Other_Details ) # Street_Markets ( Market_ID, Market_Details ) # Shops ( Shop_ID, Shop_Details ) # Museums ( Museum_ID, Museum_Details ) # Royal_Family ( Royal_Family_ID, Royal_Family_Details ) # Theme_Parks ( Theme_Park_ID, Theme_Park_Details ) # Visits ( Visit_ID, Tourist_Attraction_ID, Tourist_ID, Visit_Date, Visit_Details ) # Photos ( Photo_ID, Tourist_Attraction_ID, Name, Description, Filename, Other_Details ) # Staff ( Staff_ID, Tourist_Attraction_ID, Name, Other_Details ) # Tourist_Attraction_Features ( Tourist_Attraction_ID, Feature_ID ) # # Hotels.star_rating_code can be joined with Ref_Hotel_Star_Ratings.star_rating_code # Tourist_Attractions.Attraction_Type_Code can be joined with Ref_Attraction_Types.Attraction_Type_Code # Tourist_Attractions.Location_ID can be joined with Locations.Location_ID # Street_Markets.Market_ID can be joined with Tourist_Attractions.Tourist_Attraction_ID # Shops.Shop_ID can be joined with Tourist_Attractions.Tourist_Attraction_ID # Museums.Museum_ID can be joined with Tourist_Attractions.Tourist_Attraction_ID # Royal_Family.Royal_Family_ID can be joined with Tourist_Attractions.Tourist_Attraction_ID # Theme_Parks.Theme_Park_ID can be joined with Tourist_Attractions.Tourist_Attraction_ID # Visits.Tourist_ID can be joined with Visitors.Tourist_ID # Visits.Tourist_Attraction_ID can be joined with Tourist_Attractions.Tourist_Attraction_ID # Photos.Tourist_Attraction_ID can be joined with Tourist_Attractions.Tourist_Attraction_ID # Staff.Tourist_Attraction_ID can be joined with Tourist_Attractions.Tourist_Attraction_ID # Tourist_Attraction_Features.Feature_ID can be joined with Features.Feature_ID # Tourist_Attraction_Features.Tourist_Attraction_ID can be joined with Tourist_Attractions.Tourist_Attraction_ID # ### Question: # # Show details of all visitors. # ### SQL: # # SELECT Tourist_Details FROM VISITORS # ### End.
cre_Theme_park	### Complete SQL query only and with no explanation ### SQL tables followed by foreign key information: # # Ref_Hotel_Star_Ratings ( star_rating_code, star_rating_description ) # Locations ( Location_ID, Location_Name, Address, Other_Details ) # Ref_Attraction_Types ( Attraction_Type_Code, Attraction_Type_Description ) # Visitors ( Tourist_ID, Tourist_Details ) # Features ( Feature_ID, Feature_Details ) # Hotels ( hotel_id, star_rating_code, pets_allowed_yn, price_range, other_hotel_details ) # Tourist_Attractions ( Tourist_Attraction_ID, Attraction_Type_Code, Location_ID, How_to_Get_There, Name, Description, Opening_Hours, Other_Details ) # Street_Markets ( Market_ID, Market_Details ) # Shops ( Shop_ID, Shop_Details ) # Museums ( Museum_ID, Museum_Details ) # Royal_Family ( Royal_Family_ID, Royal_Family_Details ) # Theme_Parks ( Theme_Park_ID, Theme_Park_Details ) # Visits ( Visit_ID, Tourist_Attraction_ID, Tourist_ID, Visit_Date, Visit_Details ) # Photos ( Photo_ID, Tourist_Attraction_ID, Name, Description, Filename, Other_Details ) # Staff ( Staff_ID, Tourist_Attraction_ID, Name, Other_Details ) # Tourist_Attraction_Features ( Tourist_Attraction_ID, Feature_ID ) # # Hotels.star_rating_code can be joined with Ref_Hotel_Star_Ratings.star_rating_code # Tourist_Attractions.Attraction_Type_Code can be joined with Ref_Attraction_Types.Attraction_Type_Code # Tourist_Attractions.Location_ID can be joined with Locations.Location_ID # Street_Markets.Market_ID can be joined with Tourist_Attractions.Tourist_Attraction_ID # Shops.Shop_ID can be joined with Tourist_Attractions.Tourist_Attraction_ID # Museums.Museum_ID can be joined with Tourist_Attractions.Tourist_Attraction_ID # Royal_Family.Royal_Family_ID can be joined with Tourist_Attractions.Tourist_Attraction_ID # Theme_Parks.Theme_Park_ID can be joined with Tourist_Attractions.Tourist_Attraction_ID # Visits.Tourist_ID can be joined with Visitors.Tourist_ID # Visits.Tourist_Attraction_ID can be joined with Tourist_Attractions.Tourist_Attraction_ID # Photos.Tourist_Attraction_ID can be joined with Tourist_Attractions.Tourist_Attraction_ID # Staff.Tourist_Attraction_ID can be joined with Tourist_Attractions.Tourist_Attraction_ID # Tourist_Attraction_Features.Feature_ID can be joined with Features.Feature_ID # Tourist_Attraction_Features.Tourist_Attraction_ID can be joined with Tourist_Attractions.Tourist_Attraction_ID # ### Question: # # What is the detail of each visitor? # ### SQL: # # SELECT Tourist_Details FROM VISITORS # ### End.
cre_Theme_park	### Complete SQL query only and with no explanation ### SQL tables followed by foreign key information: # # Ref_Hotel_Star_Ratings ( star_rating_code, star_rating_description ) # Locations ( Location_ID, Location_Name, Address, Other_Details ) # Ref_Attraction_Types ( Attraction_Type_Code, Attraction_Type_Description ) # Visitors ( Tourist_ID, Tourist_Details ) # Features ( Feature_ID, Feature_Details ) # Hotels ( hotel_id, star_rating_code, pets_allowed_yn, price_range, other_hotel_details ) # Tourist_Attractions ( Tourist_Attraction_ID, Attraction_Type_Code, Location_ID, How_to_Get_There, Name, Description, Opening_Hours, Other_Details ) # Street_Markets ( Market_ID, Market_Details ) # Shops ( Shop_ID, Shop_Details ) # Museums ( Museum_ID, Museum_Details ) # Royal_Family ( Royal_Family_ID, Royal_Family_Details ) # Theme_Parks ( Theme_Park_ID, Theme_Park_Details ) # Visits ( Visit_ID, Tourist_Attraction_ID, Tourist_ID, Visit_Date, Visit_Details ) # Photos ( Photo_ID, Tourist_Attraction_ID, Name, Description, Filename, Other_Details ) # Staff ( Staff_ID, Tourist_Attraction_ID, Name, Other_Details ) # Tourist_Attraction_Features ( Tourist_Attraction_ID, Feature_ID ) # # Hotels.star_rating_code can be joined with Ref_Hotel_Star_Ratings.star_rating_code # Tourist_Attractions.Attraction_Type_Code can be joined with Ref_Attraction_Types.Attraction_Type_Code # Tourist_Attractions.Location_ID can be joined with Locations.Location_ID # Street_Markets.Market_ID can be joined with Tourist_Attractions.Tourist_Attraction_ID # Shops.Shop_ID can be joined with Tourist_Attractions.Tourist_Attraction_ID # Museums.Museum_ID can be joined with Tourist_Attractions.Tourist_Attraction_ID # Royal_Family.Royal_Family_ID can be joined with Tourist_Attractions.Tourist_Attraction_ID # Theme_Parks.Theme_Park_ID can be joined with Tourist_Attractions.Tourist_Attraction_ID # Visits.Tourist_ID can be joined with Visitors.Tourist_ID # Visits.Tourist_Attraction_ID can be joined with Tourist_Attractions.Tourist_Attraction_ID # Photos.Tourist_Attraction_ID can be joined with Tourist_Attractions.Tourist_Attraction_ID # Staff.Tourist_Attraction_ID can be joined with Tourist_Attractions.Tourist_Attraction_ID # Tourist_Attraction_Features.Feature_ID can be joined with Features.Feature_ID # Tourist_Attraction_Features.Tourist_Attraction_ID can be joined with Tourist_Attractions.Tourist_Attraction_ID # ### Question: # # Show the price ranges of hotels with 5 star ratings. # ### SQL: # # SELECT price_range FROM HOTELS WHERE star_rating_code = "5" # ### End.
cre_Theme_park	### Complete SQL query only and with no explanation ### SQL tables followed by foreign key information: # # Ref_Hotel_Star_Ratings ( star_rating_code, star_rating_description ) # Locations ( Location_ID, Location_Name, Address, Other_Details ) # Ref_Attraction_Types ( Attraction_Type_Code, Attraction_Type_Description ) # Visitors ( Tourist_ID, Tourist_Details ) # Features ( Feature_ID, Feature_Details ) # Hotels ( hotel_id, star_rating_code, pets_allowed_yn, price_range, other_hotel_details ) # Tourist_Attractions ( Tourist_Attraction_ID, Attraction_Type_Code, Location_ID, How_to_Get_There, Name, Description, Opening_Hours, Other_Details ) # Street_Markets ( Market_ID, Market_Details ) # Shops ( Shop_ID, Shop_Details ) # Museums ( Museum_ID, Museum_Details ) # Royal_Family ( Royal_Family_ID, Royal_Family_Details ) # Theme_Parks ( Theme_Park_ID, Theme_Park_Details ) # Visits ( Visit_ID, Tourist_Attraction_ID, Tourist_ID, Visit_Date, Visit_Details ) # Photos ( Photo_ID, Tourist_Attraction_ID, Name, Description, Filename, Other_Details ) # Staff ( Staff_ID, Tourist_Attraction_ID, Name, Other_Details ) # Tourist_Attraction_Features ( Tourist_Attraction_ID, Feature_ID ) # # Hotels.star_rating_code can be joined with Ref_Hotel_Star_Ratings.star_rating_code # Tourist_Attractions.Attraction_Type_Code can be joined with Ref_Attraction_Types.Attraction_Type_Code # Tourist_Attractions.Location_ID can be joined with Locations.Location_ID # Street_Markets.Market_ID can be joined with Tourist_Attractions.Tourist_Attraction_ID # Shops.Shop_ID can be joined with Tourist_Attractions.Tourist_Attraction_ID # Museums.Museum_ID can be joined with Tourist_Attractions.Tourist_Attraction_ID # Royal_Family.Royal_Family_ID can be joined with Tourist_Attractions.Tourist_Attraction_ID # Theme_Parks.Theme_Park_ID can be joined with Tourist_Attractions.Tourist_Attraction_ID # Visits.Tourist_ID can be joined with Visitors.Tourist_ID # Visits.Tourist_Attraction_ID can be joined with Tourist_Attractions.Tourist_Attraction_ID # Photos.Tourist_Attraction_ID can be joined with Tourist_Attractions.Tourist_Attraction_ID # Staff.Tourist_Attraction_ID can be joined with Tourist_Attractions.Tourist_Attraction_ID # Tourist_Attraction_Features.Feature_ID can be joined with Features.Feature_ID # Tourist_Attraction_Features.Tourist_Attraction_ID can be joined with Tourist_Attractions.Tourist_Attraction_ID # ### Question: # # What are the price ranges of five star hotels? # ### SQL: # # SELECT price_range FROM HOTELS WHERE star_rating_code = "5" # ### End.
cre_Theme_park	### Complete SQL query only and with no explanation ### SQL tables followed by foreign key information: # # Ref_Hotel_Star_Ratings ( star_rating_code, star_rating_description ) # Locations ( Location_ID, Location_Name, Address, Other_Details ) # Ref_Attraction_Types ( Attraction_Type_Code, Attraction_Type_Description ) # Visitors ( Tourist_ID, Tourist_Details ) # Features ( Feature_ID, Feature_Details ) # Hotels ( hotel_id, star_rating_code, pets_allowed_yn, price_range, other_hotel_details ) # Tourist_Attractions ( Tourist_Attraction_ID, Attraction_Type_Code, Location_ID, How_to_Get_There, Name, Description, Opening_Hours, Other_Details ) # Street_Markets ( Market_ID, Market_Details ) # Shops ( Shop_ID, Shop_Details ) # Museums ( Museum_ID, Museum_Details ) # Royal_Family ( Royal_Family_ID, Royal_Family_Details ) # Theme_Parks ( Theme_Park_ID, Theme_Park_Details ) # Visits ( Visit_ID, Tourist_Attraction_ID, Tourist_ID, Visit_Date, Visit_Details ) # Photos ( Photo_ID, Tourist_Attraction_ID, Name, Description, Filename, Other_Details ) # Staff ( Staff_ID, Tourist_Attraction_ID, Name, Other_Details ) # Tourist_Attraction_Features ( Tourist_Attraction_ID, Feature_ID ) # # Hotels.star_rating_code can be joined with Ref_Hotel_Star_Ratings.star_rating_code # Tourist_Attractions.Attraction_Type_Code can be joined with Ref_Attraction_Types.Attraction_Type_Code # Tourist_Attractions.Location_ID can be joined with Locations.Location_ID # Street_Markets.Market_ID can be joined with Tourist_Attractions.Tourist_Attraction_ID # Shops.Shop_ID can be joined with Tourist_Attractions.Tourist_Attraction_ID # Museums.Museum_ID can be joined with Tourist_Attractions.Tourist_Attraction_ID # Royal_Family.Royal_Family_ID can be joined with Tourist_Attractions.Tourist_Attraction_ID # Theme_Parks.Theme_Park_ID can be joined with Tourist_Attractions.Tourist_Attraction_ID # Visits.Tourist_ID can be joined with Visitors.Tourist_ID # Visits.Tourist_Attraction_ID can be joined with Tourist_Attractions.Tourist_Attraction_ID # Photos.Tourist_Attraction_ID can be joined with Tourist_Attractions.Tourist_Attraction_ID # Staff.Tourist_Attraction_ID can be joined with Tourist_Attractions.Tourist_Attraction_ID # Tourist_Attraction_Features.Feature_ID can be joined with Features.Feature_ID # Tourist_Attraction_Features.Tourist_Attraction_ID can be joined with Tourist_Attractions.Tourist_Attraction_ID # ### Question: # # Show the average price range of hotels that have 5 star ratings and allow pets. # ### SQL: # # SELECT avg(price_range) FROM HOTELS WHERE star_rating_code = "5" AND pets_allowed_yn = 1 # ### End.
cre_Theme_park	### Complete SQL query only and with no explanation ### SQL tables followed by foreign key information: # # Ref_Hotel_Star_Ratings ( star_rating_code, star_rating_description ) # Locations ( Location_ID, Location_Name, Address, Other_Details ) # Ref_Attraction_Types ( Attraction_Type_Code, Attraction_Type_Description ) # Visitors ( Tourist_ID, Tourist_Details ) # Features ( Feature_ID, Feature_Details ) # Hotels ( hotel_id, star_rating_code, pets_allowed_yn, price_range, other_hotel_details ) # Tourist_Attractions ( Tourist_Attraction_ID, Attraction_Type_Code, Location_ID, How_to_Get_There, Name, Description, Opening_Hours, Other_Details ) # Street_Markets ( Market_ID, Market_Details ) # Shops ( Shop_ID, Shop_Details ) # Museums ( Museum_ID, Museum_Details ) # Royal_Family ( Royal_Family_ID, Royal_Family_Details ) # Theme_Parks ( Theme_Park_ID, Theme_Park_Details ) # Visits ( Visit_ID, Tourist_Attraction_ID, Tourist_ID, Visit_Date, Visit_Details ) # Photos ( Photo_ID, Tourist_Attraction_ID, Name, Description, Filename, Other_Details ) # Staff ( Staff_ID, Tourist_Attraction_ID, Name, Other_Details ) # Tourist_Attraction_Features ( Tourist_Attraction_ID, Feature_ID ) # # Hotels.star_rating_code can be joined with Ref_Hotel_Star_Ratings.star_rating_code # Tourist_Attractions.Attraction_Type_Code can be joined with Ref_Attraction_Types.Attraction_Type_Code # Tourist_Attractions.Location_ID can be joined with Locations.Location_ID # Street_Markets.Market_ID can be joined with Tourist_Attractions.Tourist_Attraction_ID # Shops.Shop_ID can be joined with Tourist_Attractions.Tourist_Attraction_ID # Museums.Museum_ID can be joined with Tourist_Attractions.Tourist_Attraction_ID # Royal_Family.Royal_Family_ID can be joined with Tourist_Attractions.Tourist_Attraction_ID # Theme_Parks.Theme_Park_ID can be joined with Tourist_Attractions.Tourist_Attraction_ID # Visits.Tourist_ID can be joined with Visitors.Tourist_ID # Visits.Tourist_Attraction_ID can be joined with Tourist_Attractions.Tourist_Attraction_ID # Photos.Tourist_Attraction_ID can be joined with Tourist_Attractions.Tourist_Attraction_ID # Staff.Tourist_Attraction_ID can be joined with Tourist_Attractions.Tourist_Attraction_ID # Tourist_Attraction_Features.Feature_ID can be joined with Features.Feature_ID # Tourist_Attraction_Features.Tourist_Attraction_ID can be joined with Tourist_Attractions.Tourist_Attraction_ID # ### Question: # # What is the average price range of five star hotels that allow pets? # ### SQL: # # SELECT avg(price_range) FROM HOTELS WHERE star_rating_code = "5" AND pets_allowed_yn = 1 # ### End.
cre_Theme_park	### Complete SQL query only and with no explanation ### SQL tables followed by foreign key information: # # Ref_Hotel_Star_Ratings ( star_rating_code, star_rating_description ) # Locations ( Location_ID, Location_Name, Address, Other_Details ) # Ref_Attraction_Types ( Attraction_Type_Code, Attraction_Type_Description ) # Visitors ( Tourist_ID, Tourist_Details ) # Features ( Feature_ID, Feature_Details ) # Hotels ( hotel_id, star_rating_code, pets_allowed_yn, price_range, other_hotel_details ) # Tourist_Attractions ( Tourist_Attraction_ID, Attraction_Type_Code, Location_ID, How_to_Get_There, Name, Description, Opening_Hours, Other_Details ) # Street_Markets ( Market_ID, Market_Details ) # Shops ( Shop_ID, Shop_Details ) # Museums ( Museum_ID, Museum_Details ) # Royal_Family ( Royal_Family_ID, Royal_Family_Details ) # Theme_Parks ( Theme_Park_ID, Theme_Park_Details ) # Visits ( Visit_ID, Tourist_Attraction_ID, Tourist_ID, Visit_Date, Visit_Details ) # Photos ( Photo_ID, Tourist_Attraction_ID, Name, Description, Filename, Other_Details ) # Staff ( Staff_ID, Tourist_Attraction_ID, Name, Other_Details ) # Tourist_Attraction_Features ( Tourist_Attraction_ID, Feature_ID ) # # Hotels.star_rating_code can be joined with Ref_Hotel_Star_Ratings.star_rating_code # Tourist_Attractions.Attraction_Type_Code can be joined with Ref_Attraction_Types.Attraction_Type_Code # Tourist_Attractions.Location_ID can be joined with Locations.Location_ID # Street_Markets.Market_ID can be joined with Tourist_Attractions.Tourist_Attraction_ID # Shops.Shop_ID can be joined with Tourist_Attractions.Tourist_Attraction_ID # Museums.Museum_ID can be joined with Tourist_Attractions.Tourist_Attraction_ID # Royal_Family.Royal_Family_ID can be joined with Tourist_Attractions.Tourist_Attraction_ID # Theme_Parks.Theme_Park_ID can be joined with Tourist_Attractions.Tourist_Attraction_ID # Visits.Tourist_ID can be joined with Visitors.Tourist_ID # Visits.Tourist_Attraction_ID can be joined with Tourist_Attractions.Tourist_Attraction_ID # Photos.Tourist_Attraction_ID can be joined with Tourist_Attractions.Tourist_Attraction_ID # Staff.Tourist_Attraction_ID can be joined with Tourist_Attractions.Tourist_Attraction_ID # Tourist_Attraction_Features.Feature_ID can be joined with Features.Feature_ID # Tourist_Attraction_Features.Tourist_Attraction_ID can be joined with Tourist_Attractions.Tourist_Attraction_ID # ### Question: # # What is the address of the location "UK Gallery"? # ### SQL: # # SELECT Address FROM LOCATIONS WHERE Location_Name = "UK Gallery" # ### End.

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