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stringlengths 358
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[INST] Here is a database schema:
Attributes :
attribute_id [ INTEGER ] primary_key
attribute_name [ TEXT ]
Categories :
category_id [ INTEGER ] primary_key
category_name [ TEXT ]
Compliments :
compliment_id [ INTEGER ] primary_key
compliment_type [ TEXT ]
Days :
day_id [ INTEGER ] primary_key
day_of_week [ TEXT ]
Years :
year_id [ INTEGER ] primary_key
actual_year [ INTEGER ]
Business_Attributes :
attribute_id [ INTEGER ]
business_id [ INTEGER ]
attribute_value [ TEXT ]
Business_Categories :
business_id [ INTEGER ]
category_id [ INTEGER ]
Business_Hours :
business_id [ INTEGER ]
day_id [ INTEGER ]
opening_time [ TEXT ]
closing_time [ TEXT ]
Checkins :
business_id [ INTEGER ]
day_id [ INTEGER ]
label_time_0 [ TEXT ]
label_time_1 [ TEXT ]
label_time_2 [ TEXT ]
label_time_3 [ TEXT ]
label_time_4 [ TEXT ]
label_time_5 [ TEXT ]
label_time_6 [ TEXT ]
label_time_7 [ TEXT ]
label_time_8 [ TEXT ]
label_time_9 [ TEXT ]
label_time_10 [ TEXT ]
label_time_11 [ TEXT ]
label_time_12 [ TEXT ]
label_time_13 [ TEXT ]
label_time_14 [ TEXT ]
label_time_15 [ TEXT ]
label_time_16 [ TEXT ]
label_time_17 [ TEXT ]
label_time_18 [ TEXT ]
label_time_19 [ TEXT ]
label_time_20 [ TEXT ]
label_time_21 [ TEXT ]
label_time_22 [ TEXT ]
label_time_23 [ TEXT ]
Elite :
user_id [ INTEGER ]
year_id [ INTEGER ]
Reviews :
business_id [ INTEGER ]
user_id [ INTEGER ]
review_stars [ INTEGER ]
review_votes_funny [ TEXT ]
review_votes_useful [ TEXT ]
review_votes_cool [ TEXT ]
review_length [ TEXT ]
Tips :
business_id [ INTEGER ]
user_id [ INTEGER ]
likes [ INTEGER ]
tip_length [ TEXT ]
Users_Compliments :
compliment_id [ INTEGER ]
user_id [ INTEGER ]
number_of_compliments [ TEXT ]
Business :
business_id [ INTEGER ] primary_key
active [ TEXT ]
city [ TEXT ]
state [ TEXT ]
stars [ REAL ]
review_count [ TEXT ]
Users :
user_id [ INTEGER ] primary_key
user_yelping_since_year [ INTEGER ]
user_average_stars [ TEXT ]
user_votes_funny [ TEXT ]
user_votes_useful [ TEXT ]
user_votes_cool [ TEXT ]
user_review_count [ TEXT ]
user_fans [ TEXT ]
Please write me a SQL statement that answers the following question: List the business located in Mesa that have alcohol attribute. [/INST] | SELECT T1.business_id FROM Business AS T1 INNER JOIN Business_Attributes AS T2 ON T1.business_id = T2.business_id INNER JOIN Attributes AS T3 ON T2.attribute_id = T3.attribute_id WHERE T1.city = 'Mesa' AND T3.attribute_name = 'Alcohol'; |
[INST] Here is a database schema:
Attributes :
attribute_id [ INTEGER ] primary_key
attribute_name [ TEXT ]
Categories :
category_id [ INTEGER ] primary_key
category_name [ TEXT ]
Compliments :
compliment_id [ INTEGER ] primary_key
compliment_type [ TEXT ]
Days :
day_id [ INTEGER ] primary_key
day_of_week [ TEXT ]
Years :
year_id [ INTEGER ] primary_key
actual_year [ INTEGER ]
Business_Attributes :
attribute_id [ INTEGER ]
business_id [ INTEGER ]
attribute_value [ TEXT ]
Business_Categories :
business_id [ INTEGER ]
category_id [ INTEGER ]
Business_Hours :
business_id [ INTEGER ]
day_id [ INTEGER ]
opening_time [ TEXT ]
closing_time [ TEXT ]
Checkins :
business_id [ INTEGER ]
day_id [ INTEGER ]
label_time_0 [ TEXT ]
label_time_1 [ TEXT ]
label_time_2 [ TEXT ]
label_time_3 [ TEXT ]
label_time_4 [ TEXT ]
label_time_5 [ TEXT ]
label_time_6 [ TEXT ]
label_time_7 [ TEXT ]
label_time_8 [ TEXT ]
label_time_9 [ TEXT ]
label_time_10 [ TEXT ]
label_time_11 [ TEXT ]
label_time_12 [ TEXT ]
label_time_13 [ TEXT ]
label_time_14 [ TEXT ]
label_time_15 [ TEXT ]
label_time_16 [ TEXT ]
label_time_17 [ TEXT ]
label_time_18 [ TEXT ]
label_time_19 [ TEXT ]
label_time_20 [ TEXT ]
label_time_21 [ TEXT ]
label_time_22 [ TEXT ]
label_time_23 [ TEXT ]
Elite :
user_id [ INTEGER ]
year_id [ INTEGER ]
Reviews :
business_id [ INTEGER ]
user_id [ INTEGER ]
review_stars [ INTEGER ]
review_votes_funny [ TEXT ]
review_votes_useful [ TEXT ]
review_votes_cool [ TEXT ]
review_length [ TEXT ]
Tips :
business_id [ INTEGER ]
user_id [ INTEGER ]
likes [ INTEGER ]
tip_length [ TEXT ]
Users_Compliments :
compliment_id [ INTEGER ]
user_id [ INTEGER ]
number_of_compliments [ TEXT ]
Business :
business_id [ INTEGER ] primary_key
active [ TEXT ]
city [ TEXT ]
state [ TEXT ]
stars [ REAL ]
review_count [ TEXT ]
Users :
user_id [ INTEGER ] primary_key
user_yelping_since_year [ INTEGER ]
user_average_stars [ TEXT ]
user_votes_funny [ TEXT ]
user_votes_useful [ TEXT ]
user_votes_cool [ TEXT ]
user_review_count [ TEXT ]
user_fans [ TEXT ]
Please write me a SQL statement that answers the following question: Based on business in Phoenix, calculate the percentage of business with low funny votes. [/INST] | SELECT CAST(SUM(CASE WHEN T2.review_votes_funny = 'Low' THEN 1 ELSE 0 END) AS REAL) * 100 / COUNT(T1.business_id) FROM Business AS T1 INNER JOIN Reviews AS T2 ON T1.business_id = T2.business_id WHERE T1.city = 'Phoenix'; |
[INST] Here is a database schema:
Attributes :
attribute_id [ INTEGER ] primary_key
attribute_name [ TEXT ]
Categories :
category_id [ INTEGER ] primary_key
category_name [ TEXT ]
Compliments :
compliment_id [ INTEGER ] primary_key
compliment_type [ TEXT ]
Days :
day_id [ INTEGER ] primary_key
day_of_week [ TEXT ]
Years :
year_id [ INTEGER ] primary_key
actual_year [ INTEGER ]
Business_Attributes :
attribute_id [ INTEGER ]
business_id [ INTEGER ]
attribute_value [ TEXT ]
Business_Categories :
business_id [ INTEGER ]
category_id [ INTEGER ]
Business_Hours :
business_id [ INTEGER ]
day_id [ INTEGER ]
opening_time [ TEXT ]
closing_time [ TEXT ]
Checkins :
business_id [ INTEGER ]
day_id [ INTEGER ]
label_time_0 [ TEXT ]
label_time_1 [ TEXT ]
label_time_2 [ TEXT ]
label_time_3 [ TEXT ]
label_time_4 [ TEXT ]
label_time_5 [ TEXT ]
label_time_6 [ TEXT ]
label_time_7 [ TEXT ]
label_time_8 [ TEXT ]
label_time_9 [ TEXT ]
label_time_10 [ TEXT ]
label_time_11 [ TEXT ]
label_time_12 [ TEXT ]
label_time_13 [ TEXT ]
label_time_14 [ TEXT ]
label_time_15 [ TEXT ]
label_time_16 [ TEXT ]
label_time_17 [ TEXT ]
label_time_18 [ TEXT ]
label_time_19 [ TEXT ]
label_time_20 [ TEXT ]
label_time_21 [ TEXT ]
label_time_22 [ TEXT ]
label_time_23 [ TEXT ]
Elite :
user_id [ INTEGER ]
year_id [ INTEGER ]
Reviews :
business_id [ INTEGER ]
user_id [ INTEGER ]
review_stars [ INTEGER ]
review_votes_funny [ TEXT ]
review_votes_useful [ TEXT ]
review_votes_cool [ TEXT ]
review_length [ TEXT ]
Tips :
business_id [ INTEGER ]
user_id [ INTEGER ]
likes [ INTEGER ]
tip_length [ TEXT ]
Users_Compliments :
compliment_id [ INTEGER ]
user_id [ INTEGER ]
number_of_compliments [ TEXT ]
Business :
business_id [ INTEGER ] primary_key
active [ TEXT ]
city [ TEXT ]
state [ TEXT ]
stars [ REAL ]
review_count [ TEXT ]
Users :
user_id [ INTEGER ] primary_key
user_yelping_since_year [ INTEGER ]
user_average_stars [ TEXT ]
user_votes_funny [ TEXT ]
user_votes_useful [ TEXT ]
user_votes_cool [ TEXT ]
user_review_count [ TEXT ]
user_fans [ TEXT ]
Please write me a SQL statement that answers the following question: What is the ratio between business in shopping category and business in pets category? [/INST] | SELECT CAST(SUM(CASE WHEN T2.category_name = 'Shopping' THEN 1 ELSE 0 END) AS REAL) / SUM(CASE WHEN T2.category_name = 'Pets' THEN 1 ELSE 0 END) AS radio FROM Business_Categories AS T1 INNER JOIN Categories AS T2 ON T1.category_id = T2.category_id; |
[INST] Here is a database schema:
Attributes :
attribute_id [ INTEGER ] primary_key
attribute_name [ TEXT ]
Categories :
category_id [ INTEGER ] primary_key
category_name [ TEXT ]
Compliments :
compliment_id [ INTEGER ] primary_key
compliment_type [ TEXT ]
Days :
day_id [ INTEGER ] primary_key
day_of_week [ TEXT ]
Years :
year_id [ INTEGER ] primary_key
actual_year [ INTEGER ]
Business_Attributes :
attribute_id [ INTEGER ]
business_id [ INTEGER ]
attribute_value [ TEXT ]
Business_Categories :
business_id [ INTEGER ]
category_id [ INTEGER ]
Business_Hours :
business_id [ INTEGER ]
day_id [ INTEGER ]
opening_time [ TEXT ]
closing_time [ TEXT ]
Checkins :
business_id [ INTEGER ]
day_id [ INTEGER ]
label_time_0 [ TEXT ]
label_time_1 [ TEXT ]
label_time_2 [ TEXT ]
label_time_3 [ TEXT ]
label_time_4 [ TEXT ]
label_time_5 [ TEXT ]
label_time_6 [ TEXT ]
label_time_7 [ TEXT ]
label_time_8 [ TEXT ]
label_time_9 [ TEXT ]
label_time_10 [ TEXT ]
label_time_11 [ TEXT ]
label_time_12 [ TEXT ]
label_time_13 [ TEXT ]
label_time_14 [ TEXT ]
label_time_15 [ TEXT ]
label_time_16 [ TEXT ]
label_time_17 [ TEXT ]
label_time_18 [ TEXT ]
label_time_19 [ TEXT ]
label_time_20 [ TEXT ]
label_time_21 [ TEXT ]
label_time_22 [ TEXT ]
label_time_23 [ TEXT ]
Elite :
user_id [ INTEGER ]
year_id [ INTEGER ]
Reviews :
business_id [ INTEGER ]
user_id [ INTEGER ]
review_stars [ INTEGER ]
review_votes_funny [ TEXT ]
review_votes_useful [ TEXT ]
review_votes_cool [ TEXT ]
review_length [ TEXT ]
Tips :
business_id [ INTEGER ]
user_id [ INTEGER ]
likes [ INTEGER ]
tip_length [ TEXT ]
Users_Compliments :
compliment_id [ INTEGER ]
user_id [ INTEGER ]
number_of_compliments [ TEXT ]
Business :
business_id [ INTEGER ] primary_key
active [ TEXT ]
city [ TEXT ]
state [ TEXT ]
stars [ REAL ]
review_count [ TEXT ]
Users :
user_id [ INTEGER ] primary_key
user_yelping_since_year [ INTEGER ]
user_average_stars [ TEXT ]
user_votes_funny [ TEXT ]
user_votes_useful [ TEXT ]
user_votes_cool [ TEXT ]
user_review_count [ TEXT ]
user_fans [ TEXT ]
Please write me a SQL statement that answers the following question: How many businesses are registered in the database under 'Banks & Credit Unions' category? [/INST] | SELECT COUNT(T2.business_id) FROM Categories AS T1 INNER JOIN Business_Categories AS T2 ON T1.category_id = T2.category_id WHERE T1.category_name = 'Banks & Credit Unions'; |
[INST] Here is a database schema:
Attributes :
attribute_id [ INTEGER ] primary_key
attribute_name [ TEXT ]
Categories :
category_id [ INTEGER ] primary_key
category_name [ TEXT ]
Compliments :
compliment_id [ INTEGER ] primary_key
compliment_type [ TEXT ]
Days :
day_id [ INTEGER ] primary_key
day_of_week [ TEXT ]
Years :
year_id [ INTEGER ] primary_key
actual_year [ INTEGER ]
Business_Attributes :
attribute_id [ INTEGER ]
business_id [ INTEGER ]
attribute_value [ TEXT ]
Business_Categories :
business_id [ INTEGER ]
category_id [ INTEGER ]
Business_Hours :
business_id [ INTEGER ]
day_id [ INTEGER ]
opening_time [ TEXT ]
closing_time [ TEXT ]
Checkins :
business_id [ INTEGER ]
day_id [ INTEGER ]
label_time_0 [ TEXT ]
label_time_1 [ TEXT ]
label_time_2 [ TEXT ]
label_time_3 [ TEXT ]
label_time_4 [ TEXT ]
label_time_5 [ TEXT ]
label_time_6 [ TEXT ]
label_time_7 [ TEXT ]
label_time_8 [ TEXT ]
label_time_9 [ TEXT ]
label_time_10 [ TEXT ]
label_time_11 [ TEXT ]
label_time_12 [ TEXT ]
label_time_13 [ TEXT ]
label_time_14 [ TEXT ]
label_time_15 [ TEXT ]
label_time_16 [ TEXT ]
label_time_17 [ TEXT ]
label_time_18 [ TEXT ]
label_time_19 [ TEXT ]
label_time_20 [ TEXT ]
label_time_21 [ TEXT ]
label_time_22 [ TEXT ]
label_time_23 [ TEXT ]
Elite :
user_id [ INTEGER ]
year_id [ INTEGER ]
Reviews :
business_id [ INTEGER ]
user_id [ INTEGER ]
review_stars [ INTEGER ]
review_votes_funny [ TEXT ]
review_votes_useful [ TEXT ]
review_votes_cool [ TEXT ]
review_length [ TEXT ]
Tips :
business_id [ INTEGER ]
user_id [ INTEGER ]
likes [ INTEGER ]
tip_length [ TEXT ]
Users_Compliments :
compliment_id [ INTEGER ]
user_id [ INTEGER ]
number_of_compliments [ TEXT ]
Business :
business_id [ INTEGER ] primary_key
active [ TEXT ]
city [ TEXT ]
state [ TEXT ]
stars [ REAL ]
review_count [ TEXT ]
Users :
user_id [ INTEGER ] primary_key
user_yelping_since_year [ INTEGER ]
user_average_stars [ TEXT ]
user_votes_funny [ TEXT ]
user_votes_useful [ TEXT ]
user_votes_cool [ TEXT ]
user_review_count [ TEXT ]
user_fans [ TEXT ]
Please write me a SQL statement that answers the following question: How many active businesses from Casa Grande are registered in the database? [/INST] | SELECT COUNT(business_id) FROM Business WHERE active = 'true' AND city = 'Casa Grande'; |
[INST] Here is a database schema:
Attributes :
attribute_id [ INTEGER ] primary_key
attribute_name [ TEXT ]
Categories :
category_id [ INTEGER ] primary_key
category_name [ TEXT ]
Compliments :
compliment_id [ INTEGER ] primary_key
compliment_type [ TEXT ]
Days :
day_id [ INTEGER ] primary_key
day_of_week [ TEXT ]
Years :
year_id [ INTEGER ] primary_key
actual_year [ INTEGER ]
Business_Attributes :
attribute_id [ INTEGER ]
business_id [ INTEGER ]
attribute_value [ TEXT ]
Business_Categories :
business_id [ INTEGER ]
category_id [ INTEGER ]
Business_Hours :
business_id [ INTEGER ]
day_id [ INTEGER ]
opening_time [ TEXT ]
closing_time [ TEXT ]
Checkins :
business_id [ INTEGER ]
day_id [ INTEGER ]
label_time_0 [ TEXT ]
label_time_1 [ TEXT ]
label_time_2 [ TEXT ]
label_time_3 [ TEXT ]
label_time_4 [ TEXT ]
label_time_5 [ TEXT ]
label_time_6 [ TEXT ]
label_time_7 [ TEXT ]
label_time_8 [ TEXT ]
label_time_9 [ TEXT ]
label_time_10 [ TEXT ]
label_time_11 [ TEXT ]
label_time_12 [ TEXT ]
label_time_13 [ TEXT ]
label_time_14 [ TEXT ]
label_time_15 [ TEXT ]
label_time_16 [ TEXT ]
label_time_17 [ TEXT ]
label_time_18 [ TEXT ]
label_time_19 [ TEXT ]
label_time_20 [ TEXT ]
label_time_21 [ TEXT ]
label_time_22 [ TEXT ]
label_time_23 [ TEXT ]
Elite :
user_id [ INTEGER ]
year_id [ INTEGER ]
Reviews :
business_id [ INTEGER ]
user_id [ INTEGER ]
review_stars [ INTEGER ]
review_votes_funny [ TEXT ]
review_votes_useful [ TEXT ]
review_votes_cool [ TEXT ]
review_length [ TEXT ]
Tips :
business_id [ INTEGER ]
user_id [ INTEGER ]
likes [ INTEGER ]
tip_length [ TEXT ]
Users_Compliments :
compliment_id [ INTEGER ]
user_id [ INTEGER ]
number_of_compliments [ TEXT ]
Business :
business_id [ INTEGER ] primary_key
active [ TEXT ]
city [ TEXT ]
state [ TEXT ]
stars [ REAL ]
review_count [ TEXT ]
Users :
user_id [ INTEGER ] primary_key
user_yelping_since_year [ INTEGER ]
user_average_stars [ TEXT ]
user_votes_funny [ TEXT ]
user_votes_useful [ TEXT ]
user_votes_cool [ TEXT ]
user_review_count [ TEXT ]
user_fans [ TEXT ]
Please write me a SQL statement that answers the following question: What time does the business with ID no.12 open on Monday? [/INST] | SELECT T1.opening_time FROM Business_Hours AS T1 INNER JOIN Days AS T2 ON T1.day_id = T2.day_id WHERE T1.business_id = 12 AND T2.day_of_week = 'Monday'; |
[INST] Here is a database schema:
Attributes :
attribute_id [ INTEGER ] primary_key
attribute_name [ TEXT ]
Categories :
category_id [ INTEGER ] primary_key
category_name [ TEXT ]
Compliments :
compliment_id [ INTEGER ] primary_key
compliment_type [ TEXT ]
Days :
day_id [ INTEGER ] primary_key
day_of_week [ TEXT ]
Years :
year_id [ INTEGER ] primary_key
actual_year [ INTEGER ]
Business_Attributes :
attribute_id [ INTEGER ]
business_id [ INTEGER ]
attribute_value [ TEXT ]
Business_Categories :
business_id [ INTEGER ]
category_id [ INTEGER ]
Business_Hours :
business_id [ INTEGER ]
day_id [ INTEGER ]
opening_time [ TEXT ]
closing_time [ TEXT ]
Checkins :
business_id [ INTEGER ]
day_id [ INTEGER ]
label_time_0 [ TEXT ]
label_time_1 [ TEXT ]
label_time_2 [ TEXT ]
label_time_3 [ TEXT ]
label_time_4 [ TEXT ]
label_time_5 [ TEXT ]
label_time_6 [ TEXT ]
label_time_7 [ TEXT ]
label_time_8 [ TEXT ]
label_time_9 [ TEXT ]
label_time_10 [ TEXT ]
label_time_11 [ TEXT ]
label_time_12 [ TEXT ]
label_time_13 [ TEXT ]
label_time_14 [ TEXT ]
label_time_15 [ TEXT ]
label_time_16 [ TEXT ]
label_time_17 [ TEXT ]
label_time_18 [ TEXT ]
label_time_19 [ TEXT ]
label_time_20 [ TEXT ]
label_time_21 [ TEXT ]
label_time_22 [ TEXT ]
label_time_23 [ TEXT ]
Elite :
user_id [ INTEGER ]
year_id [ INTEGER ]
Reviews :
business_id [ INTEGER ]
user_id [ INTEGER ]
review_stars [ INTEGER ]
review_votes_funny [ TEXT ]
review_votes_useful [ TEXT ]
review_votes_cool [ TEXT ]
review_length [ TEXT ]
Tips :
business_id [ INTEGER ]
user_id [ INTEGER ]
likes [ INTEGER ]
tip_length [ TEXT ]
Users_Compliments :
compliment_id [ INTEGER ]
user_id [ INTEGER ]
number_of_compliments [ TEXT ]
Business :
business_id [ INTEGER ] primary_key
active [ TEXT ]
city [ TEXT ]
state [ TEXT ]
stars [ REAL ]
review_count [ TEXT ]
Users :
user_id [ INTEGER ] primary_key
user_yelping_since_year [ INTEGER ]
user_average_stars [ TEXT ]
user_votes_funny [ TEXT ]
user_votes_useful [ TEXT ]
user_votes_cool [ TEXT ]
user_review_count [ TEXT ]
user_fans [ TEXT ]
Please write me a SQL statement that answers the following question: How many businesses that are registered in the database can be attributed to 'Good for Kids'? [/INST] | SELECT COUNT(T2.business_id) FROM Attributes AS T1 INNER JOIN Business_Attributes AS T2 ON T1.attribute_id = T2.attribute_id WHERE T1.attribute_name = 'Good for Kids' AND T2.attribute_value = 'true'; |
[INST] Here is a database schema:
Attributes :
attribute_id [ INTEGER ] primary_key
attribute_name [ TEXT ]
Categories :
category_id [ INTEGER ] primary_key
category_name [ TEXT ]
Compliments :
compliment_id [ INTEGER ] primary_key
compliment_type [ TEXT ]
Days :
day_id [ INTEGER ] primary_key
day_of_week [ TEXT ]
Years :
year_id [ INTEGER ] primary_key
actual_year [ INTEGER ]
Business_Attributes :
attribute_id [ INTEGER ]
business_id [ INTEGER ]
attribute_value [ TEXT ]
Business_Categories :
business_id [ INTEGER ]
category_id [ INTEGER ]
Business_Hours :
business_id [ INTEGER ]
day_id [ INTEGER ]
opening_time [ TEXT ]
closing_time [ TEXT ]
Checkins :
business_id [ INTEGER ]
day_id [ INTEGER ]
label_time_0 [ TEXT ]
label_time_1 [ TEXT ]
label_time_2 [ TEXT ]
label_time_3 [ TEXT ]
label_time_4 [ TEXT ]
label_time_5 [ TEXT ]
label_time_6 [ TEXT ]
label_time_7 [ TEXT ]
label_time_8 [ TEXT ]
label_time_9 [ TEXT ]
label_time_10 [ TEXT ]
label_time_11 [ TEXT ]
label_time_12 [ TEXT ]
label_time_13 [ TEXT ]
label_time_14 [ TEXT ]
label_time_15 [ TEXT ]
label_time_16 [ TEXT ]
label_time_17 [ TEXT ]
label_time_18 [ TEXT ]
label_time_19 [ TEXT ]
label_time_20 [ TEXT ]
label_time_21 [ TEXT ]
label_time_22 [ TEXT ]
label_time_23 [ TEXT ]
Elite :
user_id [ INTEGER ]
year_id [ INTEGER ]
Reviews :
business_id [ INTEGER ]
user_id [ INTEGER ]
review_stars [ INTEGER ]
review_votes_funny [ TEXT ]
review_votes_useful [ TEXT ]
review_votes_cool [ TEXT ]
review_length [ TEXT ]
Tips :
business_id [ INTEGER ]
user_id [ INTEGER ]
likes [ INTEGER ]
tip_length [ TEXT ]
Users_Compliments :
compliment_id [ INTEGER ]
user_id [ INTEGER ]
number_of_compliments [ TEXT ]
Business :
business_id [ INTEGER ] primary_key
active [ TEXT ]
city [ TEXT ]
state [ TEXT ]
stars [ REAL ]
review_count [ TEXT ]
Users :
user_id [ INTEGER ] primary_key
user_yelping_since_year [ INTEGER ]
user_average_stars [ TEXT ]
user_votes_funny [ TEXT ]
user_votes_useful [ TEXT ]
user_votes_cool [ TEXT ]
user_review_count [ TEXT ]
user_fans [ TEXT ]
Please write me a SQL statement that answers the following question: Identify the most popular and appealing active business in Gilbert based on users' reviews. [/INST] | SELECT business_id FROM Business WHERE city = 'Gilbert' AND active = 'true' AND review_count = 'High' ORDER BY stars DESC LIMIT 1; |
[INST] Here is a database schema:
Attributes :
attribute_id [ INTEGER ] primary_key
attribute_name [ TEXT ]
Categories :
category_id [ INTEGER ] primary_key
category_name [ TEXT ]
Compliments :
compliment_id [ INTEGER ] primary_key
compliment_type [ TEXT ]
Days :
day_id [ INTEGER ] primary_key
day_of_week [ TEXT ]
Years :
year_id [ INTEGER ] primary_key
actual_year [ INTEGER ]
Business_Attributes :
attribute_id [ INTEGER ]
business_id [ INTEGER ]
attribute_value [ TEXT ]
Business_Categories :
business_id [ INTEGER ]
category_id [ INTEGER ]
Business_Hours :
business_id [ INTEGER ]
day_id [ INTEGER ]
opening_time [ TEXT ]
closing_time [ TEXT ]
Checkins :
business_id [ INTEGER ]
day_id [ INTEGER ]
label_time_0 [ TEXT ]
label_time_1 [ TEXT ]
label_time_2 [ TEXT ]
label_time_3 [ TEXT ]
label_time_4 [ TEXT ]
label_time_5 [ TEXT ]
label_time_6 [ TEXT ]
label_time_7 [ TEXT ]
label_time_8 [ TEXT ]
label_time_9 [ TEXT ]
label_time_10 [ TEXT ]
label_time_11 [ TEXT ]
label_time_12 [ TEXT ]
label_time_13 [ TEXT ]
label_time_14 [ TEXT ]
label_time_15 [ TEXT ]
label_time_16 [ TEXT ]
label_time_17 [ TEXT ]
label_time_18 [ TEXT ]
label_time_19 [ TEXT ]
label_time_20 [ TEXT ]
label_time_21 [ TEXT ]
label_time_22 [ TEXT ]
label_time_23 [ TEXT ]
Elite :
user_id [ INTEGER ]
year_id [ INTEGER ]
Reviews :
business_id [ INTEGER ]
user_id [ INTEGER ]
review_stars [ INTEGER ]
review_votes_funny [ TEXT ]
review_votes_useful [ TEXT ]
review_votes_cool [ TEXT ]
review_length [ TEXT ]
Tips :
business_id [ INTEGER ]
user_id [ INTEGER ]
likes [ INTEGER ]
tip_length [ TEXT ]
Users_Compliments :
compliment_id [ INTEGER ]
user_id [ INTEGER ]
number_of_compliments [ TEXT ]
Business :
business_id [ INTEGER ] primary_key
active [ TEXT ]
city [ TEXT ]
state [ TEXT ]
stars [ REAL ]
review_count [ TEXT ]
Users :
user_id [ INTEGER ] primary_key
user_yelping_since_year [ INTEGER ]
user_average_stars [ TEXT ]
user_votes_funny [ TEXT ]
user_votes_useful [ TEXT ]
user_votes_cool [ TEXT ]
user_review_count [ TEXT ]
user_fans [ TEXT ]
Please write me a SQL statement that answers the following question: Find the 5-star business in Ahwatukee, AZ and identify it's business category. [/INST] | SELECT T1.business_id, T3.category_name FROM Business AS T1 INNER JOIN Business_Categories AS T2 ON T1.business_id = T2.business_id INNER JOIN Categories AS T3 ON T2.category_id = T3.category_id WHERE T1.city = 'Ahwatukee' AND T1.stars = 5; |
[INST] Here is a database schema:
Attributes :
attribute_id [ INTEGER ] primary_key
attribute_name [ TEXT ]
Categories :
category_id [ INTEGER ] primary_key
category_name [ TEXT ]
Compliments :
compliment_id [ INTEGER ] primary_key
compliment_type [ TEXT ]
Days :
day_id [ INTEGER ] primary_key
day_of_week [ TEXT ]
Years :
year_id [ INTEGER ] primary_key
actual_year [ INTEGER ]
Business_Attributes :
attribute_id [ INTEGER ]
business_id [ INTEGER ]
attribute_value [ TEXT ]
Business_Categories :
business_id [ INTEGER ]
category_id [ INTEGER ]
Business_Hours :
business_id [ INTEGER ]
day_id [ INTEGER ]
opening_time [ TEXT ]
closing_time [ TEXT ]
Checkins :
business_id [ INTEGER ]
day_id [ INTEGER ]
label_time_0 [ TEXT ]
label_time_1 [ TEXT ]
label_time_2 [ TEXT ]
label_time_3 [ TEXT ]
label_time_4 [ TEXT ]
label_time_5 [ TEXT ]
label_time_6 [ TEXT ]
label_time_7 [ TEXT ]
label_time_8 [ TEXT ]
label_time_9 [ TEXT ]
label_time_10 [ TEXT ]
label_time_11 [ TEXT ]
label_time_12 [ TEXT ]
label_time_13 [ TEXT ]
label_time_14 [ TEXT ]
label_time_15 [ TEXT ]
label_time_16 [ TEXT ]
label_time_17 [ TEXT ]
label_time_18 [ TEXT ]
label_time_19 [ TEXT ]
label_time_20 [ TEXT ]
label_time_21 [ TEXT ]
label_time_22 [ TEXT ]
label_time_23 [ TEXT ]
Elite :
user_id [ INTEGER ]
year_id [ INTEGER ]
Reviews :
business_id [ INTEGER ]
user_id [ INTEGER ]
review_stars [ INTEGER ]
review_votes_funny [ TEXT ]
review_votes_useful [ TEXT ]
review_votes_cool [ TEXT ]
review_length [ TEXT ]
Tips :
business_id [ INTEGER ]
user_id [ INTEGER ]
likes [ INTEGER ]
tip_length [ TEXT ]
Users_Compliments :
compliment_id [ INTEGER ]
user_id [ INTEGER ]
number_of_compliments [ TEXT ]
Business :
business_id [ INTEGER ] primary_key
active [ TEXT ]
city [ TEXT ]
state [ TEXT ]
stars [ REAL ]
review_count [ TEXT ]
Users :
user_id [ INTEGER ] primary_key
user_yelping_since_year [ INTEGER ]
user_average_stars [ TEXT ]
user_votes_funny [ TEXT ]
user_votes_useful [ TEXT ]
user_votes_cool [ TEXT ]
user_review_count [ TEXT ]
user_fans [ TEXT ]
Please write me a SQL statement that answers the following question: Among all closed businesses in Avondale, AZ what percent have obtained a 'wonderful experience' rating of the business. [/INST] | SELECT CAST(SUM(CASE WHEN stars > 3 THEN 1 ELSE 0 END) AS REAL) * 100 / COUNT(stars) FROM Business WHERE city = 'Avondale' AND active = 'false'; |
[INST] Here is a database schema:
Attributes :
attribute_id [ INTEGER ] primary_key
attribute_name [ TEXT ]
Categories :
category_id [ INTEGER ] primary_key
category_name [ TEXT ]
Compliments :
compliment_id [ INTEGER ] primary_key
compliment_type [ TEXT ]
Days :
day_id [ INTEGER ] primary_key
day_of_week [ TEXT ]
Years :
year_id [ INTEGER ] primary_key
actual_year [ INTEGER ]
Business_Attributes :
attribute_id [ INTEGER ]
business_id [ INTEGER ]
attribute_value [ TEXT ]
Business_Categories :
business_id [ INTEGER ]
category_id [ INTEGER ]
Business_Hours :
business_id [ INTEGER ]
day_id [ INTEGER ]
opening_time [ TEXT ]
closing_time [ TEXT ]
Checkins :
business_id [ INTEGER ]
day_id [ INTEGER ]
label_time_0 [ TEXT ]
label_time_1 [ TEXT ]
label_time_2 [ TEXT ]
label_time_3 [ TEXT ]
label_time_4 [ TEXT ]
label_time_5 [ TEXT ]
label_time_6 [ TEXT ]
label_time_7 [ TEXT ]
label_time_8 [ TEXT ]
label_time_9 [ TEXT ]
label_time_10 [ TEXT ]
label_time_11 [ TEXT ]
label_time_12 [ TEXT ]
label_time_13 [ TEXT ]
label_time_14 [ TEXT ]
label_time_15 [ TEXT ]
label_time_16 [ TEXT ]
label_time_17 [ TEXT ]
label_time_18 [ TEXT ]
label_time_19 [ TEXT ]
label_time_20 [ TEXT ]
label_time_21 [ TEXT ]
label_time_22 [ TEXT ]
label_time_23 [ TEXT ]
Elite :
user_id [ INTEGER ]
year_id [ INTEGER ]
Reviews :
business_id [ INTEGER ]
user_id [ INTEGER ]
review_stars [ INTEGER ]
review_votes_funny [ TEXT ]
review_votes_useful [ TEXT ]
review_votes_cool [ TEXT ]
review_length [ TEXT ]
Tips :
business_id [ INTEGER ]
user_id [ INTEGER ]
likes [ INTEGER ]
tip_length [ TEXT ]
Users_Compliments :
compliment_id [ INTEGER ]
user_id [ INTEGER ]
number_of_compliments [ TEXT ]
Business :
business_id [ INTEGER ] primary_key
active [ TEXT ]
city [ TEXT ]
state [ TEXT ]
stars [ REAL ]
review_count [ TEXT ]
Users :
user_id [ INTEGER ] primary_key
user_yelping_since_year [ INTEGER ]
user_average_stars [ TEXT ]
user_votes_funny [ TEXT ]
user_votes_useful [ TEXT ]
user_votes_cool [ TEXT ]
user_review_count [ TEXT ]
user_fans [ TEXT ]
Please write me a SQL statement that answers the following question: Identify the user who has been yelping since 2004. Is he or she an Yelp Elite member? [/INST] | SELECT DISTINCT T2.user_id FROM Users AS T1 INNER JOIN Elite AS T2 ON T1.user_id = T2.user_id WHERE T1.user_yelping_since_year = 2004; |
[INST] Here is a database schema:
Attributes :
attribute_id [ INTEGER ] primary_key
attribute_name [ TEXT ]
Categories :
category_id [ INTEGER ] primary_key
category_name [ TEXT ]
Compliments :
compliment_id [ INTEGER ] primary_key
compliment_type [ TEXT ]
Days :
day_id [ INTEGER ] primary_key
day_of_week [ TEXT ]
Years :
year_id [ INTEGER ] primary_key
actual_year [ INTEGER ]
Business_Attributes :
attribute_id [ INTEGER ]
business_id [ INTEGER ]
attribute_value [ TEXT ]
Business_Categories :
business_id [ INTEGER ]
category_id [ INTEGER ]
Business_Hours :
business_id [ INTEGER ]
day_id [ INTEGER ]
opening_time [ TEXT ]
closing_time [ TEXT ]
Checkins :
business_id [ INTEGER ]
day_id [ INTEGER ]
label_time_0 [ TEXT ]
label_time_1 [ TEXT ]
label_time_2 [ TEXT ]
label_time_3 [ TEXT ]
label_time_4 [ TEXT ]
label_time_5 [ TEXT ]
label_time_6 [ TEXT ]
label_time_7 [ TEXT ]
label_time_8 [ TEXT ]
label_time_9 [ TEXT ]
label_time_10 [ TEXT ]
label_time_11 [ TEXT ]
label_time_12 [ TEXT ]
label_time_13 [ TEXT ]
label_time_14 [ TEXT ]
label_time_15 [ TEXT ]
label_time_16 [ TEXT ]
label_time_17 [ TEXT ]
label_time_18 [ TEXT ]
label_time_19 [ TEXT ]
label_time_20 [ TEXT ]
label_time_21 [ TEXT ]
label_time_22 [ TEXT ]
label_time_23 [ TEXT ]
Elite :
user_id [ INTEGER ]
year_id [ INTEGER ]
Reviews :
business_id [ INTEGER ]
user_id [ INTEGER ]
review_stars [ INTEGER ]
review_votes_funny [ TEXT ]
review_votes_useful [ TEXT ]
review_votes_cool [ TEXT ]
review_length [ TEXT ]
Tips :
business_id [ INTEGER ]
user_id [ INTEGER ]
likes [ INTEGER ]
tip_length [ TEXT ]
Users_Compliments :
compliment_id [ INTEGER ]
user_id [ INTEGER ]
number_of_compliments [ TEXT ]
Business :
business_id [ INTEGER ] primary_key
active [ TEXT ]
city [ TEXT ]
state [ TEXT ]
stars [ REAL ]
review_count [ TEXT ]
Users :
user_id [ INTEGER ] primary_key
user_yelping_since_year [ INTEGER ]
user_average_stars [ TEXT ]
user_votes_funny [ TEXT ]
user_votes_useful [ TEXT ]
user_votes_cool [ TEXT ]
user_review_count [ TEXT ]
user_fans [ TEXT ]
Please write me a SQL statement that answers the following question: Identify the percent of long reviews among all 5-star reviews given to businesses by the Yelp users. [/INST] | SELECT CAST(SUM(CASE WHEN review_length = 'Long' THEN 1 ELSE 0 END) AS REAL) * 100 / COUNT(review_length) FROM Reviews WHERE review_stars = 5; |
[INST] Here is a database schema:
Attributes :
attribute_id [ INTEGER ] primary_key
attribute_name [ TEXT ]
Categories :
category_id [ INTEGER ] primary_key
category_name [ TEXT ]
Compliments :
compliment_id [ INTEGER ] primary_key
compliment_type [ TEXT ]
Days :
day_id [ INTEGER ] primary_key
day_of_week [ TEXT ]
Years :
year_id [ INTEGER ] primary_key
actual_year [ INTEGER ]
Business_Attributes :
attribute_id [ INTEGER ]
business_id [ INTEGER ]
attribute_value [ TEXT ]
Business_Categories :
business_id [ INTEGER ]
category_id [ INTEGER ]
Business_Hours :
business_id [ INTEGER ]
day_id [ INTEGER ]
opening_time [ TEXT ]
closing_time [ TEXT ]
Checkins :
business_id [ INTEGER ]
day_id [ INTEGER ]
label_time_0 [ TEXT ]
label_time_1 [ TEXT ]
label_time_2 [ TEXT ]
label_time_3 [ TEXT ]
label_time_4 [ TEXT ]
label_time_5 [ TEXT ]
label_time_6 [ TEXT ]
label_time_7 [ TEXT ]
label_time_8 [ TEXT ]
label_time_9 [ TEXT ]
label_time_10 [ TEXT ]
label_time_11 [ TEXT ]
label_time_12 [ TEXT ]
label_time_13 [ TEXT ]
label_time_14 [ TEXT ]
label_time_15 [ TEXT ]
label_time_16 [ TEXT ]
label_time_17 [ TEXT ]
label_time_18 [ TEXT ]
label_time_19 [ TEXT ]
label_time_20 [ TEXT ]
label_time_21 [ TEXT ]
label_time_22 [ TEXT ]
label_time_23 [ TEXT ]
Elite :
user_id [ INTEGER ]
year_id [ INTEGER ]
Reviews :
business_id [ INTEGER ]
user_id [ INTEGER ]
review_stars [ INTEGER ]
review_votes_funny [ TEXT ]
review_votes_useful [ TEXT ]
review_votes_cool [ TEXT ]
review_length [ TEXT ]
Tips :
business_id [ INTEGER ]
user_id [ INTEGER ]
likes [ INTEGER ]
tip_length [ TEXT ]
Users_Compliments :
compliment_id [ INTEGER ]
user_id [ INTEGER ]
number_of_compliments [ TEXT ]
Business :
business_id [ INTEGER ] primary_key
active [ TEXT ]
city [ TEXT ]
state [ TEXT ]
stars [ REAL ]
review_count [ TEXT ]
Users :
user_id [ INTEGER ] primary_key
user_yelping_since_year [ INTEGER ]
user_average_stars [ TEXT ]
user_votes_funny [ TEXT ]
user_votes_useful [ TEXT ]
user_votes_cool [ TEXT ]
user_review_count [ TEXT ]
user_fans [ TEXT ]
Please write me a SQL statement that answers the following question: Among all the users with the average ratings of at least 4 and above of all reviews, calculate the percent that have no fans or followers. [/INST] | SELECT CAST(SUM(CASE WHEN user_fans = 'None' THEN 1 ELSE 0 END) AS REAL) * 100 / COUNT(user_id) FROM Users WHERE user_average_stars >= 4; |
[INST] Here is a database schema:
Attributes :
attribute_id [ INTEGER ] primary_key
attribute_name [ TEXT ]
Categories :
category_id [ INTEGER ] primary_key
category_name [ TEXT ]
Compliments :
compliment_id [ INTEGER ] primary_key
compliment_type [ TEXT ]
Days :
day_id [ INTEGER ] primary_key
day_of_week [ TEXT ]
Years :
year_id [ INTEGER ] primary_key
actual_year [ INTEGER ]
Business_Attributes :
attribute_id [ INTEGER ]
business_id [ INTEGER ]
attribute_value [ TEXT ]
Business_Categories :
business_id [ INTEGER ]
category_id [ INTEGER ]
Business_Hours :
business_id [ INTEGER ]
day_id [ INTEGER ]
opening_time [ TEXT ]
closing_time [ TEXT ]
Checkins :
business_id [ INTEGER ]
day_id [ INTEGER ]
label_time_0 [ TEXT ]
label_time_1 [ TEXT ]
label_time_2 [ TEXT ]
label_time_3 [ TEXT ]
label_time_4 [ TEXT ]
label_time_5 [ TEXT ]
label_time_6 [ TEXT ]
label_time_7 [ TEXT ]
label_time_8 [ TEXT ]
label_time_9 [ TEXT ]
label_time_10 [ TEXT ]
label_time_11 [ TEXT ]
label_time_12 [ TEXT ]
label_time_13 [ TEXT ]
label_time_14 [ TEXT ]
label_time_15 [ TEXT ]
label_time_16 [ TEXT ]
label_time_17 [ TEXT ]
label_time_18 [ TEXT ]
label_time_19 [ TEXT ]
label_time_20 [ TEXT ]
label_time_21 [ TEXT ]
label_time_22 [ TEXT ]
label_time_23 [ TEXT ]
Elite :
user_id [ INTEGER ]
year_id [ INTEGER ]
Reviews :
business_id [ INTEGER ]
user_id [ INTEGER ]
review_stars [ INTEGER ]
review_votes_funny [ TEXT ]
review_votes_useful [ TEXT ]
review_votes_cool [ TEXT ]
review_length [ TEXT ]
Tips :
business_id [ INTEGER ]
user_id [ INTEGER ]
likes [ INTEGER ]
tip_length [ TEXT ]
Users_Compliments :
compliment_id [ INTEGER ]
user_id [ INTEGER ]
number_of_compliments [ TEXT ]
Business :
business_id [ INTEGER ] primary_key
active [ TEXT ]
city [ TEXT ]
state [ TEXT ]
stars [ REAL ]
review_count [ TEXT ]
Users :
user_id [ INTEGER ] primary_key
user_yelping_since_year [ INTEGER ]
user_average_stars [ TEXT ]
user_votes_funny [ TEXT ]
user_votes_useful [ TEXT ]
user_votes_cool [ TEXT ]
user_review_count [ TEXT ]
user_fans [ TEXT ]
Please write me a SQL statement that answers the following question: How many short tips were left for the business with ID no.2? [/INST] | SELECT COUNT(business_id) FROM Tips WHERE business_id = 2 AND tip_length = 'Short'; |
[INST] Here is a database schema:
Attributes :
attribute_id [ INTEGER ] primary_key
attribute_name [ TEXT ]
Categories :
category_id [ INTEGER ] primary_key
category_name [ TEXT ]
Compliments :
compliment_id [ INTEGER ] primary_key
compliment_type [ TEXT ]
Days :
day_id [ INTEGER ] primary_key
day_of_week [ TEXT ]
Years :
year_id [ INTEGER ] primary_key
actual_year [ INTEGER ]
Business_Attributes :
attribute_id [ INTEGER ]
business_id [ INTEGER ]
attribute_value [ TEXT ]
Business_Categories :
business_id [ INTEGER ]
category_id [ INTEGER ]
Business_Hours :
business_id [ INTEGER ]
day_id [ INTEGER ]
opening_time [ TEXT ]
closing_time [ TEXT ]
Checkins :
business_id [ INTEGER ]
day_id [ INTEGER ]
label_time_0 [ TEXT ]
label_time_1 [ TEXT ]
label_time_2 [ TEXT ]
label_time_3 [ TEXT ]
label_time_4 [ TEXT ]
label_time_5 [ TEXT ]
label_time_6 [ TEXT ]
label_time_7 [ TEXT ]
label_time_8 [ TEXT ]
label_time_9 [ TEXT ]
label_time_10 [ TEXT ]
label_time_11 [ TEXT ]
label_time_12 [ TEXT ]
label_time_13 [ TEXT ]
label_time_14 [ TEXT ]
label_time_15 [ TEXT ]
label_time_16 [ TEXT ]
label_time_17 [ TEXT ]
label_time_18 [ TEXT ]
label_time_19 [ TEXT ]
label_time_20 [ TEXT ]
label_time_21 [ TEXT ]
label_time_22 [ TEXT ]
label_time_23 [ TEXT ]
Elite :
user_id [ INTEGER ]
year_id [ INTEGER ]
Reviews :
business_id [ INTEGER ]
user_id [ INTEGER ]
review_stars [ INTEGER ]
review_votes_funny [ TEXT ]
review_votes_useful [ TEXT ]
review_votes_cool [ TEXT ]
review_length [ TEXT ]
Tips :
business_id [ INTEGER ]
user_id [ INTEGER ]
likes [ INTEGER ]
tip_length [ TEXT ]
Users_Compliments :
compliment_id [ INTEGER ]
user_id [ INTEGER ]
number_of_compliments [ TEXT ]
Business :
business_id [ INTEGER ] primary_key
active [ TEXT ]
city [ TEXT ]
state [ TEXT ]
stars [ REAL ]
review_count [ TEXT ]
Users :
user_id [ INTEGER ] primary_key
user_yelping_since_year [ INTEGER ]
user_average_stars [ TEXT ]
user_votes_funny [ TEXT ]
user_votes_useful [ TEXT ]
user_votes_cool [ TEXT ]
user_review_count [ TEXT ]
user_fans [ TEXT ]
Please write me a SQL statement that answers the following question: Find the Yelp user with the average 5-star rating of all reviews who has been yelping the longest. [/INST] | SELECT user_id FROM Users WHERE user_average_stars = 5 ORDER BY user_yelping_since_year ASC LIMIT 1; |
[INST] Here is a database schema:
Attributes :
attribute_id [ INTEGER ] primary_key
attribute_name [ TEXT ]
Categories :
category_id [ INTEGER ] primary_key
category_name [ TEXT ]
Compliments :
compliment_id [ INTEGER ] primary_key
compliment_type [ TEXT ]
Days :
day_id [ INTEGER ] primary_key
day_of_week [ TEXT ]
Years :
year_id [ INTEGER ] primary_key
actual_year [ INTEGER ]
Business_Attributes :
attribute_id [ INTEGER ]
business_id [ INTEGER ]
attribute_value [ TEXT ]
Business_Categories :
business_id [ INTEGER ]
category_id [ INTEGER ]
Business_Hours :
business_id [ INTEGER ]
day_id [ INTEGER ]
opening_time [ TEXT ]
closing_time [ TEXT ]
Checkins :
business_id [ INTEGER ]
day_id [ INTEGER ]
label_time_0 [ TEXT ]
label_time_1 [ TEXT ]
label_time_2 [ TEXT ]
label_time_3 [ TEXT ]
label_time_4 [ TEXT ]
label_time_5 [ TEXT ]
label_time_6 [ TEXT ]
label_time_7 [ TEXT ]
label_time_8 [ TEXT ]
label_time_9 [ TEXT ]
label_time_10 [ TEXT ]
label_time_11 [ TEXT ]
label_time_12 [ TEXT ]
label_time_13 [ TEXT ]
label_time_14 [ TEXT ]
label_time_15 [ TEXT ]
label_time_16 [ TEXT ]
label_time_17 [ TEXT ]
label_time_18 [ TEXT ]
label_time_19 [ TEXT ]
label_time_20 [ TEXT ]
label_time_21 [ TEXT ]
label_time_22 [ TEXT ]
label_time_23 [ TEXT ]
Elite :
user_id [ INTEGER ]
year_id [ INTEGER ]
Reviews :
business_id [ INTEGER ]
user_id [ INTEGER ]
review_stars [ INTEGER ]
review_votes_funny [ TEXT ]
review_votes_useful [ TEXT ]
review_votes_cool [ TEXT ]
review_length [ TEXT ]
Tips :
business_id [ INTEGER ]
user_id [ INTEGER ]
likes [ INTEGER ]
tip_length [ TEXT ]
Users_Compliments :
compliment_id [ INTEGER ]
user_id [ INTEGER ]
number_of_compliments [ TEXT ]
Business :
business_id [ INTEGER ] primary_key
active [ TEXT ]
city [ TEXT ]
state [ TEXT ]
stars [ REAL ]
review_count [ TEXT ]
Users :
user_id [ INTEGER ] primary_key
user_yelping_since_year [ INTEGER ]
user_average_stars [ TEXT ]
user_votes_funny [ TEXT ]
user_votes_useful [ TEXT ]
user_votes_cool [ TEXT ]
user_review_count [ TEXT ]
user_fans [ TEXT ]
Please write me a SQL statement that answers the following question: Identify the operating hours of businesses in Black Canyon City with review count greater than average. [/INST] | SELECT T2.opening_time, T2.closing_time FROM Business AS T1 INNER JOIN Business_Hours AS T2 ON T1.business_id = T2.business_id INNER JOIN Days AS T3 ON T2.day_id = T3.day_id WHERE T1.city = 'Black Canyon City' GROUP BY t2.business_id HAVING T1.review_count > AVG(T1.review_count); |
[INST] Here is a database schema:
Attributes :
attribute_id [ INTEGER ] primary_key
attribute_name [ TEXT ]
Categories :
category_id [ INTEGER ] primary_key
category_name [ TEXT ]
Compliments :
compliment_id [ INTEGER ] primary_key
compliment_type [ TEXT ]
Days :
day_id [ INTEGER ] primary_key
day_of_week [ TEXT ]
Years :
year_id [ INTEGER ] primary_key
actual_year [ INTEGER ]
Business_Attributes :
attribute_id [ INTEGER ]
business_id [ INTEGER ]
attribute_value [ TEXT ]
Business_Categories :
business_id [ INTEGER ]
category_id [ INTEGER ]
Business_Hours :
business_id [ INTEGER ]
day_id [ INTEGER ]
opening_time [ TEXT ]
closing_time [ TEXT ]
Checkins :
business_id [ INTEGER ]
day_id [ INTEGER ]
label_time_0 [ TEXT ]
label_time_1 [ TEXT ]
label_time_2 [ TEXT ]
label_time_3 [ TEXT ]
label_time_4 [ TEXT ]
label_time_5 [ TEXT ]
label_time_6 [ TEXT ]
label_time_7 [ TEXT ]
label_time_8 [ TEXT ]
label_time_9 [ TEXT ]
label_time_10 [ TEXT ]
label_time_11 [ TEXT ]
label_time_12 [ TEXT ]
label_time_13 [ TEXT ]
label_time_14 [ TEXT ]
label_time_15 [ TEXT ]
label_time_16 [ TEXT ]
label_time_17 [ TEXT ]
label_time_18 [ TEXT ]
label_time_19 [ TEXT ]
label_time_20 [ TEXT ]
label_time_21 [ TEXT ]
label_time_22 [ TEXT ]
label_time_23 [ TEXT ]
Elite :
user_id [ INTEGER ]
year_id [ INTEGER ]
Reviews :
business_id [ INTEGER ]
user_id [ INTEGER ]
review_stars [ INTEGER ]
review_votes_funny [ TEXT ]
review_votes_useful [ TEXT ]
review_votes_cool [ TEXT ]
review_length [ TEXT ]
Tips :
business_id [ INTEGER ]
user_id [ INTEGER ]
likes [ INTEGER ]
tip_length [ TEXT ]
Users_Compliments :
compliment_id [ INTEGER ]
user_id [ INTEGER ]
number_of_compliments [ TEXT ]
Business :
business_id [ INTEGER ] primary_key
active [ TEXT ]
city [ TEXT ]
state [ TEXT ]
stars [ REAL ]
review_count [ TEXT ]
Users :
user_id [ INTEGER ] primary_key
user_yelping_since_year [ INTEGER ]
user_average_stars [ TEXT ]
user_votes_funny [ TEXT ]
user_votes_useful [ TEXT ]
user_votes_cool [ TEXT ]
user_review_count [ TEXT ]
user_fans [ TEXT ]
Please write me a SQL statement that answers the following question: Among all the users who received the high number of compliments, what percent received the 'cute' type of compliment. [/INST] | SELECT CAST(SUM(CASE WHEN T1.compliment_type = 'cute' THEN 1 ELSE 0 END) AS REAL) * 100 / COUNT(T2.user_id) FROM Compliments AS T1 INNER JOIN Users_Compliments AS T2 ON T1.compliment_id = T2.compliment_id WHERE T2.number_of_compliments = 'High'; |
[INST] Here is a database schema:
Attributes :
attribute_id [ INTEGER ] primary_key
attribute_name [ TEXT ]
Categories :
category_id [ INTEGER ] primary_key
category_name [ TEXT ]
Compliments :
compliment_id [ INTEGER ] primary_key
compliment_type [ TEXT ]
Days :
day_id [ INTEGER ] primary_key
day_of_week [ TEXT ]
Years :
year_id [ INTEGER ] primary_key
actual_year [ INTEGER ]
Business_Attributes :
attribute_id [ INTEGER ]
business_id [ INTEGER ]
attribute_value [ TEXT ]
Business_Categories :
business_id [ INTEGER ]
category_id [ INTEGER ]
Business_Hours :
business_id [ INTEGER ]
day_id [ INTEGER ]
opening_time [ TEXT ]
closing_time [ TEXT ]
Checkins :
business_id [ INTEGER ]
day_id [ INTEGER ]
label_time_0 [ TEXT ]
label_time_1 [ TEXT ]
label_time_2 [ TEXT ]
label_time_3 [ TEXT ]
label_time_4 [ TEXT ]
label_time_5 [ TEXT ]
label_time_6 [ TEXT ]
label_time_7 [ TEXT ]
label_time_8 [ TEXT ]
label_time_9 [ TEXT ]
label_time_10 [ TEXT ]
label_time_11 [ TEXT ]
label_time_12 [ TEXT ]
label_time_13 [ TEXT ]
label_time_14 [ TEXT ]
label_time_15 [ TEXT ]
label_time_16 [ TEXT ]
label_time_17 [ TEXT ]
label_time_18 [ TEXT ]
label_time_19 [ TEXT ]
label_time_20 [ TEXT ]
label_time_21 [ TEXT ]
label_time_22 [ TEXT ]
label_time_23 [ TEXT ]
Elite :
user_id [ INTEGER ]
year_id [ INTEGER ]
Reviews :
business_id [ INTEGER ]
user_id [ INTEGER ]
review_stars [ INTEGER ]
review_votes_funny [ TEXT ]
review_votes_useful [ TEXT ]
review_votes_cool [ TEXT ]
review_length [ TEXT ]
Tips :
business_id [ INTEGER ]
user_id [ INTEGER ]
likes [ INTEGER ]
tip_length [ TEXT ]
Users_Compliments :
compliment_id [ INTEGER ]
user_id [ INTEGER ]
number_of_compliments [ TEXT ]
Business :
business_id [ INTEGER ] primary_key
active [ TEXT ]
city [ TEXT ]
state [ TEXT ]
stars [ REAL ]
review_count [ TEXT ]
Users :
user_id [ INTEGER ] primary_key
user_yelping_since_year [ INTEGER ]
user_average_stars [ TEXT ]
user_votes_funny [ TEXT ]
user_votes_useful [ TEXT ]
user_votes_cool [ TEXT ]
user_review_count [ TEXT ]
user_fans [ TEXT ]
Please write me a SQL statement that answers the following question: Mention the number of businesses that have no any attribute. [/INST] | SELECT COUNT(business_id) FROM Business_Attributes WHERE attribute_value IN ('none', 'no', 'false'); |
[INST] Here is a database schema:
Attributes :
attribute_id [ INTEGER ] primary_key
attribute_name [ TEXT ]
Categories :
category_id [ INTEGER ] primary_key
category_name [ TEXT ]
Compliments :
compliment_id [ INTEGER ] primary_key
compliment_type [ TEXT ]
Days :
day_id [ INTEGER ] primary_key
day_of_week [ TEXT ]
Years :
year_id [ INTEGER ] primary_key
actual_year [ INTEGER ]
Business_Attributes :
attribute_id [ INTEGER ]
business_id [ INTEGER ]
attribute_value [ TEXT ]
Business_Categories :
business_id [ INTEGER ]
category_id [ INTEGER ]
Business_Hours :
business_id [ INTEGER ]
day_id [ INTEGER ]
opening_time [ TEXT ]
closing_time [ TEXT ]
Checkins :
business_id [ INTEGER ]
day_id [ INTEGER ]
label_time_0 [ TEXT ]
label_time_1 [ TEXT ]
label_time_2 [ TEXT ]
label_time_3 [ TEXT ]
label_time_4 [ TEXT ]
label_time_5 [ TEXT ]
label_time_6 [ TEXT ]
label_time_7 [ TEXT ]
label_time_8 [ TEXT ]
label_time_9 [ TEXT ]
label_time_10 [ TEXT ]
label_time_11 [ TEXT ]
label_time_12 [ TEXT ]
label_time_13 [ TEXT ]
label_time_14 [ TEXT ]
label_time_15 [ TEXT ]
label_time_16 [ TEXT ]
label_time_17 [ TEXT ]
label_time_18 [ TEXT ]
label_time_19 [ TEXT ]
label_time_20 [ TEXT ]
label_time_21 [ TEXT ]
label_time_22 [ TEXT ]
label_time_23 [ TEXT ]
Elite :
user_id [ INTEGER ]
year_id [ INTEGER ]
Reviews :
business_id [ INTEGER ]
user_id [ INTEGER ]
review_stars [ INTEGER ]
review_votes_funny [ TEXT ]
review_votes_useful [ TEXT ]
review_votes_cool [ TEXT ]
review_length [ TEXT ]
Tips :
business_id [ INTEGER ]
user_id [ INTEGER ]
likes [ INTEGER ]
tip_length [ TEXT ]
Users_Compliments :
compliment_id [ INTEGER ]
user_id [ INTEGER ]
number_of_compliments [ TEXT ]
Business :
business_id [ INTEGER ] primary_key
active [ TEXT ]
city [ TEXT ]
state [ TEXT ]
stars [ REAL ]
review_count [ TEXT ]
Users :
user_id [ INTEGER ] primary_key
user_yelping_since_year [ INTEGER ]
user_average_stars [ TEXT ]
user_votes_funny [ TEXT ]
user_votes_useful [ TEXT ]
user_votes_cool [ TEXT ]
user_review_count [ TEXT ]
user_fans [ TEXT ]
Please write me a SQL statement that answers the following question: What are the opening and closing time of business id 1 for day id 2? [/INST] | SELECT opening_time, closing_time FROM Business_Hours WHERE business_id = 1 AND day_id = 2; |
[INST] Here is a database schema:
Attributes :
attribute_id [ INTEGER ] primary_key
attribute_name [ TEXT ]
Categories :
category_id [ INTEGER ] primary_key
category_name [ TEXT ]
Compliments :
compliment_id [ INTEGER ] primary_key
compliment_type [ TEXT ]
Days :
day_id [ INTEGER ] primary_key
day_of_week [ TEXT ]
Years :
year_id [ INTEGER ] primary_key
actual_year [ INTEGER ]
Business_Attributes :
attribute_id [ INTEGER ]
business_id [ INTEGER ]
attribute_value [ TEXT ]
Business_Categories :
business_id [ INTEGER ]
category_id [ INTEGER ]
Business_Hours :
business_id [ INTEGER ]
day_id [ INTEGER ]
opening_time [ TEXT ]
closing_time [ TEXT ]
Checkins :
business_id [ INTEGER ]
day_id [ INTEGER ]
label_time_0 [ TEXT ]
label_time_1 [ TEXT ]
label_time_2 [ TEXT ]
label_time_3 [ TEXT ]
label_time_4 [ TEXT ]
label_time_5 [ TEXT ]
label_time_6 [ TEXT ]
label_time_7 [ TEXT ]
label_time_8 [ TEXT ]
label_time_9 [ TEXT ]
label_time_10 [ TEXT ]
label_time_11 [ TEXT ]
label_time_12 [ TEXT ]
label_time_13 [ TEXT ]
label_time_14 [ TEXT ]
label_time_15 [ TEXT ]
label_time_16 [ TEXT ]
label_time_17 [ TEXT ]
label_time_18 [ TEXT ]
label_time_19 [ TEXT ]
label_time_20 [ TEXT ]
label_time_21 [ TEXT ]
label_time_22 [ TEXT ]
label_time_23 [ TEXT ]
Elite :
user_id [ INTEGER ]
year_id [ INTEGER ]
Reviews :
business_id [ INTEGER ]
user_id [ INTEGER ]
review_stars [ INTEGER ]
review_votes_funny [ TEXT ]
review_votes_useful [ TEXT ]
review_votes_cool [ TEXT ]
review_length [ TEXT ]
Tips :
business_id [ INTEGER ]
user_id [ INTEGER ]
likes [ INTEGER ]
tip_length [ TEXT ]
Users_Compliments :
compliment_id [ INTEGER ]
user_id [ INTEGER ]
number_of_compliments [ TEXT ]
Business :
business_id [ INTEGER ] primary_key
active [ TEXT ]
city [ TEXT ]
state [ TEXT ]
stars [ REAL ]
review_count [ TEXT ]
Users :
user_id [ INTEGER ] primary_key
user_yelping_since_year [ INTEGER ]
user_average_stars [ TEXT ]
user_votes_funny [ TEXT ]
user_votes_useful [ TEXT ]
user_votes_cool [ TEXT ]
user_review_count [ TEXT ]
user_fans [ TEXT ]
Please write me a SQL statement that answers the following question: List out city name of businesses which have medium length of review. [/INST] | SELECT DISTINCT T1.city FROM Business AS T1 INNER JOIN Reviews AS T2 ON T1.business_id = T2.business_id WHERE T2.review_length = 'Medium'; |
[INST] Here is a database schema:
Attributes :
attribute_id [ INTEGER ] primary_key
attribute_name [ TEXT ]
Categories :
category_id [ INTEGER ] primary_key
category_name [ TEXT ]
Compliments :
compliment_id [ INTEGER ] primary_key
compliment_type [ TEXT ]
Days :
day_id [ INTEGER ] primary_key
day_of_week [ TEXT ]
Years :
year_id [ INTEGER ] primary_key
actual_year [ INTEGER ]
Business_Attributes :
attribute_id [ INTEGER ]
business_id [ INTEGER ]
attribute_value [ TEXT ]
Business_Categories :
business_id [ INTEGER ]
category_id [ INTEGER ]
Business_Hours :
business_id [ INTEGER ]
day_id [ INTEGER ]
opening_time [ TEXT ]
closing_time [ TEXT ]
Checkins :
business_id [ INTEGER ]
day_id [ INTEGER ]
label_time_0 [ TEXT ]
label_time_1 [ TEXT ]
label_time_2 [ TEXT ]
label_time_3 [ TEXT ]
label_time_4 [ TEXT ]
label_time_5 [ TEXT ]
label_time_6 [ TEXT ]
label_time_7 [ TEXT ]
label_time_8 [ TEXT ]
label_time_9 [ TEXT ]
label_time_10 [ TEXT ]
label_time_11 [ TEXT ]
label_time_12 [ TEXT ]
label_time_13 [ TEXT ]
label_time_14 [ TEXT ]
label_time_15 [ TEXT ]
label_time_16 [ TEXT ]
label_time_17 [ TEXT ]
label_time_18 [ TEXT ]
label_time_19 [ TEXT ]
label_time_20 [ TEXT ]
label_time_21 [ TEXT ]
label_time_22 [ TEXT ]
label_time_23 [ TEXT ]
Elite :
user_id [ INTEGER ]
year_id [ INTEGER ]
Reviews :
business_id [ INTEGER ]
user_id [ INTEGER ]
review_stars [ INTEGER ]
review_votes_funny [ TEXT ]
review_votes_useful [ TEXT ]
review_votes_cool [ TEXT ]
review_length [ TEXT ]
Tips :
business_id [ INTEGER ]
user_id [ INTEGER ]
likes [ INTEGER ]
tip_length [ TEXT ]
Users_Compliments :
compliment_id [ INTEGER ]
user_id [ INTEGER ]
number_of_compliments [ TEXT ]
Business :
business_id [ INTEGER ] primary_key
active [ TEXT ]
city [ TEXT ]
state [ TEXT ]
stars [ REAL ]
review_count [ TEXT ]
Users :
user_id [ INTEGER ] primary_key
user_yelping_since_year [ INTEGER ]
user_average_stars [ TEXT ]
user_votes_funny [ TEXT ]
user_votes_useful [ TEXT ]
user_votes_cool [ TEXT ]
user_review_count [ TEXT ]
user_fans [ TEXT ]
Please write me a SQL statement that answers the following question: What is the closing time of business id 4 on Sunday? [/INST] | SELECT T2.closing_time FROM Days AS T1 INNER JOIN Business_Hours AS T2 ON T1.day_id = T2.day_id WHERE T1.day_of_week = 'Sunday' AND T2.business_id = 4; |
[INST] Here is a database schema:
Attributes :
attribute_id [ INTEGER ] primary_key
attribute_name [ TEXT ]
Categories :
category_id [ INTEGER ] primary_key
category_name [ TEXT ]
Compliments :
compliment_id [ INTEGER ] primary_key
compliment_type [ TEXT ]
Days :
day_id [ INTEGER ] primary_key
day_of_week [ TEXT ]
Years :
year_id [ INTEGER ] primary_key
actual_year [ INTEGER ]
Business_Attributes :
attribute_id [ INTEGER ]
business_id [ INTEGER ]
attribute_value [ TEXT ]
Business_Categories :
business_id [ INTEGER ]
category_id [ INTEGER ]
Business_Hours :
business_id [ INTEGER ]
day_id [ INTEGER ]
opening_time [ TEXT ]
closing_time [ TEXT ]
Checkins :
business_id [ INTEGER ]
day_id [ INTEGER ]
label_time_0 [ TEXT ]
label_time_1 [ TEXT ]
label_time_2 [ TEXT ]
label_time_3 [ TEXT ]
label_time_4 [ TEXT ]
label_time_5 [ TEXT ]
label_time_6 [ TEXT ]
label_time_7 [ TEXT ]
label_time_8 [ TEXT ]
label_time_9 [ TEXT ]
label_time_10 [ TEXT ]
label_time_11 [ TEXT ]
label_time_12 [ TEXT ]
label_time_13 [ TEXT ]
label_time_14 [ TEXT ]
label_time_15 [ TEXT ]
label_time_16 [ TEXT ]
label_time_17 [ TEXT ]
label_time_18 [ TEXT ]
label_time_19 [ TEXT ]
label_time_20 [ TEXT ]
label_time_21 [ TEXT ]
label_time_22 [ TEXT ]
label_time_23 [ TEXT ]
Elite :
user_id [ INTEGER ]
year_id [ INTEGER ]
Reviews :
business_id [ INTEGER ]
user_id [ INTEGER ]
review_stars [ INTEGER ]
review_votes_funny [ TEXT ]
review_votes_useful [ TEXT ]
review_votes_cool [ TEXT ]
review_length [ TEXT ]
Tips :
business_id [ INTEGER ]
user_id [ INTEGER ]
likes [ INTEGER ]
tip_length [ TEXT ]
Users_Compliments :
compliment_id [ INTEGER ]
user_id [ INTEGER ]
number_of_compliments [ TEXT ]
Business :
business_id [ INTEGER ] primary_key
active [ TEXT ]
city [ TEXT ]
state [ TEXT ]
stars [ REAL ]
review_count [ TEXT ]
Users :
user_id [ INTEGER ] primary_key
user_yelping_since_year [ INTEGER ]
user_average_stars [ TEXT ]
user_votes_funny [ TEXT ]
user_votes_useful [ TEXT ]
user_votes_cool [ TEXT ]
user_review_count [ TEXT ]
user_fans [ TEXT ]
Please write me a SQL statement that answers the following question: Among the businesses which have short length of review, which one located in Phoenix? [/INST] | SELECT DISTINCT T1.business_id FROM Business AS T1 INNER JOIN Reviews AS T2 ON T1.business_id = T2.business_id WHERE T1.city = 'Phoenix' AND T2.review_length = 'Short'; |
[INST] Here is a database schema:
Attributes :
attribute_id [ INTEGER ] primary_key
attribute_name [ TEXT ]
Categories :
category_id [ INTEGER ] primary_key
category_name [ TEXT ]
Compliments :
compliment_id [ INTEGER ] primary_key
compliment_type [ TEXT ]
Days :
day_id [ INTEGER ] primary_key
day_of_week [ TEXT ]
Years :
year_id [ INTEGER ] primary_key
actual_year [ INTEGER ]
Business_Attributes :
attribute_id [ INTEGER ]
business_id [ INTEGER ]
attribute_value [ TEXT ]
Business_Categories :
business_id [ INTEGER ]
category_id [ INTEGER ]
Business_Hours :
business_id [ INTEGER ]
day_id [ INTEGER ]
opening_time [ TEXT ]
closing_time [ TEXT ]
Checkins :
business_id [ INTEGER ]
day_id [ INTEGER ]
label_time_0 [ TEXT ]
label_time_1 [ TEXT ]
label_time_2 [ TEXT ]
label_time_3 [ TEXT ]
label_time_4 [ TEXT ]
label_time_5 [ TEXT ]
label_time_6 [ TEXT ]
label_time_7 [ TEXT ]
label_time_8 [ TEXT ]
label_time_9 [ TEXT ]
label_time_10 [ TEXT ]
label_time_11 [ TEXT ]
label_time_12 [ TEXT ]
label_time_13 [ TEXT ]
label_time_14 [ TEXT ]
label_time_15 [ TEXT ]
label_time_16 [ TEXT ]
label_time_17 [ TEXT ]
label_time_18 [ TEXT ]
label_time_19 [ TEXT ]
label_time_20 [ TEXT ]
label_time_21 [ TEXT ]
label_time_22 [ TEXT ]
label_time_23 [ TEXT ]
Elite :
user_id [ INTEGER ]
year_id [ INTEGER ]
Reviews :
business_id [ INTEGER ]
user_id [ INTEGER ]
review_stars [ INTEGER ]
review_votes_funny [ TEXT ]
review_votes_useful [ TEXT ]
review_votes_cool [ TEXT ]
review_length [ TEXT ]
Tips :
business_id [ INTEGER ]
user_id [ INTEGER ]
likes [ INTEGER ]
tip_length [ TEXT ]
Users_Compliments :
compliment_id [ INTEGER ]
user_id [ INTEGER ]
number_of_compliments [ TEXT ]
Business :
business_id [ INTEGER ] primary_key
active [ TEXT ]
city [ TEXT ]
state [ TEXT ]
stars [ REAL ]
review_count [ TEXT ]
Users :
user_id [ INTEGER ] primary_key
user_yelping_since_year [ INTEGER ]
user_average_stars [ TEXT ]
user_votes_funny [ TEXT ]
user_votes_useful [ TEXT ]
user_votes_cool [ TEXT ]
user_review_count [ TEXT ]
user_fans [ TEXT ]
Please write me a SQL statement that answers the following question: Among the users whose fan is medium, how many users received high compliments from other users. [/INST] | SELECT COUNT(T1.user_id) FROM Users AS T1 INNER JOIN Users_Compliments AS T2 ON T1.user_id = T2.user_id WHERE T2.number_of_compliments = 'High' AND T1.user_fans = 'Medium'; |
[INST] Here is a database schema:
Attributes :
attribute_id [ INTEGER ] primary_key
attribute_name [ TEXT ]
Categories :
category_id [ INTEGER ] primary_key
category_name [ TEXT ]
Compliments :
compliment_id [ INTEGER ] primary_key
compliment_type [ TEXT ]
Days :
day_id [ INTEGER ] primary_key
day_of_week [ TEXT ]
Years :
year_id [ INTEGER ] primary_key
actual_year [ INTEGER ]
Business_Attributes :
attribute_id [ INTEGER ]
business_id [ INTEGER ]
attribute_value [ TEXT ]
Business_Categories :
business_id [ INTEGER ]
category_id [ INTEGER ]
Business_Hours :
business_id [ INTEGER ]
day_id [ INTEGER ]
opening_time [ TEXT ]
closing_time [ TEXT ]
Checkins :
business_id [ INTEGER ]
day_id [ INTEGER ]
label_time_0 [ TEXT ]
label_time_1 [ TEXT ]
label_time_2 [ TEXT ]
label_time_3 [ TEXT ]
label_time_4 [ TEXT ]
label_time_5 [ TEXT ]
label_time_6 [ TEXT ]
label_time_7 [ TEXT ]
label_time_8 [ TEXT ]
label_time_9 [ TEXT ]
label_time_10 [ TEXT ]
label_time_11 [ TEXT ]
label_time_12 [ TEXT ]
label_time_13 [ TEXT ]
label_time_14 [ TEXT ]
label_time_15 [ TEXT ]
label_time_16 [ TEXT ]
label_time_17 [ TEXT ]
label_time_18 [ TEXT ]
label_time_19 [ TEXT ]
label_time_20 [ TEXT ]
label_time_21 [ TEXT ]
label_time_22 [ TEXT ]
label_time_23 [ TEXT ]
Elite :
user_id [ INTEGER ]
year_id [ INTEGER ]
Reviews :
business_id [ INTEGER ]
user_id [ INTEGER ]
review_stars [ INTEGER ]
review_votes_funny [ TEXT ]
review_votes_useful [ TEXT ]
review_votes_cool [ TEXT ]
review_length [ TEXT ]
Tips :
business_id [ INTEGER ]
user_id [ INTEGER ]
likes [ INTEGER ]
tip_length [ TEXT ]
Users_Compliments :
compliment_id [ INTEGER ]
user_id [ INTEGER ]
number_of_compliments [ TEXT ]
Business :
business_id [ INTEGER ] primary_key
active [ TEXT ]
city [ TEXT ]
state [ TEXT ]
stars [ REAL ]
review_count [ TEXT ]
Users :
user_id [ INTEGER ] primary_key
user_yelping_since_year [ INTEGER ]
user_average_stars [ TEXT ]
user_votes_funny [ TEXT ]
user_votes_useful [ TEXT ]
user_votes_cool [ TEXT ]
user_review_count [ TEXT ]
user_fans [ TEXT ]
Please write me a SQL statement that answers the following question: Among the users who received low compliments from other users, which users joined Yelp in 2012? [/INST] | SELECT DISTINCT T2.user_id FROM Users AS T1 INNER JOIN Users_Compliments AS T2 ON T1.user_id = T2.user_id WHERE T1.user_yelping_since_year = 2012 AND T2.number_of_compliments = 'Low'; |
[INST] Here is a database schema:
Attributes :
attribute_id [ INTEGER ] primary_key
attribute_name [ TEXT ]
Categories :
category_id [ INTEGER ] primary_key
category_name [ TEXT ]
Compliments :
compliment_id [ INTEGER ] primary_key
compliment_type [ TEXT ]
Days :
day_id [ INTEGER ] primary_key
day_of_week [ TEXT ]
Years :
year_id [ INTEGER ] primary_key
actual_year [ INTEGER ]
Business_Attributes :
attribute_id [ INTEGER ]
business_id [ INTEGER ]
attribute_value [ TEXT ]
Business_Categories :
business_id [ INTEGER ]
category_id [ INTEGER ]
Business_Hours :
business_id [ INTEGER ]
day_id [ INTEGER ]
opening_time [ TEXT ]
closing_time [ TEXT ]
Checkins :
business_id [ INTEGER ]
day_id [ INTEGER ]
label_time_0 [ TEXT ]
label_time_1 [ TEXT ]
label_time_2 [ TEXT ]
label_time_3 [ TEXT ]
label_time_4 [ TEXT ]
label_time_5 [ TEXT ]
label_time_6 [ TEXT ]
label_time_7 [ TEXT ]
label_time_8 [ TEXT ]
label_time_9 [ TEXT ]
label_time_10 [ TEXT ]
label_time_11 [ TEXT ]
label_time_12 [ TEXT ]
label_time_13 [ TEXT ]
label_time_14 [ TEXT ]
label_time_15 [ TEXT ]
label_time_16 [ TEXT ]
label_time_17 [ TEXT ]
label_time_18 [ TEXT ]
label_time_19 [ TEXT ]
label_time_20 [ TEXT ]
label_time_21 [ TEXT ]
label_time_22 [ TEXT ]
label_time_23 [ TEXT ]
Elite :
user_id [ INTEGER ]
year_id [ INTEGER ]
Reviews :
business_id [ INTEGER ]
user_id [ INTEGER ]
review_stars [ INTEGER ]
review_votes_funny [ TEXT ]
review_votes_useful [ TEXT ]
review_votes_cool [ TEXT ]
review_length [ TEXT ]
Tips :
business_id [ INTEGER ]
user_id [ INTEGER ]
likes [ INTEGER ]
tip_length [ TEXT ]
Users_Compliments :
compliment_id [ INTEGER ]
user_id [ INTEGER ]
number_of_compliments [ TEXT ]
Business :
business_id [ INTEGER ] primary_key
active [ TEXT ]
city [ TEXT ]
state [ TEXT ]
stars [ REAL ]
review_count [ TEXT ]
Users :
user_id [ INTEGER ] primary_key
user_yelping_since_year [ INTEGER ]
user_average_stars [ TEXT ]
user_votes_funny [ TEXT ]
user_votes_useful [ TEXT ]
user_votes_cool [ TEXT ]
user_review_count [ TEXT ]
user_fans [ TEXT ]
Please write me a SQL statement that answers the following question: Among the businesses without attribute, how many businesses located in Gilbert? [/INST] | SELECT COUNT(T2.business_id) FROM Business_Attributes AS T1 INNER JOIN Business AS T2 ON T1.business_id = T2.business_id WHERE T2.city = 'Gilbert' AND T1.attribute_value IN ('None', 'no', 'false'); |
[INST] Here is a database schema:
Attributes :
attribute_id [ INTEGER ] primary_key
attribute_name [ TEXT ]
Categories :
category_id [ INTEGER ] primary_key
category_name [ TEXT ]
Compliments :
compliment_id [ INTEGER ] primary_key
compliment_type [ TEXT ]
Days :
day_id [ INTEGER ] primary_key
day_of_week [ TEXT ]
Years :
year_id [ INTEGER ] primary_key
actual_year [ INTEGER ]
Business_Attributes :
attribute_id [ INTEGER ]
business_id [ INTEGER ]
attribute_value [ TEXT ]
Business_Categories :
business_id [ INTEGER ]
category_id [ INTEGER ]
Business_Hours :
business_id [ INTEGER ]
day_id [ INTEGER ]
opening_time [ TEXT ]
closing_time [ TEXT ]
Checkins :
business_id [ INTEGER ]
day_id [ INTEGER ]
label_time_0 [ TEXT ]
label_time_1 [ TEXT ]
label_time_2 [ TEXT ]
label_time_3 [ TEXT ]
label_time_4 [ TEXT ]
label_time_5 [ TEXT ]
label_time_6 [ TEXT ]
label_time_7 [ TEXT ]
label_time_8 [ TEXT ]
label_time_9 [ TEXT ]
label_time_10 [ TEXT ]
label_time_11 [ TEXT ]
label_time_12 [ TEXT ]
label_time_13 [ TEXT ]
label_time_14 [ TEXT ]
label_time_15 [ TEXT ]
label_time_16 [ TEXT ]
label_time_17 [ TEXT ]
label_time_18 [ TEXT ]
label_time_19 [ TEXT ]
label_time_20 [ TEXT ]
label_time_21 [ TEXT ]
label_time_22 [ TEXT ]
label_time_23 [ TEXT ]
Elite :
user_id [ INTEGER ]
year_id [ INTEGER ]
Reviews :
business_id [ INTEGER ]
user_id [ INTEGER ]
review_stars [ INTEGER ]
review_votes_funny [ TEXT ]
review_votes_useful [ TEXT ]
review_votes_cool [ TEXT ]
review_length [ TEXT ]
Tips :
business_id [ INTEGER ]
user_id [ INTEGER ]
likes [ INTEGER ]
tip_length [ TEXT ]
Users_Compliments :
compliment_id [ INTEGER ]
user_id [ INTEGER ]
number_of_compliments [ TEXT ]
Business :
business_id [ INTEGER ] primary_key
active [ TEXT ]
city [ TEXT ]
state [ TEXT ]
stars [ REAL ]
review_count [ TEXT ]
Users :
user_id [ INTEGER ] primary_key
user_yelping_since_year [ INTEGER ]
user_average_stars [ TEXT ]
user_votes_funny [ TEXT ]
user_votes_useful [ TEXT ]
user_votes_cool [ TEXT ]
user_review_count [ TEXT ]
user_fans [ TEXT ]
Please write me a SQL statement that answers the following question: Among the businesses with average rating, how many business has attribute of full_bar. [/INST] | SELECT COUNT(T1.business_id) FROM Business_Attributes AS T1 INNER JOIN Business AS T2 ON T1.business_id = T2.business_id WHERE T1.attribute_value = 'full_bar'; |
[INST] Here is a database schema:
Attributes :
attribute_id [ INTEGER ] primary_key
attribute_name [ TEXT ]
Categories :
category_id [ INTEGER ] primary_key
category_name [ TEXT ]
Compliments :
compliment_id [ INTEGER ] primary_key
compliment_type [ TEXT ]
Days :
day_id [ INTEGER ] primary_key
day_of_week [ TEXT ]
Years :
year_id [ INTEGER ] primary_key
actual_year [ INTEGER ]
Business_Attributes :
attribute_id [ INTEGER ]
business_id [ INTEGER ]
attribute_value [ TEXT ]
Business_Categories :
business_id [ INTEGER ]
category_id [ INTEGER ]
Business_Hours :
business_id [ INTEGER ]
day_id [ INTEGER ]
opening_time [ TEXT ]
closing_time [ TEXT ]
Checkins :
business_id [ INTEGER ]
day_id [ INTEGER ]
label_time_0 [ TEXT ]
label_time_1 [ TEXT ]
label_time_2 [ TEXT ]
label_time_3 [ TEXT ]
label_time_4 [ TEXT ]
label_time_5 [ TEXT ]
label_time_6 [ TEXT ]
label_time_7 [ TEXT ]
label_time_8 [ TEXT ]
label_time_9 [ TEXT ]
label_time_10 [ TEXT ]
label_time_11 [ TEXT ]
label_time_12 [ TEXT ]
label_time_13 [ TEXT ]
label_time_14 [ TEXT ]
label_time_15 [ TEXT ]
label_time_16 [ TEXT ]
label_time_17 [ TEXT ]
label_time_18 [ TEXT ]
label_time_19 [ TEXT ]
label_time_20 [ TEXT ]
label_time_21 [ TEXT ]
label_time_22 [ TEXT ]
label_time_23 [ TEXT ]
Elite :
user_id [ INTEGER ]
year_id [ INTEGER ]
Reviews :
business_id [ INTEGER ]
user_id [ INTEGER ]
review_stars [ INTEGER ]
review_votes_funny [ TEXT ]
review_votes_useful [ TEXT ]
review_votes_cool [ TEXT ]
review_length [ TEXT ]
Tips :
business_id [ INTEGER ]
user_id [ INTEGER ]
likes [ INTEGER ]
tip_length [ TEXT ]
Users_Compliments :
compliment_id [ INTEGER ]
user_id [ INTEGER ]
number_of_compliments [ TEXT ]
Business :
business_id [ INTEGER ] primary_key
active [ TEXT ]
city [ TEXT ]
state [ TEXT ]
stars [ REAL ]
review_count [ TEXT ]
Users :
user_id [ INTEGER ] primary_key
user_yelping_since_year [ INTEGER ]
user_average_stars [ TEXT ]
user_votes_funny [ TEXT ]
user_votes_useful [ TEXT ]
user_votes_cool [ TEXT ]
user_review_count [ TEXT ]
user_fans [ TEXT ]
Please write me a SQL statement that answers the following question: List out the state of businesses which have opening time at 1AM. [/INST] | SELECT DISTINCT T1.state FROM Business AS T1 INNER JOIN Business_Hours AS T2 ON T1.business_id = T2.business_id WHERE T2.opening_time = '1AM'; |
[INST] Here is a database schema:
Attributes :
attribute_id [ INTEGER ] primary_key
attribute_name [ TEXT ]
Categories :
category_id [ INTEGER ] primary_key
category_name [ TEXT ]
Compliments :
compliment_id [ INTEGER ] primary_key
compliment_type [ TEXT ]
Days :
day_id [ INTEGER ] primary_key
day_of_week [ TEXT ]
Years :
year_id [ INTEGER ] primary_key
actual_year [ INTEGER ]
Business_Attributes :
attribute_id [ INTEGER ]
business_id [ INTEGER ]
attribute_value [ TEXT ]
Business_Categories :
business_id [ INTEGER ]
category_id [ INTEGER ]
Business_Hours :
business_id [ INTEGER ]
day_id [ INTEGER ]
opening_time [ TEXT ]
closing_time [ TEXT ]
Checkins :
business_id [ INTEGER ]
day_id [ INTEGER ]
label_time_0 [ TEXT ]
label_time_1 [ TEXT ]
label_time_2 [ TEXT ]
label_time_3 [ TEXT ]
label_time_4 [ TEXT ]
label_time_5 [ TEXT ]
label_time_6 [ TEXT ]
label_time_7 [ TEXT ]
label_time_8 [ TEXT ]
label_time_9 [ TEXT ]
label_time_10 [ TEXT ]
label_time_11 [ TEXT ]
label_time_12 [ TEXT ]
label_time_13 [ TEXT ]
label_time_14 [ TEXT ]
label_time_15 [ TEXT ]
label_time_16 [ TEXT ]
label_time_17 [ TEXT ]
label_time_18 [ TEXT ]
label_time_19 [ TEXT ]
label_time_20 [ TEXT ]
label_time_21 [ TEXT ]
label_time_22 [ TEXT ]
label_time_23 [ TEXT ]
Elite :
user_id [ INTEGER ]
year_id [ INTEGER ]
Reviews :
business_id [ INTEGER ]
user_id [ INTEGER ]
review_stars [ INTEGER ]
review_votes_funny [ TEXT ]
review_votes_useful [ TEXT ]
review_votes_cool [ TEXT ]
review_length [ TEXT ]
Tips :
business_id [ INTEGER ]
user_id [ INTEGER ]
likes [ INTEGER ]
tip_length [ TEXT ]
Users_Compliments :
compliment_id [ INTEGER ]
user_id [ INTEGER ]
number_of_compliments [ TEXT ]
Business :
business_id [ INTEGER ] primary_key
active [ TEXT ]
city [ TEXT ]
state [ TEXT ]
stars [ REAL ]
review_count [ TEXT ]
Users :
user_id [ INTEGER ] primary_key
user_yelping_since_year [ INTEGER ]
user_average_stars [ TEXT ]
user_votes_funny [ TEXT ]
user_votes_useful [ TEXT ]
user_votes_cool [ TEXT ]
user_review_count [ TEXT ]
user_fans [ TEXT ]
Please write me a SQL statement that answers the following question: List out the category name of business id 5. [/INST] | SELECT T1.category_name FROM Categories AS T1 INNER JOIN Business_Categories AS T2 ON T1.category_id = T2.category_id WHERE T2.business_id = 5; |
[INST] Here is a database schema:
Attributes :
attribute_id [ INTEGER ] primary_key
attribute_name [ TEXT ]
Categories :
category_id [ INTEGER ] primary_key
category_name [ TEXT ]
Compliments :
compliment_id [ INTEGER ] primary_key
compliment_type [ TEXT ]
Days :
day_id [ INTEGER ] primary_key
day_of_week [ TEXT ]
Years :
year_id [ INTEGER ] primary_key
actual_year [ INTEGER ]
Business_Attributes :
attribute_id [ INTEGER ]
business_id [ INTEGER ]
attribute_value [ TEXT ]
Business_Categories :
business_id [ INTEGER ]
category_id [ INTEGER ]
Business_Hours :
business_id [ INTEGER ]
day_id [ INTEGER ]
opening_time [ TEXT ]
closing_time [ TEXT ]
Checkins :
business_id [ INTEGER ]
day_id [ INTEGER ]
label_time_0 [ TEXT ]
label_time_1 [ TEXT ]
label_time_2 [ TEXT ]
label_time_3 [ TEXT ]
label_time_4 [ TEXT ]
label_time_5 [ TEXT ]
label_time_6 [ TEXT ]
label_time_7 [ TEXT ]
label_time_8 [ TEXT ]
label_time_9 [ TEXT ]
label_time_10 [ TEXT ]
label_time_11 [ TEXT ]
label_time_12 [ TEXT ]
label_time_13 [ TEXT ]
label_time_14 [ TEXT ]
label_time_15 [ TEXT ]
label_time_16 [ TEXT ]
label_time_17 [ TEXT ]
label_time_18 [ TEXT ]
label_time_19 [ TEXT ]
label_time_20 [ TEXT ]
label_time_21 [ TEXT ]
label_time_22 [ TEXT ]
label_time_23 [ TEXT ]
Elite :
user_id [ INTEGER ]
year_id [ INTEGER ]
Reviews :
business_id [ INTEGER ]
user_id [ INTEGER ]
review_stars [ INTEGER ]
review_votes_funny [ TEXT ]
review_votes_useful [ TEXT ]
review_votes_cool [ TEXT ]
review_length [ TEXT ]
Tips :
business_id [ INTEGER ]
user_id [ INTEGER ]
likes [ INTEGER ]
tip_length [ TEXT ]
Users_Compliments :
compliment_id [ INTEGER ]
user_id [ INTEGER ]
number_of_compliments [ TEXT ]
Business :
business_id [ INTEGER ] primary_key
active [ TEXT ]
city [ TEXT ]
state [ TEXT ]
stars [ REAL ]
review_count [ TEXT ]
Users :
user_id [ INTEGER ] primary_key
user_yelping_since_year [ INTEGER ]
user_average_stars [ TEXT ]
user_votes_funny [ TEXT ]
user_votes_useful [ TEXT ]
user_votes_cool [ TEXT ]
user_review_count [ TEXT ]
user_fans [ TEXT ]
Please write me a SQL statement that answers the following question: List out the user id that has compliment type of photos. [/INST] | SELECT T2.user_id FROM Compliments AS T1 INNER JOIN Users_Compliments AS T2 ON T1.compliment_id = T2.compliment_id WHERE T1.compliment_type = 'photos'; |
[INST] Here is a database schema:
Attributes :
attribute_id [ INTEGER ] primary_key
attribute_name [ TEXT ]
Categories :
category_id [ INTEGER ] primary_key
category_name [ TEXT ]
Compliments :
compliment_id [ INTEGER ] primary_key
compliment_type [ TEXT ]
Days :
day_id [ INTEGER ] primary_key
day_of_week [ TEXT ]
Years :
year_id [ INTEGER ] primary_key
actual_year [ INTEGER ]
Business_Attributes :
attribute_id [ INTEGER ]
business_id [ INTEGER ]
attribute_value [ TEXT ]
Business_Categories :
business_id [ INTEGER ]
category_id [ INTEGER ]
Business_Hours :
business_id [ INTEGER ]
day_id [ INTEGER ]
opening_time [ TEXT ]
closing_time [ TEXT ]
Checkins :
business_id [ INTEGER ]
day_id [ INTEGER ]
label_time_0 [ TEXT ]
label_time_1 [ TEXT ]
label_time_2 [ TEXT ]
label_time_3 [ TEXT ]
label_time_4 [ TEXT ]
label_time_5 [ TEXT ]
label_time_6 [ TEXT ]
label_time_7 [ TEXT ]
label_time_8 [ TEXT ]
label_time_9 [ TEXT ]
label_time_10 [ TEXT ]
label_time_11 [ TEXT ]
label_time_12 [ TEXT ]
label_time_13 [ TEXT ]
label_time_14 [ TEXT ]
label_time_15 [ TEXT ]
label_time_16 [ TEXT ]
label_time_17 [ TEXT ]
label_time_18 [ TEXT ]
label_time_19 [ TEXT ]
label_time_20 [ TEXT ]
label_time_21 [ TEXT ]
label_time_22 [ TEXT ]
label_time_23 [ TEXT ]
Elite :
user_id [ INTEGER ]
year_id [ INTEGER ]
Reviews :
business_id [ INTEGER ]
user_id [ INTEGER ]
review_stars [ INTEGER ]
review_votes_funny [ TEXT ]
review_votes_useful [ TEXT ]
review_votes_cool [ TEXT ]
review_length [ TEXT ]
Tips :
business_id [ INTEGER ]
user_id [ INTEGER ]
likes [ INTEGER ]
tip_length [ TEXT ]
Users_Compliments :
compliment_id [ INTEGER ]
user_id [ INTEGER ]
number_of_compliments [ TEXT ]
Business :
business_id [ INTEGER ] primary_key
active [ TEXT ]
city [ TEXT ]
state [ TEXT ]
stars [ REAL ]
review_count [ TEXT ]
Users :
user_id [ INTEGER ] primary_key
user_yelping_since_year [ INTEGER ]
user_average_stars [ TEXT ]
user_votes_funny [ TEXT ]
user_votes_useful [ TEXT ]
user_votes_cool [ TEXT ]
user_review_count [ TEXT ]
user_fans [ TEXT ]
Please write me a SQL statement that answers the following question: Calculate the percentage of medium tip length in the list. List out the time when users of medium tip length join Yelp. [/INST] | SELECT CAST(SUM(CASE WHEN T1.tip_length = 'Medium' THEN 1 ELSE 0 END) AS REAL) * 100 / COUNT(T1.tip_length), T2.user_yelping_since_year FROM Tips AS T1 INNER JOIN Users AS T2 ON T1.user_id = T2.user_id; |
[INST] Here is a database schema:
Attributes :
attribute_id [ INTEGER ] primary_key
attribute_name [ TEXT ]
Categories :
category_id [ INTEGER ] primary_key
category_name [ TEXT ]
Compliments :
compliment_id [ INTEGER ] primary_key
compliment_type [ TEXT ]
Days :
day_id [ INTEGER ] primary_key
day_of_week [ TEXT ]
Years :
year_id [ INTEGER ] primary_key
actual_year [ INTEGER ]
Business_Attributes :
attribute_id [ INTEGER ]
business_id [ INTEGER ]
attribute_value [ TEXT ]
Business_Categories :
business_id [ INTEGER ]
category_id [ INTEGER ]
Business_Hours :
business_id [ INTEGER ]
day_id [ INTEGER ]
opening_time [ TEXT ]
closing_time [ TEXT ]
Checkins :
business_id [ INTEGER ]
day_id [ INTEGER ]
label_time_0 [ TEXT ]
label_time_1 [ TEXT ]
label_time_2 [ TEXT ]
label_time_3 [ TEXT ]
label_time_4 [ TEXT ]
label_time_5 [ TEXT ]
label_time_6 [ TEXT ]
label_time_7 [ TEXT ]
label_time_8 [ TEXT ]
label_time_9 [ TEXT ]
label_time_10 [ TEXT ]
label_time_11 [ TEXT ]
label_time_12 [ TEXT ]
label_time_13 [ TEXT ]
label_time_14 [ TEXT ]
label_time_15 [ TEXT ]
label_time_16 [ TEXT ]
label_time_17 [ TEXT ]
label_time_18 [ TEXT ]
label_time_19 [ TEXT ]
label_time_20 [ TEXT ]
label_time_21 [ TEXT ]
label_time_22 [ TEXT ]
label_time_23 [ TEXT ]
Elite :
user_id [ INTEGER ]
year_id [ INTEGER ]
Reviews :
business_id [ INTEGER ]
user_id [ INTEGER ]
review_stars [ INTEGER ]
review_votes_funny [ TEXT ]
review_votes_useful [ TEXT ]
review_votes_cool [ TEXT ]
review_length [ TEXT ]
Tips :
business_id [ INTEGER ]
user_id [ INTEGER ]
likes [ INTEGER ]
tip_length [ TEXT ]
Users_Compliments :
compliment_id [ INTEGER ]
user_id [ INTEGER ]
number_of_compliments [ TEXT ]
Business :
business_id [ INTEGER ] primary_key
active [ TEXT ]
city [ TEXT ]
state [ TEXT ]
stars [ REAL ]
review_count [ TEXT ]
Users :
user_id [ INTEGER ] primary_key
user_yelping_since_year [ INTEGER ]
user_average_stars [ TEXT ]
user_votes_funny [ TEXT ]
user_votes_useful [ TEXT ]
user_votes_cool [ TEXT ]
user_review_count [ TEXT ]
user_fans [ TEXT ]
Please write me a SQL statement that answers the following question: Calculate the percentage of businesses who located in Mesa. What is attribute value of these businesses. [/INST] | SELECT CAST(COUNT(T1.city) AS REAL) * 100 / ( SELECT COUNT(business_id) FROM Business ), T2.attribute_value FROM Business AS T1 INNER JOIN Business_Attributes AS T2 ON T1.business_id = T2.business_id WHERE T1.city = 'Mesa'; |
[INST] Here is a database schema:
Attributes :
attribute_id [ INTEGER ] primary_key
attribute_name [ TEXT ]
Categories :
category_id [ INTEGER ] primary_key
category_name [ TEXT ]
Compliments :
compliment_id [ INTEGER ] primary_key
compliment_type [ TEXT ]
Days :
day_id [ INTEGER ] primary_key
day_of_week [ TEXT ]
Years :
year_id [ INTEGER ] primary_key
actual_year [ INTEGER ]
Business_Attributes :
attribute_id [ INTEGER ]
business_id [ INTEGER ]
attribute_value [ TEXT ]
Business_Categories :
business_id [ INTEGER ]
category_id [ INTEGER ]
Business_Hours :
business_id [ INTEGER ]
day_id [ INTEGER ]
opening_time [ TEXT ]
closing_time [ TEXT ]
Checkins :
business_id [ INTEGER ]
day_id [ INTEGER ]
label_time_0 [ TEXT ]
label_time_1 [ TEXT ]
label_time_2 [ TEXT ]
label_time_3 [ TEXT ]
label_time_4 [ TEXT ]
label_time_5 [ TEXT ]
label_time_6 [ TEXT ]
label_time_7 [ TEXT ]
label_time_8 [ TEXT ]
label_time_9 [ TEXT ]
label_time_10 [ TEXT ]
label_time_11 [ TEXT ]
label_time_12 [ TEXT ]
label_time_13 [ TEXT ]
label_time_14 [ TEXT ]
label_time_15 [ TEXT ]
label_time_16 [ TEXT ]
label_time_17 [ TEXT ]
label_time_18 [ TEXT ]
label_time_19 [ TEXT ]
label_time_20 [ TEXT ]
label_time_21 [ TEXT ]
label_time_22 [ TEXT ]
label_time_23 [ TEXT ]
Elite :
user_id [ INTEGER ]
year_id [ INTEGER ]
Reviews :
business_id [ INTEGER ]
user_id [ INTEGER ]
review_stars [ INTEGER ]
review_votes_funny [ TEXT ]
review_votes_useful [ TEXT ]
review_votes_cool [ TEXT ]
review_length [ TEXT ]
Tips :
business_id [ INTEGER ]
user_id [ INTEGER ]
likes [ INTEGER ]
tip_length [ TEXT ]
Users_Compliments :
compliment_id [ INTEGER ]
user_id [ INTEGER ]
number_of_compliments [ TEXT ]
Business :
business_id [ INTEGER ] primary_key
active [ TEXT ]
city [ TEXT ]
state [ TEXT ]
stars [ REAL ]
review_count [ TEXT ]
Users :
user_id [ INTEGER ] primary_key
user_yelping_since_year [ INTEGER ]
user_average_stars [ TEXT ]
user_votes_funny [ TEXT ]
user_votes_useful [ TEXT ]
user_votes_cool [ TEXT ]
user_review_count [ TEXT ]
user_fans [ TEXT ]
Please write me a SQL statement that answers the following question: State the state of businesses which have closing time at 12AM. [/INST] | SELECT DISTINCT T1.state FROM Business AS T1 INNER JOIN Business_Hours AS T2 ON T1.business_id = T2.business_id WHERE T2.closing_time = '12AM'; |
[INST] Here is a database schema:
Attributes :
attribute_id [ INTEGER ] primary_key
attribute_name [ TEXT ]
Categories :
category_id [ INTEGER ] primary_key
category_name [ TEXT ]
Compliments :
compliment_id [ INTEGER ] primary_key
compliment_type [ TEXT ]
Days :
day_id [ INTEGER ] primary_key
day_of_week [ TEXT ]
Years :
year_id [ INTEGER ] primary_key
actual_year [ INTEGER ]
Business_Attributes :
attribute_id [ INTEGER ]
business_id [ INTEGER ]
attribute_value [ TEXT ]
Business_Categories :
business_id [ INTEGER ]
category_id [ INTEGER ]
Business_Hours :
business_id [ INTEGER ]
day_id [ INTEGER ]
opening_time [ TEXT ]
closing_time [ TEXT ]
Checkins :
business_id [ INTEGER ]
day_id [ INTEGER ]
label_time_0 [ TEXT ]
label_time_1 [ TEXT ]
label_time_2 [ TEXT ]
label_time_3 [ TEXT ]
label_time_4 [ TEXT ]
label_time_5 [ TEXT ]
label_time_6 [ TEXT ]
label_time_7 [ TEXT ]
label_time_8 [ TEXT ]
label_time_9 [ TEXT ]
label_time_10 [ TEXT ]
label_time_11 [ TEXT ]
label_time_12 [ TEXT ]
label_time_13 [ TEXT ]
label_time_14 [ TEXT ]
label_time_15 [ TEXT ]
label_time_16 [ TEXT ]
label_time_17 [ TEXT ]
label_time_18 [ TEXT ]
label_time_19 [ TEXT ]
label_time_20 [ TEXT ]
label_time_21 [ TEXT ]
label_time_22 [ TEXT ]
label_time_23 [ TEXT ]
Elite :
user_id [ INTEGER ]
year_id [ INTEGER ]
Reviews :
business_id [ INTEGER ]
user_id [ INTEGER ]
review_stars [ INTEGER ]
review_votes_funny [ TEXT ]
review_votes_useful [ TEXT ]
review_votes_cool [ TEXT ]
review_length [ TEXT ]
Tips :
business_id [ INTEGER ]
user_id [ INTEGER ]
likes [ INTEGER ]
tip_length [ TEXT ]
Users_Compliments :
compliment_id [ INTEGER ]
user_id [ INTEGER ]
number_of_compliments [ TEXT ]
Business :
business_id [ INTEGER ] primary_key
active [ TEXT ]
city [ TEXT ]
state [ TEXT ]
stars [ REAL ]
review_count [ TEXT ]
Users :
user_id [ INTEGER ] primary_key
user_yelping_since_year [ INTEGER ]
user_average_stars [ TEXT ]
user_votes_funny [ TEXT ]
user_votes_useful [ TEXT ]
user_votes_cool [ TEXT ]
user_review_count [ TEXT ]
user_fans [ TEXT ]
Please write me a SQL statement that answers the following question: Among the businesses which have attribute of beer_and_wine, how many business located in Peoria? [/INST] | SELECT COUNT(T1.business_id) FROM Business_Attributes AS T1 INNER JOIN Business AS T2 ON T1.business_id = T2.business_id WHERE T2.city = 'Peoria' AND T1.attribute_value = 'beer_and_wine'; |
[INST] Here is a database schema:
Attributes :
attribute_id [ INTEGER ] primary_key
attribute_name [ TEXT ]
Categories :
category_id [ INTEGER ] primary_key
category_name [ TEXT ]
Compliments :
compliment_id [ INTEGER ] primary_key
compliment_type [ TEXT ]
Days :
day_id [ INTEGER ] primary_key
day_of_week [ TEXT ]
Years :
year_id [ INTEGER ] primary_key
actual_year [ INTEGER ]
Business_Attributes :
attribute_id [ INTEGER ]
business_id [ INTEGER ]
attribute_value [ TEXT ]
Business_Categories :
business_id [ INTEGER ]
category_id [ INTEGER ]
Business_Hours :
business_id [ INTEGER ]
day_id [ INTEGER ]
opening_time [ TEXT ]
closing_time [ TEXT ]
Checkins :
business_id [ INTEGER ]
day_id [ INTEGER ]
label_time_0 [ TEXT ]
label_time_1 [ TEXT ]
label_time_2 [ TEXT ]
label_time_3 [ TEXT ]
label_time_4 [ TEXT ]
label_time_5 [ TEXT ]
label_time_6 [ TEXT ]
label_time_7 [ TEXT ]
label_time_8 [ TEXT ]
label_time_9 [ TEXT ]
label_time_10 [ TEXT ]
label_time_11 [ TEXT ]
label_time_12 [ TEXT ]
label_time_13 [ TEXT ]
label_time_14 [ TEXT ]
label_time_15 [ TEXT ]
label_time_16 [ TEXT ]
label_time_17 [ TEXT ]
label_time_18 [ TEXT ]
label_time_19 [ TEXT ]
label_time_20 [ TEXT ]
label_time_21 [ TEXT ]
label_time_22 [ TEXT ]
label_time_23 [ TEXT ]
Elite :
user_id [ INTEGER ]
year_id [ INTEGER ]
Reviews :
business_id [ INTEGER ]
user_id [ INTEGER ]
review_stars [ INTEGER ]
review_votes_funny [ TEXT ]
review_votes_useful [ TEXT ]
review_votes_cool [ TEXT ]
review_length [ TEXT ]
Tips :
business_id [ INTEGER ]
user_id [ INTEGER ]
likes [ INTEGER ]
tip_length [ TEXT ]
Users_Compliments :
compliment_id [ INTEGER ]
user_id [ INTEGER ]
number_of_compliments [ TEXT ]
Business :
business_id [ INTEGER ] primary_key
active [ TEXT ]
city [ TEXT ]
state [ TEXT ]
stars [ REAL ]
review_count [ TEXT ]
Users :
user_id [ INTEGER ] primary_key
user_yelping_since_year [ INTEGER ]
user_average_stars [ TEXT ]
user_votes_funny [ TEXT ]
user_votes_useful [ TEXT ]
user_votes_cool [ TEXT ]
user_review_count [ TEXT ]
user_fans [ TEXT ]
Please write me a SQL statement that answers the following question: Among the users who received high compliments from other users, which users joined Yelp earliest? [/INST] | SELECT T2.user_id FROM Users AS T1 INNER JOIN Users_Compliments AS T2 ON T1.user_id = T2.user_id WHERE T2.number_of_compliments = 'High' AND T1.user_yelping_since_year = ( SELECT MIN(user_yelping_since_year) FROM Users ); |
[INST] Here is a database schema:
Attributes :
attribute_id [ INTEGER ] primary_key
attribute_name [ TEXT ]
Categories :
category_id [ INTEGER ] primary_key
category_name [ TEXT ]
Compliments :
compliment_id [ INTEGER ] primary_key
compliment_type [ TEXT ]
Days :
day_id [ INTEGER ] primary_key
day_of_week [ TEXT ]
Years :
year_id [ INTEGER ] primary_key
actual_year [ INTEGER ]
Business_Attributes :
attribute_id [ INTEGER ]
business_id [ INTEGER ]
attribute_value [ TEXT ]
Business_Categories :
business_id [ INTEGER ]
category_id [ INTEGER ]
Business_Hours :
business_id [ INTEGER ]
day_id [ INTEGER ]
opening_time [ TEXT ]
closing_time [ TEXT ]
Checkins :
business_id [ INTEGER ]
day_id [ INTEGER ]
label_time_0 [ TEXT ]
label_time_1 [ TEXT ]
label_time_2 [ TEXT ]
label_time_3 [ TEXT ]
label_time_4 [ TEXT ]
label_time_5 [ TEXT ]
label_time_6 [ TEXT ]
label_time_7 [ TEXT ]
label_time_8 [ TEXT ]
label_time_9 [ TEXT ]
label_time_10 [ TEXT ]
label_time_11 [ TEXT ]
label_time_12 [ TEXT ]
label_time_13 [ TEXT ]
label_time_14 [ TEXT ]
label_time_15 [ TEXT ]
label_time_16 [ TEXT ]
label_time_17 [ TEXT ]
label_time_18 [ TEXT ]
label_time_19 [ TEXT ]
label_time_20 [ TEXT ]
label_time_21 [ TEXT ]
label_time_22 [ TEXT ]
label_time_23 [ TEXT ]
Elite :
user_id [ INTEGER ]
year_id [ INTEGER ]
Reviews :
business_id [ INTEGER ]
user_id [ INTEGER ]
review_stars [ INTEGER ]
review_votes_funny [ TEXT ]
review_votes_useful [ TEXT ]
review_votes_cool [ TEXT ]
review_length [ TEXT ]
Tips :
business_id [ INTEGER ]
user_id [ INTEGER ]
likes [ INTEGER ]
tip_length [ TEXT ]
Users_Compliments :
compliment_id [ INTEGER ]
user_id [ INTEGER ]
number_of_compliments [ TEXT ]
Business :
business_id [ INTEGER ] primary_key
active [ TEXT ]
city [ TEXT ]
state [ TEXT ]
stars [ REAL ]
review_count [ TEXT ]
Users :
user_id [ INTEGER ] primary_key
user_yelping_since_year [ INTEGER ]
user_average_stars [ TEXT ]
user_votes_funny [ TEXT ]
user_votes_useful [ TEXT ]
user_votes_cool [ TEXT ]
user_review_count [ TEXT ]
user_fans [ TEXT ]
Please write me a SQL statement that answers the following question: Which business ID has the most reviews? [/INST] | SELECT business_id FROM Reviews GROUP BY business_id ORDER BY COUNT(user_id) DESC LIMIT 1; |
[INST] Here is a database schema:
Attributes :
attribute_id [ INTEGER ] primary_key
attribute_name [ TEXT ]
Categories :
category_id [ INTEGER ] primary_key
category_name [ TEXT ]
Compliments :
compliment_id [ INTEGER ] primary_key
compliment_type [ TEXT ]
Days :
day_id [ INTEGER ] primary_key
day_of_week [ TEXT ]
Years :
year_id [ INTEGER ] primary_key
actual_year [ INTEGER ]
Business_Attributes :
attribute_id [ INTEGER ]
business_id [ INTEGER ]
attribute_value [ TEXT ]
Business_Categories :
business_id [ INTEGER ]
category_id [ INTEGER ]
Business_Hours :
business_id [ INTEGER ]
day_id [ INTEGER ]
opening_time [ TEXT ]
closing_time [ TEXT ]
Checkins :
business_id [ INTEGER ]
day_id [ INTEGER ]
label_time_0 [ TEXT ]
label_time_1 [ TEXT ]
label_time_2 [ TEXT ]
label_time_3 [ TEXT ]
label_time_4 [ TEXT ]
label_time_5 [ TEXT ]
label_time_6 [ TEXT ]
label_time_7 [ TEXT ]
label_time_8 [ TEXT ]
label_time_9 [ TEXT ]
label_time_10 [ TEXT ]
label_time_11 [ TEXT ]
label_time_12 [ TEXT ]
label_time_13 [ TEXT ]
label_time_14 [ TEXT ]
label_time_15 [ TEXT ]
label_time_16 [ TEXT ]
label_time_17 [ TEXT ]
label_time_18 [ TEXT ]
label_time_19 [ TEXT ]
label_time_20 [ TEXT ]
label_time_21 [ TEXT ]
label_time_22 [ TEXT ]
label_time_23 [ TEXT ]
Elite :
user_id [ INTEGER ]
year_id [ INTEGER ]
Reviews :
business_id [ INTEGER ]
user_id [ INTEGER ]
review_stars [ INTEGER ]
review_votes_funny [ TEXT ]
review_votes_useful [ TEXT ]
review_votes_cool [ TEXT ]
review_length [ TEXT ]
Tips :
business_id [ INTEGER ]
user_id [ INTEGER ]
likes [ INTEGER ]
tip_length [ TEXT ]
Users_Compliments :
compliment_id [ INTEGER ]
user_id [ INTEGER ]
number_of_compliments [ TEXT ]
Business :
business_id [ INTEGER ] primary_key
active [ TEXT ]
city [ TEXT ]
state [ TEXT ]
stars [ REAL ]
review_count [ TEXT ]
Users :
user_id [ INTEGER ] primary_key
user_yelping_since_year [ INTEGER ]
user_average_stars [ TEXT ]
user_votes_funny [ TEXT ]
user_votes_useful [ TEXT ]
user_votes_cool [ TEXT ]
user_review_count [ TEXT ]
user_fans [ TEXT ]
Please write me a SQL statement that answers the following question: Which year has the most elite users? [/INST] | SELECT year_id FROM Elite GROUP BY year_id ORDER BY COUNT(user_id) DESC LIMIT 1; |
[INST] Here is a database schema:
Attributes :
attribute_id [ INTEGER ] primary_key
attribute_name [ TEXT ]
Categories :
category_id [ INTEGER ] primary_key
category_name [ TEXT ]
Compliments :
compliment_id [ INTEGER ] primary_key
compliment_type [ TEXT ]
Days :
day_id [ INTEGER ] primary_key
day_of_week [ TEXT ]
Years :
year_id [ INTEGER ] primary_key
actual_year [ INTEGER ]
Business_Attributes :
attribute_id [ INTEGER ]
business_id [ INTEGER ]
attribute_value [ TEXT ]
Business_Categories :
business_id [ INTEGER ]
category_id [ INTEGER ]
Business_Hours :
business_id [ INTEGER ]
day_id [ INTEGER ]
opening_time [ TEXT ]
closing_time [ TEXT ]
Checkins :
business_id [ INTEGER ]
day_id [ INTEGER ]
label_time_0 [ TEXT ]
label_time_1 [ TEXT ]
label_time_2 [ TEXT ]
label_time_3 [ TEXT ]
label_time_4 [ TEXT ]
label_time_5 [ TEXT ]
label_time_6 [ TEXT ]
label_time_7 [ TEXT ]
label_time_8 [ TEXT ]
label_time_9 [ TEXT ]
label_time_10 [ TEXT ]
label_time_11 [ TEXT ]
label_time_12 [ TEXT ]
label_time_13 [ TEXT ]
label_time_14 [ TEXT ]
label_time_15 [ TEXT ]
label_time_16 [ TEXT ]
label_time_17 [ TEXT ]
label_time_18 [ TEXT ]
label_time_19 [ TEXT ]
label_time_20 [ TEXT ]
label_time_21 [ TEXT ]
label_time_22 [ TEXT ]
label_time_23 [ TEXT ]
Elite :
user_id [ INTEGER ]
year_id [ INTEGER ]
Reviews :
business_id [ INTEGER ]
user_id [ INTEGER ]
review_stars [ INTEGER ]
review_votes_funny [ TEXT ]
review_votes_useful [ TEXT ]
review_votes_cool [ TEXT ]
review_length [ TEXT ]
Tips :
business_id [ INTEGER ]
user_id [ INTEGER ]
likes [ INTEGER ]
tip_length [ TEXT ]
Users_Compliments :
compliment_id [ INTEGER ]
user_id [ INTEGER ]
number_of_compliments [ TEXT ]
Business :
business_id [ INTEGER ] primary_key
active [ TEXT ]
city [ TEXT ]
state [ TEXT ]
stars [ REAL ]
review_count [ TEXT ]
Users :
user_id [ INTEGER ] primary_key
user_yelping_since_year [ INTEGER ]
user_average_stars [ TEXT ]
user_votes_funny [ TEXT ]
user_votes_useful [ TEXT ]
user_votes_cool [ TEXT ]
user_review_count [ TEXT ]
user_fans [ TEXT ]
Please write me a SQL statement that answers the following question: How many 5 star businesses have uber review votes for funny? [/INST] | SELECT COUNT(business_id) FROM Reviews WHERE review_stars = 5 AND review_votes_funny = 'Uber'; |
[INST] Here is a database schema:
Attributes :
attribute_id [ INTEGER ] primary_key
attribute_name [ TEXT ]
Categories :
category_id [ INTEGER ] primary_key
category_name [ TEXT ]
Compliments :
compliment_id [ INTEGER ] primary_key
compliment_type [ TEXT ]
Days :
day_id [ INTEGER ] primary_key
day_of_week [ TEXT ]
Years :
year_id [ INTEGER ] primary_key
actual_year [ INTEGER ]
Business_Attributes :
attribute_id [ INTEGER ]
business_id [ INTEGER ]
attribute_value [ TEXT ]
Business_Categories :
business_id [ INTEGER ]
category_id [ INTEGER ]
Business_Hours :
business_id [ INTEGER ]
day_id [ INTEGER ]
opening_time [ TEXT ]
closing_time [ TEXT ]
Checkins :
business_id [ INTEGER ]
day_id [ INTEGER ]
label_time_0 [ TEXT ]
label_time_1 [ TEXT ]
label_time_2 [ TEXT ]
label_time_3 [ TEXT ]
label_time_4 [ TEXT ]
label_time_5 [ TEXT ]
label_time_6 [ TEXT ]
label_time_7 [ TEXT ]
label_time_8 [ TEXT ]
label_time_9 [ TEXT ]
label_time_10 [ TEXT ]
label_time_11 [ TEXT ]
label_time_12 [ TEXT ]
label_time_13 [ TEXT ]
label_time_14 [ TEXT ]
label_time_15 [ TEXT ]
label_time_16 [ TEXT ]
label_time_17 [ TEXT ]
label_time_18 [ TEXT ]
label_time_19 [ TEXT ]
label_time_20 [ TEXT ]
label_time_21 [ TEXT ]
label_time_22 [ TEXT ]
label_time_23 [ TEXT ]
Elite :
user_id [ INTEGER ]
year_id [ INTEGER ]
Reviews :
business_id [ INTEGER ]
user_id [ INTEGER ]
review_stars [ INTEGER ]
review_votes_funny [ TEXT ]
review_votes_useful [ TEXT ]
review_votes_cool [ TEXT ]
review_length [ TEXT ]
Tips :
business_id [ INTEGER ]
user_id [ INTEGER ]
likes [ INTEGER ]
tip_length [ TEXT ]
Users_Compliments :
compliment_id [ INTEGER ]
user_id [ INTEGER ]
number_of_compliments [ TEXT ]
Business :
business_id [ INTEGER ] primary_key
active [ TEXT ]
city [ TEXT ]
state [ TEXT ]
stars [ REAL ]
review_count [ TEXT ]
Users :
user_id [ INTEGER ] primary_key
user_yelping_since_year [ INTEGER ]
user_average_stars [ TEXT ]
user_votes_funny [ TEXT ]
user_votes_useful [ TEXT ]
user_votes_cool [ TEXT ]
user_review_count [ TEXT ]
user_fans [ TEXT ]
Please write me a SQL statement that answers the following question: How many users have uber review votes for funny from the fans? [/INST] | SELECT COUNT(DISTINCT user_id) FROM Reviews WHERE review_votes_funny = 'Uber'; |
[INST] Here is a database schema:
Attributes :
attribute_id [ INTEGER ] primary_key
attribute_name [ TEXT ]
Categories :
category_id [ INTEGER ] primary_key
category_name [ TEXT ]
Compliments :
compliment_id [ INTEGER ] primary_key
compliment_type [ TEXT ]
Days :
day_id [ INTEGER ] primary_key
day_of_week [ TEXT ]
Years :
year_id [ INTEGER ] primary_key
actual_year [ INTEGER ]
Business_Attributes :
attribute_id [ INTEGER ]
business_id [ INTEGER ]
attribute_value [ TEXT ]
Business_Categories :
business_id [ INTEGER ]
category_id [ INTEGER ]
Business_Hours :
business_id [ INTEGER ]
day_id [ INTEGER ]
opening_time [ TEXT ]
closing_time [ TEXT ]
Checkins :
business_id [ INTEGER ]
day_id [ INTEGER ]
label_time_0 [ TEXT ]
label_time_1 [ TEXT ]
label_time_2 [ TEXT ]
label_time_3 [ TEXT ]
label_time_4 [ TEXT ]
label_time_5 [ TEXT ]
label_time_6 [ TEXT ]
label_time_7 [ TEXT ]
label_time_8 [ TEXT ]
label_time_9 [ TEXT ]
label_time_10 [ TEXT ]
label_time_11 [ TEXT ]
label_time_12 [ TEXT ]
label_time_13 [ TEXT ]
label_time_14 [ TEXT ]
label_time_15 [ TEXT ]
label_time_16 [ TEXT ]
label_time_17 [ TEXT ]
label_time_18 [ TEXT ]
label_time_19 [ TEXT ]
label_time_20 [ TEXT ]
label_time_21 [ TEXT ]
label_time_22 [ TEXT ]
label_time_23 [ TEXT ]
Elite :
user_id [ INTEGER ]
year_id [ INTEGER ]
Reviews :
business_id [ INTEGER ]
user_id [ INTEGER ]
review_stars [ INTEGER ]
review_votes_funny [ TEXT ]
review_votes_useful [ TEXT ]
review_votes_cool [ TEXT ]
review_length [ TEXT ]
Tips :
business_id [ INTEGER ]
user_id [ INTEGER ]
likes [ INTEGER ]
tip_length [ TEXT ]
Users_Compliments :
compliment_id [ INTEGER ]
user_id [ INTEGER ]
number_of_compliments [ TEXT ]
Business :
business_id [ INTEGER ] primary_key
active [ TEXT ]
city [ TEXT ]
state [ TEXT ]
stars [ REAL ]
review_count [ TEXT ]
Users :
user_id [ INTEGER ] primary_key
user_yelping_since_year [ INTEGER ]
user_average_stars [ TEXT ]
user_votes_funny [ TEXT ]
user_votes_useful [ TEXT ]
user_votes_cool [ TEXT ]
user_review_count [ TEXT ]
user_fans [ TEXT ]
Please write me a SQL statement that answers the following question: Which business ID have the shortest business operating hours? [/INST] | SELECT business_id FROM Business_Hours ORDER BY closing_time - opening_time LIMIT 1; |
[INST] Here is a database schema:
Attributes :
attribute_id [ INTEGER ] primary_key
attribute_name [ TEXT ]
Categories :
category_id [ INTEGER ] primary_key
category_name [ TEXT ]
Compliments :
compliment_id [ INTEGER ] primary_key
compliment_type [ TEXT ]
Days :
day_id [ INTEGER ] primary_key
day_of_week [ TEXT ]
Years :
year_id [ INTEGER ] primary_key
actual_year [ INTEGER ]
Business_Attributes :
attribute_id [ INTEGER ]
business_id [ INTEGER ]
attribute_value [ TEXT ]
Business_Categories :
business_id [ INTEGER ]
category_id [ INTEGER ]
Business_Hours :
business_id [ INTEGER ]
day_id [ INTEGER ]
opening_time [ TEXT ]
closing_time [ TEXT ]
Checkins :
business_id [ INTEGER ]
day_id [ INTEGER ]
label_time_0 [ TEXT ]
label_time_1 [ TEXT ]
label_time_2 [ TEXT ]
label_time_3 [ TEXT ]
label_time_4 [ TEXT ]
label_time_5 [ TEXT ]
label_time_6 [ TEXT ]
label_time_7 [ TEXT ]
label_time_8 [ TEXT ]
label_time_9 [ TEXT ]
label_time_10 [ TEXT ]
label_time_11 [ TEXT ]
label_time_12 [ TEXT ]
label_time_13 [ TEXT ]
label_time_14 [ TEXT ]
label_time_15 [ TEXT ]
label_time_16 [ TEXT ]
label_time_17 [ TEXT ]
label_time_18 [ TEXT ]
label_time_19 [ TEXT ]
label_time_20 [ TEXT ]
label_time_21 [ TEXT ]
label_time_22 [ TEXT ]
label_time_23 [ TEXT ]
Elite :
user_id [ INTEGER ]
year_id [ INTEGER ]
Reviews :
business_id [ INTEGER ]
user_id [ INTEGER ]
review_stars [ INTEGER ]
review_votes_funny [ TEXT ]
review_votes_useful [ TEXT ]
review_votes_cool [ TEXT ]
review_length [ TEXT ]
Tips :
business_id [ INTEGER ]
user_id [ INTEGER ]
likes [ INTEGER ]
tip_length [ TEXT ]
Users_Compliments :
compliment_id [ INTEGER ]
user_id [ INTEGER ]
number_of_compliments [ TEXT ]
Business :
business_id [ INTEGER ] primary_key
active [ TEXT ]
city [ TEXT ]
state [ TEXT ]
stars [ REAL ]
review_count [ TEXT ]
Users :
user_id [ INTEGER ] primary_key
user_yelping_since_year [ INTEGER ]
user_average_stars [ TEXT ]
user_votes_funny [ TEXT ]
user_votes_useful [ TEXT ]
user_votes_cool [ TEXT ]
user_review_count [ TEXT ]
user_fans [ TEXT ]
Please write me a SQL statement that answers the following question: Find out which business ID are opened all the time. [/INST] | SELECT DISTINCT business_id FROM Business_Hours WHERE day_id >= 1 AND day_id < 8 AND opening_time = closing_time; |
[INST] Here is a database schema:
Attributes :
attribute_id [ INTEGER ] primary_key
attribute_name [ TEXT ]
Categories :
category_id [ INTEGER ] primary_key
category_name [ TEXT ]
Compliments :
compliment_id [ INTEGER ] primary_key
compliment_type [ TEXT ]
Days :
day_id [ INTEGER ] primary_key
day_of_week [ TEXT ]
Years :
year_id [ INTEGER ] primary_key
actual_year [ INTEGER ]
Business_Attributes :
attribute_id [ INTEGER ]
business_id [ INTEGER ]
attribute_value [ TEXT ]
Business_Categories :
business_id [ INTEGER ]
category_id [ INTEGER ]
Business_Hours :
business_id [ INTEGER ]
day_id [ INTEGER ]
opening_time [ TEXT ]
closing_time [ TEXT ]
Checkins :
business_id [ INTEGER ]
day_id [ INTEGER ]
label_time_0 [ TEXT ]
label_time_1 [ TEXT ]
label_time_2 [ TEXT ]
label_time_3 [ TEXT ]
label_time_4 [ TEXT ]
label_time_5 [ TEXT ]
label_time_6 [ TEXT ]
label_time_7 [ TEXT ]
label_time_8 [ TEXT ]
label_time_9 [ TEXT ]
label_time_10 [ TEXT ]
label_time_11 [ TEXT ]
label_time_12 [ TEXT ]
label_time_13 [ TEXT ]
label_time_14 [ TEXT ]
label_time_15 [ TEXT ]
label_time_16 [ TEXT ]
label_time_17 [ TEXT ]
label_time_18 [ TEXT ]
label_time_19 [ TEXT ]
label_time_20 [ TEXT ]
label_time_21 [ TEXT ]
label_time_22 [ TEXT ]
label_time_23 [ TEXT ]
Elite :
user_id [ INTEGER ]
year_id [ INTEGER ]
Reviews :
business_id [ INTEGER ]
user_id [ INTEGER ]
review_stars [ INTEGER ]
review_votes_funny [ TEXT ]
review_votes_useful [ TEXT ]
review_votes_cool [ TEXT ]
review_length [ TEXT ]
Tips :
business_id [ INTEGER ]
user_id [ INTEGER ]
likes [ INTEGER ]
tip_length [ TEXT ]
Users_Compliments :
compliment_id [ INTEGER ]
user_id [ INTEGER ]
number_of_compliments [ TEXT ]
Business :
business_id [ INTEGER ] primary_key
active [ TEXT ]
city [ TEXT ]
state [ TEXT ]
stars [ REAL ]
review_count [ TEXT ]
Users :
user_id [ INTEGER ] primary_key
user_yelping_since_year [ INTEGER ]
user_average_stars [ TEXT ]
user_votes_funny [ TEXT ]
user_votes_useful [ TEXT ]
user_votes_cool [ TEXT ]
user_review_count [ TEXT ]
user_fans [ TEXT ]
Please write me a SQL statement that answers the following question: Does the length of the tip influence the number of likes for hotel and travel business category? [/INST] | SELECT T3.tip_length, SUM(T3.likes) AS likes FROM Categories AS T1 INNER JOIN Business_Categories AS T2 ON T1.category_id = T2.category_id INNER JOIN Tips AS T3 ON T2.business_id = T3.business_id WHERE T1.category_name = 'Hotels & Travel' GROUP BY T3.tip_length; |
[INST] Here is a database schema:
Attributes :
attribute_id [ INTEGER ] primary_key
attribute_name [ TEXT ]
Categories :
category_id [ INTEGER ] primary_key
category_name [ TEXT ]
Compliments :
compliment_id [ INTEGER ] primary_key
compliment_type [ TEXT ]
Days :
day_id [ INTEGER ] primary_key
day_of_week [ TEXT ]
Years :
year_id [ INTEGER ] primary_key
actual_year [ INTEGER ]
Business_Attributes :
attribute_id [ INTEGER ]
business_id [ INTEGER ]
attribute_value [ TEXT ]
Business_Categories :
business_id [ INTEGER ]
category_id [ INTEGER ]
Business_Hours :
business_id [ INTEGER ]
day_id [ INTEGER ]
opening_time [ TEXT ]
closing_time [ TEXT ]
Checkins :
business_id [ INTEGER ]
day_id [ INTEGER ]
label_time_0 [ TEXT ]
label_time_1 [ TEXT ]
label_time_2 [ TEXT ]
label_time_3 [ TEXT ]
label_time_4 [ TEXT ]
label_time_5 [ TEXT ]
label_time_6 [ TEXT ]
label_time_7 [ TEXT ]
label_time_8 [ TEXT ]
label_time_9 [ TEXT ]
label_time_10 [ TEXT ]
label_time_11 [ TEXT ]
label_time_12 [ TEXT ]
label_time_13 [ TEXT ]
label_time_14 [ TEXT ]
label_time_15 [ TEXT ]
label_time_16 [ TEXT ]
label_time_17 [ TEXT ]
label_time_18 [ TEXT ]
label_time_19 [ TEXT ]
label_time_20 [ TEXT ]
label_time_21 [ TEXT ]
label_time_22 [ TEXT ]
label_time_23 [ TEXT ]
Elite :
user_id [ INTEGER ]
year_id [ INTEGER ]
Reviews :
business_id [ INTEGER ]
user_id [ INTEGER ]
review_stars [ INTEGER ]
review_votes_funny [ TEXT ]
review_votes_useful [ TEXT ]
review_votes_cool [ TEXT ]
review_length [ TEXT ]
Tips :
business_id [ INTEGER ]
user_id [ INTEGER ]
likes [ INTEGER ]
tip_length [ TEXT ]
Users_Compliments :
compliment_id [ INTEGER ]
user_id [ INTEGER ]
number_of_compliments [ TEXT ]
Business :
business_id [ INTEGER ] primary_key
active [ TEXT ]
city [ TEXT ]
state [ TEXT ]
stars [ REAL ]
review_count [ TEXT ]
Users :
user_id [ INTEGER ] primary_key
user_yelping_since_year [ INTEGER ]
user_average_stars [ TEXT ]
user_votes_funny [ TEXT ]
user_votes_useful [ TEXT ]
user_votes_cool [ TEXT ]
user_review_count [ TEXT ]
user_fans [ TEXT ]
Please write me a SQL statement that answers the following question: How many users manage to get uber votes for all of the review category? Find out what are the user average star. [/INST] | SELECT COUNT(T2.user_id) AS USER_IDS, T2.user_average_stars FROM Reviews AS T1 INNER JOIN Users AS T2 ON T1.user_id = T2.user_id WHERE T1.review_votes_funny = 'Uber' AND T1.review_votes_useful = 'Uber' AND T1.review_votes_cool = 'Uber'; |
[INST] Here is a database schema:
Attributes :
attribute_id [ INTEGER ] primary_key
attribute_name [ TEXT ]
Categories :
category_id [ INTEGER ] primary_key
category_name [ TEXT ]
Compliments :
compliment_id [ INTEGER ] primary_key
compliment_type [ TEXT ]
Days :
day_id [ INTEGER ] primary_key
day_of_week [ TEXT ]
Years :
year_id [ INTEGER ] primary_key
actual_year [ INTEGER ]
Business_Attributes :
attribute_id [ INTEGER ]
business_id [ INTEGER ]
attribute_value [ TEXT ]
Business_Categories :
business_id [ INTEGER ]
category_id [ INTEGER ]
Business_Hours :
business_id [ INTEGER ]
day_id [ INTEGER ]
opening_time [ TEXT ]
closing_time [ TEXT ]
Checkins :
business_id [ INTEGER ]
day_id [ INTEGER ]
label_time_0 [ TEXT ]
label_time_1 [ TEXT ]
label_time_2 [ TEXT ]
label_time_3 [ TEXT ]
label_time_4 [ TEXT ]
label_time_5 [ TEXT ]
label_time_6 [ TEXT ]
label_time_7 [ TEXT ]
label_time_8 [ TEXT ]
label_time_9 [ TEXT ]
label_time_10 [ TEXT ]
label_time_11 [ TEXT ]
label_time_12 [ TEXT ]
label_time_13 [ TEXT ]
label_time_14 [ TEXT ]
label_time_15 [ TEXT ]
label_time_16 [ TEXT ]
label_time_17 [ TEXT ]
label_time_18 [ TEXT ]
label_time_19 [ TEXT ]
label_time_20 [ TEXT ]
label_time_21 [ TEXT ]
label_time_22 [ TEXT ]
label_time_23 [ TEXT ]
Elite :
user_id [ INTEGER ]
year_id [ INTEGER ]
Reviews :
business_id [ INTEGER ]
user_id [ INTEGER ]
review_stars [ INTEGER ]
review_votes_funny [ TEXT ]
review_votes_useful [ TEXT ]
review_votes_cool [ TEXT ]
review_length [ TEXT ]
Tips :
business_id [ INTEGER ]
user_id [ INTEGER ]
likes [ INTEGER ]
tip_length [ TEXT ]
Users_Compliments :
compliment_id [ INTEGER ]
user_id [ INTEGER ]
number_of_compliments [ TEXT ]
Business :
business_id [ INTEGER ] primary_key
active [ TEXT ]
city [ TEXT ]
state [ TEXT ]
stars [ REAL ]
review_count [ TEXT ]
Users :
user_id [ INTEGER ] primary_key
user_yelping_since_year [ INTEGER ]
user_average_stars [ TEXT ]
user_votes_funny [ TEXT ]
user_votes_useful [ TEXT ]
user_votes_cool [ TEXT ]
user_review_count [ TEXT ]
user_fans [ TEXT ]
Please write me a SQL statement that answers the following question: What is the ratio of good to bad business star for a businesses that are opened all the time? [/INST] | SELECT CAST(SUM(CASE WHEN T1.stars BETWEEN 3.5 AND 5 THEN 1 ELSE 0 END) AS REAL) / SUM(CASE WHEN T1.stars BETWEEN 1 AND 2.5 THEN 1 ELSE 0 END) AS ratio FROM Business AS T1 INNER JOIN Business_Hours AS T2 ON T1.business_id = T2.business_id; |
[INST] Here is a database schema:
Attributes :
attribute_id [ INTEGER ] primary_key
attribute_name [ TEXT ]
Categories :
category_id [ INTEGER ] primary_key
category_name [ TEXT ]
Compliments :
compliment_id [ INTEGER ] primary_key
compliment_type [ TEXT ]
Days :
day_id [ INTEGER ] primary_key
day_of_week [ TEXT ]
Years :
year_id [ INTEGER ] primary_key
actual_year [ INTEGER ]
Business_Attributes :
attribute_id [ INTEGER ]
business_id [ INTEGER ]
attribute_value [ TEXT ]
Business_Categories :
business_id [ INTEGER ]
category_id [ INTEGER ]
Business_Hours :
business_id [ INTEGER ]
day_id [ INTEGER ]
opening_time [ TEXT ]
closing_time [ TEXT ]
Checkins :
business_id [ INTEGER ]
day_id [ INTEGER ]
label_time_0 [ TEXT ]
label_time_1 [ TEXT ]
label_time_2 [ TEXT ]
label_time_3 [ TEXT ]
label_time_4 [ TEXT ]
label_time_5 [ TEXT ]
label_time_6 [ TEXT ]
label_time_7 [ TEXT ]
label_time_8 [ TEXT ]
label_time_9 [ TEXT ]
label_time_10 [ TEXT ]
label_time_11 [ TEXT ]
label_time_12 [ TEXT ]
label_time_13 [ TEXT ]
label_time_14 [ TEXT ]
label_time_15 [ TEXT ]
label_time_16 [ TEXT ]
label_time_17 [ TEXT ]
label_time_18 [ TEXT ]
label_time_19 [ TEXT ]
label_time_20 [ TEXT ]
label_time_21 [ TEXT ]
label_time_22 [ TEXT ]
label_time_23 [ TEXT ]
Elite :
user_id [ INTEGER ]
year_id [ INTEGER ]
Reviews :
business_id [ INTEGER ]
user_id [ INTEGER ]
review_stars [ INTEGER ]
review_votes_funny [ TEXT ]
review_votes_useful [ TEXT ]
review_votes_cool [ TEXT ]
review_length [ TEXT ]
Tips :
business_id [ INTEGER ]
user_id [ INTEGER ]
likes [ INTEGER ]
tip_length [ TEXT ]
Users_Compliments :
compliment_id [ INTEGER ]
user_id [ INTEGER ]
number_of_compliments [ TEXT ]
Business :
business_id [ INTEGER ] primary_key
active [ TEXT ]
city [ TEXT ]
state [ TEXT ]
stars [ REAL ]
review_count [ TEXT ]
Users :
user_id [ INTEGER ] primary_key
user_yelping_since_year [ INTEGER ]
user_average_stars [ TEXT ]
user_votes_funny [ TEXT ]
user_votes_useful [ TEXT ]
user_votes_cool [ TEXT ]
user_review_count [ TEXT ]
user_fans [ TEXT ]
Please write me a SQL statement that answers the following question: List out 10 business ID that are being reviewed the most by users and list out what are top 3 business categories. [/INST] | SELECT T2.business_id, T3.category_name FROM Reviews AS T1 INNER JOIN Business_categories AS T2 ON T1.business_id = T2.business_id INNER JOIN Categories AS T3 ON T2.category_id = T3.category_id GROUP BY T2.business_id ORDER BY COUNT(T1.user_id) DESC LIMIT 10; |
[INST] Here is a database schema:
Attributes :
attribute_id [ INTEGER ] primary_key
attribute_name [ TEXT ]
Categories :
category_id [ INTEGER ] primary_key
category_name [ TEXT ]
Compliments :
compliment_id [ INTEGER ] primary_key
compliment_type [ TEXT ]
Days :
day_id [ INTEGER ] primary_key
day_of_week [ TEXT ]
Years :
year_id [ INTEGER ] primary_key
actual_year [ INTEGER ]
Business_Attributes :
attribute_id [ INTEGER ]
business_id [ INTEGER ]
attribute_value [ TEXT ]
Business_Categories :
business_id [ INTEGER ]
category_id [ INTEGER ]
Business_Hours :
business_id [ INTEGER ]
day_id [ INTEGER ]
opening_time [ TEXT ]
closing_time [ TEXT ]
Checkins :
business_id [ INTEGER ]
day_id [ INTEGER ]
label_time_0 [ TEXT ]
label_time_1 [ TEXT ]
label_time_2 [ TEXT ]
label_time_3 [ TEXT ]
label_time_4 [ TEXT ]
label_time_5 [ TEXT ]
label_time_6 [ TEXT ]
label_time_7 [ TEXT ]
label_time_8 [ TEXT ]
label_time_9 [ TEXT ]
label_time_10 [ TEXT ]
label_time_11 [ TEXT ]
label_time_12 [ TEXT ]
label_time_13 [ TEXT ]
label_time_14 [ TEXT ]
label_time_15 [ TEXT ]
label_time_16 [ TEXT ]
label_time_17 [ TEXT ]
label_time_18 [ TEXT ]
label_time_19 [ TEXT ]
label_time_20 [ TEXT ]
label_time_21 [ TEXT ]
label_time_22 [ TEXT ]
label_time_23 [ TEXT ]
Elite :
user_id [ INTEGER ]
year_id [ INTEGER ]
Reviews :
business_id [ INTEGER ]
user_id [ INTEGER ]
review_stars [ INTEGER ]
review_votes_funny [ TEXT ]
review_votes_useful [ TEXT ]
review_votes_cool [ TEXT ]
review_length [ TEXT ]
Tips :
business_id [ INTEGER ]
user_id [ INTEGER ]
likes [ INTEGER ]
tip_length [ TEXT ]
Users_Compliments :
compliment_id [ INTEGER ]
user_id [ INTEGER ]
number_of_compliments [ TEXT ]
Business :
business_id [ INTEGER ] primary_key
active [ TEXT ]
city [ TEXT ]
state [ TEXT ]
stars [ REAL ]
review_count [ TEXT ]
Users :
user_id [ INTEGER ] primary_key
user_yelping_since_year [ INTEGER ]
user_average_stars [ TEXT ]
user_votes_funny [ TEXT ]
user_votes_useful [ TEXT ]
user_votes_cool [ TEXT ]
user_review_count [ TEXT ]
user_fans [ TEXT ]
Please write me a SQL statement that answers the following question: How many businesses in Arizona having an average review less than 3 stars? [/INST] | SELECT COUNT(business_id) FROM Business WHERE business_id IN ( SELECT DISTINCT T1.business_id FROM Business AS T1 INNER JOIN Reviews AS T2 ON T1.business_id = T2.business_id WHERE T1.state = 'AZ' GROUP BY T1.business_id HAVING SUM(T2.review_stars) / COUNT(T2.user_id) < 3 ); |
[INST] Here is a database schema:
Attributes :
attribute_id [ INTEGER ] primary_key
attribute_name [ TEXT ]
Categories :
category_id [ INTEGER ] primary_key
category_name [ TEXT ]
Compliments :
compliment_id [ INTEGER ] primary_key
compliment_type [ TEXT ]
Days :
day_id [ INTEGER ] primary_key
day_of_week [ TEXT ]
Years :
year_id [ INTEGER ] primary_key
actual_year [ INTEGER ]
Business_Attributes :
attribute_id [ INTEGER ]
business_id [ INTEGER ]
attribute_value [ TEXT ]
Business_Categories :
business_id [ INTEGER ]
category_id [ INTEGER ]
Business_Hours :
business_id [ INTEGER ]
day_id [ INTEGER ]
opening_time [ TEXT ]
closing_time [ TEXT ]
Checkins :
business_id [ INTEGER ]
day_id [ INTEGER ]
label_time_0 [ TEXT ]
label_time_1 [ TEXT ]
label_time_2 [ TEXT ]
label_time_3 [ TEXT ]
label_time_4 [ TEXT ]
label_time_5 [ TEXT ]
label_time_6 [ TEXT ]
label_time_7 [ TEXT ]
label_time_8 [ TEXT ]
label_time_9 [ TEXT ]
label_time_10 [ TEXT ]
label_time_11 [ TEXT ]
label_time_12 [ TEXT ]
label_time_13 [ TEXT ]
label_time_14 [ TEXT ]
label_time_15 [ TEXT ]
label_time_16 [ TEXT ]
label_time_17 [ TEXT ]
label_time_18 [ TEXT ]
label_time_19 [ TEXT ]
label_time_20 [ TEXT ]
label_time_21 [ TEXT ]
label_time_22 [ TEXT ]
label_time_23 [ TEXT ]
Elite :
user_id [ INTEGER ]
year_id [ INTEGER ]
Reviews :
business_id [ INTEGER ]
user_id [ INTEGER ]
review_stars [ INTEGER ]
review_votes_funny [ TEXT ]
review_votes_useful [ TEXT ]
review_votes_cool [ TEXT ]
review_length [ TEXT ]
Tips :
business_id [ INTEGER ]
user_id [ INTEGER ]
likes [ INTEGER ]
tip_length [ TEXT ]
Users_Compliments :
compliment_id [ INTEGER ]
user_id [ INTEGER ]
number_of_compliments [ TEXT ]
Business :
business_id [ INTEGER ] primary_key
active [ TEXT ]
city [ TEXT ]
state [ TEXT ]
stars [ REAL ]
review_count [ TEXT ]
Users :
user_id [ INTEGER ] primary_key
user_yelping_since_year [ INTEGER ]
user_average_stars [ TEXT ]
user_votes_funny [ TEXT ]
user_votes_useful [ TEXT ]
user_votes_cool [ TEXT ]
user_review_count [ TEXT ]
user_fans [ TEXT ]
Please write me a SQL statement that answers the following question: What is the percentage of user not becoming an elite user? [/INST] | SELECT CAST((( SELECT COUNT(user_id) FROM Users ) - ( SELECT COUNT(DISTINCT user_id) FROM Elite )) AS REAL) * 100 / ( SELECT COUNT(user_id) FROM Users ); |
[INST] Here is a database schema:
Attributes :
attribute_id [ INTEGER ] primary_key
attribute_name [ TEXT ]
Categories :
category_id [ INTEGER ] primary_key
category_name [ TEXT ]
Compliments :
compliment_id [ INTEGER ] primary_key
compliment_type [ TEXT ]
Days :
day_id [ INTEGER ] primary_key
day_of_week [ TEXT ]
Years :
year_id [ INTEGER ] primary_key
actual_year [ INTEGER ]
Business_Attributes :
attribute_id [ INTEGER ]
business_id [ INTEGER ]
attribute_value [ TEXT ]
Business_Categories :
business_id [ INTEGER ]
category_id [ INTEGER ]
Business_Hours :
business_id [ INTEGER ]
day_id [ INTEGER ]
opening_time [ TEXT ]
closing_time [ TEXT ]
Checkins :
business_id [ INTEGER ]
day_id [ INTEGER ]
label_time_0 [ TEXT ]
label_time_1 [ TEXT ]
label_time_2 [ TEXT ]
label_time_3 [ TEXT ]
label_time_4 [ TEXT ]
label_time_5 [ TEXT ]
label_time_6 [ TEXT ]
label_time_7 [ TEXT ]
label_time_8 [ TEXT ]
label_time_9 [ TEXT ]
label_time_10 [ TEXT ]
label_time_11 [ TEXT ]
label_time_12 [ TEXT ]
label_time_13 [ TEXT ]
label_time_14 [ TEXT ]
label_time_15 [ TEXT ]
label_time_16 [ TEXT ]
label_time_17 [ TEXT ]
label_time_18 [ TEXT ]
label_time_19 [ TEXT ]
label_time_20 [ TEXT ]
label_time_21 [ TEXT ]
label_time_22 [ TEXT ]
label_time_23 [ TEXT ]
Elite :
user_id [ INTEGER ]
year_id [ INTEGER ]
Reviews :
business_id [ INTEGER ]
user_id [ INTEGER ]
review_stars [ INTEGER ]
review_votes_funny [ TEXT ]
review_votes_useful [ TEXT ]
review_votes_cool [ TEXT ]
review_length [ TEXT ]
Tips :
business_id [ INTEGER ]
user_id [ INTEGER ]
likes [ INTEGER ]
tip_length [ TEXT ]
Users_Compliments :
compliment_id [ INTEGER ]
user_id [ INTEGER ]
number_of_compliments [ TEXT ]
Business :
business_id [ INTEGER ] primary_key
active [ TEXT ]
city [ TEXT ]
state [ TEXT ]
stars [ REAL ]
review_count [ TEXT ]
Users :
user_id [ INTEGER ] primary_key
user_yelping_since_year [ INTEGER ]
user_average_stars [ TEXT ]
user_votes_funny [ TEXT ]
user_votes_useful [ TEXT ]
user_votes_cool [ TEXT ]
user_review_count [ TEXT ]
user_fans [ TEXT ]
Please write me a SQL statement that answers the following question: What are the most common compliments types received by user with uber number of fans? [/INST] | SELECT DISTINCT T3.compliment_type FROM Users AS T1 INNER JOIN Users_Compliments AS T2 ON T1.user_id = T2.user_id INNER JOIN Compliments AS T3 ON T2.compliment_id = T3.compliment_id WHERE T1.user_fans = 'Uber'; |
[INST] Here is a database schema:
Attributes :
attribute_id [ INTEGER ] primary_key
attribute_name [ TEXT ]
Categories :
category_id [ INTEGER ] primary_key
category_name [ TEXT ]
Compliments :
compliment_id [ INTEGER ] primary_key
compliment_type [ TEXT ]
Days :
day_id [ INTEGER ] primary_key
day_of_week [ TEXT ]
Years :
year_id [ INTEGER ] primary_key
actual_year [ INTEGER ]
Business_Attributes :
attribute_id [ INTEGER ]
business_id [ INTEGER ]
attribute_value [ TEXT ]
Business_Categories :
business_id [ INTEGER ]
category_id [ INTEGER ]
Business_Hours :
business_id [ INTEGER ]
day_id [ INTEGER ]
opening_time [ TEXT ]
closing_time [ TEXT ]
Checkins :
business_id [ INTEGER ]
day_id [ INTEGER ]
label_time_0 [ TEXT ]
label_time_1 [ TEXT ]
label_time_2 [ TEXT ]
label_time_3 [ TEXT ]
label_time_4 [ TEXT ]
label_time_5 [ TEXT ]
label_time_6 [ TEXT ]
label_time_7 [ TEXT ]
label_time_8 [ TEXT ]
label_time_9 [ TEXT ]
label_time_10 [ TEXT ]
label_time_11 [ TEXT ]
label_time_12 [ TEXT ]
label_time_13 [ TEXT ]
label_time_14 [ TEXT ]
label_time_15 [ TEXT ]
label_time_16 [ TEXT ]
label_time_17 [ TEXT ]
label_time_18 [ TEXT ]
label_time_19 [ TEXT ]
label_time_20 [ TEXT ]
label_time_21 [ TEXT ]
label_time_22 [ TEXT ]
label_time_23 [ TEXT ]
Elite :
user_id [ INTEGER ]
year_id [ INTEGER ]
Reviews :
business_id [ INTEGER ]
user_id [ INTEGER ]
review_stars [ INTEGER ]
review_votes_funny [ TEXT ]
review_votes_useful [ TEXT ]
review_votes_cool [ TEXT ]
review_length [ TEXT ]
Tips :
business_id [ INTEGER ]
user_id [ INTEGER ]
likes [ INTEGER ]
tip_length [ TEXT ]
Users_Compliments :
compliment_id [ INTEGER ]
user_id [ INTEGER ]
number_of_compliments [ TEXT ]
Business :
business_id [ INTEGER ] primary_key
active [ TEXT ]
city [ TEXT ]
state [ TEXT ]
stars [ REAL ]
review_count [ TEXT ]
Users :
user_id [ INTEGER ] primary_key
user_yelping_since_year [ INTEGER ]
user_average_stars [ TEXT ]
user_votes_funny [ TEXT ]
user_votes_useful [ TEXT ]
user_votes_cool [ TEXT ]
user_review_count [ TEXT ]
user_fans [ TEXT ]
Please write me a SQL statement that answers the following question: What is the average year needed by a user with uber fans to become an elite user? [/INST] | SELECT CAST(SUM(T2.year_id - T1.user_yelping_since_year) AS REAL) / COUNT(T1.user_id) FROM Users AS T1 INNER JOIN Elite AS T2 ON T1.user_id = T2.user_id WHERE T1.user_fans = 'Uber'; |
[INST] Here is a database schema:
Attributes :
attribute_id [ INTEGER ] primary_key
attribute_name [ TEXT ]
Categories :
category_id [ INTEGER ] primary_key
category_name [ TEXT ]
Compliments :
compliment_id [ INTEGER ] primary_key
compliment_type [ TEXT ]
Days :
day_id [ INTEGER ] primary_key
day_of_week [ TEXT ]
Years :
year_id [ INTEGER ] primary_key
actual_year [ INTEGER ]
Business_Attributes :
attribute_id [ INTEGER ]
business_id [ INTEGER ]
attribute_value [ TEXT ]
Business_Categories :
business_id [ INTEGER ]
category_id [ INTEGER ]
Business_Hours :
business_id [ INTEGER ]
day_id [ INTEGER ]
opening_time [ TEXT ]
closing_time [ TEXT ]
Checkins :
business_id [ INTEGER ]
day_id [ INTEGER ]
label_time_0 [ TEXT ]
label_time_1 [ TEXT ]
label_time_2 [ TEXT ]
label_time_3 [ TEXT ]
label_time_4 [ TEXT ]
label_time_5 [ TEXT ]
label_time_6 [ TEXT ]
label_time_7 [ TEXT ]
label_time_8 [ TEXT ]
label_time_9 [ TEXT ]
label_time_10 [ TEXT ]
label_time_11 [ TEXT ]
label_time_12 [ TEXT ]
label_time_13 [ TEXT ]
label_time_14 [ TEXT ]
label_time_15 [ TEXT ]
label_time_16 [ TEXT ]
label_time_17 [ TEXT ]
label_time_18 [ TEXT ]
label_time_19 [ TEXT ]
label_time_20 [ TEXT ]
label_time_21 [ TEXT ]
label_time_22 [ TEXT ]
label_time_23 [ TEXT ]
Elite :
user_id [ INTEGER ]
year_id [ INTEGER ]
Reviews :
business_id [ INTEGER ]
user_id [ INTEGER ]
review_stars [ INTEGER ]
review_votes_funny [ TEXT ]
review_votes_useful [ TEXT ]
review_votes_cool [ TEXT ]
review_length [ TEXT ]
Tips :
business_id [ INTEGER ]
user_id [ INTEGER ]
likes [ INTEGER ]
tip_length [ TEXT ]
Users_Compliments :
compliment_id [ INTEGER ]
user_id [ INTEGER ]
number_of_compliments [ TEXT ]
Business :
business_id [ INTEGER ] primary_key
active [ TEXT ]
city [ TEXT ]
state [ TEXT ]
stars [ REAL ]
review_count [ TEXT ]
Users :
user_id [ INTEGER ] primary_key
user_yelping_since_year [ INTEGER ]
user_average_stars [ TEXT ]
user_votes_funny [ TEXT ]
user_votes_useful [ TEXT ]
user_votes_cool [ TEXT ]
user_review_count [ TEXT ]
user_fans [ TEXT ]
Please write me a SQL statement that answers the following question: What is the average year for a user to be upgraded to elite user? [/INST] | SELECT CAST(SUM(T2.year_id - T1.user_yelping_since_year) AS REAL) / COUNT(T1.user_id) FROM Users AS T1 INNER JOIN Elite AS T2 ON T1.user_id = T2.user_id; |
[INST] Here is a database schema:
Attributes :
attribute_id [ INTEGER ] primary_key
attribute_name [ TEXT ]
Categories :
category_id [ INTEGER ] primary_key
category_name [ TEXT ]
Compliments :
compliment_id [ INTEGER ] primary_key
compliment_type [ TEXT ]
Days :
day_id [ INTEGER ] primary_key
day_of_week [ TEXT ]
Years :
year_id [ INTEGER ] primary_key
actual_year [ INTEGER ]
Business_Attributes :
attribute_id [ INTEGER ]
business_id [ INTEGER ]
attribute_value [ TEXT ]
Business_Categories :
business_id [ INTEGER ]
category_id [ INTEGER ]
Business_Hours :
business_id [ INTEGER ]
day_id [ INTEGER ]
opening_time [ TEXT ]
closing_time [ TEXT ]
Checkins :
business_id [ INTEGER ]
day_id [ INTEGER ]
label_time_0 [ TEXT ]
label_time_1 [ TEXT ]
label_time_2 [ TEXT ]
label_time_3 [ TEXT ]
label_time_4 [ TEXT ]
label_time_5 [ TEXT ]
label_time_6 [ TEXT ]
label_time_7 [ TEXT ]
label_time_8 [ TEXT ]
label_time_9 [ TEXT ]
label_time_10 [ TEXT ]
label_time_11 [ TEXT ]
label_time_12 [ TEXT ]
label_time_13 [ TEXT ]
label_time_14 [ TEXT ]
label_time_15 [ TEXT ]
label_time_16 [ TEXT ]
label_time_17 [ TEXT ]
label_time_18 [ TEXT ]
label_time_19 [ TEXT ]
label_time_20 [ TEXT ]
label_time_21 [ TEXT ]
label_time_22 [ TEXT ]
label_time_23 [ TEXT ]
Elite :
user_id [ INTEGER ]
year_id [ INTEGER ]
Reviews :
business_id [ INTEGER ]
user_id [ INTEGER ]
review_stars [ INTEGER ]
review_votes_funny [ TEXT ]
review_votes_useful [ TEXT ]
review_votes_cool [ TEXT ]
review_length [ TEXT ]
Tips :
business_id [ INTEGER ]
user_id [ INTEGER ]
likes [ INTEGER ]
tip_length [ TEXT ]
Users_Compliments :
compliment_id [ INTEGER ]
user_id [ INTEGER ]
number_of_compliments [ TEXT ]
Business :
business_id [ INTEGER ] primary_key
active [ TEXT ]
city [ TEXT ]
state [ TEXT ]
stars [ REAL ]
review_count [ TEXT ]
Users :
user_id [ INTEGER ] primary_key
user_yelping_since_year [ INTEGER ]
user_average_stars [ TEXT ]
user_votes_funny [ TEXT ]
user_votes_useful [ TEXT ]
user_votes_cool [ TEXT ]
user_review_count [ TEXT ]
user_fans [ TEXT ]
Please write me a SQL statement that answers the following question: How many business are opened for more than 8 hour in Mesa and what is the percentage of the active businesses? [/INST] | SELECT CAST(SUM(CASE WHEN T1.active = 'true' THEN 1 ELSE 0 END) AS REAL) * 100 / COUNT(T1.business_id) AS ACT FROM Business AS T1 INNER JOIN Business_Hours AS T2 ON T1.business_id = T2.business_id WHERE T1.city = 'Mesa'; |
[INST] Here is a database schema:
Attributes :
attribute_id [ INTEGER ] primary_key
attribute_name [ TEXT ]
Categories :
category_id [ INTEGER ] primary_key
category_name [ TEXT ]
Compliments :
compliment_id [ INTEGER ] primary_key
compliment_type [ TEXT ]
Days :
day_id [ INTEGER ] primary_key
day_of_week [ TEXT ]
Years :
year_id [ INTEGER ] primary_key
actual_year [ INTEGER ]
Business_Attributes :
attribute_id [ INTEGER ]
business_id [ INTEGER ]
attribute_value [ TEXT ]
Business_Categories :
business_id [ INTEGER ]
category_id [ INTEGER ]
Business_Hours :
business_id [ INTEGER ]
day_id [ INTEGER ]
opening_time [ TEXT ]
closing_time [ TEXT ]
Checkins :
business_id [ INTEGER ]
day_id [ INTEGER ]
label_time_0 [ TEXT ]
label_time_1 [ TEXT ]
label_time_2 [ TEXT ]
label_time_3 [ TEXT ]
label_time_4 [ TEXT ]
label_time_5 [ TEXT ]
label_time_6 [ TEXT ]
label_time_7 [ TEXT ]
label_time_8 [ TEXT ]
label_time_9 [ TEXT ]
label_time_10 [ TEXT ]
label_time_11 [ TEXT ]
label_time_12 [ TEXT ]
label_time_13 [ TEXT ]
label_time_14 [ TEXT ]
label_time_15 [ TEXT ]
label_time_16 [ TEXT ]
label_time_17 [ TEXT ]
label_time_18 [ TEXT ]
label_time_19 [ TEXT ]
label_time_20 [ TEXT ]
label_time_21 [ TEXT ]
label_time_22 [ TEXT ]
label_time_23 [ TEXT ]
Elite :
user_id [ INTEGER ]
year_id [ INTEGER ]
Reviews :
business_id [ INTEGER ]
user_id [ INTEGER ]
review_stars [ INTEGER ]
review_votes_funny [ TEXT ]
review_votes_useful [ TEXT ]
review_votes_cool [ TEXT ]
review_length [ TEXT ]
Tips :
business_id [ INTEGER ]
user_id [ INTEGER ]
likes [ INTEGER ]
tip_length [ TEXT ]
Users_Compliments :
compliment_id [ INTEGER ]
user_id [ INTEGER ]
number_of_compliments [ TEXT ]
Business :
business_id [ INTEGER ] primary_key
active [ TEXT ]
city [ TEXT ]
state [ TEXT ]
stars [ REAL ]
review_count [ TEXT ]
Users :
user_id [ INTEGER ] primary_key
user_yelping_since_year [ INTEGER ]
user_average_stars [ TEXT ]
user_votes_funny [ TEXT ]
user_votes_useful [ TEXT ]
user_votes_cool [ TEXT ]
user_review_count [ TEXT ]
user_fans [ TEXT ]
Please write me a SQL statement that answers the following question: How many active businesses are opened during late afternoon in the Phoenix city? List out the top 3 categories name for these businesses. [/INST] | SELECT DISTINCT T4.category_name FROM Business_Hours AS T1 INNER JOIN Business AS T2 ON T1.business_id = T2.business_id INNER JOIN Business_Categories AS T3 ON T2.business_id = T3.business_id INNER JOIN Categories AS T4 ON T3.category_id = T4.category_id WHERE T2.active = 'true' AND T2.city = 'Phoenix' AND T1.opening_time >= '5PM' LIMIT 3; |
[INST] Here is a database schema:
Attributes :
attribute_id [ INTEGER ] primary_key
attribute_name [ TEXT ]
Categories :
category_id [ INTEGER ] primary_key
category_name [ TEXT ]
Compliments :
compliment_id [ INTEGER ] primary_key
compliment_type [ TEXT ]
Days :
day_id [ INTEGER ] primary_key
day_of_week [ TEXT ]
Years :
year_id [ INTEGER ] primary_key
actual_year [ INTEGER ]
Business_Attributes :
attribute_id [ INTEGER ]
business_id [ INTEGER ]
attribute_value [ TEXT ]
Business_Categories :
business_id [ INTEGER ]
category_id [ INTEGER ]
Business_Hours :
business_id [ INTEGER ]
day_id [ INTEGER ]
opening_time [ TEXT ]
closing_time [ TEXT ]
Checkins :
business_id [ INTEGER ]
day_id [ INTEGER ]
label_time_0 [ TEXT ]
label_time_1 [ TEXT ]
label_time_2 [ TEXT ]
label_time_3 [ TEXT ]
label_time_4 [ TEXT ]
label_time_5 [ TEXT ]
label_time_6 [ TEXT ]
label_time_7 [ TEXT ]
label_time_8 [ TEXT ]
label_time_9 [ TEXT ]
label_time_10 [ TEXT ]
label_time_11 [ TEXT ]
label_time_12 [ TEXT ]
label_time_13 [ TEXT ]
label_time_14 [ TEXT ]
label_time_15 [ TEXT ]
label_time_16 [ TEXT ]
label_time_17 [ TEXT ]
label_time_18 [ TEXT ]
label_time_19 [ TEXT ]
label_time_20 [ TEXT ]
label_time_21 [ TEXT ]
label_time_22 [ TEXT ]
label_time_23 [ TEXT ]
Elite :
user_id [ INTEGER ]
year_id [ INTEGER ]
Reviews :
business_id [ INTEGER ]
user_id [ INTEGER ]
review_stars [ INTEGER ]
review_votes_funny [ TEXT ]
review_votes_useful [ TEXT ]
review_votes_cool [ TEXT ]
review_length [ TEXT ]
Tips :
business_id [ INTEGER ]
user_id [ INTEGER ]
likes [ INTEGER ]
tip_length [ TEXT ]
Users_Compliments :
compliment_id [ INTEGER ]
user_id [ INTEGER ]
number_of_compliments [ TEXT ]
Business :
business_id [ INTEGER ] primary_key
active [ TEXT ]
city [ TEXT ]
state [ TEXT ]
stars [ REAL ]
review_count [ TEXT ]
Users :
user_id [ INTEGER ] primary_key
user_yelping_since_year [ INTEGER ]
user_average_stars [ TEXT ]
user_votes_funny [ TEXT ]
user_votes_useful [ TEXT ]
user_votes_cool [ TEXT ]
user_review_count [ TEXT ]
user_fans [ TEXT ]
Please write me a SQL statement that answers the following question: Which user has done the most review on a business attributed to delivery? [/INST] | SELECT T3.user_id FROM Attributes AS T1 INNER JOIN Business_Attributes AS T2 ON T1.attribute_id = T2.attribute_id INNER JOIN Reviews AS T3 ON T2.business_id = T3.business_id WHERE T1.attribute_name = 'Delivery' GROUP BY T3.user_id ORDER BY COUNT(T2.business_id) DESC LIMIT 1; |
[INST] Here is a database schema:
Attributes :
attribute_id [ INTEGER ] primary_key
attribute_name [ TEXT ]
Categories :
category_id [ INTEGER ] primary_key
category_name [ TEXT ]
Compliments :
compliment_id [ INTEGER ] primary_key
compliment_type [ TEXT ]
Days :
day_id [ INTEGER ] primary_key
day_of_week [ TEXT ]
Years :
year_id [ INTEGER ] primary_key
actual_year [ INTEGER ]
Business_Attributes :
attribute_id [ INTEGER ]
business_id [ INTEGER ]
attribute_value [ TEXT ]
Business_Categories :
business_id [ INTEGER ]
category_id [ INTEGER ]
Business_Hours :
business_id [ INTEGER ]
day_id [ INTEGER ]
opening_time [ TEXT ]
closing_time [ TEXT ]
Checkins :
business_id [ INTEGER ]
day_id [ INTEGER ]
label_time_0 [ TEXT ]
label_time_1 [ TEXT ]
label_time_2 [ TEXT ]
label_time_3 [ TEXT ]
label_time_4 [ TEXT ]
label_time_5 [ TEXT ]
label_time_6 [ TEXT ]
label_time_7 [ TEXT ]
label_time_8 [ TEXT ]
label_time_9 [ TEXT ]
label_time_10 [ TEXT ]
label_time_11 [ TEXT ]
label_time_12 [ TEXT ]
label_time_13 [ TEXT ]
label_time_14 [ TEXT ]
label_time_15 [ TEXT ]
label_time_16 [ TEXT ]
label_time_17 [ TEXT ]
label_time_18 [ TEXT ]
label_time_19 [ TEXT ]
label_time_20 [ TEXT ]
label_time_21 [ TEXT ]
label_time_22 [ TEXT ]
label_time_23 [ TEXT ]
Elite :
user_id [ INTEGER ]
year_id [ INTEGER ]
Reviews :
business_id [ INTEGER ]
user_id [ INTEGER ]
review_stars [ INTEGER ]
review_votes_funny [ TEXT ]
review_votes_useful [ TEXT ]
review_votes_cool [ TEXT ]
review_length [ TEXT ]
Tips :
business_id [ INTEGER ]
user_id [ INTEGER ]
likes [ INTEGER ]
tip_length [ TEXT ]
Users_Compliments :
compliment_id [ INTEGER ]
user_id [ INTEGER ]
number_of_compliments [ TEXT ]
Business :
business_id [ INTEGER ] primary_key
active [ TEXT ]
city [ TEXT ]
state [ TEXT ]
stars [ REAL ]
review_count [ TEXT ]
Users :
user_id [ INTEGER ] primary_key
user_yelping_since_year [ INTEGER ]
user_average_stars [ TEXT ]
user_votes_funny [ TEXT ]
user_votes_useful [ TEXT ]
user_votes_cool [ TEXT ]
user_review_count [ TEXT ]
user_fans [ TEXT ]
Please write me a SQL statement that answers the following question: What is the average number of reviews written for active businesses that operate not more than 30 hours a week? [/INST] | SELECT AVG(T3.user_id) FROM Business AS T1 INNER JOIN Business_Hours AS T2 ON T1.business_id = T2.business_id INNER JOIN Reviews AS T3 ON T1.business_id = T3.business_id WHERE T1.active = 'true' GROUP BY T2.closing_time - T2.opening_time HAVING SUM(T2.closing_time - T2.opening_time) < 30; |
[INST] Here is a database schema:
Attributes :
attribute_id [ INTEGER ] primary_key
attribute_name [ TEXT ]
Categories :
category_id [ INTEGER ] primary_key
category_name [ TEXT ]
Compliments :
compliment_id [ INTEGER ] primary_key
compliment_type [ TEXT ]
Days :
day_id [ INTEGER ] primary_key
day_of_week [ TEXT ]
Years :
year_id [ INTEGER ] primary_key
actual_year [ INTEGER ]
Business_Attributes :
attribute_id [ INTEGER ]
business_id [ INTEGER ]
attribute_value [ TEXT ]
Business_Categories :
business_id [ INTEGER ]
category_id [ INTEGER ]
Business_Hours :
business_id [ INTEGER ]
day_id [ INTEGER ]
opening_time [ TEXT ]
closing_time [ TEXT ]
Checkins :
business_id [ INTEGER ]
day_id [ INTEGER ]
label_time_0 [ TEXT ]
label_time_1 [ TEXT ]
label_time_2 [ TEXT ]
label_time_3 [ TEXT ]
label_time_4 [ TEXT ]
label_time_5 [ TEXT ]
label_time_6 [ TEXT ]
label_time_7 [ TEXT ]
label_time_8 [ TEXT ]
label_time_9 [ TEXT ]
label_time_10 [ TEXT ]
label_time_11 [ TEXT ]
label_time_12 [ TEXT ]
label_time_13 [ TEXT ]
label_time_14 [ TEXT ]
label_time_15 [ TEXT ]
label_time_16 [ TEXT ]
label_time_17 [ TEXT ]
label_time_18 [ TEXT ]
label_time_19 [ TEXT ]
label_time_20 [ TEXT ]
label_time_21 [ TEXT ]
label_time_22 [ TEXT ]
label_time_23 [ TEXT ]
Elite :
user_id [ INTEGER ]
year_id [ INTEGER ]
Reviews :
business_id [ INTEGER ]
user_id [ INTEGER ]
review_stars [ INTEGER ]
review_votes_funny [ TEXT ]
review_votes_useful [ TEXT ]
review_votes_cool [ TEXT ]
review_length [ TEXT ]
Tips :
business_id [ INTEGER ]
user_id [ INTEGER ]
likes [ INTEGER ]
tip_length [ TEXT ]
Users_Compliments :
compliment_id [ INTEGER ]
user_id [ INTEGER ]
number_of_compliments [ TEXT ]
Business :
business_id [ INTEGER ] primary_key
active [ TEXT ]
city [ TEXT ]
state [ TEXT ]
stars [ REAL ]
review_count [ TEXT ]
Users :
user_id [ INTEGER ] primary_key
user_yelping_since_year [ INTEGER ]
user_average_stars [ TEXT ]
user_votes_funny [ TEXT ]
user_votes_useful [ TEXT ]
user_votes_cool [ TEXT ]
user_review_count [ TEXT ]
user_fans [ TEXT ]
Please write me a SQL statement that answers the following question: How many business ids have opening hours from 8AM to 6PM? [/INST] | SELECT DISTINCT business_id FROM Business_Hours WHERE opening_time = '8AM' AND closing_time = '6PM'; |
[INST] Here is a database schema:
Attributes :
attribute_id [ INTEGER ] primary_key
attribute_name [ TEXT ]
Categories :
category_id [ INTEGER ] primary_key
category_name [ TEXT ]
Compliments :
compliment_id [ INTEGER ] primary_key
compliment_type [ TEXT ]
Days :
day_id [ INTEGER ] primary_key
day_of_week [ TEXT ]
Years :
year_id [ INTEGER ] primary_key
actual_year [ INTEGER ]
Business_Attributes :
attribute_id [ INTEGER ]
business_id [ INTEGER ]
attribute_value [ TEXT ]
Business_Categories :
business_id [ INTEGER ]
category_id [ INTEGER ]
Business_Hours :
business_id [ INTEGER ]
day_id [ INTEGER ]
opening_time [ TEXT ]
closing_time [ TEXT ]
Checkins :
business_id [ INTEGER ]
day_id [ INTEGER ]
label_time_0 [ TEXT ]
label_time_1 [ TEXT ]
label_time_2 [ TEXT ]
label_time_3 [ TEXT ]
label_time_4 [ TEXT ]
label_time_5 [ TEXT ]
label_time_6 [ TEXT ]
label_time_7 [ TEXT ]
label_time_8 [ TEXT ]
label_time_9 [ TEXT ]
label_time_10 [ TEXT ]
label_time_11 [ TEXT ]
label_time_12 [ TEXT ]
label_time_13 [ TEXT ]
label_time_14 [ TEXT ]
label_time_15 [ TEXT ]
label_time_16 [ TEXT ]
label_time_17 [ TEXT ]
label_time_18 [ TEXT ]
label_time_19 [ TEXT ]
label_time_20 [ TEXT ]
label_time_21 [ TEXT ]
label_time_22 [ TEXT ]
label_time_23 [ TEXT ]
Elite :
user_id [ INTEGER ]
year_id [ INTEGER ]
Reviews :
business_id [ INTEGER ]
user_id [ INTEGER ]
review_stars [ INTEGER ]
review_votes_funny [ TEXT ]
review_votes_useful [ TEXT ]
review_votes_cool [ TEXT ]
review_length [ TEXT ]
Tips :
business_id [ INTEGER ]
user_id [ INTEGER ]
likes [ INTEGER ]
tip_length [ TEXT ]
Users_Compliments :
compliment_id [ INTEGER ]
user_id [ INTEGER ]
number_of_compliments [ TEXT ]
Business :
business_id [ INTEGER ] primary_key
active [ TEXT ]
city [ TEXT ]
state [ TEXT ]
stars [ REAL ]
review_count [ TEXT ]
Users :
user_id [ INTEGER ] primary_key
user_yelping_since_year [ INTEGER ]
user_average_stars [ TEXT ]
user_votes_funny [ TEXT ]
user_votes_useful [ TEXT ]
user_votes_cool [ TEXT ]
user_review_count [ TEXT ]
user_fans [ TEXT ]
Please write me a SQL statement that answers the following question: Provide business ids with opening hours 10AM on Saturday. [/INST] | SELECT DISTINCT business_id FROM Business_Hours WHERE day_id = 6 AND opening_time = '10AM'; |
[INST] Here is a database schema:
Attributes :
attribute_id [ INTEGER ] primary_key
attribute_name [ TEXT ]
Categories :
category_id [ INTEGER ] primary_key
category_name [ TEXT ]
Compliments :
compliment_id [ INTEGER ] primary_key
compliment_type [ TEXT ]
Days :
day_id [ INTEGER ] primary_key
day_of_week [ TEXT ]
Years :
year_id [ INTEGER ] primary_key
actual_year [ INTEGER ]
Business_Attributes :
attribute_id [ INTEGER ]
business_id [ INTEGER ]
attribute_value [ TEXT ]
Business_Categories :
business_id [ INTEGER ]
category_id [ INTEGER ]
Business_Hours :
business_id [ INTEGER ]
day_id [ INTEGER ]
opening_time [ TEXT ]
closing_time [ TEXT ]
Checkins :
business_id [ INTEGER ]
day_id [ INTEGER ]
label_time_0 [ TEXT ]
label_time_1 [ TEXT ]
label_time_2 [ TEXT ]
label_time_3 [ TEXT ]
label_time_4 [ TEXT ]
label_time_5 [ TEXT ]
label_time_6 [ TEXT ]
label_time_7 [ TEXT ]
label_time_8 [ TEXT ]
label_time_9 [ TEXT ]
label_time_10 [ TEXT ]
label_time_11 [ TEXT ]
label_time_12 [ TEXT ]
label_time_13 [ TEXT ]
label_time_14 [ TEXT ]
label_time_15 [ TEXT ]
label_time_16 [ TEXT ]
label_time_17 [ TEXT ]
label_time_18 [ TEXT ]
label_time_19 [ TEXT ]
label_time_20 [ TEXT ]
label_time_21 [ TEXT ]
label_time_22 [ TEXT ]
label_time_23 [ TEXT ]
Elite :
user_id [ INTEGER ]
year_id [ INTEGER ]
Reviews :
business_id [ INTEGER ]
user_id [ INTEGER ]
review_stars [ INTEGER ]
review_votes_funny [ TEXT ]
review_votes_useful [ TEXT ]
review_votes_cool [ TEXT ]
review_length [ TEXT ]
Tips :
business_id [ INTEGER ]
user_id [ INTEGER ]
likes [ INTEGER ]
tip_length [ TEXT ]
Users_Compliments :
compliment_id [ INTEGER ]
user_id [ INTEGER ]
number_of_compliments [ TEXT ]
Business :
business_id [ INTEGER ] primary_key
active [ TEXT ]
city [ TEXT ]
state [ TEXT ]
stars [ REAL ]
review_count [ TEXT ]
Users :
user_id [ INTEGER ] primary_key
user_yelping_since_year [ INTEGER ]
user_average_stars [ TEXT ]
user_votes_funny [ TEXT ]
user_votes_useful [ TEXT ]
user_votes_cool [ TEXT ]
user_review_count [ TEXT ]
user_fans [ TEXT ]
Please write me a SQL statement that answers the following question: Indicate the business id and days which are opened from 8AM to 6PM. [/INST] | SELECT DISTINCT day_id FROM Business_Hours WHERE opening_time = '8AM' AND closing_time = '6PM'; |
[INST] Here is a database schema:
Attributes :
attribute_id [ INTEGER ] primary_key
attribute_name [ TEXT ]
Categories :
category_id [ INTEGER ] primary_key
category_name [ TEXT ]
Compliments :
compliment_id [ INTEGER ] primary_key
compliment_type [ TEXT ]
Days :
day_id [ INTEGER ] primary_key
day_of_week [ TEXT ]
Years :
year_id [ INTEGER ] primary_key
actual_year [ INTEGER ]
Business_Attributes :
attribute_id [ INTEGER ]
business_id [ INTEGER ]
attribute_value [ TEXT ]
Business_Categories :
business_id [ INTEGER ]
category_id [ INTEGER ]
Business_Hours :
business_id [ INTEGER ]
day_id [ INTEGER ]
opening_time [ TEXT ]
closing_time [ TEXT ]
Checkins :
business_id [ INTEGER ]
day_id [ INTEGER ]
label_time_0 [ TEXT ]
label_time_1 [ TEXT ]
label_time_2 [ TEXT ]
label_time_3 [ TEXT ]
label_time_4 [ TEXT ]
label_time_5 [ TEXT ]
label_time_6 [ TEXT ]
label_time_7 [ TEXT ]
label_time_8 [ TEXT ]
label_time_9 [ TEXT ]
label_time_10 [ TEXT ]
label_time_11 [ TEXT ]
label_time_12 [ TEXT ]
label_time_13 [ TEXT ]
label_time_14 [ TEXT ]
label_time_15 [ TEXT ]
label_time_16 [ TEXT ]
label_time_17 [ TEXT ]
label_time_18 [ TEXT ]
label_time_19 [ TEXT ]
label_time_20 [ TEXT ]
label_time_21 [ TEXT ]
label_time_22 [ TEXT ]
label_time_23 [ TEXT ]
Elite :
user_id [ INTEGER ]
year_id [ INTEGER ]
Reviews :
business_id [ INTEGER ]
user_id [ INTEGER ]
review_stars [ INTEGER ]
review_votes_funny [ TEXT ]
review_votes_useful [ TEXT ]
review_votes_cool [ TEXT ]
review_length [ TEXT ]
Tips :
business_id [ INTEGER ]
user_id [ INTEGER ]
likes [ INTEGER ]
tip_length [ TEXT ]
Users_Compliments :
compliment_id [ INTEGER ]
user_id [ INTEGER ]
number_of_compliments [ TEXT ]
Business :
business_id [ INTEGER ] primary_key
active [ TEXT ]
city [ TEXT ]
state [ TEXT ]
stars [ REAL ]
review_count [ TEXT ]
Users :
user_id [ INTEGER ] primary_key
user_yelping_since_year [ INTEGER ]
user_average_stars [ TEXT ]
user_votes_funny [ TEXT ]
user_votes_useful [ TEXT ]
user_votes_cool [ TEXT ]
user_review_count [ TEXT ]
user_fans [ TEXT ]
Please write me a SQL statement that answers the following question: How many businesses id are rated more than 4? [/INST] | SELECT COUNT(business_id) FROM Business WHERE stars > 4; |
[INST] Here is a database schema:
Attributes :
attribute_id [ INTEGER ] primary_key
attribute_name [ TEXT ]
Categories :
category_id [ INTEGER ] primary_key
category_name [ TEXT ]
Compliments :
compliment_id [ INTEGER ] primary_key
compliment_type [ TEXT ]
Days :
day_id [ INTEGER ] primary_key
day_of_week [ TEXT ]
Years :
year_id [ INTEGER ] primary_key
actual_year [ INTEGER ]
Business_Attributes :
attribute_id [ INTEGER ]
business_id [ INTEGER ]
attribute_value [ TEXT ]
Business_Categories :
business_id [ INTEGER ]
category_id [ INTEGER ]
Business_Hours :
business_id [ INTEGER ]
day_id [ INTEGER ]
opening_time [ TEXT ]
closing_time [ TEXT ]
Checkins :
business_id [ INTEGER ]
day_id [ INTEGER ]
label_time_0 [ TEXT ]
label_time_1 [ TEXT ]
label_time_2 [ TEXT ]
label_time_3 [ TEXT ]
label_time_4 [ TEXT ]
label_time_5 [ TEXT ]
label_time_6 [ TEXT ]
label_time_7 [ TEXT ]
label_time_8 [ TEXT ]
label_time_9 [ TEXT ]
label_time_10 [ TEXT ]
label_time_11 [ TEXT ]
label_time_12 [ TEXT ]
label_time_13 [ TEXT ]
label_time_14 [ TEXT ]
label_time_15 [ TEXT ]
label_time_16 [ TEXT ]
label_time_17 [ TEXT ]
label_time_18 [ TEXT ]
label_time_19 [ TEXT ]
label_time_20 [ TEXT ]
label_time_21 [ TEXT ]
label_time_22 [ TEXT ]
label_time_23 [ TEXT ]
Elite :
user_id [ INTEGER ]
year_id [ INTEGER ]
Reviews :
business_id [ INTEGER ]
user_id [ INTEGER ]
review_stars [ INTEGER ]
review_votes_funny [ TEXT ]
review_votes_useful [ TEXT ]
review_votes_cool [ TEXT ]
review_length [ TEXT ]
Tips :
business_id [ INTEGER ]
user_id [ INTEGER ]
likes [ INTEGER ]
tip_length [ TEXT ]
Users_Compliments :
compliment_id [ INTEGER ]
user_id [ INTEGER ]
number_of_compliments [ TEXT ]
Business :
business_id [ INTEGER ] primary_key
active [ TEXT ]
city [ TEXT ]
state [ TEXT ]
stars [ REAL ]
review_count [ TEXT ]
Users :
user_id [ INTEGER ] primary_key
user_yelping_since_year [ INTEGER ]
user_average_stars [ TEXT ]
user_votes_funny [ TEXT ]
user_votes_useful [ TEXT ]
user_votes_cool [ TEXT ]
user_review_count [ TEXT ]
user_fans [ TEXT ]
Please write me a SQL statement that answers the following question: What are the categories of businesses that have opening time on Sunday? [/INST] | SELECT DISTINCT T1.category_name FROM Categories AS T1 INNER JOIN Business_Categories AS T2 ON T1.category_id = T2.category_id INNER JOIN Business_Hours AS T3 ON T2.business_id = T3.business_id INNER JOIN Days AS T4 ON T3.day_id = T4.day_id WHERE T4.day_of_week = 'Sunday' AND T3.opening_time <> ''; |
[INST] Here is a database schema:
Attributes :
attribute_id [ INTEGER ] primary_key
attribute_name [ TEXT ]
Categories :
category_id [ INTEGER ] primary_key
category_name [ TEXT ]
Compliments :
compliment_id [ INTEGER ] primary_key
compliment_type [ TEXT ]
Days :
day_id [ INTEGER ] primary_key
day_of_week [ TEXT ]
Years :
year_id [ INTEGER ] primary_key
actual_year [ INTEGER ]
Business_Attributes :
attribute_id [ INTEGER ]
business_id [ INTEGER ]
attribute_value [ TEXT ]
Business_Categories :
business_id [ INTEGER ]
category_id [ INTEGER ]
Business_Hours :
business_id [ INTEGER ]
day_id [ INTEGER ]
opening_time [ TEXT ]
closing_time [ TEXT ]
Checkins :
business_id [ INTEGER ]
day_id [ INTEGER ]
label_time_0 [ TEXT ]
label_time_1 [ TEXT ]
label_time_2 [ TEXT ]
label_time_3 [ TEXT ]
label_time_4 [ TEXT ]
label_time_5 [ TEXT ]
label_time_6 [ TEXT ]
label_time_7 [ TEXT ]
label_time_8 [ TEXT ]
label_time_9 [ TEXT ]
label_time_10 [ TEXT ]
label_time_11 [ TEXT ]
label_time_12 [ TEXT ]
label_time_13 [ TEXT ]
label_time_14 [ TEXT ]
label_time_15 [ TEXT ]
label_time_16 [ TEXT ]
label_time_17 [ TEXT ]
label_time_18 [ TEXT ]
label_time_19 [ TEXT ]
label_time_20 [ TEXT ]
label_time_21 [ TEXT ]
label_time_22 [ TEXT ]
label_time_23 [ TEXT ]
Elite :
user_id [ INTEGER ]
year_id [ INTEGER ]
Reviews :
business_id [ INTEGER ]
user_id [ INTEGER ]
review_stars [ INTEGER ]
review_votes_funny [ TEXT ]
review_votes_useful [ TEXT ]
review_votes_cool [ TEXT ]
review_length [ TEXT ]
Tips :
business_id [ INTEGER ]
user_id [ INTEGER ]
likes [ INTEGER ]
tip_length [ TEXT ]
Users_Compliments :
compliment_id [ INTEGER ]
user_id [ INTEGER ]
number_of_compliments [ TEXT ]
Business :
business_id [ INTEGER ] primary_key
active [ TEXT ]
city [ TEXT ]
state [ TEXT ]
stars [ REAL ]
review_count [ TEXT ]
Users :
user_id [ INTEGER ] primary_key
user_yelping_since_year [ INTEGER ]
user_average_stars [ TEXT ]
user_votes_funny [ TEXT ]
user_votes_useful [ TEXT ]
user_votes_cool [ TEXT ]
user_review_count [ TEXT ]
user_fans [ TEXT ]
Please write me a SQL statement that answers the following question: Please indicate the opening day of businesses whose category is pets. [/INST] | SELECT DISTINCT T4.day_of_week FROM Business_Categories AS T1 INNER JOIN Categories AS T2 ON T1.category_id = T2.category_id INNER JOIN Business_Hours AS T3 ON T1.business_id = T3.business_id INNER JOIN Days AS T4 ON T3.day_id = T4.day_id WHERE T2.category_name = 'Pets'; |
[INST] Here is a database schema:
Attributes :
attribute_id [ INTEGER ] primary_key
attribute_name [ TEXT ]
Categories :
category_id [ INTEGER ] primary_key
category_name [ TEXT ]
Compliments :
compliment_id [ INTEGER ] primary_key
compliment_type [ TEXT ]
Days :
day_id [ INTEGER ] primary_key
day_of_week [ TEXT ]
Years :
year_id [ INTEGER ] primary_key
actual_year [ INTEGER ]
Business_Attributes :
attribute_id [ INTEGER ]
business_id [ INTEGER ]
attribute_value [ TEXT ]
Business_Categories :
business_id [ INTEGER ]
category_id [ INTEGER ]
Business_Hours :
business_id [ INTEGER ]
day_id [ INTEGER ]
opening_time [ TEXT ]
closing_time [ TEXT ]
Checkins :
business_id [ INTEGER ]
day_id [ INTEGER ]
label_time_0 [ TEXT ]
label_time_1 [ TEXT ]
label_time_2 [ TEXT ]
label_time_3 [ TEXT ]
label_time_4 [ TEXT ]
label_time_5 [ TEXT ]
label_time_6 [ TEXT ]
label_time_7 [ TEXT ]
label_time_8 [ TEXT ]
label_time_9 [ TEXT ]
label_time_10 [ TEXT ]
label_time_11 [ TEXT ]
label_time_12 [ TEXT ]
label_time_13 [ TEXT ]
label_time_14 [ TEXT ]
label_time_15 [ TEXT ]
label_time_16 [ TEXT ]
label_time_17 [ TEXT ]
label_time_18 [ TEXT ]
label_time_19 [ TEXT ]
label_time_20 [ TEXT ]
label_time_21 [ TEXT ]
label_time_22 [ TEXT ]
label_time_23 [ TEXT ]
Elite :
user_id [ INTEGER ]
year_id [ INTEGER ]
Reviews :
business_id [ INTEGER ]
user_id [ INTEGER ]
review_stars [ INTEGER ]
review_votes_funny [ TEXT ]
review_votes_useful [ TEXT ]
review_votes_cool [ TEXT ]
review_length [ TEXT ]
Tips :
business_id [ INTEGER ]
user_id [ INTEGER ]
likes [ INTEGER ]
tip_length [ TEXT ]
Users_Compliments :
compliment_id [ INTEGER ]
user_id [ INTEGER ]
number_of_compliments [ TEXT ]
Business :
business_id [ INTEGER ] primary_key
active [ TEXT ]
city [ TEXT ]
state [ TEXT ]
stars [ REAL ]
review_count [ TEXT ]
Users :
user_id [ INTEGER ] primary_key
user_yelping_since_year [ INTEGER ]
user_average_stars [ TEXT ]
user_votes_funny [ TEXT ]
user_votes_useful [ TEXT ]
user_votes_cool [ TEXT ]
user_review_count [ TEXT ]
user_fans [ TEXT ]
Please write me a SQL statement that answers the following question: Please indicate the closing hours and business days of the businesses with the category named Doctors. [/INST] | SELECT DISTINCT T3.opening_time, T3.day_id FROM Business_Categories AS T1 INNER JOIN Categories AS T2 ON T1.category_id = T2.category_id INNER JOIN Business_Hours AS T3 ON T1.business_id = T3.business_id INNER JOIN Days AS T4 ON T3.day_id = T4.day_id WHERE T2.category_name = 'Doctors'; |
[INST] Here is a database schema:
Attributes :
attribute_id [ INTEGER ] primary_key
attribute_name [ TEXT ]
Categories :
category_id [ INTEGER ] primary_key
category_name [ TEXT ]
Compliments :
compliment_id [ INTEGER ] primary_key
compliment_type [ TEXT ]
Days :
day_id [ INTEGER ] primary_key
day_of_week [ TEXT ]
Years :
year_id [ INTEGER ] primary_key
actual_year [ INTEGER ]
Business_Attributes :
attribute_id [ INTEGER ]
business_id [ INTEGER ]
attribute_value [ TEXT ]
Business_Categories :
business_id [ INTEGER ]
category_id [ INTEGER ]
Business_Hours :
business_id [ INTEGER ]
day_id [ INTEGER ]
opening_time [ TEXT ]
closing_time [ TEXT ]
Checkins :
business_id [ INTEGER ]
day_id [ INTEGER ]
label_time_0 [ TEXT ]
label_time_1 [ TEXT ]
label_time_2 [ TEXT ]
label_time_3 [ TEXT ]
label_time_4 [ TEXT ]
label_time_5 [ TEXT ]
label_time_6 [ TEXT ]
label_time_7 [ TEXT ]
label_time_8 [ TEXT ]
label_time_9 [ TEXT ]
label_time_10 [ TEXT ]
label_time_11 [ TEXT ]
label_time_12 [ TEXT ]
label_time_13 [ TEXT ]
label_time_14 [ TEXT ]
label_time_15 [ TEXT ]
label_time_16 [ TEXT ]
label_time_17 [ TEXT ]
label_time_18 [ TEXT ]
label_time_19 [ TEXT ]
label_time_20 [ TEXT ]
label_time_21 [ TEXT ]
label_time_22 [ TEXT ]
label_time_23 [ TEXT ]
Elite :
user_id [ INTEGER ]
year_id [ INTEGER ]
Reviews :
business_id [ INTEGER ]
user_id [ INTEGER ]
review_stars [ INTEGER ]
review_votes_funny [ TEXT ]
review_votes_useful [ TEXT ]
review_votes_cool [ TEXT ]
review_length [ TEXT ]
Tips :
business_id [ INTEGER ]
user_id [ INTEGER ]
likes [ INTEGER ]
tip_length [ TEXT ]
Users_Compliments :
compliment_id [ INTEGER ]
user_id [ INTEGER ]
number_of_compliments [ TEXT ]
Business :
business_id [ INTEGER ] primary_key
active [ TEXT ]
city [ TEXT ]
state [ TEXT ]
stars [ REAL ]
review_count [ TEXT ]
Users :
user_id [ INTEGER ] primary_key
user_yelping_since_year [ INTEGER ]
user_average_stars [ TEXT ]
user_votes_funny [ TEXT ]
user_votes_useful [ TEXT ]
user_votes_cool [ TEXT ]
user_review_count [ TEXT ]
user_fans [ TEXT ]
Please write me a SQL statement that answers the following question: Among the working days from Monday to Saturday, which businesses with the category names work the most days? [/INST] | SELECT T2.category_name FROM Business_Categories AS T1 INNER JOIN Categories AS T2 ON T1.category_id = T2.category_id INNER JOIN Business_Hours AS T3 ON T1.business_id = T3.business_id INNER JOIN Days AS T4 ON T3.day_id = T4.day_id GROUP BY T2.category_name ORDER BY COUNT(T3.day_id) DESC LIMIT 1; |
[INST] Here is a database schema:
Attributes :
attribute_id [ INTEGER ] primary_key
attribute_name [ TEXT ]
Categories :
category_id [ INTEGER ] primary_key
category_name [ TEXT ]
Compliments :
compliment_id [ INTEGER ] primary_key
compliment_type [ TEXT ]
Days :
day_id [ INTEGER ] primary_key
day_of_week [ TEXT ]
Years :
year_id [ INTEGER ] primary_key
actual_year [ INTEGER ]
Business_Attributes :
attribute_id [ INTEGER ]
business_id [ INTEGER ]
attribute_value [ TEXT ]
Business_Categories :
business_id [ INTEGER ]
category_id [ INTEGER ]
Business_Hours :
business_id [ INTEGER ]
day_id [ INTEGER ]
opening_time [ TEXT ]
closing_time [ TEXT ]
Checkins :
business_id [ INTEGER ]
day_id [ INTEGER ]
label_time_0 [ TEXT ]
label_time_1 [ TEXT ]
label_time_2 [ TEXT ]
label_time_3 [ TEXT ]
label_time_4 [ TEXT ]
label_time_5 [ TEXT ]
label_time_6 [ TEXT ]
label_time_7 [ TEXT ]
label_time_8 [ TEXT ]
label_time_9 [ TEXT ]
label_time_10 [ TEXT ]
label_time_11 [ TEXT ]
label_time_12 [ TEXT ]
label_time_13 [ TEXT ]
label_time_14 [ TEXT ]
label_time_15 [ TEXT ]
label_time_16 [ TEXT ]
label_time_17 [ TEXT ]
label_time_18 [ TEXT ]
label_time_19 [ TEXT ]
label_time_20 [ TEXT ]
label_time_21 [ TEXT ]
label_time_22 [ TEXT ]
label_time_23 [ TEXT ]
Elite :
user_id [ INTEGER ]
year_id [ INTEGER ]
Reviews :
business_id [ INTEGER ]
user_id [ INTEGER ]
review_stars [ INTEGER ]
review_votes_funny [ TEXT ]
review_votes_useful [ TEXT ]
review_votes_cool [ TEXT ]
review_length [ TEXT ]
Tips :
business_id [ INTEGER ]
user_id [ INTEGER ]
likes [ INTEGER ]
tip_length [ TEXT ]
Users_Compliments :
compliment_id [ INTEGER ]
user_id [ INTEGER ]
number_of_compliments [ TEXT ]
Business :
business_id [ INTEGER ] primary_key
active [ TEXT ]
city [ TEXT ]
state [ TEXT ]
stars [ REAL ]
review_count [ TEXT ]
Users :
user_id [ INTEGER ] primary_key
user_yelping_since_year [ INTEGER ]
user_average_stars [ TEXT ]
user_votes_funny [ TEXT ]
user_votes_useful [ TEXT ]
user_votes_cool [ TEXT ]
user_review_count [ TEXT ]
user_fans [ TEXT ]
Please write me a SQL statement that answers the following question: Please indicate the business id have the closing time with the category of Arts & Entertainment on Sunday. [/INST] | SELECT T1.business_id, T3.closing_time FROM Business_Categories AS T1 INNER JOIN Categories AS T2 ON T1.category_id = T2.category_id INNER JOIN Business_Hours AS T3 ON T1.business_id = T3.business_id INNER JOIN Days AS T4 ON T3.day_id = T4.day_id WHERE T2.category_name = 'Arts & Entertainment' AND T4.day_of_week = 'Sunday'; |
[INST] Here is a database schema:
Attributes :
attribute_id [ INTEGER ] primary_key
attribute_name [ TEXT ]
Categories :
category_id [ INTEGER ] primary_key
category_name [ TEXT ]
Compliments :
compliment_id [ INTEGER ] primary_key
compliment_type [ TEXT ]
Days :
day_id [ INTEGER ] primary_key
day_of_week [ TEXT ]
Years :
year_id [ INTEGER ] primary_key
actual_year [ INTEGER ]
Business_Attributes :
attribute_id [ INTEGER ]
business_id [ INTEGER ]
attribute_value [ TEXT ]
Business_Categories :
business_id [ INTEGER ]
category_id [ INTEGER ]
Business_Hours :
business_id [ INTEGER ]
day_id [ INTEGER ]
opening_time [ TEXT ]
closing_time [ TEXT ]
Checkins :
business_id [ INTEGER ]
day_id [ INTEGER ]
label_time_0 [ TEXT ]
label_time_1 [ TEXT ]
label_time_2 [ TEXT ]
label_time_3 [ TEXT ]
label_time_4 [ TEXT ]
label_time_5 [ TEXT ]
label_time_6 [ TEXT ]
label_time_7 [ TEXT ]
label_time_8 [ TEXT ]
label_time_9 [ TEXT ]
label_time_10 [ TEXT ]
label_time_11 [ TEXT ]
label_time_12 [ TEXT ]
label_time_13 [ TEXT ]
label_time_14 [ TEXT ]
label_time_15 [ TEXT ]
label_time_16 [ TEXT ]
label_time_17 [ TEXT ]
label_time_18 [ TEXT ]
label_time_19 [ TEXT ]
label_time_20 [ TEXT ]
label_time_21 [ TEXT ]
label_time_22 [ TEXT ]
label_time_23 [ TEXT ]
Elite :
user_id [ INTEGER ]
year_id [ INTEGER ]
Reviews :
business_id [ INTEGER ]
user_id [ INTEGER ]
review_stars [ INTEGER ]
review_votes_funny [ TEXT ]
review_votes_useful [ TEXT ]
review_votes_cool [ TEXT ]
review_length [ TEXT ]
Tips :
business_id [ INTEGER ]
user_id [ INTEGER ]
likes [ INTEGER ]
tip_length [ TEXT ]
Users_Compliments :
compliment_id [ INTEGER ]
user_id [ INTEGER ]
number_of_compliments [ TEXT ]
Business :
business_id [ INTEGER ] primary_key
active [ TEXT ]
city [ TEXT ]
state [ TEXT ]
stars [ REAL ]
review_count [ TEXT ]
Users :
user_id [ INTEGER ] primary_key
user_yelping_since_year [ INTEGER ]
user_average_stars [ TEXT ]
user_votes_funny [ TEXT ]
user_votes_useful [ TEXT ]
user_votes_cool [ TEXT ]
user_review_count [ TEXT ]
user_fans [ TEXT ]
Please write me a SQL statement that answers the following question: In businesses with a category of "DJs", how many businesses are rated less than 5? [/INST] | SELECT COUNT(T1.business_id) FROM Business AS T1 INNER JOIN Business_Categories AS T2 ON T1.business_id = T2.business_id INNER JOIN Categories AS T3 ON T2.category_id = T3.category_id WHERE T3.category_name = 'DJs' AND T1.stars < 5; |
[INST] Here is a database schema:
Attributes :
attribute_id [ INTEGER ] primary_key
attribute_name [ TEXT ]
Categories :
category_id [ INTEGER ] primary_key
category_name [ TEXT ]
Compliments :
compliment_id [ INTEGER ] primary_key
compliment_type [ TEXT ]
Days :
day_id [ INTEGER ] primary_key
day_of_week [ TEXT ]
Years :
year_id [ INTEGER ] primary_key
actual_year [ INTEGER ]
Business_Attributes :
attribute_id [ INTEGER ]
business_id [ INTEGER ]
attribute_value [ TEXT ]
Business_Categories :
business_id [ INTEGER ]
category_id [ INTEGER ]
Business_Hours :
business_id [ INTEGER ]
day_id [ INTEGER ]
opening_time [ TEXT ]
closing_time [ TEXT ]
Checkins :
business_id [ INTEGER ]
day_id [ INTEGER ]
label_time_0 [ TEXT ]
label_time_1 [ TEXT ]
label_time_2 [ TEXT ]
label_time_3 [ TEXT ]
label_time_4 [ TEXT ]
label_time_5 [ TEXT ]
label_time_6 [ TEXT ]
label_time_7 [ TEXT ]
label_time_8 [ TEXT ]
label_time_9 [ TEXT ]
label_time_10 [ TEXT ]
label_time_11 [ TEXT ]
label_time_12 [ TEXT ]
label_time_13 [ TEXT ]
label_time_14 [ TEXT ]
label_time_15 [ TEXT ]
label_time_16 [ TEXT ]
label_time_17 [ TEXT ]
label_time_18 [ TEXT ]
label_time_19 [ TEXT ]
label_time_20 [ TEXT ]
label_time_21 [ TEXT ]
label_time_22 [ TEXT ]
label_time_23 [ TEXT ]
Elite :
user_id [ INTEGER ]
year_id [ INTEGER ]
Reviews :
business_id [ INTEGER ]
user_id [ INTEGER ]
review_stars [ INTEGER ]
review_votes_funny [ TEXT ]
review_votes_useful [ TEXT ]
review_votes_cool [ TEXT ]
review_length [ TEXT ]
Tips :
business_id [ INTEGER ]
user_id [ INTEGER ]
likes [ INTEGER ]
tip_length [ TEXT ]
Users_Compliments :
compliment_id [ INTEGER ]
user_id [ INTEGER ]
number_of_compliments [ TEXT ]
Business :
business_id [ INTEGER ] primary_key
active [ TEXT ]
city [ TEXT ]
state [ TEXT ]
stars [ REAL ]
review_count [ TEXT ]
Users :
user_id [ INTEGER ] primary_key
user_yelping_since_year [ INTEGER ]
user_average_stars [ TEXT ]
user_votes_funny [ TEXT ]
user_votes_useful [ TEXT ]
user_votes_cool [ TEXT ]
user_review_count [ TEXT ]
user_fans [ TEXT ]
Please write me a SQL statement that answers the following question: List active business ids with opening times of 7AM and closing times of 8PM. [/INST] | SELECT DISTINCT T4.business_id FROM Categories AS T1 INNER JOIN Business_Categories AS T2 ON T1.category_id = T2.category_id INNER JOIN Business_Hours AS T3 ON T2.business_id = T3.business_id INNER JOIN Business AS T4 ON T3.business_id = T4.business_id WHERE T4.active = 'true' AND T3.opening_time = '7AM' AND T3.closing_time = '8PM'; |
[INST] Here is a database schema:
Attributes :
attribute_id [ INTEGER ] primary_key
attribute_name [ TEXT ]
Categories :
category_id [ INTEGER ] primary_key
category_name [ TEXT ]
Compliments :
compliment_id [ INTEGER ] primary_key
compliment_type [ TEXT ]
Days :
day_id [ INTEGER ] primary_key
day_of_week [ TEXT ]
Years :
year_id [ INTEGER ] primary_key
actual_year [ INTEGER ]
Business_Attributes :
attribute_id [ INTEGER ]
business_id [ INTEGER ]
attribute_value [ TEXT ]
Business_Categories :
business_id [ INTEGER ]
category_id [ INTEGER ]
Business_Hours :
business_id [ INTEGER ]
day_id [ INTEGER ]
opening_time [ TEXT ]
closing_time [ TEXT ]
Checkins :
business_id [ INTEGER ]
day_id [ INTEGER ]
label_time_0 [ TEXT ]
label_time_1 [ TEXT ]
label_time_2 [ TEXT ]
label_time_3 [ TEXT ]
label_time_4 [ TEXT ]
label_time_5 [ TEXT ]
label_time_6 [ TEXT ]
label_time_7 [ TEXT ]
label_time_8 [ TEXT ]
label_time_9 [ TEXT ]
label_time_10 [ TEXT ]
label_time_11 [ TEXT ]
label_time_12 [ TEXT ]
label_time_13 [ TEXT ]
label_time_14 [ TEXT ]
label_time_15 [ TEXT ]
label_time_16 [ TEXT ]
label_time_17 [ TEXT ]
label_time_18 [ TEXT ]
label_time_19 [ TEXT ]
label_time_20 [ TEXT ]
label_time_21 [ TEXT ]
label_time_22 [ TEXT ]
label_time_23 [ TEXT ]
Elite :
user_id [ INTEGER ]
year_id [ INTEGER ]
Reviews :
business_id [ INTEGER ]
user_id [ INTEGER ]
review_stars [ INTEGER ]
review_votes_funny [ TEXT ]
review_votes_useful [ TEXT ]
review_votes_cool [ TEXT ]
review_length [ TEXT ]
Tips :
business_id [ INTEGER ]
user_id [ INTEGER ]
likes [ INTEGER ]
tip_length [ TEXT ]
Users_Compliments :
compliment_id [ INTEGER ]
user_id [ INTEGER ]
number_of_compliments [ TEXT ]
Business :
business_id [ INTEGER ] primary_key
active [ TEXT ]
city [ TEXT ]
state [ TEXT ]
stars [ REAL ]
review_count [ TEXT ]
Users :
user_id [ INTEGER ] primary_key
user_yelping_since_year [ INTEGER ]
user_average_stars [ TEXT ]
user_votes_funny [ TEXT ]
user_votes_useful [ TEXT ]
user_votes_cool [ TEXT ]
user_review_count [ TEXT ]
user_fans [ TEXT ]
Please write me a SQL statement that answers the following question: How many businesses with the category named Stadiums & Arenas are rated highest? [/INST] | SELECT COUNT(T1.business_id) FROM Business_Categories AS T1 INNER JOIN Categories AS T2 ON T1.category_id = T2.category_id INNER JOIN Business AS T3 ON T1.business_id = T3.business_id WHERE T2.category_name = 'Stadiums & Arenas' AND T3.stars = ( SELECT MAX(stars) FROM Business ); |
[INST] Here is a database schema:
Attributes :
attribute_id [ INTEGER ] primary_key
attribute_name [ TEXT ]
Categories :
category_id [ INTEGER ] primary_key
category_name [ TEXT ]
Compliments :
compliment_id [ INTEGER ] primary_key
compliment_type [ TEXT ]
Days :
day_id [ INTEGER ] primary_key
day_of_week [ TEXT ]
Years :
year_id [ INTEGER ] primary_key
actual_year [ INTEGER ]
Business_Attributes :
attribute_id [ INTEGER ]
business_id [ INTEGER ]
attribute_value [ TEXT ]
Business_Categories :
business_id [ INTEGER ]
category_id [ INTEGER ]
Business_Hours :
business_id [ INTEGER ]
day_id [ INTEGER ]
opening_time [ TEXT ]
closing_time [ TEXT ]
Checkins :
business_id [ INTEGER ]
day_id [ INTEGER ]
label_time_0 [ TEXT ]
label_time_1 [ TEXT ]
label_time_2 [ TEXT ]
label_time_3 [ TEXT ]
label_time_4 [ TEXT ]
label_time_5 [ TEXT ]
label_time_6 [ TEXT ]
label_time_7 [ TEXT ]
label_time_8 [ TEXT ]
label_time_9 [ TEXT ]
label_time_10 [ TEXT ]
label_time_11 [ TEXT ]
label_time_12 [ TEXT ]
label_time_13 [ TEXT ]
label_time_14 [ TEXT ]
label_time_15 [ TEXT ]
label_time_16 [ TEXT ]
label_time_17 [ TEXT ]
label_time_18 [ TEXT ]
label_time_19 [ TEXT ]
label_time_20 [ TEXT ]
label_time_21 [ TEXT ]
label_time_22 [ TEXT ]
label_time_23 [ TEXT ]
Elite :
user_id [ INTEGER ]
year_id [ INTEGER ]
Reviews :
business_id [ INTEGER ]
user_id [ INTEGER ]
review_stars [ INTEGER ]
review_votes_funny [ TEXT ]
review_votes_useful [ TEXT ]
review_votes_cool [ TEXT ]
review_length [ TEXT ]
Tips :
business_id [ INTEGER ]
user_id [ INTEGER ]
likes [ INTEGER ]
tip_length [ TEXT ]
Users_Compliments :
compliment_id [ INTEGER ]
user_id [ INTEGER ]
number_of_compliments [ TEXT ]
Business :
business_id [ INTEGER ] primary_key
active [ TEXT ]
city [ TEXT ]
state [ TEXT ]
stars [ REAL ]
review_count [ TEXT ]
Users :
user_id [ INTEGER ] primary_key
user_yelping_since_year [ INTEGER ]
user_average_stars [ TEXT ]
user_votes_funny [ TEXT ]
user_votes_useful [ TEXT ]
user_votes_cool [ TEXT ]
user_review_count [ TEXT ]
user_fans [ TEXT ]
Please write me a SQL statement that answers the following question: How many category id have low review count and rating more than 2? [/INST] | SELECT COUNT(DISTINCT T1.category_id) FROM Categories AS T1 INNER JOIN Business_Categories AS T2 ON T1.category_id = T2.category_id INNER JOIN Business AS T3 ON T2.business_id = T3.business_id WHERE T3.review_count = 'Low' AND T3.stars > 2; |
[INST] Here is a database schema:
Attributes :
attribute_id [ INTEGER ] primary_key
attribute_name [ TEXT ]
Categories :
category_id [ INTEGER ] primary_key
category_name [ TEXT ]
Compliments :
compliment_id [ INTEGER ] primary_key
compliment_type [ TEXT ]
Days :
day_id [ INTEGER ] primary_key
day_of_week [ TEXT ]
Years :
year_id [ INTEGER ] primary_key
actual_year [ INTEGER ]
Business_Attributes :
attribute_id [ INTEGER ]
business_id [ INTEGER ]
attribute_value [ TEXT ]
Business_Categories :
business_id [ INTEGER ]
category_id [ INTEGER ]
Business_Hours :
business_id [ INTEGER ]
day_id [ INTEGER ]
opening_time [ TEXT ]
closing_time [ TEXT ]
Checkins :
business_id [ INTEGER ]
day_id [ INTEGER ]
label_time_0 [ TEXT ]
label_time_1 [ TEXT ]
label_time_2 [ TEXT ]
label_time_3 [ TEXT ]
label_time_4 [ TEXT ]
label_time_5 [ TEXT ]
label_time_6 [ TEXT ]
label_time_7 [ TEXT ]
label_time_8 [ TEXT ]
label_time_9 [ TEXT ]
label_time_10 [ TEXT ]
label_time_11 [ TEXT ]
label_time_12 [ TEXT ]
label_time_13 [ TEXT ]
label_time_14 [ TEXT ]
label_time_15 [ TEXT ]
label_time_16 [ TEXT ]
label_time_17 [ TEXT ]
label_time_18 [ TEXT ]
label_time_19 [ TEXT ]
label_time_20 [ TEXT ]
label_time_21 [ TEXT ]
label_time_22 [ TEXT ]
label_time_23 [ TEXT ]
Elite :
user_id [ INTEGER ]
year_id [ INTEGER ]
Reviews :
business_id [ INTEGER ]
user_id [ INTEGER ]
review_stars [ INTEGER ]
review_votes_funny [ TEXT ]
review_votes_useful [ TEXT ]
review_votes_cool [ TEXT ]
review_length [ TEXT ]
Tips :
business_id [ INTEGER ]
user_id [ INTEGER ]
likes [ INTEGER ]
tip_length [ TEXT ]
Users_Compliments :
compliment_id [ INTEGER ]
user_id [ INTEGER ]
number_of_compliments [ TEXT ]
Business :
business_id [ INTEGER ] primary_key
active [ TEXT ]
city [ TEXT ]
state [ TEXT ]
stars [ REAL ]
review_count [ TEXT ]
Users :
user_id [ INTEGER ] primary_key
user_yelping_since_year [ INTEGER ]
user_average_stars [ TEXT ]
user_votes_funny [ TEXT ]
user_votes_useful [ TEXT ]
user_votes_cool [ TEXT ]
user_review_count [ TEXT ]
user_fans [ TEXT ]
Please write me a SQL statement that answers the following question: Which businesses with the category name Accessories have opening hours before 7AM? [/INST] | SELECT T1.business_id FROM Business_Hours AS T1 INNER JOIN Business_Categories AS T2 ON T1.business_id = T2.business_id INNER JOIN Categories AS T3 ON T2.category_id = T3.category_id WHERE T3.category_name = 'Accessories' AND SUBSTR(T1.opening_time, -4, 2) * 1 < 7 AND T1.opening_time LIKE '%AM'; |
[INST] Here is a database schema:
Attributes :
attribute_id [ INTEGER ] primary_key
attribute_name [ TEXT ]
Categories :
category_id [ INTEGER ] primary_key
category_name [ TEXT ]
Compliments :
compliment_id [ INTEGER ] primary_key
compliment_type [ TEXT ]
Days :
day_id [ INTEGER ] primary_key
day_of_week [ TEXT ]
Years :
year_id [ INTEGER ] primary_key
actual_year [ INTEGER ]
Business_Attributes :
attribute_id [ INTEGER ]
business_id [ INTEGER ]
attribute_value [ TEXT ]
Business_Categories :
business_id [ INTEGER ]
category_id [ INTEGER ]
Business_Hours :
business_id [ INTEGER ]
day_id [ INTEGER ]
opening_time [ TEXT ]
closing_time [ TEXT ]
Checkins :
business_id [ INTEGER ]
day_id [ INTEGER ]
label_time_0 [ TEXT ]
label_time_1 [ TEXT ]
label_time_2 [ TEXT ]
label_time_3 [ TEXT ]
label_time_4 [ TEXT ]
label_time_5 [ TEXT ]
label_time_6 [ TEXT ]
label_time_7 [ TEXT ]
label_time_8 [ TEXT ]
label_time_9 [ TEXT ]
label_time_10 [ TEXT ]
label_time_11 [ TEXT ]
label_time_12 [ TEXT ]
label_time_13 [ TEXT ]
label_time_14 [ TEXT ]
label_time_15 [ TEXT ]
label_time_16 [ TEXT ]
label_time_17 [ TEXT ]
label_time_18 [ TEXT ]
label_time_19 [ TEXT ]
label_time_20 [ TEXT ]
label_time_21 [ TEXT ]
label_time_22 [ TEXT ]
label_time_23 [ TEXT ]
Elite :
user_id [ INTEGER ]
year_id [ INTEGER ]
Reviews :
business_id [ INTEGER ]
user_id [ INTEGER ]
review_stars [ INTEGER ]
review_votes_funny [ TEXT ]
review_votes_useful [ TEXT ]
review_votes_cool [ TEXT ]
review_length [ TEXT ]
Tips :
business_id [ INTEGER ]
user_id [ INTEGER ]
likes [ INTEGER ]
tip_length [ TEXT ]
Users_Compliments :
compliment_id [ INTEGER ]
user_id [ INTEGER ]
number_of_compliments [ TEXT ]
Business :
business_id [ INTEGER ] primary_key
active [ TEXT ]
city [ TEXT ]
state [ TEXT ]
stars [ REAL ]
review_count [ TEXT ]
Users :
user_id [ INTEGER ] primary_key
user_yelping_since_year [ INTEGER ]
user_average_stars [ TEXT ]
user_votes_funny [ TEXT ]
user_votes_useful [ TEXT ]
user_votes_cool [ TEXT ]
user_review_count [ TEXT ]
user_fans [ TEXT ]
Please write me a SQL statement that answers the following question: Among the active businesses in Arizona, how many businesses work after 12PM? [/INST] | SELECT COUNT(DISTINCT T2.business_id) FROM Business_Hours AS T1 INNER JOIN Business AS T2 ON T1.business_id = T2.business_id INNER JOIN Business_Categories AS T3 ON T2.business_id = T3.business_id INNER JOIN Categories AS T4 ON T3.category_id = T4.category_id WHERE T2.active = 'true' AND T2.state = 'AZ' AND T1.opening_time > '12PM'; |
[INST] Here is a database schema:
Attributes :
attribute_id [ INTEGER ] primary_key
attribute_name [ TEXT ]
Categories :
category_id [ INTEGER ] primary_key
category_name [ TEXT ]
Compliments :
compliment_id [ INTEGER ] primary_key
compliment_type [ TEXT ]
Days :
day_id [ INTEGER ] primary_key
day_of_week [ TEXT ]
Years :
year_id [ INTEGER ] primary_key
actual_year [ INTEGER ]
Business_Attributes :
attribute_id [ INTEGER ]
business_id [ INTEGER ]
attribute_value [ TEXT ]
Business_Categories :
business_id [ INTEGER ]
category_id [ INTEGER ]
Business_Hours :
business_id [ INTEGER ]
day_id [ INTEGER ]
opening_time [ TEXT ]
closing_time [ TEXT ]
Checkins :
business_id [ INTEGER ]
day_id [ INTEGER ]
label_time_0 [ TEXT ]
label_time_1 [ TEXT ]
label_time_2 [ TEXT ]
label_time_3 [ TEXT ]
label_time_4 [ TEXT ]
label_time_5 [ TEXT ]
label_time_6 [ TEXT ]
label_time_7 [ TEXT ]
label_time_8 [ TEXT ]
label_time_9 [ TEXT ]
label_time_10 [ TEXT ]
label_time_11 [ TEXT ]
label_time_12 [ TEXT ]
label_time_13 [ TEXT ]
label_time_14 [ TEXT ]
label_time_15 [ TEXT ]
label_time_16 [ TEXT ]
label_time_17 [ TEXT ]
label_time_18 [ TEXT ]
label_time_19 [ TEXT ]
label_time_20 [ TEXT ]
label_time_21 [ TEXT ]
label_time_22 [ TEXT ]
label_time_23 [ TEXT ]
Elite :
user_id [ INTEGER ]
year_id [ INTEGER ]
Reviews :
business_id [ INTEGER ]
user_id [ INTEGER ]
review_stars [ INTEGER ]
review_votes_funny [ TEXT ]
review_votes_useful [ TEXT ]
review_votes_cool [ TEXT ]
review_length [ TEXT ]
Tips :
business_id [ INTEGER ]
user_id [ INTEGER ]
likes [ INTEGER ]
tip_length [ TEXT ]
Users_Compliments :
compliment_id [ INTEGER ]
user_id [ INTEGER ]
number_of_compliments [ TEXT ]
Business :
business_id [ INTEGER ] primary_key
active [ TEXT ]
city [ TEXT ]
state [ TEXT ]
stars [ REAL ]
review_count [ TEXT ]
Users :
user_id [ INTEGER ] primary_key
user_yelping_since_year [ INTEGER ]
user_average_stars [ TEXT ]
user_votes_funny [ TEXT ]
user_votes_useful [ TEXT ]
user_votes_cool [ TEXT ]
user_review_count [ TEXT ]
user_fans [ TEXT ]
Please write me a SQL statement that answers the following question: Please provide the name of businesses with user id "16328". [/INST] | SELECT T1.category_name FROM Categories AS T1 INNER JOIN Business_Categories AS T2 ON T1.category_id = T2.category_id INNER JOIN Tips AS T3 ON T2.business_id = T3.business_id WHERE T3.user_id = 16328; |
[INST] Here is a database schema:
Attributes :
attribute_id [ INTEGER ] primary_key
attribute_name [ TEXT ]
Categories :
category_id [ INTEGER ] primary_key
category_name [ TEXT ]
Compliments :
compliment_id [ INTEGER ] primary_key
compliment_type [ TEXT ]
Days :
day_id [ INTEGER ] primary_key
day_of_week [ TEXT ]
Years :
year_id [ INTEGER ] primary_key
actual_year [ INTEGER ]
Business_Attributes :
attribute_id [ INTEGER ]
business_id [ INTEGER ]
attribute_value [ TEXT ]
Business_Categories :
business_id [ INTEGER ]
category_id [ INTEGER ]
Business_Hours :
business_id [ INTEGER ]
day_id [ INTEGER ]
opening_time [ TEXT ]
closing_time [ TEXT ]
Checkins :
business_id [ INTEGER ]
day_id [ INTEGER ]
label_time_0 [ TEXT ]
label_time_1 [ TEXT ]
label_time_2 [ TEXT ]
label_time_3 [ TEXT ]
label_time_4 [ TEXT ]
label_time_5 [ TEXT ]
label_time_6 [ TEXT ]
label_time_7 [ TEXT ]
label_time_8 [ TEXT ]
label_time_9 [ TEXT ]
label_time_10 [ TEXT ]
label_time_11 [ TEXT ]
label_time_12 [ TEXT ]
label_time_13 [ TEXT ]
label_time_14 [ TEXT ]
label_time_15 [ TEXT ]
label_time_16 [ TEXT ]
label_time_17 [ TEXT ]
label_time_18 [ TEXT ]
label_time_19 [ TEXT ]
label_time_20 [ TEXT ]
label_time_21 [ TEXT ]
label_time_22 [ TEXT ]
label_time_23 [ TEXT ]
Elite :
user_id [ INTEGER ]
year_id [ INTEGER ]
Reviews :
business_id [ INTEGER ]
user_id [ INTEGER ]
review_stars [ INTEGER ]
review_votes_funny [ TEXT ]
review_votes_useful [ TEXT ]
review_votes_cool [ TEXT ]
review_length [ TEXT ]
Tips :
business_id [ INTEGER ]
user_id [ INTEGER ]
likes [ INTEGER ]
tip_length [ TEXT ]
Users_Compliments :
compliment_id [ INTEGER ]
user_id [ INTEGER ]
number_of_compliments [ TEXT ]
Business :
business_id [ INTEGER ] primary_key
active [ TEXT ]
city [ TEXT ]
state [ TEXT ]
stars [ REAL ]
review_count [ TEXT ]
Users :
user_id [ INTEGER ] primary_key
user_yelping_since_year [ INTEGER ]
user_average_stars [ TEXT ]
user_votes_funny [ TEXT ]
user_votes_useful [ TEXT ]
user_votes_cool [ TEXT ]
user_review_count [ TEXT ]
user_fans [ TEXT ]
Please write me a SQL statement that answers the following question: How many businesses have the category named food? List those businesses and find the percentage of businesses with less than 2 stars. [/INST] | SELECT T3.business_id, CAST((( SELECT COUNT(business_id) FROM Business WHERE stars < 2 ) - ( SELECT COUNT(business_id) FROM Business WHERE stars > 2 )) AS REAL) * 100 / ( SELECT COUNT(stars) FROM Business ) FROM Business_Categories AS T1 INNER JOIN Categories AS T2 ON T1.category_id = T2.category_id INNER JOIN Business AS T3 ON T1.business_id = T3.business_id WHERE T2.category_name = 'Food'; |
[INST] Here is a database schema:
Attributes :
attribute_id [ INTEGER ] primary_key
attribute_name [ TEXT ]
Categories :
category_id [ INTEGER ] primary_key
category_name [ TEXT ]
Compliments :
compliment_id [ INTEGER ] primary_key
compliment_type [ TEXT ]
Days :
day_id [ INTEGER ] primary_key
day_of_week [ TEXT ]
Years :
year_id [ INTEGER ] primary_key
actual_year [ INTEGER ]
Business_Attributes :
attribute_id [ INTEGER ]
business_id [ INTEGER ]
attribute_value [ TEXT ]
Business_Categories :
business_id [ INTEGER ]
category_id [ INTEGER ]
Business_Hours :
business_id [ INTEGER ]
day_id [ INTEGER ]
opening_time [ TEXT ]
closing_time [ TEXT ]
Checkins :
business_id [ INTEGER ]
day_id [ INTEGER ]
label_time_0 [ TEXT ]
label_time_1 [ TEXT ]
label_time_2 [ TEXT ]
label_time_3 [ TEXT ]
label_time_4 [ TEXT ]
label_time_5 [ TEXT ]
label_time_6 [ TEXT ]
label_time_7 [ TEXT ]
label_time_8 [ TEXT ]
label_time_9 [ TEXT ]
label_time_10 [ TEXT ]
label_time_11 [ TEXT ]
label_time_12 [ TEXT ]
label_time_13 [ TEXT ]
label_time_14 [ TEXT ]
label_time_15 [ TEXT ]
label_time_16 [ TEXT ]
label_time_17 [ TEXT ]
label_time_18 [ TEXT ]
label_time_19 [ TEXT ]
label_time_20 [ TEXT ]
label_time_21 [ TEXT ]
label_time_22 [ TEXT ]
label_time_23 [ TEXT ]
Elite :
user_id [ INTEGER ]
year_id [ INTEGER ]
Reviews :
business_id [ INTEGER ]
user_id [ INTEGER ]
review_stars [ INTEGER ]
review_votes_funny [ TEXT ]
review_votes_useful [ TEXT ]
review_votes_cool [ TEXT ]
review_length [ TEXT ]
Tips :
business_id [ INTEGER ]
user_id [ INTEGER ]
likes [ INTEGER ]
tip_length [ TEXT ]
Users_Compliments :
compliment_id [ INTEGER ]
user_id [ INTEGER ]
number_of_compliments [ TEXT ]
Business :
business_id [ INTEGER ] primary_key
active [ TEXT ]
city [ TEXT ]
state [ TEXT ]
stars [ REAL ]
review_count [ TEXT ]
Users :
user_id [ INTEGER ] primary_key
user_yelping_since_year [ INTEGER ]
user_average_stars [ TEXT ]
user_votes_funny [ TEXT ]
user_votes_useful [ TEXT ]
user_votes_cool [ TEXT ]
user_review_count [ TEXT ]
user_fans [ TEXT ]
Please write me a SQL statement that answers the following question: Calculate the percentage of businesses with the category name food that are open from 7AM to 8PM in the businesses with the same time. [/INST] | SELECT CAST(SUM(CASE WHEN T3.category_name = 'Food' THEN 1 ELSE 0 END) AS REAL) * 100 / COUNT(T3.category_name) FROM Business_Categories AS T1 INNER JOIN Business AS T2 ON T1.business_id = T2.business_id INNER JOIN Categories AS T3 ON T1.category_id = T3.category_id; |
[INST] Here is a database schema:
Attributes :
attribute_id [ INTEGER ] primary_key
attribute_name [ TEXT ]
Categories :
category_id [ INTEGER ] primary_key
category_name [ TEXT ]
Compliments :
compliment_id [ INTEGER ] primary_key
compliment_type [ TEXT ]
Days :
day_id [ INTEGER ] primary_key
day_of_week [ TEXT ]
Years :
year_id [ INTEGER ] primary_key
actual_year [ INTEGER ]
Business_Attributes :
attribute_id [ INTEGER ]
business_id [ INTEGER ]
attribute_value [ TEXT ]
Business_Categories :
business_id [ INTEGER ]
category_id [ INTEGER ]
Business_Hours :
business_id [ INTEGER ]
day_id [ INTEGER ]
opening_time [ TEXT ]
closing_time [ TEXT ]
Checkins :
business_id [ INTEGER ]
day_id [ INTEGER ]
label_time_0 [ TEXT ]
label_time_1 [ TEXT ]
label_time_2 [ TEXT ]
label_time_3 [ TEXT ]
label_time_4 [ TEXT ]
label_time_5 [ TEXT ]
label_time_6 [ TEXT ]
label_time_7 [ TEXT ]
label_time_8 [ TEXT ]
label_time_9 [ TEXT ]
label_time_10 [ TEXT ]
label_time_11 [ TEXT ]
label_time_12 [ TEXT ]
label_time_13 [ TEXT ]
label_time_14 [ TEXT ]
label_time_15 [ TEXT ]
label_time_16 [ TEXT ]
label_time_17 [ TEXT ]
label_time_18 [ TEXT ]
label_time_19 [ TEXT ]
label_time_20 [ TEXT ]
label_time_21 [ TEXT ]
label_time_22 [ TEXT ]
label_time_23 [ TEXT ]
Elite :
user_id [ INTEGER ]
year_id [ INTEGER ]
Reviews :
business_id [ INTEGER ]
user_id [ INTEGER ]
review_stars [ INTEGER ]
review_votes_funny [ TEXT ]
review_votes_useful [ TEXT ]
review_votes_cool [ TEXT ]
review_length [ TEXT ]
Tips :
business_id [ INTEGER ]
user_id [ INTEGER ]
likes [ INTEGER ]
tip_length [ TEXT ]
Users_Compliments :
compliment_id [ INTEGER ]
user_id [ INTEGER ]
number_of_compliments [ TEXT ]
Business :
business_id [ INTEGER ] primary_key
active [ TEXT ]
city [ TEXT ]
state [ TEXT ]
stars [ REAL ]
review_count [ TEXT ]
Users :
user_id [ INTEGER ] primary_key
user_yelping_since_year [ INTEGER ]
user_average_stars [ TEXT ]
user_votes_funny [ TEXT ]
user_votes_useful [ TEXT ]
user_votes_cool [ TEXT ]
user_review_count [ TEXT ]
user_fans [ TEXT ]
Please write me a SQL statement that answers the following question: Write down the number of running business with each review count in Cave Creek city. [/INST] | SELECT SUM(CASE WHEN review_count = 'High' THEN 1 ELSE 0 END) AS high , SUM(CASE WHEN review_count = 'Medium' THEN 1 ELSE 0 END) AS Medium , SUM(CASE WHEN review_count = 'Low' THEN 1 ELSE 0 END) AS low FROM Business WHERE city = 'Cave Creek' AND active = 'true'; |
[INST] Here is a database schema:
Attributes :
attribute_id [ INTEGER ] primary_key
attribute_name [ TEXT ]
Categories :
category_id [ INTEGER ] primary_key
category_name [ TEXT ]
Compliments :
compliment_id [ INTEGER ] primary_key
compliment_type [ TEXT ]
Days :
day_id [ INTEGER ] primary_key
day_of_week [ TEXT ]
Years :
year_id [ INTEGER ] primary_key
actual_year [ INTEGER ]
Business_Attributes :
attribute_id [ INTEGER ]
business_id [ INTEGER ]
attribute_value [ TEXT ]
Business_Categories :
business_id [ INTEGER ]
category_id [ INTEGER ]
Business_Hours :
business_id [ INTEGER ]
day_id [ INTEGER ]
opening_time [ TEXT ]
closing_time [ TEXT ]
Checkins :
business_id [ INTEGER ]
day_id [ INTEGER ]
label_time_0 [ TEXT ]
label_time_1 [ TEXT ]
label_time_2 [ TEXT ]
label_time_3 [ TEXT ]
label_time_4 [ TEXT ]
label_time_5 [ TEXT ]
label_time_6 [ TEXT ]
label_time_7 [ TEXT ]
label_time_8 [ TEXT ]
label_time_9 [ TEXT ]
label_time_10 [ TEXT ]
label_time_11 [ TEXT ]
label_time_12 [ TEXT ]
label_time_13 [ TEXT ]
label_time_14 [ TEXT ]
label_time_15 [ TEXT ]
label_time_16 [ TEXT ]
label_time_17 [ TEXT ]
label_time_18 [ TEXT ]
label_time_19 [ TEXT ]
label_time_20 [ TEXT ]
label_time_21 [ TEXT ]
label_time_22 [ TEXT ]
label_time_23 [ TEXT ]
Elite :
user_id [ INTEGER ]
year_id [ INTEGER ]
Reviews :
business_id [ INTEGER ]
user_id [ INTEGER ]
review_stars [ INTEGER ]
review_votes_funny [ TEXT ]
review_votes_useful [ TEXT ]
review_votes_cool [ TEXT ]
review_length [ TEXT ]
Tips :
business_id [ INTEGER ]
user_id [ INTEGER ]
likes [ INTEGER ]
tip_length [ TEXT ]
Users_Compliments :
compliment_id [ INTEGER ]
user_id [ INTEGER ]
number_of_compliments [ TEXT ]
Business :
business_id [ INTEGER ] primary_key
active [ TEXT ]
city [ TEXT ]
state [ TEXT ]
stars [ REAL ]
review_count [ TEXT ]
Users :
user_id [ INTEGER ] primary_key
user_yelping_since_year [ INTEGER ]
user_average_stars [ TEXT ]
user_votes_funny [ TEXT ]
user_votes_useful [ TEXT ]
user_votes_cool [ TEXT ]
user_review_count [ TEXT ]
user_fans [ TEXT ]
Please write me a SQL statement that answers the following question: Calculate the yearly average user who started using Yelp from the year of 2005 to 2014. [/INST] | SELECT AVG(user_id) FROM Users WHERE user_yelping_since_year >= 2005 AND user_yelping_since_year <= 2015; |
[INST] Here is a database schema:
Attributes :
attribute_id [ INTEGER ] primary_key
attribute_name [ TEXT ]
Categories :
category_id [ INTEGER ] primary_key
category_name [ TEXT ]
Compliments :
compliment_id [ INTEGER ] primary_key
compliment_type [ TEXT ]
Days :
day_id [ INTEGER ] primary_key
day_of_week [ TEXT ]
Years :
year_id [ INTEGER ] primary_key
actual_year [ INTEGER ]
Business_Attributes :
attribute_id [ INTEGER ]
business_id [ INTEGER ]
attribute_value [ TEXT ]
Business_Categories :
business_id [ INTEGER ]
category_id [ INTEGER ]
Business_Hours :
business_id [ INTEGER ]
day_id [ INTEGER ]
opening_time [ TEXT ]
closing_time [ TEXT ]
Checkins :
business_id [ INTEGER ]
day_id [ INTEGER ]
label_time_0 [ TEXT ]
label_time_1 [ TEXT ]
label_time_2 [ TEXT ]
label_time_3 [ TEXT ]
label_time_4 [ TEXT ]
label_time_5 [ TEXT ]
label_time_6 [ TEXT ]
label_time_7 [ TEXT ]
label_time_8 [ TEXT ]
label_time_9 [ TEXT ]
label_time_10 [ TEXT ]
label_time_11 [ TEXT ]
label_time_12 [ TEXT ]
label_time_13 [ TEXT ]
label_time_14 [ TEXT ]
label_time_15 [ TEXT ]
label_time_16 [ TEXT ]
label_time_17 [ TEXT ]
label_time_18 [ TEXT ]
label_time_19 [ TEXT ]
label_time_20 [ TEXT ]
label_time_21 [ TEXT ]
label_time_22 [ TEXT ]
label_time_23 [ TEXT ]
Elite :
user_id [ INTEGER ]
year_id [ INTEGER ]
Reviews :
business_id [ INTEGER ]
user_id [ INTEGER ]
review_stars [ INTEGER ]
review_votes_funny [ TEXT ]
review_votes_useful [ TEXT ]
review_votes_cool [ TEXT ]
review_length [ TEXT ]
Tips :
business_id [ INTEGER ]
user_id [ INTEGER ]
likes [ INTEGER ]
tip_length [ TEXT ]
Users_Compliments :
compliment_id [ INTEGER ]
user_id [ INTEGER ]
number_of_compliments [ TEXT ]
Business :
business_id [ INTEGER ] primary_key
active [ TEXT ]
city [ TEXT ]
state [ TEXT ]
stars [ REAL ]
review_count [ TEXT ]
Users :
user_id [ INTEGER ] primary_key
user_yelping_since_year [ INTEGER ]
user_average_stars [ TEXT ]
user_votes_funny [ TEXT ]
user_votes_useful [ TEXT ]
user_votes_cool [ TEXT ]
user_review_count [ TEXT ]
user_fans [ TEXT ]
Please write me a SQL statement that answers the following question: What is the active and inactive ratio of the business with the review count of low. [/INST] | SELECT CAST(SUM(CASE WHEN active = 'true' THEN 1 ELSE 0 END) AS REAL) / SUM(CASE WHEN active = 'false' THEN 1 ELSE 0 END) AS radio FROM Business WHERE review_count = 'Low'; |
[INST] Here is a database schema:
Attributes :
attribute_id [ INTEGER ] primary_key
attribute_name [ TEXT ]
Categories :
category_id [ INTEGER ] primary_key
category_name [ TEXT ]
Compliments :
compliment_id [ INTEGER ] primary_key
compliment_type [ TEXT ]
Days :
day_id [ INTEGER ] primary_key
day_of_week [ TEXT ]
Years :
year_id [ INTEGER ] primary_key
actual_year [ INTEGER ]
Business_Attributes :
attribute_id [ INTEGER ]
business_id [ INTEGER ]
attribute_value [ TEXT ]
Business_Categories :
business_id [ INTEGER ]
category_id [ INTEGER ]
Business_Hours :
business_id [ INTEGER ]
day_id [ INTEGER ]
opening_time [ TEXT ]
closing_time [ TEXT ]
Checkins :
business_id [ INTEGER ]
day_id [ INTEGER ]
label_time_0 [ TEXT ]
label_time_1 [ TEXT ]
label_time_2 [ TEXT ]
label_time_3 [ TEXT ]
label_time_4 [ TEXT ]
label_time_5 [ TEXT ]
label_time_6 [ TEXT ]
label_time_7 [ TEXT ]
label_time_8 [ TEXT ]
label_time_9 [ TEXT ]
label_time_10 [ TEXT ]
label_time_11 [ TEXT ]
label_time_12 [ TEXT ]
label_time_13 [ TEXT ]
label_time_14 [ TEXT ]
label_time_15 [ TEXT ]
label_time_16 [ TEXT ]
label_time_17 [ TEXT ]
label_time_18 [ TEXT ]
label_time_19 [ TEXT ]
label_time_20 [ TEXT ]
label_time_21 [ TEXT ]
label_time_22 [ TEXT ]
label_time_23 [ TEXT ]
Elite :
user_id [ INTEGER ]
year_id [ INTEGER ]
Reviews :
business_id [ INTEGER ]
user_id [ INTEGER ]
review_stars [ INTEGER ]
review_votes_funny [ TEXT ]
review_votes_useful [ TEXT ]
review_votes_cool [ TEXT ]
review_length [ TEXT ]
Tips :
business_id [ INTEGER ]
user_id [ INTEGER ]
likes [ INTEGER ]
tip_length [ TEXT ]
Users_Compliments :
compliment_id [ INTEGER ]
user_id [ INTEGER ]
number_of_compliments [ TEXT ]
Business :
business_id [ INTEGER ] primary_key
active [ TEXT ]
city [ TEXT ]
state [ TEXT ]
stars [ REAL ]
review_count [ TEXT ]
Users :
user_id [ INTEGER ] primary_key
user_yelping_since_year [ INTEGER ]
user_average_stars [ TEXT ]
user_votes_funny [ TEXT ]
user_votes_useful [ TEXT ]
user_votes_cool [ TEXT ]
user_review_count [ TEXT ]
user_fans [ TEXT ]
Please write me a SQL statement that answers the following question: List any five of user ID who became elite user in 2006. [/INST] | SELECT user_id FROM Elite WHERE year_id = 2006 LIMIT 5; |
[INST] Here is a database schema:
Attributes :
attribute_id [ INTEGER ] primary_key
attribute_name [ TEXT ]
Categories :
category_id [ INTEGER ] primary_key
category_name [ TEXT ]
Compliments :
compliment_id [ INTEGER ] primary_key
compliment_type [ TEXT ]
Days :
day_id [ INTEGER ] primary_key
day_of_week [ TEXT ]
Years :
year_id [ INTEGER ] primary_key
actual_year [ INTEGER ]
Business_Attributes :
attribute_id [ INTEGER ]
business_id [ INTEGER ]
attribute_value [ TEXT ]
Business_Categories :
business_id [ INTEGER ]
category_id [ INTEGER ]
Business_Hours :
business_id [ INTEGER ]
day_id [ INTEGER ]
opening_time [ TEXT ]
closing_time [ TEXT ]
Checkins :
business_id [ INTEGER ]
day_id [ INTEGER ]
label_time_0 [ TEXT ]
label_time_1 [ TEXT ]
label_time_2 [ TEXT ]
label_time_3 [ TEXT ]
label_time_4 [ TEXT ]
label_time_5 [ TEXT ]
label_time_6 [ TEXT ]
label_time_7 [ TEXT ]
label_time_8 [ TEXT ]
label_time_9 [ TEXT ]
label_time_10 [ TEXT ]
label_time_11 [ TEXT ]
label_time_12 [ TEXT ]
label_time_13 [ TEXT ]
label_time_14 [ TEXT ]
label_time_15 [ TEXT ]
label_time_16 [ TEXT ]
label_time_17 [ TEXT ]
label_time_18 [ TEXT ]
label_time_19 [ TEXT ]
label_time_20 [ TEXT ]
label_time_21 [ TEXT ]
label_time_22 [ TEXT ]
label_time_23 [ TEXT ]
Elite :
user_id [ INTEGER ]
year_id [ INTEGER ]
Reviews :
business_id [ INTEGER ]
user_id [ INTEGER ]
review_stars [ INTEGER ]
review_votes_funny [ TEXT ]
review_votes_useful [ TEXT ]
review_votes_cool [ TEXT ]
review_length [ TEXT ]
Tips :
business_id [ INTEGER ]
user_id [ INTEGER ]
likes [ INTEGER ]
tip_length [ TEXT ]
Users_Compliments :
compliment_id [ INTEGER ]
user_id [ INTEGER ]
number_of_compliments [ TEXT ]
Business :
business_id [ INTEGER ] primary_key
active [ TEXT ]
city [ TEXT ]
state [ TEXT ]
stars [ REAL ]
review_count [ TEXT ]
Users :
user_id [ INTEGER ] primary_key
user_yelping_since_year [ INTEGER ]
user_average_stars [ TEXT ]
user_votes_funny [ TEXT ]
user_votes_useful [ TEXT ]
user_votes_cool [ TEXT ]
user_review_count [ TEXT ]
user_fans [ TEXT ]
Please write me a SQL statement that answers the following question: Write down the any five of ID and name of category that starts with alphabet "P". [/INST] | SELECT category_id, category_name FROM Categories WHERE category_name LIKE 'P%' LIMIT 5; |
[INST] Here is a database schema:
Attributes :
attribute_id [ INTEGER ] primary_key
attribute_name [ TEXT ]
Categories :
category_id [ INTEGER ] primary_key
category_name [ TEXT ]
Compliments :
compliment_id [ INTEGER ] primary_key
compliment_type [ TEXT ]
Days :
day_id [ INTEGER ] primary_key
day_of_week [ TEXT ]
Years :
year_id [ INTEGER ] primary_key
actual_year [ INTEGER ]
Business_Attributes :
attribute_id [ INTEGER ]
business_id [ INTEGER ]
attribute_value [ TEXT ]
Business_Categories :
business_id [ INTEGER ]
category_id [ INTEGER ]
Business_Hours :
business_id [ INTEGER ]
day_id [ INTEGER ]
opening_time [ TEXT ]
closing_time [ TEXT ]
Checkins :
business_id [ INTEGER ]
day_id [ INTEGER ]
label_time_0 [ TEXT ]
label_time_1 [ TEXT ]
label_time_2 [ TEXT ]
label_time_3 [ TEXT ]
label_time_4 [ TEXT ]
label_time_5 [ TEXT ]
label_time_6 [ TEXT ]
label_time_7 [ TEXT ]
label_time_8 [ TEXT ]
label_time_9 [ TEXT ]
label_time_10 [ TEXT ]
label_time_11 [ TEXT ]
label_time_12 [ TEXT ]
label_time_13 [ TEXT ]
label_time_14 [ TEXT ]
label_time_15 [ TEXT ]
label_time_16 [ TEXT ]
label_time_17 [ TEXT ]
label_time_18 [ TEXT ]
label_time_19 [ TEXT ]
label_time_20 [ TEXT ]
label_time_21 [ TEXT ]
label_time_22 [ TEXT ]
label_time_23 [ TEXT ]
Elite :
user_id [ INTEGER ]
year_id [ INTEGER ]
Reviews :
business_id [ INTEGER ]
user_id [ INTEGER ]
review_stars [ INTEGER ]
review_votes_funny [ TEXT ]
review_votes_useful [ TEXT ]
review_votes_cool [ TEXT ]
review_length [ TEXT ]
Tips :
business_id [ INTEGER ]
user_id [ INTEGER ]
likes [ INTEGER ]
tip_length [ TEXT ]
Users_Compliments :
compliment_id [ INTEGER ]
user_id [ INTEGER ]
number_of_compliments [ TEXT ]
Business :
business_id [ INTEGER ] primary_key
active [ TEXT ]
city [ TEXT ]
state [ TEXT ]
stars [ REAL ]
review_count [ TEXT ]
Users :
user_id [ INTEGER ] primary_key
user_yelping_since_year [ INTEGER ]
user_average_stars [ TEXT ]
user_votes_funny [ TEXT ]
user_votes_useful [ TEXT ]
user_votes_cool [ TEXT ]
user_review_count [ TEXT ]
user_fans [ TEXT ]
Please write me a SQL statement that answers the following question: Provide the list of user ID along with review star of which has the review length of medium with business ID of 35. [/INST] | SELECT user_id, review_stars FROM Reviews WHERE business_id = 15 AND review_length = 'Medium'; |
[INST] Here is a database schema:
Attributes :
attribute_id [ INTEGER ] primary_key
attribute_name [ TEXT ]
Categories :
category_id [ INTEGER ] primary_key
category_name [ TEXT ]
Compliments :
compliment_id [ INTEGER ] primary_key
compliment_type [ TEXT ]
Days :
day_id [ INTEGER ] primary_key
day_of_week [ TEXT ]
Years :
year_id [ INTEGER ] primary_key
actual_year [ INTEGER ]
Business_Attributes :
attribute_id [ INTEGER ]
business_id [ INTEGER ]
attribute_value [ TEXT ]
Business_Categories :
business_id [ INTEGER ]
category_id [ INTEGER ]
Business_Hours :
business_id [ INTEGER ]
day_id [ INTEGER ]
opening_time [ TEXT ]
closing_time [ TEXT ]
Checkins :
business_id [ INTEGER ]
day_id [ INTEGER ]
label_time_0 [ TEXT ]
label_time_1 [ TEXT ]
label_time_2 [ TEXT ]
label_time_3 [ TEXT ]
label_time_4 [ TEXT ]
label_time_5 [ TEXT ]
label_time_6 [ TEXT ]
label_time_7 [ TEXT ]
label_time_8 [ TEXT ]
label_time_9 [ TEXT ]
label_time_10 [ TEXT ]
label_time_11 [ TEXT ]
label_time_12 [ TEXT ]
label_time_13 [ TEXT ]
label_time_14 [ TEXT ]
label_time_15 [ TEXT ]
label_time_16 [ TEXT ]
label_time_17 [ TEXT ]
label_time_18 [ TEXT ]
label_time_19 [ TEXT ]
label_time_20 [ TEXT ]
label_time_21 [ TEXT ]
label_time_22 [ TEXT ]
label_time_23 [ TEXT ]
Elite :
user_id [ INTEGER ]
year_id [ INTEGER ]
Reviews :
business_id [ INTEGER ]
user_id [ INTEGER ]
review_stars [ INTEGER ]
review_votes_funny [ TEXT ]
review_votes_useful [ TEXT ]
review_votes_cool [ TEXT ]
review_length [ TEXT ]
Tips :
business_id [ INTEGER ]
user_id [ INTEGER ]
likes [ INTEGER ]
tip_length [ TEXT ]
Users_Compliments :
compliment_id [ INTEGER ]
user_id [ INTEGER ]
number_of_compliments [ TEXT ]
Business :
business_id [ INTEGER ] primary_key
active [ TEXT ]
city [ TEXT ]
state [ TEXT ]
stars [ REAL ]
review_count [ TEXT ]
Users :
user_id [ INTEGER ] primary_key
user_yelping_since_year [ INTEGER ]
user_average_stars [ TEXT ]
user_votes_funny [ TEXT ]
user_votes_useful [ TEXT ]
user_votes_cool [ TEXT ]
user_review_count [ TEXT ]
user_fans [ TEXT ]
Please write me a SQL statement that answers the following question: List down the business ID and attribute value of the attribute name of "payment_types_visa". [/INST] | SELECT T2.business_id, T2.attribute_value FROM Attributes AS T1 INNER JOIN Business_Attributes AS T2 ON T1.attribute_id = T2.attribute_id WHERE T1.attribute_name = 'payment_types_visa'; |
[INST] Here is a database schema:
Attributes :
attribute_id [ INTEGER ] primary_key
attribute_name [ TEXT ]
Categories :
category_id [ INTEGER ] primary_key
category_name [ TEXT ]
Compliments :
compliment_id [ INTEGER ] primary_key
compliment_type [ TEXT ]
Days :
day_id [ INTEGER ] primary_key
day_of_week [ TEXT ]
Years :
year_id [ INTEGER ] primary_key
actual_year [ INTEGER ]
Business_Attributes :
attribute_id [ INTEGER ]
business_id [ INTEGER ]
attribute_value [ TEXT ]
Business_Categories :
business_id [ INTEGER ]
category_id [ INTEGER ]
Business_Hours :
business_id [ INTEGER ]
day_id [ INTEGER ]
opening_time [ TEXT ]
closing_time [ TEXT ]
Checkins :
business_id [ INTEGER ]
day_id [ INTEGER ]
label_time_0 [ TEXT ]
label_time_1 [ TEXT ]
label_time_2 [ TEXT ]
label_time_3 [ TEXT ]
label_time_4 [ TEXT ]
label_time_5 [ TEXT ]
label_time_6 [ TEXT ]
label_time_7 [ TEXT ]
label_time_8 [ TEXT ]
label_time_9 [ TEXT ]
label_time_10 [ TEXT ]
label_time_11 [ TEXT ]
label_time_12 [ TEXT ]
label_time_13 [ TEXT ]
label_time_14 [ TEXT ]
label_time_15 [ TEXT ]
label_time_16 [ TEXT ]
label_time_17 [ TEXT ]
label_time_18 [ TEXT ]
label_time_19 [ TEXT ]
label_time_20 [ TEXT ]
label_time_21 [ TEXT ]
label_time_22 [ TEXT ]
label_time_23 [ TEXT ]
Elite :
user_id [ INTEGER ]
year_id [ INTEGER ]
Reviews :
business_id [ INTEGER ]
user_id [ INTEGER ]
review_stars [ INTEGER ]
review_votes_funny [ TEXT ]
review_votes_useful [ TEXT ]
review_votes_cool [ TEXT ]
review_length [ TEXT ]
Tips :
business_id [ INTEGER ]
user_id [ INTEGER ]
likes [ INTEGER ]
tip_length [ TEXT ]
Users_Compliments :
compliment_id [ INTEGER ]
user_id [ INTEGER ]
number_of_compliments [ TEXT ]
Business :
business_id [ INTEGER ] primary_key
active [ TEXT ]
city [ TEXT ]
state [ TEXT ]
stars [ REAL ]
review_count [ TEXT ]
Users :
user_id [ INTEGER ] primary_key
user_yelping_since_year [ INTEGER ]
user_average_stars [ TEXT ]
user_votes_funny [ TEXT ]
user_votes_useful [ TEXT ]
user_votes_cool [ TEXT ]
user_review_count [ TEXT ]
user_fans [ TEXT ]
Please write me a SQL statement that answers the following question: Describe ID and active status of the business under category of "Diagnostic Imaging". [/INST] | SELECT T2.business_id, T3.active FROM Categories AS T1 INNER JOIN Business_Categories AS T2 ON T1.category_id = T2.category_id INNER JOIN Business AS T3 ON T2.business_id = T3.business_id WHERE T1.category_name = 'Diagnostic Imaging'; |
[INST] Here is a database schema:
Attributes :
attribute_id [ INTEGER ] primary_key
attribute_name [ TEXT ]
Categories :
category_id [ INTEGER ] primary_key
category_name [ TEXT ]
Compliments :
compliment_id [ INTEGER ] primary_key
compliment_type [ TEXT ]
Days :
day_id [ INTEGER ] primary_key
day_of_week [ TEXT ]
Years :
year_id [ INTEGER ] primary_key
actual_year [ INTEGER ]
Business_Attributes :
attribute_id [ INTEGER ]
business_id [ INTEGER ]
attribute_value [ TEXT ]
Business_Categories :
business_id [ INTEGER ]
category_id [ INTEGER ]
Business_Hours :
business_id [ INTEGER ]
day_id [ INTEGER ]
opening_time [ TEXT ]
closing_time [ TEXT ]
Checkins :
business_id [ INTEGER ]
day_id [ INTEGER ]
label_time_0 [ TEXT ]
label_time_1 [ TEXT ]
label_time_2 [ TEXT ]
label_time_3 [ TEXT ]
label_time_4 [ TEXT ]
label_time_5 [ TEXT ]
label_time_6 [ TEXT ]
label_time_7 [ TEXT ]
label_time_8 [ TEXT ]
label_time_9 [ TEXT ]
label_time_10 [ TEXT ]
label_time_11 [ TEXT ]
label_time_12 [ TEXT ]
label_time_13 [ TEXT ]
label_time_14 [ TEXT ]
label_time_15 [ TEXT ]
label_time_16 [ TEXT ]
label_time_17 [ TEXT ]
label_time_18 [ TEXT ]
label_time_19 [ TEXT ]
label_time_20 [ TEXT ]
label_time_21 [ TEXT ]
label_time_22 [ TEXT ]
label_time_23 [ TEXT ]
Elite :
user_id [ INTEGER ]
year_id [ INTEGER ]
Reviews :
business_id [ INTEGER ]
user_id [ INTEGER ]
review_stars [ INTEGER ]
review_votes_funny [ TEXT ]
review_votes_useful [ TEXT ]
review_votes_cool [ TEXT ]
review_length [ TEXT ]
Tips :
business_id [ INTEGER ]
user_id [ INTEGER ]
likes [ INTEGER ]
tip_length [ TEXT ]
Users_Compliments :
compliment_id [ INTEGER ]
user_id [ INTEGER ]
number_of_compliments [ TEXT ]
Business :
business_id [ INTEGER ] primary_key
active [ TEXT ]
city [ TEXT ]
state [ TEXT ]
stars [ REAL ]
review_count [ TEXT ]
Users :
user_id [ INTEGER ] primary_key
user_yelping_since_year [ INTEGER ]
user_average_stars [ TEXT ]
user_votes_funny [ TEXT ]
user_votes_useful [ TEXT ]
user_votes_cool [ TEXT ]
user_review_count [ TEXT ]
user_fans [ TEXT ]
Please write me a SQL statement that answers the following question: Mention the user ID and their year of joining Yelp who had great experience on business ID 143. [/INST] | SELECT T2.user_id, T2.user_yelping_since_year FROM Reviews AS T1 INNER JOIN Users AS T2 ON T1.user_id = T2.user_id WHERE T1.business_id = 143 AND T1.review_stars = 5; |
[INST] Here is a database schema:
Attributes :
attribute_id [ INTEGER ] primary_key
attribute_name [ TEXT ]
Categories :
category_id [ INTEGER ] primary_key
category_name [ TEXT ]
Compliments :
compliment_id [ INTEGER ] primary_key
compliment_type [ TEXT ]
Days :
day_id [ INTEGER ] primary_key
day_of_week [ TEXT ]
Years :
year_id [ INTEGER ] primary_key
actual_year [ INTEGER ]
Business_Attributes :
attribute_id [ INTEGER ]
business_id [ INTEGER ]
attribute_value [ TEXT ]
Business_Categories :
business_id [ INTEGER ]
category_id [ INTEGER ]
Business_Hours :
business_id [ INTEGER ]
day_id [ INTEGER ]
opening_time [ TEXT ]
closing_time [ TEXT ]
Checkins :
business_id [ INTEGER ]
day_id [ INTEGER ]
label_time_0 [ TEXT ]
label_time_1 [ TEXT ]
label_time_2 [ TEXT ]
label_time_3 [ TEXT ]
label_time_4 [ TEXT ]
label_time_5 [ TEXT ]
label_time_6 [ TEXT ]
label_time_7 [ TEXT ]
label_time_8 [ TEXT ]
label_time_9 [ TEXT ]
label_time_10 [ TEXT ]
label_time_11 [ TEXT ]
label_time_12 [ TEXT ]
label_time_13 [ TEXT ]
label_time_14 [ TEXT ]
label_time_15 [ TEXT ]
label_time_16 [ TEXT ]
label_time_17 [ TEXT ]
label_time_18 [ TEXT ]
label_time_19 [ TEXT ]
label_time_20 [ TEXT ]
label_time_21 [ TEXT ]
label_time_22 [ TEXT ]
label_time_23 [ TEXT ]
Elite :
user_id [ INTEGER ]
year_id [ INTEGER ]
Reviews :
business_id [ INTEGER ]
user_id [ INTEGER ]
review_stars [ INTEGER ]
review_votes_funny [ TEXT ]
review_votes_useful [ TEXT ]
review_votes_cool [ TEXT ]
review_length [ TEXT ]
Tips :
business_id [ INTEGER ]
user_id [ INTEGER ]
likes [ INTEGER ]
tip_length [ TEXT ]
Users_Compliments :
compliment_id [ INTEGER ]
user_id [ INTEGER ]
number_of_compliments [ TEXT ]
Business :
business_id [ INTEGER ] primary_key
active [ TEXT ]
city [ TEXT ]
state [ TEXT ]
stars [ REAL ]
review_count [ TEXT ]
Users :
user_id [ INTEGER ] primary_key
user_yelping_since_year [ INTEGER ]
user_average_stars [ TEXT ]
user_votes_funny [ TEXT ]
user_votes_useful [ TEXT ]
user_votes_cool [ TEXT ]
user_review_count [ TEXT ]
user_fans [ TEXT ]
Please write me a SQL statement that answers the following question: Among the user ID with number in compliment of uber on profile, list any 5 user ID and the year when they join Yelp. [/INST] | SELECT T3.user_id, T3.user_yelping_since_year FROM Compliments AS T1 INNER JOIN Users_Compliments AS T2 ON T1.compliment_id = T2.compliment_id INNER JOIN Users AS T3 ON T2.user_id = T3.user_id WHERE T1.compliment_type = 'profile' AND T2.number_of_compliments = 'Uber' LIMIT 5; |
[INST] Here is a database schema:
Attributes :
attribute_id [ INTEGER ] primary_key
attribute_name [ TEXT ]
Categories :
category_id [ INTEGER ] primary_key
category_name [ TEXT ]
Compliments :
compliment_id [ INTEGER ] primary_key
compliment_type [ TEXT ]
Days :
day_id [ INTEGER ] primary_key
day_of_week [ TEXT ]
Years :
year_id [ INTEGER ] primary_key
actual_year [ INTEGER ]
Business_Attributes :
attribute_id [ INTEGER ]
business_id [ INTEGER ]
attribute_value [ TEXT ]
Business_Categories :
business_id [ INTEGER ]
category_id [ INTEGER ]
Business_Hours :
business_id [ INTEGER ]
day_id [ INTEGER ]
opening_time [ TEXT ]
closing_time [ TEXT ]
Checkins :
business_id [ INTEGER ]
day_id [ INTEGER ]
label_time_0 [ TEXT ]
label_time_1 [ TEXT ]
label_time_2 [ TEXT ]
label_time_3 [ TEXT ]
label_time_4 [ TEXT ]
label_time_5 [ TEXT ]
label_time_6 [ TEXT ]
label_time_7 [ TEXT ]
label_time_8 [ TEXT ]
label_time_9 [ TEXT ]
label_time_10 [ TEXT ]
label_time_11 [ TEXT ]
label_time_12 [ TEXT ]
label_time_13 [ TEXT ]
label_time_14 [ TEXT ]
label_time_15 [ TEXT ]
label_time_16 [ TEXT ]
label_time_17 [ TEXT ]
label_time_18 [ TEXT ]
label_time_19 [ TEXT ]
label_time_20 [ TEXT ]
label_time_21 [ TEXT ]
label_time_22 [ TEXT ]
label_time_23 [ TEXT ]
Elite :
user_id [ INTEGER ]
year_id [ INTEGER ]
Reviews :
business_id [ INTEGER ]
user_id [ INTEGER ]
review_stars [ INTEGER ]
review_votes_funny [ TEXT ]
review_votes_useful [ TEXT ]
review_votes_cool [ TEXT ]
review_length [ TEXT ]
Tips :
business_id [ INTEGER ]
user_id [ INTEGER ]
likes [ INTEGER ]
tip_length [ TEXT ]
Users_Compliments :
compliment_id [ INTEGER ]
user_id [ INTEGER ]
number_of_compliments [ TEXT ]
Business :
business_id [ INTEGER ] primary_key
active [ TEXT ]
city [ TEXT ]
state [ TEXT ]
stars [ REAL ]
review_count [ TEXT ]
Users :
user_id [ INTEGER ] primary_key
user_yelping_since_year [ INTEGER ]
user_average_stars [ TEXT ]
user_votes_funny [ TEXT ]
user_votes_useful [ TEXT ]
user_votes_cool [ TEXT ]
user_review_count [ TEXT ]
user_fans [ TEXT ]
Please write me a SQL statement that answers the following question: List the user ID, business ID with review length of the business which received the most likes in tips. [/INST] | SELECT T1.user_id, T1.business_id, T2.review_length FROM Tips AS T1 INNER JOIN Reviews AS T2 ON T1.business_id = T2.business_id ORDER BY T1.likes DESC LIMIT 1; |
[INST] Here is a database schema:
Attributes :
attribute_id [ INTEGER ] primary_key
attribute_name [ TEXT ]
Categories :
category_id [ INTEGER ] primary_key
category_name [ TEXT ]
Compliments :
compliment_id [ INTEGER ] primary_key
compliment_type [ TEXT ]
Days :
day_id [ INTEGER ] primary_key
day_of_week [ TEXT ]
Years :
year_id [ INTEGER ] primary_key
actual_year [ INTEGER ]
Business_Attributes :
attribute_id [ INTEGER ]
business_id [ INTEGER ]
attribute_value [ TEXT ]
Business_Categories :
business_id [ INTEGER ]
category_id [ INTEGER ]
Business_Hours :
business_id [ INTEGER ]
day_id [ INTEGER ]
opening_time [ TEXT ]
closing_time [ TEXT ]
Checkins :
business_id [ INTEGER ]
day_id [ INTEGER ]
label_time_0 [ TEXT ]
label_time_1 [ TEXT ]
label_time_2 [ TEXT ]
label_time_3 [ TEXT ]
label_time_4 [ TEXT ]
label_time_5 [ TEXT ]
label_time_6 [ TEXT ]
label_time_7 [ TEXT ]
label_time_8 [ TEXT ]
label_time_9 [ TEXT ]
label_time_10 [ TEXT ]
label_time_11 [ TEXT ]
label_time_12 [ TEXT ]
label_time_13 [ TEXT ]
label_time_14 [ TEXT ]
label_time_15 [ TEXT ]
label_time_16 [ TEXT ]
label_time_17 [ TEXT ]
label_time_18 [ TEXT ]
label_time_19 [ TEXT ]
label_time_20 [ TEXT ]
label_time_21 [ TEXT ]
label_time_22 [ TEXT ]
label_time_23 [ TEXT ]
Elite :
user_id [ INTEGER ]
year_id [ INTEGER ]
Reviews :
business_id [ INTEGER ]
user_id [ INTEGER ]
review_stars [ INTEGER ]
review_votes_funny [ TEXT ]
review_votes_useful [ TEXT ]
review_votes_cool [ TEXT ]
review_length [ TEXT ]
Tips :
business_id [ INTEGER ]
user_id [ INTEGER ]
likes [ INTEGER ]
tip_length [ TEXT ]
Users_Compliments :
compliment_id [ INTEGER ]
user_id [ INTEGER ]
number_of_compliments [ TEXT ]
Business :
business_id [ INTEGER ] primary_key
active [ TEXT ]
city [ TEXT ]
state [ TEXT ]
stars [ REAL ]
review_count [ TEXT ]
Users :
user_id [ INTEGER ] primary_key
user_yelping_since_year [ INTEGER ]
user_average_stars [ TEXT ]
user_votes_funny [ TEXT ]
user_votes_useful [ TEXT ]
user_votes_cool [ TEXT ]
user_review_count [ TEXT ]
user_fans [ TEXT ]
Please write me a SQL statement that answers the following question: Among the elite users of 10 consecutive year from 2005 to 2014, list down the user ID and their number of compliment on photos. [/INST] | SELECT T2.user_id, T2.number_of_compliments FROM Compliments AS T1 INNER JOIN Users_Compliments AS T2 ON T1.compliment_id = T2.compliment_id INNER JOIN Elite AS T3 ON T2.user_id = T3.user_id WHERE T3.year_id BETWEEN 2005 AND 2014 AND T1.compliment_type = 'photos'; |
[INST] Here is a database schema:
Attributes :
attribute_id [ INTEGER ] primary_key
attribute_name [ TEXT ]
Categories :
category_id [ INTEGER ] primary_key
category_name [ TEXT ]
Compliments :
compliment_id [ INTEGER ] primary_key
compliment_type [ TEXT ]
Days :
day_id [ INTEGER ] primary_key
day_of_week [ TEXT ]
Years :
year_id [ INTEGER ] primary_key
actual_year [ INTEGER ]
Business_Attributes :
attribute_id [ INTEGER ]
business_id [ INTEGER ]
attribute_value [ TEXT ]
Business_Categories :
business_id [ INTEGER ]
category_id [ INTEGER ]
Business_Hours :
business_id [ INTEGER ]
day_id [ INTEGER ]
opening_time [ TEXT ]
closing_time [ TEXT ]
Checkins :
business_id [ INTEGER ]
day_id [ INTEGER ]
label_time_0 [ TEXT ]
label_time_1 [ TEXT ]
label_time_2 [ TEXT ]
label_time_3 [ TEXT ]
label_time_4 [ TEXT ]
label_time_5 [ TEXT ]
label_time_6 [ TEXT ]
label_time_7 [ TEXT ]
label_time_8 [ TEXT ]
label_time_9 [ TEXT ]
label_time_10 [ TEXT ]
label_time_11 [ TEXT ]
label_time_12 [ TEXT ]
label_time_13 [ TEXT ]
label_time_14 [ TEXT ]
label_time_15 [ TEXT ]
label_time_16 [ TEXT ]
label_time_17 [ TEXT ]
label_time_18 [ TEXT ]
label_time_19 [ TEXT ]
label_time_20 [ TEXT ]
label_time_21 [ TEXT ]
label_time_22 [ TEXT ]
label_time_23 [ TEXT ]
Elite :
user_id [ INTEGER ]
year_id [ INTEGER ]
Reviews :
business_id [ INTEGER ]
user_id [ INTEGER ]
review_stars [ INTEGER ]
review_votes_funny [ TEXT ]
review_votes_useful [ TEXT ]
review_votes_cool [ TEXT ]
review_length [ TEXT ]
Tips :
business_id [ INTEGER ]
user_id [ INTEGER ]
likes [ INTEGER ]
tip_length [ TEXT ]
Users_Compliments :
compliment_id [ INTEGER ]
user_id [ INTEGER ]
number_of_compliments [ TEXT ]
Business :
business_id [ INTEGER ] primary_key
active [ TEXT ]
city [ TEXT ]
state [ TEXT ]
stars [ REAL ]
review_count [ TEXT ]
Users :
user_id [ INTEGER ] primary_key
user_yelping_since_year [ INTEGER ]
user_average_stars [ TEXT ]
user_votes_funny [ TEXT ]
user_votes_useful [ TEXT ]
user_votes_cool [ TEXT ]
user_review_count [ TEXT ]
user_fans [ TEXT ]
Please write me a SQL statement that answers the following question: Calculate the percentage of business which opened on Sunday from 9AM to 9PM based on the number of business opened on Sunday. [/INST] | SELECT CAST(SUM(CASE WHEN T2.opening_time = '9AM' AND T2.closing_time = '9PM' THEN 1 ELSE 0 END) AS REAL) * 100 / COUNT(T1.day_id) FROM Days AS T1 INNER JOIN Business_Hours AS T2 ON T1.day_id = T2.day_id WHERE T1.day_of_week = 'Sunday'; |
[INST] Here is a database schema:
Attributes :
attribute_id [ INTEGER ] primary_key
attribute_name [ TEXT ]
Categories :
category_id [ INTEGER ] primary_key
category_name [ TEXT ]
Compliments :
compliment_id [ INTEGER ] primary_key
compliment_type [ TEXT ]
Days :
day_id [ INTEGER ] primary_key
day_of_week [ TEXT ]
Years :
year_id [ INTEGER ] primary_key
actual_year [ INTEGER ]
Business_Attributes :
attribute_id [ INTEGER ]
business_id [ INTEGER ]
attribute_value [ TEXT ]
Business_Categories :
business_id [ INTEGER ]
category_id [ INTEGER ]
Business_Hours :
business_id [ INTEGER ]
day_id [ INTEGER ]
opening_time [ TEXT ]
closing_time [ TEXT ]
Checkins :
business_id [ INTEGER ]
day_id [ INTEGER ]
label_time_0 [ TEXT ]
label_time_1 [ TEXT ]
label_time_2 [ TEXT ]
label_time_3 [ TEXT ]
label_time_4 [ TEXT ]
label_time_5 [ TEXT ]
label_time_6 [ TEXT ]
label_time_7 [ TEXT ]
label_time_8 [ TEXT ]
label_time_9 [ TEXT ]
label_time_10 [ TEXT ]
label_time_11 [ TEXT ]
label_time_12 [ TEXT ]
label_time_13 [ TEXT ]
label_time_14 [ TEXT ]
label_time_15 [ TEXT ]
label_time_16 [ TEXT ]
label_time_17 [ TEXT ]
label_time_18 [ TEXT ]
label_time_19 [ TEXT ]
label_time_20 [ TEXT ]
label_time_21 [ TEXT ]
label_time_22 [ TEXT ]
label_time_23 [ TEXT ]
Elite :
user_id [ INTEGER ]
year_id [ INTEGER ]
Reviews :
business_id [ INTEGER ]
user_id [ INTEGER ]
review_stars [ INTEGER ]
review_votes_funny [ TEXT ]
review_votes_useful [ TEXT ]
review_votes_cool [ TEXT ]
review_length [ TEXT ]
Tips :
business_id [ INTEGER ]
user_id [ INTEGER ]
likes [ INTEGER ]
tip_length [ TEXT ]
Users_Compliments :
compliment_id [ INTEGER ]
user_id [ INTEGER ]
number_of_compliments [ TEXT ]
Business :
business_id [ INTEGER ] primary_key
active [ TEXT ]
city [ TEXT ]
state [ TEXT ]
stars [ REAL ]
review_count [ TEXT ]
Users :
user_id [ INTEGER ] primary_key
user_yelping_since_year [ INTEGER ]
user_average_stars [ TEXT ]
user_votes_funny [ TEXT ]
user_votes_useful [ TEXT ]
user_votes_cool [ TEXT ]
user_review_count [ TEXT ]
user_fans [ TEXT ]
Please write me a SQL statement that answers the following question: Write down the ID and opening day of a week for the business which are running in Black Canyon City. [/INST] | SELECT T2.business_id, T3.day_of_week FROM Business AS T1 INNER JOIN Business_Hours AS T2 ON T1.business_id = T2.business_id INNER JOIN Days AS T3 ON T2.day_id = T3.day_id WHERE T1.city = 'Black Canyon City' AND T1.active = 'true'; |
[INST] Here is a database schema:
Attributes :
attribute_id [ INTEGER ] primary_key
attribute_name [ TEXT ]
Categories :
category_id [ INTEGER ] primary_key
category_name [ TEXT ]
Compliments :
compliment_id [ INTEGER ] primary_key
compliment_type [ TEXT ]
Days :
day_id [ INTEGER ] primary_key
day_of_week [ TEXT ]
Years :
year_id [ INTEGER ] primary_key
actual_year [ INTEGER ]
Business_Attributes :
attribute_id [ INTEGER ]
business_id [ INTEGER ]
attribute_value [ TEXT ]
Business_Categories :
business_id [ INTEGER ]
category_id [ INTEGER ]
Business_Hours :
business_id [ INTEGER ]
day_id [ INTEGER ]
opening_time [ TEXT ]
closing_time [ TEXT ]
Checkins :
business_id [ INTEGER ]
day_id [ INTEGER ]
label_time_0 [ TEXT ]
label_time_1 [ TEXT ]
label_time_2 [ TEXT ]
label_time_3 [ TEXT ]
label_time_4 [ TEXT ]
label_time_5 [ TEXT ]
label_time_6 [ TEXT ]
label_time_7 [ TEXT ]
label_time_8 [ TEXT ]
label_time_9 [ TEXT ]
label_time_10 [ TEXT ]
label_time_11 [ TEXT ]
label_time_12 [ TEXT ]
label_time_13 [ TEXT ]
label_time_14 [ TEXT ]
label_time_15 [ TEXT ]
label_time_16 [ TEXT ]
label_time_17 [ TEXT ]
label_time_18 [ TEXT ]
label_time_19 [ TEXT ]
label_time_20 [ TEXT ]
label_time_21 [ TEXT ]
label_time_22 [ TEXT ]
label_time_23 [ TEXT ]
Elite :
user_id [ INTEGER ]
year_id [ INTEGER ]
Reviews :
business_id [ INTEGER ]
user_id [ INTEGER ]
review_stars [ INTEGER ]
review_votes_funny [ TEXT ]
review_votes_useful [ TEXT ]
review_votes_cool [ TEXT ]
review_length [ TEXT ]
Tips :
business_id [ INTEGER ]
user_id [ INTEGER ]
likes [ INTEGER ]
tip_length [ TEXT ]
Users_Compliments :
compliment_id [ INTEGER ]
user_id [ INTEGER ]
number_of_compliments [ TEXT ]
Business :
business_id [ INTEGER ] primary_key
active [ TEXT ]
city [ TEXT ]
state [ TEXT ]
stars [ REAL ]
review_count [ TEXT ]
Users :
user_id [ INTEGER ] primary_key
user_yelping_since_year [ INTEGER ]
user_average_stars [ TEXT ]
user_votes_funny [ TEXT ]
user_votes_useful [ TEXT ]
user_votes_cool [ TEXT ]
user_review_count [ TEXT ]
user_fans [ TEXT ]
Please write me a SQL statement that answers the following question: Within the user who joined Yelp in 2004, explore the user ID with average star of 5 and it's review length on the business. [/INST] | SELECT T2.user_id, T2.review_length FROM Users AS T1 INNER JOIN Reviews AS T2 ON T1.user_id = T2.user_id WHERE T1.user_yelping_since_year = 2004 AND T1.user_average_stars = 5; |
[INST] Here is a database schema:
Attributes :
attribute_id [ INTEGER ] primary_key
attribute_name [ TEXT ]
Categories :
category_id [ INTEGER ] primary_key
category_name [ TEXT ]
Compliments :
compliment_id [ INTEGER ] primary_key
compliment_type [ TEXT ]
Days :
day_id [ INTEGER ] primary_key
day_of_week [ TEXT ]
Years :
year_id [ INTEGER ] primary_key
actual_year [ INTEGER ]
Business_Attributes :
attribute_id [ INTEGER ]
business_id [ INTEGER ]
attribute_value [ TEXT ]
Business_Categories :
business_id [ INTEGER ]
category_id [ INTEGER ]
Business_Hours :
business_id [ INTEGER ]
day_id [ INTEGER ]
opening_time [ TEXT ]
closing_time [ TEXT ]
Checkins :
business_id [ INTEGER ]
day_id [ INTEGER ]
label_time_0 [ TEXT ]
label_time_1 [ TEXT ]
label_time_2 [ TEXT ]
label_time_3 [ TEXT ]
label_time_4 [ TEXT ]
label_time_5 [ TEXT ]
label_time_6 [ TEXT ]
label_time_7 [ TEXT ]
label_time_8 [ TEXT ]
label_time_9 [ TEXT ]
label_time_10 [ TEXT ]
label_time_11 [ TEXT ]
label_time_12 [ TEXT ]
label_time_13 [ TEXT ]
label_time_14 [ TEXT ]
label_time_15 [ TEXT ]
label_time_16 [ TEXT ]
label_time_17 [ TEXT ]
label_time_18 [ TEXT ]
label_time_19 [ TEXT ]
label_time_20 [ TEXT ]
label_time_21 [ TEXT ]
label_time_22 [ TEXT ]
label_time_23 [ TEXT ]
Elite :
user_id [ INTEGER ]
year_id [ INTEGER ]
Reviews :
business_id [ INTEGER ]
user_id [ INTEGER ]
review_stars [ INTEGER ]
review_votes_funny [ TEXT ]
review_votes_useful [ TEXT ]
review_votes_cool [ TEXT ]
review_length [ TEXT ]
Tips :
business_id [ INTEGER ]
user_id [ INTEGER ]
likes [ INTEGER ]
tip_length [ TEXT ]
Users_Compliments :
compliment_id [ INTEGER ]
user_id [ INTEGER ]
number_of_compliments [ TEXT ]
Business :
business_id [ INTEGER ] primary_key
active [ TEXT ]
city [ TEXT ]
state [ TEXT ]
stars [ REAL ]
review_count [ TEXT ]
Users :
user_id [ INTEGER ] primary_key
user_yelping_since_year [ INTEGER ]
user_average_stars [ TEXT ]
user_votes_funny [ TEXT ]
user_votes_useful [ TEXT ]
user_votes_cool [ TEXT ]
user_review_count [ TEXT ]
user_fans [ TEXT ]
Please write me a SQL statement that answers the following question: Which business ID received the review of 4 star and above by 65% of user? Describe their active status and city. [/INST] | SELECT DISTINCT T2.business_id, T2.city FROM Reviews AS T1 INNER JOIN Business AS T2 ON T1.business_id = T2.business_id WHERE T1.review_stars >= 4 AND ( SELECT CAST(( SELECT COUNT(DISTINCT T1.user_id) FROM Reviews AS T1 INNER JOIN Business AS T2 ON T1.business_id = T2.business_id WHERE T1.review_stars >= 4 ) AS REAL) * 100 / ( SELECT COUNT(user_id) FROM Users ) > 65 ); |
[INST] Here is a database schema:
Attributes :
attribute_id [ INTEGER ] primary_key
attribute_name [ TEXT ]
Categories :
category_id [ INTEGER ] primary_key
category_name [ TEXT ]
Compliments :
compliment_id [ INTEGER ] primary_key
compliment_type [ TEXT ]
Days :
day_id [ INTEGER ] primary_key
day_of_week [ TEXT ]
Years :
year_id [ INTEGER ] primary_key
actual_year [ INTEGER ]
Business_Attributes :
attribute_id [ INTEGER ]
business_id [ INTEGER ]
attribute_value [ TEXT ]
Business_Categories :
business_id [ INTEGER ]
category_id [ INTEGER ]
Business_Hours :
business_id [ INTEGER ]
day_id [ INTEGER ]
opening_time [ TEXT ]
closing_time [ TEXT ]
Checkins :
business_id [ INTEGER ]
day_id [ INTEGER ]
label_time_0 [ TEXT ]
label_time_1 [ TEXT ]
label_time_2 [ TEXT ]
label_time_3 [ TEXT ]
label_time_4 [ TEXT ]
label_time_5 [ TEXT ]
label_time_6 [ TEXT ]
label_time_7 [ TEXT ]
label_time_8 [ TEXT ]
label_time_9 [ TEXT ]
label_time_10 [ TEXT ]
label_time_11 [ TEXT ]
label_time_12 [ TEXT ]
label_time_13 [ TEXT ]
label_time_14 [ TEXT ]
label_time_15 [ TEXT ]
label_time_16 [ TEXT ]
label_time_17 [ TEXT ]
label_time_18 [ TEXT ]
label_time_19 [ TEXT ]
label_time_20 [ TEXT ]
label_time_21 [ TEXT ]
label_time_22 [ TEXT ]
label_time_23 [ TEXT ]
Elite :
user_id [ INTEGER ]
year_id [ INTEGER ]
Reviews :
business_id [ INTEGER ]
user_id [ INTEGER ]
review_stars [ INTEGER ]
review_votes_funny [ TEXT ]
review_votes_useful [ TEXT ]
review_votes_cool [ TEXT ]
review_length [ TEXT ]
Tips :
business_id [ INTEGER ]
user_id [ INTEGER ]
likes [ INTEGER ]
tip_length [ TEXT ]
Users_Compliments :
compliment_id [ INTEGER ]
user_id [ INTEGER ]
number_of_compliments [ TEXT ]
Business :
business_id [ INTEGER ] primary_key
active [ TEXT ]
city [ TEXT ]
state [ TEXT ]
stars [ REAL ]
review_count [ TEXT ]
Users :
user_id [ INTEGER ] primary_key
user_yelping_since_year [ INTEGER ]
user_average_stars [ TEXT ]
user_votes_funny [ TEXT ]
user_votes_useful [ TEXT ]
user_votes_cool [ TEXT ]
user_review_count [ TEXT ]
user_fans [ TEXT ]
Please write me a SQL statement that answers the following question: Calculate the difference between running business in Glendale City and Mesa City. [/INST] | SELECT SUM(CASE WHEN city = 'Glendale' THEN 1 ELSE 0 END) - SUM(CASE WHEN city = 'Mesa' THEN 1 ELSE 0 END) AS diff FROM Business WHERE active = 'true'; |
[INST] Here is a database schema:
Attributes :
attribute_id [ INTEGER ] primary_key
attribute_name [ TEXT ]
Categories :
category_id [ INTEGER ] primary_key
category_name [ TEXT ]
Compliments :
compliment_id [ INTEGER ] primary_key
compliment_type [ TEXT ]
Days :
day_id [ INTEGER ] primary_key
day_of_week [ TEXT ]
Years :
year_id [ INTEGER ] primary_key
actual_year [ INTEGER ]
Business_Attributes :
attribute_id [ INTEGER ]
business_id [ INTEGER ]
attribute_value [ TEXT ]
Business_Categories :
business_id [ INTEGER ]
category_id [ INTEGER ]
Business_Hours :
business_id [ INTEGER ]
day_id [ INTEGER ]
opening_time [ TEXT ]
closing_time [ TEXT ]
Checkins :
business_id [ INTEGER ]
day_id [ INTEGER ]
label_time_0 [ TEXT ]
label_time_1 [ TEXT ]
label_time_2 [ TEXT ]
label_time_3 [ TEXT ]
label_time_4 [ TEXT ]
label_time_5 [ TEXT ]
label_time_6 [ TEXT ]
label_time_7 [ TEXT ]
label_time_8 [ TEXT ]
label_time_9 [ TEXT ]
label_time_10 [ TEXT ]
label_time_11 [ TEXT ]
label_time_12 [ TEXT ]
label_time_13 [ TEXT ]
label_time_14 [ TEXT ]
label_time_15 [ TEXT ]
label_time_16 [ TEXT ]
label_time_17 [ TEXT ]
label_time_18 [ TEXT ]
label_time_19 [ TEXT ]
label_time_20 [ TEXT ]
label_time_21 [ TEXT ]
label_time_22 [ TEXT ]
label_time_23 [ TEXT ]
Elite :
user_id [ INTEGER ]
year_id [ INTEGER ]
Reviews :
business_id [ INTEGER ]
user_id [ INTEGER ]
review_stars [ INTEGER ]
review_votes_funny [ TEXT ]
review_votes_useful [ TEXT ]
review_votes_cool [ TEXT ]
review_length [ TEXT ]
Tips :
business_id [ INTEGER ]
user_id [ INTEGER ]
likes [ INTEGER ]
tip_length [ TEXT ]
Users_Compliments :
compliment_id [ INTEGER ]
user_id [ INTEGER ]
number_of_compliments [ TEXT ]
Business :
business_id [ INTEGER ] primary_key
active [ TEXT ]
city [ TEXT ]
state [ TEXT ]
stars [ REAL ]
review_count [ TEXT ]
Users :
user_id [ INTEGER ] primary_key
user_yelping_since_year [ INTEGER ]
user_average_stars [ TEXT ]
user_votes_funny [ TEXT ]
user_votes_useful [ TEXT ]
user_votes_cool [ TEXT ]
user_review_count [ TEXT ]
user_fans [ TEXT ]
Please write me a SQL statement that answers the following question: How many likes did short comment left by users who joined in 2010 get? [/INST] | SELECT SUM(T2.likes) FROM Users AS T1 INNER JOIN Tips AS T2 ON T1.user_id = T2.user_id WHERE T1.user_yelping_since_year = 2010; |
[INST] Here is a database schema:
Attributes :
attribute_id [ INTEGER ] primary_key
attribute_name [ TEXT ]
Categories :
category_id [ INTEGER ] primary_key
category_name [ TEXT ]
Compliments :
compliment_id [ INTEGER ] primary_key
compliment_type [ TEXT ]
Days :
day_id [ INTEGER ] primary_key
day_of_week [ TEXT ]
Years :
year_id [ INTEGER ] primary_key
actual_year [ INTEGER ]
Business_Attributes :
attribute_id [ INTEGER ]
business_id [ INTEGER ]
attribute_value [ TEXT ]
Business_Categories :
business_id [ INTEGER ]
category_id [ INTEGER ]
Business_Hours :
business_id [ INTEGER ]
day_id [ INTEGER ]
opening_time [ TEXT ]
closing_time [ TEXT ]
Checkins :
business_id [ INTEGER ]
day_id [ INTEGER ]
label_time_0 [ TEXT ]
label_time_1 [ TEXT ]
label_time_2 [ TEXT ]
label_time_3 [ TEXT ]
label_time_4 [ TEXT ]
label_time_5 [ TEXT ]
label_time_6 [ TEXT ]
label_time_7 [ TEXT ]
label_time_8 [ TEXT ]
label_time_9 [ TEXT ]
label_time_10 [ TEXT ]
label_time_11 [ TEXT ]
label_time_12 [ TEXT ]
label_time_13 [ TEXT ]
label_time_14 [ TEXT ]
label_time_15 [ TEXT ]
label_time_16 [ TEXT ]
label_time_17 [ TEXT ]
label_time_18 [ TEXT ]
label_time_19 [ TEXT ]
label_time_20 [ TEXT ]
label_time_21 [ TEXT ]
label_time_22 [ TEXT ]
label_time_23 [ TEXT ]
Elite :
user_id [ INTEGER ]
year_id [ INTEGER ]
Reviews :
business_id [ INTEGER ]
user_id [ INTEGER ]
review_stars [ INTEGER ]
review_votes_funny [ TEXT ]
review_votes_useful [ TEXT ]
review_votes_cool [ TEXT ]
review_length [ TEXT ]
Tips :
business_id [ INTEGER ]
user_id [ INTEGER ]
likes [ INTEGER ]
tip_length [ TEXT ]
Users_Compliments :
compliment_id [ INTEGER ]
user_id [ INTEGER ]
number_of_compliments [ TEXT ]
Business :
business_id [ INTEGER ] primary_key
active [ TEXT ]
city [ TEXT ]
state [ TEXT ]
stars [ REAL ]
review_count [ TEXT ]
Users :
user_id [ INTEGER ] primary_key
user_yelping_since_year [ INTEGER ]
user_average_stars [ TEXT ]
user_votes_funny [ TEXT ]
user_votes_useful [ TEXT ]
user_votes_cool [ TEXT ]
user_review_count [ TEXT ]
user_fans [ TEXT ]
Please write me a SQL statement that answers the following question: For users with average ratings of 3, what kind of tip length they mostly left? [/INST] | SELECT T2.tip_length FROM Users AS T1 INNER JOIN Tips AS T2 ON T1.user_id = T2.user_id WHERE T1.user_average_stars = 3 GROUP BY T2.tip_length ORDER BY COUNT(T2.tip_length) DESC LIMIT 1; |
[INST] Here is a database schema:
Attributes :
attribute_id [ INTEGER ] primary_key
attribute_name [ TEXT ]
Categories :
category_id [ INTEGER ] primary_key
category_name [ TEXT ]
Compliments :
compliment_id [ INTEGER ] primary_key
compliment_type [ TEXT ]
Days :
day_id [ INTEGER ] primary_key
day_of_week [ TEXT ]
Years :
year_id [ INTEGER ] primary_key
actual_year [ INTEGER ]
Business_Attributes :
attribute_id [ INTEGER ]
business_id [ INTEGER ]
attribute_value [ TEXT ]
Business_Categories :
business_id [ INTEGER ]
category_id [ INTEGER ]
Business_Hours :
business_id [ INTEGER ]
day_id [ INTEGER ]
opening_time [ TEXT ]
closing_time [ TEXT ]
Checkins :
business_id [ INTEGER ]
day_id [ INTEGER ]
label_time_0 [ TEXT ]
label_time_1 [ TEXT ]
label_time_2 [ TEXT ]
label_time_3 [ TEXT ]
label_time_4 [ TEXT ]
label_time_5 [ TEXT ]
label_time_6 [ TEXT ]
label_time_7 [ TEXT ]
label_time_8 [ TEXT ]
label_time_9 [ TEXT ]
label_time_10 [ TEXT ]
label_time_11 [ TEXT ]
label_time_12 [ TEXT ]
label_time_13 [ TEXT ]
label_time_14 [ TEXT ]
label_time_15 [ TEXT ]
label_time_16 [ TEXT ]
label_time_17 [ TEXT ]
label_time_18 [ TEXT ]
label_time_19 [ TEXT ]
label_time_20 [ TEXT ]
label_time_21 [ TEXT ]
label_time_22 [ TEXT ]
label_time_23 [ TEXT ]
Elite :
user_id [ INTEGER ]
year_id [ INTEGER ]
Reviews :
business_id [ INTEGER ]
user_id [ INTEGER ]
review_stars [ INTEGER ]
review_votes_funny [ TEXT ]
review_votes_useful [ TEXT ]
review_votes_cool [ TEXT ]
review_length [ TEXT ]
Tips :
business_id [ INTEGER ]
user_id [ INTEGER ]
likes [ INTEGER ]
tip_length [ TEXT ]
Users_Compliments :
compliment_id [ INTEGER ]
user_id [ INTEGER ]
number_of_compliments [ TEXT ]
Business :
business_id [ INTEGER ] primary_key
active [ TEXT ]
city [ TEXT ]
state [ TEXT ]
stars [ REAL ]
review_count [ TEXT ]
Users :
user_id [ INTEGER ] primary_key
user_yelping_since_year [ INTEGER ]
user_average_stars [ TEXT ]
user_votes_funny [ TEXT ]
user_votes_useful [ TEXT ]
user_votes_cool [ TEXT ]
user_review_count [ TEXT ]
user_fans [ TEXT ]
Please write me a SQL statement that answers the following question: Sum up the likes get by short reviews on businesses located in City Goodyear. [/INST] | SELECT SUM(T2.likes) AS likes FROM Business AS T1 INNER JOIN Tips AS T2 ON T1.business_id = T2.business_id WHERE T1.city = 'Goodyear'; |
[INST] Here is a database schema:
Attributes :
attribute_id [ INTEGER ] primary_key
attribute_name [ TEXT ]
Categories :
category_id [ INTEGER ] primary_key
category_name [ TEXT ]
Compliments :
compliment_id [ INTEGER ] primary_key
compliment_type [ TEXT ]
Days :
day_id [ INTEGER ] primary_key
day_of_week [ TEXT ]
Years :
year_id [ INTEGER ] primary_key
actual_year [ INTEGER ]
Business_Attributes :
attribute_id [ INTEGER ]
business_id [ INTEGER ]
attribute_value [ TEXT ]
Business_Categories :
business_id [ INTEGER ]
category_id [ INTEGER ]
Business_Hours :
business_id [ INTEGER ]
day_id [ INTEGER ]
opening_time [ TEXT ]
closing_time [ TEXT ]
Checkins :
business_id [ INTEGER ]
day_id [ INTEGER ]
label_time_0 [ TEXT ]
label_time_1 [ TEXT ]
label_time_2 [ TEXT ]
label_time_3 [ TEXT ]
label_time_4 [ TEXT ]
label_time_5 [ TEXT ]
label_time_6 [ TEXT ]
label_time_7 [ TEXT ]
label_time_8 [ TEXT ]
label_time_9 [ TEXT ]
label_time_10 [ TEXT ]
label_time_11 [ TEXT ]
label_time_12 [ TEXT ]
label_time_13 [ TEXT ]
label_time_14 [ TEXT ]
label_time_15 [ TEXT ]
label_time_16 [ TEXT ]
label_time_17 [ TEXT ]
label_time_18 [ TEXT ]
label_time_19 [ TEXT ]
label_time_20 [ TEXT ]
label_time_21 [ TEXT ]
label_time_22 [ TEXT ]
label_time_23 [ TEXT ]
Elite :
user_id [ INTEGER ]
year_id [ INTEGER ]
Reviews :
business_id [ INTEGER ]
user_id [ INTEGER ]
review_stars [ INTEGER ]
review_votes_funny [ TEXT ]
review_votes_useful [ TEXT ]
review_votes_cool [ TEXT ]
review_length [ TEXT ]
Tips :
business_id [ INTEGER ]
user_id [ INTEGER ]
likes [ INTEGER ]
tip_length [ TEXT ]
Users_Compliments :
compliment_id [ INTEGER ]
user_id [ INTEGER ]
number_of_compliments [ TEXT ]
Business :
business_id [ INTEGER ] primary_key
active [ TEXT ]
city [ TEXT ]
state [ TEXT ]
stars [ REAL ]
review_count [ TEXT ]
Users :
user_id [ INTEGER ] primary_key
user_yelping_since_year [ INTEGER ]
user_average_stars [ TEXT ]
user_votes_funny [ TEXT ]
user_votes_useful [ TEXT ]
user_votes_cool [ TEXT ]
user_review_count [ TEXT ]
user_fans [ TEXT ]
Please write me a SQL statement that answers the following question: For businesses with long length reviews, which state are they located? [/INST] | SELECT DISTINCT T1.state FROM Business AS T1 INNER JOIN Tips AS T2 ON T1.business_id = T2.business_id WHERE T2.tip_length = 'Long'; |
[INST] Here is a database schema:
Attributes :
attribute_id [ INTEGER ] primary_key
attribute_name [ TEXT ]
Categories :
category_id [ INTEGER ] primary_key
category_name [ TEXT ]
Compliments :
compliment_id [ INTEGER ] primary_key
compliment_type [ TEXT ]
Days :
day_id [ INTEGER ] primary_key
day_of_week [ TEXT ]
Years :
year_id [ INTEGER ] primary_key
actual_year [ INTEGER ]
Business_Attributes :
attribute_id [ INTEGER ]
business_id [ INTEGER ]
attribute_value [ TEXT ]
Business_Categories :
business_id [ INTEGER ]
category_id [ INTEGER ]
Business_Hours :
business_id [ INTEGER ]
day_id [ INTEGER ]
opening_time [ TEXT ]
closing_time [ TEXT ]
Checkins :
business_id [ INTEGER ]
day_id [ INTEGER ]
label_time_0 [ TEXT ]
label_time_1 [ TEXT ]
label_time_2 [ TEXT ]
label_time_3 [ TEXT ]
label_time_4 [ TEXT ]
label_time_5 [ TEXT ]
label_time_6 [ TEXT ]
label_time_7 [ TEXT ]
label_time_8 [ TEXT ]
label_time_9 [ TEXT ]
label_time_10 [ TEXT ]
label_time_11 [ TEXT ]
label_time_12 [ TEXT ]
label_time_13 [ TEXT ]
label_time_14 [ TEXT ]
label_time_15 [ TEXT ]
label_time_16 [ TEXT ]
label_time_17 [ TEXT ]
label_time_18 [ TEXT ]
label_time_19 [ TEXT ]
label_time_20 [ TEXT ]
label_time_21 [ TEXT ]
label_time_22 [ TEXT ]
label_time_23 [ TEXT ]
Elite :
user_id [ INTEGER ]
year_id [ INTEGER ]
Reviews :
business_id [ INTEGER ]
user_id [ INTEGER ]
review_stars [ INTEGER ]
review_votes_funny [ TEXT ]
review_votes_useful [ TEXT ]
review_votes_cool [ TEXT ]
review_length [ TEXT ]
Tips :
business_id [ INTEGER ]
user_id [ INTEGER ]
likes [ INTEGER ]
tip_length [ TEXT ]
Users_Compliments :
compliment_id [ INTEGER ]
user_id [ INTEGER ]
number_of_compliments [ TEXT ]
Business :
business_id [ INTEGER ] primary_key
active [ TEXT ]
city [ TEXT ]
state [ TEXT ]
stars [ REAL ]
review_count [ TEXT ]
Users :
user_id [ INTEGER ] primary_key
user_yelping_since_year [ INTEGER ]
user_average_stars [ TEXT ]
user_votes_funny [ TEXT ]
user_votes_useful [ TEXT ]
user_votes_cool [ TEXT ]
user_review_count [ TEXT ]
user_fans [ TEXT ]
Please write me a SQL statement that answers the following question: How much time do businesses in El Mirage City, AZ State operate in average daily? [/INST] | SELECT SUM(T2.closing_time - T2.opening_time) FROM Business AS T1 INNER JOIN Business_Hours AS T2 ON T1.business_id = T2.business_id WHERE T1.city = 'El Mirage' AND T1.state = 'AZ'; |
[INST] Here is a database schema:
Attributes :
attribute_id [ INTEGER ] primary_key
attribute_name [ TEXT ]
Categories :
category_id [ INTEGER ] primary_key
category_name [ TEXT ]
Compliments :
compliment_id [ INTEGER ] primary_key
compliment_type [ TEXT ]
Days :
day_id [ INTEGER ] primary_key
day_of_week [ TEXT ]
Years :
year_id [ INTEGER ] primary_key
actual_year [ INTEGER ]
Business_Attributes :
attribute_id [ INTEGER ]
business_id [ INTEGER ]
attribute_value [ TEXT ]
Business_Categories :
business_id [ INTEGER ]
category_id [ INTEGER ]
Business_Hours :
business_id [ INTEGER ]
day_id [ INTEGER ]
opening_time [ TEXT ]
closing_time [ TEXT ]
Checkins :
business_id [ INTEGER ]
day_id [ INTEGER ]
label_time_0 [ TEXT ]
label_time_1 [ TEXT ]
label_time_2 [ TEXT ]
label_time_3 [ TEXT ]
label_time_4 [ TEXT ]
label_time_5 [ TEXT ]
label_time_6 [ TEXT ]
label_time_7 [ TEXT ]
label_time_8 [ TEXT ]
label_time_9 [ TEXT ]
label_time_10 [ TEXT ]
label_time_11 [ TEXT ]
label_time_12 [ TEXT ]
label_time_13 [ TEXT ]
label_time_14 [ TEXT ]
label_time_15 [ TEXT ]
label_time_16 [ TEXT ]
label_time_17 [ TEXT ]
label_time_18 [ TEXT ]
label_time_19 [ TEXT ]
label_time_20 [ TEXT ]
label_time_21 [ TEXT ]
label_time_22 [ TEXT ]
label_time_23 [ TEXT ]
Elite :
user_id [ INTEGER ]
year_id [ INTEGER ]
Reviews :
business_id [ INTEGER ]
user_id [ INTEGER ]
review_stars [ INTEGER ]
review_votes_funny [ TEXT ]
review_votes_useful [ TEXT ]
review_votes_cool [ TEXT ]
review_length [ TEXT ]
Tips :
business_id [ INTEGER ]
user_id [ INTEGER ]
likes [ INTEGER ]
tip_length [ TEXT ]
Users_Compliments :
compliment_id [ INTEGER ]
user_id [ INTEGER ]
number_of_compliments [ TEXT ]
Business :
business_id [ INTEGER ] primary_key
active [ TEXT ]
city [ TEXT ]
state [ TEXT ]
stars [ REAL ]
review_count [ TEXT ]
Users :
user_id [ INTEGER ] primary_key
user_yelping_since_year [ INTEGER ]
user_average_stars [ TEXT ]
user_votes_funny [ TEXT ]
user_votes_useful [ TEXT ]
user_votes_cool [ TEXT ]
user_review_count [ TEXT ]
user_fans [ TEXT ]
Please write me a SQL statement that answers the following question: List down the closing day of businesses located at SC State. [/INST] | SELECT T3.day_id - T2.day_id FROM Business AS T1 INNER JOIN Business_Hours AS T2 ON T1.business_id = T2.business_id INNER JOIN Days AS T3 ON T2.day_id = T3.day_id WHERE T1.state = 'SC'; |
[INST] Here is a database schema:
Attributes :
attribute_id [ INTEGER ] primary_key
attribute_name [ TEXT ]
Categories :
category_id [ INTEGER ] primary_key
category_name [ TEXT ]
Compliments :
compliment_id [ INTEGER ] primary_key
compliment_type [ TEXT ]
Days :
day_id [ INTEGER ] primary_key
day_of_week [ TEXT ]
Years :
year_id [ INTEGER ] primary_key
actual_year [ INTEGER ]
Business_Attributes :
attribute_id [ INTEGER ]
business_id [ INTEGER ]
attribute_value [ TEXT ]
Business_Categories :
business_id [ INTEGER ]
category_id [ INTEGER ]
Business_Hours :
business_id [ INTEGER ]
day_id [ INTEGER ]
opening_time [ TEXT ]
closing_time [ TEXT ]
Checkins :
business_id [ INTEGER ]
day_id [ INTEGER ]
label_time_0 [ TEXT ]
label_time_1 [ TEXT ]
label_time_2 [ TEXT ]
label_time_3 [ TEXT ]
label_time_4 [ TEXT ]
label_time_5 [ TEXT ]
label_time_6 [ TEXT ]
label_time_7 [ TEXT ]
label_time_8 [ TEXT ]
label_time_9 [ TEXT ]
label_time_10 [ TEXT ]
label_time_11 [ TEXT ]
label_time_12 [ TEXT ]
label_time_13 [ TEXT ]
label_time_14 [ TEXT ]
label_time_15 [ TEXT ]
label_time_16 [ TEXT ]
label_time_17 [ TEXT ]
label_time_18 [ TEXT ]
label_time_19 [ TEXT ]
label_time_20 [ TEXT ]
label_time_21 [ TEXT ]
label_time_22 [ TEXT ]
label_time_23 [ TEXT ]
Elite :
user_id [ INTEGER ]
year_id [ INTEGER ]
Reviews :
business_id [ INTEGER ]
user_id [ INTEGER ]
review_stars [ INTEGER ]
review_votes_funny [ TEXT ]
review_votes_useful [ TEXT ]
review_votes_cool [ TEXT ]
review_length [ TEXT ]
Tips :
business_id [ INTEGER ]
user_id [ INTEGER ]
likes [ INTEGER ]
tip_length [ TEXT ]
Users_Compliments :
compliment_id [ INTEGER ]
user_id [ INTEGER ]
number_of_compliments [ TEXT ]
Business :
business_id [ INTEGER ] primary_key
active [ TEXT ]
city [ TEXT ]
state [ TEXT ]
stars [ REAL ]
review_count [ TEXT ]
Users :
user_id [ INTEGER ] primary_key
user_yelping_since_year [ INTEGER ]
user_average_stars [ TEXT ]
user_votes_funny [ TEXT ]
user_votes_useful [ TEXT ]
user_votes_cool [ TEXT ]
user_review_count [ TEXT ]
user_fans [ TEXT ]
Please write me a SQL statement that answers the following question: List down the category of businesses whose stars ratings are 5. [/INST] | SELECT DISTINCT T3.category_name FROM Business AS T1 INNER JOIN Business_Categories AS T2 ON T1.business_id = T2.business_id INNER JOIN Categories AS T3 ON T2.category_id = T3.category_id WHERE T1.stars = 5; |
[INST] Here is a database schema:
Attributes :
attribute_id [ INTEGER ] primary_key
attribute_name [ TEXT ]
Categories :
category_id [ INTEGER ] primary_key
category_name [ TEXT ]
Compliments :
compliment_id [ INTEGER ] primary_key
compliment_type [ TEXT ]
Days :
day_id [ INTEGER ] primary_key
day_of_week [ TEXT ]
Years :
year_id [ INTEGER ] primary_key
actual_year [ INTEGER ]
Business_Attributes :
attribute_id [ INTEGER ]
business_id [ INTEGER ]
attribute_value [ TEXT ]
Business_Categories :
business_id [ INTEGER ]
category_id [ INTEGER ]
Business_Hours :
business_id [ INTEGER ]
day_id [ INTEGER ]
opening_time [ TEXT ]
closing_time [ TEXT ]
Checkins :
business_id [ INTEGER ]
day_id [ INTEGER ]
label_time_0 [ TEXT ]
label_time_1 [ TEXT ]
label_time_2 [ TEXT ]
label_time_3 [ TEXT ]
label_time_4 [ TEXT ]
label_time_5 [ TEXT ]
label_time_6 [ TEXT ]
label_time_7 [ TEXT ]
label_time_8 [ TEXT ]
label_time_9 [ TEXT ]
label_time_10 [ TEXT ]
label_time_11 [ TEXT ]
label_time_12 [ TEXT ]
label_time_13 [ TEXT ]
label_time_14 [ TEXT ]
label_time_15 [ TEXT ]
label_time_16 [ TEXT ]
label_time_17 [ TEXT ]
label_time_18 [ TEXT ]
label_time_19 [ TEXT ]
label_time_20 [ TEXT ]
label_time_21 [ TEXT ]
label_time_22 [ TEXT ]
label_time_23 [ TEXT ]
Elite :
user_id [ INTEGER ]
year_id [ INTEGER ]
Reviews :
business_id [ INTEGER ]
user_id [ INTEGER ]
review_stars [ INTEGER ]
review_votes_funny [ TEXT ]
review_votes_useful [ TEXT ]
review_votes_cool [ TEXT ]
review_length [ TEXT ]
Tips :
business_id [ INTEGER ]
user_id [ INTEGER ]
likes [ INTEGER ]
tip_length [ TEXT ]
Users_Compliments :
compliment_id [ INTEGER ]
user_id [ INTEGER ]
number_of_compliments [ TEXT ]
Business :
business_id [ INTEGER ] primary_key
active [ TEXT ]
city [ TEXT ]
state [ TEXT ]
stars [ REAL ]
review_count [ TEXT ]
Users :
user_id [ INTEGER ] primary_key
user_yelping_since_year [ INTEGER ]
user_average_stars [ TEXT ]
user_votes_funny [ TEXT ]
user_votes_useful [ TEXT ]
user_votes_cool [ TEXT ]
user_review_count [ TEXT ]
user_fans [ TEXT ]
Please write me a SQL statement that answers the following question: What are the states of businesses with attribute of beer and wine located? [/INST] | SELECT DISTINCT T2.state FROM Business_Attributes AS T1 INNER JOIN Business AS T2 ON T1.business_id = T2.business_id WHERE T1.attribute_value = 'beer_and_wine'; |
[INST] Here is a database schema:
Attributes :
attribute_id [ INTEGER ] primary_key
attribute_name [ TEXT ]
Categories :
category_id [ INTEGER ] primary_key
category_name [ TEXT ]
Compliments :
compliment_id [ INTEGER ] primary_key
compliment_type [ TEXT ]
Days :
day_id [ INTEGER ] primary_key
day_of_week [ TEXT ]
Years :
year_id [ INTEGER ] primary_key
actual_year [ INTEGER ]
Business_Attributes :
attribute_id [ INTEGER ]
business_id [ INTEGER ]
attribute_value [ TEXT ]
Business_Categories :
business_id [ INTEGER ]
category_id [ INTEGER ]
Business_Hours :
business_id [ INTEGER ]
day_id [ INTEGER ]
opening_time [ TEXT ]
closing_time [ TEXT ]
Checkins :
business_id [ INTEGER ]
day_id [ INTEGER ]
label_time_0 [ TEXT ]
label_time_1 [ TEXT ]
label_time_2 [ TEXT ]
label_time_3 [ TEXT ]
label_time_4 [ TEXT ]
label_time_5 [ TEXT ]
label_time_6 [ TEXT ]
label_time_7 [ TEXT ]
label_time_8 [ TEXT ]
label_time_9 [ TEXT ]
label_time_10 [ TEXT ]
label_time_11 [ TEXT ]
label_time_12 [ TEXT ]
label_time_13 [ TEXT ]
label_time_14 [ TEXT ]
label_time_15 [ TEXT ]
label_time_16 [ TEXT ]
label_time_17 [ TEXT ]
label_time_18 [ TEXT ]
label_time_19 [ TEXT ]
label_time_20 [ TEXT ]
label_time_21 [ TEXT ]
label_time_22 [ TEXT ]
label_time_23 [ TEXT ]
Elite :
user_id [ INTEGER ]
year_id [ INTEGER ]
Reviews :
business_id [ INTEGER ]
user_id [ INTEGER ]
review_stars [ INTEGER ]
review_votes_funny [ TEXT ]
review_votes_useful [ TEXT ]
review_votes_cool [ TEXT ]
review_length [ TEXT ]
Tips :
business_id [ INTEGER ]
user_id [ INTEGER ]
likes [ INTEGER ]
tip_length [ TEXT ]
Users_Compliments :
compliment_id [ INTEGER ]
user_id [ INTEGER ]
number_of_compliments [ TEXT ]
Business :
business_id [ INTEGER ] primary_key
active [ TEXT ]
city [ TEXT ]
state [ TEXT ]
stars [ REAL ]
review_count [ TEXT ]
Users :
user_id [ INTEGER ] primary_key
user_yelping_since_year [ INTEGER ]
user_average_stars [ TEXT ]
user_votes_funny [ TEXT ]
user_votes_useful [ TEXT ]
user_votes_cool [ TEXT ]
user_review_count [ TEXT ]
user_fans [ TEXT ]
Please write me a SQL statement that answers the following question: How many user's compliment in photo has medium in number? [/INST] | SELECT COUNT(T2.user_id) FROM Compliments AS T1 INNER JOIN Users_Compliments AS T2 ON T1.compliment_id = T2.compliment_id WHERE T1.compliment_type = 'photos' AND T2.number_of_compliments = 'Medium'; |
[INST] Here is a database schema:
Attributes :
attribute_id [ INTEGER ] primary_key
attribute_name [ TEXT ]
Categories :
category_id [ INTEGER ] primary_key
category_name [ TEXT ]
Compliments :
compliment_id [ INTEGER ] primary_key
compliment_type [ TEXT ]
Days :
day_id [ INTEGER ] primary_key
day_of_week [ TEXT ]
Years :
year_id [ INTEGER ] primary_key
actual_year [ INTEGER ]
Business_Attributes :
attribute_id [ INTEGER ]
business_id [ INTEGER ]
attribute_value [ TEXT ]
Business_Categories :
business_id [ INTEGER ]
category_id [ INTEGER ]
Business_Hours :
business_id [ INTEGER ]
day_id [ INTEGER ]
opening_time [ TEXT ]
closing_time [ TEXT ]
Checkins :
business_id [ INTEGER ]
day_id [ INTEGER ]
label_time_0 [ TEXT ]
label_time_1 [ TEXT ]
label_time_2 [ TEXT ]
label_time_3 [ TEXT ]
label_time_4 [ TEXT ]
label_time_5 [ TEXT ]
label_time_6 [ TEXT ]
label_time_7 [ TEXT ]
label_time_8 [ TEXT ]
label_time_9 [ TEXT ]
label_time_10 [ TEXT ]
label_time_11 [ TEXT ]
label_time_12 [ TEXT ]
label_time_13 [ TEXT ]
label_time_14 [ TEXT ]
label_time_15 [ TEXT ]
label_time_16 [ TEXT ]
label_time_17 [ TEXT ]
label_time_18 [ TEXT ]
label_time_19 [ TEXT ]
label_time_20 [ TEXT ]
label_time_21 [ TEXT ]
label_time_22 [ TEXT ]
label_time_23 [ TEXT ]
Elite :
user_id [ INTEGER ]
year_id [ INTEGER ]
Reviews :
business_id [ INTEGER ]
user_id [ INTEGER ]
review_stars [ INTEGER ]
review_votes_funny [ TEXT ]
review_votes_useful [ TEXT ]
review_votes_cool [ TEXT ]
review_length [ TEXT ]
Tips :
business_id [ INTEGER ]
user_id [ INTEGER ]
likes [ INTEGER ]
tip_length [ TEXT ]
Users_Compliments :
compliment_id [ INTEGER ]
user_id [ INTEGER ]
number_of_compliments [ TEXT ]
Business :
business_id [ INTEGER ] primary_key
active [ TEXT ]
city [ TEXT ]
state [ TEXT ]
stars [ REAL ]
review_count [ TEXT ]
Users :
user_id [ INTEGER ] primary_key
user_yelping_since_year [ INTEGER ]
user_average_stars [ TEXT ]
user_votes_funny [ TEXT ]
user_votes_useful [ TEXT ]
user_votes_cool [ TEXT ]
user_review_count [ TEXT ]
user_fans [ TEXT ]
Please write me a SQL statement that answers the following question: Among businesses with "Wi-Fi" attribute, which businesses id are located at SC State? [/INST] | SELECT T3.business_id FROM Attributes AS T1 INNER JOIN Business_Attributes AS T2 ON T1.attribute_id = T2.attribute_id INNER JOIN Business AS T3 ON T2.business_id = T3.business_id WHERE T1.attribute_name = 'Wi-Fi' AND T2.attribute_value = 'true' AND T3.state = 'SC'; |
[INST] Here is a database schema:
Attributes :
attribute_id [ INTEGER ] primary_key
attribute_name [ TEXT ]
Categories :
category_id [ INTEGER ] primary_key
category_name [ TEXT ]
Compliments :
compliment_id [ INTEGER ] primary_key
compliment_type [ TEXT ]
Days :
day_id [ INTEGER ] primary_key
day_of_week [ TEXT ]
Years :
year_id [ INTEGER ] primary_key
actual_year [ INTEGER ]
Business_Attributes :
attribute_id [ INTEGER ]
business_id [ INTEGER ]
attribute_value [ TEXT ]
Business_Categories :
business_id [ INTEGER ]
category_id [ INTEGER ]
Business_Hours :
business_id [ INTEGER ]
day_id [ INTEGER ]
opening_time [ TEXT ]
closing_time [ TEXT ]
Checkins :
business_id [ INTEGER ]
day_id [ INTEGER ]
label_time_0 [ TEXT ]
label_time_1 [ TEXT ]
label_time_2 [ TEXT ]
label_time_3 [ TEXT ]
label_time_4 [ TEXT ]
label_time_5 [ TEXT ]
label_time_6 [ TEXT ]
label_time_7 [ TEXT ]
label_time_8 [ TEXT ]
label_time_9 [ TEXT ]
label_time_10 [ TEXT ]
label_time_11 [ TEXT ]
label_time_12 [ TEXT ]
label_time_13 [ TEXT ]
label_time_14 [ TEXT ]
label_time_15 [ TEXT ]
label_time_16 [ TEXT ]
label_time_17 [ TEXT ]
label_time_18 [ TEXT ]
label_time_19 [ TEXT ]
label_time_20 [ TEXT ]
label_time_21 [ TEXT ]
label_time_22 [ TEXT ]
label_time_23 [ TEXT ]
Elite :
user_id [ INTEGER ]
year_id [ INTEGER ]
Reviews :
business_id [ INTEGER ]
user_id [ INTEGER ]
review_stars [ INTEGER ]
review_votes_funny [ TEXT ]
review_votes_useful [ TEXT ]
review_votes_cool [ TEXT ]
review_length [ TEXT ]
Tips :
business_id [ INTEGER ]
user_id [ INTEGER ]
likes [ INTEGER ]
tip_length [ TEXT ]
Users_Compliments :
compliment_id [ INTEGER ]
user_id [ INTEGER ]
number_of_compliments [ TEXT ]
Business :
business_id [ INTEGER ] primary_key
active [ TEXT ]
city [ TEXT ]
state [ TEXT ]
stars [ REAL ]
review_count [ TEXT ]
Users :
user_id [ INTEGER ] primary_key
user_yelping_since_year [ INTEGER ]
user_average_stars [ TEXT ]
user_votes_funny [ TEXT ]
user_votes_useful [ TEXT ]
user_votes_cool [ TEXT ]
user_review_count [ TEXT ]
user_fans [ TEXT ]
Please write me a SQL statement that answers the following question: Sum up the number of business with "ambience_romantic" attribute. [/INST] | SELECT COUNT(T2.business_id) FROM Attributes AS T1 INNER JOIN Business_Attributes AS T2 ON T1.attribute_id = T2.attribute_id WHERE T1.attribute_name = 'ambience_romantic' AND T2.attribute_value = 'true'; |
[INST] Here is a database schema:
Attributes :
attribute_id [ INTEGER ] primary_key
attribute_name [ TEXT ]
Categories :
category_id [ INTEGER ] primary_key
category_name [ TEXT ]
Compliments :
compliment_id [ INTEGER ] primary_key
compliment_type [ TEXT ]
Days :
day_id [ INTEGER ] primary_key
day_of_week [ TEXT ]
Years :
year_id [ INTEGER ] primary_key
actual_year [ INTEGER ]
Business_Attributes :
attribute_id [ INTEGER ]
business_id [ INTEGER ]
attribute_value [ TEXT ]
Business_Categories :
business_id [ INTEGER ]
category_id [ INTEGER ]
Business_Hours :
business_id [ INTEGER ]
day_id [ INTEGER ]
opening_time [ TEXT ]
closing_time [ TEXT ]
Checkins :
business_id [ INTEGER ]
day_id [ INTEGER ]
label_time_0 [ TEXT ]
label_time_1 [ TEXT ]
label_time_2 [ TEXT ]
label_time_3 [ TEXT ]
label_time_4 [ TEXT ]
label_time_5 [ TEXT ]
label_time_6 [ TEXT ]
label_time_7 [ TEXT ]
label_time_8 [ TEXT ]
label_time_9 [ TEXT ]
label_time_10 [ TEXT ]
label_time_11 [ TEXT ]
label_time_12 [ TEXT ]
label_time_13 [ TEXT ]
label_time_14 [ TEXT ]
label_time_15 [ TEXT ]
label_time_16 [ TEXT ]
label_time_17 [ TEXT ]
label_time_18 [ TEXT ]
label_time_19 [ TEXT ]
label_time_20 [ TEXT ]
label_time_21 [ TEXT ]
label_time_22 [ TEXT ]
label_time_23 [ TEXT ]
Elite :
user_id [ INTEGER ]
year_id [ INTEGER ]
Reviews :
business_id [ INTEGER ]
user_id [ INTEGER ]
review_stars [ INTEGER ]
review_votes_funny [ TEXT ]
review_votes_useful [ TEXT ]
review_votes_cool [ TEXT ]
review_length [ TEXT ]
Tips :
business_id [ INTEGER ]
user_id [ INTEGER ]
likes [ INTEGER ]
tip_length [ TEXT ]
Users_Compliments :
compliment_id [ INTEGER ]
user_id [ INTEGER ]
number_of_compliments [ TEXT ]
Business :
business_id [ INTEGER ] primary_key
active [ TEXT ]
city [ TEXT ]
state [ TEXT ]
stars [ REAL ]
review_count [ TEXT ]
Users :
user_id [ INTEGER ] primary_key
user_yelping_since_year [ INTEGER ]
user_average_stars [ TEXT ]
user_votes_funny [ TEXT ]
user_votes_useful [ TEXT ]
user_votes_cool [ TEXT ]
user_review_count [ TEXT ]
user_fans [ TEXT ]
Please write me a SQL statement that answers the following question: What is the percentage of businesses with "Good for Kids" attribute over the other attributes? [/INST] | SELECT CAST(SUM(CASE WHEN attribute_name = 'Good for Kids' THEN 1 ELSE 0 END) AS REAL) * 100 / COUNT(T2.business_id) FROM Attributes AS T1 INNER JOIN Business_Attributes AS T2 ON T1.attribute_id = T2.attribute_id WHERE T2.attribute_value = 'true'; |
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