db_id stringclasses 146
values | schema stringclasses 146
values | question stringlengths 3 224 | sql stringlengths 18 577 |
|---|---|---|---|
document_management | 【DB_ID】 document_management
【Schema】
# Table: main.Document_Functional_Areas
[
(document_code:VARCHAR, Examples: [675, 930, 217]),
(functional_area_code:VARCHAR, Examples: [9, 1, 8])
]
# Table: main.Document_Sections
[
(section_id:INTEGER, Primary Key, Examples: [12, 15, 19]),
(document_code:VARCHAR, Examples: [714, 21... | What are the names of all the documents, as well as the access counts of each, ordered alphabetically? | SELECT document_name , access_count FROM documents ORDER BY document_name |
document_management | 【DB_ID】 document_management
【Schema】
# Table: main.Document_Functional_Areas
[
(document_code:VARCHAR, Examples: [675, 930, 217]),
(functional_area_code:VARCHAR, Examples: [9, 1, 8])
]
# Table: main.Document_Sections
[
(section_id:INTEGER, Primary Key, Examples: [12, 15, 19]),
(document_code:VARCHAR, Examples: [714, 21... | Find the name of the document that has been accessed the greatest number of times, as well as the count of how many times it has been accessed? | SELECT document_name , access_count FROM documents ORDER BY access_count DESC LIMIT 1 |
document_management | 【DB_ID】 document_management
【Schema】
# Table: main.Document_Functional_Areas
[
(document_code:VARCHAR, Examples: [675, 930, 217]),
(functional_area_code:VARCHAR, Examples: [9, 1, 8])
]
# Table: main.Document_Sections
[
(section_id:INTEGER, Primary Key, Examples: [12, 15, 19]),
(document_code:VARCHAR, Examples: [714, 21... | What is the name of the document which has been accessed the most times, as well as the number of times it has been accessed? | SELECT document_name , access_count FROM documents ORDER BY access_count DESC LIMIT 1 |
document_management | 【DB_ID】 document_management
【Schema】
# Table: main.Document_Functional_Areas
[
(document_code:VARCHAR, Examples: [675, 930, 217]),
(functional_area_code:VARCHAR, Examples: [9, 1, 8])
]
# Table: main.Document_Sections
[
(section_id:INTEGER, Primary Key, Examples: [12, 15, 19]),
(document_code:VARCHAR, Examples: [714, 21... | Find the types of documents with more than 4 documents. | SELECT document_type_code FROM documents GROUP BY document_type_code HAVING count(*) > 4 |
document_management | 【DB_ID】 document_management
【Schema】
# Table: main.Document_Functional_Areas
[
(document_code:VARCHAR, Examples: [675, 930, 217]),
(functional_area_code:VARCHAR, Examples: [9, 1, 8])
]
# Table: main.Document_Sections
[
(section_id:INTEGER, Primary Key, Examples: [12, 15, 19]),
(document_code:VARCHAR, Examples: [714, 21... | What are the codes of types of documents of which there are for or more? | SELECT document_type_code FROM documents GROUP BY document_type_code HAVING count(*) > 4 |
document_management | 【DB_ID】 document_management
【Schema】
# Table: main.Document_Functional_Areas
[
(document_code:VARCHAR, Examples: [675, 930, 217]),
(functional_area_code:VARCHAR, Examples: [9, 1, 8])
]
# Table: main.Document_Sections
[
(section_id:INTEGER, Primary Key, Examples: [12, 15, 19]),
(document_code:VARCHAR, Examples: [714, 21... | Find the total access count of all documents in the most popular document type. | SELECT sum(access_count) FROM documents GROUP BY document_type_code ORDER BY count(*) DESC LIMIT 1 |
document_management | 【DB_ID】 document_management
【Schema】
# Table: main.Document_Functional_Areas
[
(document_code:VARCHAR, Examples: [675, 930, 217]),
(functional_area_code:VARCHAR, Examples: [9, 1, 8])
]
# Table: main.Document_Sections
[
(section_id:INTEGER, Primary Key, Examples: [12, 15, 19]),
(document_code:VARCHAR, Examples: [714, 21... | What is the total access count of documents that are of the most common document type? | SELECT sum(access_count) FROM documents GROUP BY document_type_code ORDER BY count(*) DESC LIMIT 1 |
document_management | 【DB_ID】 document_management
【Schema】
# Table: main.Document_Functional_Areas
[
(document_code:VARCHAR, Examples: [675, 930, 217]),
(functional_area_code:VARCHAR, Examples: [9, 1, 8])
]
# Table: main.Document_Sections
[
(section_id:INTEGER, Primary Key, Examples: [12, 15, 19]),
(document_code:VARCHAR, Examples: [714, 21... | What is the average access count of documents? | SELECT avg(access_count) FROM documents |
document_management | 【DB_ID】 document_management
【Schema】
# Table: main.Document_Functional_Areas
[
(document_code:VARCHAR, Examples: [675, 930, 217]),
(functional_area_code:VARCHAR, Examples: [9, 1, 8])
]
# Table: main.Document_Sections
[
(section_id:INTEGER, Primary Key, Examples: [12, 15, 19]),
(document_code:VARCHAR, Examples: [714, 21... | Find the average access count across all documents? | SELECT avg(access_count) FROM documents |
document_management | 【DB_ID】 document_management
【Schema】
# Table: main.Document_Functional_Areas
[
(document_code:VARCHAR, Examples: [675, 930, 217]),
(functional_area_code:VARCHAR, Examples: [9, 1, 8])
]
# Table: main.Document_Sections
[
(section_id:INTEGER, Primary Key, Examples: [12, 15, 19]),
(document_code:VARCHAR, Examples: [714, 21... | What is the structure of the document with the least number of accesses? | SELECT t2.document_structure_description FROM documents AS t1 JOIN document_structures AS t2 ON t1.document_structure_code = t2.document_structure_code GROUP BY t1.document_structure_code ORDER BY count(*) DESC LIMIT 1 |
document_management | 【DB_ID】 document_management
【Schema】
# Table: main.Document_Functional_Areas
[
(document_code:VARCHAR, Examples: [675, 930, 217]),
(functional_area_code:VARCHAR, Examples: [9, 1, 8])
]
# Table: main.Document_Sections
[
(section_id:INTEGER, Primary Key, Examples: [12, 15, 19]),
(document_code:VARCHAR, Examples: [714, 21... | Return the structure description of the document that has been accessed the fewest number of times. | SELECT t2.document_structure_description FROM documents AS t1 JOIN document_structures AS t2 ON t1.document_structure_code = t2.document_structure_code GROUP BY t1.document_structure_code ORDER BY count(*) DESC LIMIT 1 |
document_management | 【DB_ID】 document_management
【Schema】
# Table: main.Document_Functional_Areas
[
(document_code:VARCHAR, Examples: [675, 930, 217]),
(functional_area_code:VARCHAR, Examples: [9, 1, 8])
]
# Table: main.Document_Sections
[
(section_id:INTEGER, Primary Key, Examples: [12, 15, 19]),
(document_code:VARCHAR, Examples: [714, 21... | What is the type of the document named "David CV"? | SELECT document_type_code FROM documents WHERE document_name = "David CV" |
document_management | 【DB_ID】 document_management
【Schema】
# Table: main.Document_Functional_Areas
[
(document_code:VARCHAR, Examples: [675, 930, 217]),
(functional_area_code:VARCHAR, Examples: [9, 1, 8])
]
# Table: main.Document_Sections
[
(section_id:INTEGER, Primary Key, Examples: [12, 15, 19]),
(document_code:VARCHAR, Examples: [714, 21... | Return the type code of the document named "David CV". | SELECT document_type_code FROM documents WHERE document_name = "David CV" |
document_management | 【DB_ID】 document_management
【Schema】
# Table: main.Document_Functional_Areas
[
(document_code:VARCHAR, Examples: [675, 930, 217]),
(functional_area_code:VARCHAR, Examples: [9, 1, 8])
]
# Table: main.Document_Sections
[
(section_id:INTEGER, Primary Key, Examples: [12, 15, 19]),
(document_code:VARCHAR, Examples: [714, 21... | Find the list of documents that are both in the most three popular type and have the most three popular structure. | SELECT document_name FROM documents GROUP BY document_type_code ORDER BY count(*) DESC LIMIT 3 INTERSECT SELECT document_name FROM documents GROUP BY document_structure_code ORDER BY count(*) DESC LIMIT 3 |
document_management | 【DB_ID】 document_management
【Schema】
# Table: main.Document_Functional_Areas
[
(document_code:VARCHAR, Examples: [675, 930, 217]),
(functional_area_code:VARCHAR, Examples: [9, 1, 8])
]
# Table: main.Document_Sections
[
(section_id:INTEGER, Primary Key, Examples: [12, 15, 19]),
(document_code:VARCHAR, Examples: [714, 21... | What are the names of documents that have both one of the three most common types and one of three most common structures? | SELECT document_name FROM documents GROUP BY document_type_code ORDER BY count(*) DESC LIMIT 3 INTERSECT SELECT document_name FROM documents GROUP BY document_structure_code ORDER BY count(*) DESC LIMIT 3 |
document_management | 【DB_ID】 document_management
【Schema】
# Table: main.Document_Functional_Areas
[
(document_code:VARCHAR, Examples: [675, 930, 217]),
(functional_area_code:VARCHAR, Examples: [9, 1, 8])
]
# Table: main.Document_Sections
[
(section_id:INTEGER, Primary Key, Examples: [12, 15, 19]),
(document_code:VARCHAR, Examples: [714, 21... | What document types do have more than 10000 total access number. | SELECT document_type_code FROM documents GROUP BY document_type_code HAVING sum(access_count) > 10000 |
document_management | 【DB_ID】 document_management
【Schema】
# Table: main.Document_Functional_Areas
[
(document_code:VARCHAR, Examples: [675, 930, 217]),
(functional_area_code:VARCHAR, Examples: [9, 1, 8])
]
# Table: main.Document_Sections
[
(section_id:INTEGER, Primary Key, Examples: [12, 15, 19]),
(document_code:VARCHAR, Examples: [714, 21... | Return the codes of the document types that do not have a total access count of over 10000. | SELECT document_type_code FROM documents GROUP BY document_type_code HAVING sum(access_count) > 10000 |
document_management | 【DB_ID】 document_management
【Schema】
# Table: main.Document_Functional_Areas
[
(document_code:VARCHAR, Examples: [675, 930, 217]),
(functional_area_code:VARCHAR, Examples: [9, 1, 8])
]
# Table: main.Document_Sections
[
(section_id:INTEGER, Primary Key, Examples: [12, 15, 19]),
(document_code:VARCHAR, Examples: [714, 21... | What are all the section titles of the document named "David CV"? | SELECT t2.section_title FROM documents AS t1 JOIN document_sections AS t2 ON t1.document_code = t2.document_code WHERE t1.document_name = "David CV" |
document_management | 【DB_ID】 document_management
【Schema】
# Table: main.Document_Functional_Areas
[
(document_code:VARCHAR, Examples: [675, 930, 217]),
(functional_area_code:VARCHAR, Examples: [9, 1, 8])
]
# Table: main.Document_Sections
[
(section_id:INTEGER, Primary Key, Examples: [12, 15, 19]),
(document_code:VARCHAR, Examples: [714, 21... | Give the section titles of the document with the name "David CV". | SELECT t2.section_title FROM documents AS t1 JOIN document_sections AS t2 ON t1.document_code = t2.document_code WHERE t1.document_name = "David CV" |
document_management | 【DB_ID】 document_management
【Schema】
# Table: main.Document_Functional_Areas
[
(document_code:VARCHAR, Examples: [675, 930, 217]),
(functional_area_code:VARCHAR, Examples: [9, 1, 8])
]
# Table: main.Document_Sections
[
(section_id:INTEGER, Primary Key, Examples: [12, 15, 19]),
(document_code:VARCHAR, Examples: [714, 21... | Find all the name of documents without any sections. | SELECT document_name FROM documents WHERE document_code NOT IN (SELECT document_code FROM document_sections) |
document_management | 【DB_ID】 document_management
【Schema】
# Table: main.Document_Functional_Areas
[
(document_code:VARCHAR, Examples: [675, 930, 217]),
(functional_area_code:VARCHAR, Examples: [9, 1, 8])
]
# Table: main.Document_Sections
[
(section_id:INTEGER, Primary Key, Examples: [12, 15, 19]),
(document_code:VARCHAR, Examples: [714, 21... | What are the names of documents that do not have any sections? | SELECT document_name FROM documents WHERE document_code NOT IN (SELECT document_code FROM document_sections) |
document_management | 【DB_ID】 document_management
【Schema】
# Table: main.Document_Functional_Areas
[
(document_code:VARCHAR, Examples: [675, 930, 217]),
(functional_area_code:VARCHAR, Examples: [9, 1, 8])
]
# Table: main.Document_Sections
[
(section_id:INTEGER, Primary Key, Examples: [12, 15, 19]),
(document_code:VARCHAR, Examples: [714, 21... | List all the username and passwords of users with the most popular role. | SELECT user_name , password FROM users GROUP BY role_code ORDER BY count(*) DESC LIMIT 1 |
document_management | 【DB_ID】 document_management
【Schema】
# Table: main.Document_Functional_Areas
[
(document_code:VARCHAR, Examples: [675, 930, 217]),
(functional_area_code:VARCHAR, Examples: [9, 1, 8])
]
# Table: main.Document_Sections
[
(section_id:INTEGER, Primary Key, Examples: [12, 15, 19]),
(document_code:VARCHAR, Examples: [714, 21... | What are the usernames and passwords of users that have the most common role? | SELECT user_name , password FROM users GROUP BY role_code ORDER BY count(*) DESC LIMIT 1 |
document_management | 【DB_ID】 document_management
【Schema】
# Table: main.Document_Functional_Areas
[
(document_code:VARCHAR, Examples: [675, 930, 217]),
(functional_area_code:VARCHAR, Examples: [9, 1, 8])
]
# Table: main.Document_Sections
[
(section_id:INTEGER, Primary Key, Examples: [12, 15, 19]),
(document_code:VARCHAR, Examples: [714, 21... | Find the average access counts of documents with functional area "Acknowledgement". | SELECT avg(t1.access_count) FROM documents AS t1 JOIN document_functional_areas AS t2 ON t1.document_code = t2.document_code JOIN functional_areas AS t3 ON t2.functional_area_code = t3.functional_area_code WHERE t3.functional_area_description = "Acknowledgement" |
document_management | 【DB_ID】 document_management
【Schema】
# Table: main.Document_Functional_Areas
[
(document_code:VARCHAR, Examples: [675, 930, 217]),
(functional_area_code:VARCHAR, Examples: [9, 1, 8])
]
# Table: main.Document_Sections
[
(section_id:INTEGER, Primary Key, Examples: [12, 15, 19]),
(document_code:VARCHAR, Examples: [714, 21... | What are the average access counts of documents that have the functional area description "Acknowledgement"? | SELECT avg(t1.access_count) FROM documents AS t1 JOIN document_functional_areas AS t2 ON t1.document_code = t2.document_code JOIN functional_areas AS t3 ON t2.functional_area_code = t3.functional_area_code WHERE t3.functional_area_description = "Acknowledgement" |
document_management | 【DB_ID】 document_management
【Schema】
# Table: main.Document_Functional_Areas
[
(document_code:VARCHAR, Examples: [675, 930, 217]),
(functional_area_code:VARCHAR, Examples: [9, 1, 8])
]
# Table: main.Document_Sections
[
(section_id:INTEGER, Primary Key, Examples: [12, 15, 19]),
(document_code:VARCHAR, Examples: [714, 21... | Find names of the document without any images. | SELECT document_name FROM documents EXCEPT SELECT t1.document_name FROM documents AS t1 JOIN document_sections AS t2 ON t1.document_code = t2.document_code JOIN document_sections_images AS t3 ON t2.section_id = t3.section_id |
document_management | 【DB_ID】 document_management
【Schema】
# Table: main.Document_Functional_Areas
[
(document_code:VARCHAR, Examples: [675, 930, 217]),
(functional_area_code:VARCHAR, Examples: [9, 1, 8])
]
# Table: main.Document_Sections
[
(section_id:INTEGER, Primary Key, Examples: [12, 15, 19]),
(document_code:VARCHAR, Examples: [714, 21... | What are the names of documents that do not have any images? | SELECT document_name FROM documents EXCEPT SELECT t1.document_name FROM documents AS t1 JOIN document_sections AS t2 ON t1.document_code = t2.document_code JOIN document_sections_images AS t3 ON t2.section_id = t3.section_id |
document_management | 【DB_ID】 document_management
【Schema】
# Table: main.Document_Functional_Areas
[
(document_code:VARCHAR, Examples: [675, 930, 217]),
(functional_area_code:VARCHAR, Examples: [9, 1, 8])
]
# Table: main.Document_Sections
[
(section_id:INTEGER, Primary Key, Examples: [12, 15, 19]),
(document_code:VARCHAR, Examples: [714, 21... | What is the name of the document with the most number of sections? | SELECT t1.document_name FROM documents AS t1 JOIN document_sections AS t2 ON t1.document_code = t2.document_code GROUP BY t1.document_code ORDER BY count(*) DESC LIMIT 1 |
document_management | 【DB_ID】 document_management
【Schema】
# Table: main.Document_Functional_Areas
[
(document_code:VARCHAR, Examples: [675, 930, 217]),
(functional_area_code:VARCHAR, Examples: [9, 1, 8])
]
# Table: main.Document_Sections
[
(section_id:INTEGER, Primary Key, Examples: [12, 15, 19]),
(document_code:VARCHAR, Examples: [714, 21... | Return the name of the document that has the most sections. | SELECT t1.document_name FROM documents AS t1 JOIN document_sections AS t2 ON t1.document_code = t2.document_code GROUP BY t1.document_code ORDER BY count(*) DESC LIMIT 1 |
document_management | 【DB_ID】 document_management
【Schema】
# Table: main.Document_Functional_Areas
[
(document_code:VARCHAR, Examples: [675, 930, 217]),
(functional_area_code:VARCHAR, Examples: [9, 1, 8])
]
# Table: main.Document_Sections
[
(section_id:INTEGER, Primary Key, Examples: [12, 15, 19]),
(document_code:VARCHAR, Examples: [714, 21... | List all the document names which contains "CV". | SELECT document_name FROM documents WHERE document_name LIKE "%CV%" |
document_management | 【DB_ID】 document_management
【Schema】
# Table: main.Document_Functional_Areas
[
(document_code:VARCHAR, Examples: [675, 930, 217]),
(functional_area_code:VARCHAR, Examples: [9, 1, 8])
]
# Table: main.Document_Sections
[
(section_id:INTEGER, Primary Key, Examples: [12, 15, 19]),
(document_code:VARCHAR, Examples: [714, 21... | What are the names of documents that contain the substring "CV"? | SELECT document_name FROM documents WHERE document_name LIKE "%CV%" |
document_management | 【DB_ID】 document_management
【Schema】
# Table: main.Document_Functional_Areas
[
(document_code:VARCHAR, Examples: [675, 930, 217]),
(functional_area_code:VARCHAR, Examples: [9, 1, 8])
]
# Table: main.Document_Sections
[
(section_id:INTEGER, Primary Key, Examples: [12, 15, 19]),
(document_code:VARCHAR, Examples: [714, 21... | How many users are logged in? | SELECT count(*) FROM users WHERE user_login = 1 |
document_management | 【DB_ID】 document_management
【Schema】
# Table: main.Document_Functional_Areas
[
(document_code:VARCHAR, Examples: [675, 930, 217]),
(functional_area_code:VARCHAR, Examples: [9, 1, 8])
]
# Table: main.Document_Sections
[
(section_id:INTEGER, Primary Key, Examples: [12, 15, 19]),
(document_code:VARCHAR, Examples: [714, 21... | Count the number of users that are logged in. | SELECT count(*) FROM users WHERE user_login = 1 |
document_management | 【DB_ID】 document_management
【Schema】
# Table: main.Document_Functional_Areas
[
(document_code:VARCHAR, Examples: [675, 930, 217]),
(functional_area_code:VARCHAR, Examples: [9, 1, 8])
]
# Table: main.Document_Sections
[
(section_id:INTEGER, Primary Key, Examples: [12, 15, 19]),
(document_code:VARCHAR, Examples: [714, 21... | Find the description of the most popular role among the users that have logged in. | SELECT role_description FROM ROLES WHERE role_code = (SELECT role_code FROM users WHERE user_login = 1 GROUP BY role_code ORDER BY count(*) DESC LIMIT 1) |
document_management | 【DB_ID】 document_management
【Schema】
# Table: main.Document_Functional_Areas
[
(document_code:VARCHAR, Examples: [675, 930, 217]),
(functional_area_code:VARCHAR, Examples: [9, 1, 8])
]
# Table: main.Document_Sections
[
(section_id:INTEGER, Primary Key, Examples: [12, 15, 19]),
(document_code:VARCHAR, Examples: [714, 21... | What is the description of the most popular role among users that have logged in? | SELECT role_description FROM ROLES WHERE role_code = (SELECT role_code FROM users WHERE user_login = 1 GROUP BY role_code ORDER BY count(*) DESC LIMIT 1) |
document_management | 【DB_ID】 document_management
【Schema】
# Table: main.Document_Functional_Areas
[
(document_code:VARCHAR, Examples: [675, 930, 217]),
(functional_area_code:VARCHAR, Examples: [9, 1, 8])
]
# Table: main.Document_Sections
[
(section_id:INTEGER, Primary Key, Examples: [12, 15, 19]),
(document_code:VARCHAR, Examples: [714, 21... | Find the average access count of documents with the least popular structure. | SELECT avg(access_count) FROM documents GROUP BY document_structure_code ORDER BY count(*) ASC LIMIT 1 |
document_management | 【DB_ID】 document_management
【Schema】
# Table: main.Document_Functional_Areas
[
(document_code:VARCHAR, Examples: [675, 930, 217]),
(functional_area_code:VARCHAR, Examples: [9, 1, 8])
]
# Table: main.Document_Sections
[
(section_id:INTEGER, Primary Key, Examples: [12, 15, 19]),
(document_code:VARCHAR, Examples: [714, 21... | What is the average access count of documents that have the least common structure? | SELECT avg(access_count) FROM documents GROUP BY document_structure_code ORDER BY count(*) ASC LIMIT 1 |
document_management | 【DB_ID】 document_management
【Schema】
# Table: main.Document_Functional_Areas
[
(document_code:VARCHAR, Examples: [675, 930, 217]),
(functional_area_code:VARCHAR, Examples: [9, 1, 8])
]
# Table: main.Document_Sections
[
(section_id:INTEGER, Primary Key, Examples: [12, 15, 19]),
(document_code:VARCHAR, Examples: [714, 21... | List all the image name and URLs in the order of their names. | SELECT image_name , image_url FROM images ORDER BY image_name |
document_management | 【DB_ID】 document_management
【Schema】
# Table: main.Document_Functional_Areas
[
(document_code:VARCHAR, Examples: [675, 930, 217]),
(functional_area_code:VARCHAR, Examples: [9, 1, 8])
]
# Table: main.Document_Sections
[
(section_id:INTEGER, Primary Key, Examples: [12, 15, 19]),
(document_code:VARCHAR, Examples: [714, 21... | What are the names and urls of images, sorted alphabetically? | SELECT image_name , image_url FROM images ORDER BY image_name |
document_management | 【DB_ID】 document_management
【Schema】
# Table: main.Document_Functional_Areas
[
(document_code:VARCHAR, Examples: [675, 930, 217]),
(functional_area_code:VARCHAR, Examples: [9, 1, 8])
]
# Table: main.Document_Sections
[
(section_id:INTEGER, Primary Key, Examples: [12, 15, 19]),
(document_code:VARCHAR, Examples: [714, 21... | Find the number of users in each role. | SELECT count(*) , role_code FROM users GROUP BY role_code |
document_management | 【DB_ID】 document_management
【Schema】
# Table: main.Document_Functional_Areas
[
(document_code:VARCHAR, Examples: [675, 930, 217]),
(functional_area_code:VARCHAR, Examples: [9, 1, 8])
]
# Table: main.Document_Sections
[
(section_id:INTEGER, Primary Key, Examples: [12, 15, 19]),
(document_code:VARCHAR, Examples: [714, 21... | What are the different role codes for users, and how many users have each? | SELECT count(*) , role_code FROM users GROUP BY role_code |
document_management | 【DB_ID】 document_management
【Schema】
# Table: main.Document_Functional_Areas
[
(document_code:VARCHAR, Examples: [675, 930, 217]),
(functional_area_code:VARCHAR, Examples: [9, 1, 8])
]
# Table: main.Document_Sections
[
(section_id:INTEGER, Primary Key, Examples: [12, 15, 19]),
(document_code:VARCHAR, Examples: [714, 21... | What document types have more than 2 corresponding documents? | SELECT document_type_code FROM documents GROUP BY document_type_code HAVING count(*) > 2 |
document_management | 【DB_ID】 document_management
【Schema】
# Table: main.Document_Functional_Areas
[
(document_code:VARCHAR, Examples: [675, 930, 217]),
(functional_area_code:VARCHAR, Examples: [9, 1, 8])
]
# Table: main.Document_Sections
[
(section_id:INTEGER, Primary Key, Examples: [12, 15, 19]),
(document_code:VARCHAR, Examples: [714, 21... | Give the codes of document types that have more than 2 corresponding documents. | SELECT document_type_code FROM documents GROUP BY document_type_code HAVING count(*) > 2 |
company_office | 【DB_ID】 company_office
【Schema】
# Table: main.Companies
[
(id:INTEGER, Primary Key, Examples: [1, 2, 3]),
(name:TEXT, Examples: [JPMorgan Chase, HSBC, General Electric]),
(Headquarters:TEXT, Examples: [USA, UK, Netherlands]),
(Industry:TEXT, Examples: [Banking, Conglomerate, Oil and gas]),
(Sales_billion:REAL, Examples... | How many companies are there? | SELECT count(*) FROM Companies |
company_office | 【DB_ID】 company_office
【Schema】
# Table: main.Companies
[
(id:INTEGER, Primary Key, Examples: [1, 2, 3]),
(name:TEXT, Examples: [JPMorgan Chase, HSBC, General Electric]),
(Headquarters:TEXT, Examples: [USA, UK, Netherlands]),
(Industry:TEXT, Examples: [Banking, Conglomerate, Oil and gas]),
(Sales_billion:REAL, Examples... | Count the number of companies. | SELECT count(*) FROM Companies |
company_office | 【DB_ID】 company_office
【Schema】
# Table: main.Companies
[
(id:INTEGER, Primary Key, Examples: [1, 2, 3]),
(name:TEXT, Examples: [JPMorgan Chase, HSBC, General Electric]),
(Headquarters:TEXT, Examples: [USA, UK, Netherlands]),
(Industry:TEXT, Examples: [Banking, Conglomerate, Oil and gas]),
(Sales_billion:REAL, Examples... | List the names of companies in descending order of market value. | SELECT name FROM Companies ORDER BY Market_Value_billion DESC |
company_office | 【DB_ID】 company_office
【Schema】
# Table: main.Companies
[
(id:INTEGER, Primary Key, Examples: [1, 2, 3]),
(name:TEXT, Examples: [JPMorgan Chase, HSBC, General Electric]),
(Headquarters:TEXT, Examples: [USA, UK, Netherlands]),
(Industry:TEXT, Examples: [Banking, Conglomerate, Oil and gas]),
(Sales_billion:REAL, Examples... | Sort the company names in descending order of the company's market value. | SELECT name FROM Companies ORDER BY Market_Value_billion DESC |
company_office | 【DB_ID】 company_office
【Schema】
# Table: main.Companies
[
(id:INTEGER, Primary Key, Examples: [1, 2, 3]),
(name:TEXT, Examples: [JPMorgan Chase, HSBC, General Electric]),
(Headquarters:TEXT, Examples: [USA, UK, Netherlands]),
(Industry:TEXT, Examples: [Banking, Conglomerate, Oil and gas]),
(Sales_billion:REAL, Examples... | What are the names of companies whose headquarters are not "USA"? | SELECT name FROM Companies WHERE Headquarters != 'USA' |
company_office | 【DB_ID】 company_office
【Schema】
# Table: main.Companies
[
(id:INTEGER, Primary Key, Examples: [1, 2, 3]),
(name:TEXT, Examples: [JPMorgan Chase, HSBC, General Electric]),
(Headquarters:TEXT, Examples: [USA, UK, Netherlands]),
(Industry:TEXT, Examples: [Banking, Conglomerate, Oil and gas]),
(Sales_billion:REAL, Examples... | Find the names of the companies whose headquarters are not located in "USA". | SELECT name FROM Companies WHERE Headquarters != 'USA' |
company_office | 【DB_ID】 company_office
【Schema】
# Table: main.Companies
[
(id:INTEGER, Primary Key, Examples: [1, 2, 3]),
(name:TEXT, Examples: [JPMorgan Chase, HSBC, General Electric]),
(Headquarters:TEXT, Examples: [USA, UK, Netherlands]),
(Industry:TEXT, Examples: [Banking, Conglomerate, Oil and gas]),
(Sales_billion:REAL, Examples... | What are the name and assets of each company, sorted in ascending order of company name? | SELECT name , Assets_billion FROM Companies ORDER BY name ASC |
company_office | 【DB_ID】 company_office
【Schema】
# Table: main.Companies
[
(id:INTEGER, Primary Key, Examples: [1, 2, 3]),
(name:TEXT, Examples: [JPMorgan Chase, HSBC, General Electric]),
(Headquarters:TEXT, Examples: [USA, UK, Netherlands]),
(Industry:TEXT, Examples: [Banking, Conglomerate, Oil and gas]),
(Sales_billion:REAL, Examples... | List the name and assets of each company in ascending order of company name. | SELECT name , Assets_billion FROM Companies ORDER BY name ASC |
company_office | 【DB_ID】 company_office
【Schema】
# Table: main.Companies
[
(id:INTEGER, Primary Key, Examples: [1, 2, 3]),
(name:TEXT, Examples: [JPMorgan Chase, HSBC, General Electric]),
(Headquarters:TEXT, Examples: [USA, UK, Netherlands]),
(Industry:TEXT, Examples: [Banking, Conglomerate, Oil and gas]),
(Sales_billion:REAL, Examples... | What are the average profits of companies? | SELECT avg(Profits_billion) FROM Companies |
company_office | 【DB_ID】 company_office
【Schema】
# Table: main.Companies
[
(id:INTEGER, Primary Key, Examples: [1, 2, 3]),
(name:TEXT, Examples: [JPMorgan Chase, HSBC, General Electric]),
(Headquarters:TEXT, Examples: [USA, UK, Netherlands]),
(Industry:TEXT, Examples: [Banking, Conglomerate, Oil and gas]),
(Sales_billion:REAL, Examples... | Compute the average profits companies make. | SELECT avg(Profits_billion) FROM Companies |
company_office | 【DB_ID】 company_office
【Schema】
# Table: main.Companies
[
(id:INTEGER, Primary Key, Examples: [1, 2, 3]),
(name:TEXT, Examples: [JPMorgan Chase, HSBC, General Electric]),
(Headquarters:TEXT, Examples: [USA, UK, Netherlands]),
(Industry:TEXT, Examples: [Banking, Conglomerate, Oil and gas]),
(Sales_billion:REAL, Examples... | What are the maximum and minimum sales of the companies whose industries are not "Banking". | SELECT max(Sales_billion) , min(Sales_billion) FROM Companies WHERE Industry != "Banking" |
company_office | 【DB_ID】 company_office
【Schema】
# Table: main.Companies
[
(id:INTEGER, Primary Key, Examples: [1, 2, 3]),
(name:TEXT, Examples: [JPMorgan Chase, HSBC, General Electric]),
(Headquarters:TEXT, Examples: [USA, UK, Netherlands]),
(Industry:TEXT, Examples: [Banking, Conglomerate, Oil and gas]),
(Sales_billion:REAL, Examples... | Find the maximum and minimum sales of the companies that are not in the "Banking" industry. | SELECT max(Sales_billion) , min(Sales_billion) FROM Companies WHERE Industry != "Banking" |
company_office | 【DB_ID】 company_office
【Schema】
# Table: main.Companies
[
(id:INTEGER, Primary Key, Examples: [1, 2, 3]),
(name:TEXT, Examples: [JPMorgan Chase, HSBC, General Electric]),
(Headquarters:TEXT, Examples: [USA, UK, Netherlands]),
(Industry:TEXT, Examples: [Banking, Conglomerate, Oil and gas]),
(Sales_billion:REAL, Examples... | How many different industries are the companies in? | SELECT count(DISTINCT Industry) FROM Companies |
company_office | 【DB_ID】 company_office
【Schema】
# Table: main.Companies
[
(id:INTEGER, Primary Key, Examples: [1, 2, 3]),
(name:TEXT, Examples: [JPMorgan Chase, HSBC, General Electric]),
(Headquarters:TEXT, Examples: [USA, UK, Netherlands]),
(Industry:TEXT, Examples: [Banking, Conglomerate, Oil and gas]),
(Sales_billion:REAL, Examples... | Count the number of distinct company industries. | SELECT count(DISTINCT Industry) FROM Companies |
company_office | 【DB_ID】 company_office
【Schema】
# Table: main.Companies
[
(id:INTEGER, Primary Key, Examples: [1, 2, 3]),
(name:TEXT, Examples: [JPMorgan Chase, HSBC, General Electric]),
(Headquarters:TEXT, Examples: [USA, UK, Netherlands]),
(Industry:TEXT, Examples: [Banking, Conglomerate, Oil and gas]),
(Sales_billion:REAL, Examples... | List the names of buildings in descending order of building height. | SELECT name FROM buildings ORDER BY Height DESC |
company_office | 【DB_ID】 company_office
【Schema】
# Table: main.Companies
[
(id:INTEGER, Primary Key, Examples: [1, 2, 3]),
(name:TEXT, Examples: [JPMorgan Chase, HSBC, General Electric]),
(Headquarters:TEXT, Examples: [USA, UK, Netherlands]),
(Industry:TEXT, Examples: [Banking, Conglomerate, Oil and gas]),
(Sales_billion:REAL, Examples... | What are the names of buildings sorted in descending order of building height? | SELECT name FROM buildings ORDER BY Height DESC |
company_office | 【DB_ID】 company_office
【Schema】
# Table: main.Companies
[
(id:INTEGER, Primary Key, Examples: [1, 2, 3]),
(name:TEXT, Examples: [JPMorgan Chase, HSBC, General Electric]),
(Headquarters:TEXT, Examples: [USA, UK, Netherlands]),
(Industry:TEXT, Examples: [Banking, Conglomerate, Oil and gas]),
(Sales_billion:REAL, Examples... | Find the stories of the building with the largest height. | SELECT Stories FROM buildings ORDER BY Height DESC LIMIT 1 |
company_office | 【DB_ID】 company_office
【Schema】
# Table: main.Companies
[
(id:INTEGER, Primary Key, Examples: [1, 2, 3]),
(name:TEXT, Examples: [JPMorgan Chase, HSBC, General Electric]),
(Headquarters:TEXT, Examples: [USA, UK, Netherlands]),
(Industry:TEXT, Examples: [Banking, Conglomerate, Oil and gas]),
(Sales_billion:REAL, Examples... | What is the stories of highest building? | SELECT Stories FROM buildings ORDER BY Height DESC LIMIT 1 |
company_office | 【DB_ID】 company_office
【Schema】
# Table: main.Companies
[
(id:INTEGER, Primary Key, Examples: [1, 2, 3]),
(name:TEXT, Examples: [JPMorgan Chase, HSBC, General Electric]),
(Headquarters:TEXT, Examples: [USA, UK, Netherlands]),
(Industry:TEXT, Examples: [Banking, Conglomerate, Oil and gas]),
(Sales_billion:REAL, Examples... | List the name of a building along with the name of a company whose office is in the building. | SELECT T3.name , T2.name FROM Office_locations AS T1 JOIN buildings AS T2 ON T1.building_id = T2.id JOIN Companies AS T3 ON T1.company_id = T3.id |
company_office | 【DB_ID】 company_office
【Schema】
# Table: main.Companies
[
(id:INTEGER, Primary Key, Examples: [1, 2, 3]),
(name:TEXT, Examples: [JPMorgan Chase, HSBC, General Electric]),
(Headquarters:TEXT, Examples: [USA, UK, Netherlands]),
(Industry:TEXT, Examples: [Banking, Conglomerate, Oil and gas]),
(Sales_billion:REAL, Examples... | For each company, return the company name and the name of the building its office is located in. | SELECT T3.name , T2.name FROM Office_locations AS T1 JOIN buildings AS T2 ON T1.building_id = T2.id JOIN Companies AS T3 ON T1.company_id = T3.id |
company_office | 【DB_ID】 company_office
【Schema】
# Table: main.Companies
[
(id:INTEGER, Primary Key, Examples: [1, 2, 3]),
(name:TEXT, Examples: [JPMorgan Chase, HSBC, General Electric]),
(Headquarters:TEXT, Examples: [USA, UK, Netherlands]),
(Industry:TEXT, Examples: [Banking, Conglomerate, Oil and gas]),
(Sales_billion:REAL, Examples... | Show the names of the buildings that have more than one company offices. | SELECT T2.name FROM Office_locations AS T1 JOIN buildings AS T2 ON T1.building_id = T2.id JOIN Companies AS T3 ON T1.company_id = T3.id GROUP BY T1.building_id HAVING COUNT(*) > 1 |
company_office | 【DB_ID】 company_office
【Schema】
# Table: main.Companies
[
(id:INTEGER, Primary Key, Examples: [1, 2, 3]),
(name:TEXT, Examples: [JPMorgan Chase, HSBC, General Electric]),
(Headquarters:TEXT, Examples: [USA, UK, Netherlands]),
(Industry:TEXT, Examples: [Banking, Conglomerate, Oil and gas]),
(Sales_billion:REAL, Examples... | Which buildings have more than one company offices? Give me the building names. | SELECT T2.name FROM Office_locations AS T1 JOIN buildings AS T2 ON T1.building_id = T2.id JOIN Companies AS T3 ON T1.company_id = T3.id GROUP BY T1.building_id HAVING COUNT(*) > 1 |
company_office | 【DB_ID】 company_office
【Schema】
# Table: main.Companies
[
(id:INTEGER, Primary Key, Examples: [1, 2, 3]),
(name:TEXT, Examples: [JPMorgan Chase, HSBC, General Electric]),
(Headquarters:TEXT, Examples: [USA, UK, Netherlands]),
(Industry:TEXT, Examples: [Banking, Conglomerate, Oil and gas]),
(Sales_billion:REAL, Examples... | Show the name of the building that has the most company offices. | SELECT T2.name FROM Office_locations AS T1 JOIN buildings AS T2 ON T1.building_id = T2.id JOIN Companies AS T3 ON T1.company_id = T3.id GROUP BY T1.building_id ORDER BY COUNT(*) DESC LIMIT 1 |
company_office | 【DB_ID】 company_office
【Schema】
# Table: main.Companies
[
(id:INTEGER, Primary Key, Examples: [1, 2, 3]),
(name:TEXT, Examples: [JPMorgan Chase, HSBC, General Electric]),
(Headquarters:TEXT, Examples: [USA, UK, Netherlands]),
(Industry:TEXT, Examples: [Banking, Conglomerate, Oil and gas]),
(Sales_billion:REAL, Examples... | Which building has the largest number of company offices? Give me the building name. | SELECT T2.name FROM Office_locations AS T1 JOIN buildings AS T2 ON T1.building_id = T2.id JOIN Companies AS T3 ON T1.company_id = T3.id GROUP BY T1.building_id ORDER BY COUNT(*) DESC LIMIT 1 |
company_office | 【DB_ID】 company_office
【Schema】
# Table: main.Companies
[
(id:INTEGER, Primary Key, Examples: [1, 2, 3]),
(name:TEXT, Examples: [JPMorgan Chase, HSBC, General Electric]),
(Headquarters:TEXT, Examples: [USA, UK, Netherlands]),
(Industry:TEXT, Examples: [Banking, Conglomerate, Oil and gas]),
(Sales_billion:REAL, Examples... | Please show the names of the buildings whose status is "on-hold", in ascending order of stories. | SELECT name FROM buildings WHERE Status = "on-hold" ORDER BY Stories ASC |
company_office | 【DB_ID】 company_office
【Schema】
# Table: main.Companies
[
(id:INTEGER, Primary Key, Examples: [1, 2, 3]),
(name:TEXT, Examples: [JPMorgan Chase, HSBC, General Electric]),
(Headquarters:TEXT, Examples: [USA, UK, Netherlands]),
(Industry:TEXT, Examples: [Banking, Conglomerate, Oil and gas]),
(Sales_billion:REAL, Examples... | Find the names of the buildings in "on-hold" status, and sort them in ascending order of building stories. | SELECT name FROM buildings WHERE Status = "on-hold" ORDER BY Stories ASC |
company_office | 【DB_ID】 company_office
【Schema】
# Table: main.Companies
[
(id:INTEGER, Primary Key, Examples: [1, 2, 3]),
(name:TEXT, Examples: [JPMorgan Chase, HSBC, General Electric]),
(Headquarters:TEXT, Examples: [USA, UK, Netherlands]),
(Industry:TEXT, Examples: [Banking, Conglomerate, Oil and gas]),
(Sales_billion:REAL, Examples... | Please show each industry and the corresponding number of companies in that industry. | SELECT Industry , COUNT(*) FROM Companies GROUP BY Industry |
company_office | 【DB_ID】 company_office
【Schema】
# Table: main.Companies
[
(id:INTEGER, Primary Key, Examples: [1, 2, 3]),
(name:TEXT, Examples: [JPMorgan Chase, HSBC, General Electric]),
(Headquarters:TEXT, Examples: [USA, UK, Netherlands]),
(Industry:TEXT, Examples: [Banking, Conglomerate, Oil and gas]),
(Sales_billion:REAL, Examples... | Whah are the name of each industry and the number of companies in that industry? | SELECT Industry , COUNT(*) FROM Companies GROUP BY Industry |
company_office | 【DB_ID】 company_office
【Schema】
# Table: main.Companies
[
(id:INTEGER, Primary Key, Examples: [1, 2, 3]),
(name:TEXT, Examples: [JPMorgan Chase, HSBC, General Electric]),
(Headquarters:TEXT, Examples: [USA, UK, Netherlands]),
(Industry:TEXT, Examples: [Banking, Conglomerate, Oil and gas]),
(Sales_billion:REAL, Examples... | Please show the industries of companies in descending order of the number of companies. | SELECT Industry FROM Companies GROUP BY Industry ORDER BY COUNT(*) DESC |
company_office | 【DB_ID】 company_office
【Schema】
# Table: main.Companies
[
(id:INTEGER, Primary Key, Examples: [1, 2, 3]),
(name:TEXT, Examples: [JPMorgan Chase, HSBC, General Electric]),
(Headquarters:TEXT, Examples: [USA, UK, Netherlands]),
(Industry:TEXT, Examples: [Banking, Conglomerate, Oil and gas]),
(Sales_billion:REAL, Examples... | Sort all the industries in descending order of the count of companies in each industry | SELECT Industry FROM Companies GROUP BY Industry ORDER BY COUNT(*) DESC |
company_office | 【DB_ID】 company_office
【Schema】
# Table: main.Companies
[
(id:INTEGER, Primary Key, Examples: [1, 2, 3]),
(name:TEXT, Examples: [JPMorgan Chase, HSBC, General Electric]),
(Headquarters:TEXT, Examples: [USA, UK, Netherlands]),
(Industry:TEXT, Examples: [Banking, Conglomerate, Oil and gas]),
(Sales_billion:REAL, Examples... | List the industry shared by the most companies. | SELECT Industry FROM Companies GROUP BY Industry ORDER BY COUNT(*) DESC LIMIT 1 |
company_office | 【DB_ID】 company_office
【Schema】
# Table: main.Companies
[
(id:INTEGER, Primary Key, Examples: [1, 2, 3]),
(name:TEXT, Examples: [JPMorgan Chase, HSBC, General Electric]),
(Headquarters:TEXT, Examples: [USA, UK, Netherlands]),
(Industry:TEXT, Examples: [Banking, Conglomerate, Oil and gas]),
(Sales_billion:REAL, Examples... | Which industry has the most companies? | SELECT Industry FROM Companies GROUP BY Industry ORDER BY COUNT(*) DESC LIMIT 1 |
company_office | 【DB_ID】 company_office
【Schema】
# Table: main.Companies
[
(id:INTEGER, Primary Key, Examples: [1, 2, 3]),
(name:TEXT, Examples: [JPMorgan Chase, HSBC, General Electric]),
(Headquarters:TEXT, Examples: [USA, UK, Netherlands]),
(Industry:TEXT, Examples: [Banking, Conglomerate, Oil and gas]),
(Sales_billion:REAL, Examples... | List the names of buildings that have no company office. | SELECT name FROM buildings WHERE id NOT IN (SELECT building_id FROM Office_locations) |
company_office | 【DB_ID】 company_office
【Schema】
# Table: main.Companies
[
(id:INTEGER, Primary Key, Examples: [1, 2, 3]),
(name:TEXT, Examples: [JPMorgan Chase, HSBC, General Electric]),
(Headquarters:TEXT, Examples: [USA, UK, Netherlands]),
(Industry:TEXT, Examples: [Banking, Conglomerate, Oil and gas]),
(Sales_billion:REAL, Examples... | Which buildings do not have any company office? Give me the building names. | SELECT name FROM buildings WHERE id NOT IN (SELECT building_id FROM Office_locations) |
company_office | 【DB_ID】 company_office
【Schema】
# Table: main.Companies
[
(id:INTEGER, Primary Key, Examples: [1, 2, 3]),
(name:TEXT, Examples: [JPMorgan Chase, HSBC, General Electric]),
(Headquarters:TEXT, Examples: [USA, UK, Netherlands]),
(Industry:TEXT, Examples: [Banking, Conglomerate, Oil and gas]),
(Sales_billion:REAL, Examples... | Show the industries shared by companies whose headquarters are "USA" and companies whose headquarters are "China". | SELECT Industry FROM Companies WHERE Headquarters = "USA" INTERSECT SELECT Industry FROM Companies WHERE Headquarters = "China" |
company_office | 【DB_ID】 company_office
【Schema】
# Table: main.Companies
[
(id:INTEGER, Primary Key, Examples: [1, 2, 3]),
(name:TEXT, Examples: [JPMorgan Chase, HSBC, General Electric]),
(Headquarters:TEXT, Examples: [USA, UK, Netherlands]),
(Industry:TEXT, Examples: [Banking, Conglomerate, Oil and gas]),
(Sales_billion:REAL, Examples... | Which industries have both companies with headquarter in "USA" and companies with headquarter in "China"? | SELECT Industry FROM Companies WHERE Headquarters = "USA" INTERSECT SELECT Industry FROM Companies WHERE Headquarters = "China" |
company_office | 【DB_ID】 company_office
【Schema】
# Table: main.Companies
[
(id:INTEGER, Primary Key, Examples: [1, 2, 3]),
(name:TEXT, Examples: [JPMorgan Chase, HSBC, General Electric]),
(Headquarters:TEXT, Examples: [USA, UK, Netherlands]),
(Industry:TEXT, Examples: [Banking, Conglomerate, Oil and gas]),
(Sales_billion:REAL, Examples... | Find the number of companies whose industry is "Banking" or "Conglomerate", | SELECT count(*) FROM Companies WHERE Industry = "Banking" OR Industry = "Conglomerate" |
company_office | 【DB_ID】 company_office
【Schema】
# Table: main.Companies
[
(id:INTEGER, Primary Key, Examples: [1, 2, 3]),
(name:TEXT, Examples: [JPMorgan Chase, HSBC, General Electric]),
(Headquarters:TEXT, Examples: [USA, UK, Netherlands]),
(Industry:TEXT, Examples: [Banking, Conglomerate, Oil and gas]),
(Sales_billion:REAL, Examples... | How many companies are in either "Banking" industry or "Conglomerate" industry? | SELECT count(*) FROM Companies WHERE Industry = "Banking" OR Industry = "Conglomerate" |
company_office | 【DB_ID】 company_office
【Schema】
# Table: main.Companies
[
(id:INTEGER, Primary Key, Examples: [1, 2, 3]),
(name:TEXT, Examples: [JPMorgan Chase, HSBC, General Electric]),
(Headquarters:TEXT, Examples: [USA, UK, Netherlands]),
(Industry:TEXT, Examples: [Banking, Conglomerate, Oil and gas]),
(Sales_billion:REAL, Examples... | Show the headquarters shared by more than two companies. | SELECT Headquarters FROM Companies GROUP BY Headquarters HAVING COUNT(*) > 2 |
company_office | 【DB_ID】 company_office
【Schema】
# Table: main.Companies
[
(id:INTEGER, Primary Key, Examples: [1, 2, 3]),
(name:TEXT, Examples: [JPMorgan Chase, HSBC, General Electric]),
(Headquarters:TEXT, Examples: [USA, UK, Netherlands]),
(Industry:TEXT, Examples: [Banking, Conglomerate, Oil and gas]),
(Sales_billion:REAL, Examples... | Which headquarter locations are used by more than 2 companies? | SELECT Headquarters FROM Companies GROUP BY Headquarters HAVING COUNT(*) > 2 |
solvency_ii | 【DB_ID】 solvency_ii
【Schema】
# Table: main.Addresses
[
(Address_ID:INTEGER, Primary Key, Examples: [1, 2, 3]),
(address_details:VARCHAR)
]
# Table: main.Agreements
[
(Document_ID:INTEGER, Primary Key, Examples: [1, 2, 3]),
(Event_ID:INTEGER, Examples: [13, 15, 9])
]
# Table: main.Assets
[
(Asset_ID:INTEGER, Primary Key... | How many products are there? | SELECT count(*) FROM Products |
solvency_ii | 【DB_ID】 solvency_ii
【Schema】
# Table: main.Addresses
[
(Address_ID:INTEGER, Primary Key, Examples: [1, 2, 3]),
(address_details:VARCHAR)
]
# Table: main.Agreements
[
(Document_ID:INTEGER, Primary Key, Examples: [1, 2, 3]),
(Event_ID:INTEGER, Examples: [13, 15, 9])
]
# Table: main.Assets
[
(Asset_ID:INTEGER, Primary Key... | List the name of products in ascending order of price. | SELECT Product_Name FROM Products ORDER BY Product_Price ASC |
solvency_ii | 【DB_ID】 solvency_ii
【Schema】
# Table: main.Addresses
[
(Address_ID:INTEGER, Primary Key, Examples: [1, 2, 3]),
(address_details:VARCHAR)
]
# Table: main.Agreements
[
(Document_ID:INTEGER, Primary Key, Examples: [1, 2, 3]),
(Event_ID:INTEGER, Examples: [13, 15, 9])
]
# Table: main.Assets
[
(Asset_ID:INTEGER, Primary Key... | What are the names and type codes of products? | SELECT Product_Name , Product_Type_Code FROM Products |
solvency_ii | 【DB_ID】 solvency_ii
【Schema】
# Table: main.Addresses
[
(Address_ID:INTEGER, Primary Key, Examples: [1, 2, 3]),
(address_details:VARCHAR)
]
# Table: main.Agreements
[
(Document_ID:INTEGER, Primary Key, Examples: [1, 2, 3]),
(Event_ID:INTEGER, Examples: [13, 15, 9])
]
# Table: main.Assets
[
(Asset_ID:INTEGER, Primary Key... | Show the prices of the products named "Dining" or "Trading Policy". | SELECT Product_Price FROM Products WHERE Product_Name = "Dining" OR Product_Name = "Trading Policy" |
solvency_ii | 【DB_ID】 solvency_ii
【Schema】
# Table: main.Addresses
[
(Address_ID:INTEGER, Primary Key, Examples: [1, 2, 3]),
(address_details:VARCHAR)
]
# Table: main.Agreements
[
(Document_ID:INTEGER, Primary Key, Examples: [1, 2, 3]),
(Event_ID:INTEGER, Examples: [13, 15, 9])
]
# Table: main.Assets
[
(Asset_ID:INTEGER, Primary Key... | What is the average price for products? | SELECT avg(Product_Price) FROM Products |
solvency_ii | 【DB_ID】 solvency_ii
【Schema】
# Table: main.Addresses
[
(Address_ID:INTEGER, Primary Key, Examples: [1, 2, 3]),
(address_details:VARCHAR)
]
# Table: main.Agreements
[
(Document_ID:INTEGER, Primary Key, Examples: [1, 2, 3]),
(Event_ID:INTEGER, Examples: [13, 15, 9])
]
# Table: main.Assets
[
(Asset_ID:INTEGER, Primary Key... | What is the name of the product with the highest price? | SELECT Product_Name FROM Products ORDER BY Product_Price DESC LIMIT 1 |
solvency_ii | 【DB_ID】 solvency_ii
【Schema】
# Table: main.Addresses
[
(Address_ID:INTEGER, Primary Key, Examples: [1, 2, 3]),
(address_details:VARCHAR)
]
# Table: main.Agreements
[
(Document_ID:INTEGER, Primary Key, Examples: [1, 2, 3]),
(Event_ID:INTEGER, Examples: [13, 15, 9])
]
# Table: main.Assets
[
(Asset_ID:INTEGER, Primary Key... | Show different type codes of products and the number of products with each type code. | SELECT Product_Type_Code , COUNT(*) FROM Products GROUP BY Product_Type_Code |
solvency_ii | 【DB_ID】 solvency_ii
【Schema】
# Table: main.Addresses
[
(Address_ID:INTEGER, Primary Key, Examples: [1, 2, 3]),
(address_details:VARCHAR)
]
# Table: main.Agreements
[
(Document_ID:INTEGER, Primary Key, Examples: [1, 2, 3]),
(Event_ID:INTEGER, Examples: [13, 15, 9])
]
# Table: main.Assets
[
(Asset_ID:INTEGER, Primary Key... | Show the most common type code across products. | SELECT Product_Type_Code FROM Products GROUP BY Product_Type_Code ORDER BY COUNT(*) DESC LIMIT 1 |
solvency_ii | 【DB_ID】 solvency_ii
【Schema】
# Table: main.Addresses
[
(Address_ID:INTEGER, Primary Key, Examples: [1, 2, 3]),
(address_details:VARCHAR)
]
# Table: main.Agreements
[
(Document_ID:INTEGER, Primary Key, Examples: [1, 2, 3]),
(Event_ID:INTEGER, Examples: [13, 15, 9])
]
# Table: main.Assets
[
(Asset_ID:INTEGER, Primary Key... | Show the product type codes that have at least two products. | SELECT Product_Type_Code FROM Products GROUP BY Product_Type_Code HAVING COUNT(*) >= 2 |
solvency_ii | 【DB_ID】 solvency_ii
【Schema】
# Table: main.Addresses
[
(Address_ID:INTEGER, Primary Key, Examples: [1, 2, 3]),
(address_details:VARCHAR)
]
# Table: main.Agreements
[
(Document_ID:INTEGER, Primary Key, Examples: [1, 2, 3]),
(Event_ID:INTEGER, Examples: [13, 15, 9])
]
# Table: main.Assets
[
(Asset_ID:INTEGER, Primary Key... | Show the product type codes that have both products with price higher than 4500 and products with price lower than 3000. | SELECT Product_Type_Code FROM Products WHERE Product_Price > 4500 INTERSECT SELECT Product_Type_Code FROM Products WHERE Product_Price < 3000 |
solvency_ii | 【DB_ID】 solvency_ii
【Schema】
# Table: main.Addresses
[
(Address_ID:INTEGER, Primary Key, Examples: [1, 2, 3]),
(address_details:VARCHAR)
]
# Table: main.Agreements
[
(Document_ID:INTEGER, Primary Key, Examples: [1, 2, 3]),
(Event_ID:INTEGER, Examples: [13, 15, 9])
]
# Table: main.Assets
[
(Asset_ID:INTEGER, Primary Key... | Show the names of products and the number of events they are in. | SELECT T1.Product_Name , COUNT(*) FROM Products AS T1 JOIN Products_in_Events AS T2 ON T1.Product_ID = T2.Product_ID GROUP BY T1.Product_Name |
solvency_ii | 【DB_ID】 solvency_ii
【Schema】
# Table: main.Addresses
[
(Address_ID:INTEGER, Primary Key, Examples: [1, 2, 3]),
(address_details:VARCHAR)
]
# Table: main.Agreements
[
(Document_ID:INTEGER, Primary Key, Examples: [1, 2, 3]),
(Event_ID:INTEGER, Examples: [13, 15, 9])
]
# Table: main.Assets
[
(Asset_ID:INTEGER, Primary Key... | Show the names of products and the number of events they are in, sorted by the number of events in descending order. | SELECT T1.Product_Name , COUNT(*) FROM Products AS T1 JOIN Products_in_Events AS T2 ON T1.Product_ID = T2.Product_ID GROUP BY T1.Product_Name ORDER BY COUNT(*) DESC |
solvency_ii | 【DB_ID】 solvency_ii
【Schema】
# Table: main.Addresses
[
(Address_ID:INTEGER, Primary Key, Examples: [1, 2, 3]),
(address_details:VARCHAR)
]
# Table: main.Agreements
[
(Document_ID:INTEGER, Primary Key, Examples: [1, 2, 3]),
(Event_ID:INTEGER, Examples: [13, 15, 9])
]
# Table: main.Assets
[
(Asset_ID:INTEGER, Primary Key... | Show the names of products that are in at least two events. | SELECT T1.Product_Name FROM Products AS T1 JOIN Products_in_Events AS T2 ON T1.Product_ID = T2.Product_ID GROUP BY T1.Product_Name HAVING COUNT(*) >= 2 |
solvency_ii | 【DB_ID】 solvency_ii
【Schema】
# Table: main.Addresses
[
(Address_ID:INTEGER, Primary Key, Examples: [1, 2, 3]),
(address_details:VARCHAR)
]
# Table: main.Agreements
[
(Document_ID:INTEGER, Primary Key, Examples: [1, 2, 3]),
(Event_ID:INTEGER, Examples: [13, 15, 9])
]
# Table: main.Assets
[
(Asset_ID:INTEGER, Primary Key... | Show the names of products that are in at least two events in ascending alphabetical order of product name. | SELECT T1.Product_Name FROM Products AS T1 JOIN Products_in_Events AS T2 ON T1.Product_ID = T2.Product_ID GROUP BY T1.Product_Name HAVING COUNT(*) >= 2 ORDER BY T1.Product_Name |
solvency_ii | 【DB_ID】 solvency_ii
【Schema】
# Table: main.Addresses
[
(Address_ID:INTEGER, Primary Key, Examples: [1, 2, 3]),
(address_details:VARCHAR)
]
# Table: main.Agreements
[
(Document_ID:INTEGER, Primary Key, Examples: [1, 2, 3]),
(Event_ID:INTEGER, Examples: [13, 15, 9])
]
# Table: main.Assets
[
(Asset_ID:INTEGER, Primary Key... | List the names of products that are not in any event. | SELECT Product_Name FROM Products WHERE Product_ID NOT IN (SELECT Product_ID FROM Products_in_Events) |
entertainment_awards | 【DB_ID】 entertainment_awards
【Schema】
# Table: main.artwork
[
(Artwork_ID:INTEGER, Primary Key, Examples: [1, 2, 3]),
(Type:TEXT, Examples: [Program Music/Variety Show]),
(Name:TEXT, Examples: [Indonesian Idol, I Know, Loving you])
]
# Table: main.festival_detail
[
(Festival_ID:INTEGER, Primary Key, Examples: [1, 2, 3]... | How many artworks are there? | SELECT count(*) FROM artwork |
entertainment_awards | 【DB_ID】 entertainment_awards
【Schema】
# Table: main.artwork
[
(Artwork_ID:INTEGER, Primary Key, Examples: [1, 2, 3]),
(Type:TEXT, Examples: [Program Music/Variety Show]),
(Name:TEXT, Examples: [Indonesian Idol, I Know, Loving you])
]
# Table: main.festival_detail
[
(Festival_ID:INTEGER, Primary Key, Examples: [1, 2, 3]... | List the name of artworks in ascending alphabetical order. | SELECT Name FROM artwork ORDER BY Name ASC |
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