db_name
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|---|---|
document_management
|
### Complete SQL query only and with no explanation
### SQL tables followed by foreign key information:
#
# Roles ( role_code, role_description )
# Users ( user_id, role_code, user_name, user_login, password )
# Document_Structures ( document_structure_code, parent_document_structure_code, document_structure_description )
# Functional_Areas ( functional_area_code, parent_functional_area_code, functional_area_description )
# Images ( image_id, image_alt_text, image_name, image_url )
# Documents ( document_code, document_structure_code, document_type_code, access_count, document_name )
# Document_Functional_Areas ( document_code, functional_area_code )
# Document_Sections ( section_id, document_code, section_sequence, section_code, section_title )
# Document_Sections_Images ( section_id, image_id )
#
# Users.role_code can be joined with Roles.role_code
# Documents.document_structure_code can be joined with Document_Structures.document_structure_code
# Document_Functional_Areas.functional_area_code can be joined with Functional_Areas.functional_area_code
# Document_Functional_Areas.document_code can be joined with Documents.document_code
# Document_Sections.document_code can be joined with Documents.document_code
# Document_Sections_Images.image_id can be joined with Images.image_id
# Document_Sections_Images.section_id can be joined with Document_Sections.section_id
#
### Question:
#
# What are the names of all the documents, as well as the access counts of each, ordered alphabetically?
#
### SQL:
#
# SELECT document_name , access_count FROM documents ORDER BY document_name
#
### End.
|
document_management
|
### Complete SQL query only and with no explanation
### SQL tables followed by foreign key information:
#
# Roles ( role_code, role_description )
# Users ( user_id, role_code, user_name, user_login, password )
# Document_Structures ( document_structure_code, parent_document_structure_code, document_structure_description )
# Functional_Areas ( functional_area_code, parent_functional_area_code, functional_area_description )
# Images ( image_id, image_alt_text, image_name, image_url )
# Documents ( document_code, document_structure_code, document_type_code, access_count, document_name )
# Document_Functional_Areas ( document_code, functional_area_code )
# Document_Sections ( section_id, document_code, section_sequence, section_code, section_title )
# Document_Sections_Images ( section_id, image_id )
#
# Users.role_code can be joined with Roles.role_code
# Documents.document_structure_code can be joined with Document_Structures.document_structure_code
# Document_Functional_Areas.functional_area_code can be joined with Functional_Areas.functional_area_code
# Document_Functional_Areas.document_code can be joined with Documents.document_code
# Document_Sections.document_code can be joined with Documents.document_code
# Document_Sections_Images.image_id can be joined with Images.image_id
# Document_Sections_Images.section_id can be joined with Document_Sections.section_id
#
### Question:
#
# 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?
#
### SQL:
#
# SELECT document_name , access_count FROM documents ORDER BY access_count DESC LIMIT 1
#
### End.
|
document_management
|
### Complete SQL query only and with no explanation
### SQL tables followed by foreign key information:
#
# Roles ( role_code, role_description )
# Users ( user_id, role_code, user_name, user_login, password )
# Document_Structures ( document_structure_code, parent_document_structure_code, document_structure_description )
# Functional_Areas ( functional_area_code, parent_functional_area_code, functional_area_description )
# Images ( image_id, image_alt_text, image_name, image_url )
# Documents ( document_code, document_structure_code, document_type_code, access_count, document_name )
# Document_Functional_Areas ( document_code, functional_area_code )
# Document_Sections ( section_id, document_code, section_sequence, section_code, section_title )
# Document_Sections_Images ( section_id, image_id )
#
# Users.role_code can be joined with Roles.role_code
# Documents.document_structure_code can be joined with Document_Structures.document_structure_code
# Document_Functional_Areas.functional_area_code can be joined with Functional_Areas.functional_area_code
# Document_Functional_Areas.document_code can be joined with Documents.document_code
# Document_Sections.document_code can be joined with Documents.document_code
# Document_Sections_Images.image_id can be joined with Images.image_id
# Document_Sections_Images.section_id can be joined with Document_Sections.section_id
#
### Question:
#
# 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?
#
### SQL:
#
# SELECT document_name , access_count FROM documents ORDER BY access_count DESC LIMIT 1
#
### End.
|
document_management
|
### Complete SQL query only and with no explanation
### SQL tables followed by foreign key information:
#
# Roles ( role_code, role_description )
# Users ( user_id, role_code, user_name, user_login, password )
# Document_Structures ( document_structure_code, parent_document_structure_code, document_structure_description )
# Functional_Areas ( functional_area_code, parent_functional_area_code, functional_area_description )
# Images ( image_id, image_alt_text, image_name, image_url )
# Documents ( document_code, document_structure_code, document_type_code, access_count, document_name )
# Document_Functional_Areas ( document_code, functional_area_code )
# Document_Sections ( section_id, document_code, section_sequence, section_code, section_title )
# Document_Sections_Images ( section_id, image_id )
#
# Users.role_code can be joined with Roles.role_code
# Documents.document_structure_code can be joined with Document_Structures.document_structure_code
# Document_Functional_Areas.functional_area_code can be joined with Functional_Areas.functional_area_code
# Document_Functional_Areas.document_code can be joined with Documents.document_code
# Document_Sections.document_code can be joined with Documents.document_code
# Document_Sections_Images.image_id can be joined with Images.image_id
# Document_Sections_Images.section_id can be joined with Document_Sections.section_id
#
### Question:
#
# Find the types of documents with more than 4 documents.
#
### SQL:
#
# SELECT document_type_code FROM documents GROUP BY document_type_code HAVING count(*) > 4
#
### End.
|
document_management
|
### Complete SQL query only and with no explanation
### SQL tables followed by foreign key information:
#
# Roles ( role_code, role_description )
# Users ( user_id, role_code, user_name, user_login, password )
# Document_Structures ( document_structure_code, parent_document_structure_code, document_structure_description )
# Functional_Areas ( functional_area_code, parent_functional_area_code, functional_area_description )
# Images ( image_id, image_alt_text, image_name, image_url )
# Documents ( document_code, document_structure_code, document_type_code, access_count, document_name )
# Document_Functional_Areas ( document_code, functional_area_code )
# Document_Sections ( section_id, document_code, section_sequence, section_code, section_title )
# Document_Sections_Images ( section_id, image_id )
#
# Users.role_code can be joined with Roles.role_code
# Documents.document_structure_code can be joined with Document_Structures.document_structure_code
# Document_Functional_Areas.functional_area_code can be joined with Functional_Areas.functional_area_code
# Document_Functional_Areas.document_code can be joined with Documents.document_code
# Document_Sections.document_code can be joined with Documents.document_code
# Document_Sections_Images.image_id can be joined with Images.image_id
# Document_Sections_Images.section_id can be joined with Document_Sections.section_id
#
### Question:
#
# What are the codes of types of documents of which there are for or more?
#
### SQL:
#
# SELECT document_type_code FROM documents GROUP BY document_type_code HAVING count(*) > 4
#
### End.
|
document_management
|
### Complete SQL query only and with no explanation
### SQL tables followed by foreign key information:
#
# Roles ( role_code, role_description )
# Users ( user_id, role_code, user_name, user_login, password )
# Document_Structures ( document_structure_code, parent_document_structure_code, document_structure_description )
# Functional_Areas ( functional_area_code, parent_functional_area_code, functional_area_description )
# Images ( image_id, image_alt_text, image_name, image_url )
# Documents ( document_code, document_structure_code, document_type_code, access_count, document_name )
# Document_Functional_Areas ( document_code, functional_area_code )
# Document_Sections ( section_id, document_code, section_sequence, section_code, section_title )
# Document_Sections_Images ( section_id, image_id )
#
# Users.role_code can be joined with Roles.role_code
# Documents.document_structure_code can be joined with Document_Structures.document_structure_code
# Document_Functional_Areas.functional_area_code can be joined with Functional_Areas.functional_area_code
# Document_Functional_Areas.document_code can be joined with Documents.document_code
# Document_Sections.document_code can be joined with Documents.document_code
# Document_Sections_Images.image_id can be joined with Images.image_id
# Document_Sections_Images.section_id can be joined with Document_Sections.section_id
#
### Question:
#
# Find the total access count of all documents in the most popular document type.
#
### SQL:
#
# SELECT sum(access_count) FROM documents GROUP BY document_type_code ORDER BY count(*) DESC LIMIT 1
#
### End.
|
document_management
|
### Complete SQL query only and with no explanation
### SQL tables followed by foreign key information:
#
# Roles ( role_code, role_description )
# Users ( user_id, role_code, user_name, user_login, password )
# Document_Structures ( document_structure_code, parent_document_structure_code, document_structure_description )
# Functional_Areas ( functional_area_code, parent_functional_area_code, functional_area_description )
# Images ( image_id, image_alt_text, image_name, image_url )
# Documents ( document_code, document_structure_code, document_type_code, access_count, document_name )
# Document_Functional_Areas ( document_code, functional_area_code )
# Document_Sections ( section_id, document_code, section_sequence, section_code, section_title )
# Document_Sections_Images ( section_id, image_id )
#
# Users.role_code can be joined with Roles.role_code
# Documents.document_structure_code can be joined with Document_Structures.document_structure_code
# Document_Functional_Areas.functional_area_code can be joined with Functional_Areas.functional_area_code
# Document_Functional_Areas.document_code can be joined with Documents.document_code
# Document_Sections.document_code can be joined with Documents.document_code
# Document_Sections_Images.image_id can be joined with Images.image_id
# Document_Sections_Images.section_id can be joined with Document_Sections.section_id
#
### Question:
#
# What is the total access count of documents that are of the most common document type?
#
### SQL:
#
# SELECT sum(access_count) FROM documents GROUP BY document_type_code ORDER BY count(*) DESC LIMIT 1
#
### End.
|
document_management
|
### Complete SQL query only and with no explanation
### SQL tables followed by foreign key information:
#
# Roles ( role_code, role_description )
# Users ( user_id, role_code, user_name, user_login, password )
# Document_Structures ( document_structure_code, parent_document_structure_code, document_structure_description )
# Functional_Areas ( functional_area_code, parent_functional_area_code, functional_area_description )
# Images ( image_id, image_alt_text, image_name, image_url )
# Documents ( document_code, document_structure_code, document_type_code, access_count, document_name )
# Document_Functional_Areas ( document_code, functional_area_code )
# Document_Sections ( section_id, document_code, section_sequence, section_code, section_title )
# Document_Sections_Images ( section_id, image_id )
#
# Users.role_code can be joined with Roles.role_code
# Documents.document_structure_code can be joined with Document_Structures.document_structure_code
# Document_Functional_Areas.functional_area_code can be joined with Functional_Areas.functional_area_code
# Document_Functional_Areas.document_code can be joined with Documents.document_code
# Document_Sections.document_code can be joined with Documents.document_code
# Document_Sections_Images.image_id can be joined with Images.image_id
# Document_Sections_Images.section_id can be joined with Document_Sections.section_id
#
### Question:
#
# What is the average access count of documents?
#
### SQL:
#
# SELECT avg(access_count) FROM documents
#
### End.
|
document_management
|
### Complete SQL query only and with no explanation
### SQL tables followed by foreign key information:
#
# Roles ( role_code, role_description )
# Users ( user_id, role_code, user_name, user_login, password )
# Document_Structures ( document_structure_code, parent_document_structure_code, document_structure_description )
# Functional_Areas ( functional_area_code, parent_functional_area_code, functional_area_description )
# Images ( image_id, image_alt_text, image_name, image_url )
# Documents ( document_code, document_structure_code, document_type_code, access_count, document_name )
# Document_Functional_Areas ( document_code, functional_area_code )
# Document_Sections ( section_id, document_code, section_sequence, section_code, section_title )
# Document_Sections_Images ( section_id, image_id )
#
# Users.role_code can be joined with Roles.role_code
# Documents.document_structure_code can be joined with Document_Structures.document_structure_code
# Document_Functional_Areas.functional_area_code can be joined with Functional_Areas.functional_area_code
# Document_Functional_Areas.document_code can be joined with Documents.document_code
# Document_Sections.document_code can be joined with Documents.document_code
# Document_Sections_Images.image_id can be joined with Images.image_id
# Document_Sections_Images.section_id can be joined with Document_Sections.section_id
#
### Question:
#
# Find the average access count across all documents?
#
### SQL:
#
# SELECT avg(access_count) FROM documents
#
### End.
|
document_management
|
### Complete SQL query only and with no explanation
### SQL tables followed by foreign key information:
#
# Roles ( role_code, role_description )
# Users ( user_id, role_code, user_name, user_login, password )
# Document_Structures ( document_structure_code, parent_document_structure_code, document_structure_description )
# Functional_Areas ( functional_area_code, parent_functional_area_code, functional_area_description )
# Images ( image_id, image_alt_text, image_name, image_url )
# Documents ( document_code, document_structure_code, document_type_code, access_count, document_name )
# Document_Functional_Areas ( document_code, functional_area_code )
# Document_Sections ( section_id, document_code, section_sequence, section_code, section_title )
# Document_Sections_Images ( section_id, image_id )
#
# Users.role_code can be joined with Roles.role_code
# Documents.document_structure_code can be joined with Document_Structures.document_structure_code
# Document_Functional_Areas.functional_area_code can be joined with Functional_Areas.functional_area_code
# Document_Functional_Areas.document_code can be joined with Documents.document_code
# Document_Sections.document_code can be joined with Documents.document_code
# Document_Sections_Images.image_id can be joined with Images.image_id
# Document_Sections_Images.section_id can be joined with Document_Sections.section_id
#
### Question:
#
# What is the structure of the document with the least number of accesses?
#
### SQL:
#
# 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
#
### End.
|
document_management
|
### Complete SQL query only and with no explanation
### SQL tables followed by foreign key information:
#
# Roles ( role_code, role_description )
# Users ( user_id, role_code, user_name, user_login, password )
# Document_Structures ( document_structure_code, parent_document_structure_code, document_structure_description )
# Functional_Areas ( functional_area_code, parent_functional_area_code, functional_area_description )
# Images ( image_id, image_alt_text, image_name, image_url )
# Documents ( document_code, document_structure_code, document_type_code, access_count, document_name )
# Document_Functional_Areas ( document_code, functional_area_code )
# Document_Sections ( section_id, document_code, section_sequence, section_code, section_title )
# Document_Sections_Images ( section_id, image_id )
#
# Users.role_code can be joined with Roles.role_code
# Documents.document_structure_code can be joined with Document_Structures.document_structure_code
# Document_Functional_Areas.functional_area_code can be joined with Functional_Areas.functional_area_code
# Document_Functional_Areas.document_code can be joined with Documents.document_code
# Document_Sections.document_code can be joined with Documents.document_code
# Document_Sections_Images.image_id can be joined with Images.image_id
# Document_Sections_Images.section_id can be joined with Document_Sections.section_id
#
### Question:
#
# Return the structure description of the document that has been accessed the fewest number of times.
#
### SQL:
#
# 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
#
### End.
|
document_management
|
### Complete SQL query only and with no explanation
### SQL tables followed by foreign key information:
#
# Roles ( role_code, role_description )
# Users ( user_id, role_code, user_name, user_login, password )
# Document_Structures ( document_structure_code, parent_document_structure_code, document_structure_description )
# Functional_Areas ( functional_area_code, parent_functional_area_code, functional_area_description )
# Images ( image_id, image_alt_text, image_name, image_url )
# Documents ( document_code, document_structure_code, document_type_code, access_count, document_name )
# Document_Functional_Areas ( document_code, functional_area_code )
# Document_Sections ( section_id, document_code, section_sequence, section_code, section_title )
# Document_Sections_Images ( section_id, image_id )
#
# Users.role_code can be joined with Roles.role_code
# Documents.document_structure_code can be joined with Document_Structures.document_structure_code
# Document_Functional_Areas.functional_area_code can be joined with Functional_Areas.functional_area_code
# Document_Functional_Areas.document_code can be joined with Documents.document_code
# Document_Sections.document_code can be joined with Documents.document_code
# Document_Sections_Images.image_id can be joined with Images.image_id
# Document_Sections_Images.section_id can be joined with Document_Sections.section_id
#
### Question:
#
# What is the type of the document named "David CV"?
#
### SQL:
#
# SELECT document_type_code FROM documents WHERE document_name = "David CV"
#
### End.
|
document_management
|
### Complete SQL query only and with no explanation
### SQL tables followed by foreign key information:
#
# Roles ( role_code, role_description )
# Users ( user_id, role_code, user_name, user_login, password )
# Document_Structures ( document_structure_code, parent_document_structure_code, document_structure_description )
# Functional_Areas ( functional_area_code, parent_functional_area_code, functional_area_description )
# Images ( image_id, image_alt_text, image_name, image_url )
# Documents ( document_code, document_structure_code, document_type_code, access_count, document_name )
# Document_Functional_Areas ( document_code, functional_area_code )
# Document_Sections ( section_id, document_code, section_sequence, section_code, section_title )
# Document_Sections_Images ( section_id, image_id )
#
# Users.role_code can be joined with Roles.role_code
# Documents.document_structure_code can be joined with Document_Structures.document_structure_code
# Document_Functional_Areas.functional_area_code can be joined with Functional_Areas.functional_area_code
# Document_Functional_Areas.document_code can be joined with Documents.document_code
# Document_Sections.document_code can be joined with Documents.document_code
# Document_Sections_Images.image_id can be joined with Images.image_id
# Document_Sections_Images.section_id can be joined with Document_Sections.section_id
#
### Question:
#
# Return the type code of the document named "David CV".
#
### SQL:
#
# SELECT document_type_code FROM documents WHERE document_name = "David CV"
#
### End.
|
document_management
|
### Complete SQL query only and with no explanation
### SQL tables followed by foreign key information:
#
# Roles ( role_code, role_description )
# Users ( user_id, role_code, user_name, user_login, password )
# Document_Structures ( document_structure_code, parent_document_structure_code, document_structure_description )
# Functional_Areas ( functional_area_code, parent_functional_area_code, functional_area_description )
# Images ( image_id, image_alt_text, image_name, image_url )
# Documents ( document_code, document_structure_code, document_type_code, access_count, document_name )
# Document_Functional_Areas ( document_code, functional_area_code )
# Document_Sections ( section_id, document_code, section_sequence, section_code, section_title )
# Document_Sections_Images ( section_id, image_id )
#
# Users.role_code can be joined with Roles.role_code
# Documents.document_structure_code can be joined with Document_Structures.document_structure_code
# Document_Functional_Areas.functional_area_code can be joined with Functional_Areas.functional_area_code
# Document_Functional_Areas.document_code can be joined with Documents.document_code
# Document_Sections.document_code can be joined with Documents.document_code
# Document_Sections_Images.image_id can be joined with Images.image_id
# Document_Sections_Images.section_id can be joined with Document_Sections.section_id
#
### Question:
#
# Find the list of documents that are both in the most three popular type and have the most three popular structure.
#
### SQL:
#
# 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
#
### End.
|
document_management
|
### Complete SQL query only and with no explanation
### SQL tables followed by foreign key information:
#
# Roles ( role_code, role_description )
# Users ( user_id, role_code, user_name, user_login, password )
# Document_Structures ( document_structure_code, parent_document_structure_code, document_structure_description )
# Functional_Areas ( functional_area_code, parent_functional_area_code, functional_area_description )
# Images ( image_id, image_alt_text, image_name, image_url )
# Documents ( document_code, document_structure_code, document_type_code, access_count, document_name )
# Document_Functional_Areas ( document_code, functional_area_code )
# Document_Sections ( section_id, document_code, section_sequence, section_code, section_title )
# Document_Sections_Images ( section_id, image_id )
#
# Users.role_code can be joined with Roles.role_code
# Documents.document_structure_code can be joined with Document_Structures.document_structure_code
# Document_Functional_Areas.functional_area_code can be joined with Functional_Areas.functional_area_code
# Document_Functional_Areas.document_code can be joined with Documents.document_code
# Document_Sections.document_code can be joined with Documents.document_code
# Document_Sections_Images.image_id can be joined with Images.image_id
# Document_Sections_Images.section_id can be joined with Document_Sections.section_id
#
### Question:
#
# What are the names of documents that have both one of the three most common types and one of three most common structures?
#
### SQL:
#
# 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
#
### End.
|
document_management
|
### Complete SQL query only and with no explanation
### SQL tables followed by foreign key information:
#
# Roles ( role_code, role_description )
# Users ( user_id, role_code, user_name, user_login, password )
# Document_Structures ( document_structure_code, parent_document_structure_code, document_structure_description )
# Functional_Areas ( functional_area_code, parent_functional_area_code, functional_area_description )
# Images ( image_id, image_alt_text, image_name, image_url )
# Documents ( document_code, document_structure_code, document_type_code, access_count, document_name )
# Document_Functional_Areas ( document_code, functional_area_code )
# Document_Sections ( section_id, document_code, section_sequence, section_code, section_title )
# Document_Sections_Images ( section_id, image_id )
#
# Users.role_code can be joined with Roles.role_code
# Documents.document_structure_code can be joined with Document_Structures.document_structure_code
# Document_Functional_Areas.functional_area_code can be joined with Functional_Areas.functional_area_code
# Document_Functional_Areas.document_code can be joined with Documents.document_code
# Document_Sections.document_code can be joined with Documents.document_code
# Document_Sections_Images.image_id can be joined with Images.image_id
# Document_Sections_Images.section_id can be joined with Document_Sections.section_id
#
### Question:
#
# What document types do have more than 10000 total access number.
#
### SQL:
#
# SELECT document_type_code FROM documents GROUP BY document_type_code HAVING sum(access_count) > 10000
#
### End.
|
document_management
|
### Complete SQL query only and with no explanation
### SQL tables followed by foreign key information:
#
# Roles ( role_code, role_description )
# Users ( user_id, role_code, user_name, user_login, password )
# Document_Structures ( document_structure_code, parent_document_structure_code, document_structure_description )
# Functional_Areas ( functional_area_code, parent_functional_area_code, functional_area_description )
# Images ( image_id, image_alt_text, image_name, image_url )
# Documents ( document_code, document_structure_code, document_type_code, access_count, document_name )
# Document_Functional_Areas ( document_code, functional_area_code )
# Document_Sections ( section_id, document_code, section_sequence, section_code, section_title )
# Document_Sections_Images ( section_id, image_id )
#
# Users.role_code can be joined with Roles.role_code
# Documents.document_structure_code can be joined with Document_Structures.document_structure_code
# Document_Functional_Areas.functional_area_code can be joined with Functional_Areas.functional_area_code
# Document_Functional_Areas.document_code can be joined with Documents.document_code
# Document_Sections.document_code can be joined with Documents.document_code
# Document_Sections_Images.image_id can be joined with Images.image_id
# Document_Sections_Images.section_id can be joined with Document_Sections.section_id
#
### Question:
#
# Return the codes of the document types that do not have a total access count of over 10000.
#
### SQL:
#
# SELECT document_type_code FROM documents GROUP BY document_type_code HAVING sum(access_count) > 10000
#
### End.
|
document_management
|
### Complete SQL query only and with no explanation
### SQL tables followed by foreign key information:
#
# Roles ( role_code, role_description )
# Users ( user_id, role_code, user_name, user_login, password )
# Document_Structures ( document_structure_code, parent_document_structure_code, document_structure_description )
# Functional_Areas ( functional_area_code, parent_functional_area_code, functional_area_description )
# Images ( image_id, image_alt_text, image_name, image_url )
# Documents ( document_code, document_structure_code, document_type_code, access_count, document_name )
# Document_Functional_Areas ( document_code, functional_area_code )
# Document_Sections ( section_id, document_code, section_sequence, section_code, section_title )
# Document_Sections_Images ( section_id, image_id )
#
# Users.role_code can be joined with Roles.role_code
# Documents.document_structure_code can be joined with Document_Structures.document_structure_code
# Document_Functional_Areas.functional_area_code can be joined with Functional_Areas.functional_area_code
# Document_Functional_Areas.document_code can be joined with Documents.document_code
# Document_Sections.document_code can be joined with Documents.document_code
# Document_Sections_Images.image_id can be joined with Images.image_id
# Document_Sections_Images.section_id can be joined with Document_Sections.section_id
#
### Question:
#
# What are all the section titles of the document named "David CV"?
#
### SQL:
#
# 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"
#
### End.
|
document_management
|
### Complete SQL query only and with no explanation
### SQL tables followed by foreign key information:
#
# Roles ( role_code, role_description )
# Users ( user_id, role_code, user_name, user_login, password )
# Document_Structures ( document_structure_code, parent_document_structure_code, document_structure_description )
# Functional_Areas ( functional_area_code, parent_functional_area_code, functional_area_description )
# Images ( image_id, image_alt_text, image_name, image_url )
# Documents ( document_code, document_structure_code, document_type_code, access_count, document_name )
# Document_Functional_Areas ( document_code, functional_area_code )
# Document_Sections ( section_id, document_code, section_sequence, section_code, section_title )
# Document_Sections_Images ( section_id, image_id )
#
# Users.role_code can be joined with Roles.role_code
# Documents.document_structure_code can be joined with Document_Structures.document_structure_code
# Document_Functional_Areas.functional_area_code can be joined with Functional_Areas.functional_area_code
# Document_Functional_Areas.document_code can be joined with Documents.document_code
# Document_Sections.document_code can be joined with Documents.document_code
# Document_Sections_Images.image_id can be joined with Images.image_id
# Document_Sections_Images.section_id can be joined with Document_Sections.section_id
#
### Question:
#
# Give the section titles of the document with the name "David CV".
#
### SQL:
#
# 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"
#
### End.
|
document_management
|
### Complete SQL query only and with no explanation
### SQL tables followed by foreign key information:
#
# Roles ( role_code, role_description )
# Users ( user_id, role_code, user_name, user_login, password )
# Document_Structures ( document_structure_code, parent_document_structure_code, document_structure_description )
# Functional_Areas ( functional_area_code, parent_functional_area_code, functional_area_description )
# Images ( image_id, image_alt_text, image_name, image_url )
# Documents ( document_code, document_structure_code, document_type_code, access_count, document_name )
# Document_Functional_Areas ( document_code, functional_area_code )
# Document_Sections ( section_id, document_code, section_sequence, section_code, section_title )
# Document_Sections_Images ( section_id, image_id )
#
# Users.role_code can be joined with Roles.role_code
# Documents.document_structure_code can be joined with Document_Structures.document_structure_code
# Document_Functional_Areas.functional_area_code can be joined with Functional_Areas.functional_area_code
# Document_Functional_Areas.document_code can be joined with Documents.document_code
# Document_Sections.document_code can be joined with Documents.document_code
# Document_Sections_Images.image_id can be joined with Images.image_id
# Document_Sections_Images.section_id can be joined with Document_Sections.section_id
#
### Question:
#
# Find all the name of documents without any sections.
#
### SQL:
#
# SELECT document_name FROM documents WHERE document_code NOT IN (SELECT document_code FROM document_sections)
#
### End.
|
document_management
|
### Complete SQL query only and with no explanation
### SQL tables followed by foreign key information:
#
# Roles ( role_code, role_description )
# Users ( user_id, role_code, user_name, user_login, password )
# Document_Structures ( document_structure_code, parent_document_structure_code, document_structure_description )
# Functional_Areas ( functional_area_code, parent_functional_area_code, functional_area_description )
# Images ( image_id, image_alt_text, image_name, image_url )
# Documents ( document_code, document_structure_code, document_type_code, access_count, document_name )
# Document_Functional_Areas ( document_code, functional_area_code )
# Document_Sections ( section_id, document_code, section_sequence, section_code, section_title )
# Document_Sections_Images ( section_id, image_id )
#
# Users.role_code can be joined with Roles.role_code
# Documents.document_structure_code can be joined with Document_Structures.document_structure_code
# Document_Functional_Areas.functional_area_code can be joined with Functional_Areas.functional_area_code
# Document_Functional_Areas.document_code can be joined with Documents.document_code
# Document_Sections.document_code can be joined with Documents.document_code
# Document_Sections_Images.image_id can be joined with Images.image_id
# Document_Sections_Images.section_id can be joined with Document_Sections.section_id
#
### Question:
#
# What are the names of documents that do not have any sections?
#
### SQL:
#
# SELECT document_name FROM documents WHERE document_code NOT IN (SELECT document_code FROM document_sections)
#
### End.
|
document_management
|
### Complete SQL query only and with no explanation
### SQL tables followed by foreign key information:
#
# Roles ( role_code, role_description )
# Users ( user_id, role_code, user_name, user_login, password )
# Document_Structures ( document_structure_code, parent_document_structure_code, document_structure_description )
# Functional_Areas ( functional_area_code, parent_functional_area_code, functional_area_description )
# Images ( image_id, image_alt_text, image_name, image_url )
# Documents ( document_code, document_structure_code, document_type_code, access_count, document_name )
# Document_Functional_Areas ( document_code, functional_area_code )
# Document_Sections ( section_id, document_code, section_sequence, section_code, section_title )
# Document_Sections_Images ( section_id, image_id )
#
# Users.role_code can be joined with Roles.role_code
# Documents.document_structure_code can be joined with Document_Structures.document_structure_code
# Document_Functional_Areas.functional_area_code can be joined with Functional_Areas.functional_area_code
# Document_Functional_Areas.document_code can be joined with Documents.document_code
# Document_Sections.document_code can be joined with Documents.document_code
# Document_Sections_Images.image_id can be joined with Images.image_id
# Document_Sections_Images.section_id can be joined with Document_Sections.section_id
#
### Question:
#
# List all the username and passwords of users with the most popular role.
#
### SQL:
#
# SELECT user_name , password FROM users GROUP BY role_code ORDER BY count(*) DESC LIMIT 1
#
### End.
|
document_management
|
### Complete SQL query only and with no explanation
### SQL tables followed by foreign key information:
#
# Roles ( role_code, role_description )
# Users ( user_id, role_code, user_name, user_login, password )
# Document_Structures ( document_structure_code, parent_document_structure_code, document_structure_description )
# Functional_Areas ( functional_area_code, parent_functional_area_code, functional_area_description )
# Images ( image_id, image_alt_text, image_name, image_url )
# Documents ( document_code, document_structure_code, document_type_code, access_count, document_name )
# Document_Functional_Areas ( document_code, functional_area_code )
# Document_Sections ( section_id, document_code, section_sequence, section_code, section_title )
# Document_Sections_Images ( section_id, image_id )
#
# Users.role_code can be joined with Roles.role_code
# Documents.document_structure_code can be joined with Document_Structures.document_structure_code
# Document_Functional_Areas.functional_area_code can be joined with Functional_Areas.functional_area_code
# Document_Functional_Areas.document_code can be joined with Documents.document_code
# Document_Sections.document_code can be joined with Documents.document_code
# Document_Sections_Images.image_id can be joined with Images.image_id
# Document_Sections_Images.section_id can be joined with Document_Sections.section_id
#
### Question:
#
# What are the usernames and passwords of users that have the most common role?
#
### SQL:
#
# SELECT user_name , password FROM users GROUP BY role_code ORDER BY count(*) DESC LIMIT 1
#
### End.
|
document_management
|
### Complete SQL query only and with no explanation
### SQL tables followed by foreign key information:
#
# Roles ( role_code, role_description )
# Users ( user_id, role_code, user_name, user_login, password )
# Document_Structures ( document_structure_code, parent_document_structure_code, document_structure_description )
# Functional_Areas ( functional_area_code, parent_functional_area_code, functional_area_description )
# Images ( image_id, image_alt_text, image_name, image_url )
# Documents ( document_code, document_structure_code, document_type_code, access_count, document_name )
# Document_Functional_Areas ( document_code, functional_area_code )
# Document_Sections ( section_id, document_code, section_sequence, section_code, section_title )
# Document_Sections_Images ( section_id, image_id )
#
# Users.role_code can be joined with Roles.role_code
# Documents.document_structure_code can be joined with Document_Structures.document_structure_code
# Document_Functional_Areas.functional_area_code can be joined with Functional_Areas.functional_area_code
# Document_Functional_Areas.document_code can be joined with Documents.document_code
# Document_Sections.document_code can be joined with Documents.document_code
# Document_Sections_Images.image_id can be joined with Images.image_id
# Document_Sections_Images.section_id can be joined with Document_Sections.section_id
#
### Question:
#
# Find the average access counts of documents with functional area "Acknowledgement".
#
### SQL:
#
# 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"
#
### End.
|
document_management
|
### Complete SQL query only and with no explanation
### SQL tables followed by foreign key information:
#
# Roles ( role_code, role_description )
# Users ( user_id, role_code, user_name, user_login, password )
# Document_Structures ( document_structure_code, parent_document_structure_code, document_structure_description )
# Functional_Areas ( functional_area_code, parent_functional_area_code, functional_area_description )
# Images ( image_id, image_alt_text, image_name, image_url )
# Documents ( document_code, document_structure_code, document_type_code, access_count, document_name )
# Document_Functional_Areas ( document_code, functional_area_code )
# Document_Sections ( section_id, document_code, section_sequence, section_code, section_title )
# Document_Sections_Images ( section_id, image_id )
#
# Users.role_code can be joined with Roles.role_code
# Documents.document_structure_code can be joined with Document_Structures.document_structure_code
# Document_Functional_Areas.functional_area_code can be joined with Functional_Areas.functional_area_code
# Document_Functional_Areas.document_code can be joined with Documents.document_code
# Document_Sections.document_code can be joined with Documents.document_code
# Document_Sections_Images.image_id can be joined with Images.image_id
# Document_Sections_Images.section_id can be joined with Document_Sections.section_id
#
### Question:
#
# What are the average access counts of documents that have the functional area description "Acknowledgement"?
#
### SQL:
#
# 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"
#
### End.
|
document_management
|
### Complete SQL query only and with no explanation
### SQL tables followed by foreign key information:
#
# Roles ( role_code, role_description )
# Users ( user_id, role_code, user_name, user_login, password )
# Document_Structures ( document_structure_code, parent_document_structure_code, document_structure_description )
# Functional_Areas ( functional_area_code, parent_functional_area_code, functional_area_description )
# Images ( image_id, image_alt_text, image_name, image_url )
# Documents ( document_code, document_structure_code, document_type_code, access_count, document_name )
# Document_Functional_Areas ( document_code, functional_area_code )
# Document_Sections ( section_id, document_code, section_sequence, section_code, section_title )
# Document_Sections_Images ( section_id, image_id )
#
# Users.role_code can be joined with Roles.role_code
# Documents.document_structure_code can be joined with Document_Structures.document_structure_code
# Document_Functional_Areas.functional_area_code can be joined with Functional_Areas.functional_area_code
# Document_Functional_Areas.document_code can be joined with Documents.document_code
# Document_Sections.document_code can be joined with Documents.document_code
# Document_Sections_Images.image_id can be joined with Images.image_id
# Document_Sections_Images.section_id can be joined with Document_Sections.section_id
#
### Question:
#
# Find names of the document without any images.
#
### SQL:
#
# 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
#
### End.
|
document_management
|
### Complete SQL query only and with no explanation
### SQL tables followed by foreign key information:
#
# Roles ( role_code, role_description )
# Users ( user_id, role_code, user_name, user_login, password )
# Document_Structures ( document_structure_code, parent_document_structure_code, document_structure_description )
# Functional_Areas ( functional_area_code, parent_functional_area_code, functional_area_description )
# Images ( image_id, image_alt_text, image_name, image_url )
# Documents ( document_code, document_structure_code, document_type_code, access_count, document_name )
# Document_Functional_Areas ( document_code, functional_area_code )
# Document_Sections ( section_id, document_code, section_sequence, section_code, section_title )
# Document_Sections_Images ( section_id, image_id )
#
# Users.role_code can be joined with Roles.role_code
# Documents.document_structure_code can be joined with Document_Structures.document_structure_code
# Document_Functional_Areas.functional_area_code can be joined with Functional_Areas.functional_area_code
# Document_Functional_Areas.document_code can be joined with Documents.document_code
# Document_Sections.document_code can be joined with Documents.document_code
# Document_Sections_Images.image_id can be joined with Images.image_id
# Document_Sections_Images.section_id can be joined with Document_Sections.section_id
#
### Question:
#
# What are the names of documents that do not have any images?
#
### SQL:
#
# 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
#
### End.
|
document_management
|
### Complete SQL query only and with no explanation
### SQL tables followed by foreign key information:
#
# Roles ( role_code, role_description )
# Users ( user_id, role_code, user_name, user_login, password )
# Document_Structures ( document_structure_code, parent_document_structure_code, document_structure_description )
# Functional_Areas ( functional_area_code, parent_functional_area_code, functional_area_description )
# Images ( image_id, image_alt_text, image_name, image_url )
# Documents ( document_code, document_structure_code, document_type_code, access_count, document_name )
# Document_Functional_Areas ( document_code, functional_area_code )
# Document_Sections ( section_id, document_code, section_sequence, section_code, section_title )
# Document_Sections_Images ( section_id, image_id )
#
# Users.role_code can be joined with Roles.role_code
# Documents.document_structure_code can be joined with Document_Structures.document_structure_code
# Document_Functional_Areas.functional_area_code can be joined with Functional_Areas.functional_area_code
# Document_Functional_Areas.document_code can be joined with Documents.document_code
# Document_Sections.document_code can be joined with Documents.document_code
# Document_Sections_Images.image_id can be joined with Images.image_id
# Document_Sections_Images.section_id can be joined with Document_Sections.section_id
#
### Question:
#
# What is the name of the document with the most number of sections?
#
### SQL:
#
# 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
#
### End.
|
document_management
|
### Complete SQL query only and with no explanation
### SQL tables followed by foreign key information:
#
# Roles ( role_code, role_description )
# Users ( user_id, role_code, user_name, user_login, password )
# Document_Structures ( document_structure_code, parent_document_structure_code, document_structure_description )
# Functional_Areas ( functional_area_code, parent_functional_area_code, functional_area_description )
# Images ( image_id, image_alt_text, image_name, image_url )
# Documents ( document_code, document_structure_code, document_type_code, access_count, document_name )
# Document_Functional_Areas ( document_code, functional_area_code )
# Document_Sections ( section_id, document_code, section_sequence, section_code, section_title )
# Document_Sections_Images ( section_id, image_id )
#
# Users.role_code can be joined with Roles.role_code
# Documents.document_structure_code can be joined with Document_Structures.document_structure_code
# Document_Functional_Areas.functional_area_code can be joined with Functional_Areas.functional_area_code
# Document_Functional_Areas.document_code can be joined with Documents.document_code
# Document_Sections.document_code can be joined with Documents.document_code
# Document_Sections_Images.image_id can be joined with Images.image_id
# Document_Sections_Images.section_id can be joined with Document_Sections.section_id
#
### Question:
#
# Return the name of the document that has the most sections.
#
### SQL:
#
# 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
#
### End.
|
document_management
|
### Complete SQL query only and with no explanation
### SQL tables followed by foreign key information:
#
# Roles ( role_code, role_description )
# Users ( user_id, role_code, user_name, user_login, password )
# Document_Structures ( document_structure_code, parent_document_structure_code, document_structure_description )
# Functional_Areas ( functional_area_code, parent_functional_area_code, functional_area_description )
# Images ( image_id, image_alt_text, image_name, image_url )
# Documents ( document_code, document_structure_code, document_type_code, access_count, document_name )
# Document_Functional_Areas ( document_code, functional_area_code )
# Document_Sections ( section_id, document_code, section_sequence, section_code, section_title )
# Document_Sections_Images ( section_id, image_id )
#
# Users.role_code can be joined with Roles.role_code
# Documents.document_structure_code can be joined with Document_Structures.document_structure_code
# Document_Functional_Areas.functional_area_code can be joined with Functional_Areas.functional_area_code
# Document_Functional_Areas.document_code can be joined with Documents.document_code
# Document_Sections.document_code can be joined with Documents.document_code
# Document_Sections_Images.image_id can be joined with Images.image_id
# Document_Sections_Images.section_id can be joined with Document_Sections.section_id
#
### Question:
#
# List all the document names which contains "CV".
#
### SQL:
#
# SELECT document_name FROM documents WHERE document_name LIKE "%CV%"
#
### End.
|
document_management
|
### Complete SQL query only and with no explanation
### SQL tables followed by foreign key information:
#
# Roles ( role_code, role_description )
# Users ( user_id, role_code, user_name, user_login, password )
# Document_Structures ( document_structure_code, parent_document_structure_code, document_structure_description )
# Functional_Areas ( functional_area_code, parent_functional_area_code, functional_area_description )
# Images ( image_id, image_alt_text, image_name, image_url )
# Documents ( document_code, document_structure_code, document_type_code, access_count, document_name )
# Document_Functional_Areas ( document_code, functional_area_code )
# Document_Sections ( section_id, document_code, section_sequence, section_code, section_title )
# Document_Sections_Images ( section_id, image_id )
#
# Users.role_code can be joined with Roles.role_code
# Documents.document_structure_code can be joined with Document_Structures.document_structure_code
# Document_Functional_Areas.functional_area_code can be joined with Functional_Areas.functional_area_code
# Document_Functional_Areas.document_code can be joined with Documents.document_code
# Document_Sections.document_code can be joined with Documents.document_code
# Document_Sections_Images.image_id can be joined with Images.image_id
# Document_Sections_Images.section_id can be joined with Document_Sections.section_id
#
### Question:
#
# What are the names of documents that contain the substring "CV"?
#
### SQL:
#
# SELECT document_name FROM documents WHERE document_name LIKE "%CV%"
#
### End.
|
document_management
|
### Complete SQL query only and with no explanation
### SQL tables followed by foreign key information:
#
# Roles ( role_code, role_description )
# Users ( user_id, role_code, user_name, user_login, password )
# Document_Structures ( document_structure_code, parent_document_structure_code, document_structure_description )
# Functional_Areas ( functional_area_code, parent_functional_area_code, functional_area_description )
# Images ( image_id, image_alt_text, image_name, image_url )
# Documents ( document_code, document_structure_code, document_type_code, access_count, document_name )
# Document_Functional_Areas ( document_code, functional_area_code )
# Document_Sections ( section_id, document_code, section_sequence, section_code, section_title )
# Document_Sections_Images ( section_id, image_id )
#
# Users.role_code can be joined with Roles.role_code
# Documents.document_structure_code can be joined with Document_Structures.document_structure_code
# Document_Functional_Areas.functional_area_code can be joined with Functional_Areas.functional_area_code
# Document_Functional_Areas.document_code can be joined with Documents.document_code
# Document_Sections.document_code can be joined with Documents.document_code
# Document_Sections_Images.image_id can be joined with Images.image_id
# Document_Sections_Images.section_id can be joined with Document_Sections.section_id
#
### Question:
#
# How many users are logged in?
#
### SQL:
#
# SELECT count(*) FROM users WHERE user_login = 1
#
### End.
|
document_management
|
### Complete SQL query only and with no explanation
### SQL tables followed by foreign key information:
#
# Roles ( role_code, role_description )
# Users ( user_id, role_code, user_name, user_login, password )
# Document_Structures ( document_structure_code, parent_document_structure_code, document_structure_description )
# Functional_Areas ( functional_area_code, parent_functional_area_code, functional_area_description )
# Images ( image_id, image_alt_text, image_name, image_url )
# Documents ( document_code, document_structure_code, document_type_code, access_count, document_name )
# Document_Functional_Areas ( document_code, functional_area_code )
# Document_Sections ( section_id, document_code, section_sequence, section_code, section_title )
# Document_Sections_Images ( section_id, image_id )
#
# Users.role_code can be joined with Roles.role_code
# Documents.document_structure_code can be joined with Document_Structures.document_structure_code
# Document_Functional_Areas.functional_area_code can be joined with Functional_Areas.functional_area_code
# Document_Functional_Areas.document_code can be joined with Documents.document_code
# Document_Sections.document_code can be joined with Documents.document_code
# Document_Sections_Images.image_id can be joined with Images.image_id
# Document_Sections_Images.section_id can be joined with Document_Sections.section_id
#
### Question:
#
# Count the number of users that are logged in.
#
### SQL:
#
# SELECT count(*) FROM users WHERE user_login = 1
#
### End.
|
document_management
|
### Complete SQL query only and with no explanation
### SQL tables followed by foreign key information:
#
# Roles ( role_code, role_description )
# Users ( user_id, role_code, user_name, user_login, password )
# Document_Structures ( document_structure_code, parent_document_structure_code, document_structure_description )
# Functional_Areas ( functional_area_code, parent_functional_area_code, functional_area_description )
# Images ( image_id, image_alt_text, image_name, image_url )
# Documents ( document_code, document_structure_code, document_type_code, access_count, document_name )
# Document_Functional_Areas ( document_code, functional_area_code )
# Document_Sections ( section_id, document_code, section_sequence, section_code, section_title )
# Document_Sections_Images ( section_id, image_id )
#
# Users.role_code can be joined with Roles.role_code
# Documents.document_structure_code can be joined with Document_Structures.document_structure_code
# Document_Functional_Areas.functional_area_code can be joined with Functional_Areas.functional_area_code
# Document_Functional_Areas.document_code can be joined with Documents.document_code
# Document_Sections.document_code can be joined with Documents.document_code
# Document_Sections_Images.image_id can be joined with Images.image_id
# Document_Sections_Images.section_id can be joined with Document_Sections.section_id
#
### Question:
#
# Find the description of the most popular role among the users that have logged in.
#
### SQL:
#
# 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)
#
### End.
|
document_management
|
### Complete SQL query only and with no explanation
### SQL tables followed by foreign key information:
#
# Roles ( role_code, role_description )
# Users ( user_id, role_code, user_name, user_login, password )
# Document_Structures ( document_structure_code, parent_document_structure_code, document_structure_description )
# Functional_Areas ( functional_area_code, parent_functional_area_code, functional_area_description )
# Images ( image_id, image_alt_text, image_name, image_url )
# Documents ( document_code, document_structure_code, document_type_code, access_count, document_name )
# Document_Functional_Areas ( document_code, functional_area_code )
# Document_Sections ( section_id, document_code, section_sequence, section_code, section_title )
# Document_Sections_Images ( section_id, image_id )
#
# Users.role_code can be joined with Roles.role_code
# Documents.document_structure_code can be joined with Document_Structures.document_structure_code
# Document_Functional_Areas.functional_area_code can be joined with Functional_Areas.functional_area_code
# Document_Functional_Areas.document_code can be joined with Documents.document_code
# Document_Sections.document_code can be joined with Documents.document_code
# Document_Sections_Images.image_id can be joined with Images.image_id
# Document_Sections_Images.section_id can be joined with Document_Sections.section_id
#
### Question:
#
# What is the description of the most popular role among users that have logged in?
#
### SQL:
#
# 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)
#
### End.
|
document_management
|
### Complete SQL query only and with no explanation
### SQL tables followed by foreign key information:
#
# Roles ( role_code, role_description )
# Users ( user_id, role_code, user_name, user_login, password )
# Document_Structures ( document_structure_code, parent_document_structure_code, document_structure_description )
# Functional_Areas ( functional_area_code, parent_functional_area_code, functional_area_description )
# Images ( image_id, image_alt_text, image_name, image_url )
# Documents ( document_code, document_structure_code, document_type_code, access_count, document_name )
# Document_Functional_Areas ( document_code, functional_area_code )
# Document_Sections ( section_id, document_code, section_sequence, section_code, section_title )
# Document_Sections_Images ( section_id, image_id )
#
# Users.role_code can be joined with Roles.role_code
# Documents.document_structure_code can be joined with Document_Structures.document_structure_code
# Document_Functional_Areas.functional_area_code can be joined with Functional_Areas.functional_area_code
# Document_Functional_Areas.document_code can be joined with Documents.document_code
# Document_Sections.document_code can be joined with Documents.document_code
# Document_Sections_Images.image_id can be joined with Images.image_id
# Document_Sections_Images.section_id can be joined with Document_Sections.section_id
#
### Question:
#
# Find the average access count of documents with the least popular structure.
#
### SQL:
#
# SELECT avg(access_count) FROM documents GROUP BY document_structure_code ORDER BY count(*) ASC LIMIT 1
#
### End.
|
document_management
|
### Complete SQL query only and with no explanation
### SQL tables followed by foreign key information:
#
# Roles ( role_code, role_description )
# Users ( user_id, role_code, user_name, user_login, password )
# Document_Structures ( document_structure_code, parent_document_structure_code, document_structure_description )
# Functional_Areas ( functional_area_code, parent_functional_area_code, functional_area_description )
# Images ( image_id, image_alt_text, image_name, image_url )
# Documents ( document_code, document_structure_code, document_type_code, access_count, document_name )
# Document_Functional_Areas ( document_code, functional_area_code )
# Document_Sections ( section_id, document_code, section_sequence, section_code, section_title )
# Document_Sections_Images ( section_id, image_id )
#
# Users.role_code can be joined with Roles.role_code
# Documents.document_structure_code can be joined with Document_Structures.document_structure_code
# Document_Functional_Areas.functional_area_code can be joined with Functional_Areas.functional_area_code
# Document_Functional_Areas.document_code can be joined with Documents.document_code
# Document_Sections.document_code can be joined with Documents.document_code
# Document_Sections_Images.image_id can be joined with Images.image_id
# Document_Sections_Images.section_id can be joined with Document_Sections.section_id
#
### Question:
#
# What is the average access count of documents that have the least common structure?
#
### SQL:
#
# SELECT avg(access_count) FROM documents GROUP BY document_structure_code ORDER BY count(*) ASC LIMIT 1
#
### End.
|
document_management
|
### Complete SQL query only and with no explanation
### SQL tables followed by foreign key information:
#
# Roles ( role_code, role_description )
# Users ( user_id, role_code, user_name, user_login, password )
# Document_Structures ( document_structure_code, parent_document_structure_code, document_structure_description )
# Functional_Areas ( functional_area_code, parent_functional_area_code, functional_area_description )
# Images ( image_id, image_alt_text, image_name, image_url )
# Documents ( document_code, document_structure_code, document_type_code, access_count, document_name )
# Document_Functional_Areas ( document_code, functional_area_code )
# Document_Sections ( section_id, document_code, section_sequence, section_code, section_title )
# Document_Sections_Images ( section_id, image_id )
#
# Users.role_code can be joined with Roles.role_code
# Documents.document_structure_code can be joined with Document_Structures.document_structure_code
# Document_Functional_Areas.functional_area_code can be joined with Functional_Areas.functional_area_code
# Document_Functional_Areas.document_code can be joined with Documents.document_code
# Document_Sections.document_code can be joined with Documents.document_code
# Document_Sections_Images.image_id can be joined with Images.image_id
# Document_Sections_Images.section_id can be joined with Document_Sections.section_id
#
### Question:
#
# List all the image name and URLs in the order of their names.
#
### SQL:
#
# SELECT image_name , image_url FROM images ORDER BY image_name
#
### End.
|
document_management
|
### Complete SQL query only and with no explanation
### SQL tables followed by foreign key information:
#
# Roles ( role_code, role_description )
# Users ( user_id, role_code, user_name, user_login, password )
# Document_Structures ( document_structure_code, parent_document_structure_code, document_structure_description )
# Functional_Areas ( functional_area_code, parent_functional_area_code, functional_area_description )
# Images ( image_id, image_alt_text, image_name, image_url )
# Documents ( document_code, document_structure_code, document_type_code, access_count, document_name )
# Document_Functional_Areas ( document_code, functional_area_code )
# Document_Sections ( section_id, document_code, section_sequence, section_code, section_title )
# Document_Sections_Images ( section_id, image_id )
#
# Users.role_code can be joined with Roles.role_code
# Documents.document_structure_code can be joined with Document_Structures.document_structure_code
# Document_Functional_Areas.functional_area_code can be joined with Functional_Areas.functional_area_code
# Document_Functional_Areas.document_code can be joined with Documents.document_code
# Document_Sections.document_code can be joined with Documents.document_code
# Document_Sections_Images.image_id can be joined with Images.image_id
# Document_Sections_Images.section_id can be joined with Document_Sections.section_id
#
### Question:
#
# What are the names and urls of images, sorted alphabetically?
#
### SQL:
#
# SELECT image_name , image_url FROM images ORDER BY image_name
#
### End.
|
document_management
|
### Complete SQL query only and with no explanation
### SQL tables followed by foreign key information:
#
# Roles ( role_code, role_description )
# Users ( user_id, role_code, user_name, user_login, password )
# Document_Structures ( document_structure_code, parent_document_structure_code, document_structure_description )
# Functional_Areas ( functional_area_code, parent_functional_area_code, functional_area_description )
# Images ( image_id, image_alt_text, image_name, image_url )
# Documents ( document_code, document_structure_code, document_type_code, access_count, document_name )
# Document_Functional_Areas ( document_code, functional_area_code )
# Document_Sections ( section_id, document_code, section_sequence, section_code, section_title )
# Document_Sections_Images ( section_id, image_id )
#
# Users.role_code can be joined with Roles.role_code
# Documents.document_structure_code can be joined with Document_Structures.document_structure_code
# Document_Functional_Areas.functional_area_code can be joined with Functional_Areas.functional_area_code
# Document_Functional_Areas.document_code can be joined with Documents.document_code
# Document_Sections.document_code can be joined with Documents.document_code
# Document_Sections_Images.image_id can be joined with Images.image_id
# Document_Sections_Images.section_id can be joined with Document_Sections.section_id
#
### Question:
#
# Find the number of users in each role.
#
### SQL:
#
# SELECT count(*) , role_code FROM users GROUP BY role_code
#
### End.
|
document_management
|
### Complete SQL query only and with no explanation
### SQL tables followed by foreign key information:
#
# Roles ( role_code, role_description )
# Users ( user_id, role_code, user_name, user_login, password )
# Document_Structures ( document_structure_code, parent_document_structure_code, document_structure_description )
# Functional_Areas ( functional_area_code, parent_functional_area_code, functional_area_description )
# Images ( image_id, image_alt_text, image_name, image_url )
# Documents ( document_code, document_structure_code, document_type_code, access_count, document_name )
# Document_Functional_Areas ( document_code, functional_area_code )
# Document_Sections ( section_id, document_code, section_sequence, section_code, section_title )
# Document_Sections_Images ( section_id, image_id )
#
# Users.role_code can be joined with Roles.role_code
# Documents.document_structure_code can be joined with Document_Structures.document_structure_code
# Document_Functional_Areas.functional_area_code can be joined with Functional_Areas.functional_area_code
# Document_Functional_Areas.document_code can be joined with Documents.document_code
# Document_Sections.document_code can be joined with Documents.document_code
# Document_Sections_Images.image_id can be joined with Images.image_id
# Document_Sections_Images.section_id can be joined with Document_Sections.section_id
#
### Question:
#
# What are the different role codes for users, and how many users have each?
#
### SQL:
#
# SELECT count(*) , role_code FROM users GROUP BY role_code
#
### End.
|
document_management
|
### Complete SQL query only and with no explanation
### SQL tables followed by foreign key information:
#
# Roles ( role_code, role_description )
# Users ( user_id, role_code, user_name, user_login, password )
# Document_Structures ( document_structure_code, parent_document_structure_code, document_structure_description )
# Functional_Areas ( functional_area_code, parent_functional_area_code, functional_area_description )
# Images ( image_id, image_alt_text, image_name, image_url )
# Documents ( document_code, document_structure_code, document_type_code, access_count, document_name )
# Document_Functional_Areas ( document_code, functional_area_code )
# Document_Sections ( section_id, document_code, section_sequence, section_code, section_title )
# Document_Sections_Images ( section_id, image_id )
#
# Users.role_code can be joined with Roles.role_code
# Documents.document_structure_code can be joined with Document_Structures.document_structure_code
# Document_Functional_Areas.functional_area_code can be joined with Functional_Areas.functional_area_code
# Document_Functional_Areas.document_code can be joined with Documents.document_code
# Document_Sections.document_code can be joined with Documents.document_code
# Document_Sections_Images.image_id can be joined with Images.image_id
# Document_Sections_Images.section_id can be joined with Document_Sections.section_id
#
### Question:
#
# What document types have more than 2 corresponding documents?
#
### SQL:
#
# SELECT document_type_code FROM documents GROUP BY document_type_code HAVING count(*) > 2
#
### End.
|
document_management
|
### Complete SQL query only and with no explanation
### SQL tables followed by foreign key information:
#
# Roles ( role_code, role_description )
# Users ( user_id, role_code, user_name, user_login, password )
# Document_Structures ( document_structure_code, parent_document_structure_code, document_structure_description )
# Functional_Areas ( functional_area_code, parent_functional_area_code, functional_area_description )
# Images ( image_id, image_alt_text, image_name, image_url )
# Documents ( document_code, document_structure_code, document_type_code, access_count, document_name )
# Document_Functional_Areas ( document_code, functional_area_code )
# Document_Sections ( section_id, document_code, section_sequence, section_code, section_title )
# Document_Sections_Images ( section_id, image_id )
#
# Users.role_code can be joined with Roles.role_code
# Documents.document_structure_code can be joined with Document_Structures.document_structure_code
# Document_Functional_Areas.functional_area_code can be joined with Functional_Areas.functional_area_code
# Document_Functional_Areas.document_code can be joined with Documents.document_code
# Document_Sections.document_code can be joined with Documents.document_code
# Document_Sections_Images.image_id can be joined with Images.image_id
# Document_Sections_Images.section_id can be joined with Document_Sections.section_id
#
### Question:
#
# Give the codes of document types that have more than 2 corresponding documents.
#
### SQL:
#
# SELECT document_type_code FROM documents GROUP BY document_type_code HAVING count(*) > 2
#
### End.
|
company_office
|
### Complete SQL query only and with no explanation
### SQL tables followed by foreign key information:
#
# buildings ( id, name, City, Height, Stories, Status )
# Companies ( id, name, Headquarters, Industry, Sales_billion, Profits_billion, Assets_billion, Market_Value_billion )
# Office_locations ( building_id, company_id, move_in_year )
#
# Office_locations.company_id can be joined with Companies.id
# Office_locations.building_id can be joined with buildings.id
#
### Question:
#
# How many companies are there?
#
### SQL:
#
# SELECT count(*) FROM Companies
#
### End.
|
company_office
|
### Complete SQL query only and with no explanation
### SQL tables followed by foreign key information:
#
# buildings ( id, name, City, Height, Stories, Status )
# Companies ( id, name, Headquarters, Industry, Sales_billion, Profits_billion, Assets_billion, Market_Value_billion )
# Office_locations ( building_id, company_id, move_in_year )
#
# Office_locations.company_id can be joined with Companies.id
# Office_locations.building_id can be joined with buildings.id
#
### Question:
#
# Count the number of companies.
#
### SQL:
#
# SELECT count(*) FROM Companies
#
### End.
|
company_office
|
### Complete SQL query only and with no explanation
### SQL tables followed by foreign key information:
#
# buildings ( id, name, City, Height, Stories, Status )
# Companies ( id, name, Headquarters, Industry, Sales_billion, Profits_billion, Assets_billion, Market_Value_billion )
# Office_locations ( building_id, company_id, move_in_year )
#
# Office_locations.company_id can be joined with Companies.id
# Office_locations.building_id can be joined with buildings.id
#
### Question:
#
# List the names of companies in descending order of market value.
#
### SQL:
#
# SELECT name FROM Companies ORDER BY Market_Value_billion DESC
#
### End.
|
company_office
|
### Complete SQL query only and with no explanation
### SQL tables followed by foreign key information:
#
# buildings ( id, name, City, Height, Stories, Status )
# Companies ( id, name, Headquarters, Industry, Sales_billion, Profits_billion, Assets_billion, Market_Value_billion )
# Office_locations ( building_id, company_id, move_in_year )
#
# Office_locations.company_id can be joined with Companies.id
# Office_locations.building_id can be joined with buildings.id
#
### Question:
#
# Sort the company names in descending order of the company's market value.
#
### SQL:
#
# SELECT name FROM Companies ORDER BY Market_Value_billion DESC
#
### End.
|
company_office
|
### Complete SQL query only and with no explanation
### SQL tables followed by foreign key information:
#
# buildings ( id, name, City, Height, Stories, Status )
# Companies ( id, name, Headquarters, Industry, Sales_billion, Profits_billion, Assets_billion, Market_Value_billion )
# Office_locations ( building_id, company_id, move_in_year )
#
# Office_locations.company_id can be joined with Companies.id
# Office_locations.building_id can be joined with buildings.id
#
### Question:
#
# What are the names of companies whose headquarters are not "USA"?
#
### SQL:
#
# SELECT name FROM Companies WHERE Headquarters != 'USA'
#
### End.
|
company_office
|
### Complete SQL query only and with no explanation
### SQL tables followed by foreign key information:
#
# buildings ( id, name, City, Height, Stories, Status )
# Companies ( id, name, Headquarters, Industry, Sales_billion, Profits_billion, Assets_billion, Market_Value_billion )
# Office_locations ( building_id, company_id, move_in_year )
#
# Office_locations.company_id can be joined with Companies.id
# Office_locations.building_id can be joined with buildings.id
#
### Question:
#
# Find the names of the companies whose headquarters are not located in "USA".
#
### SQL:
#
# SELECT name FROM Companies WHERE Headquarters != 'USA'
#
### End.
|
company_office
|
### Complete SQL query only and with no explanation
### SQL tables followed by foreign key information:
#
# buildings ( id, name, City, Height, Stories, Status )
# Companies ( id, name, Headquarters, Industry, Sales_billion, Profits_billion, Assets_billion, Market_Value_billion )
# Office_locations ( building_id, company_id, move_in_year )
#
# Office_locations.company_id can be joined with Companies.id
# Office_locations.building_id can be joined with buildings.id
#
### Question:
#
# What are the name and assets of each company, sorted in ascending order of company name?
#
### SQL:
#
# SELECT name , Assets_billion FROM Companies ORDER BY name ASC
#
### End.
|
company_office
|
### Complete SQL query only and with no explanation
### SQL tables followed by foreign key information:
#
# buildings ( id, name, City, Height, Stories, Status )
# Companies ( id, name, Headquarters, Industry, Sales_billion, Profits_billion, Assets_billion, Market_Value_billion )
# Office_locations ( building_id, company_id, move_in_year )
#
# Office_locations.company_id can be joined with Companies.id
# Office_locations.building_id can be joined with buildings.id
#
### Question:
#
# List the name and assets of each company in ascending order of company name.
#
### SQL:
#
# SELECT name , Assets_billion FROM Companies ORDER BY name ASC
#
### End.
|
company_office
|
### Complete SQL query only and with no explanation
### SQL tables followed by foreign key information:
#
# buildings ( id, name, City, Height, Stories, Status )
# Companies ( id, name, Headquarters, Industry, Sales_billion, Profits_billion, Assets_billion, Market_Value_billion )
# Office_locations ( building_id, company_id, move_in_year )
#
# Office_locations.company_id can be joined with Companies.id
# Office_locations.building_id can be joined with buildings.id
#
### Question:
#
# What are the average profits of companies?
#
### SQL:
#
# SELECT avg(Profits_billion) FROM Companies
#
### End.
|
company_office
|
### Complete SQL query only and with no explanation
### SQL tables followed by foreign key information:
#
# buildings ( id, name, City, Height, Stories, Status )
# Companies ( id, name, Headquarters, Industry, Sales_billion, Profits_billion, Assets_billion, Market_Value_billion )
# Office_locations ( building_id, company_id, move_in_year )
#
# Office_locations.company_id can be joined with Companies.id
# Office_locations.building_id can be joined with buildings.id
#
### Question:
#
# Compute the average profits companies make.
#
### SQL:
#
# SELECT avg(Profits_billion) FROM Companies
#
### End.
|
company_office
|
### Complete SQL query only and with no explanation
### SQL tables followed by foreign key information:
#
# buildings ( id, name, City, Height, Stories, Status )
# Companies ( id, name, Headquarters, Industry, Sales_billion, Profits_billion, Assets_billion, Market_Value_billion )
# Office_locations ( building_id, company_id, move_in_year )
#
# Office_locations.company_id can be joined with Companies.id
# Office_locations.building_id can be joined with buildings.id
#
### Question:
#
# What are the maximum and minimum sales of the companies whose industries are not "Banking".
#
### SQL:
#
# SELECT max(Sales_billion) , min(Sales_billion) FROM Companies WHERE Industry != "Banking"
#
### End.
|
company_office
|
### Complete SQL query only and with no explanation
### SQL tables followed by foreign key information:
#
# buildings ( id, name, City, Height, Stories, Status )
# Companies ( id, name, Headquarters, Industry, Sales_billion, Profits_billion, Assets_billion, Market_Value_billion )
# Office_locations ( building_id, company_id, move_in_year )
#
# Office_locations.company_id can be joined with Companies.id
# Office_locations.building_id can be joined with buildings.id
#
### Question:
#
# Find the maximum and minimum sales of the companies that are not in the "Banking" industry.
#
### SQL:
#
# SELECT max(Sales_billion) , min(Sales_billion) FROM Companies WHERE Industry != "Banking"
#
### End.
|
company_office
|
### Complete SQL query only and with no explanation
### SQL tables followed by foreign key information:
#
# buildings ( id, name, City, Height, Stories, Status )
# Companies ( id, name, Headquarters, Industry, Sales_billion, Profits_billion, Assets_billion, Market_Value_billion )
# Office_locations ( building_id, company_id, move_in_year )
#
# Office_locations.company_id can be joined with Companies.id
# Office_locations.building_id can be joined with buildings.id
#
### Question:
#
# How many different industries are the companies in?
#
### SQL:
#
# SELECT count(DISTINCT Industry) FROM Companies
#
### End.
|
company_office
|
### Complete SQL query only and with no explanation
### SQL tables followed by foreign key information:
#
# buildings ( id, name, City, Height, Stories, Status )
# Companies ( id, name, Headquarters, Industry, Sales_billion, Profits_billion, Assets_billion, Market_Value_billion )
# Office_locations ( building_id, company_id, move_in_year )
#
# Office_locations.company_id can be joined with Companies.id
# Office_locations.building_id can be joined with buildings.id
#
### Question:
#
# Count the number of distinct company industries.
#
### SQL:
#
# SELECT count(DISTINCT Industry) FROM Companies
#
### End.
|
company_office
|
### Complete SQL query only and with no explanation
### SQL tables followed by foreign key information:
#
# buildings ( id, name, City, Height, Stories, Status )
# Companies ( id, name, Headquarters, Industry, Sales_billion, Profits_billion, Assets_billion, Market_Value_billion )
# Office_locations ( building_id, company_id, move_in_year )
#
# Office_locations.company_id can be joined with Companies.id
# Office_locations.building_id can be joined with buildings.id
#
### Question:
#
# List the names of buildings in descending order of building height.
#
### SQL:
#
# SELECT name FROM buildings ORDER BY Height DESC
#
### End.
|
company_office
|
### Complete SQL query only and with no explanation
### SQL tables followed by foreign key information:
#
# buildings ( id, name, City, Height, Stories, Status )
# Companies ( id, name, Headquarters, Industry, Sales_billion, Profits_billion, Assets_billion, Market_Value_billion )
# Office_locations ( building_id, company_id, move_in_year )
#
# Office_locations.company_id can be joined with Companies.id
# Office_locations.building_id can be joined with buildings.id
#
### Question:
#
# What are the names of buildings sorted in descending order of building height?
#
### SQL:
#
# SELECT name FROM buildings ORDER BY Height DESC
#
### End.
|
company_office
|
### Complete SQL query only and with no explanation
### SQL tables followed by foreign key information:
#
# buildings ( id, name, City, Height, Stories, Status )
# Companies ( id, name, Headquarters, Industry, Sales_billion, Profits_billion, Assets_billion, Market_Value_billion )
# Office_locations ( building_id, company_id, move_in_year )
#
# Office_locations.company_id can be joined with Companies.id
# Office_locations.building_id can be joined with buildings.id
#
### Question:
#
# Find the stories of the building with the largest height.
#
### SQL:
#
# SELECT Stories FROM buildings ORDER BY Height DESC LIMIT 1
#
### End.
|
company_office
|
### Complete SQL query only and with no explanation
### SQL tables followed by foreign key information:
#
# buildings ( id, name, City, Height, Stories, Status )
# Companies ( id, name, Headquarters, Industry, Sales_billion, Profits_billion, Assets_billion, Market_Value_billion )
# Office_locations ( building_id, company_id, move_in_year )
#
# Office_locations.company_id can be joined with Companies.id
# Office_locations.building_id can be joined with buildings.id
#
### Question:
#
# What is the stories of highest building?
#
### SQL:
#
# SELECT Stories FROM buildings ORDER BY Height DESC LIMIT 1
#
### End.
|
company_office
|
### Complete SQL query only and with no explanation
### SQL tables followed by foreign key information:
#
# buildings ( id, name, City, Height, Stories, Status )
# Companies ( id, name, Headquarters, Industry, Sales_billion, Profits_billion, Assets_billion, Market_Value_billion )
# Office_locations ( building_id, company_id, move_in_year )
#
# Office_locations.company_id can be joined with Companies.id
# Office_locations.building_id can be joined with buildings.id
#
### Question:
#
# List the name of a building along with the name of a company whose office is in the building.
#
### SQL:
#
# 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
#
### End.
|
company_office
|
### Complete SQL query only and with no explanation
### SQL tables followed by foreign key information:
#
# buildings ( id, name, City, Height, Stories, Status )
# Companies ( id, name, Headquarters, Industry, Sales_billion, Profits_billion, Assets_billion, Market_Value_billion )
# Office_locations ( building_id, company_id, move_in_year )
#
# Office_locations.company_id can be joined with Companies.id
# Office_locations.building_id can be joined with buildings.id
#
### Question:
#
# For each company, return the company name and the name of the building its office is located in.
#
### SQL:
#
# 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
#
### End.
|
company_office
|
### Complete SQL query only and with no explanation
### SQL tables followed by foreign key information:
#
# buildings ( id, name, City, Height, Stories, Status )
# Companies ( id, name, Headquarters, Industry, Sales_billion, Profits_billion, Assets_billion, Market_Value_billion )
# Office_locations ( building_id, company_id, move_in_year )
#
# Office_locations.company_id can be joined with Companies.id
# Office_locations.building_id can be joined with buildings.id
#
### Question:
#
# Show the names of the buildings that have more than one company offices.
#
### SQL:
#
# 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
#
### End.
|
company_office
|
### Complete SQL query only and with no explanation
### SQL tables followed by foreign key information:
#
# buildings ( id, name, City, Height, Stories, Status )
# Companies ( id, name, Headquarters, Industry, Sales_billion, Profits_billion, Assets_billion, Market_Value_billion )
# Office_locations ( building_id, company_id, move_in_year )
#
# Office_locations.company_id can be joined with Companies.id
# Office_locations.building_id can be joined with buildings.id
#
### Question:
#
# Which buildings have more than one company offices? Give me the building names.
#
### SQL:
#
# 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
#
### End.
|
company_office
|
### Complete SQL query only and with no explanation
### SQL tables followed by foreign key information:
#
# buildings ( id, name, City, Height, Stories, Status )
# Companies ( id, name, Headquarters, Industry, Sales_billion, Profits_billion, Assets_billion, Market_Value_billion )
# Office_locations ( building_id, company_id, move_in_year )
#
# Office_locations.company_id can be joined with Companies.id
# Office_locations.building_id can be joined with buildings.id
#
### Question:
#
# Show the name of the building that has the most company offices.
#
### SQL:
#
# 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
#
### End.
|
company_office
|
### Complete SQL query only and with no explanation
### SQL tables followed by foreign key information:
#
# buildings ( id, name, City, Height, Stories, Status )
# Companies ( id, name, Headquarters, Industry, Sales_billion, Profits_billion, Assets_billion, Market_Value_billion )
# Office_locations ( building_id, company_id, move_in_year )
#
# Office_locations.company_id can be joined with Companies.id
# Office_locations.building_id can be joined with buildings.id
#
### Question:
#
# Which building has the largest number of company offices? Give me the building name.
#
### SQL:
#
# 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
#
### End.
|
company_office
|
### Complete SQL query only and with no explanation
### SQL tables followed by foreign key information:
#
# buildings ( id, name, City, Height, Stories, Status )
# Companies ( id, name, Headquarters, Industry, Sales_billion, Profits_billion, Assets_billion, Market_Value_billion )
# Office_locations ( building_id, company_id, move_in_year )
#
# Office_locations.company_id can be joined with Companies.id
# Office_locations.building_id can be joined with buildings.id
#
### Question:
#
# Please show the names of the buildings whose status is "on-hold", in ascending order of stories.
#
### SQL:
#
# SELECT name FROM buildings WHERE Status = "on-hold" ORDER BY Stories ASC
#
### End.
|
company_office
|
### Complete SQL query only and with no explanation
### SQL tables followed by foreign key information:
#
# buildings ( id, name, City, Height, Stories, Status )
# Companies ( id, name, Headquarters, Industry, Sales_billion, Profits_billion, Assets_billion, Market_Value_billion )
# Office_locations ( building_id, company_id, move_in_year )
#
# Office_locations.company_id can be joined with Companies.id
# Office_locations.building_id can be joined with buildings.id
#
### Question:
#
# Find the names of the buildings in "on-hold" status, and sort them in ascending order of building stories.
#
### SQL:
#
# SELECT name FROM buildings WHERE Status = "on-hold" ORDER BY Stories ASC
#
### End.
|
company_office
|
### Complete SQL query only and with no explanation
### SQL tables followed by foreign key information:
#
# buildings ( id, name, City, Height, Stories, Status )
# Companies ( id, name, Headquarters, Industry, Sales_billion, Profits_billion, Assets_billion, Market_Value_billion )
# Office_locations ( building_id, company_id, move_in_year )
#
# Office_locations.company_id can be joined with Companies.id
# Office_locations.building_id can be joined with buildings.id
#
### Question:
#
# Please show each industry and the corresponding number of companies in that industry.
#
### SQL:
#
# SELECT Industry , COUNT(*) FROM Companies GROUP BY Industry
#
### End.
|
company_office
|
### Complete SQL query only and with no explanation
### SQL tables followed by foreign key information:
#
# buildings ( id, name, City, Height, Stories, Status )
# Companies ( id, name, Headquarters, Industry, Sales_billion, Profits_billion, Assets_billion, Market_Value_billion )
# Office_locations ( building_id, company_id, move_in_year )
#
# Office_locations.company_id can be joined with Companies.id
# Office_locations.building_id can be joined with buildings.id
#
### Question:
#
# Whah are the name of each industry and the number of companies in that industry?
#
### SQL:
#
# SELECT Industry , COUNT(*) FROM Companies GROUP BY Industry
#
### End.
|
company_office
|
### Complete SQL query only and with no explanation
### SQL tables followed by foreign key information:
#
# buildings ( id, name, City, Height, Stories, Status )
# Companies ( id, name, Headquarters, Industry, Sales_billion, Profits_billion, Assets_billion, Market_Value_billion )
# Office_locations ( building_id, company_id, move_in_year )
#
# Office_locations.company_id can be joined with Companies.id
# Office_locations.building_id can be joined with buildings.id
#
### Question:
#
# Please show the industries of companies in descending order of the number of companies.
#
### SQL:
#
# SELECT Industry FROM Companies GROUP BY Industry ORDER BY COUNT(*) DESC
#
### End.
|
company_office
|
### Complete SQL query only and with no explanation
### SQL tables followed by foreign key information:
#
# buildings ( id, name, City, Height, Stories, Status )
# Companies ( id, name, Headquarters, Industry, Sales_billion, Profits_billion, Assets_billion, Market_Value_billion )
# Office_locations ( building_id, company_id, move_in_year )
#
# Office_locations.company_id can be joined with Companies.id
# Office_locations.building_id can be joined with buildings.id
#
### Question:
#
# Sort all the industries in descending order of the count of companies in each industry
#
### SQL:
#
# SELECT Industry FROM Companies GROUP BY Industry ORDER BY COUNT(*) DESC
#
### End.
|
company_office
|
### Complete SQL query only and with no explanation
### SQL tables followed by foreign key information:
#
# buildings ( id, name, City, Height, Stories, Status )
# Companies ( id, name, Headquarters, Industry, Sales_billion, Profits_billion, Assets_billion, Market_Value_billion )
# Office_locations ( building_id, company_id, move_in_year )
#
# Office_locations.company_id can be joined with Companies.id
# Office_locations.building_id can be joined with buildings.id
#
### Question:
#
# List the industry shared by the most companies.
#
### SQL:
#
# SELECT Industry FROM Companies GROUP BY Industry ORDER BY COUNT(*) DESC LIMIT 1
#
### End.
|
company_office
|
### Complete SQL query only and with no explanation
### SQL tables followed by foreign key information:
#
# buildings ( id, name, City, Height, Stories, Status )
# Companies ( id, name, Headquarters, Industry, Sales_billion, Profits_billion, Assets_billion, Market_Value_billion )
# Office_locations ( building_id, company_id, move_in_year )
#
# Office_locations.company_id can be joined with Companies.id
# Office_locations.building_id can be joined with buildings.id
#
### Question:
#
# Which industry has the most companies?
#
### SQL:
#
# SELECT Industry FROM Companies GROUP BY Industry ORDER BY COUNT(*) DESC LIMIT 1
#
### End.
|
company_office
|
### Complete SQL query only and with no explanation
### SQL tables followed by foreign key information:
#
# buildings ( id, name, City, Height, Stories, Status )
# Companies ( id, name, Headquarters, Industry, Sales_billion, Profits_billion, Assets_billion, Market_Value_billion )
# Office_locations ( building_id, company_id, move_in_year )
#
# Office_locations.company_id can be joined with Companies.id
# Office_locations.building_id can be joined with buildings.id
#
### Question:
#
# List the names of buildings that have no company office.
#
### SQL:
#
# SELECT name FROM buildings WHERE id NOT IN (SELECT building_id FROM Office_locations)
#
### End.
|
company_office
|
### Complete SQL query only and with no explanation
### SQL tables followed by foreign key information:
#
# buildings ( id, name, City, Height, Stories, Status )
# Companies ( id, name, Headquarters, Industry, Sales_billion, Profits_billion, Assets_billion, Market_Value_billion )
# Office_locations ( building_id, company_id, move_in_year )
#
# Office_locations.company_id can be joined with Companies.id
# Office_locations.building_id can be joined with buildings.id
#
### Question:
#
# Which buildings do not have any company office? Give me the building names.
#
### SQL:
#
# SELECT name FROM buildings WHERE id NOT IN (SELECT building_id FROM Office_locations)
#
### End.
|
company_office
|
### Complete SQL query only and with no explanation
### SQL tables followed by foreign key information:
#
# buildings ( id, name, City, Height, Stories, Status )
# Companies ( id, name, Headquarters, Industry, Sales_billion, Profits_billion, Assets_billion, Market_Value_billion )
# Office_locations ( building_id, company_id, move_in_year )
#
# Office_locations.company_id can be joined with Companies.id
# Office_locations.building_id can be joined with buildings.id
#
### Question:
#
# Show the industries shared by companies whose headquarters are "USA" and companies whose headquarters are "China".
#
### SQL:
#
# SELECT Industry FROM Companies WHERE Headquarters = "USA" INTERSECT SELECT Industry FROM Companies WHERE Headquarters = "China"
#
### End.
|
company_office
|
### Complete SQL query only and with no explanation
### SQL tables followed by foreign key information:
#
# buildings ( id, name, City, Height, Stories, Status )
# Companies ( id, name, Headquarters, Industry, Sales_billion, Profits_billion, Assets_billion, Market_Value_billion )
# Office_locations ( building_id, company_id, move_in_year )
#
# Office_locations.company_id can be joined with Companies.id
# Office_locations.building_id can be joined with buildings.id
#
### Question:
#
# Which industries have both companies with headquarter in "USA" and companies with headquarter in "China"?
#
### SQL:
#
# SELECT Industry FROM Companies WHERE Headquarters = "USA" INTERSECT SELECT Industry FROM Companies WHERE Headquarters = "China"
#
### End.
|
company_office
|
### Complete SQL query only and with no explanation
### SQL tables followed by foreign key information:
#
# buildings ( id, name, City, Height, Stories, Status )
# Companies ( id, name, Headquarters, Industry, Sales_billion, Profits_billion, Assets_billion, Market_Value_billion )
# Office_locations ( building_id, company_id, move_in_year )
#
# Office_locations.company_id can be joined with Companies.id
# Office_locations.building_id can be joined with buildings.id
#
### Question:
#
# Find the number of companies whose industry is "Banking" or "Conglomerate",
#
### SQL:
#
# SELECT count(*) FROM Companies WHERE Industry = "Banking" OR Industry = "Conglomerate"
#
### End.
|
company_office
|
### Complete SQL query only and with no explanation
### SQL tables followed by foreign key information:
#
# buildings ( id, name, City, Height, Stories, Status )
# Companies ( id, name, Headquarters, Industry, Sales_billion, Profits_billion, Assets_billion, Market_Value_billion )
# Office_locations ( building_id, company_id, move_in_year )
#
# Office_locations.company_id can be joined with Companies.id
# Office_locations.building_id can be joined with buildings.id
#
### Question:
#
# How many companies are in either "Banking" industry or "Conglomerate" industry?
#
### SQL:
#
# SELECT count(*) FROM Companies WHERE Industry = "Banking" OR Industry = "Conglomerate"
#
### End.
|
company_office
|
### Complete SQL query only and with no explanation
### SQL tables followed by foreign key information:
#
# buildings ( id, name, City, Height, Stories, Status )
# Companies ( id, name, Headquarters, Industry, Sales_billion, Profits_billion, Assets_billion, Market_Value_billion )
# Office_locations ( building_id, company_id, move_in_year )
#
# Office_locations.company_id can be joined with Companies.id
# Office_locations.building_id can be joined with buildings.id
#
### Question:
#
# Show the headquarters shared by more than two companies.
#
### SQL:
#
# SELECT Headquarters FROM Companies GROUP BY Headquarters HAVING COUNT(*) > 2
#
### End.
|
company_office
|
### Complete SQL query only and with no explanation
### SQL tables followed by foreign key information:
#
# buildings ( id, name, City, Height, Stories, Status )
# Companies ( id, name, Headquarters, Industry, Sales_billion, Profits_billion, Assets_billion, Market_Value_billion )
# Office_locations ( building_id, company_id, move_in_year )
#
# Office_locations.company_id can be joined with Companies.id
# Office_locations.building_id can be joined with buildings.id
#
### Question:
#
# Which headquarter locations are used by more than 2 companies?
#
### SQL:
#
# SELECT Headquarters FROM Companies GROUP BY Headquarters HAVING COUNT(*) > 2
#
### End.
|
solvency_ii
|
### Complete SQL query only and with no explanation
### SQL tables followed by foreign key information:
#
# Addresses ( Address_ID, address_details )
# Locations ( Location_ID, Other_Details )
# Products ( Product_ID, Product_Type_Code, Product_Name, Product_Price )
# Parties ( Party_ID, Party_Details )
# Assets ( Asset_ID, Other_Details )
# Channels ( Channel_ID, Other_Details )
# Finances ( Finance_ID, Other_Details )
# Events ( Event_ID, Address_ID, Channel_ID, Event_Type_Code, Finance_ID, Location_ID )
# Products_in_Events ( Product_in_Event_ID, Event_ID, Product_ID )
# Parties_in_Events ( Party_ID, Event_ID, Role_Code )
# Agreements ( Document_ID, Event_ID )
# Assets_in_Events ( Asset_ID, Event_ID )
#
# Events.Finance_ID can be joined with Finances.Finance_ID
# Events.Address_ID can be joined with Addresses.Address_ID
# Events.Location_ID can be joined with Locations.Location_ID
# Products_in_Events.Product_ID can be joined with Products.Product_ID
# Products_in_Events.Event_ID can be joined with Events.Event_ID
# Parties_in_Events.Event_ID can be joined with Events.Event_ID
# Parties_in_Events.Party_ID can be joined with Parties.Party_ID
# Agreements.Event_ID can be joined with Events.Event_ID
# Assets_in_Events.Event_ID can be joined with Events.Event_ID
# Assets_in_Events.Event_ID can be joined with Events.Event_ID
#
### Question:
#
# How many products are there?
#
### SQL:
#
# SELECT count(*) FROM Products
#
### End.
|
solvency_ii
|
### Complete SQL query only and with no explanation
### SQL tables followed by foreign key information:
#
# Addresses ( Address_ID, address_details )
# Locations ( Location_ID, Other_Details )
# Products ( Product_ID, Product_Type_Code, Product_Name, Product_Price )
# Parties ( Party_ID, Party_Details )
# Assets ( Asset_ID, Other_Details )
# Channels ( Channel_ID, Other_Details )
# Finances ( Finance_ID, Other_Details )
# Events ( Event_ID, Address_ID, Channel_ID, Event_Type_Code, Finance_ID, Location_ID )
# Products_in_Events ( Product_in_Event_ID, Event_ID, Product_ID )
# Parties_in_Events ( Party_ID, Event_ID, Role_Code )
# Agreements ( Document_ID, Event_ID )
# Assets_in_Events ( Asset_ID, Event_ID )
#
# Events.Finance_ID can be joined with Finances.Finance_ID
# Events.Address_ID can be joined with Addresses.Address_ID
# Events.Location_ID can be joined with Locations.Location_ID
# Products_in_Events.Product_ID can be joined with Products.Product_ID
# Products_in_Events.Event_ID can be joined with Events.Event_ID
# Parties_in_Events.Event_ID can be joined with Events.Event_ID
# Parties_in_Events.Party_ID can be joined with Parties.Party_ID
# Agreements.Event_ID can be joined with Events.Event_ID
# Assets_in_Events.Event_ID can be joined with Events.Event_ID
# Assets_in_Events.Event_ID can be joined with Events.Event_ID
#
### Question:
#
# List the name of products in ascending order of price.
#
### SQL:
#
# SELECT Product_Name FROM Products ORDER BY Product_Price ASC
#
### End.
|
solvency_ii
|
### Complete SQL query only and with no explanation
### SQL tables followed by foreign key information:
#
# Addresses ( Address_ID, address_details )
# Locations ( Location_ID, Other_Details )
# Products ( Product_ID, Product_Type_Code, Product_Name, Product_Price )
# Parties ( Party_ID, Party_Details )
# Assets ( Asset_ID, Other_Details )
# Channels ( Channel_ID, Other_Details )
# Finances ( Finance_ID, Other_Details )
# Events ( Event_ID, Address_ID, Channel_ID, Event_Type_Code, Finance_ID, Location_ID )
# Products_in_Events ( Product_in_Event_ID, Event_ID, Product_ID )
# Parties_in_Events ( Party_ID, Event_ID, Role_Code )
# Agreements ( Document_ID, Event_ID )
# Assets_in_Events ( Asset_ID, Event_ID )
#
# Events.Finance_ID can be joined with Finances.Finance_ID
# Events.Address_ID can be joined with Addresses.Address_ID
# Events.Location_ID can be joined with Locations.Location_ID
# Products_in_Events.Product_ID can be joined with Products.Product_ID
# Products_in_Events.Event_ID can be joined with Events.Event_ID
# Parties_in_Events.Event_ID can be joined with Events.Event_ID
# Parties_in_Events.Party_ID can be joined with Parties.Party_ID
# Agreements.Event_ID can be joined with Events.Event_ID
# Assets_in_Events.Event_ID can be joined with Events.Event_ID
# Assets_in_Events.Event_ID can be joined with Events.Event_ID
#
### Question:
#
# What are the names and type codes of products?
#
### SQL:
#
# SELECT Product_Name , Product_Type_Code FROM Products
#
### End.
|
solvency_ii
|
### Complete SQL query only and with no explanation
### SQL tables followed by foreign key information:
#
# Addresses ( Address_ID, address_details )
# Locations ( Location_ID, Other_Details )
# Products ( Product_ID, Product_Type_Code, Product_Name, Product_Price )
# Parties ( Party_ID, Party_Details )
# Assets ( Asset_ID, Other_Details )
# Channels ( Channel_ID, Other_Details )
# Finances ( Finance_ID, Other_Details )
# Events ( Event_ID, Address_ID, Channel_ID, Event_Type_Code, Finance_ID, Location_ID )
# Products_in_Events ( Product_in_Event_ID, Event_ID, Product_ID )
# Parties_in_Events ( Party_ID, Event_ID, Role_Code )
# Agreements ( Document_ID, Event_ID )
# Assets_in_Events ( Asset_ID, Event_ID )
#
# Events.Finance_ID can be joined with Finances.Finance_ID
# Events.Address_ID can be joined with Addresses.Address_ID
# Events.Location_ID can be joined with Locations.Location_ID
# Products_in_Events.Product_ID can be joined with Products.Product_ID
# Products_in_Events.Event_ID can be joined with Events.Event_ID
# Parties_in_Events.Event_ID can be joined with Events.Event_ID
# Parties_in_Events.Party_ID can be joined with Parties.Party_ID
# Agreements.Event_ID can be joined with Events.Event_ID
# Assets_in_Events.Event_ID can be joined with Events.Event_ID
# Assets_in_Events.Event_ID can be joined with Events.Event_ID
#
### Question:
#
# Show the prices of the products named "Dining" or "Trading Policy".
#
### SQL:
#
# SELECT Product_Price FROM Products WHERE Product_Name = "Dining" OR Product_Name = "Trading Policy"
#
### End.
|
solvency_ii
|
### Complete SQL query only and with no explanation
### SQL tables followed by foreign key information:
#
# Addresses ( Address_ID, address_details )
# Locations ( Location_ID, Other_Details )
# Products ( Product_ID, Product_Type_Code, Product_Name, Product_Price )
# Parties ( Party_ID, Party_Details )
# Assets ( Asset_ID, Other_Details )
# Channels ( Channel_ID, Other_Details )
# Finances ( Finance_ID, Other_Details )
# Events ( Event_ID, Address_ID, Channel_ID, Event_Type_Code, Finance_ID, Location_ID )
# Products_in_Events ( Product_in_Event_ID, Event_ID, Product_ID )
# Parties_in_Events ( Party_ID, Event_ID, Role_Code )
# Agreements ( Document_ID, Event_ID )
# Assets_in_Events ( Asset_ID, Event_ID )
#
# Events.Finance_ID can be joined with Finances.Finance_ID
# Events.Address_ID can be joined with Addresses.Address_ID
# Events.Location_ID can be joined with Locations.Location_ID
# Products_in_Events.Product_ID can be joined with Products.Product_ID
# Products_in_Events.Event_ID can be joined with Events.Event_ID
# Parties_in_Events.Event_ID can be joined with Events.Event_ID
# Parties_in_Events.Party_ID can be joined with Parties.Party_ID
# Agreements.Event_ID can be joined with Events.Event_ID
# Assets_in_Events.Event_ID can be joined with Events.Event_ID
# Assets_in_Events.Event_ID can be joined with Events.Event_ID
#
### Question:
#
# What is the average price for products?
#
### SQL:
#
# SELECT avg(Product_Price) FROM Products
#
### End.
|
solvency_ii
|
### Complete SQL query only and with no explanation
### SQL tables followed by foreign key information:
#
# Addresses ( Address_ID, address_details )
# Locations ( Location_ID, Other_Details )
# Products ( Product_ID, Product_Type_Code, Product_Name, Product_Price )
# Parties ( Party_ID, Party_Details )
# Assets ( Asset_ID, Other_Details )
# Channels ( Channel_ID, Other_Details )
# Finances ( Finance_ID, Other_Details )
# Events ( Event_ID, Address_ID, Channel_ID, Event_Type_Code, Finance_ID, Location_ID )
# Products_in_Events ( Product_in_Event_ID, Event_ID, Product_ID )
# Parties_in_Events ( Party_ID, Event_ID, Role_Code )
# Agreements ( Document_ID, Event_ID )
# Assets_in_Events ( Asset_ID, Event_ID )
#
# Events.Finance_ID can be joined with Finances.Finance_ID
# Events.Address_ID can be joined with Addresses.Address_ID
# Events.Location_ID can be joined with Locations.Location_ID
# Products_in_Events.Product_ID can be joined with Products.Product_ID
# Products_in_Events.Event_ID can be joined with Events.Event_ID
# Parties_in_Events.Event_ID can be joined with Events.Event_ID
# Parties_in_Events.Party_ID can be joined with Parties.Party_ID
# Agreements.Event_ID can be joined with Events.Event_ID
# Assets_in_Events.Event_ID can be joined with Events.Event_ID
# Assets_in_Events.Event_ID can be joined with Events.Event_ID
#
### Question:
#
# What is the name of the product with the highest price?
#
### SQL:
#
# SELECT Product_Name FROM Products ORDER BY Product_Price DESC LIMIT 1
#
### End.
|
solvency_ii
|
### Complete SQL query only and with no explanation
### SQL tables followed by foreign key information:
#
# Addresses ( Address_ID, address_details )
# Locations ( Location_ID, Other_Details )
# Products ( Product_ID, Product_Type_Code, Product_Name, Product_Price )
# Parties ( Party_ID, Party_Details )
# Assets ( Asset_ID, Other_Details )
# Channels ( Channel_ID, Other_Details )
# Finances ( Finance_ID, Other_Details )
# Events ( Event_ID, Address_ID, Channel_ID, Event_Type_Code, Finance_ID, Location_ID )
# Products_in_Events ( Product_in_Event_ID, Event_ID, Product_ID )
# Parties_in_Events ( Party_ID, Event_ID, Role_Code )
# Agreements ( Document_ID, Event_ID )
# Assets_in_Events ( Asset_ID, Event_ID )
#
# Events.Finance_ID can be joined with Finances.Finance_ID
# Events.Address_ID can be joined with Addresses.Address_ID
# Events.Location_ID can be joined with Locations.Location_ID
# Products_in_Events.Product_ID can be joined with Products.Product_ID
# Products_in_Events.Event_ID can be joined with Events.Event_ID
# Parties_in_Events.Event_ID can be joined with Events.Event_ID
# Parties_in_Events.Party_ID can be joined with Parties.Party_ID
# Agreements.Event_ID can be joined with Events.Event_ID
# Assets_in_Events.Event_ID can be joined with Events.Event_ID
# Assets_in_Events.Event_ID can be joined with Events.Event_ID
#
### Question:
#
# Show different type codes of products and the number of products with each type code.
#
### SQL:
#
# SELECT Product_Type_Code , COUNT(*) FROM Products GROUP BY Product_Type_Code
#
### End.
|
solvency_ii
|
### Complete SQL query only and with no explanation
### SQL tables followed by foreign key information:
#
# Addresses ( Address_ID, address_details )
# Locations ( Location_ID, Other_Details )
# Products ( Product_ID, Product_Type_Code, Product_Name, Product_Price )
# Parties ( Party_ID, Party_Details )
# Assets ( Asset_ID, Other_Details )
# Channels ( Channel_ID, Other_Details )
# Finances ( Finance_ID, Other_Details )
# Events ( Event_ID, Address_ID, Channel_ID, Event_Type_Code, Finance_ID, Location_ID )
# Products_in_Events ( Product_in_Event_ID, Event_ID, Product_ID )
# Parties_in_Events ( Party_ID, Event_ID, Role_Code )
# Agreements ( Document_ID, Event_ID )
# Assets_in_Events ( Asset_ID, Event_ID )
#
# Events.Finance_ID can be joined with Finances.Finance_ID
# Events.Address_ID can be joined with Addresses.Address_ID
# Events.Location_ID can be joined with Locations.Location_ID
# Products_in_Events.Product_ID can be joined with Products.Product_ID
# Products_in_Events.Event_ID can be joined with Events.Event_ID
# Parties_in_Events.Event_ID can be joined with Events.Event_ID
# Parties_in_Events.Party_ID can be joined with Parties.Party_ID
# Agreements.Event_ID can be joined with Events.Event_ID
# Assets_in_Events.Event_ID can be joined with Events.Event_ID
# Assets_in_Events.Event_ID can be joined with Events.Event_ID
#
### Question:
#
# Show the most common type code across products.
#
### SQL:
#
# SELECT Product_Type_Code FROM Products GROUP BY Product_Type_Code ORDER BY COUNT(*) DESC LIMIT 1
#
### End.
|
solvency_ii
|
### Complete SQL query only and with no explanation
### SQL tables followed by foreign key information:
#
# Addresses ( Address_ID, address_details )
# Locations ( Location_ID, Other_Details )
# Products ( Product_ID, Product_Type_Code, Product_Name, Product_Price )
# Parties ( Party_ID, Party_Details )
# Assets ( Asset_ID, Other_Details )
# Channels ( Channel_ID, Other_Details )
# Finances ( Finance_ID, Other_Details )
# Events ( Event_ID, Address_ID, Channel_ID, Event_Type_Code, Finance_ID, Location_ID )
# Products_in_Events ( Product_in_Event_ID, Event_ID, Product_ID )
# Parties_in_Events ( Party_ID, Event_ID, Role_Code )
# Agreements ( Document_ID, Event_ID )
# Assets_in_Events ( Asset_ID, Event_ID )
#
# Events.Finance_ID can be joined with Finances.Finance_ID
# Events.Address_ID can be joined with Addresses.Address_ID
# Events.Location_ID can be joined with Locations.Location_ID
# Products_in_Events.Product_ID can be joined with Products.Product_ID
# Products_in_Events.Event_ID can be joined with Events.Event_ID
# Parties_in_Events.Event_ID can be joined with Events.Event_ID
# Parties_in_Events.Party_ID can be joined with Parties.Party_ID
# Agreements.Event_ID can be joined with Events.Event_ID
# Assets_in_Events.Event_ID can be joined with Events.Event_ID
# Assets_in_Events.Event_ID can be joined with Events.Event_ID
#
### Question:
#
# Show the product type codes that have at least two products.
#
### SQL:
#
# SELECT Product_Type_Code FROM Products GROUP BY Product_Type_Code HAVING COUNT(*) >= 2
#
### End.
|
solvency_ii
|
### Complete SQL query only and with no explanation
### SQL tables followed by foreign key information:
#
# Addresses ( Address_ID, address_details )
# Locations ( Location_ID, Other_Details )
# Products ( Product_ID, Product_Type_Code, Product_Name, Product_Price )
# Parties ( Party_ID, Party_Details )
# Assets ( Asset_ID, Other_Details )
# Channels ( Channel_ID, Other_Details )
# Finances ( Finance_ID, Other_Details )
# Events ( Event_ID, Address_ID, Channel_ID, Event_Type_Code, Finance_ID, Location_ID )
# Products_in_Events ( Product_in_Event_ID, Event_ID, Product_ID )
# Parties_in_Events ( Party_ID, Event_ID, Role_Code )
# Agreements ( Document_ID, Event_ID )
# Assets_in_Events ( Asset_ID, Event_ID )
#
# Events.Finance_ID can be joined with Finances.Finance_ID
# Events.Address_ID can be joined with Addresses.Address_ID
# Events.Location_ID can be joined with Locations.Location_ID
# Products_in_Events.Product_ID can be joined with Products.Product_ID
# Products_in_Events.Event_ID can be joined with Events.Event_ID
# Parties_in_Events.Event_ID can be joined with Events.Event_ID
# Parties_in_Events.Party_ID can be joined with Parties.Party_ID
# Agreements.Event_ID can be joined with Events.Event_ID
# Assets_in_Events.Event_ID can be joined with Events.Event_ID
# Assets_in_Events.Event_ID can be joined with Events.Event_ID
#
### Question:
#
# Show the product type codes that have both products with price higher than 4500 and products with price lower than 3000.
#
### SQL:
#
# SELECT Product_Type_Code FROM Products WHERE Product_Price > 4500 INTERSECT SELECT Product_Type_Code FROM Products WHERE Product_Price < 3000
#
### End.
|
solvency_ii
|
### Complete SQL query only and with no explanation
### SQL tables followed by foreign key information:
#
# Addresses ( Address_ID, address_details )
# Locations ( Location_ID, Other_Details )
# Products ( Product_ID, Product_Type_Code, Product_Name, Product_Price )
# Parties ( Party_ID, Party_Details )
# Assets ( Asset_ID, Other_Details )
# Channels ( Channel_ID, Other_Details )
# Finances ( Finance_ID, Other_Details )
# Events ( Event_ID, Address_ID, Channel_ID, Event_Type_Code, Finance_ID, Location_ID )
# Products_in_Events ( Product_in_Event_ID, Event_ID, Product_ID )
# Parties_in_Events ( Party_ID, Event_ID, Role_Code )
# Agreements ( Document_ID, Event_ID )
# Assets_in_Events ( Asset_ID, Event_ID )
#
# Events.Finance_ID can be joined with Finances.Finance_ID
# Events.Address_ID can be joined with Addresses.Address_ID
# Events.Location_ID can be joined with Locations.Location_ID
# Products_in_Events.Product_ID can be joined with Products.Product_ID
# Products_in_Events.Event_ID can be joined with Events.Event_ID
# Parties_in_Events.Event_ID can be joined with Events.Event_ID
# Parties_in_Events.Party_ID can be joined with Parties.Party_ID
# Agreements.Event_ID can be joined with Events.Event_ID
# Assets_in_Events.Event_ID can be joined with Events.Event_ID
# Assets_in_Events.Event_ID can be joined with Events.Event_ID
#
### Question:
#
# Show the names of products and the number of events they are in.
#
### SQL:
#
# 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
#
### End.
|
solvency_ii
|
### Complete SQL query only and with no explanation
### SQL tables followed by foreign key information:
#
# Addresses ( Address_ID, address_details )
# Locations ( Location_ID, Other_Details )
# Products ( Product_ID, Product_Type_Code, Product_Name, Product_Price )
# Parties ( Party_ID, Party_Details )
# Assets ( Asset_ID, Other_Details )
# Channels ( Channel_ID, Other_Details )
# Finances ( Finance_ID, Other_Details )
# Events ( Event_ID, Address_ID, Channel_ID, Event_Type_Code, Finance_ID, Location_ID )
# Products_in_Events ( Product_in_Event_ID, Event_ID, Product_ID )
# Parties_in_Events ( Party_ID, Event_ID, Role_Code )
# Agreements ( Document_ID, Event_ID )
# Assets_in_Events ( Asset_ID, Event_ID )
#
# Events.Finance_ID can be joined with Finances.Finance_ID
# Events.Address_ID can be joined with Addresses.Address_ID
# Events.Location_ID can be joined with Locations.Location_ID
# Products_in_Events.Product_ID can be joined with Products.Product_ID
# Products_in_Events.Event_ID can be joined with Events.Event_ID
# Parties_in_Events.Event_ID can be joined with Events.Event_ID
# Parties_in_Events.Party_ID can be joined with Parties.Party_ID
# Agreements.Event_ID can be joined with Events.Event_ID
# Assets_in_Events.Event_ID can be joined with Events.Event_ID
# Assets_in_Events.Event_ID can be joined with Events.Event_ID
#
### Question:
#
# Show the names of products and the number of events they are in, sorted by the number of events in descending order.
#
### SQL:
#
# 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
#
### End.
|
solvency_ii
|
### Complete SQL query only and with no explanation
### SQL tables followed by foreign key information:
#
# Addresses ( Address_ID, address_details )
# Locations ( Location_ID, Other_Details )
# Products ( Product_ID, Product_Type_Code, Product_Name, Product_Price )
# Parties ( Party_ID, Party_Details )
# Assets ( Asset_ID, Other_Details )
# Channels ( Channel_ID, Other_Details )
# Finances ( Finance_ID, Other_Details )
# Events ( Event_ID, Address_ID, Channel_ID, Event_Type_Code, Finance_ID, Location_ID )
# Products_in_Events ( Product_in_Event_ID, Event_ID, Product_ID )
# Parties_in_Events ( Party_ID, Event_ID, Role_Code )
# Agreements ( Document_ID, Event_ID )
# Assets_in_Events ( Asset_ID, Event_ID )
#
# Events.Finance_ID can be joined with Finances.Finance_ID
# Events.Address_ID can be joined with Addresses.Address_ID
# Events.Location_ID can be joined with Locations.Location_ID
# Products_in_Events.Product_ID can be joined with Products.Product_ID
# Products_in_Events.Event_ID can be joined with Events.Event_ID
# Parties_in_Events.Event_ID can be joined with Events.Event_ID
# Parties_in_Events.Party_ID can be joined with Parties.Party_ID
# Agreements.Event_ID can be joined with Events.Event_ID
# Assets_in_Events.Event_ID can be joined with Events.Event_ID
# Assets_in_Events.Event_ID can be joined with Events.Event_ID
#
### Question:
#
# Show the names of products that are in at least two events.
#
### SQL:
#
# 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
#
### End.
|
solvency_ii
|
### Complete SQL query only and with no explanation
### SQL tables followed by foreign key information:
#
# Addresses ( Address_ID, address_details )
# Locations ( Location_ID, Other_Details )
# Products ( Product_ID, Product_Type_Code, Product_Name, Product_Price )
# Parties ( Party_ID, Party_Details )
# Assets ( Asset_ID, Other_Details )
# Channels ( Channel_ID, Other_Details )
# Finances ( Finance_ID, Other_Details )
# Events ( Event_ID, Address_ID, Channel_ID, Event_Type_Code, Finance_ID, Location_ID )
# Products_in_Events ( Product_in_Event_ID, Event_ID, Product_ID )
# Parties_in_Events ( Party_ID, Event_ID, Role_Code )
# Agreements ( Document_ID, Event_ID )
# Assets_in_Events ( Asset_ID, Event_ID )
#
# Events.Finance_ID can be joined with Finances.Finance_ID
# Events.Address_ID can be joined with Addresses.Address_ID
# Events.Location_ID can be joined with Locations.Location_ID
# Products_in_Events.Product_ID can be joined with Products.Product_ID
# Products_in_Events.Event_ID can be joined with Events.Event_ID
# Parties_in_Events.Event_ID can be joined with Events.Event_ID
# Parties_in_Events.Party_ID can be joined with Parties.Party_ID
# Agreements.Event_ID can be joined with Events.Event_ID
# Assets_in_Events.Event_ID can be joined with Events.Event_ID
# Assets_in_Events.Event_ID can be joined with Events.Event_ID
#
### Question:
#
# Show the names of products that are in at least two events in ascending alphabetical order of product name.
#
### SQL:
#
# 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
#
### End.
|
solvency_ii
|
### Complete SQL query only and with no explanation
### SQL tables followed by foreign key information:
#
# Addresses ( Address_ID, address_details )
# Locations ( Location_ID, Other_Details )
# Products ( Product_ID, Product_Type_Code, Product_Name, Product_Price )
# Parties ( Party_ID, Party_Details )
# Assets ( Asset_ID, Other_Details )
# Channels ( Channel_ID, Other_Details )
# Finances ( Finance_ID, Other_Details )
# Events ( Event_ID, Address_ID, Channel_ID, Event_Type_Code, Finance_ID, Location_ID )
# Products_in_Events ( Product_in_Event_ID, Event_ID, Product_ID )
# Parties_in_Events ( Party_ID, Event_ID, Role_Code )
# Agreements ( Document_ID, Event_ID )
# Assets_in_Events ( Asset_ID, Event_ID )
#
# Events.Finance_ID can be joined with Finances.Finance_ID
# Events.Address_ID can be joined with Addresses.Address_ID
# Events.Location_ID can be joined with Locations.Location_ID
# Products_in_Events.Product_ID can be joined with Products.Product_ID
# Products_in_Events.Event_ID can be joined with Events.Event_ID
# Parties_in_Events.Event_ID can be joined with Events.Event_ID
# Parties_in_Events.Party_ID can be joined with Parties.Party_ID
# Agreements.Event_ID can be joined with Events.Event_ID
# Assets_in_Events.Event_ID can be joined with Events.Event_ID
# Assets_in_Events.Event_ID can be joined with Events.Event_ID
#
### Question:
#
# List the names of products that are not in any event.
#
### SQL:
#
# SELECT Product_Name FROM Products WHERE Product_ID NOT IN (SELECT Product_ID FROM Products_in_Events)
#
### End.
|
entertainment_awards
|
### Complete SQL query only and with no explanation
### SQL tables followed by foreign key information:
#
# festival_detail ( Festival_ID, Festival_Name, Chair_Name, Location, Year, Num_of_Audience )
# artwork ( Artwork_ID, Type, Name )
# nomination ( Artwork_ID, Festival_ID, Result )
#
# nomination.Festival_ID can be joined with festival_detail.Festival_ID
# nomination.Artwork_ID can be joined with artwork.Artwork_ID
#
### Question:
#
# How many artworks are there?
#
### SQL:
#
# SELECT count(*) FROM artwork
#
### End.
|
entertainment_awards
|
### Complete SQL query only and with no explanation
### SQL tables followed by foreign key information:
#
# festival_detail ( Festival_ID, Festival_Name, Chair_Name, Location, Year, Num_of_Audience )
# artwork ( Artwork_ID, Type, Name )
# nomination ( Artwork_ID, Festival_ID, Result )
#
# nomination.Festival_ID can be joined with festival_detail.Festival_ID
# nomination.Artwork_ID can be joined with artwork.Artwork_ID
#
### Question:
#
# List the name of artworks in ascending alphabetical order.
#
### SQL:
#
# SELECT Name FROM artwork ORDER BY Name ASC
#
### End.
|
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