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-- Database schema
| Roles : role_code [ TEXT ] primary_key , role_description [ TEXT ] | Users : user_id [ INT ] primary_key , role_code [ TEXT ] Users.role_code = Roles.role_code , user_name [ TEXT ] , user_login [ TEXT ] , password [ TEXT ] | Document_Structures : document_structure_code [ TEXT ] primary_key , parent_document_structure_code [ TEXT ] , document_structure_description [ TEXT ] | Functional_Areas : functional_area_code [ TEXT ] primary_key , parent_functional_area_code [ TEXT ] , functional_area_description [ TEXT ] | Images : image_id [ INT ] primary_key , image_alt_text [ TEXT ] , image_name [ TEXT ] , image_url [ TEXT ] | Documents : document_code [ TEXT ] primary_key , document_structure_code [ TEXT ] Documents.document_structure_code = Document_Structures.document_structure_code , document_type_code [ TEXT ] , access_count [ INT ] , document_name [ TEXT ] | Document_Functional_Areas : document_code [ TEXT ] Document_Functional_Areas.document_code = Documents.document_code , functional_area_code [ TEXT ] Document_Functional_Areas.functional_area_code = Functional_Areas.functional_area_code | Document_Sections : section_id [ INT ] primary_key , document_code [ TEXT ] Document_Sections.document_code = Documents.document_code , section_sequence [ INT ] , section_code [ TEXT ] , section_title [ TEXT ] | Document_Sections_Images : section_id [ INT ] primary_key Document_Sections_Images.section_id = Document_Sections.section_id , image_id [ INT ] Document_Sections_Images.image_id = Images.image_id |
-- -- What are the names of all the documents, as well as the access counts of each, ordered alphabetically?
| SELECT document_name , access_count FROM documents ORDER BY document_name; |
-- Database schema
| Roles : role_code [ TEXT ] primary_key , role_description [ TEXT ] | Users : user_id [ INT ] primary_key , role_code [ TEXT ] Users.role_code = Roles.role_code , user_name [ TEXT ] , user_login [ TEXT ] , password [ TEXT ] | Document_Structures : document_structure_code [ TEXT ] primary_key , parent_document_structure_code [ TEXT ] , document_structure_description [ TEXT ] | Functional_Areas : functional_area_code [ TEXT ] primary_key , parent_functional_area_code [ TEXT ] , functional_area_description [ TEXT ] | Images : image_id [ INT ] primary_key , image_alt_text [ TEXT ] , image_name [ TEXT ] , image_url [ TEXT ] | Documents : document_code [ TEXT ] primary_key , document_structure_code [ TEXT ] Documents.document_structure_code = Document_Structures.document_structure_code , document_type_code [ TEXT ] , access_count [ INT ] , document_name [ TEXT ] | Document_Functional_Areas : document_code [ TEXT ] Document_Functional_Areas.document_code = Documents.document_code , functional_area_code [ TEXT ] Document_Functional_Areas.functional_area_code = Functional_Areas.functional_area_code | Document_Sections : section_id [ INT ] primary_key , document_code [ TEXT ] Document_Sections.document_code = Documents.document_code , section_sequence [ INT ] , section_code [ TEXT ] , section_title [ TEXT ] | Document_Sections_Images : section_id [ INT ] primary_key Document_Sections_Images.section_id = Document_Sections.section_id , image_id [ INT ] Document_Sections_Images.image_id = Images.image_id |
-- -- Find the name of the document that has been accessed the greatest number of times, as well as the count of how many times it has been accessed?
| SELECT document_name , access_count FROM documents ORDER BY access_count DESC LIMIT 1; |
-- Database schema
| Roles : role_code [ TEXT ] primary_key , role_description [ TEXT ] | Users : user_id [ INT ] primary_key , role_code [ TEXT ] Users.role_code = Roles.role_code , user_name [ TEXT ] , user_login [ TEXT ] , password [ TEXT ] | Document_Structures : document_structure_code [ TEXT ] primary_key , parent_document_structure_code [ TEXT ] , document_structure_description [ TEXT ] | Functional_Areas : functional_area_code [ TEXT ] primary_key , parent_functional_area_code [ TEXT ] , functional_area_description [ TEXT ] | Images : image_id [ INT ] primary_key , image_alt_text [ TEXT ] , image_name [ TEXT ] , image_url [ TEXT ] | Documents : document_code [ TEXT ] primary_key , document_structure_code [ TEXT ] Documents.document_structure_code = Document_Structures.document_structure_code , document_type_code [ TEXT ] , access_count [ INT ] , document_name [ TEXT ] | Document_Functional_Areas : document_code [ TEXT ] Document_Functional_Areas.document_code = Documents.document_code , functional_area_code [ TEXT ] Document_Functional_Areas.functional_area_code = Functional_Areas.functional_area_code | Document_Sections : section_id [ INT ] primary_key , document_code [ TEXT ] Document_Sections.document_code = Documents.document_code , section_sequence [ INT ] , section_code [ TEXT ] , section_title [ TEXT ] | Document_Sections_Images : section_id [ INT ] primary_key Document_Sections_Images.section_id = Document_Sections.section_id , image_id [ INT ] Document_Sections_Images.image_id = Images.image_id |
-- -- What is the name of the document which has been accessed the most times, as well as the number of times it has been accessed?
| SELECT document_name , access_count FROM documents ORDER BY access_count DESC LIMIT 1; |
-- Database schema
| Roles : role_code [ TEXT ] primary_key , role_description [ TEXT ] | Users : user_id [ INT ] primary_key , role_code [ TEXT ] Users.role_code = Roles.role_code , user_name [ TEXT ] , user_login [ TEXT ] , password [ TEXT ] | Document_Structures : document_structure_code [ TEXT ] primary_key , parent_document_structure_code [ TEXT ] , document_structure_description [ TEXT ] | Functional_Areas : functional_area_code [ TEXT ] primary_key , parent_functional_area_code [ TEXT ] , functional_area_description [ TEXT ] | Images : image_id [ INT ] primary_key , image_alt_text [ TEXT ] , image_name [ TEXT ] , image_url [ TEXT ] | Documents : document_code [ TEXT ] primary_key , document_structure_code [ TEXT ] Documents.document_structure_code = Document_Structures.document_structure_code , document_type_code [ TEXT ] , access_count [ INT ] , document_name [ TEXT ] | Document_Functional_Areas : document_code [ TEXT ] Document_Functional_Areas.document_code = Documents.document_code , functional_area_code [ TEXT ] Document_Functional_Areas.functional_area_code = Functional_Areas.functional_area_code | Document_Sections : section_id [ INT ] primary_key , document_code [ TEXT ] Document_Sections.document_code = Documents.document_code , section_sequence [ INT ] , section_code [ TEXT ] , section_title [ TEXT ] | Document_Sections_Images : section_id [ INT ] primary_key Document_Sections_Images.section_id = Document_Sections.section_id , image_id [ INT ] Document_Sections_Images.image_id = Images.image_id |
-- -- Find the types of documents with more than 4 documents.
| SELECT document_type_code FROM documents GROUP BY document_type_code HAVING count(*) > 4; |
-- Database schema
| Roles : role_code [ TEXT ] primary_key , role_description [ TEXT ] | Users : user_id [ INT ] primary_key , role_code [ TEXT ] Users.role_code = Roles.role_code , user_name [ TEXT ] , user_login [ TEXT ] , password [ TEXT ] | Document_Structures : document_structure_code [ TEXT ] primary_key , parent_document_structure_code [ TEXT ] , document_structure_description [ TEXT ] | Functional_Areas : functional_area_code [ TEXT ] primary_key , parent_functional_area_code [ TEXT ] , functional_area_description [ TEXT ] | Images : image_id [ INT ] primary_key , image_alt_text [ TEXT ] , image_name [ TEXT ] , image_url [ TEXT ] | Documents : document_code [ TEXT ] primary_key , document_structure_code [ TEXT ] Documents.document_structure_code = Document_Structures.document_structure_code , document_type_code [ TEXT ] , access_count [ INT ] , document_name [ TEXT ] | Document_Functional_Areas : document_code [ TEXT ] Document_Functional_Areas.document_code = Documents.document_code , functional_area_code [ TEXT ] Document_Functional_Areas.functional_area_code = Functional_Areas.functional_area_code | Document_Sections : section_id [ INT ] primary_key , document_code [ TEXT ] Document_Sections.document_code = Documents.document_code , section_sequence [ INT ] , section_code [ TEXT ] , section_title [ TEXT ] | Document_Sections_Images : section_id [ INT ] primary_key Document_Sections_Images.section_id = Document_Sections.section_id , image_id [ INT ] Document_Sections_Images.image_id = Images.image_id |
-- -- What are the codes of types of documents of which there are for or more?
| SELECT document_type_code FROM documents GROUP BY document_type_code HAVING count(*) > 4; |
-- Database schema
| Roles : role_code [ TEXT ] primary_key , role_description [ TEXT ] | Users : user_id [ INT ] primary_key , role_code [ TEXT ] Users.role_code = Roles.role_code , user_name [ TEXT ] , user_login [ TEXT ] , password [ TEXT ] | Document_Structures : document_structure_code [ TEXT ] primary_key , parent_document_structure_code [ TEXT ] , document_structure_description [ TEXT ] | Functional_Areas : functional_area_code [ TEXT ] primary_key , parent_functional_area_code [ TEXT ] , functional_area_description [ TEXT ] | Images : image_id [ INT ] primary_key , image_alt_text [ TEXT ] , image_name [ TEXT ] , image_url [ TEXT ] | Documents : document_code [ TEXT ] primary_key , document_structure_code [ TEXT ] Documents.document_structure_code = Document_Structures.document_structure_code , document_type_code [ TEXT ] , access_count [ INT ] , document_name [ TEXT ] | Document_Functional_Areas : document_code [ TEXT ] Document_Functional_Areas.document_code = Documents.document_code , functional_area_code [ TEXT ] Document_Functional_Areas.functional_area_code = Functional_Areas.functional_area_code | Document_Sections : section_id [ INT ] primary_key , document_code [ TEXT ] Document_Sections.document_code = Documents.document_code , section_sequence [ INT ] , section_code [ TEXT ] , section_title [ TEXT ] | Document_Sections_Images : section_id [ INT ] primary_key Document_Sections_Images.section_id = Document_Sections.section_id , image_id [ INT ] Document_Sections_Images.image_id = Images.image_id |
-- -- Find the total access count of all documents in the most popular document type.
| SELECT sum(access_count) FROM documents GROUP BY document_type_code ORDER BY count(*) DESC LIMIT 1; |
-- Database schema
| Roles : role_code [ TEXT ] primary_key , role_description [ TEXT ] | Users : user_id [ INT ] primary_key , role_code [ TEXT ] Users.role_code = Roles.role_code , user_name [ TEXT ] , user_login [ TEXT ] , password [ TEXT ] | Document_Structures : document_structure_code [ TEXT ] primary_key , parent_document_structure_code [ TEXT ] , document_structure_description [ TEXT ] | Functional_Areas : functional_area_code [ TEXT ] primary_key , parent_functional_area_code [ TEXT ] , functional_area_description [ TEXT ] | Images : image_id [ INT ] primary_key , image_alt_text [ TEXT ] , image_name [ TEXT ] , image_url [ TEXT ] | Documents : document_code [ TEXT ] primary_key , document_structure_code [ TEXT ] Documents.document_structure_code = Document_Structures.document_structure_code , document_type_code [ TEXT ] , access_count [ INT ] , document_name [ TEXT ] | Document_Functional_Areas : document_code [ TEXT ] Document_Functional_Areas.document_code = Documents.document_code , functional_area_code [ TEXT ] Document_Functional_Areas.functional_area_code = Functional_Areas.functional_area_code | Document_Sections : section_id [ INT ] primary_key , document_code [ TEXT ] Document_Sections.document_code = Documents.document_code , section_sequence [ INT ] , section_code [ TEXT ] , section_title [ TEXT ] | Document_Sections_Images : section_id [ INT ] primary_key Document_Sections_Images.section_id = Document_Sections.section_id , image_id [ INT ] Document_Sections_Images.image_id = Images.image_id |
-- -- What is the total access count of documents that are of the most common document type?
| SELECT sum(access_count) FROM documents GROUP BY document_type_code ORDER BY count(*) DESC LIMIT 1; |
-- Database schema
| Roles : role_code [ TEXT ] primary_key , role_description [ TEXT ] | Users : user_id [ INT ] primary_key , role_code [ TEXT ] Users.role_code = Roles.role_code , user_name [ TEXT ] , user_login [ TEXT ] , password [ TEXT ] | Document_Structures : document_structure_code [ TEXT ] primary_key , parent_document_structure_code [ TEXT ] , document_structure_description [ TEXT ] | Functional_Areas : functional_area_code [ TEXT ] primary_key , parent_functional_area_code [ TEXT ] , functional_area_description [ TEXT ] | Images : image_id [ INT ] primary_key , image_alt_text [ TEXT ] , image_name [ TEXT ] , image_url [ TEXT ] | Documents : document_code [ TEXT ] primary_key , document_structure_code [ TEXT ] Documents.document_structure_code = Document_Structures.document_structure_code , document_type_code [ TEXT ] , access_count [ INT ] , document_name [ TEXT ] | Document_Functional_Areas : document_code [ TEXT ] Document_Functional_Areas.document_code = Documents.document_code , functional_area_code [ TEXT ] Document_Functional_Areas.functional_area_code = Functional_Areas.functional_area_code | Document_Sections : section_id [ INT ] primary_key , document_code [ TEXT ] Document_Sections.document_code = Documents.document_code , section_sequence [ INT ] , section_code [ TEXT ] , section_title [ TEXT ] | Document_Sections_Images : section_id [ INT ] primary_key Document_Sections_Images.section_id = Document_Sections.section_id , image_id [ INT ] Document_Sections_Images.image_id = Images.image_id |
-- -- What is the average access count of documents?
| SELECT avg(access_count) FROM documents; |
-- Database schema
| Roles : role_code [ TEXT ] primary_key , role_description [ TEXT ] | Users : user_id [ INT ] primary_key , role_code [ TEXT ] Users.role_code = Roles.role_code , user_name [ TEXT ] , user_login [ TEXT ] , password [ TEXT ] | Document_Structures : document_structure_code [ TEXT ] primary_key , parent_document_structure_code [ TEXT ] , document_structure_description [ TEXT ] | Functional_Areas : functional_area_code [ TEXT ] primary_key , parent_functional_area_code [ TEXT ] , functional_area_description [ TEXT ] | Images : image_id [ INT ] primary_key , image_alt_text [ TEXT ] , image_name [ TEXT ] , image_url [ TEXT ] | Documents : document_code [ TEXT ] primary_key , document_structure_code [ TEXT ] Documents.document_structure_code = Document_Structures.document_structure_code , document_type_code [ TEXT ] , access_count [ INT ] , document_name [ TEXT ] | Document_Functional_Areas : document_code [ TEXT ] Document_Functional_Areas.document_code = Documents.document_code , functional_area_code [ TEXT ] Document_Functional_Areas.functional_area_code = Functional_Areas.functional_area_code | Document_Sections : section_id [ INT ] primary_key , document_code [ TEXT ] Document_Sections.document_code = Documents.document_code , section_sequence [ INT ] , section_code [ TEXT ] , section_title [ TEXT ] | Document_Sections_Images : section_id [ INT ] primary_key Document_Sections_Images.section_id = Document_Sections.section_id , image_id [ INT ] Document_Sections_Images.image_id = Images.image_id |
-- -- Find the average access count across all documents?
| SELECT avg(access_count) FROM documents; |
-- Database schema
| Roles : role_code [ TEXT ] primary_key , role_description [ TEXT ] | Users : user_id [ INT ] primary_key , role_code [ TEXT ] Users.role_code = Roles.role_code , user_name [ TEXT ] , user_login [ TEXT ] , password [ TEXT ] | Document_Structures : document_structure_code [ TEXT ] primary_key , parent_document_structure_code [ TEXT ] , document_structure_description [ TEXT ] | Functional_Areas : functional_area_code [ TEXT ] primary_key , parent_functional_area_code [ TEXT ] , functional_area_description [ TEXT ] | Images : image_id [ INT ] primary_key , image_alt_text [ TEXT ] , image_name [ TEXT ] , image_url [ TEXT ] | Documents : document_code [ TEXT ] primary_key , document_structure_code [ TEXT ] Documents.document_structure_code = Document_Structures.document_structure_code , document_type_code [ TEXT ] , access_count [ INT ] , document_name [ TEXT ] | Document_Functional_Areas : document_code [ TEXT ] Document_Functional_Areas.document_code = Documents.document_code , functional_area_code [ TEXT ] Document_Functional_Areas.functional_area_code = Functional_Areas.functional_area_code | Document_Sections : section_id [ INT ] primary_key , document_code [ TEXT ] Document_Sections.document_code = Documents.document_code , section_sequence [ INT ] , section_code [ TEXT ] , section_title [ TEXT ] | Document_Sections_Images : section_id [ INT ] primary_key Document_Sections_Images.section_id = Document_Sections.section_id , image_id [ INT ] Document_Sections_Images.image_id = Images.image_id |
-- -- What is the structure of the document with the least number of accesses?
| SELECT t2.document_structure_description FROM documents AS t1 JOIN document_structures AS t2 ON t1.document_structure_code = t2.document_structure_code GROUP BY t1.document_structure_code ORDER BY count(*) DESC LIMIT 1; |
-- Database schema
| Roles : role_code [ TEXT ] primary_key , role_description [ TEXT ] | Users : user_id [ INT ] primary_key , role_code [ TEXT ] Users.role_code = Roles.role_code , user_name [ TEXT ] , user_login [ TEXT ] , password [ TEXT ] | Document_Structures : document_structure_code [ TEXT ] primary_key , parent_document_structure_code [ TEXT ] , document_structure_description [ TEXT ] | Functional_Areas : functional_area_code [ TEXT ] primary_key , parent_functional_area_code [ TEXT ] , functional_area_description [ TEXT ] | Images : image_id [ INT ] primary_key , image_alt_text [ TEXT ] , image_name [ TEXT ] , image_url [ TEXT ] | Documents : document_code [ TEXT ] primary_key , document_structure_code [ TEXT ] Documents.document_structure_code = Document_Structures.document_structure_code , document_type_code [ TEXT ] , access_count [ INT ] , document_name [ TEXT ] | Document_Functional_Areas : document_code [ TEXT ] Document_Functional_Areas.document_code = Documents.document_code , functional_area_code [ TEXT ] Document_Functional_Areas.functional_area_code = Functional_Areas.functional_area_code | Document_Sections : section_id [ INT ] primary_key , document_code [ TEXT ] Document_Sections.document_code = Documents.document_code , section_sequence [ INT ] , section_code [ TEXT ] , section_title [ TEXT ] | Document_Sections_Images : section_id [ INT ] primary_key Document_Sections_Images.section_id = Document_Sections.section_id , image_id [ INT ] Document_Sections_Images.image_id = Images.image_id |
-- -- Return the structure description of the document that has been accessed the fewest number of times.
| SELECT t2.document_structure_description FROM documents AS t1 JOIN document_structures AS t2 ON t1.document_structure_code = t2.document_structure_code GROUP BY t1.document_structure_code ORDER BY count(*) DESC LIMIT 1; |
-- Database schema
| Roles : role_code [ TEXT ] primary_key , role_description [ TEXT ] | Users : user_id [ INT ] primary_key , role_code [ TEXT ] Users.role_code = Roles.role_code , user_name [ TEXT ] , user_login [ TEXT ] , password [ TEXT ] | Document_Structures : document_structure_code [ TEXT ] primary_key , parent_document_structure_code [ TEXT ] , document_structure_description [ TEXT ] | Functional_Areas : functional_area_code [ TEXT ] primary_key , parent_functional_area_code [ TEXT ] , functional_area_description [ TEXT ] | Images : image_id [ INT ] primary_key , image_alt_text [ TEXT ] , image_name [ TEXT ] , image_url [ TEXT ] | Documents : document_code [ TEXT ] primary_key , document_structure_code [ TEXT ] Documents.document_structure_code = Document_Structures.document_structure_code , document_type_code [ TEXT ] , access_count [ INT ] , document_name [ TEXT ] | Document_Functional_Areas : document_code [ TEXT ] Document_Functional_Areas.document_code = Documents.document_code , functional_area_code [ TEXT ] Document_Functional_Areas.functional_area_code = Functional_Areas.functional_area_code | Document_Sections : section_id [ INT ] primary_key , document_code [ TEXT ] Document_Sections.document_code = Documents.document_code , section_sequence [ INT ] , section_code [ TEXT ] , section_title [ TEXT ] | Document_Sections_Images : section_id [ INT ] primary_key Document_Sections_Images.section_id = Document_Sections.section_id , image_id [ INT ] Document_Sections_Images.image_id = Images.image_id |
-- -- What is the type of the document named "David CV"?
| SELECT document_type_code FROM documents WHERE document_name = "David CV"; |
-- Database schema
| Roles : role_code [ TEXT ] primary_key , role_description [ TEXT ] | Users : user_id [ INT ] primary_key , role_code [ TEXT ] Users.role_code = Roles.role_code , user_name [ TEXT ] , user_login [ TEXT ] , password [ TEXT ] | Document_Structures : document_structure_code [ TEXT ] primary_key , parent_document_structure_code [ TEXT ] , document_structure_description [ TEXT ] | Functional_Areas : functional_area_code [ TEXT ] primary_key , parent_functional_area_code [ TEXT ] , functional_area_description [ TEXT ] | Images : image_id [ INT ] primary_key , image_alt_text [ TEXT ] , image_name [ TEXT ] , image_url [ TEXT ] | Documents : document_code [ TEXT ] primary_key , document_structure_code [ TEXT ] Documents.document_structure_code = Document_Structures.document_structure_code , document_type_code [ TEXT ] , access_count [ INT ] , document_name [ TEXT ] | Document_Functional_Areas : document_code [ TEXT ] Document_Functional_Areas.document_code = Documents.document_code , functional_area_code [ TEXT ] Document_Functional_Areas.functional_area_code = Functional_Areas.functional_area_code | Document_Sections : section_id [ INT ] primary_key , document_code [ TEXT ] Document_Sections.document_code = Documents.document_code , section_sequence [ INT ] , section_code [ TEXT ] , section_title [ TEXT ] | Document_Sections_Images : section_id [ INT ] primary_key Document_Sections_Images.section_id = Document_Sections.section_id , image_id [ INT ] Document_Sections_Images.image_id = Images.image_id |
-- -- Return the type code of the document named "David CV".
| SELECT document_type_code FROM documents WHERE document_name = "David CV"; |
-- Database schema
| Roles : role_code [ TEXT ] primary_key , role_description [ TEXT ] | Users : user_id [ INT ] primary_key , role_code [ TEXT ] Users.role_code = Roles.role_code , user_name [ TEXT ] , user_login [ TEXT ] , password [ TEXT ] | Document_Structures : document_structure_code [ TEXT ] primary_key , parent_document_structure_code [ TEXT ] , document_structure_description [ TEXT ] | Functional_Areas : functional_area_code [ TEXT ] primary_key , parent_functional_area_code [ TEXT ] , functional_area_description [ TEXT ] | Images : image_id [ INT ] primary_key , image_alt_text [ TEXT ] , image_name [ TEXT ] , image_url [ TEXT ] | Documents : document_code [ TEXT ] primary_key , document_structure_code [ TEXT ] Documents.document_structure_code = Document_Structures.document_structure_code , document_type_code [ TEXT ] , access_count [ INT ] , document_name [ TEXT ] | Document_Functional_Areas : document_code [ TEXT ] Document_Functional_Areas.document_code = Documents.document_code , functional_area_code [ TEXT ] Document_Functional_Areas.functional_area_code = Functional_Areas.functional_area_code | Document_Sections : section_id [ INT ] primary_key , document_code [ TEXT ] Document_Sections.document_code = Documents.document_code , section_sequence [ INT ] , section_code [ TEXT ] , section_title [ TEXT ] | Document_Sections_Images : section_id [ INT ] primary_key Document_Sections_Images.section_id = Document_Sections.section_id , image_id [ INT ] Document_Sections_Images.image_id = Images.image_id |
-- -- Find the list of documents that are both in the most three popular type and have the most three popular structure.
| SELECT document_name FROM documents GROUP BY document_type_code ORDER BY count(*) DESC LIMIT 3 INTERSECT SELECT document_name FROM documents GROUP BY document_structure_code ORDER BY count(*) DESC LIMIT 3; |
-- Database schema
| Roles : role_code [ TEXT ] primary_key , role_description [ TEXT ] | Users : user_id [ INT ] primary_key , role_code [ TEXT ] Users.role_code = Roles.role_code , user_name [ TEXT ] , user_login [ TEXT ] , password [ TEXT ] | Document_Structures : document_structure_code [ TEXT ] primary_key , parent_document_structure_code [ TEXT ] , document_structure_description [ TEXT ] | Functional_Areas : functional_area_code [ TEXT ] primary_key , parent_functional_area_code [ TEXT ] , functional_area_description [ TEXT ] | Images : image_id [ INT ] primary_key , image_alt_text [ TEXT ] , image_name [ TEXT ] , image_url [ TEXT ] | Documents : document_code [ TEXT ] primary_key , document_structure_code [ TEXT ] Documents.document_structure_code = Document_Structures.document_structure_code , document_type_code [ TEXT ] , access_count [ INT ] , document_name [ TEXT ] | Document_Functional_Areas : document_code [ TEXT ] Document_Functional_Areas.document_code = Documents.document_code , functional_area_code [ TEXT ] Document_Functional_Areas.functional_area_code = Functional_Areas.functional_area_code | Document_Sections : section_id [ INT ] primary_key , document_code [ TEXT ] Document_Sections.document_code = Documents.document_code , section_sequence [ INT ] , section_code [ TEXT ] , section_title [ TEXT ] | Document_Sections_Images : section_id [ INT ] primary_key Document_Sections_Images.section_id = Document_Sections.section_id , image_id [ INT ] Document_Sections_Images.image_id = Images.image_id |
-- -- What are the names of documents that have both one of the three most common types and one of three most common structures?
| SELECT document_name FROM documents GROUP BY document_type_code ORDER BY count(*) DESC LIMIT 3 INTERSECT SELECT document_name FROM documents GROUP BY document_structure_code ORDER BY count(*) DESC LIMIT 3; |
-- Database schema
| Roles : role_code [ TEXT ] primary_key , role_description [ TEXT ] | Users : user_id [ INT ] primary_key , role_code [ TEXT ] Users.role_code = Roles.role_code , user_name [ TEXT ] , user_login [ TEXT ] , password [ TEXT ] | Document_Structures : document_structure_code [ TEXT ] primary_key , parent_document_structure_code [ TEXT ] , document_structure_description [ TEXT ] | Functional_Areas : functional_area_code [ TEXT ] primary_key , parent_functional_area_code [ TEXT ] , functional_area_description [ TEXT ] | Images : image_id [ INT ] primary_key , image_alt_text [ TEXT ] , image_name [ TEXT ] , image_url [ TEXT ] | Documents : document_code [ TEXT ] primary_key , document_structure_code [ TEXT ] Documents.document_structure_code = Document_Structures.document_structure_code , document_type_code [ TEXT ] , access_count [ INT ] , document_name [ TEXT ] | Document_Functional_Areas : document_code [ TEXT ] Document_Functional_Areas.document_code = Documents.document_code , functional_area_code [ TEXT ] Document_Functional_Areas.functional_area_code = Functional_Areas.functional_area_code | Document_Sections : section_id [ INT ] primary_key , document_code [ TEXT ] Document_Sections.document_code = Documents.document_code , section_sequence [ INT ] , section_code [ TEXT ] , section_title [ TEXT ] | Document_Sections_Images : section_id [ INT ] primary_key Document_Sections_Images.section_id = Document_Sections.section_id , image_id [ INT ] Document_Sections_Images.image_id = Images.image_id |
-- -- What document types do have more than 10000 total access number.
| SELECT document_type_code FROM documents GROUP BY document_type_code HAVING sum(access_count) > 10000; |
-- Database schema
| Roles : role_code [ TEXT ] primary_key , role_description [ TEXT ] | Users : user_id [ INT ] primary_key , role_code [ TEXT ] Users.role_code = Roles.role_code , user_name [ TEXT ] , user_login [ TEXT ] , password [ TEXT ] | Document_Structures : document_structure_code [ TEXT ] primary_key , parent_document_structure_code [ TEXT ] , document_structure_description [ TEXT ] | Functional_Areas : functional_area_code [ TEXT ] primary_key , parent_functional_area_code [ TEXT ] , functional_area_description [ TEXT ] | Images : image_id [ INT ] primary_key , image_alt_text [ TEXT ] , image_name [ TEXT ] , image_url [ TEXT ] | Documents : document_code [ TEXT ] primary_key , document_structure_code [ TEXT ] Documents.document_structure_code = Document_Structures.document_structure_code , document_type_code [ TEXT ] , access_count [ INT ] , document_name [ TEXT ] | Document_Functional_Areas : document_code [ TEXT ] Document_Functional_Areas.document_code = Documents.document_code , functional_area_code [ TEXT ] Document_Functional_Areas.functional_area_code = Functional_Areas.functional_area_code | Document_Sections : section_id [ INT ] primary_key , document_code [ TEXT ] Document_Sections.document_code = Documents.document_code , section_sequence [ INT ] , section_code [ TEXT ] , section_title [ TEXT ] | Document_Sections_Images : section_id [ INT ] primary_key Document_Sections_Images.section_id = Document_Sections.section_id , image_id [ INT ] Document_Sections_Images.image_id = Images.image_id |
-- -- Return the codes of the document types that do not have a total access count of over 10000.
| SELECT document_type_code FROM documents GROUP BY document_type_code HAVING sum(access_count) > 10000; |
-- Database schema
| Roles : role_code [ TEXT ] primary_key , role_description [ TEXT ] | Users : user_id [ INT ] primary_key , role_code [ TEXT ] Users.role_code = Roles.role_code , user_name [ TEXT ] , user_login [ TEXT ] , password [ TEXT ] | Document_Structures : document_structure_code [ TEXT ] primary_key , parent_document_structure_code [ TEXT ] , document_structure_description [ TEXT ] | Functional_Areas : functional_area_code [ TEXT ] primary_key , parent_functional_area_code [ TEXT ] , functional_area_description [ TEXT ] | Images : image_id [ INT ] primary_key , image_alt_text [ TEXT ] , image_name [ TEXT ] , image_url [ TEXT ] | Documents : document_code [ TEXT ] primary_key , document_structure_code [ TEXT ] Documents.document_structure_code = Document_Structures.document_structure_code , document_type_code [ TEXT ] , access_count [ INT ] , document_name [ TEXT ] | Document_Functional_Areas : document_code [ TEXT ] Document_Functional_Areas.document_code = Documents.document_code , functional_area_code [ TEXT ] Document_Functional_Areas.functional_area_code = Functional_Areas.functional_area_code | Document_Sections : section_id [ INT ] primary_key , document_code [ TEXT ] Document_Sections.document_code = Documents.document_code , section_sequence [ INT ] , section_code [ TEXT ] , section_title [ TEXT ] | Document_Sections_Images : section_id [ INT ] primary_key Document_Sections_Images.section_id = Document_Sections.section_id , image_id [ INT ] Document_Sections_Images.image_id = Images.image_id |
-- -- What are all the section titles of the document named "David CV"?
| SELECT t2.section_title FROM documents AS t1 JOIN document_sections AS t2 ON t1.document_code = t2.document_code WHERE t1.document_name = "David CV"; |
-- Database schema
| Roles : role_code [ TEXT ] primary_key , role_description [ TEXT ] | Users : user_id [ INT ] primary_key , role_code [ TEXT ] Users.role_code = Roles.role_code , user_name [ TEXT ] , user_login [ TEXT ] , password [ TEXT ] | Document_Structures : document_structure_code [ TEXT ] primary_key , parent_document_structure_code [ TEXT ] , document_structure_description [ TEXT ] | Functional_Areas : functional_area_code [ TEXT ] primary_key , parent_functional_area_code [ TEXT ] , functional_area_description [ TEXT ] | Images : image_id [ INT ] primary_key , image_alt_text [ TEXT ] , image_name [ TEXT ] , image_url [ TEXT ] | Documents : document_code [ TEXT ] primary_key , document_structure_code [ TEXT ] Documents.document_structure_code = Document_Structures.document_structure_code , document_type_code [ TEXT ] , access_count [ INT ] , document_name [ TEXT ] | Document_Functional_Areas : document_code [ TEXT ] Document_Functional_Areas.document_code = Documents.document_code , functional_area_code [ TEXT ] Document_Functional_Areas.functional_area_code = Functional_Areas.functional_area_code | Document_Sections : section_id [ INT ] primary_key , document_code [ TEXT ] Document_Sections.document_code = Documents.document_code , section_sequence [ INT ] , section_code [ TEXT ] , section_title [ TEXT ] | Document_Sections_Images : section_id [ INT ] primary_key Document_Sections_Images.section_id = Document_Sections.section_id , image_id [ INT ] Document_Sections_Images.image_id = Images.image_id |
-- -- Give the section titles of the document with the name "David CV".
| SELECT t2.section_title FROM documents AS t1 JOIN document_sections AS t2 ON t1.document_code = t2.document_code WHERE t1.document_name = "David CV"; |
-- Database schema
| Roles : role_code [ TEXT ] primary_key , role_description [ TEXT ] | Users : user_id [ INT ] primary_key , role_code [ TEXT ] Users.role_code = Roles.role_code , user_name [ TEXT ] , user_login [ TEXT ] , password [ TEXT ] | Document_Structures : document_structure_code [ TEXT ] primary_key , parent_document_structure_code [ TEXT ] , document_structure_description [ TEXT ] | Functional_Areas : functional_area_code [ TEXT ] primary_key , parent_functional_area_code [ TEXT ] , functional_area_description [ TEXT ] | Images : image_id [ INT ] primary_key , image_alt_text [ TEXT ] , image_name [ TEXT ] , image_url [ TEXT ] | Documents : document_code [ TEXT ] primary_key , document_structure_code [ TEXT ] Documents.document_structure_code = Document_Structures.document_structure_code , document_type_code [ TEXT ] , access_count [ INT ] , document_name [ TEXT ] | Document_Functional_Areas : document_code [ TEXT ] Document_Functional_Areas.document_code = Documents.document_code , functional_area_code [ TEXT ] Document_Functional_Areas.functional_area_code = Functional_Areas.functional_area_code | Document_Sections : section_id [ INT ] primary_key , document_code [ TEXT ] Document_Sections.document_code = Documents.document_code , section_sequence [ INT ] , section_code [ TEXT ] , section_title [ TEXT ] | Document_Sections_Images : section_id [ INT ] primary_key Document_Sections_Images.section_id = Document_Sections.section_id , image_id [ INT ] Document_Sections_Images.image_id = Images.image_id |
-- -- Find all the name of documents without any sections.
| SELECT document_name FROM documents WHERE document_code NOT IN (SELECT document_code FROM document_sections); |
-- Database schema
| Roles : role_code [ TEXT ] primary_key , role_description [ TEXT ] | Users : user_id [ INT ] primary_key , role_code [ TEXT ] Users.role_code = Roles.role_code , user_name [ TEXT ] , user_login [ TEXT ] , password [ TEXT ] | Document_Structures : document_structure_code [ TEXT ] primary_key , parent_document_structure_code [ TEXT ] , document_structure_description [ TEXT ] | Functional_Areas : functional_area_code [ TEXT ] primary_key , parent_functional_area_code [ TEXT ] , functional_area_description [ TEXT ] | Images : image_id [ INT ] primary_key , image_alt_text [ TEXT ] , image_name [ TEXT ] , image_url [ TEXT ] | Documents : document_code [ TEXT ] primary_key , document_structure_code [ TEXT ] Documents.document_structure_code = Document_Structures.document_structure_code , document_type_code [ TEXT ] , access_count [ INT ] , document_name [ TEXT ] | Document_Functional_Areas : document_code [ TEXT ] Document_Functional_Areas.document_code = Documents.document_code , functional_area_code [ TEXT ] Document_Functional_Areas.functional_area_code = Functional_Areas.functional_area_code | Document_Sections : section_id [ INT ] primary_key , document_code [ TEXT ] Document_Sections.document_code = Documents.document_code , section_sequence [ INT ] , section_code [ TEXT ] , section_title [ TEXT ] | Document_Sections_Images : section_id [ INT ] primary_key Document_Sections_Images.section_id = Document_Sections.section_id , image_id [ INT ] Document_Sections_Images.image_id = Images.image_id |
-- -- What are the names of documents that do not have any sections?
| SELECT document_name FROM documents WHERE document_code NOT IN (SELECT document_code FROM document_sections); |
-- Database schema
| Roles : role_code [ TEXT ] primary_key , role_description [ TEXT ] | Users : user_id [ INT ] primary_key , role_code [ TEXT ] Users.role_code = Roles.role_code , user_name [ TEXT ] , user_login [ TEXT ] , password [ TEXT ] | Document_Structures : document_structure_code [ TEXT ] primary_key , parent_document_structure_code [ TEXT ] , document_structure_description [ TEXT ] | Functional_Areas : functional_area_code [ TEXT ] primary_key , parent_functional_area_code [ TEXT ] , functional_area_description [ TEXT ] | Images : image_id [ INT ] primary_key , image_alt_text [ TEXT ] , image_name [ TEXT ] , image_url [ TEXT ] | Documents : document_code [ TEXT ] primary_key , document_structure_code [ TEXT ] Documents.document_structure_code = Document_Structures.document_structure_code , document_type_code [ TEXT ] , access_count [ INT ] , document_name [ TEXT ] | Document_Functional_Areas : document_code [ TEXT ] Document_Functional_Areas.document_code = Documents.document_code , functional_area_code [ TEXT ] Document_Functional_Areas.functional_area_code = Functional_Areas.functional_area_code | Document_Sections : section_id [ INT ] primary_key , document_code [ TEXT ] Document_Sections.document_code = Documents.document_code , section_sequence [ INT ] , section_code [ TEXT ] , section_title [ TEXT ] | Document_Sections_Images : section_id [ INT ] primary_key Document_Sections_Images.section_id = Document_Sections.section_id , image_id [ INT ] Document_Sections_Images.image_id = Images.image_id |
-- -- List all the username and passwords of users with the most popular role.
| SELECT user_name , password FROM users GROUP BY role_code ORDER BY count(*) DESC LIMIT 1; |
-- Database schema
| Roles : role_code [ TEXT ] primary_key , role_description [ TEXT ] | Users : user_id [ INT ] primary_key , role_code [ TEXT ] Users.role_code = Roles.role_code , user_name [ TEXT ] , user_login [ TEXT ] , password [ TEXT ] | Document_Structures : document_structure_code [ TEXT ] primary_key , parent_document_structure_code [ TEXT ] , document_structure_description [ TEXT ] | Functional_Areas : functional_area_code [ TEXT ] primary_key , parent_functional_area_code [ TEXT ] , functional_area_description [ TEXT ] | Images : image_id [ INT ] primary_key , image_alt_text [ TEXT ] , image_name [ TEXT ] , image_url [ TEXT ] | Documents : document_code [ TEXT ] primary_key , document_structure_code [ TEXT ] Documents.document_structure_code = Document_Structures.document_structure_code , document_type_code [ TEXT ] , access_count [ INT ] , document_name [ TEXT ] | Document_Functional_Areas : document_code [ TEXT ] Document_Functional_Areas.document_code = Documents.document_code , functional_area_code [ TEXT ] Document_Functional_Areas.functional_area_code = Functional_Areas.functional_area_code | Document_Sections : section_id [ INT ] primary_key , document_code [ TEXT ] Document_Sections.document_code = Documents.document_code , section_sequence [ INT ] , section_code [ TEXT ] , section_title [ TEXT ] | Document_Sections_Images : section_id [ INT ] primary_key Document_Sections_Images.section_id = Document_Sections.section_id , image_id [ INT ] Document_Sections_Images.image_id = Images.image_id |
-- -- What are the usernames and passwords of users that have the most common role?
| SELECT user_name , password FROM users GROUP BY role_code ORDER BY count(*) DESC LIMIT 1; |
-- Database schema
| Roles : role_code [ TEXT ] primary_key , role_description [ TEXT ] | Users : user_id [ INT ] primary_key , role_code [ TEXT ] Users.role_code = Roles.role_code , user_name [ TEXT ] , user_login [ TEXT ] , password [ TEXT ] | Document_Structures : document_structure_code [ TEXT ] primary_key , parent_document_structure_code [ TEXT ] , document_structure_description [ TEXT ] | Functional_Areas : functional_area_code [ TEXT ] primary_key , parent_functional_area_code [ TEXT ] , functional_area_description [ TEXT ] | Images : image_id [ INT ] primary_key , image_alt_text [ TEXT ] , image_name [ TEXT ] , image_url [ TEXT ] | Documents : document_code [ TEXT ] primary_key , document_structure_code [ TEXT ] Documents.document_structure_code = Document_Structures.document_structure_code , document_type_code [ TEXT ] , access_count [ INT ] , document_name [ TEXT ] | Document_Functional_Areas : document_code [ TEXT ] Document_Functional_Areas.document_code = Documents.document_code , functional_area_code [ TEXT ] Document_Functional_Areas.functional_area_code = Functional_Areas.functional_area_code | Document_Sections : section_id [ INT ] primary_key , document_code [ TEXT ] Document_Sections.document_code = Documents.document_code , section_sequence [ INT ] , section_code [ TEXT ] , section_title [ TEXT ] | Document_Sections_Images : section_id [ INT ] primary_key Document_Sections_Images.section_id = Document_Sections.section_id , image_id [ INT ] Document_Sections_Images.image_id = Images.image_id |
-- -- Find the average access counts of documents with functional area "Acknowledgement".
| SELECT avg(t1.access_count) FROM documents AS t1 JOIN document_functional_areas AS t2 ON t1.document_code = t2.document_code JOIN functional_areas AS t3 ON t2.functional_area_code = t3.functional_area_code WHERE t3.functional_area_description = "Acknowledgement"; |
-- Database schema
| Roles : role_code [ TEXT ] primary_key , role_description [ TEXT ] | Users : user_id [ INT ] primary_key , role_code [ TEXT ] Users.role_code = Roles.role_code , user_name [ TEXT ] , user_login [ TEXT ] , password [ TEXT ] | Document_Structures : document_structure_code [ TEXT ] primary_key , parent_document_structure_code [ TEXT ] , document_structure_description [ TEXT ] | Functional_Areas : functional_area_code [ TEXT ] primary_key , parent_functional_area_code [ TEXT ] , functional_area_description [ TEXT ] | Images : image_id [ INT ] primary_key , image_alt_text [ TEXT ] , image_name [ TEXT ] , image_url [ TEXT ] | Documents : document_code [ TEXT ] primary_key , document_structure_code [ TEXT ] Documents.document_structure_code = Document_Structures.document_structure_code , document_type_code [ TEXT ] , access_count [ INT ] , document_name [ TEXT ] | Document_Functional_Areas : document_code [ TEXT ] Document_Functional_Areas.document_code = Documents.document_code , functional_area_code [ TEXT ] Document_Functional_Areas.functional_area_code = Functional_Areas.functional_area_code | Document_Sections : section_id [ INT ] primary_key , document_code [ TEXT ] Document_Sections.document_code = Documents.document_code , section_sequence [ INT ] , section_code [ TEXT ] , section_title [ TEXT ] | Document_Sections_Images : section_id [ INT ] primary_key Document_Sections_Images.section_id = Document_Sections.section_id , image_id [ INT ] Document_Sections_Images.image_id = Images.image_id |
-- -- What are the average access counts of documents that have the functional area description "Acknowledgement"?
| SELECT avg(t1.access_count) FROM documents AS t1 JOIN document_functional_areas AS t2 ON t1.document_code = t2.document_code JOIN functional_areas AS t3 ON t2.functional_area_code = t3.functional_area_code WHERE t3.functional_area_description = "Acknowledgement"; |
-- Database schema
| Roles : role_code [ TEXT ] primary_key , role_description [ TEXT ] | Users : user_id [ INT ] primary_key , role_code [ TEXT ] Users.role_code = Roles.role_code , user_name [ TEXT ] , user_login [ TEXT ] , password [ TEXT ] | Document_Structures : document_structure_code [ TEXT ] primary_key , parent_document_structure_code [ TEXT ] , document_structure_description [ TEXT ] | Functional_Areas : functional_area_code [ TEXT ] primary_key , parent_functional_area_code [ TEXT ] , functional_area_description [ TEXT ] | Images : image_id [ INT ] primary_key , image_alt_text [ TEXT ] , image_name [ TEXT ] , image_url [ TEXT ] | Documents : document_code [ TEXT ] primary_key , document_structure_code [ TEXT ] Documents.document_structure_code = Document_Structures.document_structure_code , document_type_code [ TEXT ] , access_count [ INT ] , document_name [ TEXT ] | Document_Functional_Areas : document_code [ TEXT ] Document_Functional_Areas.document_code = Documents.document_code , functional_area_code [ TEXT ] Document_Functional_Areas.functional_area_code = Functional_Areas.functional_area_code | Document_Sections : section_id [ INT ] primary_key , document_code [ TEXT ] Document_Sections.document_code = Documents.document_code , section_sequence [ INT ] , section_code [ TEXT ] , section_title [ TEXT ] | Document_Sections_Images : section_id [ INT ] primary_key Document_Sections_Images.section_id = Document_Sections.section_id , image_id [ INT ] Document_Sections_Images.image_id = Images.image_id |
-- -- Find names of the document without any images.
| SELECT document_name FROM documents EXCEPT SELECT t1.document_name FROM documents AS t1 JOIN document_sections AS t2 ON t1.document_code = t2.document_code JOIN document_sections_images AS t3 ON t2.section_id = t3.section_id; |
-- Database schema
| Roles : role_code [ TEXT ] primary_key , role_description [ TEXT ] | Users : user_id [ INT ] primary_key , role_code [ TEXT ] Users.role_code = Roles.role_code , user_name [ TEXT ] , user_login [ TEXT ] , password [ TEXT ] | Document_Structures : document_structure_code [ TEXT ] primary_key , parent_document_structure_code [ TEXT ] , document_structure_description [ TEXT ] | Functional_Areas : functional_area_code [ TEXT ] primary_key , parent_functional_area_code [ TEXT ] , functional_area_description [ TEXT ] | Images : image_id [ INT ] primary_key , image_alt_text [ TEXT ] , image_name [ TEXT ] , image_url [ TEXT ] | Documents : document_code [ TEXT ] primary_key , document_structure_code [ TEXT ] Documents.document_structure_code = Document_Structures.document_structure_code , document_type_code [ TEXT ] , access_count [ INT ] , document_name [ TEXT ] | Document_Functional_Areas : document_code [ TEXT ] Document_Functional_Areas.document_code = Documents.document_code , functional_area_code [ TEXT ] Document_Functional_Areas.functional_area_code = Functional_Areas.functional_area_code | Document_Sections : section_id [ INT ] primary_key , document_code [ TEXT ] Document_Sections.document_code = Documents.document_code , section_sequence [ INT ] , section_code [ TEXT ] , section_title [ TEXT ] | Document_Sections_Images : section_id [ INT ] primary_key Document_Sections_Images.section_id = Document_Sections.section_id , image_id [ INT ] Document_Sections_Images.image_id = Images.image_id |
-- -- What are the names of documents that do not have any images?
| SELECT document_name FROM documents EXCEPT SELECT t1.document_name FROM documents AS t1 JOIN document_sections AS t2 ON t1.document_code = t2.document_code JOIN document_sections_images AS t3 ON t2.section_id = t3.section_id; |
-- Database schema
| Roles : role_code [ TEXT ] primary_key , role_description [ TEXT ] | Users : user_id [ INT ] primary_key , role_code [ TEXT ] Users.role_code = Roles.role_code , user_name [ TEXT ] , user_login [ TEXT ] , password [ TEXT ] | Document_Structures : document_structure_code [ TEXT ] primary_key , parent_document_structure_code [ TEXT ] , document_structure_description [ TEXT ] | Functional_Areas : functional_area_code [ TEXT ] primary_key , parent_functional_area_code [ TEXT ] , functional_area_description [ TEXT ] | Images : image_id [ INT ] primary_key , image_alt_text [ TEXT ] , image_name [ TEXT ] , image_url [ TEXT ] | Documents : document_code [ TEXT ] primary_key , document_structure_code [ TEXT ] Documents.document_structure_code = Document_Structures.document_structure_code , document_type_code [ TEXT ] , access_count [ INT ] , document_name [ TEXT ] | Document_Functional_Areas : document_code [ TEXT ] Document_Functional_Areas.document_code = Documents.document_code , functional_area_code [ TEXT ] Document_Functional_Areas.functional_area_code = Functional_Areas.functional_area_code | Document_Sections : section_id [ INT ] primary_key , document_code [ TEXT ] Document_Sections.document_code = Documents.document_code , section_sequence [ INT ] , section_code [ TEXT ] , section_title [ TEXT ] | Document_Sections_Images : section_id [ INT ] primary_key Document_Sections_Images.section_id = Document_Sections.section_id , image_id [ INT ] Document_Sections_Images.image_id = Images.image_id |
-- -- What is the name of the document with the most number of sections?
| SELECT t1.document_name FROM documents AS t1 JOIN document_sections AS t2 ON t1.document_code = t2.document_code GROUP BY t1.document_code ORDER BY count(*) DESC LIMIT 1; |
-- Database schema
| Roles : role_code [ TEXT ] primary_key , role_description [ TEXT ] | Users : user_id [ INT ] primary_key , role_code [ TEXT ] Users.role_code = Roles.role_code , user_name [ TEXT ] , user_login [ TEXT ] , password [ TEXT ] | Document_Structures : document_structure_code [ TEXT ] primary_key , parent_document_structure_code [ TEXT ] , document_structure_description [ TEXT ] | Functional_Areas : functional_area_code [ TEXT ] primary_key , parent_functional_area_code [ TEXT ] , functional_area_description [ TEXT ] | Images : image_id [ INT ] primary_key , image_alt_text [ TEXT ] , image_name [ TEXT ] , image_url [ TEXT ] | Documents : document_code [ TEXT ] primary_key , document_structure_code [ TEXT ] Documents.document_structure_code = Document_Structures.document_structure_code , document_type_code [ TEXT ] , access_count [ INT ] , document_name [ TEXT ] | Document_Functional_Areas : document_code [ TEXT ] Document_Functional_Areas.document_code = Documents.document_code , functional_area_code [ TEXT ] Document_Functional_Areas.functional_area_code = Functional_Areas.functional_area_code | Document_Sections : section_id [ INT ] primary_key , document_code [ TEXT ] Document_Sections.document_code = Documents.document_code , section_sequence [ INT ] , section_code [ TEXT ] , section_title [ TEXT ] | Document_Sections_Images : section_id [ INT ] primary_key Document_Sections_Images.section_id = Document_Sections.section_id , image_id [ INT ] Document_Sections_Images.image_id = Images.image_id |
-- -- Return the name of the document that has the most sections.
| SELECT t1.document_name FROM documents AS t1 JOIN document_sections AS t2 ON t1.document_code = t2.document_code GROUP BY t1.document_code ORDER BY count(*) DESC LIMIT 1; |
-- Database schema
| Roles : role_code [ TEXT ] primary_key , role_description [ TEXT ] | Users : user_id [ INT ] primary_key , role_code [ TEXT ] Users.role_code = Roles.role_code , user_name [ TEXT ] , user_login [ TEXT ] , password [ TEXT ] | Document_Structures : document_structure_code [ TEXT ] primary_key , parent_document_structure_code [ TEXT ] , document_structure_description [ TEXT ] | Functional_Areas : functional_area_code [ TEXT ] primary_key , parent_functional_area_code [ TEXT ] , functional_area_description [ TEXT ] | Images : image_id [ INT ] primary_key , image_alt_text [ TEXT ] , image_name [ TEXT ] , image_url [ TEXT ] | Documents : document_code [ TEXT ] primary_key , document_structure_code [ TEXT ] Documents.document_structure_code = Document_Structures.document_structure_code , document_type_code [ TEXT ] , access_count [ INT ] , document_name [ TEXT ] | Document_Functional_Areas : document_code [ TEXT ] Document_Functional_Areas.document_code = Documents.document_code , functional_area_code [ TEXT ] Document_Functional_Areas.functional_area_code = Functional_Areas.functional_area_code | Document_Sections : section_id [ INT ] primary_key , document_code [ TEXT ] Document_Sections.document_code = Documents.document_code , section_sequence [ INT ] , section_code [ TEXT ] , section_title [ TEXT ] | Document_Sections_Images : section_id [ INT ] primary_key Document_Sections_Images.section_id = Document_Sections.section_id , image_id [ INT ] Document_Sections_Images.image_id = Images.image_id |
-- -- List all the document names which contains "CV".
| SELECT document_name FROM documents WHERE document_name LIKE "%CV%"; |
-- Database schema
| Roles : role_code [ TEXT ] primary_key , role_description [ TEXT ] | Users : user_id [ INT ] primary_key , role_code [ TEXT ] Users.role_code = Roles.role_code , user_name [ TEXT ] , user_login [ TEXT ] , password [ TEXT ] | Document_Structures : document_structure_code [ TEXT ] primary_key , parent_document_structure_code [ TEXT ] , document_structure_description [ TEXT ] | Functional_Areas : functional_area_code [ TEXT ] primary_key , parent_functional_area_code [ TEXT ] , functional_area_description [ TEXT ] | Images : image_id [ INT ] primary_key , image_alt_text [ TEXT ] , image_name [ TEXT ] , image_url [ TEXT ] | Documents : document_code [ TEXT ] primary_key , document_structure_code [ TEXT ] Documents.document_structure_code = Document_Structures.document_structure_code , document_type_code [ TEXT ] , access_count [ INT ] , document_name [ TEXT ] | Document_Functional_Areas : document_code [ TEXT ] Document_Functional_Areas.document_code = Documents.document_code , functional_area_code [ TEXT ] Document_Functional_Areas.functional_area_code = Functional_Areas.functional_area_code | Document_Sections : section_id [ INT ] primary_key , document_code [ TEXT ] Document_Sections.document_code = Documents.document_code , section_sequence [ INT ] , section_code [ TEXT ] , section_title [ TEXT ] | Document_Sections_Images : section_id [ INT ] primary_key Document_Sections_Images.section_id = Document_Sections.section_id , image_id [ INT ] Document_Sections_Images.image_id = Images.image_id |
-- -- What are the names of documents that contain the substring "CV"?
| SELECT document_name FROM documents WHERE document_name LIKE "%CV%"; |
-- Database schema
| Roles : role_code [ TEXT ] primary_key , role_description [ TEXT ] | Users : user_id [ INT ] primary_key , role_code [ TEXT ] Users.role_code = Roles.role_code , user_name [ TEXT ] , user_login [ TEXT ] , password [ TEXT ] | Document_Structures : document_structure_code [ TEXT ] primary_key , parent_document_structure_code [ TEXT ] , document_structure_description [ TEXT ] | Functional_Areas : functional_area_code [ TEXT ] primary_key , parent_functional_area_code [ TEXT ] , functional_area_description [ TEXT ] | Images : image_id [ INT ] primary_key , image_alt_text [ TEXT ] , image_name [ TEXT ] , image_url [ TEXT ] | Documents : document_code [ TEXT ] primary_key , document_structure_code [ TEXT ] Documents.document_structure_code = Document_Structures.document_structure_code , document_type_code [ TEXT ] , access_count [ INT ] , document_name [ TEXT ] | Document_Functional_Areas : document_code [ TEXT ] Document_Functional_Areas.document_code = Documents.document_code , functional_area_code [ TEXT ] Document_Functional_Areas.functional_area_code = Functional_Areas.functional_area_code | Document_Sections : section_id [ INT ] primary_key , document_code [ TEXT ] Document_Sections.document_code = Documents.document_code , section_sequence [ INT ] , section_code [ TEXT ] , section_title [ TEXT ] | Document_Sections_Images : section_id [ INT ] primary_key Document_Sections_Images.section_id = Document_Sections.section_id , image_id [ INT ] Document_Sections_Images.image_id = Images.image_id |
-- -- How many users are logged in?
| SELECT count(*) FROM users WHERE user_login = 1; |
-- Database schema
| Roles : role_code [ TEXT ] primary_key , role_description [ TEXT ] | Users : user_id [ INT ] primary_key , role_code [ TEXT ] Users.role_code = Roles.role_code , user_name [ TEXT ] , user_login [ TEXT ] , password [ TEXT ] | Document_Structures : document_structure_code [ TEXT ] primary_key , parent_document_structure_code [ TEXT ] , document_structure_description [ TEXT ] | Functional_Areas : functional_area_code [ TEXT ] primary_key , parent_functional_area_code [ TEXT ] , functional_area_description [ TEXT ] | Images : image_id [ INT ] primary_key , image_alt_text [ TEXT ] , image_name [ TEXT ] , image_url [ TEXT ] | Documents : document_code [ TEXT ] primary_key , document_structure_code [ TEXT ] Documents.document_structure_code = Document_Structures.document_structure_code , document_type_code [ TEXT ] , access_count [ INT ] , document_name [ TEXT ] | Document_Functional_Areas : document_code [ TEXT ] Document_Functional_Areas.document_code = Documents.document_code , functional_area_code [ TEXT ] Document_Functional_Areas.functional_area_code = Functional_Areas.functional_area_code | Document_Sections : section_id [ INT ] primary_key , document_code [ TEXT ] Document_Sections.document_code = Documents.document_code , section_sequence [ INT ] , section_code [ TEXT ] , section_title [ TEXT ] | Document_Sections_Images : section_id [ INT ] primary_key Document_Sections_Images.section_id = Document_Sections.section_id , image_id [ INT ] Document_Sections_Images.image_id = Images.image_id |
-- -- Count the number of users that are logged in.
| SELECT count(*) FROM users WHERE user_login = 1; |
-- Database schema
| Roles : role_code [ TEXT ] primary_key , role_description [ TEXT ] | Users : user_id [ INT ] primary_key , role_code [ TEXT ] Users.role_code = Roles.role_code , user_name [ TEXT ] , user_login [ TEXT ] , password [ TEXT ] | Document_Structures : document_structure_code [ TEXT ] primary_key , parent_document_structure_code [ TEXT ] , document_structure_description [ TEXT ] | Functional_Areas : functional_area_code [ TEXT ] primary_key , parent_functional_area_code [ TEXT ] , functional_area_description [ TEXT ] | Images : image_id [ INT ] primary_key , image_alt_text [ TEXT ] , image_name [ TEXT ] , image_url [ TEXT ] | Documents : document_code [ TEXT ] primary_key , document_structure_code [ TEXT ] Documents.document_structure_code = Document_Structures.document_structure_code , document_type_code [ TEXT ] , access_count [ INT ] , document_name [ TEXT ] | Document_Functional_Areas : document_code [ TEXT ] Document_Functional_Areas.document_code = Documents.document_code , functional_area_code [ TEXT ] Document_Functional_Areas.functional_area_code = Functional_Areas.functional_area_code | Document_Sections : section_id [ INT ] primary_key , document_code [ TEXT ] Document_Sections.document_code = Documents.document_code , section_sequence [ INT ] , section_code [ TEXT ] , section_title [ TEXT ] | Document_Sections_Images : section_id [ INT ] primary_key Document_Sections_Images.section_id = Document_Sections.section_id , image_id [ INT ] Document_Sections_Images.image_id = Images.image_id |
-- -- Find the description of the most popular role among the users that have logged in.
| SELECT role_description FROM ROLES WHERE role_code = (SELECT role_code FROM users WHERE user_login = 1 GROUP BY role_code ORDER BY count(*) DESC LIMIT 1); |
-- Database schema
| Roles : role_code [ TEXT ] primary_key , role_description [ TEXT ] | Users : user_id [ INT ] primary_key , role_code [ TEXT ] Users.role_code = Roles.role_code , user_name [ TEXT ] , user_login [ TEXT ] , password [ TEXT ] | Document_Structures : document_structure_code [ TEXT ] primary_key , parent_document_structure_code [ TEXT ] , document_structure_description [ TEXT ] | Functional_Areas : functional_area_code [ TEXT ] primary_key , parent_functional_area_code [ TEXT ] , functional_area_description [ TEXT ] | Images : image_id [ INT ] primary_key , image_alt_text [ TEXT ] , image_name [ TEXT ] , image_url [ TEXT ] | Documents : document_code [ TEXT ] primary_key , document_structure_code [ TEXT ] Documents.document_structure_code = Document_Structures.document_structure_code , document_type_code [ TEXT ] , access_count [ INT ] , document_name [ TEXT ] | Document_Functional_Areas : document_code [ TEXT ] Document_Functional_Areas.document_code = Documents.document_code , functional_area_code [ TEXT ] Document_Functional_Areas.functional_area_code = Functional_Areas.functional_area_code | Document_Sections : section_id [ INT ] primary_key , document_code [ TEXT ] Document_Sections.document_code = Documents.document_code , section_sequence [ INT ] , section_code [ TEXT ] , section_title [ TEXT ] | Document_Sections_Images : section_id [ INT ] primary_key Document_Sections_Images.section_id = Document_Sections.section_id , image_id [ INT ] Document_Sections_Images.image_id = Images.image_id |
-- -- What is the description of the most popular role among users that have logged in?
| SELECT role_description FROM ROLES WHERE role_code = (SELECT role_code FROM users WHERE user_login = 1 GROUP BY role_code ORDER BY count(*) DESC LIMIT 1); |
-- Database schema
| Roles : role_code [ TEXT ] primary_key , role_description [ TEXT ] | Users : user_id [ INT ] primary_key , role_code [ TEXT ] Users.role_code = Roles.role_code , user_name [ TEXT ] , user_login [ TEXT ] , password [ TEXT ] | Document_Structures : document_structure_code [ TEXT ] primary_key , parent_document_structure_code [ TEXT ] , document_structure_description [ TEXT ] | Functional_Areas : functional_area_code [ TEXT ] primary_key , parent_functional_area_code [ TEXT ] , functional_area_description [ TEXT ] | Images : image_id [ INT ] primary_key , image_alt_text [ TEXT ] , image_name [ TEXT ] , image_url [ TEXT ] | Documents : document_code [ TEXT ] primary_key , document_structure_code [ TEXT ] Documents.document_structure_code = Document_Structures.document_structure_code , document_type_code [ TEXT ] , access_count [ INT ] , document_name [ TEXT ] | Document_Functional_Areas : document_code [ TEXT ] Document_Functional_Areas.document_code = Documents.document_code , functional_area_code [ TEXT ] Document_Functional_Areas.functional_area_code = Functional_Areas.functional_area_code | Document_Sections : section_id [ INT ] primary_key , document_code [ TEXT ] Document_Sections.document_code = Documents.document_code , section_sequence [ INT ] , section_code [ TEXT ] , section_title [ TEXT ] | Document_Sections_Images : section_id [ INT ] primary_key Document_Sections_Images.section_id = Document_Sections.section_id , image_id [ INT ] Document_Sections_Images.image_id = Images.image_id |
-- -- Find the average access count of documents with the least popular structure.
| SELECT avg(access_count) FROM documents GROUP BY document_structure_code ORDER BY count(*) ASC LIMIT 1; |
-- Database schema
| Roles : role_code [ TEXT ] primary_key , role_description [ TEXT ] | Users : user_id [ INT ] primary_key , role_code [ TEXT ] Users.role_code = Roles.role_code , user_name [ TEXT ] , user_login [ TEXT ] , password [ TEXT ] | Document_Structures : document_structure_code [ TEXT ] primary_key , parent_document_structure_code [ TEXT ] , document_structure_description [ TEXT ] | Functional_Areas : functional_area_code [ TEXT ] primary_key , parent_functional_area_code [ TEXT ] , functional_area_description [ TEXT ] | Images : image_id [ INT ] primary_key , image_alt_text [ TEXT ] , image_name [ TEXT ] , image_url [ TEXT ] | Documents : document_code [ TEXT ] primary_key , document_structure_code [ TEXT ] Documents.document_structure_code = Document_Structures.document_structure_code , document_type_code [ TEXT ] , access_count [ INT ] , document_name [ TEXT ] | Document_Functional_Areas : document_code [ TEXT ] Document_Functional_Areas.document_code = Documents.document_code , functional_area_code [ TEXT ] Document_Functional_Areas.functional_area_code = Functional_Areas.functional_area_code | Document_Sections : section_id [ INT ] primary_key , document_code [ TEXT ] Document_Sections.document_code = Documents.document_code , section_sequence [ INT ] , section_code [ TEXT ] , section_title [ TEXT ] | Document_Sections_Images : section_id [ INT ] primary_key Document_Sections_Images.section_id = Document_Sections.section_id , image_id [ INT ] Document_Sections_Images.image_id = Images.image_id |
-- -- What is the average access count of documents that have the least common structure?
| SELECT avg(access_count) FROM documents GROUP BY document_structure_code ORDER BY count(*) ASC LIMIT 1; |
-- Database schema
| Roles : role_code [ TEXT ] primary_key , role_description [ TEXT ] | Users : user_id [ INT ] primary_key , role_code [ TEXT ] Users.role_code = Roles.role_code , user_name [ TEXT ] , user_login [ TEXT ] , password [ TEXT ] | Document_Structures : document_structure_code [ TEXT ] primary_key , parent_document_structure_code [ TEXT ] , document_structure_description [ TEXT ] | Functional_Areas : functional_area_code [ TEXT ] primary_key , parent_functional_area_code [ TEXT ] , functional_area_description [ TEXT ] | Images : image_id [ INT ] primary_key , image_alt_text [ TEXT ] , image_name [ TEXT ] , image_url [ TEXT ] | Documents : document_code [ TEXT ] primary_key , document_structure_code [ TEXT ] Documents.document_structure_code = Document_Structures.document_structure_code , document_type_code [ TEXT ] , access_count [ INT ] , document_name [ TEXT ] | Document_Functional_Areas : document_code [ TEXT ] Document_Functional_Areas.document_code = Documents.document_code , functional_area_code [ TEXT ] Document_Functional_Areas.functional_area_code = Functional_Areas.functional_area_code | Document_Sections : section_id [ INT ] primary_key , document_code [ TEXT ] Document_Sections.document_code = Documents.document_code , section_sequence [ INT ] , section_code [ TEXT ] , section_title [ TEXT ] | Document_Sections_Images : section_id [ INT ] primary_key Document_Sections_Images.section_id = Document_Sections.section_id , image_id [ INT ] Document_Sections_Images.image_id = Images.image_id |
-- -- List all the image name and URLs in the order of their names.
| SELECT image_name , image_url FROM images ORDER BY image_name; |
-- Database schema
| Roles : role_code [ TEXT ] primary_key , role_description [ TEXT ] | Users : user_id [ INT ] primary_key , role_code [ TEXT ] Users.role_code = Roles.role_code , user_name [ TEXT ] , user_login [ TEXT ] , password [ TEXT ] | Document_Structures : document_structure_code [ TEXT ] primary_key , parent_document_structure_code [ TEXT ] , document_structure_description [ TEXT ] | Functional_Areas : functional_area_code [ TEXT ] primary_key , parent_functional_area_code [ TEXT ] , functional_area_description [ TEXT ] | Images : image_id [ INT ] primary_key , image_alt_text [ TEXT ] , image_name [ TEXT ] , image_url [ TEXT ] | Documents : document_code [ TEXT ] primary_key , document_structure_code [ TEXT ] Documents.document_structure_code = Document_Structures.document_structure_code , document_type_code [ TEXT ] , access_count [ INT ] , document_name [ TEXT ] | Document_Functional_Areas : document_code [ TEXT ] Document_Functional_Areas.document_code = Documents.document_code , functional_area_code [ TEXT ] Document_Functional_Areas.functional_area_code = Functional_Areas.functional_area_code | Document_Sections : section_id [ INT ] primary_key , document_code [ TEXT ] Document_Sections.document_code = Documents.document_code , section_sequence [ INT ] , section_code [ TEXT ] , section_title [ TEXT ] | Document_Sections_Images : section_id [ INT ] primary_key Document_Sections_Images.section_id = Document_Sections.section_id , image_id [ INT ] Document_Sections_Images.image_id = Images.image_id |
-- -- What are the names and urls of images, sorted alphabetically?
| SELECT image_name , image_url FROM images ORDER BY image_name; |
-- Database schema
| Roles : role_code [ TEXT ] primary_key , role_description [ TEXT ] | Users : user_id [ INT ] primary_key , role_code [ TEXT ] Users.role_code = Roles.role_code , user_name [ TEXT ] , user_login [ TEXT ] , password [ TEXT ] | Document_Structures : document_structure_code [ TEXT ] primary_key , parent_document_structure_code [ TEXT ] , document_structure_description [ TEXT ] | Functional_Areas : functional_area_code [ TEXT ] primary_key , parent_functional_area_code [ TEXT ] , functional_area_description [ TEXT ] | Images : image_id [ INT ] primary_key , image_alt_text [ TEXT ] , image_name [ TEXT ] , image_url [ TEXT ] | Documents : document_code [ TEXT ] primary_key , document_structure_code [ TEXT ] Documents.document_structure_code = Document_Structures.document_structure_code , document_type_code [ TEXT ] , access_count [ INT ] , document_name [ TEXT ] | Document_Functional_Areas : document_code [ TEXT ] Document_Functional_Areas.document_code = Documents.document_code , functional_area_code [ TEXT ] Document_Functional_Areas.functional_area_code = Functional_Areas.functional_area_code | Document_Sections : section_id [ INT ] primary_key , document_code [ TEXT ] Document_Sections.document_code = Documents.document_code , section_sequence [ INT ] , section_code [ TEXT ] , section_title [ TEXT ] | Document_Sections_Images : section_id [ INT ] primary_key Document_Sections_Images.section_id = Document_Sections.section_id , image_id [ INT ] Document_Sections_Images.image_id = Images.image_id |
-- -- Find the number of users in each role.
| SELECT count(*) , role_code FROM users GROUP BY role_code; |
-- Database schema
| Roles : role_code [ TEXT ] primary_key , role_description [ TEXT ] | Users : user_id [ INT ] primary_key , role_code [ TEXT ] Users.role_code = Roles.role_code , user_name [ TEXT ] , user_login [ TEXT ] , password [ TEXT ] | Document_Structures : document_structure_code [ TEXT ] primary_key , parent_document_structure_code [ TEXT ] , document_structure_description [ TEXT ] | Functional_Areas : functional_area_code [ TEXT ] primary_key , parent_functional_area_code [ TEXT ] , functional_area_description [ TEXT ] | Images : image_id [ INT ] primary_key , image_alt_text [ TEXT ] , image_name [ TEXT ] , image_url [ TEXT ] | Documents : document_code [ TEXT ] primary_key , document_structure_code [ TEXT ] Documents.document_structure_code = Document_Structures.document_structure_code , document_type_code [ TEXT ] , access_count [ INT ] , document_name [ TEXT ] | Document_Functional_Areas : document_code [ TEXT ] Document_Functional_Areas.document_code = Documents.document_code , functional_area_code [ TEXT ] Document_Functional_Areas.functional_area_code = Functional_Areas.functional_area_code | Document_Sections : section_id [ INT ] primary_key , document_code [ TEXT ] Document_Sections.document_code = Documents.document_code , section_sequence [ INT ] , section_code [ TEXT ] , section_title [ TEXT ] | Document_Sections_Images : section_id [ INT ] primary_key Document_Sections_Images.section_id = Document_Sections.section_id , image_id [ INT ] Document_Sections_Images.image_id = Images.image_id |
-- -- What are the different role codes for users, and how many users have each?
| SELECT count(*) , role_code FROM users GROUP BY role_code; |
-- Database schema
| Roles : role_code [ TEXT ] primary_key , role_description [ TEXT ] | Users : user_id [ INT ] primary_key , role_code [ TEXT ] Users.role_code = Roles.role_code , user_name [ TEXT ] , user_login [ TEXT ] , password [ TEXT ] | Document_Structures : document_structure_code [ TEXT ] primary_key , parent_document_structure_code [ TEXT ] , document_structure_description [ TEXT ] | Functional_Areas : functional_area_code [ TEXT ] primary_key , parent_functional_area_code [ TEXT ] , functional_area_description [ TEXT ] | Images : image_id [ INT ] primary_key , image_alt_text [ TEXT ] , image_name [ TEXT ] , image_url [ TEXT ] | Documents : document_code [ TEXT ] primary_key , document_structure_code [ TEXT ] Documents.document_structure_code = Document_Structures.document_structure_code , document_type_code [ TEXT ] , access_count [ INT ] , document_name [ TEXT ] | Document_Functional_Areas : document_code [ TEXT ] Document_Functional_Areas.document_code = Documents.document_code , functional_area_code [ TEXT ] Document_Functional_Areas.functional_area_code = Functional_Areas.functional_area_code | Document_Sections : section_id [ INT ] primary_key , document_code [ TEXT ] Document_Sections.document_code = Documents.document_code , section_sequence [ INT ] , section_code [ TEXT ] , section_title [ TEXT ] | Document_Sections_Images : section_id [ INT ] primary_key Document_Sections_Images.section_id = Document_Sections.section_id , image_id [ INT ] Document_Sections_Images.image_id = Images.image_id |
-- -- What document types have more than 2 corresponding documents?
| SELECT document_type_code FROM documents GROUP BY document_type_code HAVING count(*) > 2; |
-- Database schema
| Roles : role_code [ TEXT ] primary_key , role_description [ TEXT ] | Users : user_id [ INT ] primary_key , role_code [ TEXT ] Users.role_code = Roles.role_code , user_name [ TEXT ] , user_login [ TEXT ] , password [ TEXT ] | Document_Structures : document_structure_code [ TEXT ] primary_key , parent_document_structure_code [ TEXT ] , document_structure_description [ TEXT ] | Functional_Areas : functional_area_code [ TEXT ] primary_key , parent_functional_area_code [ TEXT ] , functional_area_description [ TEXT ] | Images : image_id [ INT ] primary_key , image_alt_text [ TEXT ] , image_name [ TEXT ] , image_url [ TEXT ] | Documents : document_code [ TEXT ] primary_key , document_structure_code [ TEXT ] Documents.document_structure_code = Document_Structures.document_structure_code , document_type_code [ TEXT ] , access_count [ INT ] , document_name [ TEXT ] | Document_Functional_Areas : document_code [ TEXT ] Document_Functional_Areas.document_code = Documents.document_code , functional_area_code [ TEXT ] Document_Functional_Areas.functional_area_code = Functional_Areas.functional_area_code | Document_Sections : section_id [ INT ] primary_key , document_code [ TEXT ] Document_Sections.document_code = Documents.document_code , section_sequence [ INT ] , section_code [ TEXT ] , section_title [ TEXT ] | Document_Sections_Images : section_id [ INT ] primary_key Document_Sections_Images.section_id = Document_Sections.section_id , image_id [ INT ] Document_Sections_Images.image_id = Images.image_id |
-- -- Give the codes of document types that have more than 2 corresponding documents.
| SELECT document_type_code FROM documents GROUP BY document_type_code HAVING count(*) > 2; |
-- Database schema
| buildings : id [ INT ] primary_key , name [ TEXT ] , City [ TEXT ] , Height [ INT ] , Stories [ INT ] , Status [ TEXT ] | Companies : id [ INT ] primary_key , name [ TEXT ] , Headquarters [ TEXT ] , Industry [ TEXT ] , Sales_billion [ INT ] , Profits_billion [ INT ] , Assets_billion [ INT ] , Market_Value_billion [ TEXT ] | Office_locations : building_id [ INT ] primary_key Office_locations.building_id = buildings.id , company_id [ INT ] Office_locations.company_id = Companies.id , move_in_year [ INT ] |
-- -- How many companies are there?
| SELECT count(*) FROM Companies; |
-- Database schema
| buildings : id [ INT ] primary_key , name [ TEXT ] , City [ TEXT ] , Height [ INT ] , Stories [ INT ] , Status [ TEXT ] | Companies : id [ INT ] primary_key , name [ TEXT ] , Headquarters [ TEXT ] , Industry [ TEXT ] , Sales_billion [ INT ] , Profits_billion [ INT ] , Assets_billion [ INT ] , Market_Value_billion [ TEXT ] | Office_locations : building_id [ INT ] primary_key Office_locations.building_id = buildings.id , company_id [ INT ] Office_locations.company_id = Companies.id , move_in_year [ INT ] |
-- -- Count the number of companies.
| SELECT count(*) FROM Companies; |
-- Database schema
| buildings : id [ INT ] primary_key , name [ TEXT ] , City [ TEXT ] , Height [ INT ] , Stories [ INT ] , Status [ TEXT ] | Companies : id [ INT ] primary_key , name [ TEXT ] , Headquarters [ TEXT ] , Industry [ TEXT ] , Sales_billion [ INT ] , Profits_billion [ INT ] , Assets_billion [ INT ] , Market_Value_billion [ TEXT ] | Office_locations : building_id [ INT ] primary_key Office_locations.building_id = buildings.id , company_id [ INT ] Office_locations.company_id = Companies.id , move_in_year [ INT ] |
-- -- List the names of companies in descending order of market value.
| SELECT name FROM Companies ORDER BY Market_Value_billion DESC; |
-- Database schema
| buildings : id [ INT ] primary_key , name [ TEXT ] , City [ TEXT ] , Height [ INT ] , Stories [ INT ] , Status [ TEXT ] | Companies : id [ INT ] primary_key , name [ TEXT ] , Headquarters [ TEXT ] , Industry [ TEXT ] , Sales_billion [ INT ] , Profits_billion [ INT ] , Assets_billion [ INT ] , Market_Value_billion [ TEXT ] | Office_locations : building_id [ INT ] primary_key Office_locations.building_id = buildings.id , company_id [ INT ] Office_locations.company_id = Companies.id , move_in_year [ INT ] |
-- -- Sort the company names in descending order of the company's market value.
| SELECT name FROM Companies ORDER BY Market_Value_billion DESC; |
-- Database schema
| buildings : id [ INT ] primary_key , name [ TEXT ] , City [ TEXT ] , Height [ INT ] , Stories [ INT ] , Status [ TEXT ] | Companies : id [ INT ] primary_key , name [ TEXT ] , Headquarters [ TEXT ] , Industry [ TEXT ] , Sales_billion [ INT ] , Profits_billion [ INT ] , Assets_billion [ INT ] , Market_Value_billion [ TEXT ] | Office_locations : building_id [ INT ] primary_key Office_locations.building_id = buildings.id , company_id [ INT ] Office_locations.company_id = Companies.id , move_in_year [ INT ] |
-- -- What are the names of companies whose headquarters are not "USA"?
| SELECT name FROM Companies WHERE Headquarters != 'USA'; |
-- Database schema
| buildings : id [ INT ] primary_key , name [ TEXT ] , City [ TEXT ] , Height [ INT ] , Stories [ INT ] , Status [ TEXT ] | Companies : id [ INT ] primary_key , name [ TEXT ] , Headquarters [ TEXT ] , Industry [ TEXT ] , Sales_billion [ INT ] , Profits_billion [ INT ] , Assets_billion [ INT ] , Market_Value_billion [ TEXT ] | Office_locations : building_id [ INT ] primary_key Office_locations.building_id = buildings.id , company_id [ INT ] Office_locations.company_id = Companies.id , move_in_year [ INT ] |
-- -- Find the names of the companies whose headquarters are not located in "USA".
| SELECT name FROM Companies WHERE Headquarters != 'USA'; |
-- Database schema
| buildings : id [ INT ] primary_key , name [ TEXT ] , City [ TEXT ] , Height [ INT ] , Stories [ INT ] , Status [ TEXT ] | Companies : id [ INT ] primary_key , name [ TEXT ] , Headquarters [ TEXT ] , Industry [ TEXT ] , Sales_billion [ INT ] , Profits_billion [ INT ] , Assets_billion [ INT ] , Market_Value_billion [ TEXT ] | Office_locations : building_id [ INT ] primary_key Office_locations.building_id = buildings.id , company_id [ INT ] Office_locations.company_id = Companies.id , move_in_year [ INT ] |
-- -- What are the name and assets of each company, sorted in ascending order of company name?
| SELECT name , Assets_billion FROM Companies ORDER BY name ASC; |
-- Database schema
| buildings : id [ INT ] primary_key , name [ TEXT ] , City [ TEXT ] , Height [ INT ] , Stories [ INT ] , Status [ TEXT ] | Companies : id [ INT ] primary_key , name [ TEXT ] , Headquarters [ TEXT ] , Industry [ TEXT ] , Sales_billion [ INT ] , Profits_billion [ INT ] , Assets_billion [ INT ] , Market_Value_billion [ TEXT ] | Office_locations : building_id [ INT ] primary_key Office_locations.building_id = buildings.id , company_id [ INT ] Office_locations.company_id = Companies.id , move_in_year [ INT ] |
-- -- List the name and assets of each company in ascending order of company name.
| SELECT name , Assets_billion FROM Companies ORDER BY name ASC; |
-- Database schema
| buildings : id [ INT ] primary_key , name [ TEXT ] , City [ TEXT ] , Height [ INT ] , Stories [ INT ] , Status [ TEXT ] | Companies : id [ INT ] primary_key , name [ TEXT ] , Headquarters [ TEXT ] , Industry [ TEXT ] , Sales_billion [ INT ] , Profits_billion [ INT ] , Assets_billion [ INT ] , Market_Value_billion [ TEXT ] | Office_locations : building_id [ INT ] primary_key Office_locations.building_id = buildings.id , company_id [ INT ] Office_locations.company_id = Companies.id , move_in_year [ INT ] |
-- -- What are the average profits of companies?
| SELECT avg(Profits_billion) FROM Companies; |
-- Database schema
| buildings : id [ INT ] primary_key , name [ TEXT ] , City [ TEXT ] , Height [ INT ] , Stories [ INT ] , Status [ TEXT ] | Companies : id [ INT ] primary_key , name [ TEXT ] , Headquarters [ TEXT ] , Industry [ TEXT ] , Sales_billion [ INT ] , Profits_billion [ INT ] , Assets_billion [ INT ] , Market_Value_billion [ TEXT ] | Office_locations : building_id [ INT ] primary_key Office_locations.building_id = buildings.id , company_id [ INT ] Office_locations.company_id = Companies.id , move_in_year [ INT ] |
-- -- Compute the average profits companies make.
| SELECT avg(Profits_billion) FROM Companies; |
-- Database schema
| buildings : id [ INT ] primary_key , name [ TEXT ] , City [ TEXT ] , Height [ INT ] , Stories [ INT ] , Status [ TEXT ] | Companies : id [ INT ] primary_key , name [ TEXT ] , Headquarters [ TEXT ] , Industry [ TEXT ] , Sales_billion [ INT ] , Profits_billion [ INT ] , Assets_billion [ INT ] , Market_Value_billion [ TEXT ] | Office_locations : building_id [ INT ] primary_key Office_locations.building_id = buildings.id , company_id [ INT ] Office_locations.company_id = Companies.id , move_in_year [ INT ] |
-- -- What are the maximum and minimum sales of the companies whose industries are not "Banking".
| SELECT max(Sales_billion) , min(Sales_billion) FROM Companies WHERE Industry != "Banking"; |
-- Database schema
| buildings : id [ INT ] primary_key , name [ TEXT ] , City [ TEXT ] , Height [ INT ] , Stories [ INT ] , Status [ TEXT ] | Companies : id [ INT ] primary_key , name [ TEXT ] , Headquarters [ TEXT ] , Industry [ TEXT ] , Sales_billion [ INT ] , Profits_billion [ INT ] , Assets_billion [ INT ] , Market_Value_billion [ TEXT ] | Office_locations : building_id [ INT ] primary_key Office_locations.building_id = buildings.id , company_id [ INT ] Office_locations.company_id = Companies.id , move_in_year [ INT ] |
-- -- Find the maximum and minimum sales of the companies that are not in the "Banking" industry.
| SELECT max(Sales_billion) , min(Sales_billion) FROM Companies WHERE Industry != "Banking"; |
-- Database schema
| buildings : id [ INT ] primary_key , name [ TEXT ] , City [ TEXT ] , Height [ INT ] , Stories [ INT ] , Status [ TEXT ] | Companies : id [ INT ] primary_key , name [ TEXT ] , Headquarters [ TEXT ] , Industry [ TEXT ] , Sales_billion [ INT ] , Profits_billion [ INT ] , Assets_billion [ INT ] , Market_Value_billion [ TEXT ] | Office_locations : building_id [ INT ] primary_key Office_locations.building_id = buildings.id , company_id [ INT ] Office_locations.company_id = Companies.id , move_in_year [ INT ] |
-- -- How many different industries are the companies in?
| SELECT count(DISTINCT Industry) FROM Companies; |
-- Database schema
| buildings : id [ INT ] primary_key , name [ TEXT ] , City [ TEXT ] , Height [ INT ] , Stories [ INT ] , Status [ TEXT ] | Companies : id [ INT ] primary_key , name [ TEXT ] , Headquarters [ TEXT ] , Industry [ TEXT ] , Sales_billion [ INT ] , Profits_billion [ INT ] , Assets_billion [ INT ] , Market_Value_billion [ TEXT ] | Office_locations : building_id [ INT ] primary_key Office_locations.building_id = buildings.id , company_id [ INT ] Office_locations.company_id = Companies.id , move_in_year [ INT ] |
-- -- Count the number of distinct company industries.
| SELECT count(DISTINCT Industry) FROM Companies; |
-- Database schema
| buildings : id [ INT ] primary_key , name [ TEXT ] , City [ TEXT ] , Height [ INT ] , Stories [ INT ] , Status [ TEXT ] | Companies : id [ INT ] primary_key , name [ TEXT ] , Headquarters [ TEXT ] , Industry [ TEXT ] , Sales_billion [ INT ] , Profits_billion [ INT ] , Assets_billion [ INT ] , Market_Value_billion [ TEXT ] | Office_locations : building_id [ INT ] primary_key Office_locations.building_id = buildings.id , company_id [ INT ] Office_locations.company_id = Companies.id , move_in_year [ INT ] |
-- -- List the names of buildings in descending order of building height.
| SELECT name FROM buildings ORDER BY Height DESC; |
-- Database schema
| buildings : id [ INT ] primary_key , name [ TEXT ] , City [ TEXT ] , Height [ INT ] , Stories [ INT ] , Status [ TEXT ] | Companies : id [ INT ] primary_key , name [ TEXT ] , Headquarters [ TEXT ] , Industry [ TEXT ] , Sales_billion [ INT ] , Profits_billion [ INT ] , Assets_billion [ INT ] , Market_Value_billion [ TEXT ] | Office_locations : building_id [ INT ] primary_key Office_locations.building_id = buildings.id , company_id [ INT ] Office_locations.company_id = Companies.id , move_in_year [ INT ] |
-- -- What are the names of buildings sorted in descending order of building height?
| SELECT name FROM buildings ORDER BY Height DESC; |
-- Database schema
| buildings : id [ INT ] primary_key , name [ TEXT ] , City [ TEXT ] , Height [ INT ] , Stories [ INT ] , Status [ TEXT ] | Companies : id [ INT ] primary_key , name [ TEXT ] , Headquarters [ TEXT ] , Industry [ TEXT ] , Sales_billion [ INT ] , Profits_billion [ INT ] , Assets_billion [ INT ] , Market_Value_billion [ TEXT ] | Office_locations : building_id [ INT ] primary_key Office_locations.building_id = buildings.id , company_id [ INT ] Office_locations.company_id = Companies.id , move_in_year [ INT ] |
-- -- Find the stories of the building with the largest height.
| SELECT Stories FROM buildings ORDER BY Height DESC LIMIT 1; |
-- Database schema
| buildings : id [ INT ] primary_key , name [ TEXT ] , City [ TEXT ] , Height [ INT ] , Stories [ INT ] , Status [ TEXT ] | Companies : id [ INT ] primary_key , name [ TEXT ] , Headquarters [ TEXT ] , Industry [ TEXT ] , Sales_billion [ INT ] , Profits_billion [ INT ] , Assets_billion [ INT ] , Market_Value_billion [ TEXT ] | Office_locations : building_id [ INT ] primary_key Office_locations.building_id = buildings.id , company_id [ INT ] Office_locations.company_id = Companies.id , move_in_year [ INT ] |
-- -- What is the stories of highest building?
| SELECT Stories FROM buildings ORDER BY Height DESC LIMIT 1; |
-- Database schema
| buildings : id [ INT ] primary_key , name [ TEXT ] , City [ TEXT ] , Height [ INT ] , Stories [ INT ] , Status [ TEXT ] | Companies : id [ INT ] primary_key , name [ TEXT ] , Headquarters [ TEXT ] , Industry [ TEXT ] , Sales_billion [ INT ] , Profits_billion [ INT ] , Assets_billion [ INT ] , Market_Value_billion [ TEXT ] | Office_locations : building_id [ INT ] primary_key Office_locations.building_id = buildings.id , company_id [ INT ] Office_locations.company_id = Companies.id , move_in_year [ INT ] |
-- -- List the name of a building along with the name of a company whose office is in the building.
| SELECT T3.name , T2.name FROM Office_locations AS T1 JOIN buildings AS T2 ON T1.building_id = T2.id JOIN Companies AS T3 ON T1.company_id = T3.id; |
-- Database schema
| buildings : id [ INT ] primary_key , name [ TEXT ] , City [ TEXT ] , Height [ INT ] , Stories [ INT ] , Status [ TEXT ] | Companies : id [ INT ] primary_key , name [ TEXT ] , Headquarters [ TEXT ] , Industry [ TEXT ] , Sales_billion [ INT ] , Profits_billion [ INT ] , Assets_billion [ INT ] , Market_Value_billion [ TEXT ] | Office_locations : building_id [ INT ] primary_key Office_locations.building_id = buildings.id , company_id [ INT ] Office_locations.company_id = Companies.id , move_in_year [ INT ] |
-- -- For each company, return the company name and the name of the building its office is located in.
| SELECT T3.name , T2.name FROM Office_locations AS T1 JOIN buildings AS T2 ON T1.building_id = T2.id JOIN Companies AS T3 ON T1.company_id = T3.id; |
-- Database schema
| buildings : id [ INT ] primary_key , name [ TEXT ] , City [ TEXT ] , Height [ INT ] , Stories [ INT ] , Status [ TEXT ] | Companies : id [ INT ] primary_key , name [ TEXT ] , Headquarters [ TEXT ] , Industry [ TEXT ] , Sales_billion [ INT ] , Profits_billion [ INT ] , Assets_billion [ INT ] , Market_Value_billion [ TEXT ] | Office_locations : building_id [ INT ] primary_key Office_locations.building_id = buildings.id , company_id [ INT ] Office_locations.company_id = Companies.id , move_in_year [ INT ] |
-- -- Show the names of the buildings that have more than one company offices.
| SELECT T2.name FROM Office_locations AS T1 JOIN buildings AS T2 ON T1.building_id = T2.id JOIN Companies AS T3 ON T1.company_id = T3.id GROUP BY T1.building_id HAVING COUNT(*) > 1; |
-- Database schema
| buildings : id [ INT ] primary_key , name [ TEXT ] , City [ TEXT ] , Height [ INT ] , Stories [ INT ] , Status [ TEXT ] | Companies : id [ INT ] primary_key , name [ TEXT ] , Headquarters [ TEXT ] , Industry [ TEXT ] , Sales_billion [ INT ] , Profits_billion [ INT ] , Assets_billion [ INT ] , Market_Value_billion [ TEXT ] | Office_locations : building_id [ INT ] primary_key Office_locations.building_id = buildings.id , company_id [ INT ] Office_locations.company_id = Companies.id , move_in_year [ INT ] |
-- -- Which buildings have more than one company offices? Give me the building names.
| SELECT T2.name FROM Office_locations AS T1 JOIN buildings AS T2 ON T1.building_id = T2.id JOIN Companies AS T3 ON T1.company_id = T3.id GROUP BY T1.building_id HAVING COUNT(*) > 1; |
-- Database schema
| buildings : id [ INT ] primary_key , name [ TEXT ] , City [ TEXT ] , Height [ INT ] , Stories [ INT ] , Status [ TEXT ] | Companies : id [ INT ] primary_key , name [ TEXT ] , Headquarters [ TEXT ] , Industry [ TEXT ] , Sales_billion [ INT ] , Profits_billion [ INT ] , Assets_billion [ INT ] , Market_Value_billion [ TEXT ] | Office_locations : building_id [ INT ] primary_key Office_locations.building_id = buildings.id , company_id [ INT ] Office_locations.company_id = Companies.id , move_in_year [ INT ] |
-- -- Show the name of the building that has the most company offices.
| SELECT T2.name FROM Office_locations AS T1 JOIN buildings AS T2 ON T1.building_id = T2.id JOIN Companies AS T3 ON T1.company_id = T3.id GROUP BY T1.building_id ORDER BY COUNT(*) DESC LIMIT 1; |
-- Database schema
| buildings : id [ INT ] primary_key , name [ TEXT ] , City [ TEXT ] , Height [ INT ] , Stories [ INT ] , Status [ TEXT ] | Companies : id [ INT ] primary_key , name [ TEXT ] , Headquarters [ TEXT ] , Industry [ TEXT ] , Sales_billion [ INT ] , Profits_billion [ INT ] , Assets_billion [ INT ] , Market_Value_billion [ TEXT ] | Office_locations : building_id [ INT ] primary_key Office_locations.building_id = buildings.id , company_id [ INT ] Office_locations.company_id = Companies.id , move_in_year [ INT ] |
-- -- Which building has the largest number of company offices? Give me the building name.
| SELECT T2.name FROM Office_locations AS T1 JOIN buildings AS T2 ON T1.building_id = T2.id JOIN Companies AS T3 ON T1.company_id = T3.id GROUP BY T1.building_id ORDER BY COUNT(*) DESC LIMIT 1; |
-- Database schema
| buildings : id [ INT ] primary_key , name [ TEXT ] , City [ TEXT ] , Height [ INT ] , Stories [ INT ] , Status [ TEXT ] | Companies : id [ INT ] primary_key , name [ TEXT ] , Headquarters [ TEXT ] , Industry [ TEXT ] , Sales_billion [ INT ] , Profits_billion [ INT ] , Assets_billion [ INT ] , Market_Value_billion [ TEXT ] | Office_locations : building_id [ INT ] primary_key Office_locations.building_id = buildings.id , company_id [ INT ] Office_locations.company_id = Companies.id , move_in_year [ INT ] |
-- -- Please show the names of the buildings whose status is "on-hold", in ascending order of stories.
| SELECT name FROM buildings WHERE Status = "on-hold" ORDER BY Stories ASC; |
-- Database schema
| buildings : id [ INT ] primary_key , name [ TEXT ] , City [ TEXT ] , Height [ INT ] , Stories [ INT ] , Status [ TEXT ] | Companies : id [ INT ] primary_key , name [ TEXT ] , Headquarters [ TEXT ] , Industry [ TEXT ] , Sales_billion [ INT ] , Profits_billion [ INT ] , Assets_billion [ INT ] , Market_Value_billion [ TEXT ] | Office_locations : building_id [ INT ] primary_key Office_locations.building_id = buildings.id , company_id [ INT ] Office_locations.company_id = Companies.id , move_in_year [ INT ] |
-- -- Find the names of the buildings in "on-hold" status, and sort them in ascending order of building stories.
| SELECT name FROM buildings WHERE Status = "on-hold" ORDER BY Stories ASC; |
-- Database schema
| buildings : id [ INT ] primary_key , name [ TEXT ] , City [ TEXT ] , Height [ INT ] , Stories [ INT ] , Status [ TEXT ] | Companies : id [ INT ] primary_key , name [ TEXT ] , Headquarters [ TEXT ] , Industry [ TEXT ] , Sales_billion [ INT ] , Profits_billion [ INT ] , Assets_billion [ INT ] , Market_Value_billion [ TEXT ] | Office_locations : building_id [ INT ] primary_key Office_locations.building_id = buildings.id , company_id [ INT ] Office_locations.company_id = Companies.id , move_in_year [ INT ] |
-- -- Please show each industry and the corresponding number of companies in that industry.
| SELECT Industry , COUNT(*) FROM Companies GROUP BY Industry; |
-- Database schema
| buildings : id [ INT ] primary_key , name [ TEXT ] , City [ TEXT ] , Height [ INT ] , Stories [ INT ] , Status [ TEXT ] | Companies : id [ INT ] primary_key , name [ TEXT ] , Headquarters [ TEXT ] , Industry [ TEXT ] , Sales_billion [ INT ] , Profits_billion [ INT ] , Assets_billion [ INT ] , Market_Value_billion [ TEXT ] | Office_locations : building_id [ INT ] primary_key Office_locations.building_id = buildings.id , company_id [ INT ] Office_locations.company_id = Companies.id , move_in_year [ INT ] |
-- -- Whah are the name of each industry and the number of companies in that industry?
| SELECT Industry , COUNT(*) FROM Companies GROUP BY Industry; |
-- Database schema
| buildings : id [ INT ] primary_key , name [ TEXT ] , City [ TEXT ] , Height [ INT ] , Stories [ INT ] , Status [ TEXT ] | Companies : id [ INT ] primary_key , name [ TEXT ] , Headquarters [ TEXT ] , Industry [ TEXT ] , Sales_billion [ INT ] , Profits_billion [ INT ] , Assets_billion [ INT ] , Market_Value_billion [ TEXT ] | Office_locations : building_id [ INT ] primary_key Office_locations.building_id = buildings.id , company_id [ INT ] Office_locations.company_id = Companies.id , move_in_year [ INT ] |
-- -- Please show the industries of companies in descending order of the number of companies.
| SELECT Industry FROM Companies GROUP BY Industry ORDER BY COUNT(*) DESC; |
-- Database schema
| buildings : id [ INT ] primary_key , name [ TEXT ] , City [ TEXT ] , Height [ INT ] , Stories [ INT ] , Status [ TEXT ] | Companies : id [ INT ] primary_key , name [ TEXT ] , Headquarters [ TEXT ] , Industry [ TEXT ] , Sales_billion [ INT ] , Profits_billion [ INT ] , Assets_billion [ INT ] , Market_Value_billion [ TEXT ] | Office_locations : building_id [ INT ] primary_key Office_locations.building_id = buildings.id , company_id [ INT ] Office_locations.company_id = Companies.id , move_in_year [ INT ] |
-- -- Sort all the industries in descending order of the count of companies in each industry
| SELECT Industry FROM Companies GROUP BY Industry ORDER BY COUNT(*) DESC; |
-- Database schema
| buildings : id [ INT ] primary_key , name [ TEXT ] , City [ TEXT ] , Height [ INT ] , Stories [ INT ] , Status [ TEXT ] | Companies : id [ INT ] primary_key , name [ TEXT ] , Headquarters [ TEXT ] , Industry [ TEXT ] , Sales_billion [ INT ] , Profits_billion [ INT ] , Assets_billion [ INT ] , Market_Value_billion [ TEXT ] | Office_locations : building_id [ INT ] primary_key Office_locations.building_id = buildings.id , company_id [ INT ] Office_locations.company_id = Companies.id , move_in_year [ INT ] |
-- -- List the industry shared by the most companies.
| SELECT Industry FROM Companies GROUP BY Industry ORDER BY COUNT(*) DESC LIMIT 1; |
-- Database schema
| buildings : id [ INT ] primary_key , name [ TEXT ] , City [ TEXT ] , Height [ INT ] , Stories [ INT ] , Status [ TEXT ] | Companies : id [ INT ] primary_key , name [ TEXT ] , Headquarters [ TEXT ] , Industry [ TEXT ] , Sales_billion [ INT ] , Profits_billion [ INT ] , Assets_billion [ INT ] , Market_Value_billion [ TEXT ] | Office_locations : building_id [ INT ] primary_key Office_locations.building_id = buildings.id , company_id [ INT ] Office_locations.company_id = Companies.id , move_in_year [ INT ] |
-- -- Which industry has the most companies?
| SELECT Industry FROM Companies GROUP BY Industry ORDER BY COUNT(*) DESC LIMIT 1; |
-- Database schema
| buildings : id [ INT ] primary_key , name [ TEXT ] , City [ TEXT ] , Height [ INT ] , Stories [ INT ] , Status [ TEXT ] | Companies : id [ INT ] primary_key , name [ TEXT ] , Headquarters [ TEXT ] , Industry [ TEXT ] , Sales_billion [ INT ] , Profits_billion [ INT ] , Assets_billion [ INT ] , Market_Value_billion [ TEXT ] | Office_locations : building_id [ INT ] primary_key Office_locations.building_id = buildings.id , company_id [ INT ] Office_locations.company_id = Companies.id , move_in_year [ INT ] |
-- -- List the names of buildings that have no company office.
| SELECT name FROM buildings WHERE id NOT IN (SELECT building_id FROM Office_locations); |
-- Database schema
| buildings : id [ INT ] primary_key , name [ TEXT ] , City [ TEXT ] , Height [ INT ] , Stories [ INT ] , Status [ TEXT ] | Companies : id [ INT ] primary_key , name [ TEXT ] , Headquarters [ TEXT ] , Industry [ TEXT ] , Sales_billion [ INT ] , Profits_billion [ INT ] , Assets_billion [ INT ] , Market_Value_billion [ TEXT ] | Office_locations : building_id [ INT ] primary_key Office_locations.building_id = buildings.id , company_id [ INT ] Office_locations.company_id = Companies.id , move_in_year [ INT ] |
-- -- Which buildings do not have any company office? Give me the building names.
| SELECT name FROM buildings WHERE id NOT IN (SELECT building_id FROM Office_locations); |
-- Database schema
| buildings : id [ INT ] primary_key , name [ TEXT ] , City [ TEXT ] , Height [ INT ] , Stories [ INT ] , Status [ TEXT ] | Companies : id [ INT ] primary_key , name [ TEXT ] , Headquarters [ TEXT ] , Industry [ TEXT ] , Sales_billion [ INT ] , Profits_billion [ INT ] , Assets_billion [ INT ] , Market_Value_billion [ TEXT ] | Office_locations : building_id [ INT ] primary_key Office_locations.building_id = buildings.id , company_id [ INT ] Office_locations.company_id = Companies.id , move_in_year [ INT ] |
-- -- Show the industries shared by companies whose headquarters are "USA" and companies whose headquarters are "China".
| SELECT Industry FROM Companies WHERE Headquarters = "USA" INTERSECT SELECT Industry FROM Companies WHERE Headquarters = "China"; |
-- Database schema
| buildings : id [ INT ] primary_key , name [ TEXT ] , City [ TEXT ] , Height [ INT ] , Stories [ INT ] , Status [ TEXT ] | Companies : id [ INT ] primary_key , name [ TEXT ] , Headquarters [ TEXT ] , Industry [ TEXT ] , Sales_billion [ INT ] , Profits_billion [ INT ] , Assets_billion [ INT ] , Market_Value_billion [ TEXT ] | Office_locations : building_id [ INT ] primary_key Office_locations.building_id = buildings.id , company_id [ INT ] Office_locations.company_id = Companies.id , move_in_year [ INT ] |
-- -- Which industries have both companies with headquarter in "USA" and companies with headquarter in "China"?
| SELECT Industry FROM Companies WHERE Headquarters = "USA" INTERSECT SELECT Industry FROM Companies WHERE Headquarters = "China"; |
-- Database schema
| buildings : id [ INT ] primary_key , name [ TEXT ] , City [ TEXT ] , Height [ INT ] , Stories [ INT ] , Status [ TEXT ] | Companies : id [ INT ] primary_key , name [ TEXT ] , Headquarters [ TEXT ] , Industry [ TEXT ] , Sales_billion [ INT ] , Profits_billion [ INT ] , Assets_billion [ INT ] , Market_Value_billion [ TEXT ] | Office_locations : building_id [ INT ] primary_key Office_locations.building_id = buildings.id , company_id [ INT ] Office_locations.company_id = Companies.id , move_in_year [ INT ] |
-- -- Find the number of companies whose industry is "Banking" or "Conglomerate",
| SELECT count(*) FROM Companies WHERE Industry = "Banking" OR Industry = "Conglomerate"; |
-- Database schema
| buildings : id [ INT ] primary_key , name [ TEXT ] , City [ TEXT ] , Height [ INT ] , Stories [ INT ] , Status [ TEXT ] | Companies : id [ INT ] primary_key , name [ TEXT ] , Headquarters [ TEXT ] , Industry [ TEXT ] , Sales_billion [ INT ] , Profits_billion [ INT ] , Assets_billion [ INT ] , Market_Value_billion [ TEXT ] | Office_locations : building_id [ INT ] primary_key Office_locations.building_id = buildings.id , company_id [ INT ] Office_locations.company_id = Companies.id , move_in_year [ INT ] |
-- -- How many companies are in either "Banking" industry or "Conglomerate" industry?
| SELECT count(*) FROM Companies WHERE Industry = "Banking" OR Industry = "Conglomerate"; |
-- Database schema
| buildings : id [ INT ] primary_key , name [ TEXT ] , City [ TEXT ] , Height [ INT ] , Stories [ INT ] , Status [ TEXT ] | Companies : id [ INT ] primary_key , name [ TEXT ] , Headquarters [ TEXT ] , Industry [ TEXT ] , Sales_billion [ INT ] , Profits_billion [ INT ] , Assets_billion [ INT ] , Market_Value_billion [ TEXT ] | Office_locations : building_id [ INT ] primary_key Office_locations.building_id = buildings.id , company_id [ INT ] Office_locations.company_id = Companies.id , move_in_year [ INT ] |
-- -- Show the headquarters shared by more than two companies.
| SELECT Headquarters FROM Companies GROUP BY Headquarters HAVING COUNT(*) > 2; |
-- Database schema
| buildings : id [ INT ] primary_key , name [ TEXT ] , City [ TEXT ] , Height [ INT ] , Stories [ INT ] , Status [ TEXT ] | Companies : id [ INT ] primary_key , name [ TEXT ] , Headquarters [ TEXT ] , Industry [ TEXT ] , Sales_billion [ INT ] , Profits_billion [ INT ] , Assets_billion [ INT ] , Market_Value_billion [ TEXT ] | Office_locations : building_id [ INT ] primary_key Office_locations.building_id = buildings.id , company_id [ INT ] Office_locations.company_id = Companies.id , move_in_year [ INT ] |
-- -- Which headquarter locations are used by more than 2 companies?
| SELECT Headquarters FROM Companies GROUP BY Headquarters HAVING COUNT(*) > 2; |
-- Database schema
| Addresses : Address_ID [ INT ] primary_key , address_details [ TEXT ] | Locations : Location_ID [ INT ] primary_key , Other_Details [ TEXT ] | Products : Product_ID [ INT ] primary_key , Product_Type_Code [ TEXT ] , Product_Name [ TEXT ] , Product_Price [ INT ] | Parties : Party_ID [ INT ] primary_key , Party_Details [ TEXT ] | Assets : Asset_ID [ INT ] primary_key , Other_Details [ TEXT ] | Channels : Channel_ID [ INT ] primary_key , Other_Details [ TEXT ] | Finances : Finance_ID [ INT ] primary_key , Other_Details [ TEXT ] | Events : Event_ID [ INT ] primary_key , Address_ID [ INT ] Events.Address_ID = Addresses.Address_ID , Channel_ID [ INT ] , Event_Type_Code [ TEXT ] , Finance_ID [ INT ] Events.Finance_ID = Finances.Finance_ID , Location_ID [ INT ] Events.Location_ID = Locations.Location_ID | Products_in_Events : Product_in_Event_ID [ INT ] primary_key , Event_ID [ INT ] Products_in_Events.Event_ID = Events.Event_ID , Product_ID [ INT ] Products_in_Events.Product_ID = Products.Product_ID | Parties_in_Events : Party_ID [ INT ] primary_key Parties_in_Events.Party_ID = Parties.Party_ID , Event_ID [ INT ] Parties_in_Events.Event_ID = Events.Event_ID , Role_Code [ TEXT ] | Agreements : Document_ID [ INT ] primary_key , Event_ID [ INT ] Agreements.Event_ID = Events.Event_ID | Assets_in_Events : Asset_ID [ INT ] primary_key , Event_ID [ INT ] Assets_in_Events.Event_ID = Events.Event_ID |
-- -- How many products are there?
| SELECT count(*) FROM Products; |
-- Database schema
| Addresses : Address_ID [ INT ] primary_key , address_details [ TEXT ] | Locations : Location_ID [ INT ] primary_key , Other_Details [ TEXT ] | Products : Product_ID [ INT ] primary_key , Product_Type_Code [ TEXT ] , Product_Name [ TEXT ] , Product_Price [ INT ] | Parties : Party_ID [ INT ] primary_key , Party_Details [ TEXT ] | Assets : Asset_ID [ INT ] primary_key , Other_Details [ TEXT ] | Channels : Channel_ID [ INT ] primary_key , Other_Details [ TEXT ] | Finances : Finance_ID [ INT ] primary_key , Other_Details [ TEXT ] | Events : Event_ID [ INT ] primary_key , Address_ID [ INT ] Events.Address_ID = Addresses.Address_ID , Channel_ID [ INT ] , Event_Type_Code [ TEXT ] , Finance_ID [ INT ] Events.Finance_ID = Finances.Finance_ID , Location_ID [ INT ] Events.Location_ID = Locations.Location_ID | Products_in_Events : Product_in_Event_ID [ INT ] primary_key , Event_ID [ INT ] Products_in_Events.Event_ID = Events.Event_ID , Product_ID [ INT ] Products_in_Events.Product_ID = Products.Product_ID | Parties_in_Events : Party_ID [ INT ] primary_key Parties_in_Events.Party_ID = Parties.Party_ID , Event_ID [ INT ] Parties_in_Events.Event_ID = Events.Event_ID , Role_Code [ TEXT ] | Agreements : Document_ID [ INT ] primary_key , Event_ID [ INT ] Agreements.Event_ID = Events.Event_ID | Assets_in_Events : Asset_ID [ INT ] primary_key , Event_ID [ INT ] Assets_in_Events.Event_ID = Events.Event_ID |
-- -- List the name of products in ascending order of price.
| SELECT Product_Name FROM Products ORDER BY Product_Price ASC; |
-- Database schema
| Addresses : Address_ID [ INT ] primary_key , address_details [ TEXT ] | Locations : Location_ID [ INT ] primary_key , Other_Details [ TEXT ] | Products : Product_ID [ INT ] primary_key , Product_Type_Code [ TEXT ] , Product_Name [ TEXT ] , Product_Price [ INT ] | Parties : Party_ID [ INT ] primary_key , Party_Details [ TEXT ] | Assets : Asset_ID [ INT ] primary_key , Other_Details [ TEXT ] | Channels : Channel_ID [ INT ] primary_key , Other_Details [ TEXT ] | Finances : Finance_ID [ INT ] primary_key , Other_Details [ TEXT ] | Events : Event_ID [ INT ] primary_key , Address_ID [ INT ] Events.Address_ID = Addresses.Address_ID , Channel_ID [ INT ] , Event_Type_Code [ TEXT ] , Finance_ID [ INT ] Events.Finance_ID = Finances.Finance_ID , Location_ID [ INT ] Events.Location_ID = Locations.Location_ID | Products_in_Events : Product_in_Event_ID [ INT ] primary_key , Event_ID [ INT ] Products_in_Events.Event_ID = Events.Event_ID , Product_ID [ INT ] Products_in_Events.Product_ID = Products.Product_ID | Parties_in_Events : Party_ID [ INT ] primary_key Parties_in_Events.Party_ID = Parties.Party_ID , Event_ID [ INT ] Parties_in_Events.Event_ID = Events.Event_ID , Role_Code [ TEXT ] | Agreements : Document_ID [ INT ] primary_key , Event_ID [ INT ] Agreements.Event_ID = Events.Event_ID | Assets_in_Events : Asset_ID [ INT ] primary_key , Event_ID [ INT ] Assets_in_Events.Event_ID = Events.Event_ID |
-- -- What are the names and type codes of products?
| SELECT Product_Name , Product_Type_Code FROM Products; |
-- Database schema
| Addresses : Address_ID [ INT ] primary_key , address_details [ TEXT ] | Locations : Location_ID [ INT ] primary_key , Other_Details [ TEXT ] | Products : Product_ID [ INT ] primary_key , Product_Type_Code [ TEXT ] , Product_Name [ TEXT ] , Product_Price [ INT ] | Parties : Party_ID [ INT ] primary_key , Party_Details [ TEXT ] | Assets : Asset_ID [ INT ] primary_key , Other_Details [ TEXT ] | Channels : Channel_ID [ INT ] primary_key , Other_Details [ TEXT ] | Finances : Finance_ID [ INT ] primary_key , Other_Details [ TEXT ] | Events : Event_ID [ INT ] primary_key , Address_ID [ INT ] Events.Address_ID = Addresses.Address_ID , Channel_ID [ INT ] , Event_Type_Code [ TEXT ] , Finance_ID [ INT ] Events.Finance_ID = Finances.Finance_ID , Location_ID [ INT ] Events.Location_ID = Locations.Location_ID | Products_in_Events : Product_in_Event_ID [ INT ] primary_key , Event_ID [ INT ] Products_in_Events.Event_ID = Events.Event_ID , Product_ID [ INT ] Products_in_Events.Product_ID = Products.Product_ID | Parties_in_Events : Party_ID [ INT ] primary_key Parties_in_Events.Party_ID = Parties.Party_ID , Event_ID [ INT ] Parties_in_Events.Event_ID = Events.Event_ID , Role_Code [ TEXT ] | Agreements : Document_ID [ INT ] primary_key , Event_ID [ INT ] Agreements.Event_ID = Events.Event_ID | Assets_in_Events : Asset_ID [ INT ] primary_key , Event_ID [ INT ] Assets_in_Events.Event_ID = Events.Event_ID |
-- -- Show the prices of the products named "Dining" or "Trading Policy".
| SELECT Product_Price FROM Products WHERE Product_Name = "Dining" OR Product_Name = "Trading Policy"; |
-- Database schema
| Addresses : Address_ID [ INT ] primary_key , address_details [ TEXT ] | Locations : Location_ID [ INT ] primary_key , Other_Details [ TEXT ] | Products : Product_ID [ INT ] primary_key , Product_Type_Code [ TEXT ] , Product_Name [ TEXT ] , Product_Price [ INT ] | Parties : Party_ID [ INT ] primary_key , Party_Details [ TEXT ] | Assets : Asset_ID [ INT ] primary_key , Other_Details [ TEXT ] | Channels : Channel_ID [ INT ] primary_key , Other_Details [ TEXT ] | Finances : Finance_ID [ INT ] primary_key , Other_Details [ TEXT ] | Events : Event_ID [ INT ] primary_key , Address_ID [ INT ] Events.Address_ID = Addresses.Address_ID , Channel_ID [ INT ] , Event_Type_Code [ TEXT ] , Finance_ID [ INT ] Events.Finance_ID = Finances.Finance_ID , Location_ID [ INT ] Events.Location_ID = Locations.Location_ID | Products_in_Events : Product_in_Event_ID [ INT ] primary_key , Event_ID [ INT ] Products_in_Events.Event_ID = Events.Event_ID , Product_ID [ INT ] Products_in_Events.Product_ID = Products.Product_ID | Parties_in_Events : Party_ID [ INT ] primary_key Parties_in_Events.Party_ID = Parties.Party_ID , Event_ID [ INT ] Parties_in_Events.Event_ID = Events.Event_ID , Role_Code [ TEXT ] | Agreements : Document_ID [ INT ] primary_key , Event_ID [ INT ] Agreements.Event_ID = Events.Event_ID | Assets_in_Events : Asset_ID [ INT ] primary_key , Event_ID [ INT ] Assets_in_Events.Event_ID = Events.Event_ID |
-- -- What is the average price for products?
| SELECT avg(Product_Price) FROM Products; |
-- Database schema
| Addresses : Address_ID [ INT ] primary_key , address_details [ TEXT ] | Locations : Location_ID [ INT ] primary_key , Other_Details [ TEXT ] | Products : Product_ID [ INT ] primary_key , Product_Type_Code [ TEXT ] , Product_Name [ TEXT ] , Product_Price [ INT ] | Parties : Party_ID [ INT ] primary_key , Party_Details [ TEXT ] | Assets : Asset_ID [ INT ] primary_key , Other_Details [ TEXT ] | Channels : Channel_ID [ INT ] primary_key , Other_Details [ TEXT ] | Finances : Finance_ID [ INT ] primary_key , Other_Details [ TEXT ] | Events : Event_ID [ INT ] primary_key , Address_ID [ INT ] Events.Address_ID = Addresses.Address_ID , Channel_ID [ INT ] , Event_Type_Code [ TEXT ] , Finance_ID [ INT ] Events.Finance_ID = Finances.Finance_ID , Location_ID [ INT ] Events.Location_ID = Locations.Location_ID | Products_in_Events : Product_in_Event_ID [ INT ] primary_key , Event_ID [ INT ] Products_in_Events.Event_ID = Events.Event_ID , Product_ID [ INT ] Products_in_Events.Product_ID = Products.Product_ID | Parties_in_Events : Party_ID [ INT ] primary_key Parties_in_Events.Party_ID = Parties.Party_ID , Event_ID [ INT ] Parties_in_Events.Event_ID = Events.Event_ID , Role_Code [ TEXT ] | Agreements : Document_ID [ INT ] primary_key , Event_ID [ INT ] Agreements.Event_ID = Events.Event_ID | Assets_in_Events : Asset_ID [ INT ] primary_key , Event_ID [ INT ] Assets_in_Events.Event_ID = Events.Event_ID |
-- -- What is the name of the product with the highest price?
| SELECT Product_Name FROM Products ORDER BY Product_Price DESC LIMIT 1; |
-- Database schema
| Addresses : Address_ID [ INT ] primary_key , address_details [ TEXT ] | Locations : Location_ID [ INT ] primary_key , Other_Details [ TEXT ] | Products : Product_ID [ INT ] primary_key , Product_Type_Code [ TEXT ] , Product_Name [ TEXT ] , Product_Price [ INT ] | Parties : Party_ID [ INT ] primary_key , Party_Details [ TEXT ] | Assets : Asset_ID [ INT ] primary_key , Other_Details [ TEXT ] | Channels : Channel_ID [ INT ] primary_key , Other_Details [ TEXT ] | Finances : Finance_ID [ INT ] primary_key , Other_Details [ TEXT ] | Events : Event_ID [ INT ] primary_key , Address_ID [ INT ] Events.Address_ID = Addresses.Address_ID , Channel_ID [ INT ] , Event_Type_Code [ TEXT ] , Finance_ID [ INT ] Events.Finance_ID = Finances.Finance_ID , Location_ID [ INT ] Events.Location_ID = Locations.Location_ID | Products_in_Events : Product_in_Event_ID [ INT ] primary_key , Event_ID [ INT ] Products_in_Events.Event_ID = Events.Event_ID , Product_ID [ INT ] Products_in_Events.Product_ID = Products.Product_ID | Parties_in_Events : Party_ID [ INT ] primary_key Parties_in_Events.Party_ID = Parties.Party_ID , Event_ID [ INT ] Parties_in_Events.Event_ID = Events.Event_ID , Role_Code [ TEXT ] | Agreements : Document_ID [ INT ] primary_key , Event_ID [ INT ] Agreements.Event_ID = Events.Event_ID | Assets_in_Events : Asset_ID [ INT ] primary_key , Event_ID [ INT ] Assets_in_Events.Event_ID = Events.Event_ID |
-- -- Show different type codes of products and the number of products with each type code.
| SELECT Product_Type_Code , COUNT(*) FROM Products GROUP BY Product_Type_Code; |
-- Database schema
| Addresses : Address_ID [ INT ] primary_key , address_details [ TEXT ] | Locations : Location_ID [ INT ] primary_key , Other_Details [ TEXT ] | Products : Product_ID [ INT ] primary_key , Product_Type_Code [ TEXT ] , Product_Name [ TEXT ] , Product_Price [ INT ] | Parties : Party_ID [ INT ] primary_key , Party_Details [ TEXT ] | Assets : Asset_ID [ INT ] primary_key , Other_Details [ TEXT ] | Channels : Channel_ID [ INT ] primary_key , Other_Details [ TEXT ] | Finances : Finance_ID [ INT ] primary_key , Other_Details [ TEXT ] | Events : Event_ID [ INT ] primary_key , Address_ID [ INT ] Events.Address_ID = Addresses.Address_ID , Channel_ID [ INT ] , Event_Type_Code [ TEXT ] , Finance_ID [ INT ] Events.Finance_ID = Finances.Finance_ID , Location_ID [ INT ] Events.Location_ID = Locations.Location_ID | Products_in_Events : Product_in_Event_ID [ INT ] primary_key , Event_ID [ INT ] Products_in_Events.Event_ID = Events.Event_ID , Product_ID [ INT ] Products_in_Events.Product_ID = Products.Product_ID | Parties_in_Events : Party_ID [ INT ] primary_key Parties_in_Events.Party_ID = Parties.Party_ID , Event_ID [ INT ] Parties_in_Events.Event_ID = Events.Event_ID , Role_Code [ TEXT ] | Agreements : Document_ID [ INT ] primary_key , Event_ID [ INT ] Agreements.Event_ID = Events.Event_ID | Assets_in_Events : Asset_ID [ INT ] primary_key , Event_ID [ INT ] Assets_in_Events.Event_ID = Events.Event_ID |
-- -- Show the most common type code across products.
| SELECT Product_Type_Code FROM Products GROUP BY Product_Type_Code ORDER BY COUNT(*) DESC LIMIT 1; |
-- Database schema
| Addresses : Address_ID [ INT ] primary_key , address_details [ TEXT ] | Locations : Location_ID [ INT ] primary_key , Other_Details [ TEXT ] | Products : Product_ID [ INT ] primary_key , Product_Type_Code [ TEXT ] , Product_Name [ TEXT ] , Product_Price [ INT ] | Parties : Party_ID [ INT ] primary_key , Party_Details [ TEXT ] | Assets : Asset_ID [ INT ] primary_key , Other_Details [ TEXT ] | Channels : Channel_ID [ INT ] primary_key , Other_Details [ TEXT ] | Finances : Finance_ID [ INT ] primary_key , Other_Details [ TEXT ] | Events : Event_ID [ INT ] primary_key , Address_ID [ INT ] Events.Address_ID = Addresses.Address_ID , Channel_ID [ INT ] , Event_Type_Code [ TEXT ] , Finance_ID [ INT ] Events.Finance_ID = Finances.Finance_ID , Location_ID [ INT ] Events.Location_ID = Locations.Location_ID | Products_in_Events : Product_in_Event_ID [ INT ] primary_key , Event_ID [ INT ] Products_in_Events.Event_ID = Events.Event_ID , Product_ID [ INT ] Products_in_Events.Product_ID = Products.Product_ID | Parties_in_Events : Party_ID [ INT ] primary_key Parties_in_Events.Party_ID = Parties.Party_ID , Event_ID [ INT ] Parties_in_Events.Event_ID = Events.Event_ID , Role_Code [ TEXT ] | Agreements : Document_ID [ INT ] primary_key , Event_ID [ INT ] Agreements.Event_ID = Events.Event_ID | Assets_in_Events : Asset_ID [ INT ] primary_key , Event_ID [ INT ] Assets_in_Events.Event_ID = Events.Event_ID |
-- -- Show the product type codes that have at least two products.
| SELECT Product_Type_Code FROM Products GROUP BY Product_Type_Code HAVING COUNT(*) >= 2; |
-- Database schema
| Addresses : Address_ID [ INT ] primary_key , address_details [ TEXT ] | Locations : Location_ID [ INT ] primary_key , Other_Details [ TEXT ] | Products : Product_ID [ INT ] primary_key , Product_Type_Code [ TEXT ] , Product_Name [ TEXT ] , Product_Price [ INT ] | Parties : Party_ID [ INT ] primary_key , Party_Details [ TEXT ] | Assets : Asset_ID [ INT ] primary_key , Other_Details [ TEXT ] | Channels : Channel_ID [ INT ] primary_key , Other_Details [ TEXT ] | Finances : Finance_ID [ INT ] primary_key , Other_Details [ TEXT ] | Events : Event_ID [ INT ] primary_key , Address_ID [ INT ] Events.Address_ID = Addresses.Address_ID , Channel_ID [ INT ] , Event_Type_Code [ TEXT ] , Finance_ID [ INT ] Events.Finance_ID = Finances.Finance_ID , Location_ID [ INT ] Events.Location_ID = Locations.Location_ID | Products_in_Events : Product_in_Event_ID [ INT ] primary_key , Event_ID [ INT ] Products_in_Events.Event_ID = Events.Event_ID , Product_ID [ INT ] Products_in_Events.Product_ID = Products.Product_ID | Parties_in_Events : Party_ID [ INT ] primary_key Parties_in_Events.Party_ID = Parties.Party_ID , Event_ID [ INT ] Parties_in_Events.Event_ID = Events.Event_ID , Role_Code [ TEXT ] | Agreements : Document_ID [ INT ] primary_key , Event_ID [ INT ] Agreements.Event_ID = Events.Event_ID | Assets_in_Events : Asset_ID [ INT ] primary_key , Event_ID [ INT ] Assets_in_Events.Event_ID = Events.Event_ID |
-- -- Show the product type codes that have both products with price higher than 4500 and products with price lower than 3000.
| SELECT Product_Type_Code FROM Products WHERE Product_Price > 4500 INTERSECT SELECT Product_Type_Code FROM Products WHERE Product_Price < 3000; |
-- Database schema
| Addresses : Address_ID [ INT ] primary_key , address_details [ TEXT ] | Locations : Location_ID [ INT ] primary_key , Other_Details [ TEXT ] | Products : Product_ID [ INT ] primary_key , Product_Type_Code [ TEXT ] , Product_Name [ TEXT ] , Product_Price [ INT ] | Parties : Party_ID [ INT ] primary_key , Party_Details [ TEXT ] | Assets : Asset_ID [ INT ] primary_key , Other_Details [ TEXT ] | Channels : Channel_ID [ INT ] primary_key , Other_Details [ TEXT ] | Finances : Finance_ID [ INT ] primary_key , Other_Details [ TEXT ] | Events : Event_ID [ INT ] primary_key , Address_ID [ INT ] Events.Address_ID = Addresses.Address_ID , Channel_ID [ INT ] , Event_Type_Code [ TEXT ] , Finance_ID [ INT ] Events.Finance_ID = Finances.Finance_ID , Location_ID [ INT ] Events.Location_ID = Locations.Location_ID | Products_in_Events : Product_in_Event_ID [ INT ] primary_key , Event_ID [ INT ] Products_in_Events.Event_ID = Events.Event_ID , Product_ID [ INT ] Products_in_Events.Product_ID = Products.Product_ID | Parties_in_Events : Party_ID [ INT ] primary_key Parties_in_Events.Party_ID = Parties.Party_ID , Event_ID [ INT ] Parties_in_Events.Event_ID = Events.Event_ID , Role_Code [ TEXT ] | Agreements : Document_ID [ INT ] primary_key , Event_ID [ INT ] Agreements.Event_ID = Events.Event_ID | Assets_in_Events : Asset_ID [ INT ] primary_key , Event_ID [ INT ] Assets_in_Events.Event_ID = Events.Event_ID |
-- -- Show the names of products and the number of events they are in.
| SELECT T1.Product_Name , COUNT(*) FROM Products AS T1 JOIN Products_in_Events AS T2 ON T1.Product_ID = T2.Product_ID GROUP BY T1.Product_Name; |
-- Database schema
| Addresses : Address_ID [ INT ] primary_key , address_details [ TEXT ] | Locations : Location_ID [ INT ] primary_key , Other_Details [ TEXT ] | Products : Product_ID [ INT ] primary_key , Product_Type_Code [ TEXT ] , Product_Name [ TEXT ] , Product_Price [ INT ] | Parties : Party_ID [ INT ] primary_key , Party_Details [ TEXT ] | Assets : Asset_ID [ INT ] primary_key , Other_Details [ TEXT ] | Channels : Channel_ID [ INT ] primary_key , Other_Details [ TEXT ] | Finances : Finance_ID [ INT ] primary_key , Other_Details [ TEXT ] | Events : Event_ID [ INT ] primary_key , Address_ID [ INT ] Events.Address_ID = Addresses.Address_ID , Channel_ID [ INT ] , Event_Type_Code [ TEXT ] , Finance_ID [ INT ] Events.Finance_ID = Finances.Finance_ID , Location_ID [ INT ] Events.Location_ID = Locations.Location_ID | Products_in_Events : Product_in_Event_ID [ INT ] primary_key , Event_ID [ INT ] Products_in_Events.Event_ID = Events.Event_ID , Product_ID [ INT ] Products_in_Events.Product_ID = Products.Product_ID | Parties_in_Events : Party_ID [ INT ] primary_key Parties_in_Events.Party_ID = Parties.Party_ID , Event_ID [ INT ] Parties_in_Events.Event_ID = Events.Event_ID , Role_Code [ TEXT ] | Agreements : Document_ID [ INT ] primary_key , Event_ID [ INT ] Agreements.Event_ID = Events.Event_ID | Assets_in_Events : Asset_ID [ INT ] primary_key , Event_ID [ INT ] Assets_in_Events.Event_ID = Events.Event_ID |
-- -- Show the names of products and the number of events they are in, sorted by the number of events in descending order.
| SELECT T1.Product_Name , COUNT(*) FROM Products AS T1 JOIN Products_in_Events AS T2 ON T1.Product_ID = T2.Product_ID GROUP BY T1.Product_Name ORDER BY COUNT(*) DESC; |
-- Database schema
| Addresses : Address_ID [ INT ] primary_key , address_details [ TEXT ] | Locations : Location_ID [ INT ] primary_key , Other_Details [ TEXT ] | Products : Product_ID [ INT ] primary_key , Product_Type_Code [ TEXT ] , Product_Name [ TEXT ] , Product_Price [ INT ] | Parties : Party_ID [ INT ] primary_key , Party_Details [ TEXT ] | Assets : Asset_ID [ INT ] primary_key , Other_Details [ TEXT ] | Channels : Channel_ID [ INT ] primary_key , Other_Details [ TEXT ] | Finances : Finance_ID [ INT ] primary_key , Other_Details [ TEXT ] | Events : Event_ID [ INT ] primary_key , Address_ID [ INT ] Events.Address_ID = Addresses.Address_ID , Channel_ID [ INT ] , Event_Type_Code [ TEXT ] , Finance_ID [ INT ] Events.Finance_ID = Finances.Finance_ID , Location_ID [ INT ] Events.Location_ID = Locations.Location_ID | Products_in_Events : Product_in_Event_ID [ INT ] primary_key , Event_ID [ INT ] Products_in_Events.Event_ID = Events.Event_ID , Product_ID [ INT ] Products_in_Events.Product_ID = Products.Product_ID | Parties_in_Events : Party_ID [ INT ] primary_key Parties_in_Events.Party_ID = Parties.Party_ID , Event_ID [ INT ] Parties_in_Events.Event_ID = Events.Event_ID , Role_Code [ TEXT ] | Agreements : Document_ID [ INT ] primary_key , Event_ID [ INT ] Agreements.Event_ID = Events.Event_ID | Assets_in_Events : Asset_ID [ INT ] primary_key , Event_ID [ INT ] Assets_in_Events.Event_ID = Events.Event_ID |
-- -- Show the names of products that are in at least two events.
| SELECT T1.Product_Name FROM Products AS T1 JOIN Products_in_Events AS T2 ON T1.Product_ID = T2.Product_ID GROUP BY T1.Product_Name HAVING COUNT(*) >= 2; |
-- Database schema
| Addresses : Address_ID [ INT ] primary_key , address_details [ TEXT ] | Locations : Location_ID [ INT ] primary_key , Other_Details [ TEXT ] | Products : Product_ID [ INT ] primary_key , Product_Type_Code [ TEXT ] , Product_Name [ TEXT ] , Product_Price [ INT ] | Parties : Party_ID [ INT ] primary_key , Party_Details [ TEXT ] | Assets : Asset_ID [ INT ] primary_key , Other_Details [ TEXT ] | Channels : Channel_ID [ INT ] primary_key , Other_Details [ TEXT ] | Finances : Finance_ID [ INT ] primary_key , Other_Details [ TEXT ] | Events : Event_ID [ INT ] primary_key , Address_ID [ INT ] Events.Address_ID = Addresses.Address_ID , Channel_ID [ INT ] , Event_Type_Code [ TEXT ] , Finance_ID [ INT ] Events.Finance_ID = Finances.Finance_ID , Location_ID [ INT ] Events.Location_ID = Locations.Location_ID | Products_in_Events : Product_in_Event_ID [ INT ] primary_key , Event_ID [ INT ] Products_in_Events.Event_ID = Events.Event_ID , Product_ID [ INT ] Products_in_Events.Product_ID = Products.Product_ID | Parties_in_Events : Party_ID [ INT ] primary_key Parties_in_Events.Party_ID = Parties.Party_ID , Event_ID [ INT ] Parties_in_Events.Event_ID = Events.Event_ID , Role_Code [ TEXT ] | Agreements : Document_ID [ INT ] primary_key , Event_ID [ INT ] Agreements.Event_ID = Events.Event_ID | Assets_in_Events : Asset_ID [ INT ] primary_key , Event_ID [ INT ] Assets_in_Events.Event_ID = Events.Event_ID |
-- -- Show the names of products that are in at least two events in ascending alphabetical order of product name.
| SELECT T1.Product_Name FROM Products AS T1 JOIN Products_in_Events AS T2 ON T1.Product_ID = T2.Product_ID GROUP BY T1.Product_Name HAVING COUNT(*) >= 2 ORDER BY T1.Product_Name; |
-- Database schema
| Addresses : Address_ID [ INT ] primary_key , address_details [ TEXT ] | Locations : Location_ID [ INT ] primary_key , Other_Details [ TEXT ] | Products : Product_ID [ INT ] primary_key , Product_Type_Code [ TEXT ] , Product_Name [ TEXT ] , Product_Price [ INT ] | Parties : Party_ID [ INT ] primary_key , Party_Details [ TEXT ] | Assets : Asset_ID [ INT ] primary_key , Other_Details [ TEXT ] | Channels : Channel_ID [ INT ] primary_key , Other_Details [ TEXT ] | Finances : Finance_ID [ INT ] primary_key , Other_Details [ TEXT ] | Events : Event_ID [ INT ] primary_key , Address_ID [ INT ] Events.Address_ID = Addresses.Address_ID , Channel_ID [ INT ] , Event_Type_Code [ TEXT ] , Finance_ID [ INT ] Events.Finance_ID = Finances.Finance_ID , Location_ID [ INT ] Events.Location_ID = Locations.Location_ID | Products_in_Events : Product_in_Event_ID [ INT ] primary_key , Event_ID [ INT ] Products_in_Events.Event_ID = Events.Event_ID , Product_ID [ INT ] Products_in_Events.Product_ID = Products.Product_ID | Parties_in_Events : Party_ID [ INT ] primary_key Parties_in_Events.Party_ID = Parties.Party_ID , Event_ID [ INT ] Parties_in_Events.Event_ID = Events.Event_ID , Role_Code [ TEXT ] | Agreements : Document_ID [ INT ] primary_key , Event_ID [ INT ] Agreements.Event_ID = Events.Event_ID | Assets_in_Events : Asset_ID [ INT ] primary_key , Event_ID [ INT ] Assets_in_Events.Event_ID = Events.Event_ID |
-- -- List the names of products that are not in any event.
| SELECT Product_Name FROM Products WHERE Product_ID NOT IN (SELECT Product_ID FROM Products_in_Events); |
-- Database schema
| festival_detail : Festival_ID [ INT ] primary_key , Festival_Name [ TEXT ] , Chair_Name [ TEXT ] , Location [ TEXT ] , Year [ INT ] , Num_of_Audience [ INT ] | artwork : Artwork_ID [ INT ] primary_key , Type [ TEXT ] , Name [ TEXT ] | nomination : Artwork_ID [ INT ] primary_key nomination.Artwork_ID = artwork.Artwork_ID , Festival_ID [ INT ] nomination.Festival_ID = festival_detail.Festival_ID , Result [ TEXT ] |
-- -- How many artworks are there?
| SELECT count(*) FROM artwork; |
-- Database schema
| festival_detail : Festival_ID [ INT ] primary_key , Festival_Name [ TEXT ] , Chair_Name [ TEXT ] , Location [ TEXT ] , Year [ INT ] , Num_of_Audience [ INT ] | artwork : Artwork_ID [ INT ] primary_key , Type [ TEXT ] , Name [ TEXT ] | nomination : Artwork_ID [ INT ] primary_key nomination.Artwork_ID = artwork.Artwork_ID , Festival_ID [ INT ] nomination.Festival_ID = festival_detail.Festival_ID , Result [ TEXT ] |
-- -- List the name of artworks in ascending alphabetical order.
| SELECT Name FROM artwork ORDER BY Name ASC; |
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