answer stringlengths 18 552 | context stringlengths 30 393 | question stringlengths 5 73 |
|---|---|---|
SELECT document_name , access_count FROM documents ORDER BY document_name | CREATE TABLE documents (access_count VARCHAR, document_name VARCHAR) | 按照文档名称的字母顺序排序的所有文档的名称和访问次数是什么？ |
SELECT document_name , access_count FROM documents ORDER BY access_count DESC LIMIT 1 | CREATE TABLE documents (access_count VARCHAR, document_name VARCHAR) | 找出被访问次数最多的文档的名称以及其被访问的次数是多少？ |
SELECT document_name , access_count FROM documents ORDER BY access_count DESC LIMIT 1 | CREATE TABLE documents (access_count VARCHAR, document_name VARCHAR) | 被访问次数最多的文档的名称以及被访问次数是多少？ |
SELECT document_type_code FROM documents GROUP BY document_type_code HAVING count(*) > 4 | CREATE TABLE documents (document_type_code VARCHAR) | 查找具有超过4个文档的文档类型。 |
SELECT document_type_code FROM documents GROUP BY document_type_code HAVING count(*) > 4 | CREATE TABLE documents (document_type_code VARCHAR) | 超过4个文档的文档类型的编码是什么？ |
SELECT sum(access_count) FROM documents GROUP BY document_type_code ORDER BY count(*) DESC LIMIT 1 | CREATE TABLE documents (access_count INTEGER, document_type_code VARCHAR) | 找出最流行的文档类型中所有文档的总访问计数。 |
SELECT sum(access_count) FROM documents GROUP BY document_type_code ORDER BY count(*) DESC LIMIT 1 | CREATE TABLE documents (access_count INTEGER, document_type_code VARCHAR) | 最常见文档类型的文档的总访问次数是多少？ |
SELECT avg(access_count) FROM documents | CREATE TABLE documents (access_count INTEGER) | 文件的平均访问次数是多少？ |
SELECT avg(access_count) FROM documents | CREATE TABLE documents (access_count INTEGER) | 查找所有文件的平均访问次数。 |
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 | CREATE TABLE documents (document_structure_code VARCHAR), CREATE TABLE document_structures (document_structure_code VARCHAR, document_structure_description VARCHAR) | 访问次数最少的文档的结构是什么？ |
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 | CREATE TABLE documents (document_structure_code VARCHAR), CREATE TABLE document_structures (document_structure_code VARCHAR, document_structure_description VARCHAR) | 返回被访问次数最少的文档的结构描述。 |
SELECT document_type_code FROM documents WHERE document_name = "张伟的简历" | CREATE TABLE documents (document_name VARCHAR, document_type_code VARCHAR) | 名为“张伟的简历”的文档的文件类型是什么？ |
SELECT document_type_code FROM documents WHERE document_name = "张伟的简历" | CREATE TABLE documents (document_name VARCHAR, document_type_code VARCHAR) | 返回名为“张伟的简历”的文档的类型代码。 |
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 | CREATE TABLE documents (document_structure_code VARCHAR, document_name VARCHAR, document_type_code VARCHAR) | 查找既属于最流行的三种类型之一又具有最流行的三种结构之一的文档列表。 |
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 | CREATE TABLE documents (document_structure_code VARCHAR, document_name VARCHAR, document_type_code VARCHAR) | 具有三种最常见类型之一和三种最常见结构之一的文档的名称是什么？ |
SELECT document_type_code FROM documents GROUP BY document_type_code HAVING sum(access_count) > 10000 | CREATE TABLE documents (access_count INTEGER, document_type_code VARCHAR) | 什么文档类型拥有超过10000的总访问量。 |
SELECT document_type_code FROM documents GROUP BY document_type_code HAVING sum(access_count) > 10000 | CREATE TABLE documents (access_count INTEGER, document_type_code VARCHAR) | 返回总访问计数不超过10000的文档类型的代码。 |
SELECT t2.section_title FROM documents AS t1 JOIN document_sections AS t2 ON t1.document_code = t2.document_code WHERE t1.document_name = "张伟的简历" | CREATE TABLE documents (document_name VARCHAR, document_code VARCHAR), CREATE TABLE document_sections (document_code VARCHAR, section_title VARCHAR) | 名为“张伟的简历”的文件的所有章节标题是什么？ |
SELECT t2.section_title FROM documents AS t1 JOIN document_sections AS t2 ON t1.document_code = t2.document_code WHERE t1.document_name = "张伟的简历" | CREATE TABLE documents (document_name VARCHAR, document_code VARCHAR), CREATE TABLE document_sections (document_code VARCHAR, section_title VARCHAR) | 给出名字是“张伟的简历”的文档的章节标题。 |
SELECT document_name FROM documents WHERE document_code NOT IN (SELECT document_code FROM document_sections) | CREATE TABLE documents (document_code VARCHAR, document_name VARCHAR), CREATE TABLE document_sections (document_code VARCHAR, document_name VARCHAR) | 查找所有文件中无任何章节的文件的名称。 |
SELECT document_name FROM documents WHERE document_code NOT IN (SELECT document_code FROM document_sections) | CREATE TABLE documents (document_code VARCHAR, document_name VARCHAR), CREATE TABLE document_sections (document_code VARCHAR, document_name VARCHAR) | 没有任何章节的文件的名称是什么？ |
SELECT user_name , password FROM users GROUP BY role_code ORDER BY count(*) DESC LIMIT 1 | CREATE TABLE users (password VARCHAR, user_name VARCHAR, role_code VARCHAR) | 列出最受欢迎角色的用户所有的用户名和密码。 |
SELECT user_name , password FROM users GROUP BY role_code ORDER BY count(*) DESC LIMIT 1 | CREATE TABLE users (password VARCHAR, user_name VARCHAR, role_code VARCHAR) | 用户最常用的角色的用户名和密码是什么？ |
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 = "致谢" | CREATE TABLE documents (access_count INTEGER, document_code VARCHAR), CREATE TABLE document_functional_areas (document_code VARCHAR, functional_area_code VARCHAR), CREATE TABLE functional_areas (functional_area_code VARCHAR, functional_area_description VARCHAR) | 查找具有功能区域“致谢”的文档的平均访问次数。 |
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 = "致谢" | CREATE TABLE documents (access_count INTEGER, document_code VARCHAR), CREATE TABLE document_functional_areas (document_code VARCHAR, functional_area_code VARCHAR), CREATE TABLE functional_areas (functional_area_code VARCHAR, functional_area_description VARCHAR) | 功能区域描述为“致谢”的文档的平均访问次数是多少？ |
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 | CREATE TABLE documents (document_code VARCHAR, document_name VARCHAR), CREATE TABLE document_sections (document_code VARCHAR, section_id VARCHAR), CREATE TABLE document_sections_images (section_id VARCHAR) | 查找没有任何图像的文档的名称。 |
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 | CREATE TABLE documents (document_code VARCHAR, document_name VARCHAR), CREATE TABLE document_sections (document_code VARCHAR, section_id VARCHAR), CREATE TABLE document_sections_images (section_id VARCHAR) | 没有任何图像的文档的名称是什么？ |
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 | CREATE TABLE documents (document_code VARCHAR, document_name VARCHAR), CREATE TABLE document_sections (document_code VARCHAR) | 拥有最多章节数的文档的名字是什么？ |
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 | CREATE TABLE documents (document_code VARCHAR, document_name VARCHAR), CREATE TABLE document_sections (document_code VARCHAR) | 返回拥有最多章节数的文档的名字。 |
SELECT document_name FROM documents WHERE document_name LIKE "简历" | CREATE TABLE documents (document_name VARCHAR) | 列出包含“CV”的所有文档的名称。 |
SELECT document_name FROM documents WHERE document_name LIKE "简历" | CREATE TABLE documents (document_name VARCHAR) | 包含子字符串“CV”的文档的名称是什么？ |
SELECT count(*) FROM users WHERE user_login = 1 | CREATE TABLE users (user_login VARCHAR) | 有多少用户曾登录过？ |
SELECT count(*) FROM users WHERE user_login = 1 | CREATE TABLE users (user_login VARCHAR) | 计算登录的用户数。 |
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) | CREATE TABLE ROLES (user_login VARCHAR, role_description VARCHAR, role_code VARCHAR), CREATE TABLE users (user_login VARCHAR, role_description VARCHAR, role_code VARCHAR) | 查找已登录的用户中最流行的角色的描述。 |
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) | CREATE TABLE ROLES (user_login VARCHAR, role_description VARCHAR, role_code VARCHAR), CREATE TABLE users (user_login VARCHAR, role_description VARCHAR, role_code VARCHAR) | 在已经登录的用户中，最流行的角色描述是什么？ |
SELECT avg(access_count) FROM documents GROUP BY document_structure_code ORDER BY count(*) ASC LIMIT 1 | CREATE TABLE documents (access_count INTEGER, document_structure_code VARCHAR) | 查找具有最不流行结构的文档的平均访问计数。 |
SELECT avg(access_count) FROM documents GROUP BY document_structure_code ORDER BY count(*) ASC LIMIT 1 | CREATE TABLE documents (access_count INTEGER, document_structure_code VARCHAR) | 具有最不常用结构的文档的平均访问计数是多少？ |
SELECT image_name , image_url FROM images ORDER BY image_name | CREATE TABLE images (image_url VARCHAR, image_name VARCHAR) | 按名称的顺序列出所有的图像名称和URL。 |
SELECT image_name , image_url FROM images ORDER BY image_name | CREATE TABLE images (image_url VARCHAR, image_name VARCHAR) | 按字母顺序排列的图像名称和URL是什么？ |
SELECT count(*) , role_code FROM users GROUP BY role_code | CREATE TABLE users (role_code VARCHAR) | 查找每个角色中的用户数。 |
SELECT count(*) , role_code FROM users GROUP BY role_code | CREATE TABLE users (role_code VARCHAR) | 用户的角色代码有哪些，每个用户有多少个？ |
SELECT document_type_code FROM documents GROUP BY document_type_code HAVING count(*) > 2 | CREATE TABLE documents (document_type_code VARCHAR) | 哪些文档类型有超过2个对应的文档？ |
SELECT document_type_code FROM documents GROUP BY document_type_code HAVING count(*) > 2 | CREATE TABLE documents (document_type_code VARCHAR) | 给出具有超过2个对应文档的文档类型的代码。 |
SELECT count(*) FROM Companies | CREATE TABLE Companies (Id VARCHAR) | 有多少家公司？ |
SELECT count(*) FROM Companies | CREATE TABLE Companies (Id VARCHAR) | 统计公司的数量。 |
SELECT name FROM Companies ORDER BY Market_Value_billion DESC | CREATE TABLE Companies (Market_Value_billion VARCHAR, name VARCHAR) | 以市场价值递减的顺序列出公司名称。 |
SELECT name FROM Companies ORDER BY Market_Value_billion DESC | CREATE TABLE Companies (Market_Value_billion VARCHAR, name VARCHAR) | 按公司市场价值的降序对公司名称进行排序。 |
SELECT name FROM Companies WHERE Headquarters != '中国' | CREATE TABLE Companies (name VARCHAR, Headquarters VARCHAR) | 总部不是“中国”的公司名称是什么？ |
SELECT name FROM Companies WHERE Headquarters != '中国' | CREATE TABLE Companies (name VARCHAR, Headquarters VARCHAR) | 找出总部不在“中国”的公司名称。 |
SELECT name , Assets_billion FROM Companies ORDER BY name ASC | CREATE TABLE Companies (name VARCHAR, Assets_billion VARCHAR) | 按公司名称升序排列的每个公司的名称和资产是什么？ |
SELECT name , Assets_billion FROM Companies ORDER BY name ASC | CREATE TABLE Companies (name VARCHAR, Assets_billion VARCHAR) | 按公司名称的升序排列各公司的名称和资产。 |
SELECT avg(Profits_billion) FROM Companies | CREATE TABLE Companies (Profits_billion INTEGER) | 公司的平均利润是多少？ |
SELECT avg(Profits_billion) FROM Companies | CREATE TABLE Companies (Profits_billion INTEGER) | 计算公司的平均利润。 |
SELECT max(Sales_billion) , min(Sales_billion) FROM Companies WHERE Industry != "银行业" | CREATE TABLE Companies (Industry VARCHAR, Sales_billion INTEGER) | 那些行业不是“银行业”的公司的最高销售额和最低销售额是多少？ |
SELECT max(Sales_billion) , min(Sales_billion) FROM Companies WHERE Industry != "银行业" | CREATE TABLE Companies (Industry VARCHAR, Sales_billion INTEGER) | 找出不在“银行业”行业的公司的最大和最小销售额。 |
SELECT count(DISTINCT Industry) FROM Companies | CREATE TABLE Companies (Industry VARCHAR) | 公司有多少不同的行业？ |
SELECT count(DISTINCT Industry) FROM Companies | CREATE TABLE Companies (Industry VARCHAR) | 统计公司的不同行业数量。 |
SELECT name FROM buildings ORDER BY Height DESC | CREATE TABLE buildings (name VARCHAR, Height VARCHAR) | 以建筑物高度降序列出建筑物名称。 |
SELECT name FROM buildings ORDER BY Height DESC | CREATE TABLE buildings (name VARCHAR, Height VARCHAR) | 建筑高度按降序排列的建筑物名称是什么？ |
SELECT Stories FROM buildings ORDER BY Height DESC LIMIT 1 | CREATE TABLE buildings (Stories VARCHAR, Height VARCHAR) | 找出最大高度的建筑物的故事。 |
SELECT Stories FROM buildings ORDER BY Height DESC LIMIT 1 | CREATE TABLE buildings (Stories VARCHAR, Height VARCHAR) | 最高建筑物的故事是什么？ |
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 | CREATE TABLE Office_locations (company_id VARCHAR, building_id VARCHAR), CREATE TABLE buildings (name VARCHAR, id VARCHAR), CREATE TABLE Companies (name VARCHAR, id VARCHAR) | 列出办公室所在建筑物的名称以及公司的名称。 |
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 | CREATE TABLE Office_locations (company_id VARCHAR, building_id VARCHAR), CREATE TABLE buildings (name VARCHAR, id VARCHAR), CREATE TABLE Companies (name VARCHAR, id VARCHAR) | 对于每个公司，返回其办公室所在的建筑物的名称和公司名称。 |
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 | CREATE TABLE Office_locations (company_id VARCHAR, building_id VARCHAR), CREATE TABLE buildings (name VARCHAR, id VARCHAR), CREATE TABLE Companies (id VARCHAR) | 显示有超过一个公司办公室的建筑物的名称。 |
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 | CREATE TABLE Office_locations (company_id VARCHAR, building_id VARCHAR), CREATE TABLE buildings (name VARCHAR, id VARCHAR), CREATE TABLE Companies (id VARCHAR) | 哪些建筑物有一个以上的公司办公室？给出建筑物名称。 |
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 | CREATE TABLE Office_locations (company_id VARCHAR, building_id VARCHAR), CREATE TABLE buildings (name VARCHAR, id VARCHAR), CREATE TABLE Companies (id VARCHAR) | 显示拥有公司办公室最多的建筑的名称。 |
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 | CREATE TABLE Office_locations (company_id VARCHAR, building_id VARCHAR), CREATE TABLE buildings (name VARCHAR, id VARCHAR), CREATE TABLE Companies (id VARCHAR) | 哪家公司拥有最多的公司办公室？给出建筑物名称。 |
SELECT name FROM buildings WHERE Status = "值班" ORDER BY Stories ASC | CREATE TABLE buildings (Stories VARCHAR, name VARCHAR, Status VARCHAR) | 请按楼层升序列出“值班”状态的建筑物的名称。 |
SELECT name FROM buildings WHERE Status = "值班" ORDER BY Stories ASC | CREATE TABLE buildings (Stories VARCHAR, name VARCHAR, Status VARCHAR) | 找出处于“值班”状态的建筑物的名称，并按照建筑物层级的升序对其进行排序。 |
SELECT Industry , COUNT(*) FROM Companies GROUP BY Industry | CREATE TABLE Companies (Industry VARCHAR) | 请显示每个行业的名称以及该行业相应的公司数量。 |
SELECT Industry , COUNT(*) FROM Companies GROUP BY Industry | CREATE TABLE Companies (Industry VARCHAR) | 每个行业的名称和每个行业中对应的公司数量是什么？ |
SELECT Industry FROM Companies GROUP BY Industry ORDER BY COUNT(*) DESC | CREATE TABLE Companies (Industry VARCHAR) | 请按照公司数量的降序显示公司的行业。 |
SELECT Industry FROM Companies GROUP BY Industry ORDER BY COUNT(*) DESC | CREATE TABLE Companies (Industry VARCHAR) | 按每个行业的公司数量的降序对所有行业进行排序 |
SELECT Industry FROM Companies GROUP BY Industry ORDER BY COUNT(*) DESC LIMIT 1 | CREATE TABLE Companies (Industry VARCHAR) | 列出大多数公司共享的行业。 |
SELECT Industry FROM Companies GROUP BY Industry ORDER BY COUNT(*) DESC LIMIT 1 | CREATE TABLE Companies (Industry VARCHAR) | 哪个行业有最多的公司？ |
SELECT name FROM buildings WHERE id NOT IN (SELECT building_id FROM Office_locations) | CREATE TABLE buildings (name VARCHAR, id VARCHAR, building_id VARCHAR), CREATE TABLE Office_locations (name VARCHAR, id VARCHAR, building_id VARCHAR) | 列出没有公司办公室的建筑名称。 |
SELECT name FROM buildings WHERE id NOT IN (SELECT building_id FROM Office_locations) | CREATE TABLE buildings (name VARCHAR, id VARCHAR, building_id VARCHAR), CREATE TABLE Office_locations (name VARCHAR, id VARCHAR, building_id VARCHAR) | 哪些建筑物没有公司的办公室？给出建筑的名称。 |
SELECT Industry FROM Companies WHERE Headquarters = "中国" INTERSECT SELECT Industry FROM Companies WHERE Headquarters = "中国" | CREATE TABLE Companies (Industry VARCHAR, Headquarters VARCHAR) | 显示总部设在“中国”的公司和总部设在“中国”的公司所共有的行业。 |
SELECT Industry FROM Companies WHERE Headquarters = "中国" INTERSECT SELECT Industry FROM Companies WHERE Headquarters = "中国" | CREATE TABLE Companies (Industry VARCHAR, Headquarters VARCHAR) | 总部设在“中国”的公司和总部设在“中国”的公司所共有的行业是那些？ |
SELECT count(*) FROM Companies WHERE Industry = "银行业" OR Industry = "综合" | CREATE TABLE Companies (Industry VARCHAR) | 找出其行业是“银行业”或“综合”的公司。 |
SELECT count(*) FROM Companies WHERE Industry = "银行业" OR Industry = "综合" | CREATE TABLE Companies (Industry VARCHAR) | 行业是“银行业”或“综合”的公司有多少家？ |
SELECT Headquarters FROM Companies GROUP BY Headquarters HAVING COUNT(*) > 2 | CREATE TABLE Companies (Headquarters VARCHAR) | 显示超过两家公司所共享的总部地点。 |
SELECT Headquarters FROM Companies GROUP BY Headquarters HAVING COUNT(*) > 2 | CREATE TABLE Companies (Headquarters VARCHAR) | 那个总部位置被超过2家公司所共享？ |
SELECT count(*) FROM Products | CREATE TABLE Products (Id VARCHAR) | 有多少产品？ |
SELECT Product_Name FROM Products ORDER BY Product_Price ASC | CREATE TABLE Products (Product_Price VARCHAR, Product_Name VARCHAR) | 按价格升序列出产品名称。 |
SELECT Product_Name , Product_Type_Code FROM Products | CREATE TABLE Products (Product_Type_Code VARCHAR, Product_Name VARCHAR) | 产品名称和型号代码是什么？ |
SELECT Product_Price FROM Products WHERE Product_Name = "快餐" OR Product_Name = "交易守则" | CREATE TABLE Products (Product_Price VARCHAR, Product_Name VARCHAR) | 名字是“快餐”或“交易守则”的产品的价格。 |
SELECT avg(Product_Price) FROM Products | CREATE TABLE Products (Product_Price INTEGER) | 产品的平均价格是多少？ |
SELECT Product_Name FROM Products ORDER BY Product_Price DESC LIMIT 1 | CREATE TABLE Products (Product_Price VARCHAR, Product_Name VARCHAR) | 价格最高的产品叫什么名字？ |
SELECT Product_Type_Code , COUNT(*) FROM Products GROUP BY Product_Type_Code | CREATE TABLE Products (Product_Type_Code VARCHAR) | 显示不同的产品类型代码以及每个类型代码的产品数量。 |
SELECT Product_Type_Code FROM Products GROUP BY Product_Type_Code ORDER BY COUNT(*) DESC LIMIT 1 | CREATE TABLE Products (Product_Type_Code VARCHAR) | 显示跨产品间最常见类型代码。 |
SELECT Product_Type_Code FROM Products GROUP BY Product_Type_Code HAVING COUNT(*) >= 2 | CREATE TABLE Products (Product_Type_Code VARCHAR) | 显示具有至少两个产品的产品类型代码。 |
SELECT Product_Type_Code FROM Products WHERE Product_Price > 4500 INTERSECT SELECT Product_Type_Code FROM Products WHERE Product_Price < 3000 | CREATE TABLE Products (Product_Price INTEGER, Product_Type_Code VARCHAR) | 展示产品价格高于4500和产品价格低于3000的产品型号代码。 |
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 | CREATE TABLE Products (Product_ID VARCHAR, Product_Name VARCHAR), CREATE TABLE Products_in_Events (Product_ID VARCHAR) | 显示产品的名称和事件的数量。 |
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 | CREATE TABLE Products (Product_ID VARCHAR, Product_Name VARCHAR), CREATE TABLE Products_in_Events (Product_ID VARCHAR) | 按照事件的数量按降序排序显示产品的名称和它们对应的事件数量。 |
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 | CREATE TABLE Products (Product_ID VARCHAR, Product_Name VARCHAR), CREATE TABLE Products_in_Events (Product_ID VARCHAR) | 显示至少有两个事件中的产品名称。 |
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 | CREATE TABLE Products (Product_ID VARCHAR, Product_Name VARCHAR), CREATE TABLE Products_in_Events (Product_ID VARCHAR) | 按照产品名称字母升序显示至少包含两个事件中的产品名称。 |
SELECT Product_Name FROM Products WHERE Product_ID NOT IN (SELECT Product_ID FROM Products_in_Events) | CREATE TABLE Products (Product_ID VARCHAR, Product_Name VARCHAR), CREATE TABLE Products_in_Events (Product_ID VARCHAR, Product_Name VARCHAR) | 列出没有任何事件的产品名称。 |
SELECT count(*) FROM artwork | CREATE TABLE artwork (Id VARCHAR) | 有多少艺术品？ |
SELECT Name FROM artwork ORDER BY Name ASC | CREATE TABLE artwork (Name VARCHAR) | 按字母顺序升序排列艺术品名称。 |
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.