Split (2)

train · 8.66k rows

db_name stringclasses 146 values	prompt stringlengths 310 4.81k
company_employee	### Complete SQL query only and with no explanation ### SQL tables followed by foreign key information: # # people ( People_ID, Age, Name, Nationality, Graduation_College ) # company ( Company_ID, Name, Headquarters, Industry, Sales_in_Billion, Profits_in_Billion, Assets_in_Billion, Market_Value_in_Billion ) # employment ( Company_ID, People_ID, Year_working ) # # employment.People_ID can be joined with people.People_ID # employment.Company_ID can be joined with company.Company_ID # ### Question: # # What is the maximum and minimum market value of companies? # ### SQL: # # SELECT max(Market_Value_in_Billion) , min(Market_Value_in_Billion) FROM company # ### End.
company_employee	### Complete SQL query only and with no explanation ### SQL tables followed by foreign key information: # # people ( People_ID, Age, Name, Nationality, Graduation_College ) # company ( Company_ID, Name, Headquarters, Industry, Sales_in_Billion, Profits_in_Billion, Assets_in_Billion, Market_Value_in_Billion ) # employment ( Company_ID, People_ID, Year_working ) # # employment.People_ID can be joined with people.People_ID # employment.Company_ID can be joined with company.Company_ID # ### Question: # # What is the headquarter of the company with the largest sales? # ### SQL: # # SELECT Headquarters FROM company ORDER BY Sales_in_Billion DESC LIMIT 1 # ### End.
company_employee	### Complete SQL query only and with no explanation ### SQL tables followed by foreign key information: # # people ( People_ID, Age, Name, Nationality, Graduation_College ) # company ( Company_ID, Name, Headquarters, Industry, Sales_in_Billion, Profits_in_Billion, Assets_in_Billion, Market_Value_in_Billion ) # employment ( Company_ID, People_ID, Year_working ) # # employment.People_ID can be joined with people.People_ID # employment.Company_ID can be joined with company.Company_ID # ### Question: # # Show the different headquarters and number of companies at each headquarter. # ### SQL: # # SELECT Headquarters , COUNT(*) FROM company GROUP BY Headquarters # ### End.
company_employee	### Complete SQL query only and with no explanation ### SQL tables followed by foreign key information: # # people ( People_ID, Age, Name, Nationality, Graduation_College ) # company ( Company_ID, Name, Headquarters, Industry, Sales_in_Billion, Profits_in_Billion, Assets_in_Billion, Market_Value_in_Billion ) # employment ( Company_ID, People_ID, Year_working ) # # employment.People_ID can be joined with people.People_ID # employment.Company_ID can be joined with company.Company_ID # ### Question: # # Show the most common headquarter for companies. # ### SQL: # # SELECT Headquarters FROM company GROUP BY Headquarters ORDER BY COUNT(*) DESC LIMIT 1 # ### End.
company_employee	### Complete SQL query only and with no explanation ### SQL tables followed by foreign key information: # # people ( People_ID, Age, Name, Nationality, Graduation_College ) # company ( Company_ID, Name, Headquarters, Industry, Sales_in_Billion, Profits_in_Billion, Assets_in_Billion, Market_Value_in_Billion ) # employment ( Company_ID, People_ID, Year_working ) # # employment.People_ID can be joined with people.People_ID # employment.Company_ID can be joined with company.Company_ID # ### Question: # # Show the headquarters that have at least two companies. # ### SQL: # # SELECT Headquarters FROM company GROUP BY Headquarters HAVING COUNT(*) >= 2 # ### End.
company_employee	### Complete SQL query only and with no explanation ### SQL tables followed by foreign key information: # # people ( People_ID, Age, Name, Nationality, Graduation_College ) # company ( Company_ID, Name, Headquarters, Industry, Sales_in_Billion, Profits_in_Billion, Assets_in_Billion, Market_Value_in_Billion ) # employment ( Company_ID, People_ID, Year_working ) # # employment.People_ID can be joined with people.People_ID # employment.Company_ID can be joined with company.Company_ID # ### Question: # # Show the headquarters that have both companies in banking industry and companies in oil and gas industry. # ### SQL: # # SELECT Headquarters FROM company WHERE Industry = "Banking" INTERSECT SELECT Headquarters FROM company WHERE Industry = "Oil and gas" # ### End.
company_employee	### Complete SQL query only and with no explanation ### SQL tables followed by foreign key information: # # people ( People_ID, Age, Name, Nationality, Graduation_College ) # company ( Company_ID, Name, Headquarters, Industry, Sales_in_Billion, Profits_in_Billion, Assets_in_Billion, Market_Value_in_Billion ) # employment ( Company_ID, People_ID, Year_working ) # # employment.People_ID can be joined with people.People_ID # employment.Company_ID can be joined with company.Company_ID # ### Question: # # Show the names of companies and of employees. # ### SQL: # # SELECT T3.Name , T2.Name FROM employment AS T1 JOIN people AS T2 ON T1.People_ID = T2.People_ID JOIN company AS T3 ON T1.Company_ID = T3.Company_ID # ### End.
company_employee	### Complete SQL query only and with no explanation ### SQL tables followed by foreign key information: # # people ( People_ID, Age, Name, Nationality, Graduation_College ) # company ( Company_ID, Name, Headquarters, Industry, Sales_in_Billion, Profits_in_Billion, Assets_in_Billion, Market_Value_in_Billion ) # employment ( Company_ID, People_ID, Year_working ) # # employment.People_ID can be joined with people.People_ID # employment.Company_ID can be joined with company.Company_ID # ### Question: # # Show names of companies and that of employees in descending order of number of years working for that employee. # ### SQL: # # SELECT T3.Name , T2.Name FROM employment AS T1 JOIN people AS T2 ON T1.People_ID = T2.People_ID JOIN company AS T3 ON T1.Company_ID = T3.Company_ID ORDER BY T1.Year_working # ### End.
company_employee	### Complete SQL query only and with no explanation ### SQL tables followed by foreign key information: # # people ( People_ID, Age, Name, Nationality, Graduation_College ) # company ( Company_ID, Name, Headquarters, Industry, Sales_in_Billion, Profits_in_Billion, Assets_in_Billion, Market_Value_in_Billion ) # employment ( Company_ID, People_ID, Year_working ) # # employment.People_ID can be joined with people.People_ID # employment.Company_ID can be joined with company.Company_ID # ### Question: # # Show the names of employees that work for companies with sales bigger than 200. # ### SQL: # # SELECT T2.Name FROM employment AS T1 JOIN people AS T2 ON T1.People_ID = T2.People_ID JOIN company AS T3 ON T1.Company_ID = T3.Company_ID WHERE T3.Sales_in_Billion > 200 # ### End.
company_employee	### Complete SQL query only and with no explanation ### SQL tables followed by foreign key information: # # people ( People_ID, Age, Name, Nationality, Graduation_College ) # company ( Company_ID, Name, Headquarters, Industry, Sales_in_Billion, Profits_in_Billion, Assets_in_Billion, Market_Value_in_Billion ) # employment ( Company_ID, People_ID, Year_working ) # # employment.People_ID can be joined with people.People_ID # employment.Company_ID can be joined with company.Company_ID # ### Question: # # Show the names of companies and the number of employees they have # ### SQL: # # SELECT T3.Name , COUNT(*) FROM employment AS T1 JOIN people AS T2 ON T1.People_ID = T2.People_ID JOIN company AS T3 ON T1.Company_ID = T3.Company_ID GROUP BY T3.Name # ### End.
company_employee	### Complete SQL query only and with no explanation ### SQL tables followed by foreign key information: # # people ( People_ID, Age, Name, Nationality, Graduation_College ) # company ( Company_ID, Name, Headquarters, Industry, Sales_in_Billion, Profits_in_Billion, Assets_in_Billion, Market_Value_in_Billion ) # employment ( Company_ID, People_ID, Year_working ) # # employment.People_ID can be joined with people.People_ID # employment.Company_ID can be joined with company.Company_ID # ### Question: # # List the names of people that are not employed by any company # ### SQL: # # SELECT Name FROM people WHERE People_ID NOT IN (SELECT People_ID FROM employment) # ### End.
company_employee	### Complete SQL query only and with no explanation ### SQL tables followed by foreign key information: # # people ( People_ID, Age, Name, Nationality, Graduation_College ) # company ( Company_ID, Name, Headquarters, Industry, Sales_in_Billion, Profits_in_Billion, Assets_in_Billion, Market_Value_in_Billion ) # employment ( Company_ID, People_ID, Year_working ) # # employment.People_ID can be joined with people.People_ID # employment.Company_ID can be joined with company.Company_ID # ### Question: # # list the names of the companies with more than 200 sales in the descending order of sales and profits. # ### SQL: # # SELECT name FROM company WHERE Sales_in_Billion > 200 ORDER BY Sales_in_Billion , Profits_in_Billion DESC # ### End.
film_rank	### Complete SQL query only and with no explanation ### SQL tables followed by foreign key information: # # film ( Film_ID, Title, Studio, Director, Gross_in_dollar ) # market ( Market_ID, Country, Number_cities ) # film_market_estimation ( Estimation_ID, Low_Estimate, High_Estimate, Film_ID, Type, Market_ID, Year ) # # film_market_estimation.Market_ID can be joined with market.Market_ID # film_market_estimation.Film_ID can be joined with film.Film_ID # ### Question: # # How many film are there? # ### SQL: # # SELECT count(*) FROM film # ### End.
film_rank	### Complete SQL query only and with no explanation ### SQL tables followed by foreign key information: # # film ( Film_ID, Title, Studio, Director, Gross_in_dollar ) # market ( Market_ID, Country, Number_cities ) # film_market_estimation ( Estimation_ID, Low_Estimate, High_Estimate, Film_ID, Type, Market_ID, Year ) # # film_market_estimation.Market_ID can be joined with market.Market_ID # film_market_estimation.Film_ID can be joined with film.Film_ID # ### Question: # # Count the number of films. # ### SQL: # # SELECT count(*) FROM film # ### End.
film_rank	### Complete SQL query only and with no explanation ### SQL tables followed by foreign key information: # # film ( Film_ID, Title, Studio, Director, Gross_in_dollar ) # market ( Market_ID, Country, Number_cities ) # film_market_estimation ( Estimation_ID, Low_Estimate, High_Estimate, Film_ID, Type, Market_ID, Year ) # # film_market_estimation.Market_ID can be joined with market.Market_ID # film_market_estimation.Film_ID can be joined with film.Film_ID # ### Question: # # List the distinct director of all films. # ### SQL: # # SELECT DISTINCT Director FROM film # ### End.
film_rank	### Complete SQL query only and with no explanation ### SQL tables followed by foreign key information: # # film ( Film_ID, Title, Studio, Director, Gross_in_dollar ) # market ( Market_ID, Country, Number_cities ) # film_market_estimation ( Estimation_ID, Low_Estimate, High_Estimate, Film_ID, Type, Market_ID, Year ) # # film_market_estimation.Market_ID can be joined with market.Market_ID # film_market_estimation.Film_ID can be joined with film.Film_ID # ### Question: # # What are the different film Directors? # ### SQL: # # SELECT DISTINCT Director FROM film # ### End.
film_rank	### Complete SQL query only and with no explanation ### SQL tables followed by foreign key information: # # film ( Film_ID, Title, Studio, Director, Gross_in_dollar ) # market ( Market_ID, Country, Number_cities ) # film_market_estimation ( Estimation_ID, Low_Estimate, High_Estimate, Film_ID, Type, Market_ID, Year ) # # film_market_estimation.Market_ID can be joined with market.Market_ID # film_market_estimation.Film_ID can be joined with film.Film_ID # ### Question: # # What is the average ticket sales gross in dollars of films? # ### SQL: # # SELECT avg(Gross_in_dollar) FROM film # ### End.
film_rank	### Complete SQL query only and with no explanation ### SQL tables followed by foreign key information: # # film ( Film_ID, Title, Studio, Director, Gross_in_dollar ) # market ( Market_ID, Country, Number_cities ) # film_market_estimation ( Estimation_ID, Low_Estimate, High_Estimate, Film_ID, Type, Market_ID, Year ) # # film_market_estimation.Market_ID can be joined with market.Market_ID # film_market_estimation.Film_ID can be joined with film.Film_ID # ### Question: # # Return the average gross sales in dollars across all films. # ### SQL: # # SELECT avg(Gross_in_dollar) FROM film # ### End.
film_rank	### Complete SQL query only and with no explanation ### SQL tables followed by foreign key information: # # film ( Film_ID, Title, Studio, Director, Gross_in_dollar ) # market ( Market_ID, Country, Number_cities ) # film_market_estimation ( Estimation_ID, Low_Estimate, High_Estimate, Film_ID, Type, Market_ID, Year ) # # film_market_estimation.Market_ID can be joined with market.Market_ID # film_market_estimation.Film_ID can be joined with film.Film_ID # ### Question: # # What are the low and high estimates of film markets? # ### SQL: # # SELECT Low_Estimate , High_Estimate FROM film_market_estimation # ### End.
film_rank	### Complete SQL query only and with no explanation ### SQL tables followed by foreign key information: # # film ( Film_ID, Title, Studio, Director, Gross_in_dollar ) # market ( Market_ID, Country, Number_cities ) # film_market_estimation ( Estimation_ID, Low_Estimate, High_Estimate, Film_ID, Type, Market_ID, Year ) # # film_market_estimation.Market_ID can be joined with market.Market_ID # film_market_estimation.Film_ID can be joined with film.Film_ID # ### Question: # # Return the low and high estimates for all film markets. # ### SQL: # # SELECT Low_Estimate , High_Estimate FROM film_market_estimation # ### End.
film_rank	### Complete SQL query only and with no explanation ### SQL tables followed by foreign key information: # # film ( Film_ID, Title, Studio, Director, Gross_in_dollar ) # market ( Market_ID, Country, Number_cities ) # film_market_estimation ( Estimation_ID, Low_Estimate, High_Estimate, Film_ID, Type, Market_ID, Year ) # # film_market_estimation.Market_ID can be joined with market.Market_ID # film_market_estimation.Film_ID can be joined with film.Film_ID # ### Question: # # What are the types of film market estimations in year 1995? # ### SQL: # # SELECT TYPE FROM film_market_estimation WHERE YEAR = 1995 # ### End.
film_rank	### Complete SQL query only and with no explanation ### SQL tables followed by foreign key information: # # film ( Film_ID, Title, Studio, Director, Gross_in_dollar ) # market ( Market_ID, Country, Number_cities ) # film_market_estimation ( Estimation_ID, Low_Estimate, High_Estimate, Film_ID, Type, Market_ID, Year ) # # film_market_estimation.Market_ID can be joined with market.Market_ID # film_market_estimation.Film_ID can be joined with film.Film_ID # ### Question: # # Return the types of film market estimations in 1995. # ### SQL: # # SELECT TYPE FROM film_market_estimation WHERE YEAR = 1995 # ### End.
film_rank	### Complete SQL query only and with no explanation ### SQL tables followed by foreign key information: # # film ( Film_ID, Title, Studio, Director, Gross_in_dollar ) # market ( Market_ID, Country, Number_cities ) # film_market_estimation ( Estimation_ID, Low_Estimate, High_Estimate, Film_ID, Type, Market_ID, Year ) # # film_market_estimation.Market_ID can be joined with market.Market_ID # film_market_estimation.Film_ID can be joined with film.Film_ID # ### Question: # # What are the maximum and minimum number of cities in all markets. # ### SQL: # # SELECT max(Number_cities) , min(Number_cities) FROM market # ### End.
film_rank	### Complete SQL query only and with no explanation ### SQL tables followed by foreign key information: # # film ( Film_ID, Title, Studio, Director, Gross_in_dollar ) # market ( Market_ID, Country, Number_cities ) # film_market_estimation ( Estimation_ID, Low_Estimate, High_Estimate, Film_ID, Type, Market_ID, Year ) # # film_market_estimation.Market_ID can be joined with market.Market_ID # film_market_estimation.Film_ID can be joined with film.Film_ID # ### Question: # # Return the maximum and minimum number of cities across all markets. # ### SQL: # # SELECT max(Number_cities) , min(Number_cities) FROM market # ### End.
film_rank	### Complete SQL query only and with no explanation ### SQL tables followed by foreign key information: # # film ( Film_ID, Title, Studio, Director, Gross_in_dollar ) # market ( Market_ID, Country, Number_cities ) # film_market_estimation ( Estimation_ID, Low_Estimate, High_Estimate, Film_ID, Type, Market_ID, Year ) # # film_market_estimation.Market_ID can be joined with market.Market_ID # film_market_estimation.Film_ID can be joined with film.Film_ID # ### Question: # # How many markets have number of cities smaller than 300? # ### SQL: # # SELECT count(*) FROM market WHERE Number_cities < 300 # ### End.
film_rank	### Complete SQL query only and with no explanation ### SQL tables followed by foreign key information: # # film ( Film_ID, Title, Studio, Director, Gross_in_dollar ) # market ( Market_ID, Country, Number_cities ) # film_market_estimation ( Estimation_ID, Low_Estimate, High_Estimate, Film_ID, Type, Market_ID, Year ) # # film_market_estimation.Market_ID can be joined with market.Market_ID # film_market_estimation.Film_ID can be joined with film.Film_ID # ### Question: # # Count the number of markets that have a number of cities lower than 300. # ### SQL: # # SELECT count(*) FROM market WHERE Number_cities < 300 # ### End.
film_rank	### Complete SQL query only and with no explanation ### SQL tables followed by foreign key information: # # film ( Film_ID, Title, Studio, Director, Gross_in_dollar ) # market ( Market_ID, Country, Number_cities ) # film_market_estimation ( Estimation_ID, Low_Estimate, High_Estimate, Film_ID, Type, Market_ID, Year ) # # film_market_estimation.Market_ID can be joined with market.Market_ID # film_market_estimation.Film_ID can be joined with film.Film_ID # ### Question: # # List all countries of markets in ascending alphabetical order. # ### SQL: # # SELECT Country FROM market ORDER BY Country ASC # ### End.
film_rank	### Complete SQL query only and with no explanation ### SQL tables followed by foreign key information: # # film ( Film_ID, Title, Studio, Director, Gross_in_dollar ) # market ( Market_ID, Country, Number_cities ) # film_market_estimation ( Estimation_ID, Low_Estimate, High_Estimate, Film_ID, Type, Market_ID, Year ) # # film_market_estimation.Market_ID can be joined with market.Market_ID # film_market_estimation.Film_ID can be joined with film.Film_ID # ### Question: # # What are the countries for each market, ordered alphabetically? # ### SQL: # # SELECT Country FROM market ORDER BY Country ASC # ### End.
film_rank	### Complete SQL query only and with no explanation ### SQL tables followed by foreign key information: # # film ( Film_ID, Title, Studio, Director, Gross_in_dollar ) # market ( Market_ID, Country, Number_cities ) # film_market_estimation ( Estimation_ID, Low_Estimate, High_Estimate, Film_ID, Type, Market_ID, Year ) # # film_market_estimation.Market_ID can be joined with market.Market_ID # film_market_estimation.Film_ID can be joined with film.Film_ID # ### Question: # # List all countries of markets in descending order of number of cities. # ### SQL: # # SELECT Country FROM market ORDER BY Number_cities DESC # ### End.
film_rank	### Complete SQL query only and with no explanation ### SQL tables followed by foreign key information: # # film ( Film_ID, Title, Studio, Director, Gross_in_dollar ) # market ( Market_ID, Country, Number_cities ) # film_market_estimation ( Estimation_ID, Low_Estimate, High_Estimate, Film_ID, Type, Market_ID, Year ) # # film_market_estimation.Market_ID can be joined with market.Market_ID # film_market_estimation.Film_ID can be joined with film.Film_ID # ### Question: # # What are the countries for each market ordered by decreasing number of cities? # ### SQL: # # SELECT Country FROM market ORDER BY Number_cities DESC # ### End.
film_rank	### Complete SQL query only and with no explanation ### SQL tables followed by foreign key information: # # film ( Film_ID, Title, Studio, Director, Gross_in_dollar ) # market ( Market_ID, Country, Number_cities ) # film_market_estimation ( Estimation_ID, Low_Estimate, High_Estimate, Film_ID, Type, Market_ID, Year ) # # film_market_estimation.Market_ID can be joined with market.Market_ID # film_market_estimation.Film_ID can be joined with film.Film_ID # ### Question: # # Please show the titles of films and the types of market estimations. # ### SQL: # # SELECT T1.Title , T2.Type FROM film AS T1 JOIN film_market_estimation AS T2 ON T1.Film_ID = T2.Film_ID # ### End.
film_rank	### Complete SQL query only and with no explanation ### SQL tables followed by foreign key information: # # film ( Film_ID, Title, Studio, Director, Gross_in_dollar ) # market ( Market_ID, Country, Number_cities ) # film_market_estimation ( Estimation_ID, Low_Estimate, High_Estimate, Film_ID, Type, Market_ID, Year ) # # film_market_estimation.Market_ID can be joined with market.Market_ID # film_market_estimation.Film_ID can be joined with film.Film_ID # ### Question: # # What are the titles of films and corresponding types of market estimations? # ### SQL: # # SELECT T1.Title , T2.Type FROM film AS T1 JOIN film_market_estimation AS T2 ON T1.Film_ID = T2.Film_ID # ### End.
film_rank	### Complete SQL query only and with no explanation ### SQL tables followed by foreign key information: # # film ( Film_ID, Title, Studio, Director, Gross_in_dollar ) # market ( Market_ID, Country, Number_cities ) # film_market_estimation ( Estimation_ID, Low_Estimate, High_Estimate, Film_ID, Type, Market_ID, Year ) # # film_market_estimation.Market_ID can be joined with market.Market_ID # film_market_estimation.Film_ID can be joined with film.Film_ID # ### Question: # # Show the distinct director of films with market estimation in the year of 1995. # ### SQL: # # SELECT DISTINCT T1.Director FROM film AS T1 JOIN film_market_estimation AS T2 ON T1.Film_ID = T2.Film_ID WHERE T2.Year = 1995 # ### End.
film_rank	### Complete SQL query only and with no explanation ### SQL tables followed by foreign key information: # # film ( Film_ID, Title, Studio, Director, Gross_in_dollar ) # market ( Market_ID, Country, Number_cities ) # film_market_estimation ( Estimation_ID, Low_Estimate, High_Estimate, Film_ID, Type, Market_ID, Year ) # # film_market_estimation.Market_ID can be joined with market.Market_ID # film_market_estimation.Film_ID can be joined with film.Film_ID # ### Question: # # Who are the different directors of films which had market estimation in 1995? # ### SQL: # # SELECT DISTINCT T1.Director FROM film AS T1 JOIN film_market_estimation AS T2 ON T1.Film_ID = T2.Film_ID WHERE T2.Year = 1995 # ### End.
film_rank	### Complete SQL query only and with no explanation ### SQL tables followed by foreign key information: # # film ( Film_ID, Title, Studio, Director, Gross_in_dollar ) # market ( Market_ID, Country, Number_cities ) # film_market_estimation ( Estimation_ID, Low_Estimate, High_Estimate, Film_ID, Type, Market_ID, Year ) # # film_market_estimation.Market_ID can be joined with market.Market_ID # film_market_estimation.Film_ID can be joined with film.Film_ID # ### Question: # # What is the average number of cities of markets with low film market estimate bigger than 10000? # ### SQL: # # SELECT avg(T2.Number_cities) FROM film_market_estimation AS T1 JOIN market AS T2 ON T1.Market_ID = T2.Market_ID WHERE T1.Low_Estimate > 10000 # ### End.
film_rank	### Complete SQL query only and with no explanation ### SQL tables followed by foreign key information: # # film ( Film_ID, Title, Studio, Director, Gross_in_dollar ) # market ( Market_ID, Country, Number_cities ) # film_market_estimation ( Estimation_ID, Low_Estimate, High_Estimate, Film_ID, Type, Market_ID, Year ) # # film_market_estimation.Market_ID can be joined with market.Market_ID # film_market_estimation.Film_ID can be joined with film.Film_ID # ### Question: # # Give the average number of cities within markets that had a low market estimation larger than 10000? # ### SQL: # # SELECT avg(T2.Number_cities) FROM film_market_estimation AS T1 JOIN market AS T2 ON T1.Market_ID = T2.Market_ID WHERE T1.Low_Estimate > 10000 # ### End.
film_rank	### Complete SQL query only and with no explanation ### SQL tables followed by foreign key information: # # film ( Film_ID, Title, Studio, Director, Gross_in_dollar ) # market ( Market_ID, Country, Number_cities ) # film_market_estimation ( Estimation_ID, Low_Estimate, High_Estimate, Film_ID, Type, Market_ID, Year ) # # film_market_estimation.Market_ID can be joined with market.Market_ID # film_market_estimation.Film_ID can be joined with film.Film_ID # ### Question: # # Please list the countries and years of film market estimations. # ### SQL: # # SELECT T2.Country , T1.Year FROM film_market_estimation AS T1 JOIN market AS T2 ON T1.Market_ID = T2.Market_ID # ### End.
film_rank	### Complete SQL query only and with no explanation ### SQL tables followed by foreign key information: # # film ( Film_ID, Title, Studio, Director, Gross_in_dollar ) # market ( Market_ID, Country, Number_cities ) # film_market_estimation ( Estimation_ID, Low_Estimate, High_Estimate, Film_ID, Type, Market_ID, Year ) # # film_market_estimation.Market_ID can be joined with market.Market_ID # film_market_estimation.Film_ID can be joined with film.Film_ID # ### Question: # # What are the countries of markets and their corresponding years of market estimation? # ### SQL: # # SELECT T2.Country , T1.Year FROM film_market_estimation AS T1 JOIN market AS T2 ON T1.Market_ID = T2.Market_ID # ### End.
film_rank	### Complete SQL query only and with no explanation ### SQL tables followed by foreign key information: # # film ( Film_ID, Title, Studio, Director, Gross_in_dollar ) # market ( Market_ID, Country, Number_cities ) # film_market_estimation ( Estimation_ID, Low_Estimate, High_Estimate, Film_ID, Type, Market_ID, Year ) # # film_market_estimation.Market_ID can be joined with market.Market_ID # film_market_estimation.Film_ID can be joined with film.Film_ID # ### Question: # # Please list the years of film market estimations when the market is in country "Japan" in descending order. # ### SQL: # # SELECT T1.Year FROM film_market_estimation AS T1 JOIN market AS T2 ON T1.Market_ID = T2.Market_ID WHERE T2.Country = "Japan" ORDER BY T1.Year DESC # ### End.
film_rank	### Complete SQL query only and with no explanation ### SQL tables followed by foreign key information: # # film ( Film_ID, Title, Studio, Director, Gross_in_dollar ) # market ( Market_ID, Country, Number_cities ) # film_market_estimation ( Estimation_ID, Low_Estimate, High_Estimate, Film_ID, Type, Market_ID, Year ) # # film_market_estimation.Market_ID can be joined with market.Market_ID # film_market_estimation.Film_ID can be joined with film.Film_ID # ### Question: # # What are the years of film market estimation for the market of Japan, ordered by year descending? # ### SQL: # # SELECT T1.Year FROM film_market_estimation AS T1 JOIN market AS T2 ON T1.Market_ID = T2.Market_ID WHERE T2.Country = "Japan" ORDER BY T1.Year DESC # ### End.
film_rank	### Complete SQL query only and with no explanation ### SQL tables followed by foreign key information: # # film ( Film_ID, Title, Studio, Director, Gross_in_dollar ) # market ( Market_ID, Country, Number_cities ) # film_market_estimation ( Estimation_ID, Low_Estimate, High_Estimate, Film_ID, Type, Market_ID, Year ) # # film_market_estimation.Market_ID can be joined with market.Market_ID # film_market_estimation.Film_ID can be joined with film.Film_ID # ### Question: # # List the studios of each film and the number of films produced by that studio. # ### SQL: # # SELECT Studio , COUNT(*) FROM film GROUP BY Studio # ### End.
film_rank	### Complete SQL query only and with no explanation ### SQL tables followed by foreign key information: # # film ( Film_ID, Title, Studio, Director, Gross_in_dollar ) # market ( Market_ID, Country, Number_cities ) # film_market_estimation ( Estimation_ID, Low_Estimate, High_Estimate, Film_ID, Type, Market_ID, Year ) # # film_market_estimation.Market_ID can be joined with market.Market_ID # film_market_estimation.Film_ID can be joined with film.Film_ID # ### Question: # # How films are produced by each studio? # ### SQL: # # SELECT Studio , COUNT(*) FROM film GROUP BY Studio # ### End.
film_rank	### Complete SQL query only and with no explanation ### SQL tables followed by foreign key information: # # film ( Film_ID, Title, Studio, Director, Gross_in_dollar ) # market ( Market_ID, Country, Number_cities ) # film_market_estimation ( Estimation_ID, Low_Estimate, High_Estimate, Film_ID, Type, Market_ID, Year ) # # film_market_estimation.Market_ID can be joined with market.Market_ID # film_market_estimation.Film_ID can be joined with film.Film_ID # ### Question: # # List the name of film studio that have the most number of films. # ### SQL: # # SELECT Studio FROM film GROUP BY Studio ORDER BY COUNT(*) DESC LIMIT 1 # ### End.
film_rank	### Complete SQL query only and with no explanation ### SQL tables followed by foreign key information: # # film ( Film_ID, Title, Studio, Director, Gross_in_dollar ) # market ( Market_ID, Country, Number_cities ) # film_market_estimation ( Estimation_ID, Low_Estimate, High_Estimate, Film_ID, Type, Market_ID, Year ) # # film_market_estimation.Market_ID can be joined with market.Market_ID # film_market_estimation.Film_ID can be joined with film.Film_ID # ### Question: # # What is the name of teh studio that created the most films? # ### SQL: # # SELECT Studio FROM film GROUP BY Studio ORDER BY COUNT(*) DESC LIMIT 1 # ### End.
film_rank	### Complete SQL query only and with no explanation ### SQL tables followed by foreign key information: # # film ( Film_ID, Title, Studio, Director, Gross_in_dollar ) # market ( Market_ID, Country, Number_cities ) # film_market_estimation ( Estimation_ID, Low_Estimate, High_Estimate, Film_ID, Type, Market_ID, Year ) # # film_market_estimation.Market_ID can be joined with market.Market_ID # film_market_estimation.Film_ID can be joined with film.Film_ID # ### Question: # # List the names of studios that have at least two films. # ### SQL: # # SELECT Studio FROM film GROUP BY Studio HAVING COUNT(*) >= 2 # ### End.
film_rank	### Complete SQL query only and with no explanation ### SQL tables followed by foreign key information: # # film ( Film_ID, Title, Studio, Director, Gross_in_dollar ) # market ( Market_ID, Country, Number_cities ) # film_market_estimation ( Estimation_ID, Low_Estimate, High_Estimate, Film_ID, Type, Market_ID, Year ) # # film_market_estimation.Market_ID can be joined with market.Market_ID # film_market_estimation.Film_ID can be joined with film.Film_ID # ### Question: # # What are the names of studios that have made two or more films? # ### SQL: # # SELECT Studio FROM film GROUP BY Studio HAVING COUNT(*) >= 2 # ### End.
film_rank	### Complete SQL query only and with no explanation ### SQL tables followed by foreign key information: # # film ( Film_ID, Title, Studio, Director, Gross_in_dollar ) # market ( Market_ID, Country, Number_cities ) # film_market_estimation ( Estimation_ID, Low_Estimate, High_Estimate, Film_ID, Type, Market_ID, Year ) # # film_market_estimation.Market_ID can be joined with market.Market_ID # film_market_estimation.Film_ID can be joined with film.Film_ID # ### Question: # # List the title of films that do not have any market estimation. # ### SQL: # # SELECT Title FROM film WHERE Film_ID NOT IN (SELECT Film_ID FROM film_market_estimation) # ### End.
film_rank	### Complete SQL query only and with no explanation ### SQL tables followed by foreign key information: # # film ( Film_ID, Title, Studio, Director, Gross_in_dollar ) # market ( Market_ID, Country, Number_cities ) # film_market_estimation ( Estimation_ID, Low_Estimate, High_Estimate, Film_ID, Type, Market_ID, Year ) # # film_market_estimation.Market_ID can be joined with market.Market_ID # film_market_estimation.Film_ID can be joined with film.Film_ID # ### Question: # # What are the titles of films that do not have a film market estimation? # ### SQL: # # SELECT Title FROM film WHERE Film_ID NOT IN (SELECT Film_ID FROM film_market_estimation) # ### End.
film_rank	### Complete SQL query only and with no explanation ### SQL tables followed by foreign key information: # # film ( Film_ID, Title, Studio, Director, Gross_in_dollar ) # market ( Market_ID, Country, Number_cities ) # film_market_estimation ( Estimation_ID, Low_Estimate, High_Estimate, Film_ID, Type, Market_ID, Year ) # # film_market_estimation.Market_ID can be joined with market.Market_ID # film_market_estimation.Film_ID can be joined with film.Film_ID # ### Question: # # Show the studios that have produced films with director "Nicholas Meyer" and "Walter Hill". # ### SQL: # # SELECT Studio FROM film WHERE Director = "Nicholas Meyer" INTERSECT SELECT Studio FROM film WHERE Director = "Walter Hill" # ### End.
film_rank	### Complete SQL query only and with no explanation ### SQL tables followed by foreign key information: # # film ( Film_ID, Title, Studio, Director, Gross_in_dollar ) # market ( Market_ID, Country, Number_cities ) # film_market_estimation ( Estimation_ID, Low_Estimate, High_Estimate, Film_ID, Type, Market_ID, Year ) # # film_market_estimation.Market_ID can be joined with market.Market_ID # film_market_estimation.Film_ID can be joined with film.Film_ID # ### Question: # # What are the names of studios that have produced films with both Nicholas Meyer and Walter Hill? # ### SQL: # # SELECT Studio FROM film WHERE Director = "Nicholas Meyer" INTERSECT SELECT Studio FROM film WHERE Director = "Walter Hill" # ### End.
film_rank	### Complete SQL query only and with no explanation ### SQL tables followed by foreign key information: # # film ( Film_ID, Title, Studio, Director, Gross_in_dollar ) # market ( Market_ID, Country, Number_cities ) # film_market_estimation ( Estimation_ID, Low_Estimate, High_Estimate, Film_ID, Type, Market_ID, Year ) # # film_market_estimation.Market_ID can be joined with market.Market_ID # film_market_estimation.Film_ID can be joined with film.Film_ID # ### Question: # # Find the titles and studios of the films that are produced by some film studios that contained the word "Universal". # ### SQL: # # SELECT title , Studio FROM film WHERE Studio LIKE "%Universal%" # ### End.
film_rank	### Complete SQL query only and with no explanation ### SQL tables followed by foreign key information: # # film ( Film_ID, Title, Studio, Director, Gross_in_dollar ) # market ( Market_ID, Country, Number_cities ) # film_market_estimation ( Estimation_ID, Low_Estimate, High_Estimate, Film_ID, Type, Market_ID, Year ) # # film_market_estimation.Market_ID can be joined with market.Market_ID # film_market_estimation.Film_ID can be joined with film.Film_ID # ### Question: # # What are the titles and studios of films that have been produced by a studio whose name contains "Universal"? # ### SQL: # # SELECT title , Studio FROM film WHERE Studio LIKE "%Universal%" # ### End.
film_rank	### Complete SQL query only and with no explanation ### SQL tables followed by foreign key information: # # film ( Film_ID, Title, Studio, Director, Gross_in_dollar ) # market ( Market_ID, Country, Number_cities ) # film_market_estimation ( Estimation_ID, Low_Estimate, High_Estimate, Film_ID, Type, Market_ID, Year ) # # film_market_estimation.Market_ID can be joined with market.Market_ID # film_market_estimation.Film_ID can be joined with film.Film_ID # ### Question: # # Show the studios that have not produced films with director "Walter Hill". # ### SQL: # # SELECT Studio FROM film EXCEPT SELECT Studio FROM film WHERE Director = "Walter Hill" # ### End.
film_rank	### Complete SQL query only and with no explanation ### SQL tables followed by foreign key information: # # film ( Film_ID, Title, Studio, Director, Gross_in_dollar ) # market ( Market_ID, Country, Number_cities ) # film_market_estimation ( Estimation_ID, Low_Estimate, High_Estimate, Film_ID, Type, Market_ID, Year ) # # film_market_estimation.Market_ID can be joined with market.Market_ID # film_market_estimation.Film_ID can be joined with film.Film_ID # ### Question: # # Which studios have never worked with the director Walter Hill? # ### SQL: # # SELECT Studio FROM film EXCEPT SELECT Studio FROM film WHERE Director = "Walter Hill" # ### End.
film_rank	### Complete SQL query only and with no explanation ### SQL tables followed by foreign key information: # # film ( Film_ID, Title, Studio, Director, Gross_in_dollar ) # market ( Market_ID, Country, Number_cities ) # film_market_estimation ( Estimation_ID, Low_Estimate, High_Estimate, Film_ID, Type, Market_ID, Year ) # # film_market_estimation.Market_ID can be joined with market.Market_ID # film_market_estimation.Film_ID can be joined with film.Film_ID # ### Question: # # List the studios which average gross is above 4500000. # ### SQL: # # SELECT Studio FROM film GROUP BY Studio HAVING avg(Gross_in_dollar) >= 4500000 # ### End.
film_rank	### Complete SQL query only and with no explanation ### SQL tables followed by foreign key information: # # film ( Film_ID, Title, Studio, Director, Gross_in_dollar ) # market ( Market_ID, Country, Number_cities ) # film_market_estimation ( Estimation_ID, Low_Estimate, High_Estimate, Film_ID, Type, Market_ID, Year ) # # film_market_estimation.Market_ID can be joined with market.Market_ID # film_market_estimation.Film_ID can be joined with film.Film_ID # ### Question: # # Which studios have an average gross of over 4500000? # ### SQL: # # SELECT Studio FROM film GROUP BY Studio HAVING avg(Gross_in_dollar) >= 4500000 # ### End.
film_rank	### Complete SQL query only and with no explanation ### SQL tables followed by foreign key information: # # film ( Film_ID, Title, Studio, Director, Gross_in_dollar ) # market ( Market_ID, Country, Number_cities ) # film_market_estimation ( Estimation_ID, Low_Estimate, High_Estimate, Film_ID, Type, Market_ID, Year ) # # film_market_estimation.Market_ID can be joined with market.Market_ID # film_market_estimation.Film_ID can be joined with film.Film_ID # ### Question: # # What is the title of the film that has the highest high market estimation. # ### SQL: # # SELECT t1.title FROM film AS T1 JOIN film_market_estimation AS T2 ON T1.Film_ID = T2.Film_ID ORDER BY high_estimate DESC LIMIT 1 # ### End.
film_rank	### Complete SQL query only and with no explanation ### SQL tables followed by foreign key information: # # film ( Film_ID, Title, Studio, Director, Gross_in_dollar ) # market ( Market_ID, Country, Number_cities ) # film_market_estimation ( Estimation_ID, Low_Estimate, High_Estimate, Film_ID, Type, Market_ID, Year ) # # film_market_estimation.Market_ID can be joined with market.Market_ID # film_market_estimation.Film_ID can be joined with film.Film_ID # ### Question: # # Return the title of the film with the highest high estimate? # ### SQL: # # SELECT t1.title FROM film AS T1 JOIN film_market_estimation AS T2 ON T1.Film_ID = T2.Film_ID ORDER BY high_estimate DESC LIMIT 1 # ### End.
film_rank	### Complete SQL query only and with no explanation ### SQL tables followed by foreign key information: # # film ( Film_ID, Title, Studio, Director, Gross_in_dollar ) # market ( Market_ID, Country, Number_cities ) # film_market_estimation ( Estimation_ID, Low_Estimate, High_Estimate, Film_ID, Type, Market_ID, Year ) # # film_market_estimation.Market_ID can be joined with market.Market_ID # film_market_estimation.Film_ID can be joined with film.Film_ID # ### Question: # # What are the titles and directors of the films were never presented in China? # ### SQL: # # SELECT title , director FROM film WHERE film_id NOT IN (SELECT film_id FROM film_market_estimation AS T1 JOIN market AS T2 ON T1.market_id = T2.Market_ID WHERE country = 'China') # ### End.
film_rank	### Complete SQL query only and with no explanation ### SQL tables followed by foreign key information: # # film ( Film_ID, Title, Studio, Director, Gross_in_dollar ) # market ( Market_ID, Country, Number_cities ) # film_market_estimation ( Estimation_ID, Low_Estimate, High_Estimate, Film_ID, Type, Market_ID, Year ) # # film_market_estimation.Market_ID can be joined with market.Market_ID # film_market_estimation.Film_ID can be joined with film.Film_ID # ### Question: # # Return the titles and directors of films that were never in the market of China. # ### SQL: # # SELECT title , director FROM film WHERE film_id NOT IN (SELECT film_id FROM film_market_estimation AS T1 JOIN market AS T2 ON T1.market_id = T2.Market_ID WHERE country = 'China') # ### End.
cre_Doc_Tracking_DB	### Complete SQL query only and with no explanation ### SQL tables followed by foreign key information: # # Ref_Document_Types ( Document_Type_Code, Document_Type_Name, Document_Type_Description ) # Ref_Calendar ( Calendar_Date, Day_Number ) # Ref_Locations ( Location_Code, Location_Name, Location_Description ) # Roles ( Role_Code, Role_Name, Role_Description ) # All_Documents ( Document_ID, Date_Stored, Document_Type_Code, Document_Name, Document_Description, Other_Details ) # Employees ( Employee_ID, Role_Code, Employee_Name, Gender_MFU, Date_of_Birth, Other_Details ) # Document_Locations ( Document_ID, Location_Code, Date_in_Location_From, Date_in_Locaton_To ) # Documents_to_be_Destroyed ( Document_ID, Destruction_Authorised_by_Employee_ID, Destroyed_by_Employee_ID, Planned_Destruction_Date, Actual_Destruction_Date, Other_Details ) # # All_Documents.Date_Stored can be joined with Ref_Calendar.Calendar_Date # All_Documents.Document_Type_Code can be joined with Ref_Document_Types.Document_Type_Code # Employees.Role_Code can be joined with Roles.Role_Code # Document_Locations.Document_ID can be joined with All_Documents.Document_ID # Document_Locations.Date_in_Locaton_To can be joined with Ref_Calendar.Calendar_Date # Document_Locations.Date_in_Location_From can be joined with Ref_Calendar.Calendar_Date # Document_Locations.Location_Code can be joined with Ref_Locations.Location_Code # Documents_to_be_Destroyed.Document_ID can be joined with All_Documents.Document_ID # Documents_to_be_Destroyed.Actual_Destruction_Date can be joined with Ref_Calendar.Calendar_Date # Documents_to_be_Destroyed.Planned_Destruction_Date can be joined with Ref_Calendar.Calendar_Date # Documents_to_be_Destroyed.Destruction_Authorised_by_Employee_ID can be joined with Employees.Employee_ID # Documents_to_be_Destroyed.Destroyed_by_Employee_ID can be joined with Employees.Employee_ID # ### Question: # # How many calendar items do we have? # ### SQL: # # SELECT count(*) FROM Ref_calendar # ### End.
cre_Doc_Tracking_DB	### Complete SQL query only and with no explanation ### SQL tables followed by foreign key information: # # Ref_Document_Types ( Document_Type_Code, Document_Type_Name, Document_Type_Description ) # Ref_Calendar ( Calendar_Date, Day_Number ) # Ref_Locations ( Location_Code, Location_Name, Location_Description ) # Roles ( Role_Code, Role_Name, Role_Description ) # All_Documents ( Document_ID, Date_Stored, Document_Type_Code, Document_Name, Document_Description, Other_Details ) # Employees ( Employee_ID, Role_Code, Employee_Name, Gender_MFU, Date_of_Birth, Other_Details ) # Document_Locations ( Document_ID, Location_Code, Date_in_Location_From, Date_in_Locaton_To ) # Documents_to_be_Destroyed ( Document_ID, Destruction_Authorised_by_Employee_ID, Destroyed_by_Employee_ID, Planned_Destruction_Date, Actual_Destruction_Date, Other_Details ) # # All_Documents.Date_Stored can be joined with Ref_Calendar.Calendar_Date # All_Documents.Document_Type_Code can be joined with Ref_Document_Types.Document_Type_Code # Employees.Role_Code can be joined with Roles.Role_Code # Document_Locations.Document_ID can be joined with All_Documents.Document_ID # Document_Locations.Date_in_Locaton_To can be joined with Ref_Calendar.Calendar_Date # Document_Locations.Date_in_Location_From can be joined with Ref_Calendar.Calendar_Date # Document_Locations.Location_Code can be joined with Ref_Locations.Location_Code # Documents_to_be_Destroyed.Document_ID can be joined with All_Documents.Document_ID # Documents_to_be_Destroyed.Actual_Destruction_Date can be joined with Ref_Calendar.Calendar_Date # Documents_to_be_Destroyed.Planned_Destruction_Date can be joined with Ref_Calendar.Calendar_Date # Documents_to_be_Destroyed.Destruction_Authorised_by_Employee_ID can be joined with Employees.Employee_ID # Documents_to_be_Destroyed.Destroyed_by_Employee_ID can be joined with Employees.Employee_ID # ### Question: # # Count the number of all the calendar items. # ### SQL: # # SELECT count(*) FROM Ref_calendar # ### End.
cre_Doc_Tracking_DB	### Complete SQL query only and with no explanation ### SQL tables followed by foreign key information: # # Ref_Document_Types ( Document_Type_Code, Document_Type_Name, Document_Type_Description ) # Ref_Calendar ( Calendar_Date, Day_Number ) # Ref_Locations ( Location_Code, Location_Name, Location_Description ) # Roles ( Role_Code, Role_Name, Role_Description ) # All_Documents ( Document_ID, Date_Stored, Document_Type_Code, Document_Name, Document_Description, Other_Details ) # Employees ( Employee_ID, Role_Code, Employee_Name, Gender_MFU, Date_of_Birth, Other_Details ) # Document_Locations ( Document_ID, Location_Code, Date_in_Location_From, Date_in_Locaton_To ) # Documents_to_be_Destroyed ( Document_ID, Destruction_Authorised_by_Employee_ID, Destroyed_by_Employee_ID, Planned_Destruction_Date, Actual_Destruction_Date, Other_Details ) # # All_Documents.Date_Stored can be joined with Ref_Calendar.Calendar_Date # All_Documents.Document_Type_Code can be joined with Ref_Document_Types.Document_Type_Code # Employees.Role_Code can be joined with Roles.Role_Code # Document_Locations.Document_ID can be joined with All_Documents.Document_ID # Document_Locations.Date_in_Locaton_To can be joined with Ref_Calendar.Calendar_Date # Document_Locations.Date_in_Location_From can be joined with Ref_Calendar.Calendar_Date # Document_Locations.Location_Code can be joined with Ref_Locations.Location_Code # Documents_to_be_Destroyed.Document_ID can be joined with All_Documents.Document_ID # Documents_to_be_Destroyed.Actual_Destruction_Date can be joined with Ref_Calendar.Calendar_Date # Documents_to_be_Destroyed.Planned_Destruction_Date can be joined with Ref_Calendar.Calendar_Date # Documents_to_be_Destroyed.Destruction_Authorised_by_Employee_ID can be joined with Employees.Employee_ID # Documents_to_be_Destroyed.Destroyed_by_Employee_ID can be joined with Employees.Employee_ID # ### Question: # # Show all calendar dates and day Numbers. # ### SQL: # # SELECT calendar_date , day_Number FROM Ref_calendar # ### End.
cre_Doc_Tracking_DB	### Complete SQL query only and with no explanation ### SQL tables followed by foreign key information: # # Ref_Document_Types ( Document_Type_Code, Document_Type_Name, Document_Type_Description ) # Ref_Calendar ( Calendar_Date, Day_Number ) # Ref_Locations ( Location_Code, Location_Name, Location_Description ) # Roles ( Role_Code, Role_Name, Role_Description ) # All_Documents ( Document_ID, Date_Stored, Document_Type_Code, Document_Name, Document_Description, Other_Details ) # Employees ( Employee_ID, Role_Code, Employee_Name, Gender_MFU, Date_of_Birth, Other_Details ) # Document_Locations ( Document_ID, Location_Code, Date_in_Location_From, Date_in_Locaton_To ) # Documents_to_be_Destroyed ( Document_ID, Destruction_Authorised_by_Employee_ID, Destroyed_by_Employee_ID, Planned_Destruction_Date, Actual_Destruction_Date, Other_Details ) # # All_Documents.Date_Stored can be joined with Ref_Calendar.Calendar_Date # All_Documents.Document_Type_Code can be joined with Ref_Document_Types.Document_Type_Code # Employees.Role_Code can be joined with Roles.Role_Code # Document_Locations.Document_ID can be joined with All_Documents.Document_ID # Document_Locations.Date_in_Locaton_To can be joined with Ref_Calendar.Calendar_Date # Document_Locations.Date_in_Location_From can be joined with Ref_Calendar.Calendar_Date # Document_Locations.Location_Code can be joined with Ref_Locations.Location_Code # Documents_to_be_Destroyed.Document_ID can be joined with All_Documents.Document_ID # Documents_to_be_Destroyed.Actual_Destruction_Date can be joined with Ref_Calendar.Calendar_Date # Documents_to_be_Destroyed.Planned_Destruction_Date can be joined with Ref_Calendar.Calendar_Date # Documents_to_be_Destroyed.Destruction_Authorised_by_Employee_ID can be joined with Employees.Employee_ID # Documents_to_be_Destroyed.Destroyed_by_Employee_ID can be joined with Employees.Employee_ID # ### Question: # # What are all the calendar dates and day Numbers? # ### SQL: # # SELECT calendar_date , day_Number FROM Ref_calendar # ### End.
cre_Doc_Tracking_DB	### Complete SQL query only and with no explanation ### SQL tables followed by foreign key information: # # Ref_Document_Types ( Document_Type_Code, Document_Type_Name, Document_Type_Description ) # Ref_Calendar ( Calendar_Date, Day_Number ) # Ref_Locations ( Location_Code, Location_Name, Location_Description ) # Roles ( Role_Code, Role_Name, Role_Description ) # All_Documents ( Document_ID, Date_Stored, Document_Type_Code, Document_Name, Document_Description, Other_Details ) # Employees ( Employee_ID, Role_Code, Employee_Name, Gender_MFU, Date_of_Birth, Other_Details ) # Document_Locations ( Document_ID, Location_Code, Date_in_Location_From, Date_in_Locaton_To ) # Documents_to_be_Destroyed ( Document_ID, Destruction_Authorised_by_Employee_ID, Destroyed_by_Employee_ID, Planned_Destruction_Date, Actual_Destruction_Date, Other_Details ) # # All_Documents.Date_Stored can be joined with Ref_Calendar.Calendar_Date # All_Documents.Document_Type_Code can be joined with Ref_Document_Types.Document_Type_Code # Employees.Role_Code can be joined with Roles.Role_Code # Document_Locations.Document_ID can be joined with All_Documents.Document_ID # Document_Locations.Date_in_Locaton_To can be joined with Ref_Calendar.Calendar_Date # Document_Locations.Date_in_Location_From can be joined with Ref_Calendar.Calendar_Date # Document_Locations.Location_Code can be joined with Ref_Locations.Location_Code # Documents_to_be_Destroyed.Document_ID can be joined with All_Documents.Document_ID # Documents_to_be_Destroyed.Actual_Destruction_Date can be joined with Ref_Calendar.Calendar_Date # Documents_to_be_Destroyed.Planned_Destruction_Date can be joined with Ref_Calendar.Calendar_Date # Documents_to_be_Destroyed.Destruction_Authorised_by_Employee_ID can be joined with Employees.Employee_ID # Documents_to_be_Destroyed.Destroyed_by_Employee_ID can be joined with Employees.Employee_ID # ### Question: # # Show the number of document types. # ### SQL: # # SELECT count(*) FROM Ref_document_types # ### End.
cre_Doc_Tracking_DB	### Complete SQL query only and with no explanation ### SQL tables followed by foreign key information: # # Ref_Document_Types ( Document_Type_Code, Document_Type_Name, Document_Type_Description ) # Ref_Calendar ( Calendar_Date, Day_Number ) # Ref_Locations ( Location_Code, Location_Name, Location_Description ) # Roles ( Role_Code, Role_Name, Role_Description ) # All_Documents ( Document_ID, Date_Stored, Document_Type_Code, Document_Name, Document_Description, Other_Details ) # Employees ( Employee_ID, Role_Code, Employee_Name, Gender_MFU, Date_of_Birth, Other_Details ) # Document_Locations ( Document_ID, Location_Code, Date_in_Location_From, Date_in_Locaton_To ) # Documents_to_be_Destroyed ( Document_ID, Destruction_Authorised_by_Employee_ID, Destroyed_by_Employee_ID, Planned_Destruction_Date, Actual_Destruction_Date, Other_Details ) # # All_Documents.Date_Stored can be joined with Ref_Calendar.Calendar_Date # All_Documents.Document_Type_Code can be joined with Ref_Document_Types.Document_Type_Code # Employees.Role_Code can be joined with Roles.Role_Code # Document_Locations.Document_ID can be joined with All_Documents.Document_ID # Document_Locations.Date_in_Locaton_To can be joined with Ref_Calendar.Calendar_Date # Document_Locations.Date_in_Location_From can be joined with Ref_Calendar.Calendar_Date # Document_Locations.Location_Code can be joined with Ref_Locations.Location_Code # Documents_to_be_Destroyed.Document_ID can be joined with All_Documents.Document_ID # Documents_to_be_Destroyed.Actual_Destruction_Date can be joined with Ref_Calendar.Calendar_Date # Documents_to_be_Destroyed.Planned_Destruction_Date can be joined with Ref_Calendar.Calendar_Date # Documents_to_be_Destroyed.Destruction_Authorised_by_Employee_ID can be joined with Employees.Employee_ID # Documents_to_be_Destroyed.Destroyed_by_Employee_ID can be joined with Employees.Employee_ID # ### Question: # # How many document types are there? # ### SQL: # # SELECT count(*) FROM Ref_document_types # ### End.
cre_Doc_Tracking_DB	### Complete SQL query only and with no explanation ### SQL tables followed by foreign key information: # # Ref_Document_Types ( Document_Type_Code, Document_Type_Name, Document_Type_Description ) # Ref_Calendar ( Calendar_Date, Day_Number ) # Ref_Locations ( Location_Code, Location_Name, Location_Description ) # Roles ( Role_Code, Role_Name, Role_Description ) # All_Documents ( Document_ID, Date_Stored, Document_Type_Code, Document_Name, Document_Description, Other_Details ) # Employees ( Employee_ID, Role_Code, Employee_Name, Gender_MFU, Date_of_Birth, Other_Details ) # Document_Locations ( Document_ID, Location_Code, Date_in_Location_From, Date_in_Locaton_To ) # Documents_to_be_Destroyed ( Document_ID, Destruction_Authorised_by_Employee_ID, Destroyed_by_Employee_ID, Planned_Destruction_Date, Actual_Destruction_Date, Other_Details ) # # All_Documents.Date_Stored can be joined with Ref_Calendar.Calendar_Date # All_Documents.Document_Type_Code can be joined with Ref_Document_Types.Document_Type_Code # Employees.Role_Code can be joined with Roles.Role_Code # Document_Locations.Document_ID can be joined with All_Documents.Document_ID # Document_Locations.Date_in_Locaton_To can be joined with Ref_Calendar.Calendar_Date # Document_Locations.Date_in_Location_From can be joined with Ref_Calendar.Calendar_Date # Document_Locations.Location_Code can be joined with Ref_Locations.Location_Code # Documents_to_be_Destroyed.Document_ID can be joined with All_Documents.Document_ID # Documents_to_be_Destroyed.Actual_Destruction_Date can be joined with Ref_Calendar.Calendar_Date # Documents_to_be_Destroyed.Planned_Destruction_Date can be joined with Ref_Calendar.Calendar_Date # Documents_to_be_Destroyed.Destruction_Authorised_by_Employee_ID can be joined with Employees.Employee_ID # Documents_to_be_Destroyed.Destroyed_by_Employee_ID can be joined with Employees.Employee_ID # ### Question: # # List all document type codes and document type names. # ### SQL: # # SELECT document_type_code , document_type_name FROM Ref_document_types # ### End.
cre_Doc_Tracking_DB	### Complete SQL query only and with no explanation ### SQL tables followed by foreign key information: # # Ref_Document_Types ( Document_Type_Code, Document_Type_Name, Document_Type_Description ) # Ref_Calendar ( Calendar_Date, Day_Number ) # Ref_Locations ( Location_Code, Location_Name, Location_Description ) # Roles ( Role_Code, Role_Name, Role_Description ) # All_Documents ( Document_ID, Date_Stored, Document_Type_Code, Document_Name, Document_Description, Other_Details ) # Employees ( Employee_ID, Role_Code, Employee_Name, Gender_MFU, Date_of_Birth, Other_Details ) # Document_Locations ( Document_ID, Location_Code, Date_in_Location_From, Date_in_Locaton_To ) # Documents_to_be_Destroyed ( Document_ID, Destruction_Authorised_by_Employee_ID, Destroyed_by_Employee_ID, Planned_Destruction_Date, Actual_Destruction_Date, Other_Details ) # # All_Documents.Date_Stored can be joined with Ref_Calendar.Calendar_Date # All_Documents.Document_Type_Code can be joined with Ref_Document_Types.Document_Type_Code # Employees.Role_Code can be joined with Roles.Role_Code # Document_Locations.Document_ID can be joined with All_Documents.Document_ID # Document_Locations.Date_in_Locaton_To can be joined with Ref_Calendar.Calendar_Date # Document_Locations.Date_in_Location_From can be joined with Ref_Calendar.Calendar_Date # Document_Locations.Location_Code can be joined with Ref_Locations.Location_Code # Documents_to_be_Destroyed.Document_ID can be joined with All_Documents.Document_ID # Documents_to_be_Destroyed.Actual_Destruction_Date can be joined with Ref_Calendar.Calendar_Date # Documents_to_be_Destroyed.Planned_Destruction_Date can be joined with Ref_Calendar.Calendar_Date # Documents_to_be_Destroyed.Destruction_Authorised_by_Employee_ID can be joined with Employees.Employee_ID # Documents_to_be_Destroyed.Destroyed_by_Employee_ID can be joined with Employees.Employee_ID # ### Question: # # What are all the document type codes and document type names? # ### SQL: # # SELECT document_type_code , document_type_name FROM Ref_document_types # ### End.
cre_Doc_Tracking_DB	### Complete SQL query only and with no explanation ### SQL tables followed by foreign key information: # # Ref_Document_Types ( Document_Type_Code, Document_Type_Name, Document_Type_Description ) # Ref_Calendar ( Calendar_Date, Day_Number ) # Ref_Locations ( Location_Code, Location_Name, Location_Description ) # Roles ( Role_Code, Role_Name, Role_Description ) # All_Documents ( Document_ID, Date_Stored, Document_Type_Code, Document_Name, Document_Description, Other_Details ) # Employees ( Employee_ID, Role_Code, Employee_Name, Gender_MFU, Date_of_Birth, Other_Details ) # Document_Locations ( Document_ID, Location_Code, Date_in_Location_From, Date_in_Locaton_To ) # Documents_to_be_Destroyed ( Document_ID, Destruction_Authorised_by_Employee_ID, Destroyed_by_Employee_ID, Planned_Destruction_Date, Actual_Destruction_Date, Other_Details ) # # All_Documents.Date_Stored can be joined with Ref_Calendar.Calendar_Date # All_Documents.Document_Type_Code can be joined with Ref_Document_Types.Document_Type_Code # Employees.Role_Code can be joined with Roles.Role_Code # Document_Locations.Document_ID can be joined with All_Documents.Document_ID # Document_Locations.Date_in_Locaton_To can be joined with Ref_Calendar.Calendar_Date # Document_Locations.Date_in_Location_From can be joined with Ref_Calendar.Calendar_Date # Document_Locations.Location_Code can be joined with Ref_Locations.Location_Code # Documents_to_be_Destroyed.Document_ID can be joined with All_Documents.Document_ID # Documents_to_be_Destroyed.Actual_Destruction_Date can be joined with Ref_Calendar.Calendar_Date # Documents_to_be_Destroyed.Planned_Destruction_Date can be joined with Ref_Calendar.Calendar_Date # Documents_to_be_Destroyed.Destruction_Authorised_by_Employee_ID can be joined with Employees.Employee_ID # Documents_to_be_Destroyed.Destroyed_by_Employee_ID can be joined with Employees.Employee_ID # ### Question: # # What is the name and description for document type code RV? # ### SQL: # # SELECT document_type_name , document_type_description FROM Ref_document_types WHERE document_type_code = "RV" # ### End.
cre_Doc_Tracking_DB	### Complete SQL query only and with no explanation ### SQL tables followed by foreign key information: # # Ref_Document_Types ( Document_Type_Code, Document_Type_Name, Document_Type_Description ) # Ref_Calendar ( Calendar_Date, Day_Number ) # Ref_Locations ( Location_Code, Location_Name, Location_Description ) # Roles ( Role_Code, Role_Name, Role_Description ) # All_Documents ( Document_ID, Date_Stored, Document_Type_Code, Document_Name, Document_Description, Other_Details ) # Employees ( Employee_ID, Role_Code, Employee_Name, Gender_MFU, Date_of_Birth, Other_Details ) # Document_Locations ( Document_ID, Location_Code, Date_in_Location_From, Date_in_Locaton_To ) # Documents_to_be_Destroyed ( Document_ID, Destruction_Authorised_by_Employee_ID, Destroyed_by_Employee_ID, Planned_Destruction_Date, Actual_Destruction_Date, Other_Details ) # # All_Documents.Date_Stored can be joined with Ref_Calendar.Calendar_Date # All_Documents.Document_Type_Code can be joined with Ref_Document_Types.Document_Type_Code # Employees.Role_Code can be joined with Roles.Role_Code # Document_Locations.Document_ID can be joined with All_Documents.Document_ID # Document_Locations.Date_in_Locaton_To can be joined with Ref_Calendar.Calendar_Date # Document_Locations.Date_in_Location_From can be joined with Ref_Calendar.Calendar_Date # Document_Locations.Location_Code can be joined with Ref_Locations.Location_Code # Documents_to_be_Destroyed.Document_ID can be joined with All_Documents.Document_ID # Documents_to_be_Destroyed.Actual_Destruction_Date can be joined with Ref_Calendar.Calendar_Date # Documents_to_be_Destroyed.Planned_Destruction_Date can be joined with Ref_Calendar.Calendar_Date # Documents_to_be_Destroyed.Destruction_Authorised_by_Employee_ID can be joined with Employees.Employee_ID # Documents_to_be_Destroyed.Destroyed_by_Employee_ID can be joined with Employees.Employee_ID # ### Question: # # Give me the name and description of the document type code RV. # ### SQL: # # SELECT document_type_name , document_type_description FROM Ref_document_types WHERE document_type_code = "RV" # ### End.
cre_Doc_Tracking_DB	### Complete SQL query only and with no explanation ### SQL tables followed by foreign key information: # # Ref_Document_Types ( Document_Type_Code, Document_Type_Name, Document_Type_Description ) # Ref_Calendar ( Calendar_Date, Day_Number ) # Ref_Locations ( Location_Code, Location_Name, Location_Description ) # Roles ( Role_Code, Role_Name, Role_Description ) # All_Documents ( Document_ID, Date_Stored, Document_Type_Code, Document_Name, Document_Description, Other_Details ) # Employees ( Employee_ID, Role_Code, Employee_Name, Gender_MFU, Date_of_Birth, Other_Details ) # Document_Locations ( Document_ID, Location_Code, Date_in_Location_From, Date_in_Locaton_To ) # Documents_to_be_Destroyed ( Document_ID, Destruction_Authorised_by_Employee_ID, Destroyed_by_Employee_ID, Planned_Destruction_Date, Actual_Destruction_Date, Other_Details ) # # All_Documents.Date_Stored can be joined with Ref_Calendar.Calendar_Date # All_Documents.Document_Type_Code can be joined with Ref_Document_Types.Document_Type_Code # Employees.Role_Code can be joined with Roles.Role_Code # Document_Locations.Document_ID can be joined with All_Documents.Document_ID # Document_Locations.Date_in_Locaton_To can be joined with Ref_Calendar.Calendar_Date # Document_Locations.Date_in_Location_From can be joined with Ref_Calendar.Calendar_Date # Document_Locations.Location_Code can be joined with Ref_Locations.Location_Code # Documents_to_be_Destroyed.Document_ID can be joined with All_Documents.Document_ID # Documents_to_be_Destroyed.Actual_Destruction_Date can be joined with Ref_Calendar.Calendar_Date # Documents_to_be_Destroyed.Planned_Destruction_Date can be joined with Ref_Calendar.Calendar_Date # Documents_to_be_Destroyed.Destruction_Authorised_by_Employee_ID can be joined with Employees.Employee_ID # Documents_to_be_Destroyed.Destroyed_by_Employee_ID can be joined with Employees.Employee_ID # ### Question: # # What is the document type code for document type "Paper"? # ### SQL: # # SELECT document_type_code FROM Ref_document_types WHERE document_type_name = "Paper" # ### End.
cre_Doc_Tracking_DB	### Complete SQL query only and with no explanation ### SQL tables followed by foreign key information: # # Ref_Document_Types ( Document_Type_Code, Document_Type_Name, Document_Type_Description ) # Ref_Calendar ( Calendar_Date, Day_Number ) # Ref_Locations ( Location_Code, Location_Name, Location_Description ) # Roles ( Role_Code, Role_Name, Role_Description ) # All_Documents ( Document_ID, Date_Stored, Document_Type_Code, Document_Name, Document_Description, Other_Details ) # Employees ( Employee_ID, Role_Code, Employee_Name, Gender_MFU, Date_of_Birth, Other_Details ) # Document_Locations ( Document_ID, Location_Code, Date_in_Location_From, Date_in_Locaton_To ) # Documents_to_be_Destroyed ( Document_ID, Destruction_Authorised_by_Employee_ID, Destroyed_by_Employee_ID, Planned_Destruction_Date, Actual_Destruction_Date, Other_Details ) # # All_Documents.Date_Stored can be joined with Ref_Calendar.Calendar_Date # All_Documents.Document_Type_Code can be joined with Ref_Document_Types.Document_Type_Code # Employees.Role_Code can be joined with Roles.Role_Code # Document_Locations.Document_ID can be joined with All_Documents.Document_ID # Document_Locations.Date_in_Locaton_To can be joined with Ref_Calendar.Calendar_Date # Document_Locations.Date_in_Location_From can be joined with Ref_Calendar.Calendar_Date # Document_Locations.Location_Code can be joined with Ref_Locations.Location_Code # Documents_to_be_Destroyed.Document_ID can be joined with All_Documents.Document_ID # Documents_to_be_Destroyed.Actual_Destruction_Date can be joined with Ref_Calendar.Calendar_Date # Documents_to_be_Destroyed.Planned_Destruction_Date can be joined with Ref_Calendar.Calendar_Date # Documents_to_be_Destroyed.Destruction_Authorised_by_Employee_ID can be joined with Employees.Employee_ID # Documents_to_be_Destroyed.Destroyed_by_Employee_ID can be joined with Employees.Employee_ID # ### Question: # # Find the code of the document type "Paper". # ### SQL: # # SELECT document_type_code FROM Ref_document_types WHERE document_type_name = "Paper" # ### End.
cre_Doc_Tracking_DB	### Complete SQL query only and with no explanation ### SQL tables followed by foreign key information: # # Ref_Document_Types ( Document_Type_Code, Document_Type_Name, Document_Type_Description ) # Ref_Calendar ( Calendar_Date, Day_Number ) # Ref_Locations ( Location_Code, Location_Name, Location_Description ) # Roles ( Role_Code, Role_Name, Role_Description ) # All_Documents ( Document_ID, Date_Stored, Document_Type_Code, Document_Name, Document_Description, Other_Details ) # Employees ( Employee_ID, Role_Code, Employee_Name, Gender_MFU, Date_of_Birth, Other_Details ) # Document_Locations ( Document_ID, Location_Code, Date_in_Location_From, Date_in_Locaton_To ) # Documents_to_be_Destroyed ( Document_ID, Destruction_Authorised_by_Employee_ID, Destroyed_by_Employee_ID, Planned_Destruction_Date, Actual_Destruction_Date, Other_Details ) # # All_Documents.Date_Stored can be joined with Ref_Calendar.Calendar_Date # All_Documents.Document_Type_Code can be joined with Ref_Document_Types.Document_Type_Code # Employees.Role_Code can be joined with Roles.Role_Code # Document_Locations.Document_ID can be joined with All_Documents.Document_ID # Document_Locations.Date_in_Locaton_To can be joined with Ref_Calendar.Calendar_Date # Document_Locations.Date_in_Location_From can be joined with Ref_Calendar.Calendar_Date # Document_Locations.Location_Code can be joined with Ref_Locations.Location_Code # Documents_to_be_Destroyed.Document_ID can be joined with All_Documents.Document_ID # Documents_to_be_Destroyed.Actual_Destruction_Date can be joined with Ref_Calendar.Calendar_Date # Documents_to_be_Destroyed.Planned_Destruction_Date can be joined with Ref_Calendar.Calendar_Date # Documents_to_be_Destroyed.Destruction_Authorised_by_Employee_ID can be joined with Employees.Employee_ID # Documents_to_be_Destroyed.Destroyed_by_Employee_ID can be joined with Employees.Employee_ID # ### Question: # # Show the number of documents with document type code CV or BK. # ### SQL: # # SELECT count(*) FROM All_documents WHERE document_type_code = "CV" OR document_type_code = "BK" # ### End.
cre_Doc_Tracking_DB	### Complete SQL query only and with no explanation ### SQL tables followed by foreign key information: # # Ref_Document_Types ( Document_Type_Code, Document_Type_Name, Document_Type_Description ) # Ref_Calendar ( Calendar_Date, Day_Number ) # Ref_Locations ( Location_Code, Location_Name, Location_Description ) # Roles ( Role_Code, Role_Name, Role_Description ) # All_Documents ( Document_ID, Date_Stored, Document_Type_Code, Document_Name, Document_Description, Other_Details ) # Employees ( Employee_ID, Role_Code, Employee_Name, Gender_MFU, Date_of_Birth, Other_Details ) # Document_Locations ( Document_ID, Location_Code, Date_in_Location_From, Date_in_Locaton_To ) # Documents_to_be_Destroyed ( Document_ID, Destruction_Authorised_by_Employee_ID, Destroyed_by_Employee_ID, Planned_Destruction_Date, Actual_Destruction_Date, Other_Details ) # # All_Documents.Date_Stored can be joined with Ref_Calendar.Calendar_Date # All_Documents.Document_Type_Code can be joined with Ref_Document_Types.Document_Type_Code # Employees.Role_Code can be joined with Roles.Role_Code # Document_Locations.Document_ID can be joined with All_Documents.Document_ID # Document_Locations.Date_in_Locaton_To can be joined with Ref_Calendar.Calendar_Date # Document_Locations.Date_in_Location_From can be joined with Ref_Calendar.Calendar_Date # Document_Locations.Location_Code can be joined with Ref_Locations.Location_Code # Documents_to_be_Destroyed.Document_ID can be joined with All_Documents.Document_ID # Documents_to_be_Destroyed.Actual_Destruction_Date can be joined with Ref_Calendar.Calendar_Date # Documents_to_be_Destroyed.Planned_Destruction_Date can be joined with Ref_Calendar.Calendar_Date # Documents_to_be_Destroyed.Destruction_Authorised_by_Employee_ID can be joined with Employees.Employee_ID # Documents_to_be_Destroyed.Destroyed_by_Employee_ID can be joined with Employees.Employee_ID # ### Question: # # How many documents have document type code CV or BK? # ### SQL: # # SELECT count(*) FROM All_documents WHERE document_type_code = "CV" OR document_type_code = "BK" # ### End.
cre_Doc_Tracking_DB	### Complete SQL query only and with no explanation ### SQL tables followed by foreign key information: # # Ref_Document_Types ( Document_Type_Code, Document_Type_Name, Document_Type_Description ) # Ref_Calendar ( Calendar_Date, Day_Number ) # Ref_Locations ( Location_Code, Location_Name, Location_Description ) # Roles ( Role_Code, Role_Name, Role_Description ) # All_Documents ( Document_ID, Date_Stored, Document_Type_Code, Document_Name, Document_Description, Other_Details ) # Employees ( Employee_ID, Role_Code, Employee_Name, Gender_MFU, Date_of_Birth, Other_Details ) # Document_Locations ( Document_ID, Location_Code, Date_in_Location_From, Date_in_Locaton_To ) # Documents_to_be_Destroyed ( Document_ID, Destruction_Authorised_by_Employee_ID, Destroyed_by_Employee_ID, Planned_Destruction_Date, Actual_Destruction_Date, Other_Details ) # # All_Documents.Date_Stored can be joined with Ref_Calendar.Calendar_Date # All_Documents.Document_Type_Code can be joined with Ref_Document_Types.Document_Type_Code # Employees.Role_Code can be joined with Roles.Role_Code # Document_Locations.Document_ID can be joined with All_Documents.Document_ID # Document_Locations.Date_in_Locaton_To can be joined with Ref_Calendar.Calendar_Date # Document_Locations.Date_in_Location_From can be joined with Ref_Calendar.Calendar_Date # Document_Locations.Location_Code can be joined with Ref_Locations.Location_Code # Documents_to_be_Destroyed.Document_ID can be joined with All_Documents.Document_ID # Documents_to_be_Destroyed.Actual_Destruction_Date can be joined with Ref_Calendar.Calendar_Date # Documents_to_be_Destroyed.Planned_Destruction_Date can be joined with Ref_Calendar.Calendar_Date # Documents_to_be_Destroyed.Destruction_Authorised_by_Employee_ID can be joined with Employees.Employee_ID # Documents_to_be_Destroyed.Destroyed_by_Employee_ID can be joined with Employees.Employee_ID # ### Question: # # What is the date when the document "Marry CV" was stored? # ### SQL: # # SELECT date_stored FROM All_documents WHERE Document_name = "Marry CV" # ### End.
cre_Doc_Tracking_DB	### Complete SQL query only and with no explanation ### SQL tables followed by foreign key information: # # Ref_Document_Types ( Document_Type_Code, Document_Type_Name, Document_Type_Description ) # Ref_Calendar ( Calendar_Date, Day_Number ) # Ref_Locations ( Location_Code, Location_Name, Location_Description ) # Roles ( Role_Code, Role_Name, Role_Description ) # All_Documents ( Document_ID, Date_Stored, Document_Type_Code, Document_Name, Document_Description, Other_Details ) # Employees ( Employee_ID, Role_Code, Employee_Name, Gender_MFU, Date_of_Birth, Other_Details ) # Document_Locations ( Document_ID, Location_Code, Date_in_Location_From, Date_in_Locaton_To ) # Documents_to_be_Destroyed ( Document_ID, Destruction_Authorised_by_Employee_ID, Destroyed_by_Employee_ID, Planned_Destruction_Date, Actual_Destruction_Date, Other_Details ) # # All_Documents.Date_Stored can be joined with Ref_Calendar.Calendar_Date # All_Documents.Document_Type_Code can be joined with Ref_Document_Types.Document_Type_Code # Employees.Role_Code can be joined with Roles.Role_Code # Document_Locations.Document_ID can be joined with All_Documents.Document_ID # Document_Locations.Date_in_Locaton_To can be joined with Ref_Calendar.Calendar_Date # Document_Locations.Date_in_Location_From can be joined with Ref_Calendar.Calendar_Date # Document_Locations.Location_Code can be joined with Ref_Locations.Location_Code # Documents_to_be_Destroyed.Document_ID can be joined with All_Documents.Document_ID # Documents_to_be_Destroyed.Actual_Destruction_Date can be joined with Ref_Calendar.Calendar_Date # Documents_to_be_Destroyed.Planned_Destruction_Date can be joined with Ref_Calendar.Calendar_Date # Documents_to_be_Destroyed.Destruction_Authorised_by_Employee_ID can be joined with Employees.Employee_ID # Documents_to_be_Destroyed.Destroyed_by_Employee_ID can be joined with Employees.Employee_ID # ### Question: # # When was the document named "Marry CV" stored? Give me the date. # ### SQL: # # SELECT date_stored FROM All_documents WHERE Document_name = "Marry CV" # ### End.
cre_Doc_Tracking_DB	### Complete SQL query only and with no explanation ### SQL tables followed by foreign key information: # # Ref_Document_Types ( Document_Type_Code, Document_Type_Name, Document_Type_Description ) # Ref_Calendar ( Calendar_Date, Day_Number ) # Ref_Locations ( Location_Code, Location_Name, Location_Description ) # Roles ( Role_Code, Role_Name, Role_Description ) # All_Documents ( Document_ID, Date_Stored, Document_Type_Code, Document_Name, Document_Description, Other_Details ) # Employees ( Employee_ID, Role_Code, Employee_Name, Gender_MFU, Date_of_Birth, Other_Details ) # Document_Locations ( Document_ID, Location_Code, Date_in_Location_From, Date_in_Locaton_To ) # Documents_to_be_Destroyed ( Document_ID, Destruction_Authorised_by_Employee_ID, Destroyed_by_Employee_ID, Planned_Destruction_Date, Actual_Destruction_Date, Other_Details ) # # All_Documents.Date_Stored can be joined with Ref_Calendar.Calendar_Date # All_Documents.Document_Type_Code can be joined with Ref_Document_Types.Document_Type_Code # Employees.Role_Code can be joined with Roles.Role_Code # Document_Locations.Document_ID can be joined with All_Documents.Document_ID # Document_Locations.Date_in_Locaton_To can be joined with Ref_Calendar.Calendar_Date # Document_Locations.Date_in_Location_From can be joined with Ref_Calendar.Calendar_Date # Document_Locations.Location_Code can be joined with Ref_Locations.Location_Code # Documents_to_be_Destroyed.Document_ID can be joined with All_Documents.Document_ID # Documents_to_be_Destroyed.Actual_Destruction_Date can be joined with Ref_Calendar.Calendar_Date # Documents_to_be_Destroyed.Planned_Destruction_Date can be joined with Ref_Calendar.Calendar_Date # Documents_to_be_Destroyed.Destruction_Authorised_by_Employee_ID can be joined with Employees.Employee_ID # Documents_to_be_Destroyed.Destroyed_by_Employee_ID can be joined with Employees.Employee_ID # ### Question: # # What is the day Number and date of all the documents? # ### SQL: # # SELECT T2.day_Number , T1.Date_Stored FROM All_documents AS T1 JOIN Ref_calendar AS T2 ON T1.date_stored = T2.calendar_date # ### End.
cre_Doc_Tracking_DB	### Complete SQL query only and with no explanation ### SQL tables followed by foreign key information: # # Ref_Document_Types ( Document_Type_Code, Document_Type_Name, Document_Type_Description ) # Ref_Calendar ( Calendar_Date, Day_Number ) # Ref_Locations ( Location_Code, Location_Name, Location_Description ) # Roles ( Role_Code, Role_Name, Role_Description ) # All_Documents ( Document_ID, Date_Stored, Document_Type_Code, Document_Name, Document_Description, Other_Details ) # Employees ( Employee_ID, Role_Code, Employee_Name, Gender_MFU, Date_of_Birth, Other_Details ) # Document_Locations ( Document_ID, Location_Code, Date_in_Location_From, Date_in_Locaton_To ) # Documents_to_be_Destroyed ( Document_ID, Destruction_Authorised_by_Employee_ID, Destroyed_by_Employee_ID, Planned_Destruction_Date, Actual_Destruction_Date, Other_Details ) # # All_Documents.Date_Stored can be joined with Ref_Calendar.Calendar_Date # All_Documents.Document_Type_Code can be joined with Ref_Document_Types.Document_Type_Code # Employees.Role_Code can be joined with Roles.Role_Code # Document_Locations.Document_ID can be joined with All_Documents.Document_ID # Document_Locations.Date_in_Locaton_To can be joined with Ref_Calendar.Calendar_Date # Document_Locations.Date_in_Location_From can be joined with Ref_Calendar.Calendar_Date # Document_Locations.Location_Code can be joined with Ref_Locations.Location_Code # Documents_to_be_Destroyed.Document_ID can be joined with All_Documents.Document_ID # Documents_to_be_Destroyed.Actual_Destruction_Date can be joined with Ref_Calendar.Calendar_Date # Documents_to_be_Destroyed.Planned_Destruction_Date can be joined with Ref_Calendar.Calendar_Date # Documents_to_be_Destroyed.Destruction_Authorised_by_Employee_ID can be joined with Employees.Employee_ID # Documents_to_be_Destroyed.Destroyed_by_Employee_ID can be joined with Employees.Employee_ID # ### Question: # # Return the day Number and stored date for all the documents. # ### SQL: # # SELECT T2.day_Number , T1.Date_Stored FROM All_documents AS T1 JOIN Ref_calendar AS T2 ON T1.date_stored = T2.calendar_date # ### End.
cre_Doc_Tracking_DB	### Complete SQL query only and with no explanation ### SQL tables followed by foreign key information: # # Ref_Document_Types ( Document_Type_Code, Document_Type_Name, Document_Type_Description ) # Ref_Calendar ( Calendar_Date, Day_Number ) # Ref_Locations ( Location_Code, Location_Name, Location_Description ) # Roles ( Role_Code, Role_Name, Role_Description ) # All_Documents ( Document_ID, Date_Stored, Document_Type_Code, Document_Name, Document_Description, Other_Details ) # Employees ( Employee_ID, Role_Code, Employee_Name, Gender_MFU, Date_of_Birth, Other_Details ) # Document_Locations ( Document_ID, Location_Code, Date_in_Location_From, Date_in_Locaton_To ) # Documents_to_be_Destroyed ( Document_ID, Destruction_Authorised_by_Employee_ID, Destroyed_by_Employee_ID, Planned_Destruction_Date, Actual_Destruction_Date, Other_Details ) # # All_Documents.Date_Stored can be joined with Ref_Calendar.Calendar_Date # All_Documents.Document_Type_Code can be joined with Ref_Document_Types.Document_Type_Code # Employees.Role_Code can be joined with Roles.Role_Code # Document_Locations.Document_ID can be joined with All_Documents.Document_ID # Document_Locations.Date_in_Locaton_To can be joined with Ref_Calendar.Calendar_Date # Document_Locations.Date_in_Location_From can be joined with Ref_Calendar.Calendar_Date # Document_Locations.Location_Code can be joined with Ref_Locations.Location_Code # Documents_to_be_Destroyed.Document_ID can be joined with All_Documents.Document_ID # Documents_to_be_Destroyed.Actual_Destruction_Date can be joined with Ref_Calendar.Calendar_Date # Documents_to_be_Destroyed.Planned_Destruction_Date can be joined with Ref_Calendar.Calendar_Date # Documents_to_be_Destroyed.Destruction_Authorised_by_Employee_ID can be joined with Employees.Employee_ID # Documents_to_be_Destroyed.Destroyed_by_Employee_ID can be joined with Employees.Employee_ID # ### Question: # # What is the document type name for the document with name "How to read a book"? # ### SQL: # # SELECT T2.document_type_name FROM All_documents AS T1 JOIN Ref_document_types AS T2 ON T1.document_type_code = T2.document_type_code WHERE T1.document_name = "How to read a book" # ### End.
cre_Doc_Tracking_DB	### Complete SQL query only and with no explanation ### SQL tables followed by foreign key information: # # Ref_Document_Types ( Document_Type_Code, Document_Type_Name, Document_Type_Description ) # Ref_Calendar ( Calendar_Date, Day_Number ) # Ref_Locations ( Location_Code, Location_Name, Location_Description ) # Roles ( Role_Code, Role_Name, Role_Description ) # All_Documents ( Document_ID, Date_Stored, Document_Type_Code, Document_Name, Document_Description, Other_Details ) # Employees ( Employee_ID, Role_Code, Employee_Name, Gender_MFU, Date_of_Birth, Other_Details ) # Document_Locations ( Document_ID, Location_Code, Date_in_Location_From, Date_in_Locaton_To ) # Documents_to_be_Destroyed ( Document_ID, Destruction_Authorised_by_Employee_ID, Destroyed_by_Employee_ID, Planned_Destruction_Date, Actual_Destruction_Date, Other_Details ) # # All_Documents.Date_Stored can be joined with Ref_Calendar.Calendar_Date # All_Documents.Document_Type_Code can be joined with Ref_Document_Types.Document_Type_Code # Employees.Role_Code can be joined with Roles.Role_Code # Document_Locations.Document_ID can be joined with All_Documents.Document_ID # Document_Locations.Date_in_Locaton_To can be joined with Ref_Calendar.Calendar_Date # Document_Locations.Date_in_Location_From can be joined with Ref_Calendar.Calendar_Date # Document_Locations.Location_Code can be joined with Ref_Locations.Location_Code # Documents_to_be_Destroyed.Document_ID can be joined with All_Documents.Document_ID # Documents_to_be_Destroyed.Actual_Destruction_Date can be joined with Ref_Calendar.Calendar_Date # Documents_to_be_Destroyed.Planned_Destruction_Date can be joined with Ref_Calendar.Calendar_Date # Documents_to_be_Destroyed.Destruction_Authorised_by_Employee_ID can be joined with Employees.Employee_ID # Documents_to_be_Destroyed.Destroyed_by_Employee_ID can be joined with Employees.Employee_ID # ### Question: # # Find the document type name of the document named "How to read a book". # ### SQL: # # SELECT T2.document_type_name FROM All_documents AS T1 JOIN Ref_document_types AS T2 ON T1.document_type_code = T2.document_type_code WHERE T1.document_name = "How to read a book" # ### End.
cre_Doc_Tracking_DB	### Complete SQL query only and with no explanation ### SQL tables followed by foreign key information: # # Ref_Document_Types ( Document_Type_Code, Document_Type_Name, Document_Type_Description ) # Ref_Calendar ( Calendar_Date, Day_Number ) # Ref_Locations ( Location_Code, Location_Name, Location_Description ) # Roles ( Role_Code, Role_Name, Role_Description ) # All_Documents ( Document_ID, Date_Stored, Document_Type_Code, Document_Name, Document_Description, Other_Details ) # Employees ( Employee_ID, Role_Code, Employee_Name, Gender_MFU, Date_of_Birth, Other_Details ) # Document_Locations ( Document_ID, Location_Code, Date_in_Location_From, Date_in_Locaton_To ) # Documents_to_be_Destroyed ( Document_ID, Destruction_Authorised_by_Employee_ID, Destroyed_by_Employee_ID, Planned_Destruction_Date, Actual_Destruction_Date, Other_Details ) # # All_Documents.Date_Stored can be joined with Ref_Calendar.Calendar_Date # All_Documents.Document_Type_Code can be joined with Ref_Document_Types.Document_Type_Code # Employees.Role_Code can be joined with Roles.Role_Code # Document_Locations.Document_ID can be joined with All_Documents.Document_ID # Document_Locations.Date_in_Locaton_To can be joined with Ref_Calendar.Calendar_Date # Document_Locations.Date_in_Location_From can be joined with Ref_Calendar.Calendar_Date # Document_Locations.Location_Code can be joined with Ref_Locations.Location_Code # Documents_to_be_Destroyed.Document_ID can be joined with All_Documents.Document_ID # Documents_to_be_Destroyed.Actual_Destruction_Date can be joined with Ref_Calendar.Calendar_Date # Documents_to_be_Destroyed.Planned_Destruction_Date can be joined with Ref_Calendar.Calendar_Date # Documents_to_be_Destroyed.Destruction_Authorised_by_Employee_ID can be joined with Employees.Employee_ID # Documents_to_be_Destroyed.Destroyed_by_Employee_ID can be joined with Employees.Employee_ID # ### Question: # # Show the number of locations. # ### SQL: # # SELECT count(*) FROM Ref_locations # ### End.
cre_Doc_Tracking_DB	### Complete SQL query only and with no explanation ### SQL tables followed by foreign key information: # # Ref_Document_Types ( Document_Type_Code, Document_Type_Name, Document_Type_Description ) # Ref_Calendar ( Calendar_Date, Day_Number ) # Ref_Locations ( Location_Code, Location_Name, Location_Description ) # Roles ( Role_Code, Role_Name, Role_Description ) # All_Documents ( Document_ID, Date_Stored, Document_Type_Code, Document_Name, Document_Description, Other_Details ) # Employees ( Employee_ID, Role_Code, Employee_Name, Gender_MFU, Date_of_Birth, Other_Details ) # Document_Locations ( Document_ID, Location_Code, Date_in_Location_From, Date_in_Locaton_To ) # Documents_to_be_Destroyed ( Document_ID, Destruction_Authorised_by_Employee_ID, Destroyed_by_Employee_ID, Planned_Destruction_Date, Actual_Destruction_Date, Other_Details ) # # All_Documents.Date_Stored can be joined with Ref_Calendar.Calendar_Date # All_Documents.Document_Type_Code can be joined with Ref_Document_Types.Document_Type_Code # Employees.Role_Code can be joined with Roles.Role_Code # Document_Locations.Document_ID can be joined with All_Documents.Document_ID # Document_Locations.Date_in_Locaton_To can be joined with Ref_Calendar.Calendar_Date # Document_Locations.Date_in_Location_From can be joined with Ref_Calendar.Calendar_Date # Document_Locations.Location_Code can be joined with Ref_Locations.Location_Code # Documents_to_be_Destroyed.Document_ID can be joined with All_Documents.Document_ID # Documents_to_be_Destroyed.Actual_Destruction_Date can be joined with Ref_Calendar.Calendar_Date # Documents_to_be_Destroyed.Planned_Destruction_Date can be joined with Ref_Calendar.Calendar_Date # Documents_to_be_Destroyed.Destruction_Authorised_by_Employee_ID can be joined with Employees.Employee_ID # Documents_to_be_Destroyed.Destroyed_by_Employee_ID can be joined with Employees.Employee_ID # ### Question: # # How many locations are listed in the database? # ### SQL: # # SELECT count(*) FROM Ref_locations # ### End.
cre_Doc_Tracking_DB	### Complete SQL query only and with no explanation ### SQL tables followed by foreign key information: # # Ref_Document_Types ( Document_Type_Code, Document_Type_Name, Document_Type_Description ) # Ref_Calendar ( Calendar_Date, Day_Number ) # Ref_Locations ( Location_Code, Location_Name, Location_Description ) # Roles ( Role_Code, Role_Name, Role_Description ) # All_Documents ( Document_ID, Date_Stored, Document_Type_Code, Document_Name, Document_Description, Other_Details ) # Employees ( Employee_ID, Role_Code, Employee_Name, Gender_MFU, Date_of_Birth, Other_Details ) # Document_Locations ( Document_ID, Location_Code, Date_in_Location_From, Date_in_Locaton_To ) # Documents_to_be_Destroyed ( Document_ID, Destruction_Authorised_by_Employee_ID, Destroyed_by_Employee_ID, Planned_Destruction_Date, Actual_Destruction_Date, Other_Details ) # # All_Documents.Date_Stored can be joined with Ref_Calendar.Calendar_Date # All_Documents.Document_Type_Code can be joined with Ref_Document_Types.Document_Type_Code # Employees.Role_Code can be joined with Roles.Role_Code # Document_Locations.Document_ID can be joined with All_Documents.Document_ID # Document_Locations.Date_in_Locaton_To can be joined with Ref_Calendar.Calendar_Date # Document_Locations.Date_in_Location_From can be joined with Ref_Calendar.Calendar_Date # Document_Locations.Location_Code can be joined with Ref_Locations.Location_Code # Documents_to_be_Destroyed.Document_ID can be joined with All_Documents.Document_ID # Documents_to_be_Destroyed.Actual_Destruction_Date can be joined with Ref_Calendar.Calendar_Date # Documents_to_be_Destroyed.Planned_Destruction_Date can be joined with Ref_Calendar.Calendar_Date # Documents_to_be_Destroyed.Destruction_Authorised_by_Employee_ID can be joined with Employees.Employee_ID # Documents_to_be_Destroyed.Destroyed_by_Employee_ID can be joined with Employees.Employee_ID # ### Question: # # List all location codes and location names. # ### SQL: # # SELECT location_code , location_name FROM Ref_locations # ### End.
cre_Doc_Tracking_DB	### Complete SQL query only and with no explanation ### SQL tables followed by foreign key information: # # Ref_Document_Types ( Document_Type_Code, Document_Type_Name, Document_Type_Description ) # Ref_Calendar ( Calendar_Date, Day_Number ) # Ref_Locations ( Location_Code, Location_Name, Location_Description ) # Roles ( Role_Code, Role_Name, Role_Description ) # All_Documents ( Document_ID, Date_Stored, Document_Type_Code, Document_Name, Document_Description, Other_Details ) # Employees ( Employee_ID, Role_Code, Employee_Name, Gender_MFU, Date_of_Birth, Other_Details ) # Document_Locations ( Document_ID, Location_Code, Date_in_Location_From, Date_in_Locaton_To ) # Documents_to_be_Destroyed ( Document_ID, Destruction_Authorised_by_Employee_ID, Destroyed_by_Employee_ID, Planned_Destruction_Date, Actual_Destruction_Date, Other_Details ) # # All_Documents.Date_Stored can be joined with Ref_Calendar.Calendar_Date # All_Documents.Document_Type_Code can be joined with Ref_Document_Types.Document_Type_Code # Employees.Role_Code can be joined with Roles.Role_Code # Document_Locations.Document_ID can be joined with All_Documents.Document_ID # Document_Locations.Date_in_Locaton_To can be joined with Ref_Calendar.Calendar_Date # Document_Locations.Date_in_Location_From can be joined with Ref_Calendar.Calendar_Date # Document_Locations.Location_Code can be joined with Ref_Locations.Location_Code # Documents_to_be_Destroyed.Document_ID can be joined with All_Documents.Document_ID # Documents_to_be_Destroyed.Actual_Destruction_Date can be joined with Ref_Calendar.Calendar_Date # Documents_to_be_Destroyed.Planned_Destruction_Date can be joined with Ref_Calendar.Calendar_Date # Documents_to_be_Destroyed.Destruction_Authorised_by_Employee_ID can be joined with Employees.Employee_ID # Documents_to_be_Destroyed.Destroyed_by_Employee_ID can be joined with Employees.Employee_ID # ### Question: # # What are all the location codes and location names? # ### SQL: # # SELECT location_code , location_name FROM Ref_locations # ### End.
cre_Doc_Tracking_DB	### Complete SQL query only and with no explanation ### SQL tables followed by foreign key information: # # Ref_Document_Types ( Document_Type_Code, Document_Type_Name, Document_Type_Description ) # Ref_Calendar ( Calendar_Date, Day_Number ) # Ref_Locations ( Location_Code, Location_Name, Location_Description ) # Roles ( Role_Code, Role_Name, Role_Description ) # All_Documents ( Document_ID, Date_Stored, Document_Type_Code, Document_Name, Document_Description, Other_Details ) # Employees ( Employee_ID, Role_Code, Employee_Name, Gender_MFU, Date_of_Birth, Other_Details ) # Document_Locations ( Document_ID, Location_Code, Date_in_Location_From, Date_in_Locaton_To ) # Documents_to_be_Destroyed ( Document_ID, Destruction_Authorised_by_Employee_ID, Destroyed_by_Employee_ID, Planned_Destruction_Date, Actual_Destruction_Date, Other_Details ) # # All_Documents.Date_Stored can be joined with Ref_Calendar.Calendar_Date # All_Documents.Document_Type_Code can be joined with Ref_Document_Types.Document_Type_Code # Employees.Role_Code can be joined with Roles.Role_Code # Document_Locations.Document_ID can be joined with All_Documents.Document_ID # Document_Locations.Date_in_Locaton_To can be joined with Ref_Calendar.Calendar_Date # Document_Locations.Date_in_Location_From can be joined with Ref_Calendar.Calendar_Date # Document_Locations.Location_Code can be joined with Ref_Locations.Location_Code # Documents_to_be_Destroyed.Document_ID can be joined with All_Documents.Document_ID # Documents_to_be_Destroyed.Actual_Destruction_Date can be joined with Ref_Calendar.Calendar_Date # Documents_to_be_Destroyed.Planned_Destruction_Date can be joined with Ref_Calendar.Calendar_Date # Documents_to_be_Destroyed.Destruction_Authorised_by_Employee_ID can be joined with Employees.Employee_ID # Documents_to_be_Destroyed.Destroyed_by_Employee_ID can be joined with Employees.Employee_ID # ### Question: # # What are the name and description for location code x? # ### SQL: # # SELECT location_name , location_description FROM Ref_locations WHERE location_code = "x" # ### End.
cre_Doc_Tracking_DB	### Complete SQL query only and with no explanation ### SQL tables followed by foreign key information: # # Ref_Document_Types ( Document_Type_Code, Document_Type_Name, Document_Type_Description ) # Ref_Calendar ( Calendar_Date, Day_Number ) # Ref_Locations ( Location_Code, Location_Name, Location_Description ) # Roles ( Role_Code, Role_Name, Role_Description ) # All_Documents ( Document_ID, Date_Stored, Document_Type_Code, Document_Name, Document_Description, Other_Details ) # Employees ( Employee_ID, Role_Code, Employee_Name, Gender_MFU, Date_of_Birth, Other_Details ) # Document_Locations ( Document_ID, Location_Code, Date_in_Location_From, Date_in_Locaton_To ) # Documents_to_be_Destroyed ( Document_ID, Destruction_Authorised_by_Employee_ID, Destroyed_by_Employee_ID, Planned_Destruction_Date, Actual_Destruction_Date, Other_Details ) # # All_Documents.Date_Stored can be joined with Ref_Calendar.Calendar_Date # All_Documents.Document_Type_Code can be joined with Ref_Document_Types.Document_Type_Code # Employees.Role_Code can be joined with Roles.Role_Code # Document_Locations.Document_ID can be joined with All_Documents.Document_ID # Document_Locations.Date_in_Locaton_To can be joined with Ref_Calendar.Calendar_Date # Document_Locations.Date_in_Location_From can be joined with Ref_Calendar.Calendar_Date # Document_Locations.Location_Code can be joined with Ref_Locations.Location_Code # Documents_to_be_Destroyed.Document_ID can be joined with All_Documents.Document_ID # Documents_to_be_Destroyed.Actual_Destruction_Date can be joined with Ref_Calendar.Calendar_Date # Documents_to_be_Destroyed.Planned_Destruction_Date can be joined with Ref_Calendar.Calendar_Date # Documents_to_be_Destroyed.Destruction_Authorised_by_Employee_ID can be joined with Employees.Employee_ID # Documents_to_be_Destroyed.Destroyed_by_Employee_ID can be joined with Employees.Employee_ID # ### Question: # # Give me the name and description of the location with code x. # ### SQL: # # SELECT location_name , location_description FROM Ref_locations WHERE location_code = "x" # ### End.
cre_Doc_Tracking_DB	### Complete SQL query only and with no explanation ### SQL tables followed by foreign key information: # # Ref_Document_Types ( Document_Type_Code, Document_Type_Name, Document_Type_Description ) # Ref_Calendar ( Calendar_Date, Day_Number ) # Ref_Locations ( Location_Code, Location_Name, Location_Description ) # Roles ( Role_Code, Role_Name, Role_Description ) # All_Documents ( Document_ID, Date_Stored, Document_Type_Code, Document_Name, Document_Description, Other_Details ) # Employees ( Employee_ID, Role_Code, Employee_Name, Gender_MFU, Date_of_Birth, Other_Details ) # Document_Locations ( Document_ID, Location_Code, Date_in_Location_From, Date_in_Locaton_To ) # Documents_to_be_Destroyed ( Document_ID, Destruction_Authorised_by_Employee_ID, Destroyed_by_Employee_ID, Planned_Destruction_Date, Actual_Destruction_Date, Other_Details ) # # All_Documents.Date_Stored can be joined with Ref_Calendar.Calendar_Date # All_Documents.Document_Type_Code can be joined with Ref_Document_Types.Document_Type_Code # Employees.Role_Code can be joined with Roles.Role_Code # Document_Locations.Document_ID can be joined with All_Documents.Document_ID # Document_Locations.Date_in_Locaton_To can be joined with Ref_Calendar.Calendar_Date # Document_Locations.Date_in_Location_From can be joined with Ref_Calendar.Calendar_Date # Document_Locations.Location_Code can be joined with Ref_Locations.Location_Code # Documents_to_be_Destroyed.Document_ID can be joined with All_Documents.Document_ID # Documents_to_be_Destroyed.Actual_Destruction_Date can be joined with Ref_Calendar.Calendar_Date # Documents_to_be_Destroyed.Planned_Destruction_Date can be joined with Ref_Calendar.Calendar_Date # Documents_to_be_Destroyed.Destruction_Authorised_by_Employee_ID can be joined with Employees.Employee_ID # Documents_to_be_Destroyed.Destroyed_by_Employee_ID can be joined with Employees.Employee_ID # ### Question: # # What is the location code for the country "Canada"? # ### SQL: # # SELECT location_code FROM Ref_locations WHERE location_name = "Canada" # ### End.
cre_Doc_Tracking_DB	### Complete SQL query only and with no explanation ### SQL tables followed by foreign key information: # # Ref_Document_Types ( Document_Type_Code, Document_Type_Name, Document_Type_Description ) # Ref_Calendar ( Calendar_Date, Day_Number ) # Ref_Locations ( Location_Code, Location_Name, Location_Description ) # Roles ( Role_Code, Role_Name, Role_Description ) # All_Documents ( Document_ID, Date_Stored, Document_Type_Code, Document_Name, Document_Description, Other_Details ) # Employees ( Employee_ID, Role_Code, Employee_Name, Gender_MFU, Date_of_Birth, Other_Details ) # Document_Locations ( Document_ID, Location_Code, Date_in_Location_From, Date_in_Locaton_To ) # Documents_to_be_Destroyed ( Document_ID, Destruction_Authorised_by_Employee_ID, Destroyed_by_Employee_ID, Planned_Destruction_Date, Actual_Destruction_Date, Other_Details ) # # All_Documents.Date_Stored can be joined with Ref_Calendar.Calendar_Date # All_Documents.Document_Type_Code can be joined with Ref_Document_Types.Document_Type_Code # Employees.Role_Code can be joined with Roles.Role_Code # Document_Locations.Document_ID can be joined with All_Documents.Document_ID # Document_Locations.Date_in_Locaton_To can be joined with Ref_Calendar.Calendar_Date # Document_Locations.Date_in_Location_From can be joined with Ref_Calendar.Calendar_Date # Document_Locations.Location_Code can be joined with Ref_Locations.Location_Code # Documents_to_be_Destroyed.Document_ID can be joined with All_Documents.Document_ID # Documents_to_be_Destroyed.Actual_Destruction_Date can be joined with Ref_Calendar.Calendar_Date # Documents_to_be_Destroyed.Planned_Destruction_Date can be joined with Ref_Calendar.Calendar_Date # Documents_to_be_Destroyed.Destruction_Authorised_by_Employee_ID can be joined with Employees.Employee_ID # Documents_to_be_Destroyed.Destroyed_by_Employee_ID can be joined with Employees.Employee_ID # ### Question: # # Show the location code of the country "Canada". # ### SQL: # # SELECT location_code FROM Ref_locations WHERE location_name = "Canada" # ### End.
cre_Doc_Tracking_DB	### Complete SQL query only and with no explanation ### SQL tables followed by foreign key information: # # Ref_Document_Types ( Document_Type_Code, Document_Type_Name, Document_Type_Description ) # Ref_Calendar ( Calendar_Date, Day_Number ) # Ref_Locations ( Location_Code, Location_Name, Location_Description ) # Roles ( Role_Code, Role_Name, Role_Description ) # All_Documents ( Document_ID, Date_Stored, Document_Type_Code, Document_Name, Document_Description, Other_Details ) # Employees ( Employee_ID, Role_Code, Employee_Name, Gender_MFU, Date_of_Birth, Other_Details ) # Document_Locations ( Document_ID, Location_Code, Date_in_Location_From, Date_in_Locaton_To ) # Documents_to_be_Destroyed ( Document_ID, Destruction_Authorised_by_Employee_ID, Destroyed_by_Employee_ID, Planned_Destruction_Date, Actual_Destruction_Date, Other_Details ) # # All_Documents.Date_Stored can be joined with Ref_Calendar.Calendar_Date # All_Documents.Document_Type_Code can be joined with Ref_Document_Types.Document_Type_Code # Employees.Role_Code can be joined with Roles.Role_Code # Document_Locations.Document_ID can be joined with All_Documents.Document_ID # Document_Locations.Date_in_Locaton_To can be joined with Ref_Calendar.Calendar_Date # Document_Locations.Date_in_Location_From can be joined with Ref_Calendar.Calendar_Date # Document_Locations.Location_Code can be joined with Ref_Locations.Location_Code # Documents_to_be_Destroyed.Document_ID can be joined with All_Documents.Document_ID # Documents_to_be_Destroyed.Actual_Destruction_Date can be joined with Ref_Calendar.Calendar_Date # Documents_to_be_Destroyed.Planned_Destruction_Date can be joined with Ref_Calendar.Calendar_Date # Documents_to_be_Destroyed.Destruction_Authorised_by_Employee_ID can be joined with Employees.Employee_ID # Documents_to_be_Destroyed.Destroyed_by_Employee_ID can be joined with Employees.Employee_ID # ### Question: # # How many roles are there? # ### SQL: # # SELECT count(*) FROM ROLES # ### End.
cre_Doc_Tracking_DB	### Complete SQL query only and with no explanation ### SQL tables followed by foreign key information: # # Ref_Document_Types ( Document_Type_Code, Document_Type_Name, Document_Type_Description ) # Ref_Calendar ( Calendar_Date, Day_Number ) # Ref_Locations ( Location_Code, Location_Name, Location_Description ) # Roles ( Role_Code, Role_Name, Role_Description ) # All_Documents ( Document_ID, Date_Stored, Document_Type_Code, Document_Name, Document_Description, Other_Details ) # Employees ( Employee_ID, Role_Code, Employee_Name, Gender_MFU, Date_of_Birth, Other_Details ) # Document_Locations ( Document_ID, Location_Code, Date_in_Location_From, Date_in_Locaton_To ) # Documents_to_be_Destroyed ( Document_ID, Destruction_Authorised_by_Employee_ID, Destroyed_by_Employee_ID, Planned_Destruction_Date, Actual_Destruction_Date, Other_Details ) # # All_Documents.Date_Stored can be joined with Ref_Calendar.Calendar_Date # All_Documents.Document_Type_Code can be joined with Ref_Document_Types.Document_Type_Code # Employees.Role_Code can be joined with Roles.Role_Code # Document_Locations.Document_ID can be joined with All_Documents.Document_ID # Document_Locations.Date_in_Locaton_To can be joined with Ref_Calendar.Calendar_Date # Document_Locations.Date_in_Location_From can be joined with Ref_Calendar.Calendar_Date # Document_Locations.Location_Code can be joined with Ref_Locations.Location_Code # Documents_to_be_Destroyed.Document_ID can be joined with All_Documents.Document_ID # Documents_to_be_Destroyed.Actual_Destruction_Date can be joined with Ref_Calendar.Calendar_Date # Documents_to_be_Destroyed.Planned_Destruction_Date can be joined with Ref_Calendar.Calendar_Date # Documents_to_be_Destroyed.Destruction_Authorised_by_Employee_ID can be joined with Employees.Employee_ID # Documents_to_be_Destroyed.Destroyed_by_Employee_ID can be joined with Employees.Employee_ID # ### Question: # # Count the total number of roles listed. # ### SQL: # # SELECT count(*) FROM ROLES # ### End.
cre_Doc_Tracking_DB	### Complete SQL query only and with no explanation ### SQL tables followed by foreign key information: # # Ref_Document_Types ( Document_Type_Code, Document_Type_Name, Document_Type_Description ) # Ref_Calendar ( Calendar_Date, Day_Number ) # Ref_Locations ( Location_Code, Location_Name, Location_Description ) # Roles ( Role_Code, Role_Name, Role_Description ) # All_Documents ( Document_ID, Date_Stored, Document_Type_Code, Document_Name, Document_Description, Other_Details ) # Employees ( Employee_ID, Role_Code, Employee_Name, Gender_MFU, Date_of_Birth, Other_Details ) # Document_Locations ( Document_ID, Location_Code, Date_in_Location_From, Date_in_Locaton_To ) # Documents_to_be_Destroyed ( Document_ID, Destruction_Authorised_by_Employee_ID, Destroyed_by_Employee_ID, Planned_Destruction_Date, Actual_Destruction_Date, Other_Details ) # # All_Documents.Date_Stored can be joined with Ref_Calendar.Calendar_Date # All_Documents.Document_Type_Code can be joined with Ref_Document_Types.Document_Type_Code # Employees.Role_Code can be joined with Roles.Role_Code # Document_Locations.Document_ID can be joined with All_Documents.Document_ID # Document_Locations.Date_in_Locaton_To can be joined with Ref_Calendar.Calendar_Date # Document_Locations.Date_in_Location_From can be joined with Ref_Calendar.Calendar_Date # Document_Locations.Location_Code can be joined with Ref_Locations.Location_Code # Documents_to_be_Destroyed.Document_ID can be joined with All_Documents.Document_ID # Documents_to_be_Destroyed.Actual_Destruction_Date can be joined with Ref_Calendar.Calendar_Date # Documents_to_be_Destroyed.Planned_Destruction_Date can be joined with Ref_Calendar.Calendar_Date # Documents_to_be_Destroyed.Destruction_Authorised_by_Employee_ID can be joined with Employees.Employee_ID # Documents_to_be_Destroyed.Destroyed_by_Employee_ID can be joined with Employees.Employee_ID # ### Question: # # List all role codes, role names, and role descriptions. # ### SQL: # # SELECT role_code , role_name , role_description FROM ROLES # ### End.
cre_Doc_Tracking_DB	### Complete SQL query only and with no explanation ### SQL tables followed by foreign key information: # # Ref_Document_Types ( Document_Type_Code, Document_Type_Name, Document_Type_Description ) # Ref_Calendar ( Calendar_Date, Day_Number ) # Ref_Locations ( Location_Code, Location_Name, Location_Description ) # Roles ( Role_Code, Role_Name, Role_Description ) # All_Documents ( Document_ID, Date_Stored, Document_Type_Code, Document_Name, Document_Description, Other_Details ) # Employees ( Employee_ID, Role_Code, Employee_Name, Gender_MFU, Date_of_Birth, Other_Details ) # Document_Locations ( Document_ID, Location_Code, Date_in_Location_From, Date_in_Locaton_To ) # Documents_to_be_Destroyed ( Document_ID, Destruction_Authorised_by_Employee_ID, Destroyed_by_Employee_ID, Planned_Destruction_Date, Actual_Destruction_Date, Other_Details ) # # All_Documents.Date_Stored can be joined with Ref_Calendar.Calendar_Date # All_Documents.Document_Type_Code can be joined with Ref_Document_Types.Document_Type_Code # Employees.Role_Code can be joined with Roles.Role_Code # Document_Locations.Document_ID can be joined with All_Documents.Document_ID # Document_Locations.Date_in_Locaton_To can be joined with Ref_Calendar.Calendar_Date # Document_Locations.Date_in_Location_From can be joined with Ref_Calendar.Calendar_Date # Document_Locations.Location_Code can be joined with Ref_Locations.Location_Code # Documents_to_be_Destroyed.Document_ID can be joined with All_Documents.Document_ID # Documents_to_be_Destroyed.Actual_Destruction_Date can be joined with Ref_Calendar.Calendar_Date # Documents_to_be_Destroyed.Planned_Destruction_Date can be joined with Ref_Calendar.Calendar_Date # Documents_to_be_Destroyed.Destruction_Authorised_by_Employee_ID can be joined with Employees.Employee_ID # Documents_to_be_Destroyed.Destroyed_by_Employee_ID can be joined with Employees.Employee_ID # ### Question: # # What are all the role codes, role names, and role descriptions? # ### SQL: # # SELECT role_code , role_name , role_description FROM ROLES # ### End.
cre_Doc_Tracking_DB	### Complete SQL query only and with no explanation ### SQL tables followed by foreign key information: # # Ref_Document_Types ( Document_Type_Code, Document_Type_Name, Document_Type_Description ) # Ref_Calendar ( Calendar_Date, Day_Number ) # Ref_Locations ( Location_Code, Location_Name, Location_Description ) # Roles ( Role_Code, Role_Name, Role_Description ) # All_Documents ( Document_ID, Date_Stored, Document_Type_Code, Document_Name, Document_Description, Other_Details ) # Employees ( Employee_ID, Role_Code, Employee_Name, Gender_MFU, Date_of_Birth, Other_Details ) # Document_Locations ( Document_ID, Location_Code, Date_in_Location_From, Date_in_Locaton_To ) # Documents_to_be_Destroyed ( Document_ID, Destruction_Authorised_by_Employee_ID, Destroyed_by_Employee_ID, Planned_Destruction_Date, Actual_Destruction_Date, Other_Details ) # # All_Documents.Date_Stored can be joined with Ref_Calendar.Calendar_Date # All_Documents.Document_Type_Code can be joined with Ref_Document_Types.Document_Type_Code # Employees.Role_Code can be joined with Roles.Role_Code # Document_Locations.Document_ID can be joined with All_Documents.Document_ID # Document_Locations.Date_in_Locaton_To can be joined with Ref_Calendar.Calendar_Date # Document_Locations.Date_in_Location_From can be joined with Ref_Calendar.Calendar_Date # Document_Locations.Location_Code can be joined with Ref_Locations.Location_Code # Documents_to_be_Destroyed.Document_ID can be joined with All_Documents.Document_ID # Documents_to_be_Destroyed.Actual_Destruction_Date can be joined with Ref_Calendar.Calendar_Date # Documents_to_be_Destroyed.Planned_Destruction_Date can be joined with Ref_Calendar.Calendar_Date # Documents_to_be_Destroyed.Destruction_Authorised_by_Employee_ID can be joined with Employees.Employee_ID # Documents_to_be_Destroyed.Destroyed_by_Employee_ID can be joined with Employees.Employee_ID # ### Question: # # What are the name and description for role code "MG"? # ### SQL: # # SELECT role_name , role_description FROM ROLES WHERE role_code = "MG" # ### End.
cre_Doc_Tracking_DB	### Complete SQL query only and with no explanation ### SQL tables followed by foreign key information: # # Ref_Document_Types ( Document_Type_Code, Document_Type_Name, Document_Type_Description ) # Ref_Calendar ( Calendar_Date, Day_Number ) # Ref_Locations ( Location_Code, Location_Name, Location_Description ) # Roles ( Role_Code, Role_Name, Role_Description ) # All_Documents ( Document_ID, Date_Stored, Document_Type_Code, Document_Name, Document_Description, Other_Details ) # Employees ( Employee_ID, Role_Code, Employee_Name, Gender_MFU, Date_of_Birth, Other_Details ) # Document_Locations ( Document_ID, Location_Code, Date_in_Location_From, Date_in_Locaton_To ) # Documents_to_be_Destroyed ( Document_ID, Destruction_Authorised_by_Employee_ID, Destroyed_by_Employee_ID, Planned_Destruction_Date, Actual_Destruction_Date, Other_Details ) # # All_Documents.Date_Stored can be joined with Ref_Calendar.Calendar_Date # All_Documents.Document_Type_Code can be joined with Ref_Document_Types.Document_Type_Code # Employees.Role_Code can be joined with Roles.Role_Code # Document_Locations.Document_ID can be joined with All_Documents.Document_ID # Document_Locations.Date_in_Locaton_To can be joined with Ref_Calendar.Calendar_Date # Document_Locations.Date_in_Location_From can be joined with Ref_Calendar.Calendar_Date # Document_Locations.Location_Code can be joined with Ref_Locations.Location_Code # Documents_to_be_Destroyed.Document_ID can be joined with All_Documents.Document_ID # Documents_to_be_Destroyed.Actual_Destruction_Date can be joined with Ref_Calendar.Calendar_Date # Documents_to_be_Destroyed.Planned_Destruction_Date can be joined with Ref_Calendar.Calendar_Date # Documents_to_be_Destroyed.Destruction_Authorised_by_Employee_ID can be joined with Employees.Employee_ID # Documents_to_be_Destroyed.Destroyed_by_Employee_ID can be joined with Employees.Employee_ID # ### Question: # # Find the name and description of the role with code "MG". # ### SQL: # # SELECT role_name , role_description FROM ROLES WHERE role_code = "MG" # ### End.
cre_Doc_Tracking_DB	### Complete SQL query only and with no explanation ### SQL tables followed by foreign key information: # # Ref_Document_Types ( Document_Type_Code, Document_Type_Name, Document_Type_Description ) # Ref_Calendar ( Calendar_Date, Day_Number ) # Ref_Locations ( Location_Code, Location_Name, Location_Description ) # Roles ( Role_Code, Role_Name, Role_Description ) # All_Documents ( Document_ID, Date_Stored, Document_Type_Code, Document_Name, Document_Description, Other_Details ) # Employees ( Employee_ID, Role_Code, Employee_Name, Gender_MFU, Date_of_Birth, Other_Details ) # Document_Locations ( Document_ID, Location_Code, Date_in_Location_From, Date_in_Locaton_To ) # Documents_to_be_Destroyed ( Document_ID, Destruction_Authorised_by_Employee_ID, Destroyed_by_Employee_ID, Planned_Destruction_Date, Actual_Destruction_Date, Other_Details ) # # All_Documents.Date_Stored can be joined with Ref_Calendar.Calendar_Date # All_Documents.Document_Type_Code can be joined with Ref_Document_Types.Document_Type_Code # Employees.Role_Code can be joined with Roles.Role_Code # Document_Locations.Document_ID can be joined with All_Documents.Document_ID # Document_Locations.Date_in_Locaton_To can be joined with Ref_Calendar.Calendar_Date # Document_Locations.Date_in_Location_From can be joined with Ref_Calendar.Calendar_Date # Document_Locations.Location_Code can be joined with Ref_Locations.Location_Code # Documents_to_be_Destroyed.Document_ID can be joined with All_Documents.Document_ID # Documents_to_be_Destroyed.Actual_Destruction_Date can be joined with Ref_Calendar.Calendar_Date # Documents_to_be_Destroyed.Planned_Destruction_Date can be joined with Ref_Calendar.Calendar_Date # Documents_to_be_Destroyed.Destruction_Authorised_by_Employee_ID can be joined with Employees.Employee_ID # Documents_to_be_Destroyed.Destroyed_by_Employee_ID can be joined with Employees.Employee_ID # ### Question: # # Show the description for role name "Proof Reader". # ### SQL: # # SELECT role_description FROM ROLES WHERE role_name = "Proof Reader" # ### End.
cre_Doc_Tracking_DB	### Complete SQL query only and with no explanation ### SQL tables followed by foreign key information: # # Ref_Document_Types ( Document_Type_Code, Document_Type_Name, Document_Type_Description ) # Ref_Calendar ( Calendar_Date, Day_Number ) # Ref_Locations ( Location_Code, Location_Name, Location_Description ) # Roles ( Role_Code, Role_Name, Role_Description ) # All_Documents ( Document_ID, Date_Stored, Document_Type_Code, Document_Name, Document_Description, Other_Details ) # Employees ( Employee_ID, Role_Code, Employee_Name, Gender_MFU, Date_of_Birth, Other_Details ) # Document_Locations ( Document_ID, Location_Code, Date_in_Location_From, Date_in_Locaton_To ) # Documents_to_be_Destroyed ( Document_ID, Destruction_Authorised_by_Employee_ID, Destroyed_by_Employee_ID, Planned_Destruction_Date, Actual_Destruction_Date, Other_Details ) # # All_Documents.Date_Stored can be joined with Ref_Calendar.Calendar_Date # All_Documents.Document_Type_Code can be joined with Ref_Document_Types.Document_Type_Code # Employees.Role_Code can be joined with Roles.Role_Code # Document_Locations.Document_ID can be joined with All_Documents.Document_ID # Document_Locations.Date_in_Locaton_To can be joined with Ref_Calendar.Calendar_Date # Document_Locations.Date_in_Location_From can be joined with Ref_Calendar.Calendar_Date # Document_Locations.Location_Code can be joined with Ref_Locations.Location_Code # Documents_to_be_Destroyed.Document_ID can be joined with All_Documents.Document_ID # Documents_to_be_Destroyed.Actual_Destruction_Date can be joined with Ref_Calendar.Calendar_Date # Documents_to_be_Destroyed.Planned_Destruction_Date can be joined with Ref_Calendar.Calendar_Date # Documents_to_be_Destroyed.Destruction_Authorised_by_Employee_ID can be joined with Employees.Employee_ID # Documents_to_be_Destroyed.Destroyed_by_Employee_ID can be joined with Employees.Employee_ID # ### Question: # # What is the description of the role named "Proof Reader"? # ### SQL: # # SELECT role_description FROM ROLES WHERE role_name = "Proof Reader" # ### End.
cre_Doc_Tracking_DB	### Complete SQL query only and with no explanation ### SQL tables followed by foreign key information: # # Ref_Document_Types ( Document_Type_Code, Document_Type_Name, Document_Type_Description ) # Ref_Calendar ( Calendar_Date, Day_Number ) # Ref_Locations ( Location_Code, Location_Name, Location_Description ) # Roles ( Role_Code, Role_Name, Role_Description ) # All_Documents ( Document_ID, Date_Stored, Document_Type_Code, Document_Name, Document_Description, Other_Details ) # Employees ( Employee_ID, Role_Code, Employee_Name, Gender_MFU, Date_of_Birth, Other_Details ) # Document_Locations ( Document_ID, Location_Code, Date_in_Location_From, Date_in_Locaton_To ) # Documents_to_be_Destroyed ( Document_ID, Destruction_Authorised_by_Employee_ID, Destroyed_by_Employee_ID, Planned_Destruction_Date, Actual_Destruction_Date, Other_Details ) # # All_Documents.Date_Stored can be joined with Ref_Calendar.Calendar_Date # All_Documents.Document_Type_Code can be joined with Ref_Document_Types.Document_Type_Code # Employees.Role_Code can be joined with Roles.Role_Code # Document_Locations.Document_ID can be joined with All_Documents.Document_ID # Document_Locations.Date_in_Locaton_To can be joined with Ref_Calendar.Calendar_Date # Document_Locations.Date_in_Location_From can be joined with Ref_Calendar.Calendar_Date # Document_Locations.Location_Code can be joined with Ref_Locations.Location_Code # Documents_to_be_Destroyed.Document_ID can be joined with All_Documents.Document_ID # Documents_to_be_Destroyed.Actual_Destruction_Date can be joined with Ref_Calendar.Calendar_Date # Documents_to_be_Destroyed.Planned_Destruction_Date can be joined with Ref_Calendar.Calendar_Date # Documents_to_be_Destroyed.Destruction_Authorised_by_Employee_ID can be joined with Employees.Employee_ID # Documents_to_be_Destroyed.Destroyed_by_Employee_ID can be joined with Employees.Employee_ID # ### Question: # # How many employees do we have? # ### SQL: # # SELECT count(*) FROM Employees # ### End.
cre_Doc_Tracking_DB	### Complete SQL query only and with no explanation ### SQL tables followed by foreign key information: # # Ref_Document_Types ( Document_Type_Code, Document_Type_Name, Document_Type_Description ) # Ref_Calendar ( Calendar_Date, Day_Number ) # Ref_Locations ( Location_Code, Location_Name, Location_Description ) # Roles ( Role_Code, Role_Name, Role_Description ) # All_Documents ( Document_ID, Date_Stored, Document_Type_Code, Document_Name, Document_Description, Other_Details ) # Employees ( Employee_ID, Role_Code, Employee_Name, Gender_MFU, Date_of_Birth, Other_Details ) # Document_Locations ( Document_ID, Location_Code, Date_in_Location_From, Date_in_Locaton_To ) # Documents_to_be_Destroyed ( Document_ID, Destruction_Authorised_by_Employee_ID, Destroyed_by_Employee_ID, Planned_Destruction_Date, Actual_Destruction_Date, Other_Details ) # # All_Documents.Date_Stored can be joined with Ref_Calendar.Calendar_Date # All_Documents.Document_Type_Code can be joined with Ref_Document_Types.Document_Type_Code # Employees.Role_Code can be joined with Roles.Role_Code # Document_Locations.Document_ID can be joined with All_Documents.Document_ID # Document_Locations.Date_in_Locaton_To can be joined with Ref_Calendar.Calendar_Date # Document_Locations.Date_in_Location_From can be joined with Ref_Calendar.Calendar_Date # Document_Locations.Location_Code can be joined with Ref_Locations.Location_Code # Documents_to_be_Destroyed.Document_ID can be joined with All_Documents.Document_ID # Documents_to_be_Destroyed.Actual_Destruction_Date can be joined with Ref_Calendar.Calendar_Date # Documents_to_be_Destroyed.Planned_Destruction_Date can be joined with Ref_Calendar.Calendar_Date # Documents_to_be_Destroyed.Destruction_Authorised_by_Employee_ID can be joined with Employees.Employee_ID # Documents_to_be_Destroyed.Destroyed_by_Employee_ID can be joined with Employees.Employee_ID # ### Question: # # Find the number of employees we have. # ### SQL: # # SELECT count(*) FROM Employees # ### End.
cre_Doc_Tracking_DB	### Complete SQL query only and with no explanation ### SQL tables followed by foreign key information: # # Ref_Document_Types ( Document_Type_Code, Document_Type_Name, Document_Type_Description ) # Ref_Calendar ( Calendar_Date, Day_Number ) # Ref_Locations ( Location_Code, Location_Name, Location_Description ) # Roles ( Role_Code, Role_Name, Role_Description ) # All_Documents ( Document_ID, Date_Stored, Document_Type_Code, Document_Name, Document_Description, Other_Details ) # Employees ( Employee_ID, Role_Code, Employee_Name, Gender_MFU, Date_of_Birth, Other_Details ) # Document_Locations ( Document_ID, Location_Code, Date_in_Location_From, Date_in_Locaton_To ) # Documents_to_be_Destroyed ( Document_ID, Destruction_Authorised_by_Employee_ID, Destroyed_by_Employee_ID, Planned_Destruction_Date, Actual_Destruction_Date, Other_Details ) # # All_Documents.Date_Stored can be joined with Ref_Calendar.Calendar_Date # All_Documents.Document_Type_Code can be joined with Ref_Document_Types.Document_Type_Code # Employees.Role_Code can be joined with Roles.Role_Code # Document_Locations.Document_ID can be joined with All_Documents.Document_ID # Document_Locations.Date_in_Locaton_To can be joined with Ref_Calendar.Calendar_Date # Document_Locations.Date_in_Location_From can be joined with Ref_Calendar.Calendar_Date # Document_Locations.Location_Code can be joined with Ref_Locations.Location_Code # Documents_to_be_Destroyed.Document_ID can be joined with All_Documents.Document_ID # Documents_to_be_Destroyed.Actual_Destruction_Date can be joined with Ref_Calendar.Calendar_Date # Documents_to_be_Destroyed.Planned_Destruction_Date can be joined with Ref_Calendar.Calendar_Date # Documents_to_be_Destroyed.Destruction_Authorised_by_Employee_ID can be joined with Employees.Employee_ID # Documents_to_be_Destroyed.Destroyed_by_Employee_ID can be joined with Employees.Employee_ID # ### Question: # # Show the name, role code, and date of birth for the employee with name 'Armani'. # ### SQL: # # SELECT employee_name , role_code , date_of_birth FROM Employees WHERE employee_Name = 'Armani' # ### End.
cre_Doc_Tracking_DB	### Complete SQL query only and with no explanation ### SQL tables followed by foreign key information: # # Ref_Document_Types ( Document_Type_Code, Document_Type_Name, Document_Type_Description ) # Ref_Calendar ( Calendar_Date, Day_Number ) # Ref_Locations ( Location_Code, Location_Name, Location_Description ) # Roles ( Role_Code, Role_Name, Role_Description ) # All_Documents ( Document_ID, Date_Stored, Document_Type_Code, Document_Name, Document_Description, Other_Details ) # Employees ( Employee_ID, Role_Code, Employee_Name, Gender_MFU, Date_of_Birth, Other_Details ) # Document_Locations ( Document_ID, Location_Code, Date_in_Location_From, Date_in_Locaton_To ) # Documents_to_be_Destroyed ( Document_ID, Destruction_Authorised_by_Employee_ID, Destroyed_by_Employee_ID, Planned_Destruction_Date, Actual_Destruction_Date, Other_Details ) # # All_Documents.Date_Stored can be joined with Ref_Calendar.Calendar_Date # All_Documents.Document_Type_Code can be joined with Ref_Document_Types.Document_Type_Code # Employees.Role_Code can be joined with Roles.Role_Code # Document_Locations.Document_ID can be joined with All_Documents.Document_ID # Document_Locations.Date_in_Locaton_To can be joined with Ref_Calendar.Calendar_Date # Document_Locations.Date_in_Location_From can be joined with Ref_Calendar.Calendar_Date # Document_Locations.Location_Code can be joined with Ref_Locations.Location_Code # Documents_to_be_Destroyed.Document_ID can be joined with All_Documents.Document_ID # Documents_to_be_Destroyed.Actual_Destruction_Date can be joined with Ref_Calendar.Calendar_Date # Documents_to_be_Destroyed.Planned_Destruction_Date can be joined with Ref_Calendar.Calendar_Date # Documents_to_be_Destroyed.Destruction_Authorised_by_Employee_ID can be joined with Employees.Employee_ID # Documents_to_be_Destroyed.Destroyed_by_Employee_ID can be joined with Employees.Employee_ID # ### Question: # # What are the name, role code, and date of birth of the employee named 'Armani'? # ### SQL: # # SELECT employee_name , role_code , date_of_birth FROM Employees WHERE employee_Name = 'Armani' # ### End.

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