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match_season
Show the name of colleges that have at least two players.
SELECT College FROM match_season GROUP BY College HAVING count(*) >= 2
CREATE TABLE "country" ( "Country_id" int, "Country_name" text, "Capital" text, "Official_native_language" text, PRIMARY KEY ("Country_id") ) 3 rows from country table: Country_id Country_name Capital Official_native_language 1 Indonesia Jakarta Bahasa Indonesia 2 Iran Tehran Persian ( Arabic script ) 3 Iraq Baghdad Arabic ( Arabic script ) Kurdish CREATE TABLE `team` ( `Team_id` int, `Name` text, PRIMARY KEY (`Team_id`) ) 3 rows from team table: Team_id Name 1 Columbus Crew 2 Evalyn Feil 3 Anais VonRueden CREATE TABLE "match_season" ( "Season" real, "Player" text, "Position" text, "Country" int, "Team" int, "Draft_Pick_Number" int, "Draft_Class" text, "College" text, PRIMARY KEY ("Season"), FOREIGN KEY (`Country`) REFERENCES `country`(`Country_id`), FOREIGN KEY (`Team`) REFERENCES `team`(`Team_id`) ) 3 rows from match_season table: Season Player Position Country Team Draft_Pick_Number Draft_Class College 1996.0 Steve Ralston Category:Articles with hCards Midfielder 6 1 18 1996 MLS College Draft Florida International 1997.0 Mike Duhaney Category:Articles with hCards Defender 6 2 87 1996 MLS Inaugural Player Draft UNLV 1998.0 Ben Olsen Category:Articles with hCards Midfielder 4 3 2 Project-40 Virginia CREATE TABLE "player" ( "Player_ID" int, "Player" text, "Years_Played" text, "Total_WL" text, "Singles_WL" text, "Doubles_WL" text, "Team" int, PRIMARY KEY ("Player_ID"), FOREIGN KEY (`Team`) REFERENCES `team`(`Team_id`) ) 3 rows from player table: Player_ID Player Years_Played Total_WL Singles_WL Doubles_WL Team 1 Cho Soong-Jae (630) 1 (2011) 2–0 1–0 1–0 1 2 Chung Hong (717) 1 (2011) 0–0 0–0 0–0 1 3 Im Kyu-tae (492) 8 (2003–2005, 2007–2011) 6–9 5–7 1–2 1
match_season
What are the names of all colleges that have two or more players?
SELECT College FROM match_season GROUP BY College HAVING count(*) >= 2
CREATE TABLE "country" ( "Country_id" int, "Country_name" text, "Capital" text, "Official_native_language" text, PRIMARY KEY ("Country_id") ) 3 rows from country table: Country_id Country_name Capital Official_native_language 1 Indonesia Jakarta Bahasa Indonesia 2 Iran Tehran Persian ( Arabic script ) 3 Iraq Baghdad Arabic ( Arabic script ) Kurdish CREATE TABLE `team` ( `Team_id` int, `Name` text, PRIMARY KEY (`Team_id`) ) 3 rows from team table: Team_id Name 1 Columbus Crew 2 Evalyn Feil 3 Anais VonRueden CREATE TABLE "match_season" ( "Season" real, "Player" text, "Position" text, "Country" int, "Team" int, "Draft_Pick_Number" int, "Draft_Class" text, "College" text, PRIMARY KEY ("Season"), FOREIGN KEY (`Country`) REFERENCES `country`(`Country_id`), FOREIGN KEY (`Team`) REFERENCES `team`(`Team_id`) ) 3 rows from match_season table: Season Player Position Country Team Draft_Pick_Number Draft_Class College 1996.0 Steve Ralston Category:Articles with hCards Midfielder 6 1 18 1996 MLS College Draft Florida International 1997.0 Mike Duhaney Category:Articles with hCards Defender 6 2 87 1996 MLS Inaugural Player Draft UNLV 1998.0 Ben Olsen Category:Articles with hCards Midfielder 4 3 2 Project-40 Virginia CREATE TABLE "player" ( "Player_ID" int, "Player" text, "Years_Played" text, "Total_WL" text, "Singles_WL" text, "Doubles_WL" text, "Team" int, PRIMARY KEY ("Player_ID"), FOREIGN KEY (`Team`) REFERENCES `team`(`Team_id`) ) 3 rows from player table: Player_ID Player Years_Played Total_WL Singles_WL Doubles_WL Team 1 Cho Soong-Jae (630) 1 (2011) 2–0 1–0 1–0 1 2 Chung Hong (717) 1 (2011) 0–0 0–0 0–0 1 3 Im Kyu-tae (492) 8 (2003–2005, 2007–2011) 6–9 5–7 1–2 1
match_season
Show the name of colleges that have at least two players in descending alphabetical order.
SELECT College FROM match_season GROUP BY College HAVING count(*) >= 2 ORDER BY College DESC
CREATE TABLE "country" ( "Country_id" int, "Country_name" text, "Capital" text, "Official_native_language" text, PRIMARY KEY ("Country_id") ) 3 rows from country table: Country_id Country_name Capital Official_native_language 1 Indonesia Jakarta Bahasa Indonesia 2 Iran Tehran Persian ( Arabic script ) 3 Iraq Baghdad Arabic ( Arabic script ) Kurdish CREATE TABLE `team` ( `Team_id` int, `Name` text, PRIMARY KEY (`Team_id`) ) 3 rows from team table: Team_id Name 1 Columbus Crew 2 Evalyn Feil 3 Anais VonRueden CREATE TABLE "match_season" ( "Season" real, "Player" text, "Position" text, "Country" int, "Team" int, "Draft_Pick_Number" int, "Draft_Class" text, "College" text, PRIMARY KEY ("Season"), FOREIGN KEY (`Country`) REFERENCES `country`(`Country_id`), FOREIGN KEY (`Team`) REFERENCES `team`(`Team_id`) ) 3 rows from match_season table: Season Player Position Country Team Draft_Pick_Number Draft_Class College 1996.0 Steve Ralston Category:Articles with hCards Midfielder 6 1 18 1996 MLS College Draft Florida International 1997.0 Mike Duhaney Category:Articles with hCards Defender 6 2 87 1996 MLS Inaugural Player Draft UNLV 1998.0 Ben Olsen Category:Articles with hCards Midfielder 4 3 2 Project-40 Virginia CREATE TABLE "player" ( "Player_ID" int, "Player" text, "Years_Played" text, "Total_WL" text, "Singles_WL" text, "Doubles_WL" text, "Team" int, PRIMARY KEY ("Player_ID"), FOREIGN KEY (`Team`) REFERENCES `team`(`Team_id`) ) 3 rows from player table: Player_ID Player Years_Played Total_WL Singles_WL Doubles_WL Team 1 Cho Soong-Jae (630) 1 (2011) 2–0 1–0 1–0 1 2 Chung Hong (717) 1 (2011) 0–0 0–0 0–0 1 3 Im Kyu-tae (492) 8 (2003–2005, 2007–2011) 6–9 5–7 1–2 1
match_season
What are the names of colleges that have two or more players, listed in descending alphabetical order?
SELECT College FROM match_season GROUP BY College HAVING count(*) >= 2 ORDER BY College DESC
CREATE TABLE "country" ( "Country_id" int, "Country_name" text, "Capital" text, "Official_native_language" text, PRIMARY KEY ("Country_id") ) 3 rows from country table: Country_id Country_name Capital Official_native_language 1 Indonesia Jakarta Bahasa Indonesia 2 Iran Tehran Persian ( Arabic script ) 3 Iraq Baghdad Arabic ( Arabic script ) Kurdish CREATE TABLE `team` ( `Team_id` int, `Name` text, PRIMARY KEY (`Team_id`) ) 3 rows from team table: Team_id Name 1 Columbus Crew 2 Evalyn Feil 3 Anais VonRueden CREATE TABLE "match_season" ( "Season" real, "Player" text, "Position" text, "Country" int, "Team" int, "Draft_Pick_Number" int, "Draft_Class" text, "College" text, PRIMARY KEY ("Season"), FOREIGN KEY (`Country`) REFERENCES `country`(`Country_id`), FOREIGN KEY (`Team`) REFERENCES `team`(`Team_id`) ) 3 rows from match_season table: Season Player Position Country Team Draft_Pick_Number Draft_Class College 1996.0 Steve Ralston Category:Articles with hCards Midfielder 6 1 18 1996 MLS College Draft Florida International 1997.0 Mike Duhaney Category:Articles with hCards Defender 6 2 87 1996 MLS Inaugural Player Draft UNLV 1998.0 Ben Olsen Category:Articles with hCards Midfielder 4 3 2 Project-40 Virginia CREATE TABLE "player" ( "Player_ID" int, "Player" text, "Years_Played" text, "Total_WL" text, "Singles_WL" text, "Doubles_WL" text, "Team" int, PRIMARY KEY ("Player_ID"), FOREIGN KEY (`Team`) REFERENCES `team`(`Team_id`) ) 3 rows from player table: Player_ID Player Years_Played Total_WL Singles_WL Doubles_WL Team 1 Cho Soong-Jae (630) 1 (2011) 2–0 1–0 1–0 1 2 Chung Hong (717) 1 (2011) 0–0 0–0 0–0 1 3 Im Kyu-tae (492) 8 (2003–2005, 2007–2011) 6–9 5–7 1–2 1
match_season
What are the names of teams that do no have match season record?
SELECT Name FROM team WHERE Team_id NOT IN (SELECT Team FROM match_season)
CREATE TABLE "country" ( "Country_id" int, "Country_name" text, "Capital" text, "Official_native_language" text, PRIMARY KEY ("Country_id") ) 3 rows from country table: Country_id Country_name Capital Official_native_language 1 Indonesia Jakarta Bahasa Indonesia 2 Iran Tehran Persian ( Arabic script ) 3 Iraq Baghdad Arabic ( Arabic script ) Kurdish CREATE TABLE `team` ( `Team_id` int, `Name` text, PRIMARY KEY (`Team_id`) ) 3 rows from team table: Team_id Name 1 Columbus Crew 2 Evalyn Feil 3 Anais VonRueden CREATE TABLE "match_season" ( "Season" real, "Player" text, "Position" text, "Country" int, "Team" int, "Draft_Pick_Number" int, "Draft_Class" text, "College" text, PRIMARY KEY ("Season"), FOREIGN KEY (`Country`) REFERENCES `country`(`Country_id`), FOREIGN KEY (`Team`) REFERENCES `team`(`Team_id`) ) 3 rows from match_season table: Season Player Position Country Team Draft_Pick_Number Draft_Class College 1996.0 Steve Ralston Category:Articles with hCards Midfielder 6 1 18 1996 MLS College Draft Florida International 1997.0 Mike Duhaney Category:Articles with hCards Defender 6 2 87 1996 MLS Inaugural Player Draft UNLV 1998.0 Ben Olsen Category:Articles with hCards Midfielder 4 3 2 Project-40 Virginia CREATE TABLE "player" ( "Player_ID" int, "Player" text, "Years_Played" text, "Total_WL" text, "Singles_WL" text, "Doubles_WL" text, "Team" int, PRIMARY KEY ("Player_ID"), FOREIGN KEY (`Team`) REFERENCES `team`(`Team_id`) ) 3 rows from player table: Player_ID Player Years_Played Total_WL Singles_WL Doubles_WL Team 1 Cho Soong-Jae (630) 1 (2011) 2–0 1–0 1–0 1 2 Chung Hong (717) 1 (2011) 0–0 0–0 0–0 1 3 Im Kyu-tae (492) 8 (2003–2005, 2007–2011) 6–9 5–7 1–2 1
match_season
Return the names of teams that have no match season record.
SELECT Name FROM team WHERE Team_id NOT IN (SELECT Team FROM match_season)
CREATE TABLE "country" ( "Country_id" int, "Country_name" text, "Capital" text, "Official_native_language" text, PRIMARY KEY ("Country_id") ) 3 rows from country table: Country_id Country_name Capital Official_native_language 1 Indonesia Jakarta Bahasa Indonesia 2 Iran Tehran Persian ( Arabic script ) 3 Iraq Baghdad Arabic ( Arabic script ) Kurdish CREATE TABLE `team` ( `Team_id` int, `Name` text, PRIMARY KEY (`Team_id`) ) 3 rows from team table: Team_id Name 1 Columbus Crew 2 Evalyn Feil 3 Anais VonRueden CREATE TABLE "match_season" ( "Season" real, "Player" text, "Position" text, "Country" int, "Team" int, "Draft_Pick_Number" int, "Draft_Class" text, "College" text, PRIMARY KEY ("Season"), FOREIGN KEY (`Country`) REFERENCES `country`(`Country_id`), FOREIGN KEY (`Team`) REFERENCES `team`(`Team_id`) ) 3 rows from match_season table: Season Player Position Country Team Draft_Pick_Number Draft_Class College 1996.0 Steve Ralston Category:Articles with hCards Midfielder 6 1 18 1996 MLS College Draft Florida International 1997.0 Mike Duhaney Category:Articles with hCards Defender 6 2 87 1996 MLS Inaugural Player Draft UNLV 1998.0 Ben Olsen Category:Articles with hCards Midfielder 4 3 2 Project-40 Virginia CREATE TABLE "player" ( "Player_ID" int, "Player" text, "Years_Played" text, "Total_WL" text, "Singles_WL" text, "Doubles_WL" text, "Team" int, PRIMARY KEY ("Player_ID"), FOREIGN KEY (`Team`) REFERENCES `team`(`Team_id`) ) 3 rows from player table: Player_ID Player Years_Played Total_WL Singles_WL Doubles_WL Team 1 Cho Soong-Jae (630) 1 (2011) 2–0 1–0 1–0 1 2 Chung Hong (717) 1 (2011) 0–0 0–0 0–0 1 3 Im Kyu-tae (492) 8 (2003–2005, 2007–2011) 6–9 5–7 1–2 1
match_season
What are the names of countries that have both players with position forward and players with position defender?
SELECT T1.Country_name FROM country AS T1 JOIN match_season AS T2 ON T1.Country_id = T2.Country WHERE T2.Position = "Forward" INTERSECT SELECT T1.Country_name FROM country AS T1 JOIN match_season AS T2 ON T1.Country_id = T2.Country WHERE T2.Position = "Defender"
CREATE TABLE "country" ( "Country_id" int, "Country_name" text, "Capital" text, "Official_native_language" text, PRIMARY KEY ("Country_id") ) 3 rows from country table: Country_id Country_name Capital Official_native_language 1 Indonesia Jakarta Bahasa Indonesia 2 Iran Tehran Persian ( Arabic script ) 3 Iraq Baghdad Arabic ( Arabic script ) Kurdish CREATE TABLE `team` ( `Team_id` int, `Name` text, PRIMARY KEY (`Team_id`) ) 3 rows from team table: Team_id Name 1 Columbus Crew 2 Evalyn Feil 3 Anais VonRueden CREATE TABLE "match_season" ( "Season" real, "Player" text, "Position" text, "Country" int, "Team" int, "Draft_Pick_Number" int, "Draft_Class" text, "College" text, PRIMARY KEY ("Season"), FOREIGN KEY (`Country`) REFERENCES `country`(`Country_id`), FOREIGN KEY (`Team`) REFERENCES `team`(`Team_id`) ) 3 rows from match_season table: Season Player Position Country Team Draft_Pick_Number Draft_Class College 1996.0 Steve Ralston Category:Articles with hCards Midfielder 6 1 18 1996 MLS College Draft Florida International 1997.0 Mike Duhaney Category:Articles with hCards Defender 6 2 87 1996 MLS Inaugural Player Draft UNLV 1998.0 Ben Olsen Category:Articles with hCards Midfielder 4 3 2 Project-40 Virginia CREATE TABLE "player" ( "Player_ID" int, "Player" text, "Years_Played" text, "Total_WL" text, "Singles_WL" text, "Doubles_WL" text, "Team" int, PRIMARY KEY ("Player_ID"), FOREIGN KEY (`Team`) REFERENCES `team`(`Team_id`) ) 3 rows from player table: Player_ID Player Years_Played Total_WL Singles_WL Doubles_WL Team 1 Cho Soong-Jae (630) 1 (2011) 2–0 1–0 1–0 1 2 Chung Hong (717) 1 (2011) 0–0 0–0 0–0 1 3 Im Kyu-tae (492) 8 (2003–2005, 2007–2011) 6–9 5–7 1–2 1
match_season
Return the names of countries that have players that play the Forward position, as well as players who play the Defender position.
SELECT T1.Country_name FROM country AS T1 JOIN match_season AS T2 ON T1.Country_id = T2.Country WHERE T2.Position = "Forward" INTERSECT SELECT T1.Country_name FROM country AS T1 JOIN match_season AS T2 ON T1.Country_id = T2.Country WHERE T2.Position = "Defender"
CREATE TABLE "country" ( "Country_id" int, "Country_name" text, "Capital" text, "Official_native_language" text, PRIMARY KEY ("Country_id") ) 3 rows from country table: Country_id Country_name Capital Official_native_language 1 Indonesia Jakarta Bahasa Indonesia 2 Iran Tehran Persian ( Arabic script ) 3 Iraq Baghdad Arabic ( Arabic script ) Kurdish CREATE TABLE `team` ( `Team_id` int, `Name` text, PRIMARY KEY (`Team_id`) ) 3 rows from team table: Team_id Name 1 Columbus Crew 2 Evalyn Feil 3 Anais VonRueden CREATE TABLE "match_season" ( "Season" real, "Player" text, "Position" text, "Country" int, "Team" int, "Draft_Pick_Number" int, "Draft_Class" text, "College" text, PRIMARY KEY ("Season"), FOREIGN KEY (`Country`) REFERENCES `country`(`Country_id`), FOREIGN KEY (`Team`) REFERENCES `team`(`Team_id`) ) 3 rows from match_season table: Season Player Position Country Team Draft_Pick_Number Draft_Class College 1996.0 Steve Ralston Category:Articles with hCards Midfielder 6 1 18 1996 MLS College Draft Florida International 1997.0 Mike Duhaney Category:Articles with hCards Defender 6 2 87 1996 MLS Inaugural Player Draft UNLV 1998.0 Ben Olsen Category:Articles with hCards Midfielder 4 3 2 Project-40 Virginia CREATE TABLE "player" ( "Player_ID" int, "Player" text, "Years_Played" text, "Total_WL" text, "Singles_WL" text, "Doubles_WL" text, "Team" int, PRIMARY KEY ("Player_ID"), FOREIGN KEY (`Team`) REFERENCES `team`(`Team_id`) ) 3 rows from player table: Player_ID Player Years_Played Total_WL Singles_WL Doubles_WL Team 1 Cho Soong-Jae (630) 1 (2011) 2–0 1–0 1–0 1 2 Chung Hong (717) 1 (2011) 0–0 0–0 0–0 1 3 Im Kyu-tae (492) 8 (2003–2005, 2007–2011) 6–9 5–7 1–2 1
match_season
Which college have both players with position midfielder and players with position defender?
SELECT College FROM match_season WHERE POSITION = "Midfielder" INTERSECT SELECT College FROM match_season WHERE POSITION = "Defender"
CREATE TABLE "country" ( "Country_id" int, "Country_name" text, "Capital" text, "Official_native_language" text, PRIMARY KEY ("Country_id") ) 3 rows from country table: Country_id Country_name Capital Official_native_language 1 Indonesia Jakarta Bahasa Indonesia 2 Iran Tehran Persian ( Arabic script ) 3 Iraq Baghdad Arabic ( Arabic script ) Kurdish CREATE TABLE `team` ( `Team_id` int, `Name` text, PRIMARY KEY (`Team_id`) ) 3 rows from team table: Team_id Name 1 Columbus Crew 2 Evalyn Feil 3 Anais VonRueden CREATE TABLE "match_season" ( "Season" real, "Player" text, "Position" text, "Country" int, "Team" int, "Draft_Pick_Number" int, "Draft_Class" text, "College" text, PRIMARY KEY ("Season"), FOREIGN KEY (`Country`) REFERENCES `country`(`Country_id`), FOREIGN KEY (`Team`) REFERENCES `team`(`Team_id`) ) 3 rows from match_season table: Season Player Position Country Team Draft_Pick_Number Draft_Class College 1996.0 Steve Ralston Category:Articles with hCards Midfielder 6 1 18 1996 MLS College Draft Florida International 1997.0 Mike Duhaney Category:Articles with hCards Defender 6 2 87 1996 MLS Inaugural Player Draft UNLV 1998.0 Ben Olsen Category:Articles with hCards Midfielder 4 3 2 Project-40 Virginia CREATE TABLE "player" ( "Player_ID" int, "Player" text, "Years_Played" text, "Total_WL" text, "Singles_WL" text, "Doubles_WL" text, "Team" int, PRIMARY KEY ("Player_ID"), FOREIGN KEY (`Team`) REFERENCES `team`(`Team_id`) ) 3 rows from player table: Player_ID Player Years_Played Total_WL Singles_WL Doubles_WL Team 1 Cho Soong-Jae (630) 1 (2011) 2–0 1–0 1–0 1 2 Chung Hong (717) 1 (2011) 0–0 0–0 0–0 1 3 Im Kyu-tae (492) 8 (2003–2005, 2007–2011) 6–9 5–7 1–2 1
match_season
Return the colleges that have players who play the Midfielder position, as well as players who play the Defender position.
SELECT College FROM match_season WHERE POSITION = "Midfielder" INTERSECT SELECT College FROM match_season WHERE POSITION = "Defender"
CREATE TABLE "country" ( "Country_id" int, "Country_name" text, "Capital" text, "Official_native_language" text, PRIMARY KEY ("Country_id") ) 3 rows from country table: Country_id Country_name Capital Official_native_language 1 Indonesia Jakarta Bahasa Indonesia 2 Iran Tehran Persian ( Arabic script ) 3 Iraq Baghdad Arabic ( Arabic script ) Kurdish CREATE TABLE `team` ( `Team_id` int, `Name` text, PRIMARY KEY (`Team_id`) ) 3 rows from team table: Team_id Name 1 Columbus Crew 2 Evalyn Feil 3 Anais VonRueden CREATE TABLE "match_season" ( "Season" real, "Player" text, "Position" text, "Country" int, "Team" int, "Draft_Pick_Number" int, "Draft_Class" text, "College" text, PRIMARY KEY ("Season"), FOREIGN KEY (`Country`) REFERENCES `country`(`Country_id`), FOREIGN KEY (`Team`) REFERENCES `team`(`Team_id`) ) 3 rows from match_season table: Season Player Position Country Team Draft_Pick_Number Draft_Class College 1996.0 Steve Ralston Category:Articles with hCards Midfielder 6 1 18 1996 MLS College Draft Florida International 1997.0 Mike Duhaney Category:Articles with hCards Defender 6 2 87 1996 MLS Inaugural Player Draft UNLV 1998.0 Ben Olsen Category:Articles with hCards Midfielder 4 3 2 Project-40 Virginia CREATE TABLE "player" ( "Player_ID" int, "Player" text, "Years_Played" text, "Total_WL" text, "Singles_WL" text, "Doubles_WL" text, "Team" int, PRIMARY KEY ("Player_ID"), FOREIGN KEY (`Team`) REFERENCES `team`(`Team_id`) ) 3 rows from player table: Player_ID Player Years_Played Total_WL Singles_WL Doubles_WL Team 1 Cho Soong-Jae (630) 1 (2011) 2–0 1–0 1–0 1 2 Chung Hong (717) 1 (2011) 0–0 0–0 0–0 1 3 Im Kyu-tae (492) 8 (2003–2005, 2007–2011) 6–9 5–7 1–2 1
climbing
How many climbers are there?
SELECT count(*) FROM climber
CREATE TABLE "mountain" ( "Mountain_ID" int, "Name" text, "Height" real, "Prominence" real, "Range" text, "Country" text, PRIMARY KEY ("Mountain_ID") ) 3 rows from mountain table: Mountain_ID Name Height Prominence Range Country 1 Kibo (Uhuru Pk) 5895.0 5885.0 Kilimanjaro Tanzania 2 Mount Kenya (Batian) 5199.0 3825.0 Mount Kenya Kenya 3 Mawenzi (Hans Meyer Pk) 5148.0 850.0 Kilimanjaro Tanzania CREATE TABLE "climber" ( "Climber_ID" int, "Name" text, "Country" text, "Time" text, "Points" real, "Mountain_ID" int, PRIMARY KEY ("Climber_ID"), FOREIGN KEY ("Mountain_ID") REFERENCES "mountain"("Mountain_ID") ) 3 rows from climber table: Climber_ID Name Country Time Points Mountain_ID 1 Klaus Enders West Germany 1:13.05.6 15.0 1 2 Siegfried Schauzu West Germany 1:14.56.4 12.0 1 3 Hans Luthringhauser West Germany 1:16.58.0 10.0 2
climbing
Count the number of climbers.
SELECT count(*) FROM climber
CREATE TABLE "mountain" ( "Mountain_ID" int, "Name" text, "Height" real, "Prominence" real, "Range" text, "Country" text, PRIMARY KEY ("Mountain_ID") ) 3 rows from mountain table: Mountain_ID Name Height Prominence Range Country 1 Kibo (Uhuru Pk) 5895.0 5885.0 Kilimanjaro Tanzania 2 Mount Kenya (Batian) 5199.0 3825.0 Mount Kenya Kenya 3 Mawenzi (Hans Meyer Pk) 5148.0 850.0 Kilimanjaro Tanzania CREATE TABLE "climber" ( "Climber_ID" int, "Name" text, "Country" text, "Time" text, "Points" real, "Mountain_ID" int, PRIMARY KEY ("Climber_ID"), FOREIGN KEY ("Mountain_ID") REFERENCES "mountain"("Mountain_ID") ) 3 rows from climber table: Climber_ID Name Country Time Points Mountain_ID 1 Klaus Enders West Germany 1:13.05.6 15.0 1 2 Siegfried Schauzu West Germany 1:14.56.4 12.0 1 3 Hans Luthringhauser West Germany 1:16.58.0 10.0 2
climbing
List the names of climbers in descending order of points.
SELECT Name FROM climber ORDER BY Points DESC
CREATE TABLE "mountain" ( "Mountain_ID" int, "Name" text, "Height" real, "Prominence" real, "Range" text, "Country" text, PRIMARY KEY ("Mountain_ID") ) 3 rows from mountain table: Mountain_ID Name Height Prominence Range Country 1 Kibo (Uhuru Pk) 5895.0 5885.0 Kilimanjaro Tanzania 2 Mount Kenya (Batian) 5199.0 3825.0 Mount Kenya Kenya 3 Mawenzi (Hans Meyer Pk) 5148.0 850.0 Kilimanjaro Tanzania CREATE TABLE "climber" ( "Climber_ID" int, "Name" text, "Country" text, "Time" text, "Points" real, "Mountain_ID" int, PRIMARY KEY ("Climber_ID"), FOREIGN KEY ("Mountain_ID") REFERENCES "mountain"("Mountain_ID") ) 3 rows from climber table: Climber_ID Name Country Time Points Mountain_ID 1 Klaus Enders West Germany 1:13.05.6 15.0 1 2 Siegfried Schauzu West Germany 1:14.56.4 12.0 1 3 Hans Luthringhauser West Germany 1:16.58.0 10.0 2
climbing
What are the names of the climbers, ordered by points descending?
SELECT Name FROM climber ORDER BY Points DESC
CREATE TABLE "mountain" ( "Mountain_ID" int, "Name" text, "Height" real, "Prominence" real, "Range" text, "Country" text, PRIMARY KEY ("Mountain_ID") ) 3 rows from mountain table: Mountain_ID Name Height Prominence Range Country 1 Kibo (Uhuru Pk) 5895.0 5885.0 Kilimanjaro Tanzania 2 Mount Kenya (Batian) 5199.0 3825.0 Mount Kenya Kenya 3 Mawenzi (Hans Meyer Pk) 5148.0 850.0 Kilimanjaro Tanzania CREATE TABLE "climber" ( "Climber_ID" int, "Name" text, "Country" text, "Time" text, "Points" real, "Mountain_ID" int, PRIMARY KEY ("Climber_ID"), FOREIGN KEY ("Mountain_ID") REFERENCES "mountain"("Mountain_ID") ) 3 rows from climber table: Climber_ID Name Country Time Points Mountain_ID 1 Klaus Enders West Germany 1:13.05.6 15.0 1 2 Siegfried Schauzu West Germany 1:14.56.4 12.0 1 3 Hans Luthringhauser West Germany 1:16.58.0 10.0 2
climbing
List the names of climbers whose country is not Switzerland.
SELECT Name FROM climber WHERE Country != "Switzerland"
CREATE TABLE "mountain" ( "Mountain_ID" int, "Name" text, "Height" real, "Prominence" real, "Range" text, "Country" text, PRIMARY KEY ("Mountain_ID") ) 3 rows from mountain table: Mountain_ID Name Height Prominence Range Country 1 Kibo (Uhuru Pk) 5895.0 5885.0 Kilimanjaro Tanzania 2 Mount Kenya (Batian) 5199.0 3825.0 Mount Kenya Kenya 3 Mawenzi (Hans Meyer Pk) 5148.0 850.0 Kilimanjaro Tanzania CREATE TABLE "climber" ( "Climber_ID" int, "Name" text, "Country" text, "Time" text, "Points" real, "Mountain_ID" int, PRIMARY KEY ("Climber_ID"), FOREIGN KEY ("Mountain_ID") REFERENCES "mountain"("Mountain_ID") ) 3 rows from climber table: Climber_ID Name Country Time Points Mountain_ID 1 Klaus Enders West Germany 1:13.05.6 15.0 1 2 Siegfried Schauzu West Germany 1:14.56.4 12.0 1 3 Hans Luthringhauser West Germany 1:16.58.0 10.0 2
climbing
What are the names of climbers who are not from the country of Switzerland?
SELECT Name FROM climber WHERE Country != "Switzerland"
CREATE TABLE "mountain" ( "Mountain_ID" int, "Name" text, "Height" real, "Prominence" real, "Range" text, "Country" text, PRIMARY KEY ("Mountain_ID") ) 3 rows from mountain table: Mountain_ID Name Height Prominence Range Country 1 Kibo (Uhuru Pk) 5895.0 5885.0 Kilimanjaro Tanzania 2 Mount Kenya (Batian) 5199.0 3825.0 Mount Kenya Kenya 3 Mawenzi (Hans Meyer Pk) 5148.0 850.0 Kilimanjaro Tanzania CREATE TABLE "climber" ( "Climber_ID" int, "Name" text, "Country" text, "Time" text, "Points" real, "Mountain_ID" int, PRIMARY KEY ("Climber_ID"), FOREIGN KEY ("Mountain_ID") REFERENCES "mountain"("Mountain_ID") ) 3 rows from climber table: Climber_ID Name Country Time Points Mountain_ID 1 Klaus Enders West Germany 1:13.05.6 15.0 1 2 Siegfried Schauzu West Germany 1:14.56.4 12.0 1 3 Hans Luthringhauser West Germany 1:16.58.0 10.0 2
climbing
What is the maximum point for climbers whose country is United Kingdom?
SELECT max(Points) FROM climber WHERE Country = "United Kingdom"
CREATE TABLE "mountain" ( "Mountain_ID" int, "Name" text, "Height" real, "Prominence" real, "Range" text, "Country" text, PRIMARY KEY ("Mountain_ID") ) 3 rows from mountain table: Mountain_ID Name Height Prominence Range Country 1 Kibo (Uhuru Pk) 5895.0 5885.0 Kilimanjaro Tanzania 2 Mount Kenya (Batian) 5199.0 3825.0 Mount Kenya Kenya 3 Mawenzi (Hans Meyer Pk) 5148.0 850.0 Kilimanjaro Tanzania CREATE TABLE "climber" ( "Climber_ID" int, "Name" text, "Country" text, "Time" text, "Points" real, "Mountain_ID" int, PRIMARY KEY ("Climber_ID"), FOREIGN KEY ("Mountain_ID") REFERENCES "mountain"("Mountain_ID") ) 3 rows from climber table: Climber_ID Name Country Time Points Mountain_ID 1 Klaus Enders West Germany 1:13.05.6 15.0 1 2 Siegfried Schauzu West Germany 1:14.56.4 12.0 1 3 Hans Luthringhauser West Germany 1:16.58.0 10.0 2
climbing
Return the maximum number of points for climbers from the United Kingdom.
SELECT max(Points) FROM climber WHERE Country = "United Kingdom"
CREATE TABLE "mountain" ( "Mountain_ID" int, "Name" text, "Height" real, "Prominence" real, "Range" text, "Country" text, PRIMARY KEY ("Mountain_ID") ) 3 rows from mountain table: Mountain_ID Name Height Prominence Range Country 1 Kibo (Uhuru Pk) 5895.0 5885.0 Kilimanjaro Tanzania 2 Mount Kenya (Batian) 5199.0 3825.0 Mount Kenya Kenya 3 Mawenzi (Hans Meyer Pk) 5148.0 850.0 Kilimanjaro Tanzania CREATE TABLE "climber" ( "Climber_ID" int, "Name" text, "Country" text, "Time" text, "Points" real, "Mountain_ID" int, PRIMARY KEY ("Climber_ID"), FOREIGN KEY ("Mountain_ID") REFERENCES "mountain"("Mountain_ID") ) 3 rows from climber table: Climber_ID Name Country Time Points Mountain_ID 1 Klaus Enders West Germany 1:13.05.6 15.0 1 2 Siegfried Schauzu West Germany 1:14.56.4 12.0 1 3 Hans Luthringhauser West Germany 1:16.58.0 10.0 2
climbing
How many distinct countries are the climbers from?
SELECT COUNT(DISTINCT Country) FROM climber
CREATE TABLE "mountain" ( "Mountain_ID" int, "Name" text, "Height" real, "Prominence" real, "Range" text, "Country" text, PRIMARY KEY ("Mountain_ID") ) 3 rows from mountain table: Mountain_ID Name Height Prominence Range Country 1 Kibo (Uhuru Pk) 5895.0 5885.0 Kilimanjaro Tanzania 2 Mount Kenya (Batian) 5199.0 3825.0 Mount Kenya Kenya 3 Mawenzi (Hans Meyer Pk) 5148.0 850.0 Kilimanjaro Tanzania CREATE TABLE "climber" ( "Climber_ID" int, "Name" text, "Country" text, "Time" text, "Points" real, "Mountain_ID" int, PRIMARY KEY ("Climber_ID"), FOREIGN KEY ("Mountain_ID") REFERENCES "mountain"("Mountain_ID") ) 3 rows from climber table: Climber_ID Name Country Time Points Mountain_ID 1 Klaus Enders West Germany 1:13.05.6 15.0 1 2 Siegfried Schauzu West Germany 1:14.56.4 12.0 1 3 Hans Luthringhauser West Germany 1:16.58.0 10.0 2
climbing
Count the number of different countries that climbers are from.
SELECT COUNT(DISTINCT Country) FROM climber
CREATE TABLE "mountain" ( "Mountain_ID" int, "Name" text, "Height" real, "Prominence" real, "Range" text, "Country" text, PRIMARY KEY ("Mountain_ID") ) 3 rows from mountain table: Mountain_ID Name Height Prominence Range Country 1 Kibo (Uhuru Pk) 5895.0 5885.0 Kilimanjaro Tanzania 2 Mount Kenya (Batian) 5199.0 3825.0 Mount Kenya Kenya 3 Mawenzi (Hans Meyer Pk) 5148.0 850.0 Kilimanjaro Tanzania CREATE TABLE "climber" ( "Climber_ID" int, "Name" text, "Country" text, "Time" text, "Points" real, "Mountain_ID" int, PRIMARY KEY ("Climber_ID"), FOREIGN KEY ("Mountain_ID") REFERENCES "mountain"("Mountain_ID") ) 3 rows from climber table: Climber_ID Name Country Time Points Mountain_ID 1 Klaus Enders West Germany 1:13.05.6 15.0 1 2 Siegfried Schauzu West Germany 1:14.56.4 12.0 1 3 Hans Luthringhauser West Germany 1:16.58.0 10.0 2
climbing
What are the names of mountains in ascending alphabetical order?
SELECT Name FROM mountain ORDER BY Name ASC
CREATE TABLE "mountain" ( "Mountain_ID" int, "Name" text, "Height" real, "Prominence" real, "Range" text, "Country" text, PRIMARY KEY ("Mountain_ID") ) 3 rows from mountain table: Mountain_ID Name Height Prominence Range Country 1 Kibo (Uhuru Pk) 5895.0 5885.0 Kilimanjaro Tanzania 2 Mount Kenya (Batian) 5199.0 3825.0 Mount Kenya Kenya 3 Mawenzi (Hans Meyer Pk) 5148.0 850.0 Kilimanjaro Tanzania CREATE TABLE "climber" ( "Climber_ID" int, "Name" text, "Country" text, "Time" text, "Points" real, "Mountain_ID" int, PRIMARY KEY ("Climber_ID"), FOREIGN KEY ("Mountain_ID") REFERENCES "mountain"("Mountain_ID") ) 3 rows from climber table: Climber_ID Name Country Time Points Mountain_ID 1 Klaus Enders West Germany 1:13.05.6 15.0 1 2 Siegfried Schauzu West Germany 1:14.56.4 12.0 1 3 Hans Luthringhauser West Germany 1:16.58.0 10.0 2
climbing
Give the names of mountains in alphabetical order.
SELECT Name FROM mountain ORDER BY Name ASC
CREATE TABLE "mountain" ( "Mountain_ID" int, "Name" text, "Height" real, "Prominence" real, "Range" text, "Country" text, PRIMARY KEY ("Mountain_ID") ) 3 rows from mountain table: Mountain_ID Name Height Prominence Range Country 1 Kibo (Uhuru Pk) 5895.0 5885.0 Kilimanjaro Tanzania 2 Mount Kenya (Batian) 5199.0 3825.0 Mount Kenya Kenya 3 Mawenzi (Hans Meyer Pk) 5148.0 850.0 Kilimanjaro Tanzania CREATE TABLE "climber" ( "Climber_ID" int, "Name" text, "Country" text, "Time" text, "Points" real, "Mountain_ID" int, PRIMARY KEY ("Climber_ID"), FOREIGN KEY ("Mountain_ID") REFERENCES "mountain"("Mountain_ID") ) 3 rows from climber table: Climber_ID Name Country Time Points Mountain_ID 1 Klaus Enders West Germany 1:13.05.6 15.0 1 2 Siegfried Schauzu West Germany 1:14.56.4 12.0 1 3 Hans Luthringhauser West Germany 1:16.58.0 10.0 2
climbing
What are the countries of mountains with height bigger than 5000?
SELECT Country FROM mountain WHERE Height > 5000
CREATE TABLE "mountain" ( "Mountain_ID" int, "Name" text, "Height" real, "Prominence" real, "Range" text, "Country" text, PRIMARY KEY ("Mountain_ID") ) 3 rows from mountain table: Mountain_ID Name Height Prominence Range Country 1 Kibo (Uhuru Pk) 5895.0 5885.0 Kilimanjaro Tanzania 2 Mount Kenya (Batian) 5199.0 3825.0 Mount Kenya Kenya 3 Mawenzi (Hans Meyer Pk) 5148.0 850.0 Kilimanjaro Tanzania CREATE TABLE "climber" ( "Climber_ID" int, "Name" text, "Country" text, "Time" text, "Points" real, "Mountain_ID" int, PRIMARY KEY ("Climber_ID"), FOREIGN KEY ("Mountain_ID") REFERENCES "mountain"("Mountain_ID") ) 3 rows from climber table: Climber_ID Name Country Time Points Mountain_ID 1 Klaus Enders West Germany 1:13.05.6 15.0 1 2 Siegfried Schauzu West Germany 1:14.56.4 12.0 1 3 Hans Luthringhauser West Germany 1:16.58.0 10.0 2
climbing
Return the countries of the mountains that have a height larger than 5000.
SELECT Country FROM mountain WHERE Height > 5000
CREATE TABLE "mountain" ( "Mountain_ID" int, "Name" text, "Height" real, "Prominence" real, "Range" text, "Country" text, PRIMARY KEY ("Mountain_ID") ) 3 rows from mountain table: Mountain_ID Name Height Prominence Range Country 1 Kibo (Uhuru Pk) 5895.0 5885.0 Kilimanjaro Tanzania 2 Mount Kenya (Batian) 5199.0 3825.0 Mount Kenya Kenya 3 Mawenzi (Hans Meyer Pk) 5148.0 850.0 Kilimanjaro Tanzania CREATE TABLE "climber" ( "Climber_ID" int, "Name" text, "Country" text, "Time" text, "Points" real, "Mountain_ID" int, PRIMARY KEY ("Climber_ID"), FOREIGN KEY ("Mountain_ID") REFERENCES "mountain"("Mountain_ID") ) 3 rows from climber table: Climber_ID Name Country Time Points Mountain_ID 1 Klaus Enders West Germany 1:13.05.6 15.0 1 2 Siegfried Schauzu West Germany 1:14.56.4 12.0 1 3 Hans Luthringhauser West Germany 1:16.58.0 10.0 2
climbing
What is the name of the highest mountain?
SELECT Name FROM mountain ORDER BY Height DESC LIMIT 1
CREATE TABLE "mountain" ( "Mountain_ID" int, "Name" text, "Height" real, "Prominence" real, "Range" text, "Country" text, PRIMARY KEY ("Mountain_ID") ) 3 rows from mountain table: Mountain_ID Name Height Prominence Range Country 1 Kibo (Uhuru Pk) 5895.0 5885.0 Kilimanjaro Tanzania 2 Mount Kenya (Batian) 5199.0 3825.0 Mount Kenya Kenya 3 Mawenzi (Hans Meyer Pk) 5148.0 850.0 Kilimanjaro Tanzania CREATE TABLE "climber" ( "Climber_ID" int, "Name" text, "Country" text, "Time" text, "Points" real, "Mountain_ID" int, PRIMARY KEY ("Climber_ID"), FOREIGN KEY ("Mountain_ID") REFERENCES "mountain"("Mountain_ID") ) 3 rows from climber table: Climber_ID Name Country Time Points Mountain_ID 1 Klaus Enders West Germany 1:13.05.6 15.0 1 2 Siegfried Schauzu West Germany 1:14.56.4 12.0 1 3 Hans Luthringhauser West Germany 1:16.58.0 10.0 2
climbing
Return the name of the mountain with the greatest height.
SELECT Name FROM mountain ORDER BY Height DESC LIMIT 1
CREATE TABLE "mountain" ( "Mountain_ID" int, "Name" text, "Height" real, "Prominence" real, "Range" text, "Country" text, PRIMARY KEY ("Mountain_ID") ) 3 rows from mountain table: Mountain_ID Name Height Prominence Range Country 1 Kibo (Uhuru Pk) 5895.0 5885.0 Kilimanjaro Tanzania 2 Mount Kenya (Batian) 5199.0 3825.0 Mount Kenya Kenya 3 Mawenzi (Hans Meyer Pk) 5148.0 850.0 Kilimanjaro Tanzania CREATE TABLE "climber" ( "Climber_ID" int, "Name" text, "Country" text, "Time" text, "Points" real, "Mountain_ID" int, PRIMARY KEY ("Climber_ID"), FOREIGN KEY ("Mountain_ID") REFERENCES "mountain"("Mountain_ID") ) 3 rows from climber table: Climber_ID Name Country Time Points Mountain_ID 1 Klaus Enders West Germany 1:13.05.6 15.0 1 2 Siegfried Schauzu West Germany 1:14.56.4 12.0 1 3 Hans Luthringhauser West Germany 1:16.58.0 10.0 2
climbing
List the distinct ranges of the mountains with the top 3 prominence.
SELECT DISTINCT Range FROM mountain ORDER BY Prominence DESC LIMIT 3
CREATE TABLE "mountain" ( "Mountain_ID" int, "Name" text, "Height" real, "Prominence" real, "Range" text, "Country" text, PRIMARY KEY ("Mountain_ID") ) 3 rows from mountain table: Mountain_ID Name Height Prominence Range Country 1 Kibo (Uhuru Pk) 5895.0 5885.0 Kilimanjaro Tanzania 2 Mount Kenya (Batian) 5199.0 3825.0 Mount Kenya Kenya 3 Mawenzi (Hans Meyer Pk) 5148.0 850.0 Kilimanjaro Tanzania CREATE TABLE "climber" ( "Climber_ID" int, "Name" text, "Country" text, "Time" text, "Points" real, "Mountain_ID" int, PRIMARY KEY ("Climber_ID"), FOREIGN KEY ("Mountain_ID") REFERENCES "mountain"("Mountain_ID") ) 3 rows from climber table: Climber_ID Name Country Time Points Mountain_ID 1 Klaus Enders West Germany 1:13.05.6 15.0 1 2 Siegfried Schauzu West Germany 1:14.56.4 12.0 1 3 Hans Luthringhauser West Germany 1:16.58.0 10.0 2
climbing
What are the different ranges of the 3 mountains with the highest prominence?
SELECT DISTINCT Range FROM mountain ORDER BY Prominence DESC LIMIT 3
CREATE TABLE "mountain" ( "Mountain_ID" int, "Name" text, "Height" real, "Prominence" real, "Range" text, "Country" text, PRIMARY KEY ("Mountain_ID") ) 3 rows from mountain table: Mountain_ID Name Height Prominence Range Country 1 Kibo (Uhuru Pk) 5895.0 5885.0 Kilimanjaro Tanzania 2 Mount Kenya (Batian) 5199.0 3825.0 Mount Kenya Kenya 3 Mawenzi (Hans Meyer Pk) 5148.0 850.0 Kilimanjaro Tanzania CREATE TABLE "climber" ( "Climber_ID" int, "Name" text, "Country" text, "Time" text, "Points" real, "Mountain_ID" int, PRIMARY KEY ("Climber_ID"), FOREIGN KEY ("Mountain_ID") REFERENCES "mountain"("Mountain_ID") ) 3 rows from climber table: Climber_ID Name Country Time Points Mountain_ID 1 Klaus Enders West Germany 1:13.05.6 15.0 1 2 Siegfried Schauzu West Germany 1:14.56.4 12.0 1 3 Hans Luthringhauser West Germany 1:16.58.0 10.0 2
climbing
Show names of climbers and the names of mountains they climb.
SELECT T1.Name , T2.Name FROM climber AS T1 JOIN mountain AS T2 ON T1.Mountain_ID = T2.Mountain_ID
CREATE TABLE "mountain" ( "Mountain_ID" int, "Name" text, "Height" real, "Prominence" real, "Range" text, "Country" text, PRIMARY KEY ("Mountain_ID") ) 3 rows from mountain table: Mountain_ID Name Height Prominence Range Country 1 Kibo (Uhuru Pk) 5895.0 5885.0 Kilimanjaro Tanzania 2 Mount Kenya (Batian) 5199.0 3825.0 Mount Kenya Kenya 3 Mawenzi (Hans Meyer Pk) 5148.0 850.0 Kilimanjaro Tanzania CREATE TABLE "climber" ( "Climber_ID" int, "Name" text, "Country" text, "Time" text, "Points" real, "Mountain_ID" int, PRIMARY KEY ("Climber_ID"), FOREIGN KEY ("Mountain_ID") REFERENCES "mountain"("Mountain_ID") ) 3 rows from climber table: Climber_ID Name Country Time Points Mountain_ID 1 Klaus Enders West Germany 1:13.05.6 15.0 1 2 Siegfried Schauzu West Germany 1:14.56.4 12.0 1 3 Hans Luthringhauser West Germany 1:16.58.0 10.0 2
climbing
What are the names of climbers and the corresponding names of mountains that they climb?
SELECT T1.Name , T2.Name FROM climber AS T1 JOIN mountain AS T2 ON T1.Mountain_ID = T2.Mountain_ID
CREATE TABLE "mountain" ( "Mountain_ID" int, "Name" text, "Height" real, "Prominence" real, "Range" text, "Country" text, PRIMARY KEY ("Mountain_ID") ) 3 rows from mountain table: Mountain_ID Name Height Prominence Range Country 1 Kibo (Uhuru Pk) 5895.0 5885.0 Kilimanjaro Tanzania 2 Mount Kenya (Batian) 5199.0 3825.0 Mount Kenya Kenya 3 Mawenzi (Hans Meyer Pk) 5148.0 850.0 Kilimanjaro Tanzania CREATE TABLE "climber" ( "Climber_ID" int, "Name" text, "Country" text, "Time" text, "Points" real, "Mountain_ID" int, PRIMARY KEY ("Climber_ID"), FOREIGN KEY ("Mountain_ID") REFERENCES "mountain"("Mountain_ID") ) 3 rows from climber table: Climber_ID Name Country Time Points Mountain_ID 1 Klaus Enders West Germany 1:13.05.6 15.0 1 2 Siegfried Schauzu West Germany 1:14.56.4 12.0 1 3 Hans Luthringhauser West Germany 1:16.58.0 10.0 2
climbing
Show the names of climbers and the heights of mountains they climb.
SELECT T1.Name , T2.Height FROM climber AS T1 JOIN mountain AS T2 ON T1.Mountain_ID = T2.Mountain_ID
CREATE TABLE "mountain" ( "Mountain_ID" int, "Name" text, "Height" real, "Prominence" real, "Range" text, "Country" text, PRIMARY KEY ("Mountain_ID") ) 3 rows from mountain table: Mountain_ID Name Height Prominence Range Country 1 Kibo (Uhuru Pk) 5895.0 5885.0 Kilimanjaro Tanzania 2 Mount Kenya (Batian) 5199.0 3825.0 Mount Kenya Kenya 3 Mawenzi (Hans Meyer Pk) 5148.0 850.0 Kilimanjaro Tanzania CREATE TABLE "climber" ( "Climber_ID" int, "Name" text, "Country" text, "Time" text, "Points" real, "Mountain_ID" int, PRIMARY KEY ("Climber_ID"), FOREIGN KEY ("Mountain_ID") REFERENCES "mountain"("Mountain_ID") ) 3 rows from climber table: Climber_ID Name Country Time Points Mountain_ID 1 Klaus Enders West Germany 1:13.05.6 15.0 1 2 Siegfried Schauzu West Germany 1:14.56.4 12.0 1 3 Hans Luthringhauser West Germany 1:16.58.0 10.0 2
climbing
What are the names of climbers and the corresponding heights of the mountains that they climb?
SELECT T1.Name , T2.Height FROM climber AS T1 JOIN mountain AS T2 ON T1.Mountain_ID = T2.Mountain_ID
CREATE TABLE "mountain" ( "Mountain_ID" int, "Name" text, "Height" real, "Prominence" real, "Range" text, "Country" text, PRIMARY KEY ("Mountain_ID") ) 3 rows from mountain table: Mountain_ID Name Height Prominence Range Country 1 Kibo (Uhuru Pk) 5895.0 5885.0 Kilimanjaro Tanzania 2 Mount Kenya (Batian) 5199.0 3825.0 Mount Kenya Kenya 3 Mawenzi (Hans Meyer Pk) 5148.0 850.0 Kilimanjaro Tanzania CREATE TABLE "climber" ( "Climber_ID" int, "Name" text, "Country" text, "Time" text, "Points" real, "Mountain_ID" int, PRIMARY KEY ("Climber_ID"), FOREIGN KEY ("Mountain_ID") REFERENCES "mountain"("Mountain_ID") ) 3 rows from climber table: Climber_ID Name Country Time Points Mountain_ID 1 Klaus Enders West Germany 1:13.05.6 15.0 1 2 Siegfried Schauzu West Germany 1:14.56.4 12.0 1 3 Hans Luthringhauser West Germany 1:16.58.0 10.0 2
climbing
Show the height of the mountain climbed by the climber with the maximum points.
SELECT T2.Height FROM climber AS T1 JOIN mountain AS T2 ON T1.Mountain_ID = T2.Mountain_ID ORDER BY T1.Points DESC LIMIT 1
CREATE TABLE "mountain" ( "Mountain_ID" int, "Name" text, "Height" real, "Prominence" real, "Range" text, "Country" text, PRIMARY KEY ("Mountain_ID") ) 3 rows from mountain table: Mountain_ID Name Height Prominence Range Country 1 Kibo (Uhuru Pk) 5895.0 5885.0 Kilimanjaro Tanzania 2 Mount Kenya (Batian) 5199.0 3825.0 Mount Kenya Kenya 3 Mawenzi (Hans Meyer Pk) 5148.0 850.0 Kilimanjaro Tanzania CREATE TABLE "climber" ( "Climber_ID" int, "Name" text, "Country" text, "Time" text, "Points" real, "Mountain_ID" int, PRIMARY KEY ("Climber_ID"), FOREIGN KEY ("Mountain_ID") REFERENCES "mountain"("Mountain_ID") ) 3 rows from climber table: Climber_ID Name Country Time Points Mountain_ID 1 Klaus Enders West Germany 1:13.05.6 15.0 1 2 Siegfried Schauzu West Germany 1:14.56.4 12.0 1 3 Hans Luthringhauser West Germany 1:16.58.0 10.0 2
climbing
What is the height of the mountain climbined by the climbing who had the most points?
SELECT T2.Height FROM climber AS T1 JOIN mountain AS T2 ON T1.Mountain_ID = T2.Mountain_ID ORDER BY T1.Points DESC LIMIT 1
CREATE TABLE "mountain" ( "Mountain_ID" int, "Name" text, "Height" real, "Prominence" real, "Range" text, "Country" text, PRIMARY KEY ("Mountain_ID") ) 3 rows from mountain table: Mountain_ID Name Height Prominence Range Country 1 Kibo (Uhuru Pk) 5895.0 5885.0 Kilimanjaro Tanzania 2 Mount Kenya (Batian) 5199.0 3825.0 Mount Kenya Kenya 3 Mawenzi (Hans Meyer Pk) 5148.0 850.0 Kilimanjaro Tanzania CREATE TABLE "climber" ( "Climber_ID" int, "Name" text, "Country" text, "Time" text, "Points" real, "Mountain_ID" int, PRIMARY KEY ("Climber_ID"), FOREIGN KEY ("Mountain_ID") REFERENCES "mountain"("Mountain_ID") ) 3 rows from climber table: Climber_ID Name Country Time Points Mountain_ID 1 Klaus Enders West Germany 1:13.05.6 15.0 1 2 Siegfried Schauzu West Germany 1:14.56.4 12.0 1 3 Hans Luthringhauser West Germany 1:16.58.0 10.0 2
climbing
Show the distinct names of mountains climbed by climbers from country "West Germany".
SELECT DISTINCT T2.Name FROM climber AS T1 JOIN mountain AS T2 ON T1.Mountain_ID = T2.Mountain_ID WHERE T1.Country = "West Germany"
CREATE TABLE "mountain" ( "Mountain_ID" int, "Name" text, "Height" real, "Prominence" real, "Range" text, "Country" text, PRIMARY KEY ("Mountain_ID") ) 3 rows from mountain table: Mountain_ID Name Height Prominence Range Country 1 Kibo (Uhuru Pk) 5895.0 5885.0 Kilimanjaro Tanzania 2 Mount Kenya (Batian) 5199.0 3825.0 Mount Kenya Kenya 3 Mawenzi (Hans Meyer Pk) 5148.0 850.0 Kilimanjaro Tanzania CREATE TABLE "climber" ( "Climber_ID" int, "Name" text, "Country" text, "Time" text, "Points" real, "Mountain_ID" int, PRIMARY KEY ("Climber_ID"), FOREIGN KEY ("Mountain_ID") REFERENCES "mountain"("Mountain_ID") ) 3 rows from climber table: Climber_ID Name Country Time Points Mountain_ID 1 Klaus Enders West Germany 1:13.05.6 15.0 1 2 Siegfried Schauzu West Germany 1:14.56.4 12.0 1 3 Hans Luthringhauser West Germany 1:16.58.0 10.0 2
climbing
What are the different names of mountains ascended by climbers from the country of West Germany?
SELECT DISTINCT T2.Name FROM climber AS T1 JOIN mountain AS T2 ON T1.Mountain_ID = T2.Mountain_ID WHERE T1.Country = "West Germany"
CREATE TABLE "mountain" ( "Mountain_ID" int, "Name" text, "Height" real, "Prominence" real, "Range" text, "Country" text, PRIMARY KEY ("Mountain_ID") ) 3 rows from mountain table: Mountain_ID Name Height Prominence Range Country 1 Kibo (Uhuru Pk) 5895.0 5885.0 Kilimanjaro Tanzania 2 Mount Kenya (Batian) 5199.0 3825.0 Mount Kenya Kenya 3 Mawenzi (Hans Meyer Pk) 5148.0 850.0 Kilimanjaro Tanzania CREATE TABLE "climber" ( "Climber_ID" int, "Name" text, "Country" text, "Time" text, "Points" real, "Mountain_ID" int, PRIMARY KEY ("Climber_ID"), FOREIGN KEY ("Mountain_ID") REFERENCES "mountain"("Mountain_ID") ) 3 rows from climber table: Climber_ID Name Country Time Points Mountain_ID 1 Klaus Enders West Germany 1:13.05.6 15.0 1 2 Siegfried Schauzu West Germany 1:14.56.4 12.0 1 3 Hans Luthringhauser West Germany 1:16.58.0 10.0 2
climbing
Show the times used by climbers to climb mountains in Country Uganda.
SELECT T1.Time FROM climber AS T1 JOIN mountain AS T2 ON T1.Mountain_ID = T2.Mountain_ID WHERE T2.Country = "Uganda"
CREATE TABLE "mountain" ( "Mountain_ID" int, "Name" text, "Height" real, "Prominence" real, "Range" text, "Country" text, PRIMARY KEY ("Mountain_ID") ) 3 rows from mountain table: Mountain_ID Name Height Prominence Range Country 1 Kibo (Uhuru Pk) 5895.0 5885.0 Kilimanjaro Tanzania 2 Mount Kenya (Batian) 5199.0 3825.0 Mount Kenya Kenya 3 Mawenzi (Hans Meyer Pk) 5148.0 850.0 Kilimanjaro Tanzania CREATE TABLE "climber" ( "Climber_ID" int, "Name" text, "Country" text, "Time" text, "Points" real, "Mountain_ID" int, PRIMARY KEY ("Climber_ID"), FOREIGN KEY ("Mountain_ID") REFERENCES "mountain"("Mountain_ID") ) 3 rows from climber table: Climber_ID Name Country Time Points Mountain_ID 1 Klaus Enders West Germany 1:13.05.6 15.0 1 2 Siegfried Schauzu West Germany 1:14.56.4 12.0 1 3 Hans Luthringhauser West Germany 1:16.58.0 10.0 2
climbing
What are the times used by climbers who climbed mountains in the country of Uganda?
SELECT T1.Time FROM climber AS T1 JOIN mountain AS T2 ON T1.Mountain_ID = T2.Mountain_ID WHERE T2.Country = "Uganda"
CREATE TABLE "mountain" ( "Mountain_ID" int, "Name" text, "Height" real, "Prominence" real, "Range" text, "Country" text, PRIMARY KEY ("Mountain_ID") ) 3 rows from mountain table: Mountain_ID Name Height Prominence Range Country 1 Kibo (Uhuru Pk) 5895.0 5885.0 Kilimanjaro Tanzania 2 Mount Kenya (Batian) 5199.0 3825.0 Mount Kenya Kenya 3 Mawenzi (Hans Meyer Pk) 5148.0 850.0 Kilimanjaro Tanzania CREATE TABLE "climber" ( "Climber_ID" int, "Name" text, "Country" text, "Time" text, "Points" real, "Mountain_ID" int, PRIMARY KEY ("Climber_ID"), FOREIGN KEY ("Mountain_ID") REFERENCES "mountain"("Mountain_ID") ) 3 rows from climber table: Climber_ID Name Country Time Points Mountain_ID 1 Klaus Enders West Germany 1:13.05.6 15.0 1 2 Siegfried Schauzu West Germany 1:14.56.4 12.0 1 3 Hans Luthringhauser West Germany 1:16.58.0 10.0 2
climbing
Please show the countries and the number of climbers from each country.
SELECT Country , COUNT(*) FROM climber GROUP BY Country
CREATE TABLE "mountain" ( "Mountain_ID" int, "Name" text, "Height" real, "Prominence" real, "Range" text, "Country" text, PRIMARY KEY ("Mountain_ID") ) 3 rows from mountain table: Mountain_ID Name Height Prominence Range Country 1 Kibo (Uhuru Pk) 5895.0 5885.0 Kilimanjaro Tanzania 2 Mount Kenya (Batian) 5199.0 3825.0 Mount Kenya Kenya 3 Mawenzi (Hans Meyer Pk) 5148.0 850.0 Kilimanjaro Tanzania CREATE TABLE "climber" ( "Climber_ID" int, "Name" text, "Country" text, "Time" text, "Points" real, "Mountain_ID" int, PRIMARY KEY ("Climber_ID"), FOREIGN KEY ("Mountain_ID") REFERENCES "mountain"("Mountain_ID") ) 3 rows from climber table: Climber_ID Name Country Time Points Mountain_ID 1 Klaus Enders West Germany 1:13.05.6 15.0 1 2 Siegfried Schauzu West Germany 1:14.56.4 12.0 1 3 Hans Luthringhauser West Germany 1:16.58.0 10.0 2
climbing
How many climbers are from each country?
SELECT Country , COUNT(*) FROM climber GROUP BY Country
CREATE TABLE "mountain" ( "Mountain_ID" int, "Name" text, "Height" real, "Prominence" real, "Range" text, "Country" text, PRIMARY KEY ("Mountain_ID") ) 3 rows from mountain table: Mountain_ID Name Height Prominence Range Country 1 Kibo (Uhuru Pk) 5895.0 5885.0 Kilimanjaro Tanzania 2 Mount Kenya (Batian) 5199.0 3825.0 Mount Kenya Kenya 3 Mawenzi (Hans Meyer Pk) 5148.0 850.0 Kilimanjaro Tanzania CREATE TABLE "climber" ( "Climber_ID" int, "Name" text, "Country" text, "Time" text, "Points" real, "Mountain_ID" int, PRIMARY KEY ("Climber_ID"), FOREIGN KEY ("Mountain_ID") REFERENCES "mountain"("Mountain_ID") ) 3 rows from climber table: Climber_ID Name Country Time Points Mountain_ID 1 Klaus Enders West Germany 1:13.05.6 15.0 1 2 Siegfried Schauzu West Germany 1:14.56.4 12.0 1 3 Hans Luthringhauser West Germany 1:16.58.0 10.0 2
climbing
List the countries that have more than one mountain.
SELECT Country FROM mountain GROUP BY Country HAVING COUNT(*) > 1
CREATE TABLE "mountain" ( "Mountain_ID" int, "Name" text, "Height" real, "Prominence" real, "Range" text, "Country" text, PRIMARY KEY ("Mountain_ID") ) 3 rows from mountain table: Mountain_ID Name Height Prominence Range Country 1 Kibo (Uhuru Pk) 5895.0 5885.0 Kilimanjaro Tanzania 2 Mount Kenya (Batian) 5199.0 3825.0 Mount Kenya Kenya 3 Mawenzi (Hans Meyer Pk) 5148.0 850.0 Kilimanjaro Tanzania CREATE TABLE "climber" ( "Climber_ID" int, "Name" text, "Country" text, "Time" text, "Points" real, "Mountain_ID" int, PRIMARY KEY ("Climber_ID"), FOREIGN KEY ("Mountain_ID") REFERENCES "mountain"("Mountain_ID") ) 3 rows from climber table: Climber_ID Name Country Time Points Mountain_ID 1 Klaus Enders West Germany 1:13.05.6 15.0 1 2 Siegfried Schauzu West Germany 1:14.56.4 12.0 1 3 Hans Luthringhauser West Germany 1:16.58.0 10.0 2
climbing
Which countries have more than one mountain?
SELECT Country FROM mountain GROUP BY Country HAVING COUNT(*) > 1
CREATE TABLE "mountain" ( "Mountain_ID" int, "Name" text, "Height" real, "Prominence" real, "Range" text, "Country" text, PRIMARY KEY ("Mountain_ID") ) 3 rows from mountain table: Mountain_ID Name Height Prominence Range Country 1 Kibo (Uhuru Pk) 5895.0 5885.0 Kilimanjaro Tanzania 2 Mount Kenya (Batian) 5199.0 3825.0 Mount Kenya Kenya 3 Mawenzi (Hans Meyer Pk) 5148.0 850.0 Kilimanjaro Tanzania CREATE TABLE "climber" ( "Climber_ID" int, "Name" text, "Country" text, "Time" text, "Points" real, "Mountain_ID" int, PRIMARY KEY ("Climber_ID"), FOREIGN KEY ("Mountain_ID") REFERENCES "mountain"("Mountain_ID") ) 3 rows from climber table: Climber_ID Name Country Time Points Mountain_ID 1 Klaus Enders West Germany 1:13.05.6 15.0 1 2 Siegfried Schauzu West Germany 1:14.56.4 12.0 1 3 Hans Luthringhauser West Germany 1:16.58.0 10.0 2
climbing
List the names of mountains that do not have any climber.
SELECT Name FROM mountain WHERE Mountain_ID NOT IN (SELECT Mountain_ID FROM climber)
CREATE TABLE "mountain" ( "Mountain_ID" int, "Name" text, "Height" real, "Prominence" real, "Range" text, "Country" text, PRIMARY KEY ("Mountain_ID") ) 3 rows from mountain table: Mountain_ID Name Height Prominence Range Country 1 Kibo (Uhuru Pk) 5895.0 5885.0 Kilimanjaro Tanzania 2 Mount Kenya (Batian) 5199.0 3825.0 Mount Kenya Kenya 3 Mawenzi (Hans Meyer Pk) 5148.0 850.0 Kilimanjaro Tanzania CREATE TABLE "climber" ( "Climber_ID" int, "Name" text, "Country" text, "Time" text, "Points" real, "Mountain_ID" int, PRIMARY KEY ("Climber_ID"), FOREIGN KEY ("Mountain_ID") REFERENCES "mountain"("Mountain_ID") ) 3 rows from climber table: Climber_ID Name Country Time Points Mountain_ID 1 Klaus Enders West Germany 1:13.05.6 15.0 1 2 Siegfried Schauzu West Germany 1:14.56.4 12.0 1 3 Hans Luthringhauser West Germany 1:16.58.0 10.0 2
climbing
What are the names of countains that no climber has climbed?
SELECT Name FROM mountain WHERE Mountain_ID NOT IN (SELECT Mountain_ID FROM climber)
CREATE TABLE "mountain" ( "Mountain_ID" int, "Name" text, "Height" real, "Prominence" real, "Range" text, "Country" text, PRIMARY KEY ("Mountain_ID") ) 3 rows from mountain table: Mountain_ID Name Height Prominence Range Country 1 Kibo (Uhuru Pk) 5895.0 5885.0 Kilimanjaro Tanzania 2 Mount Kenya (Batian) 5199.0 3825.0 Mount Kenya Kenya 3 Mawenzi (Hans Meyer Pk) 5148.0 850.0 Kilimanjaro Tanzania CREATE TABLE "climber" ( "Climber_ID" int, "Name" text, "Country" text, "Time" text, "Points" real, "Mountain_ID" int, PRIMARY KEY ("Climber_ID"), FOREIGN KEY ("Mountain_ID") REFERENCES "mountain"("Mountain_ID") ) 3 rows from climber table: Climber_ID Name Country Time Points Mountain_ID 1 Klaus Enders West Germany 1:13.05.6 15.0 1 2 Siegfried Schauzu West Germany 1:14.56.4 12.0 1 3 Hans Luthringhauser West Germany 1:16.58.0 10.0 2
climbing
Show the countries that have mountains with height more than 5600 stories and mountains with height less than 5200.
SELECT Country FROM mountain WHERE Height > 5600 INTERSECT SELECT Country FROM mountain WHERE Height < 5200
CREATE TABLE "mountain" ( "Mountain_ID" int, "Name" text, "Height" real, "Prominence" real, "Range" text, "Country" text, PRIMARY KEY ("Mountain_ID") ) 3 rows from mountain table: Mountain_ID Name Height Prominence Range Country 1 Kibo (Uhuru Pk) 5895.0 5885.0 Kilimanjaro Tanzania 2 Mount Kenya (Batian) 5199.0 3825.0 Mount Kenya Kenya 3 Mawenzi (Hans Meyer Pk) 5148.0 850.0 Kilimanjaro Tanzania CREATE TABLE "climber" ( "Climber_ID" int, "Name" text, "Country" text, "Time" text, "Points" real, "Mountain_ID" int, PRIMARY KEY ("Climber_ID"), FOREIGN KEY ("Mountain_ID") REFERENCES "mountain"("Mountain_ID") ) 3 rows from climber table: Climber_ID Name Country Time Points Mountain_ID 1 Klaus Enders West Germany 1:13.05.6 15.0 1 2 Siegfried Schauzu West Germany 1:14.56.4 12.0 1 3 Hans Luthringhauser West Germany 1:16.58.0 10.0 2
climbing
What are the countries that have both mountains that are higher than 5600 and lower than 5200?
SELECT Country FROM mountain WHERE Height > 5600 INTERSECT SELECT Country FROM mountain WHERE Height < 5200
CREATE TABLE "mountain" ( "Mountain_ID" int, "Name" text, "Height" real, "Prominence" real, "Range" text, "Country" text, PRIMARY KEY ("Mountain_ID") ) 3 rows from mountain table: Mountain_ID Name Height Prominence Range Country 1 Kibo (Uhuru Pk) 5895.0 5885.0 Kilimanjaro Tanzania 2 Mount Kenya (Batian) 5199.0 3825.0 Mount Kenya Kenya 3 Mawenzi (Hans Meyer Pk) 5148.0 850.0 Kilimanjaro Tanzania CREATE TABLE "climber" ( "Climber_ID" int, "Name" text, "Country" text, "Time" text, "Points" real, "Mountain_ID" int, PRIMARY KEY ("Climber_ID"), FOREIGN KEY ("Mountain_ID") REFERENCES "mountain"("Mountain_ID") ) 3 rows from climber table: Climber_ID Name Country Time Points Mountain_ID 1 Klaus Enders West Germany 1:13.05.6 15.0 1 2 Siegfried Schauzu West Germany 1:14.56.4 12.0 1 3 Hans Luthringhauser West Germany 1:16.58.0 10.0 2
climbing
Show the range that has the most number of mountains.
SELECT Range FROM mountain GROUP BY Range ORDER BY COUNT(*) DESC LIMIT 1
CREATE TABLE "mountain" ( "Mountain_ID" int, "Name" text, "Height" real, "Prominence" real, "Range" text, "Country" text, PRIMARY KEY ("Mountain_ID") ) 3 rows from mountain table: Mountain_ID Name Height Prominence Range Country 1 Kibo (Uhuru Pk) 5895.0 5885.0 Kilimanjaro Tanzania 2 Mount Kenya (Batian) 5199.0 3825.0 Mount Kenya Kenya 3 Mawenzi (Hans Meyer Pk) 5148.0 850.0 Kilimanjaro Tanzania CREATE TABLE "climber" ( "Climber_ID" int, "Name" text, "Country" text, "Time" text, "Points" real, "Mountain_ID" int, PRIMARY KEY ("Climber_ID"), FOREIGN KEY ("Mountain_ID") REFERENCES "mountain"("Mountain_ID") ) 3 rows from climber table: Climber_ID Name Country Time Points Mountain_ID 1 Klaus Enders West Germany 1:13.05.6 15.0 1 2 Siegfried Schauzu West Germany 1:14.56.4 12.0 1 3 Hans Luthringhauser West Germany 1:16.58.0 10.0 2
climbing
Which range contains the most mountains?
SELECT Range FROM mountain GROUP BY Range ORDER BY COUNT(*) DESC LIMIT 1
CREATE TABLE "mountain" ( "Mountain_ID" int, "Name" text, "Height" real, "Prominence" real, "Range" text, "Country" text, PRIMARY KEY ("Mountain_ID") ) 3 rows from mountain table: Mountain_ID Name Height Prominence Range Country 1 Kibo (Uhuru Pk) 5895.0 5885.0 Kilimanjaro Tanzania 2 Mount Kenya (Batian) 5199.0 3825.0 Mount Kenya Kenya 3 Mawenzi (Hans Meyer Pk) 5148.0 850.0 Kilimanjaro Tanzania CREATE TABLE "climber" ( "Climber_ID" int, "Name" text, "Country" text, "Time" text, "Points" real, "Mountain_ID" int, PRIMARY KEY ("Climber_ID"), FOREIGN KEY ("Mountain_ID") REFERENCES "mountain"("Mountain_ID") ) 3 rows from climber table: Climber_ID Name Country Time Points Mountain_ID 1 Klaus Enders West Germany 1:13.05.6 15.0 1 2 Siegfried Schauzu West Germany 1:14.56.4 12.0 1 3 Hans Luthringhauser West Germany 1:16.58.0 10.0 2
climbing
Show the names of mountains with height more than 5000 or prominence more than 1000.
SELECT Name FROM mountain WHERE Height > 5000 OR Prominence > 1000
CREATE TABLE "mountain" ( "Mountain_ID" int, "Name" text, "Height" real, "Prominence" real, "Range" text, "Country" text, PRIMARY KEY ("Mountain_ID") ) 3 rows from mountain table: Mountain_ID Name Height Prominence Range Country 1 Kibo (Uhuru Pk) 5895.0 5885.0 Kilimanjaro Tanzania 2 Mount Kenya (Batian) 5199.0 3825.0 Mount Kenya Kenya 3 Mawenzi (Hans Meyer Pk) 5148.0 850.0 Kilimanjaro Tanzania CREATE TABLE "climber" ( "Climber_ID" int, "Name" text, "Country" text, "Time" text, "Points" real, "Mountain_ID" int, PRIMARY KEY ("Climber_ID"), FOREIGN KEY ("Mountain_ID") REFERENCES "mountain"("Mountain_ID") ) 3 rows from climber table: Climber_ID Name Country Time Points Mountain_ID 1 Klaus Enders West Germany 1:13.05.6 15.0 1 2 Siegfried Schauzu West Germany 1:14.56.4 12.0 1 3 Hans Luthringhauser West Germany 1:16.58.0 10.0 2
climbing
What are the names of mountains that have a height of over 5000 or a prominence of over 1000?
SELECT Name FROM mountain WHERE Height > 5000 OR Prominence > 1000
CREATE TABLE "mountain" ( "Mountain_ID" int, "Name" text, "Height" real, "Prominence" real, "Range" text, "Country" text, PRIMARY KEY ("Mountain_ID") ) 3 rows from mountain table: Mountain_ID Name Height Prominence Range Country 1 Kibo (Uhuru Pk) 5895.0 5885.0 Kilimanjaro Tanzania 2 Mount Kenya (Batian) 5199.0 3825.0 Mount Kenya Kenya 3 Mawenzi (Hans Meyer Pk) 5148.0 850.0 Kilimanjaro Tanzania CREATE TABLE "climber" ( "Climber_ID" int, "Name" text, "Country" text, "Time" text, "Points" real, "Mountain_ID" int, PRIMARY KEY ("Climber_ID"), FOREIGN KEY ("Mountain_ID") REFERENCES "mountain"("Mountain_ID") ) 3 rows from climber table: Climber_ID Name Country Time Points Mountain_ID 1 Klaus Enders West Germany 1:13.05.6 15.0 1 2 Siegfried Schauzu West Germany 1:14.56.4 12.0 1 3 Hans Luthringhauser West Germany 1:16.58.0 10.0 2
body_builder
How many body builders are there?
SELECT count(*) FROM body_builder
CREATE TABLE "body_builder" ( "Body_Builder_ID" int, "People_ID" int, "Snatch" real, "Clean_Jerk" real, "Total" real, PRIMARY KEY ("Body_Builder_ID"), FOREIGN KEY ("People_ID") REFERENCES `people`("People_ID") ) 3 rows from body_builder table: Body_Builder_ID People_ID Snatch Clean_Jerk Total 1 1 142.5 175.0 317.5 2 2 137.5 177.5 315.0 3 3 140.0 175.0 315.0 CREATE TABLE "people" ( "People_ID" int, "Name" text, "Height" real, "Weight" real, "Birth_Date" text, "Birth_Place" text, PRIMARY KEY ("People_ID") ) 3 rows from people table: People_ID Name Height Weight Birth_Date Birth_Place 1 Jack Campbell 182.0 80.0 January 1, 1992 Port Huron, Michigan 2 Ty Conklin 192.0 90.0 March 30, 1976 Anchorage, Alaska 3 Al Montoya 195.0 100.0 February 13, 1985 Glenview, Illinois
body_builder
List the total scores of body builders in ascending order.
SELECT Total FROM body_builder ORDER BY Total ASC
CREATE TABLE "body_builder" ( "Body_Builder_ID" int, "People_ID" int, "Snatch" real, "Clean_Jerk" real, "Total" real, PRIMARY KEY ("Body_Builder_ID"), FOREIGN KEY ("People_ID") REFERENCES `people`("People_ID") ) 3 rows from body_builder table: Body_Builder_ID People_ID Snatch Clean_Jerk Total 1 1 142.5 175.0 317.5 2 2 137.5 177.5 315.0 3 3 140.0 175.0 315.0 CREATE TABLE "people" ( "People_ID" int, "Name" text, "Height" real, "Weight" real, "Birth_Date" text, "Birth_Place" text, PRIMARY KEY ("People_ID") ) 3 rows from people table: People_ID Name Height Weight Birth_Date Birth_Place 1 Jack Campbell 182.0 80.0 January 1, 1992 Port Huron, Michigan 2 Ty Conklin 192.0 90.0 March 30, 1976 Anchorage, Alaska 3 Al Montoya 195.0 100.0 February 13, 1985 Glenview, Illinois
body_builder
List the snatch score and clean jerk score of body builders in ascending order of snatch score.
SELECT Snatch , Clean_Jerk FROM body_builder ORDER BY Snatch ASC
CREATE TABLE "body_builder" ( "Body_Builder_ID" int, "People_ID" int, "Snatch" real, "Clean_Jerk" real, "Total" real, PRIMARY KEY ("Body_Builder_ID"), FOREIGN KEY ("People_ID") REFERENCES `people`("People_ID") ) 3 rows from body_builder table: Body_Builder_ID People_ID Snatch Clean_Jerk Total 1 1 142.5 175.0 317.5 2 2 137.5 177.5 315.0 3 3 140.0 175.0 315.0 CREATE TABLE "people" ( "People_ID" int, "Name" text, "Height" real, "Weight" real, "Birth_Date" text, "Birth_Place" text, PRIMARY KEY ("People_ID") ) 3 rows from people table: People_ID Name Height Weight Birth_Date Birth_Place 1 Jack Campbell 182.0 80.0 January 1, 1992 Port Huron, Michigan 2 Ty Conklin 192.0 90.0 March 30, 1976 Anchorage, Alaska 3 Al Montoya 195.0 100.0 February 13, 1985 Glenview, Illinois
body_builder
What is the average snatch score of body builders?
SELECT avg(Snatch) FROM body_builder
CREATE TABLE "body_builder" ( "Body_Builder_ID" int, "People_ID" int, "Snatch" real, "Clean_Jerk" real, "Total" real, PRIMARY KEY ("Body_Builder_ID"), FOREIGN KEY ("People_ID") REFERENCES `people`("People_ID") ) 3 rows from body_builder table: Body_Builder_ID People_ID Snatch Clean_Jerk Total 1 1 142.5 175.0 317.5 2 2 137.5 177.5 315.0 3 3 140.0 175.0 315.0 CREATE TABLE "people" ( "People_ID" int, "Name" text, "Height" real, "Weight" real, "Birth_Date" text, "Birth_Place" text, PRIMARY KEY ("People_ID") ) 3 rows from people table: People_ID Name Height Weight Birth_Date Birth_Place 1 Jack Campbell 182.0 80.0 January 1, 1992 Port Huron, Michigan 2 Ty Conklin 192.0 90.0 March 30, 1976 Anchorage, Alaska 3 Al Montoya 195.0 100.0 February 13, 1985 Glenview, Illinois
body_builder
What are the clean and jerk score of the body builder with the highest total score?
SELECT Clean_Jerk FROM body_builder ORDER BY Total DESC LIMIT 1
CREATE TABLE "body_builder" ( "Body_Builder_ID" int, "People_ID" int, "Snatch" real, "Clean_Jerk" real, "Total" real, PRIMARY KEY ("Body_Builder_ID"), FOREIGN KEY ("People_ID") REFERENCES `people`("People_ID") ) 3 rows from body_builder table: Body_Builder_ID People_ID Snatch Clean_Jerk Total 1 1 142.5 175.0 317.5 2 2 137.5 177.5 315.0 3 3 140.0 175.0 315.0 CREATE TABLE "people" ( "People_ID" int, "Name" text, "Height" real, "Weight" real, "Birth_Date" text, "Birth_Place" text, PRIMARY KEY ("People_ID") ) 3 rows from people table: People_ID Name Height Weight Birth_Date Birth_Place 1 Jack Campbell 182.0 80.0 January 1, 1992 Port Huron, Michigan 2 Ty Conklin 192.0 90.0 March 30, 1976 Anchorage, Alaska 3 Al Montoya 195.0 100.0 February 13, 1985 Glenview, Illinois
body_builder
What are the birthdays of people in ascending order of height?
SELECT Birth_Date FROM People ORDER BY Height ASC
CREATE TABLE "body_builder" ( "Body_Builder_ID" int, "People_ID" int, "Snatch" real, "Clean_Jerk" real, "Total" real, PRIMARY KEY ("Body_Builder_ID"), FOREIGN KEY ("People_ID") REFERENCES `people`("People_ID") ) 3 rows from body_builder table: Body_Builder_ID People_ID Snatch Clean_Jerk Total 1 1 142.5 175.0 317.5 2 2 137.5 177.5 315.0 3 3 140.0 175.0 315.0 CREATE TABLE "people" ( "People_ID" int, "Name" text, "Height" real, "Weight" real, "Birth_Date" text, "Birth_Place" text, PRIMARY KEY ("People_ID") ) 3 rows from people table: People_ID Name Height Weight Birth_Date Birth_Place 1 Jack Campbell 182.0 80.0 January 1, 1992 Port Huron, Michigan 2 Ty Conklin 192.0 90.0 March 30, 1976 Anchorage, Alaska 3 Al Montoya 195.0 100.0 February 13, 1985 Glenview, Illinois
body_builder
What are the names of body builders?
SELECT T2.Name FROM body_builder AS T1 JOIN people AS T2 ON T1.People_ID = T2.People_ID
CREATE TABLE "body_builder" ( "Body_Builder_ID" int, "People_ID" int, "Snatch" real, "Clean_Jerk" real, "Total" real, PRIMARY KEY ("Body_Builder_ID"), FOREIGN KEY ("People_ID") REFERENCES `people`("People_ID") ) 3 rows from body_builder table: Body_Builder_ID People_ID Snatch Clean_Jerk Total 1 1 142.5 175.0 317.5 2 2 137.5 177.5 315.0 3 3 140.0 175.0 315.0 CREATE TABLE "people" ( "People_ID" int, "Name" text, "Height" real, "Weight" real, "Birth_Date" text, "Birth_Place" text, PRIMARY KEY ("People_ID") ) 3 rows from people table: People_ID Name Height Weight Birth_Date Birth_Place 1 Jack Campbell 182.0 80.0 January 1, 1992 Port Huron, Michigan 2 Ty Conklin 192.0 90.0 March 30, 1976 Anchorage, Alaska 3 Al Montoya 195.0 100.0 February 13, 1985 Glenview, Illinois
body_builder
What are the names of body builders whose total score is higher than 300?
SELECT T2.Name FROM body_builder AS T1 JOIN people AS T2 ON T1.People_ID = T2.People_ID WHERE T1.Total > 300
CREATE TABLE "body_builder" ( "Body_Builder_ID" int, "People_ID" int, "Snatch" real, "Clean_Jerk" real, "Total" real, PRIMARY KEY ("Body_Builder_ID"), FOREIGN KEY ("People_ID") REFERENCES `people`("People_ID") ) 3 rows from body_builder table: Body_Builder_ID People_ID Snatch Clean_Jerk Total 1 1 142.5 175.0 317.5 2 2 137.5 177.5 315.0 3 3 140.0 175.0 315.0 CREATE TABLE "people" ( "People_ID" int, "Name" text, "Height" real, "Weight" real, "Birth_Date" text, "Birth_Place" text, PRIMARY KEY ("People_ID") ) 3 rows from people table: People_ID Name Height Weight Birth_Date Birth_Place 1 Jack Campbell 182.0 80.0 January 1, 1992 Port Huron, Michigan 2 Ty Conklin 192.0 90.0 March 30, 1976 Anchorage, Alaska 3 Al Montoya 195.0 100.0 February 13, 1985 Glenview, Illinois
body_builder
What is the name of the body builder with the greatest body weight?
SELECT T2.Name FROM body_builder AS T1 JOIN people AS T2 ON T1.People_ID = T2.People_ID ORDER BY T2.Weight DESC LIMIT 1
CREATE TABLE "body_builder" ( "Body_Builder_ID" int, "People_ID" int, "Snatch" real, "Clean_Jerk" real, "Total" real, PRIMARY KEY ("Body_Builder_ID"), FOREIGN KEY ("People_ID") REFERENCES `people`("People_ID") ) 3 rows from body_builder table: Body_Builder_ID People_ID Snatch Clean_Jerk Total 1 1 142.5 175.0 317.5 2 2 137.5 177.5 315.0 3 3 140.0 175.0 315.0 CREATE TABLE "people" ( "People_ID" int, "Name" text, "Height" real, "Weight" real, "Birth_Date" text, "Birth_Place" text, PRIMARY KEY ("People_ID") ) 3 rows from people table: People_ID Name Height Weight Birth_Date Birth_Place 1 Jack Campbell 182.0 80.0 January 1, 1992 Port Huron, Michigan 2 Ty Conklin 192.0 90.0 March 30, 1976 Anchorage, Alaska 3 Al Montoya 195.0 100.0 February 13, 1985 Glenview, Illinois
body_builder
What are the birth date and birth place of the body builder with the highest total points?
SELECT T2.Birth_Date , T2.Birth_Place FROM body_builder AS T1 JOIN people AS T2 ON T1.People_ID = T2.People_ID ORDER BY T1.Total DESC LIMIT 1
CREATE TABLE "body_builder" ( "Body_Builder_ID" int, "People_ID" int, "Snatch" real, "Clean_Jerk" real, "Total" real, PRIMARY KEY ("Body_Builder_ID"), FOREIGN KEY ("People_ID") REFERENCES `people`("People_ID") ) 3 rows from body_builder table: Body_Builder_ID People_ID Snatch Clean_Jerk Total 1 1 142.5 175.0 317.5 2 2 137.5 177.5 315.0 3 3 140.0 175.0 315.0 CREATE TABLE "people" ( "People_ID" int, "Name" text, "Height" real, "Weight" real, "Birth_Date" text, "Birth_Place" text, PRIMARY KEY ("People_ID") ) 3 rows from people table: People_ID Name Height Weight Birth_Date Birth_Place 1 Jack Campbell 182.0 80.0 January 1, 1992 Port Huron, Michigan 2 Ty Conklin 192.0 90.0 March 30, 1976 Anchorage, Alaska 3 Al Montoya 195.0 100.0 February 13, 1985 Glenview, Illinois
body_builder
What are the heights of body builders with total score smaller than 315?
SELECT T2.Height FROM body_builder AS T1 JOIN people AS T2 ON T1.People_ID = T2.People_ID WHERE T1.Total < 315
CREATE TABLE "body_builder" ( "Body_Builder_ID" int, "People_ID" int, "Snatch" real, "Clean_Jerk" real, "Total" real, PRIMARY KEY ("Body_Builder_ID"), FOREIGN KEY ("People_ID") REFERENCES `people`("People_ID") ) 3 rows from body_builder table: Body_Builder_ID People_ID Snatch Clean_Jerk Total 1 1 142.5 175.0 317.5 2 2 137.5 177.5 315.0 3 3 140.0 175.0 315.0 CREATE TABLE "people" ( "People_ID" int, "Name" text, "Height" real, "Weight" real, "Birth_Date" text, "Birth_Place" text, PRIMARY KEY ("People_ID") ) 3 rows from people table: People_ID Name Height Weight Birth_Date Birth_Place 1 Jack Campbell 182.0 80.0 January 1, 1992 Port Huron, Michigan 2 Ty Conklin 192.0 90.0 March 30, 1976 Anchorage, Alaska 3 Al Montoya 195.0 100.0 February 13, 1985 Glenview, Illinois
body_builder
What is the average total score of body builders with height bigger than 200?
SELECT avg(T1.Total) FROM body_builder AS T1 JOIN people AS T2 ON T1.People_ID = T2.People_ID WHERE T2.Height > 200
CREATE TABLE "body_builder" ( "Body_Builder_ID" int, "People_ID" int, "Snatch" real, "Clean_Jerk" real, "Total" real, PRIMARY KEY ("Body_Builder_ID"), FOREIGN KEY ("People_ID") REFERENCES `people`("People_ID") ) 3 rows from body_builder table: Body_Builder_ID People_ID Snatch Clean_Jerk Total 1 1 142.5 175.0 317.5 2 2 137.5 177.5 315.0 3 3 140.0 175.0 315.0 CREATE TABLE "people" ( "People_ID" int, "Name" text, "Height" real, "Weight" real, "Birth_Date" text, "Birth_Place" text, PRIMARY KEY ("People_ID") ) 3 rows from people table: People_ID Name Height Weight Birth_Date Birth_Place 1 Jack Campbell 182.0 80.0 January 1, 1992 Port Huron, Michigan 2 Ty Conklin 192.0 90.0 March 30, 1976 Anchorage, Alaska 3 Al Montoya 195.0 100.0 February 13, 1985 Glenview, Illinois
body_builder
What are the names of body builders in descending order of total scores?
SELECT T2.Name FROM body_builder AS T1 JOIN people AS T2 ON T1.People_ID = T2.People_ID ORDER BY T1.Total DESC
CREATE TABLE "body_builder" ( "Body_Builder_ID" int, "People_ID" int, "Snatch" real, "Clean_Jerk" real, "Total" real, PRIMARY KEY ("Body_Builder_ID"), FOREIGN KEY ("People_ID") REFERENCES `people`("People_ID") ) 3 rows from body_builder table: Body_Builder_ID People_ID Snatch Clean_Jerk Total 1 1 142.5 175.0 317.5 2 2 137.5 177.5 315.0 3 3 140.0 175.0 315.0 CREATE TABLE "people" ( "People_ID" int, "Name" text, "Height" real, "Weight" real, "Birth_Date" text, "Birth_Place" text, PRIMARY KEY ("People_ID") ) 3 rows from people table: People_ID Name Height Weight Birth_Date Birth_Place 1 Jack Campbell 182.0 80.0 January 1, 1992 Port Huron, Michigan 2 Ty Conklin 192.0 90.0 March 30, 1976 Anchorage, Alaska 3 Al Montoya 195.0 100.0 February 13, 1985 Glenview, Illinois
body_builder
List each birth place along with the number of people from there.
SELECT Birth_Place , COUNT(*) FROM people GROUP BY Birth_Place
CREATE TABLE "body_builder" ( "Body_Builder_ID" int, "People_ID" int, "Snatch" real, "Clean_Jerk" real, "Total" real, PRIMARY KEY ("Body_Builder_ID"), FOREIGN KEY ("People_ID") REFERENCES `people`("People_ID") ) 3 rows from body_builder table: Body_Builder_ID People_ID Snatch Clean_Jerk Total 1 1 142.5 175.0 317.5 2 2 137.5 177.5 315.0 3 3 140.0 175.0 315.0 CREATE TABLE "people" ( "People_ID" int, "Name" text, "Height" real, "Weight" real, "Birth_Date" text, "Birth_Place" text, PRIMARY KEY ("People_ID") ) 3 rows from people table: People_ID Name Height Weight Birth_Date Birth_Place 1 Jack Campbell 182.0 80.0 January 1, 1992 Port Huron, Michigan 2 Ty Conklin 192.0 90.0 March 30, 1976 Anchorage, Alaska 3 Al Montoya 195.0 100.0 February 13, 1985 Glenview, Illinois
body_builder
What is the most common birth place of people?
SELECT Birth_Place FROM people GROUP BY Birth_Place ORDER BY COUNT(*) DESC LIMIT 1
CREATE TABLE "body_builder" ( "Body_Builder_ID" int, "People_ID" int, "Snatch" real, "Clean_Jerk" real, "Total" real, PRIMARY KEY ("Body_Builder_ID"), FOREIGN KEY ("People_ID") REFERENCES `people`("People_ID") ) 3 rows from body_builder table: Body_Builder_ID People_ID Snatch Clean_Jerk Total 1 1 142.5 175.0 317.5 2 2 137.5 177.5 315.0 3 3 140.0 175.0 315.0 CREATE TABLE "people" ( "People_ID" int, "Name" text, "Height" real, "Weight" real, "Birth_Date" text, "Birth_Place" text, PRIMARY KEY ("People_ID") ) 3 rows from people table: People_ID Name Height Weight Birth_Date Birth_Place 1 Jack Campbell 182.0 80.0 January 1, 1992 Port Huron, Michigan 2 Ty Conklin 192.0 90.0 March 30, 1976 Anchorage, Alaska 3 Al Montoya 195.0 100.0 February 13, 1985 Glenview, Illinois
body_builder
What are the birth places that are shared by at least two people?
SELECT Birth_Place FROM people GROUP BY Birth_Place HAVING COUNT(*) >= 2
CREATE TABLE "body_builder" ( "Body_Builder_ID" int, "People_ID" int, "Snatch" real, "Clean_Jerk" real, "Total" real, PRIMARY KEY ("Body_Builder_ID"), FOREIGN KEY ("People_ID") REFERENCES `people`("People_ID") ) 3 rows from body_builder table: Body_Builder_ID People_ID Snatch Clean_Jerk Total 1 1 142.5 175.0 317.5 2 2 137.5 177.5 315.0 3 3 140.0 175.0 315.0 CREATE TABLE "people" ( "People_ID" int, "Name" text, "Height" real, "Weight" real, "Birth_Date" text, "Birth_Place" text, PRIMARY KEY ("People_ID") ) 3 rows from people table: People_ID Name Height Weight Birth_Date Birth_Place 1 Jack Campbell 182.0 80.0 January 1, 1992 Port Huron, Michigan 2 Ty Conklin 192.0 90.0 March 30, 1976 Anchorage, Alaska 3 Al Montoya 195.0 100.0 February 13, 1985 Glenview, Illinois
body_builder
List the height and weight of people in descending order of height.
SELECT Height , Weight FROM people ORDER BY Height DESC
CREATE TABLE "body_builder" ( "Body_Builder_ID" int, "People_ID" int, "Snatch" real, "Clean_Jerk" real, "Total" real, PRIMARY KEY ("Body_Builder_ID"), FOREIGN KEY ("People_ID") REFERENCES `people`("People_ID") ) 3 rows from body_builder table: Body_Builder_ID People_ID Snatch Clean_Jerk Total 1 1 142.5 175.0 317.5 2 2 137.5 177.5 315.0 3 3 140.0 175.0 315.0 CREATE TABLE "people" ( "People_ID" int, "Name" text, "Height" real, "Weight" real, "Birth_Date" text, "Birth_Place" text, PRIMARY KEY ("People_ID") ) 3 rows from people table: People_ID Name Height Weight Birth_Date Birth_Place 1 Jack Campbell 182.0 80.0 January 1, 1992 Port Huron, Michigan 2 Ty Conklin 192.0 90.0 March 30, 1976 Anchorage, Alaska 3 Al Montoya 195.0 100.0 February 13, 1985 Glenview, Illinois
body_builder
Show all information about each body builder.
SELECT * FROM body_builder
CREATE TABLE "body_builder" ( "Body_Builder_ID" int, "People_ID" int, "Snatch" real, "Clean_Jerk" real, "Total" real, PRIMARY KEY ("Body_Builder_ID"), FOREIGN KEY ("People_ID") REFERENCES `people`("People_ID") ) 3 rows from body_builder table: Body_Builder_ID People_ID Snatch Clean_Jerk Total 1 1 142.5 175.0 317.5 2 2 137.5 177.5 315.0 3 3 140.0 175.0 315.0 CREATE TABLE "people" ( "People_ID" int, "Name" text, "Height" real, "Weight" real, "Birth_Date" text, "Birth_Place" text, PRIMARY KEY ("People_ID") ) 3 rows from people table: People_ID Name Height Weight Birth_Date Birth_Place 1 Jack Campbell 182.0 80.0 January 1, 1992 Port Huron, Michigan 2 Ty Conklin 192.0 90.0 March 30, 1976 Anchorage, Alaska 3 Al Montoya 195.0 100.0 February 13, 1985 Glenview, Illinois
body_builder
List the names and origins of people who are not body builders.
SELECT Name , birth_place FROM people EXCEPT SELECT T1.Name , T1.birth_place FROM people AS T1 JOIN body_builder AS T2 ON T1.people_id = T2.people_id
CREATE TABLE "body_builder" ( "Body_Builder_ID" int, "People_ID" int, "Snatch" real, "Clean_Jerk" real, "Total" real, PRIMARY KEY ("Body_Builder_ID"), FOREIGN KEY ("People_ID") REFERENCES `people`("People_ID") ) 3 rows from body_builder table: Body_Builder_ID People_ID Snatch Clean_Jerk Total 1 1 142.5 175.0 317.5 2 2 137.5 177.5 315.0 3 3 140.0 175.0 315.0 CREATE TABLE "people" ( "People_ID" int, "Name" text, "Height" real, "Weight" real, "Birth_Date" text, "Birth_Place" text, PRIMARY KEY ("People_ID") ) 3 rows from people table: People_ID Name Height Weight Birth_Date Birth_Place 1 Jack Campbell 182.0 80.0 January 1, 1992 Port Huron, Michigan 2 Ty Conklin 192.0 90.0 March 30, 1976 Anchorage, Alaska 3 Al Montoya 195.0 100.0 February 13, 1985 Glenview, Illinois
body_builder
How many distinct birth places are there?
SELECT count(DISTINCT Birth_Place) FROM people
CREATE TABLE "body_builder" ( "Body_Builder_ID" int, "People_ID" int, "Snatch" real, "Clean_Jerk" real, "Total" real, PRIMARY KEY ("Body_Builder_ID"), FOREIGN KEY ("People_ID") REFERENCES `people`("People_ID") ) 3 rows from body_builder table: Body_Builder_ID People_ID Snatch Clean_Jerk Total 1 1 142.5 175.0 317.5 2 2 137.5 177.5 315.0 3 3 140.0 175.0 315.0 CREATE TABLE "people" ( "People_ID" int, "Name" text, "Height" real, "Weight" real, "Birth_Date" text, "Birth_Place" text, PRIMARY KEY ("People_ID") ) 3 rows from people table: People_ID Name Height Weight Birth_Date Birth_Place 1 Jack Campbell 182.0 80.0 January 1, 1992 Port Huron, Michigan 2 Ty Conklin 192.0 90.0 March 30, 1976 Anchorage, Alaska 3 Al Montoya 195.0 100.0 February 13, 1985 Glenview, Illinois
body_builder
How many persons are not body builders?
SELECT count(*) FROM people WHERE people_id NOT IN (SELECT People_ID FROM body_builder)
CREATE TABLE "body_builder" ( "Body_Builder_ID" int, "People_ID" int, "Snatch" real, "Clean_Jerk" real, "Total" real, PRIMARY KEY ("Body_Builder_ID"), FOREIGN KEY ("People_ID") REFERENCES `people`("People_ID") ) 3 rows from body_builder table: Body_Builder_ID People_ID Snatch Clean_Jerk Total 1 1 142.5 175.0 317.5 2 2 137.5 177.5 315.0 3 3 140.0 175.0 315.0 CREATE TABLE "people" ( "People_ID" int, "Name" text, "Height" real, "Weight" real, "Birth_Date" text, "Birth_Place" text, PRIMARY KEY ("People_ID") ) 3 rows from people table: People_ID Name Height Weight Birth_Date Birth_Place 1 Jack Campbell 182.0 80.0 January 1, 1992 Port Huron, Michigan 2 Ty Conklin 192.0 90.0 March 30, 1976 Anchorage, Alaska 3 Al Montoya 195.0 100.0 February 13, 1985 Glenview, Illinois
body_builder
List the weight of the body builders who have snatch score higher than 140 or have the height greater than 200.
SELECT T2.weight FROM body_builder AS T1 JOIN people AS T2 ON T1.people_id = T2.people_id WHERE T1.snatch > 140 OR T2.height > 200;
CREATE TABLE "body_builder" ( "Body_Builder_ID" int, "People_ID" int, "Snatch" real, "Clean_Jerk" real, "Total" real, PRIMARY KEY ("Body_Builder_ID"), FOREIGN KEY ("People_ID") REFERENCES `people`("People_ID") ) 3 rows from body_builder table: Body_Builder_ID People_ID Snatch Clean_Jerk Total 1 1 142.5 175.0 317.5 2 2 137.5 177.5 315.0 3 3 140.0 175.0 315.0 CREATE TABLE "people" ( "People_ID" int, "Name" text, "Height" real, "Weight" real, "Birth_Date" text, "Birth_Place" text, PRIMARY KEY ("People_ID") ) 3 rows from people table: People_ID Name Height Weight Birth_Date Birth_Place 1 Jack Campbell 182.0 80.0 January 1, 1992 Port Huron, Michigan 2 Ty Conklin 192.0 90.0 March 30, 1976 Anchorage, Alaska 3 Al Montoya 195.0 100.0 February 13, 1985 Glenview, Illinois
body_builder
What are the total scores of the body builders whose birthday contains the string "January" ?
SELECT T1.total FROM body_builder AS T1 JOIN people AS T2 ON T1.people_id = T2.people_id WHERE T2.Birth_Date LIKE "%January%";
CREATE TABLE "body_builder" ( "Body_Builder_ID" int, "People_ID" int, "Snatch" real, "Clean_Jerk" real, "Total" real, PRIMARY KEY ("Body_Builder_ID"), FOREIGN KEY ("People_ID") REFERENCES `people`("People_ID") ) 3 rows from body_builder table: Body_Builder_ID People_ID Snatch Clean_Jerk Total 1 1 142.5 175.0 317.5 2 2 137.5 177.5 315.0 3 3 140.0 175.0 315.0 CREATE TABLE "people" ( "People_ID" int, "Name" text, "Height" real, "Weight" real, "Birth_Date" text, "Birth_Place" text, PRIMARY KEY ("People_ID") ) 3 rows from people table: People_ID Name Height Weight Birth_Date Birth_Place 1 Jack Campbell 182.0 80.0 January 1, 1992 Port Huron, Michigan 2 Ty Conklin 192.0 90.0 March 30, 1976 Anchorage, Alaska 3 Al Montoya 195.0 100.0 February 13, 1985 Glenview, Illinois
body_builder
What is the minimum snatch score?
SELECT min(snatch) FROM body_builder
CREATE TABLE "body_builder" ( "Body_Builder_ID" int, "People_ID" int, "Snatch" real, "Clean_Jerk" real, "Total" real, PRIMARY KEY ("Body_Builder_ID"), FOREIGN KEY ("People_ID") REFERENCES `people`("People_ID") ) 3 rows from body_builder table: Body_Builder_ID People_ID Snatch Clean_Jerk Total 1 1 142.5 175.0 317.5 2 2 137.5 177.5 315.0 3 3 140.0 175.0 315.0 CREATE TABLE "people" ( "People_ID" int, "Name" text, "Height" real, "Weight" real, "Birth_Date" text, "Birth_Place" text, PRIMARY KEY ("People_ID") ) 3 rows from people table: People_ID Name Height Weight Birth_Date Birth_Place 1 Jack Campbell 182.0 80.0 January 1, 1992 Port Huron, Michigan 2 Ty Conklin 192.0 90.0 March 30, 1976 Anchorage, Alaska 3 Al Montoya 195.0 100.0 February 13, 1985 Glenview, Illinois
election_representative
How many elections are there?
SELECT count(*) FROM election
CREATE TABLE "election" ( "Election_ID" int, "Representative_ID" int, "Date" text, "Votes" real, "Vote_Percent" real, "Seats" real, "Place" real, PRIMARY KEY ("Election_ID"), FOREIGN KEY ("Representative_ID") REFERENCES `representative`("Representative_ID") ) 3 rows from election table: Election_ID Representative_ID Date Votes Vote_Percent Seats Place 1 1 July 1942 9423.0 16.2 6.0 3.0 2 2 October 1942 11059.0 18.5 10.0 1.0 3 4 1946 13049.0 19.5 10.0 2.0 CREATE TABLE "representative" ( "Representative_ID" int, "Name" text, "State" text, "Party" text, "Lifespan" text, PRIMARY KEY ("Representative_ID") ) 3 rows from representative table: Representative_ID Name State Party Lifespan 1 Dan Quayle Indiana Republican 1947– 2 John Quayle New York Democratic 1868–1930 3 Al Quie Minnesota Republican 1923–
election_representative
List the votes of elections in descending order.
SELECT Votes FROM election ORDER BY Votes DESC
CREATE TABLE "election" ( "Election_ID" int, "Representative_ID" int, "Date" text, "Votes" real, "Vote_Percent" real, "Seats" real, "Place" real, PRIMARY KEY ("Election_ID"), FOREIGN KEY ("Representative_ID") REFERENCES `representative`("Representative_ID") ) 3 rows from election table: Election_ID Representative_ID Date Votes Vote_Percent Seats Place 1 1 July 1942 9423.0 16.2 6.0 3.0 2 2 October 1942 11059.0 18.5 10.0 1.0 3 4 1946 13049.0 19.5 10.0 2.0 CREATE TABLE "representative" ( "Representative_ID" int, "Name" text, "State" text, "Party" text, "Lifespan" text, PRIMARY KEY ("Representative_ID") ) 3 rows from representative table: Representative_ID Name State Party Lifespan 1 Dan Quayle Indiana Republican 1947– 2 John Quayle New York Democratic 1868–1930 3 Al Quie Minnesota Republican 1923–
election_representative
List the dates and vote percents of elections.
SELECT Date , Vote_Percent FROM election
CREATE TABLE "election" ( "Election_ID" int, "Representative_ID" int, "Date" text, "Votes" real, "Vote_Percent" real, "Seats" real, "Place" real, PRIMARY KEY ("Election_ID"), FOREIGN KEY ("Representative_ID") REFERENCES `representative`("Representative_ID") ) 3 rows from election table: Election_ID Representative_ID Date Votes Vote_Percent Seats Place 1 1 July 1942 9423.0 16.2 6.0 3.0 2 2 October 1942 11059.0 18.5 10.0 1.0 3 4 1946 13049.0 19.5 10.0 2.0 CREATE TABLE "representative" ( "Representative_ID" int, "Name" text, "State" text, "Party" text, "Lifespan" text, PRIMARY KEY ("Representative_ID") ) 3 rows from representative table: Representative_ID Name State Party Lifespan 1 Dan Quayle Indiana Republican 1947– 2 John Quayle New York Democratic 1868–1930 3 Al Quie Minnesota Republican 1923–
election_representative
What are the minimum and maximum vote percents of elections?
SELECT min(Vote_Percent) , max(Vote_Percent) FROM election
CREATE TABLE "election" ( "Election_ID" int, "Representative_ID" int, "Date" text, "Votes" real, "Vote_Percent" real, "Seats" real, "Place" real, PRIMARY KEY ("Election_ID"), FOREIGN KEY ("Representative_ID") REFERENCES `representative`("Representative_ID") ) 3 rows from election table: Election_ID Representative_ID Date Votes Vote_Percent Seats Place 1 1 July 1942 9423.0 16.2 6.0 3.0 2 2 October 1942 11059.0 18.5 10.0 1.0 3 4 1946 13049.0 19.5 10.0 2.0 CREATE TABLE "representative" ( "Representative_ID" int, "Name" text, "State" text, "Party" text, "Lifespan" text, PRIMARY KEY ("Representative_ID") ) 3 rows from representative table: Representative_ID Name State Party Lifespan 1 Dan Quayle Indiana Republican 1947– 2 John Quayle New York Democratic 1868–1930 3 Al Quie Minnesota Republican 1923–
election_representative
What are the names and parties of representatives?
SELECT Name , Party FROM representative
CREATE TABLE "election" ( "Election_ID" int, "Representative_ID" int, "Date" text, "Votes" real, "Vote_Percent" real, "Seats" real, "Place" real, PRIMARY KEY ("Election_ID"), FOREIGN KEY ("Representative_ID") REFERENCES `representative`("Representative_ID") ) 3 rows from election table: Election_ID Representative_ID Date Votes Vote_Percent Seats Place 1 1 July 1942 9423.0 16.2 6.0 3.0 2 2 October 1942 11059.0 18.5 10.0 1.0 3 4 1946 13049.0 19.5 10.0 2.0 CREATE TABLE "representative" ( "Representative_ID" int, "Name" text, "State" text, "Party" text, "Lifespan" text, PRIMARY KEY ("Representative_ID") ) 3 rows from representative table: Representative_ID Name State Party Lifespan 1 Dan Quayle Indiana Republican 1947– 2 John Quayle New York Democratic 1868–1930 3 Al Quie Minnesota Republican 1923–
election_representative
What are the names of representatives whose party is not "Republican"?
SELECT Name FROM Representative WHERE Party != "Republican"
CREATE TABLE "election" ( "Election_ID" int, "Representative_ID" int, "Date" text, "Votes" real, "Vote_Percent" real, "Seats" real, "Place" real, PRIMARY KEY ("Election_ID"), FOREIGN KEY ("Representative_ID") REFERENCES `representative`("Representative_ID") ) 3 rows from election table: Election_ID Representative_ID Date Votes Vote_Percent Seats Place 1 1 July 1942 9423.0 16.2 6.0 3.0 2 2 October 1942 11059.0 18.5 10.0 1.0 3 4 1946 13049.0 19.5 10.0 2.0 CREATE TABLE "representative" ( "Representative_ID" int, "Name" text, "State" text, "Party" text, "Lifespan" text, PRIMARY KEY ("Representative_ID") ) 3 rows from representative table: Representative_ID Name State Party Lifespan 1 Dan Quayle Indiana Republican 1947– 2 John Quayle New York Democratic 1868–1930 3 Al Quie Minnesota Republican 1923–
election_representative
What are the life spans of representatives from New York state or Indiana state?
SELECT Lifespan FROM representative WHERE State = "New York" OR State = "Indiana"
CREATE TABLE "election" ( "Election_ID" int, "Representative_ID" int, "Date" text, "Votes" real, "Vote_Percent" real, "Seats" real, "Place" real, PRIMARY KEY ("Election_ID"), FOREIGN KEY ("Representative_ID") REFERENCES `representative`("Representative_ID") ) 3 rows from election table: Election_ID Representative_ID Date Votes Vote_Percent Seats Place 1 1 July 1942 9423.0 16.2 6.0 3.0 2 2 October 1942 11059.0 18.5 10.0 1.0 3 4 1946 13049.0 19.5 10.0 2.0 CREATE TABLE "representative" ( "Representative_ID" int, "Name" text, "State" text, "Party" text, "Lifespan" text, PRIMARY KEY ("Representative_ID") ) 3 rows from representative table: Representative_ID Name State Party Lifespan 1 Dan Quayle Indiana Republican 1947– 2 John Quayle New York Democratic 1868–1930 3 Al Quie Minnesota Republican 1923–
election_representative
What are the names of representatives and the dates of elections they participated in.
SELECT T2.Name , T1.Date FROM election AS T1 JOIN representative AS T2 ON T1.Representative_ID = T2.Representative_ID
CREATE TABLE "election" ( "Election_ID" int, "Representative_ID" int, "Date" text, "Votes" real, "Vote_Percent" real, "Seats" real, "Place" real, PRIMARY KEY ("Election_ID"), FOREIGN KEY ("Representative_ID") REFERENCES `representative`("Representative_ID") ) 3 rows from election table: Election_ID Representative_ID Date Votes Vote_Percent Seats Place 1 1 July 1942 9423.0 16.2 6.0 3.0 2 2 October 1942 11059.0 18.5 10.0 1.0 3 4 1946 13049.0 19.5 10.0 2.0 CREATE TABLE "representative" ( "Representative_ID" int, "Name" text, "State" text, "Party" text, "Lifespan" text, PRIMARY KEY ("Representative_ID") ) 3 rows from representative table: Representative_ID Name State Party Lifespan 1 Dan Quayle Indiana Republican 1947– 2 John Quayle New York Democratic 1868–1930 3 Al Quie Minnesota Republican 1923–
election_representative
What are the names of representatives with more than 10000 votes in election?
SELECT T2.Name FROM election AS T1 JOIN representative AS T2 ON T1.Representative_ID = T2.Representative_ID WHERE Votes > 10000
CREATE TABLE "election" ( "Election_ID" int, "Representative_ID" int, "Date" text, "Votes" real, "Vote_Percent" real, "Seats" real, "Place" real, PRIMARY KEY ("Election_ID"), FOREIGN KEY ("Representative_ID") REFERENCES `representative`("Representative_ID") ) 3 rows from election table: Election_ID Representative_ID Date Votes Vote_Percent Seats Place 1 1 July 1942 9423.0 16.2 6.0 3.0 2 2 October 1942 11059.0 18.5 10.0 1.0 3 4 1946 13049.0 19.5 10.0 2.0 CREATE TABLE "representative" ( "Representative_ID" int, "Name" text, "State" text, "Party" text, "Lifespan" text, PRIMARY KEY ("Representative_ID") ) 3 rows from representative table: Representative_ID Name State Party Lifespan 1 Dan Quayle Indiana Republican 1947– 2 John Quayle New York Democratic 1868–1930 3 Al Quie Minnesota Republican 1923–
election_representative
What are the names of representatives in descending order of votes?
SELECT T2.Name FROM election AS T1 JOIN representative AS T2 ON T1.Representative_ID = T2.Representative_ID ORDER BY votes DESC
CREATE TABLE "election" ( "Election_ID" int, "Representative_ID" int, "Date" text, "Votes" real, "Vote_Percent" real, "Seats" real, "Place" real, PRIMARY KEY ("Election_ID"), FOREIGN KEY ("Representative_ID") REFERENCES `representative`("Representative_ID") ) 3 rows from election table: Election_ID Representative_ID Date Votes Vote_Percent Seats Place 1 1 July 1942 9423.0 16.2 6.0 3.0 2 2 October 1942 11059.0 18.5 10.0 1.0 3 4 1946 13049.0 19.5 10.0 2.0 CREATE TABLE "representative" ( "Representative_ID" int, "Name" text, "State" text, "Party" text, "Lifespan" text, PRIMARY KEY ("Representative_ID") ) 3 rows from representative table: Representative_ID Name State Party Lifespan 1 Dan Quayle Indiana Republican 1947– 2 John Quayle New York Democratic 1868–1930 3 Al Quie Minnesota Republican 1923–
election_representative
What is the party of the representative that has the smallest number of votes.
SELECT T2.Party FROM election AS T1 JOIN representative AS T2 ON T1.Representative_ID = T2.Representative_ID ORDER BY votes ASC LIMIT 1
CREATE TABLE "election" ( "Election_ID" int, "Representative_ID" int, "Date" text, "Votes" real, "Vote_Percent" real, "Seats" real, "Place" real, PRIMARY KEY ("Election_ID"), FOREIGN KEY ("Representative_ID") REFERENCES `representative`("Representative_ID") ) 3 rows from election table: Election_ID Representative_ID Date Votes Vote_Percent Seats Place 1 1 July 1942 9423.0 16.2 6.0 3.0 2 2 October 1942 11059.0 18.5 10.0 1.0 3 4 1946 13049.0 19.5 10.0 2.0 CREATE TABLE "representative" ( "Representative_ID" int, "Name" text, "State" text, "Party" text, "Lifespan" text, PRIMARY KEY ("Representative_ID") ) 3 rows from representative table: Representative_ID Name State Party Lifespan 1 Dan Quayle Indiana Republican 1947– 2 John Quayle New York Democratic 1868–1930 3 Al Quie Minnesota Republican 1923–
election_representative
What are the lifespans of representatives in descending order of vote percent?
SELECT T2.Lifespan FROM election AS T1 JOIN representative AS T2 ON T1.Representative_ID = T2.Representative_ID ORDER BY Vote_Percent DESC
CREATE TABLE "election" ( "Election_ID" int, "Representative_ID" int, "Date" text, "Votes" real, "Vote_Percent" real, "Seats" real, "Place" real, PRIMARY KEY ("Election_ID"), FOREIGN KEY ("Representative_ID") REFERENCES `representative`("Representative_ID") ) 3 rows from election table: Election_ID Representative_ID Date Votes Vote_Percent Seats Place 1 1 July 1942 9423.0 16.2 6.0 3.0 2 2 October 1942 11059.0 18.5 10.0 1.0 3 4 1946 13049.0 19.5 10.0 2.0 CREATE TABLE "representative" ( "Representative_ID" int, "Name" text, "State" text, "Party" text, "Lifespan" text, PRIMARY KEY ("Representative_ID") ) 3 rows from representative table: Representative_ID Name State Party Lifespan 1 Dan Quayle Indiana Republican 1947– 2 John Quayle New York Democratic 1868–1930 3 Al Quie Minnesota Republican 1923–
election_representative
What is the average number of votes of representatives from party "Republican"?
SELECT avg(T1.Votes) FROM election AS T1 JOIN representative AS T2 ON T1.Representative_ID = T2.Representative_ID WHERE T2.Party = "Republican"
CREATE TABLE "election" ( "Election_ID" int, "Representative_ID" int, "Date" text, "Votes" real, "Vote_Percent" real, "Seats" real, "Place" real, PRIMARY KEY ("Election_ID"), FOREIGN KEY ("Representative_ID") REFERENCES `representative`("Representative_ID") ) 3 rows from election table: Election_ID Representative_ID Date Votes Vote_Percent Seats Place 1 1 July 1942 9423.0 16.2 6.0 3.0 2 2 October 1942 11059.0 18.5 10.0 1.0 3 4 1946 13049.0 19.5 10.0 2.0 CREATE TABLE "representative" ( "Representative_ID" int, "Name" text, "State" text, "Party" text, "Lifespan" text, PRIMARY KEY ("Representative_ID") ) 3 rows from representative table: Representative_ID Name State Party Lifespan 1 Dan Quayle Indiana Republican 1947– 2 John Quayle New York Democratic 1868–1930 3 Al Quie Minnesota Republican 1923–
election_representative
What are the different parties of representative? Show the party name and the number of representatives in each party.
SELECT Party , COUNT(*) FROM representative GROUP BY Party
CREATE TABLE "election" ( "Election_ID" int, "Representative_ID" int, "Date" text, "Votes" real, "Vote_Percent" real, "Seats" real, "Place" real, PRIMARY KEY ("Election_ID"), FOREIGN KEY ("Representative_ID") REFERENCES `representative`("Representative_ID") ) 3 rows from election table: Election_ID Representative_ID Date Votes Vote_Percent Seats Place 1 1 July 1942 9423.0 16.2 6.0 3.0 2 2 October 1942 11059.0 18.5 10.0 1.0 3 4 1946 13049.0 19.5 10.0 2.0 CREATE TABLE "representative" ( "Representative_ID" int, "Name" text, "State" text, "Party" text, "Lifespan" text, PRIMARY KEY ("Representative_ID") ) 3 rows from representative table: Representative_ID Name State Party Lifespan 1 Dan Quayle Indiana Republican 1947– 2 John Quayle New York Democratic 1868–1930 3 Al Quie Minnesota Republican 1923–
election_representative
What is the party that has the largest number of representatives?
SELECT Party , COUNT(*) FROM representative GROUP BY Party ORDER BY COUNT(*) DESC LIMIT 1
CREATE TABLE "election" ( "Election_ID" int, "Representative_ID" int, "Date" text, "Votes" real, "Vote_Percent" real, "Seats" real, "Place" real, PRIMARY KEY ("Election_ID"), FOREIGN KEY ("Representative_ID") REFERENCES `representative`("Representative_ID") ) 3 rows from election table: Election_ID Representative_ID Date Votes Vote_Percent Seats Place 1 1 July 1942 9423.0 16.2 6.0 3.0 2 2 October 1942 11059.0 18.5 10.0 1.0 3 4 1946 13049.0 19.5 10.0 2.0 CREATE TABLE "representative" ( "Representative_ID" int, "Name" text, "State" text, "Party" text, "Lifespan" text, PRIMARY KEY ("Representative_ID") ) 3 rows from representative table: Representative_ID Name State Party Lifespan 1 Dan Quayle Indiana Republican 1947– 2 John Quayle New York Democratic 1868–1930 3 Al Quie Minnesota Republican 1923–
election_representative
What parties have at least three representatives?
SELECT Party FROM representative GROUP BY Party HAVING COUNT(*) >= 3
CREATE TABLE "election" ( "Election_ID" int, "Representative_ID" int, "Date" text, "Votes" real, "Vote_Percent" real, "Seats" real, "Place" real, PRIMARY KEY ("Election_ID"), FOREIGN KEY ("Representative_ID") REFERENCES `representative`("Representative_ID") ) 3 rows from election table: Election_ID Representative_ID Date Votes Vote_Percent Seats Place 1 1 July 1942 9423.0 16.2 6.0 3.0 2 2 October 1942 11059.0 18.5 10.0 1.0 3 4 1946 13049.0 19.5 10.0 2.0 CREATE TABLE "representative" ( "Representative_ID" int, "Name" text, "State" text, "Party" text, "Lifespan" text, PRIMARY KEY ("Representative_ID") ) 3 rows from representative table: Representative_ID Name State Party Lifespan 1 Dan Quayle Indiana Republican 1947– 2 John Quayle New York Democratic 1868–1930 3 Al Quie Minnesota Republican 1923–
election_representative
What states have at least two representatives?
SELECT State FROM representative GROUP BY State HAVING COUNT(*) >= 2
CREATE TABLE "election" ( "Election_ID" int, "Representative_ID" int, "Date" text, "Votes" real, "Vote_Percent" real, "Seats" real, "Place" real, PRIMARY KEY ("Election_ID"), FOREIGN KEY ("Representative_ID") REFERENCES `representative`("Representative_ID") ) 3 rows from election table: Election_ID Representative_ID Date Votes Vote_Percent Seats Place 1 1 July 1942 9423.0 16.2 6.0 3.0 2 2 October 1942 11059.0 18.5 10.0 1.0 3 4 1946 13049.0 19.5 10.0 2.0 CREATE TABLE "representative" ( "Representative_ID" int, "Name" text, "State" text, "Party" text, "Lifespan" text, PRIMARY KEY ("Representative_ID") ) 3 rows from representative table: Representative_ID Name State Party Lifespan 1 Dan Quayle Indiana Republican 1947– 2 John Quayle New York Democratic 1868–1930 3 Al Quie Minnesota Republican 1923–
election_representative
List the names of representatives that have not participated in elections listed here.
SELECT Name FROM representative WHERE Representative_ID NOT IN (SELECT Representative_ID FROM election)
CREATE TABLE "election" ( "Election_ID" int, "Representative_ID" int, "Date" text, "Votes" real, "Vote_Percent" real, "Seats" real, "Place" real, PRIMARY KEY ("Election_ID"), FOREIGN KEY ("Representative_ID") REFERENCES `representative`("Representative_ID") ) 3 rows from election table: Election_ID Representative_ID Date Votes Vote_Percent Seats Place 1 1 July 1942 9423.0 16.2 6.0 3.0 2 2 October 1942 11059.0 18.5 10.0 1.0 3 4 1946 13049.0 19.5 10.0 2.0 CREATE TABLE "representative" ( "Representative_ID" int, "Name" text, "State" text, "Party" text, "Lifespan" text, PRIMARY KEY ("Representative_ID") ) 3 rows from representative table: Representative_ID Name State Party Lifespan 1 Dan Quayle Indiana Republican 1947– 2 John Quayle New York Democratic 1868–1930 3 Al Quie Minnesota Republican 1923–
election_representative
Show the parties that have both representatives in New York state and representatives in Pennsylvania state.
SELECT Party FROM representative WHERE State = "New York" INTERSECT SELECT Party FROM representative WHERE State = "Pennsylvania"
CREATE TABLE "election" ( "Election_ID" int, "Representative_ID" int, "Date" text, "Votes" real, "Vote_Percent" real, "Seats" real, "Place" real, PRIMARY KEY ("Election_ID"), FOREIGN KEY ("Representative_ID") REFERENCES `representative`("Representative_ID") ) 3 rows from election table: Election_ID Representative_ID Date Votes Vote_Percent Seats Place 1 1 July 1942 9423.0 16.2 6.0 3.0 2 2 October 1942 11059.0 18.5 10.0 1.0 3 4 1946 13049.0 19.5 10.0 2.0 CREATE TABLE "representative" ( "Representative_ID" int, "Name" text, "State" text, "Party" text, "Lifespan" text, PRIMARY KEY ("Representative_ID") ) 3 rows from representative table: Representative_ID Name State Party Lifespan 1 Dan Quayle Indiana Republican 1947– 2 John Quayle New York Democratic 1868–1930 3 Al Quie Minnesota Republican 1923–
election_representative
How many distinct parties are there for representatives?
SELECT count(DISTINCT Party) FROM representative
CREATE TABLE "election" ( "Election_ID" int, "Representative_ID" int, "Date" text, "Votes" real, "Vote_Percent" real, "Seats" real, "Place" real, PRIMARY KEY ("Election_ID"), FOREIGN KEY ("Representative_ID") REFERENCES `representative`("Representative_ID") ) 3 rows from election table: Election_ID Representative_ID Date Votes Vote_Percent Seats Place 1 1 July 1942 9423.0 16.2 6.0 3.0 2 2 October 1942 11059.0 18.5 10.0 1.0 3 4 1946 13049.0 19.5 10.0 2.0 CREATE TABLE "representative" ( "Representative_ID" int, "Name" text, "State" text, "Party" text, "Lifespan" text, PRIMARY KEY ("Representative_ID") ) 3 rows from representative table: Representative_ID Name State Party Lifespan 1 Dan Quayle Indiana Republican 1947– 2 John Quayle New York Democratic 1868–1930 3 Al Quie Minnesota Republican 1923–
apartment_rentals
How many apartment bookings are there in total?
SELECT count(*) FROM Apartment_Bookings
CREATE TABLE Apartment_Buildings ( building_id INTEGER NOT NULL, building_short_name CHAR(15), building_full_name VARCHAR(80), building_description VARCHAR(255), building_address VARCHAR(255), building_manager VARCHAR(50), building_phone VARCHAR(80), PRIMARY KEY (building_id), UNIQUE (building_id) ) 3 rows from Apartment_Buildings table: building_id building_short_name building_full_name building_description building_address building_manager building_phone 133 Normandie Court Normandie Court Studio 7950 Casper Vista Apt. 176\nMarquiseberg, CA 70496 Emma (948)040-1064x387 153 Mercedes House Mercedes House Studio 354 Otto Villages\nCharliefort, VT 71664 Brenden 915-617-2408x832 191 The Eugene The Eugene Flat 71537 Gorczany Inlet\nWisozkburgh, AL 08256 Melyssa (609)946-0491 CREATE TABLE Apartments ( apt_id INTEGER NOT NULL , building_id INTEGER NOT NULL, apt_type_code CHAR(15), apt_number CHAR(10), bathroom_count INTEGER, bedroom_count INTEGER, room_count CHAR(5), PRIMARY KEY (apt_id), UNIQUE (apt_id), FOREIGN KEY (building_id) REFERENCES Apartment_Buildings (building_id) ) 3 rows from Apartments table: apt_id building_id apt_type_code apt_number bathroom_count bedroom_count room_count 1 808 Flat Suite 645 1 3 7 2 624 Flat Apt. 585 2 4 5 3 225 Studio Apt. 908 1 6 7 CREATE TABLE Apartment_Facilities ( apt_id INTEGER NOT NULL, facility_code CHAR(15) NOT NULL, PRIMARY KEY (apt_id, facility_code), FOREIGN KEY (apt_id) REFERENCES Apartments (apt_id) ) 3 rows from Apartment_Facilities table: apt_id facility_code 1 Boardband 2 Boardband 3 Gym CREATE TABLE Guests ( guest_id INTEGER NOT NULL , gender_code CHAR(1), guest_first_name VARCHAR(80), guest_last_name VARCHAR(80), date_of_birth DATETIME, PRIMARY KEY (guest_id), UNIQUE (guest_id) ) 3 rows from Guests table: guest_id gender_code guest_first_name guest_last_name date_of_birth 1 Male Kip DuBuque 1995-11-04 07:09:57 2 Unknown Rebeca Runolfsdottir 1974-05-12 21:53:58 3 Female Keon Treutel 1974-08-20 09:28:05 CREATE TABLE Apartment_Bookings ( apt_booking_id INTEGER NOT NULL, apt_id INTEGER, guest_id INTEGER NOT NULL, booking_status_code CHAR(15) NOT NULL, booking_start_date DATETIME, booking_end_date DATETIME, PRIMARY KEY (apt_booking_id), UNIQUE (apt_booking_id), FOREIGN KEY (apt_id) REFERENCES Apartments (apt_id), FOREIGN KEY (guest_id) REFERENCES Guests (guest_id) ) 3 rows from Apartment_Bookings table: apt_booking_id apt_id guest_id booking_status_code booking_start_date booking_end_date 258 10 2 Provisional 2016-09-26 17:13:49 2017-10-07 11:38:48 279 15 15 Provisional 2016-04-01 06:28:08 2017-10-25 11:08:42 337 8 5 Provisional 2017-03-13 16:20:14 2018-02-19 16:59:08 CREATE TABLE View_Unit_Status ( apt_id INTEGER, apt_booking_id INTEGER, status_date DATETIME NOT NULL, available_yn BIT, PRIMARY KEY (status_date), FOREIGN KEY (apt_id) REFERENCES Apartments (apt_id), FOREIGN KEY (apt_booking_id) REFERENCES Apartment_Bookings (apt_booking_id) ) 3 rows from View_Unit_Status table: apt_id apt_booking_id status_date available_yn 11 920 1970-09-28 10:24:29 1 15 575 1972-03-23 22:55:53 1 15 924 1973-10-28 04:30:14 1
apartment_rentals
Count the total number of apartment bookings.
SELECT count(*) FROM Apartment_Bookings
CREATE TABLE Apartment_Buildings ( building_id INTEGER NOT NULL, building_short_name CHAR(15), building_full_name VARCHAR(80), building_description VARCHAR(255), building_address VARCHAR(255), building_manager VARCHAR(50), building_phone VARCHAR(80), PRIMARY KEY (building_id), UNIQUE (building_id) ) 3 rows from Apartment_Buildings table: building_id building_short_name building_full_name building_description building_address building_manager building_phone 133 Normandie Court Normandie Court Studio 7950 Casper Vista Apt. 176\nMarquiseberg, CA 70496 Emma (948)040-1064x387 153 Mercedes House Mercedes House Studio 354 Otto Villages\nCharliefort, VT 71664 Brenden 915-617-2408x832 191 The Eugene The Eugene Flat 71537 Gorczany Inlet\nWisozkburgh, AL 08256 Melyssa (609)946-0491 CREATE TABLE Apartments ( apt_id INTEGER NOT NULL , building_id INTEGER NOT NULL, apt_type_code CHAR(15), apt_number CHAR(10), bathroom_count INTEGER, bedroom_count INTEGER, room_count CHAR(5), PRIMARY KEY (apt_id), UNIQUE (apt_id), FOREIGN KEY (building_id) REFERENCES Apartment_Buildings (building_id) ) 3 rows from Apartments table: apt_id building_id apt_type_code apt_number bathroom_count bedroom_count room_count 1 808 Flat Suite 645 1 3 7 2 624 Flat Apt. 585 2 4 5 3 225 Studio Apt. 908 1 6 7 CREATE TABLE Apartment_Facilities ( apt_id INTEGER NOT NULL, facility_code CHAR(15) NOT NULL, PRIMARY KEY (apt_id, facility_code), FOREIGN KEY (apt_id) REFERENCES Apartments (apt_id) ) 3 rows from Apartment_Facilities table: apt_id facility_code 1 Boardband 2 Boardband 3 Gym CREATE TABLE Guests ( guest_id INTEGER NOT NULL , gender_code CHAR(1), guest_first_name VARCHAR(80), guest_last_name VARCHAR(80), date_of_birth DATETIME, PRIMARY KEY (guest_id), UNIQUE (guest_id) ) 3 rows from Guests table: guest_id gender_code guest_first_name guest_last_name date_of_birth 1 Male Kip DuBuque 1995-11-04 07:09:57 2 Unknown Rebeca Runolfsdottir 1974-05-12 21:53:58 3 Female Keon Treutel 1974-08-20 09:28:05 CREATE TABLE Apartment_Bookings ( apt_booking_id INTEGER NOT NULL, apt_id INTEGER, guest_id INTEGER NOT NULL, booking_status_code CHAR(15) NOT NULL, booking_start_date DATETIME, booking_end_date DATETIME, PRIMARY KEY (apt_booking_id), UNIQUE (apt_booking_id), FOREIGN KEY (apt_id) REFERENCES Apartments (apt_id), FOREIGN KEY (guest_id) REFERENCES Guests (guest_id) ) 3 rows from Apartment_Bookings table: apt_booking_id apt_id guest_id booking_status_code booking_start_date booking_end_date 258 10 2 Provisional 2016-09-26 17:13:49 2017-10-07 11:38:48 279 15 15 Provisional 2016-04-01 06:28:08 2017-10-25 11:08:42 337 8 5 Provisional 2017-03-13 16:20:14 2018-02-19 16:59:08 CREATE TABLE View_Unit_Status ( apt_id INTEGER, apt_booking_id INTEGER, status_date DATETIME NOT NULL, available_yn BIT, PRIMARY KEY (status_date), FOREIGN KEY (apt_id) REFERENCES Apartments (apt_id), FOREIGN KEY (apt_booking_id) REFERENCES Apartment_Bookings (apt_booking_id) ) 3 rows from View_Unit_Status table: apt_id apt_booking_id status_date available_yn 11 920 1970-09-28 10:24:29 1 15 575 1972-03-23 22:55:53 1 15 924 1973-10-28 04:30:14 1
apartment_rentals
Show the start dates and end dates of all the apartment bookings.
SELECT booking_start_date , booking_end_date FROM Apartment_Bookings
CREATE TABLE Apartment_Buildings ( building_id INTEGER NOT NULL, building_short_name CHAR(15), building_full_name VARCHAR(80), building_description VARCHAR(255), building_address VARCHAR(255), building_manager VARCHAR(50), building_phone VARCHAR(80), PRIMARY KEY (building_id), UNIQUE (building_id) ) 3 rows from Apartment_Buildings table: building_id building_short_name building_full_name building_description building_address building_manager building_phone 133 Normandie Court Normandie Court Studio 7950 Casper Vista Apt. 176\nMarquiseberg, CA 70496 Emma (948)040-1064x387 153 Mercedes House Mercedes House Studio 354 Otto Villages\nCharliefort, VT 71664 Brenden 915-617-2408x832 191 The Eugene The Eugene Flat 71537 Gorczany Inlet\nWisozkburgh, AL 08256 Melyssa (609)946-0491 CREATE TABLE Apartments ( apt_id INTEGER NOT NULL , building_id INTEGER NOT NULL, apt_type_code CHAR(15), apt_number CHAR(10), bathroom_count INTEGER, bedroom_count INTEGER, room_count CHAR(5), PRIMARY KEY (apt_id), UNIQUE (apt_id), FOREIGN KEY (building_id) REFERENCES Apartment_Buildings (building_id) ) 3 rows from Apartments table: apt_id building_id apt_type_code apt_number bathroom_count bedroom_count room_count 1 808 Flat Suite 645 1 3 7 2 624 Flat Apt. 585 2 4 5 3 225 Studio Apt. 908 1 6 7 CREATE TABLE Apartment_Facilities ( apt_id INTEGER NOT NULL, facility_code CHAR(15) NOT NULL, PRIMARY KEY (apt_id, facility_code), FOREIGN KEY (apt_id) REFERENCES Apartments (apt_id) ) 3 rows from Apartment_Facilities table: apt_id facility_code 1 Boardband 2 Boardband 3 Gym CREATE TABLE Guests ( guest_id INTEGER NOT NULL , gender_code CHAR(1), guest_first_name VARCHAR(80), guest_last_name VARCHAR(80), date_of_birth DATETIME, PRIMARY KEY (guest_id), UNIQUE (guest_id) ) 3 rows from Guests table: guest_id gender_code guest_first_name guest_last_name date_of_birth 1 Male Kip DuBuque 1995-11-04 07:09:57 2 Unknown Rebeca Runolfsdottir 1974-05-12 21:53:58 3 Female Keon Treutel 1974-08-20 09:28:05 CREATE TABLE Apartment_Bookings ( apt_booking_id INTEGER NOT NULL, apt_id INTEGER, guest_id INTEGER NOT NULL, booking_status_code CHAR(15) NOT NULL, booking_start_date DATETIME, booking_end_date DATETIME, PRIMARY KEY (apt_booking_id), UNIQUE (apt_booking_id), FOREIGN KEY (apt_id) REFERENCES Apartments (apt_id), FOREIGN KEY (guest_id) REFERENCES Guests (guest_id) ) 3 rows from Apartment_Bookings table: apt_booking_id apt_id guest_id booking_status_code booking_start_date booking_end_date 258 10 2 Provisional 2016-09-26 17:13:49 2017-10-07 11:38:48 279 15 15 Provisional 2016-04-01 06:28:08 2017-10-25 11:08:42 337 8 5 Provisional 2017-03-13 16:20:14 2018-02-19 16:59:08 CREATE TABLE View_Unit_Status ( apt_id INTEGER, apt_booking_id INTEGER, status_date DATETIME NOT NULL, available_yn BIT, PRIMARY KEY (status_date), FOREIGN KEY (apt_id) REFERENCES Apartments (apt_id), FOREIGN KEY (apt_booking_id) REFERENCES Apartment_Bookings (apt_booking_id) ) 3 rows from View_Unit_Status table: apt_id apt_booking_id status_date available_yn 11 920 1970-09-28 10:24:29 1 15 575 1972-03-23 22:55:53 1 15 924 1973-10-28 04:30:14 1
apartment_rentals
What are the start date and end date of each apartment booking?
SELECT booking_start_date , booking_end_date FROM Apartment_Bookings
CREATE TABLE Apartment_Buildings ( building_id INTEGER NOT NULL, building_short_name CHAR(15), building_full_name VARCHAR(80), building_description VARCHAR(255), building_address VARCHAR(255), building_manager VARCHAR(50), building_phone VARCHAR(80), PRIMARY KEY (building_id), UNIQUE (building_id) ) 3 rows from Apartment_Buildings table: building_id building_short_name building_full_name building_description building_address building_manager building_phone 133 Normandie Court Normandie Court Studio 7950 Casper Vista Apt. 176\nMarquiseberg, CA 70496 Emma (948)040-1064x387 153 Mercedes House Mercedes House Studio 354 Otto Villages\nCharliefort, VT 71664 Brenden 915-617-2408x832 191 The Eugene The Eugene Flat 71537 Gorczany Inlet\nWisozkburgh, AL 08256 Melyssa (609)946-0491 CREATE TABLE Apartments ( apt_id INTEGER NOT NULL , building_id INTEGER NOT NULL, apt_type_code CHAR(15), apt_number CHAR(10), bathroom_count INTEGER, bedroom_count INTEGER, room_count CHAR(5), PRIMARY KEY (apt_id), UNIQUE (apt_id), FOREIGN KEY (building_id) REFERENCES Apartment_Buildings (building_id) ) 3 rows from Apartments table: apt_id building_id apt_type_code apt_number bathroom_count bedroom_count room_count 1 808 Flat Suite 645 1 3 7 2 624 Flat Apt. 585 2 4 5 3 225 Studio Apt. 908 1 6 7 CREATE TABLE Apartment_Facilities ( apt_id INTEGER NOT NULL, facility_code CHAR(15) NOT NULL, PRIMARY KEY (apt_id, facility_code), FOREIGN KEY (apt_id) REFERENCES Apartments (apt_id) ) 3 rows from Apartment_Facilities table: apt_id facility_code 1 Boardband 2 Boardband 3 Gym CREATE TABLE Guests ( guest_id INTEGER NOT NULL , gender_code CHAR(1), guest_first_name VARCHAR(80), guest_last_name VARCHAR(80), date_of_birth DATETIME, PRIMARY KEY (guest_id), UNIQUE (guest_id) ) 3 rows from Guests table: guest_id gender_code guest_first_name guest_last_name date_of_birth 1 Male Kip DuBuque 1995-11-04 07:09:57 2 Unknown Rebeca Runolfsdottir 1974-05-12 21:53:58 3 Female Keon Treutel 1974-08-20 09:28:05 CREATE TABLE Apartment_Bookings ( apt_booking_id INTEGER NOT NULL, apt_id INTEGER, guest_id INTEGER NOT NULL, booking_status_code CHAR(15) NOT NULL, booking_start_date DATETIME, booking_end_date DATETIME, PRIMARY KEY (apt_booking_id), UNIQUE (apt_booking_id), FOREIGN KEY (apt_id) REFERENCES Apartments (apt_id), FOREIGN KEY (guest_id) REFERENCES Guests (guest_id) ) 3 rows from Apartment_Bookings table: apt_booking_id apt_id guest_id booking_status_code booking_start_date booking_end_date 258 10 2 Provisional 2016-09-26 17:13:49 2017-10-07 11:38:48 279 15 15 Provisional 2016-04-01 06:28:08 2017-10-25 11:08:42 337 8 5 Provisional 2017-03-13 16:20:14 2018-02-19 16:59:08 CREATE TABLE View_Unit_Status ( apt_id INTEGER, apt_booking_id INTEGER, status_date DATETIME NOT NULL, available_yn BIT, PRIMARY KEY (status_date), FOREIGN KEY (apt_id) REFERENCES Apartments (apt_id), FOREIGN KEY (apt_booking_id) REFERENCES Apartment_Bookings (apt_booking_id) ) 3 rows from View_Unit_Status table: apt_id apt_booking_id status_date available_yn 11 920 1970-09-28 10:24:29 1 15 575 1972-03-23 22:55:53 1 15 924 1973-10-28 04:30:14 1
apartment_rentals
Show all distinct building descriptions.
SELECT DISTINCT building_description FROM Apartment_Buildings
CREATE TABLE Apartment_Buildings ( building_id INTEGER NOT NULL, building_short_name CHAR(15), building_full_name VARCHAR(80), building_description VARCHAR(255), building_address VARCHAR(255), building_manager VARCHAR(50), building_phone VARCHAR(80), PRIMARY KEY (building_id), UNIQUE (building_id) ) 3 rows from Apartment_Buildings table: building_id building_short_name building_full_name building_description building_address building_manager building_phone 133 Normandie Court Normandie Court Studio 7950 Casper Vista Apt. 176\nMarquiseberg, CA 70496 Emma (948)040-1064x387 153 Mercedes House Mercedes House Studio 354 Otto Villages\nCharliefort, VT 71664 Brenden 915-617-2408x832 191 The Eugene The Eugene Flat 71537 Gorczany Inlet\nWisozkburgh, AL 08256 Melyssa (609)946-0491 CREATE TABLE Apartments ( apt_id INTEGER NOT NULL , building_id INTEGER NOT NULL, apt_type_code CHAR(15), apt_number CHAR(10), bathroom_count INTEGER, bedroom_count INTEGER, room_count CHAR(5), PRIMARY KEY (apt_id), UNIQUE (apt_id), FOREIGN KEY (building_id) REFERENCES Apartment_Buildings (building_id) ) 3 rows from Apartments table: apt_id building_id apt_type_code apt_number bathroom_count bedroom_count room_count 1 808 Flat Suite 645 1 3 7 2 624 Flat Apt. 585 2 4 5 3 225 Studio Apt. 908 1 6 7 CREATE TABLE Apartment_Facilities ( apt_id INTEGER NOT NULL, facility_code CHAR(15) NOT NULL, PRIMARY KEY (apt_id, facility_code), FOREIGN KEY (apt_id) REFERENCES Apartments (apt_id) ) 3 rows from Apartment_Facilities table: apt_id facility_code 1 Boardband 2 Boardband 3 Gym CREATE TABLE Guests ( guest_id INTEGER NOT NULL , gender_code CHAR(1), guest_first_name VARCHAR(80), guest_last_name VARCHAR(80), date_of_birth DATETIME, PRIMARY KEY (guest_id), UNIQUE (guest_id) ) 3 rows from Guests table: guest_id gender_code guest_first_name guest_last_name date_of_birth 1 Male Kip DuBuque 1995-11-04 07:09:57 2 Unknown Rebeca Runolfsdottir 1974-05-12 21:53:58 3 Female Keon Treutel 1974-08-20 09:28:05 CREATE TABLE Apartment_Bookings ( apt_booking_id INTEGER NOT NULL, apt_id INTEGER, guest_id INTEGER NOT NULL, booking_status_code CHAR(15) NOT NULL, booking_start_date DATETIME, booking_end_date DATETIME, PRIMARY KEY (apt_booking_id), UNIQUE (apt_booking_id), FOREIGN KEY (apt_id) REFERENCES Apartments (apt_id), FOREIGN KEY (guest_id) REFERENCES Guests (guest_id) ) 3 rows from Apartment_Bookings table: apt_booking_id apt_id guest_id booking_status_code booking_start_date booking_end_date 258 10 2 Provisional 2016-09-26 17:13:49 2017-10-07 11:38:48 279 15 15 Provisional 2016-04-01 06:28:08 2017-10-25 11:08:42 337 8 5 Provisional 2017-03-13 16:20:14 2018-02-19 16:59:08 CREATE TABLE View_Unit_Status ( apt_id INTEGER, apt_booking_id INTEGER, status_date DATETIME NOT NULL, available_yn BIT, PRIMARY KEY (status_date), FOREIGN KEY (apt_id) REFERENCES Apartments (apt_id), FOREIGN KEY (apt_booking_id) REFERENCES Apartment_Bookings (apt_booking_id) ) 3 rows from View_Unit_Status table: apt_id apt_booking_id status_date available_yn 11 920 1970-09-28 10:24:29 1 15 575 1972-03-23 22:55:53 1 15 924 1973-10-28 04:30:14 1
apartment_rentals
Give me a list of all the distinct building descriptions.
SELECT DISTINCT building_description FROM Apartment_Buildings
CREATE TABLE Apartment_Buildings ( building_id INTEGER NOT NULL, building_short_name CHAR(15), building_full_name VARCHAR(80), building_description VARCHAR(255), building_address VARCHAR(255), building_manager VARCHAR(50), building_phone VARCHAR(80), PRIMARY KEY (building_id), UNIQUE (building_id) ) 3 rows from Apartment_Buildings table: building_id building_short_name building_full_name building_description building_address building_manager building_phone 133 Normandie Court Normandie Court Studio 7950 Casper Vista Apt. 176\nMarquiseberg, CA 70496 Emma (948)040-1064x387 153 Mercedes House Mercedes House Studio 354 Otto Villages\nCharliefort, VT 71664 Brenden 915-617-2408x832 191 The Eugene The Eugene Flat 71537 Gorczany Inlet\nWisozkburgh, AL 08256 Melyssa (609)946-0491 CREATE TABLE Apartments ( apt_id INTEGER NOT NULL , building_id INTEGER NOT NULL, apt_type_code CHAR(15), apt_number CHAR(10), bathroom_count INTEGER, bedroom_count INTEGER, room_count CHAR(5), PRIMARY KEY (apt_id), UNIQUE (apt_id), FOREIGN KEY (building_id) REFERENCES Apartment_Buildings (building_id) ) 3 rows from Apartments table: apt_id building_id apt_type_code apt_number bathroom_count bedroom_count room_count 1 808 Flat Suite 645 1 3 7 2 624 Flat Apt. 585 2 4 5 3 225 Studio Apt. 908 1 6 7 CREATE TABLE Apartment_Facilities ( apt_id INTEGER NOT NULL, facility_code CHAR(15) NOT NULL, PRIMARY KEY (apt_id, facility_code), FOREIGN KEY (apt_id) REFERENCES Apartments (apt_id) ) 3 rows from Apartment_Facilities table: apt_id facility_code 1 Boardband 2 Boardband 3 Gym CREATE TABLE Guests ( guest_id INTEGER NOT NULL , gender_code CHAR(1), guest_first_name VARCHAR(80), guest_last_name VARCHAR(80), date_of_birth DATETIME, PRIMARY KEY (guest_id), UNIQUE (guest_id) ) 3 rows from Guests table: guest_id gender_code guest_first_name guest_last_name date_of_birth 1 Male Kip DuBuque 1995-11-04 07:09:57 2 Unknown Rebeca Runolfsdottir 1974-05-12 21:53:58 3 Female Keon Treutel 1974-08-20 09:28:05 CREATE TABLE Apartment_Bookings ( apt_booking_id INTEGER NOT NULL, apt_id INTEGER, guest_id INTEGER NOT NULL, booking_status_code CHAR(15) NOT NULL, booking_start_date DATETIME, booking_end_date DATETIME, PRIMARY KEY (apt_booking_id), UNIQUE (apt_booking_id), FOREIGN KEY (apt_id) REFERENCES Apartments (apt_id), FOREIGN KEY (guest_id) REFERENCES Guests (guest_id) ) 3 rows from Apartment_Bookings table: apt_booking_id apt_id guest_id booking_status_code booking_start_date booking_end_date 258 10 2 Provisional 2016-09-26 17:13:49 2017-10-07 11:38:48 279 15 15 Provisional 2016-04-01 06:28:08 2017-10-25 11:08:42 337 8 5 Provisional 2017-03-13 16:20:14 2018-02-19 16:59:08 CREATE TABLE View_Unit_Status ( apt_id INTEGER, apt_booking_id INTEGER, status_date DATETIME NOT NULL, available_yn BIT, PRIMARY KEY (status_date), FOREIGN KEY (apt_id) REFERENCES Apartments (apt_id), FOREIGN KEY (apt_booking_id) REFERENCES Apartment_Bookings (apt_booking_id) ) 3 rows from View_Unit_Status table: apt_id apt_booking_id status_date available_yn 11 920 1970-09-28 10:24:29 1 15 575 1972-03-23 22:55:53 1 15 924 1973-10-28 04:30:14 1