SQL Exercise: City where the opening match of EURO cup 2016 played
12. From the following table, write a SQL query to find the city where the opening match of EURO cup 2016 took place. Return venue name, city.
Sample table: soccer_venuevenue_id | venue_name | city_id | aud_capacity ----------+-------------------------+---------+-------------- 20001 | Stade de Bordeaux | 10003 | 42115 20002 | Stade Bollaert-Delelis | 10004 | 38223 20003 | Stade Pierre Mauroy | 10005 | 49822 20004 | Stade de Lyon | 10006 | 58585 20005 | Stade VElodrome | 10007 | 64354 20006 | Stade de Nice | 10008 | 35624 20007 | Parc des Princes | 10001 | 47294 20008 | Stade de France | 10002 | 80100 20009 | Stade Geoffroy Guichard | 10009 | 42000 20010 | Stadium de Toulouse | 10010 | 33150Sample table: soccer_city
city_id | city | country_id ---------+---------------+------------ 10001 | Paris | 1207 10002 | Saint-Denis | 1207 10003 | Bordeaux | 1207 10004 | Lens | 1207 10005 | Lille | 1207 10006 | Lyon | 1207 10007 | Marseille | 1207 10008 | Nice | 1207 10009 | Saint-Etienne | 1207 10010 | Toulouse | 1207Sample table: match_mast
match_no | play_stage | play_date | results | decided_by | goal_score | venue_id | referee_id | audence | plr_of_match | stop1_sec | stop2_sec ----------+------------+------------+---------+------------+------------+----------+------------+---------+--------------+-----------+----------- 1 | G | 2016-06-11 | WIN | N | 2-1 | 20008 | 70007 | 75113 | 160154 | 131 | 242 2 | G | 2016-06-11 | WIN | N | 0-1 | 20002 | 70012 | 33805 | 160476 | 61 | 182 3 | G | 2016-06-11 | WIN | N | 2-1 | 20001 | 70017 | 37831 | 160540 | 64 | 268 4 | G | 2016-06-12 | DRAW | N | 1-1 | 20005 | 70011 | 62343 | 160128 | 0 | 185 5 | G | 2016-06-12 | WIN | N | 0-1 | 20007 | 70006 | 43842 | 160084 | 125 | 325 6 | G | 2016-06-12 | WIN | N | 1-0 | 20006 | 70014 | 33742 | 160291 | 2 | 246 7 | G | 2016-06-13 | WIN | N | 2-0 | 20003 | 70002 | 43035 | 160176 | 89 | 188 8 | G | 2016-06-13 | WIN | N | 1-0 | 20010 | 70009 | 29400 | 160429 | 360 | 182 9 | G | 2016-06-13 | DRAW | N | 1-1 | 20008 | 70010 | 73419 | 160335 | 67 | 194 10 | G | 2016-06-14 | WIN | N | 0-2 | 20004 | 70005 | 55408 | 160244 | 63 | 189 11 | G | 2016-06-14 | WIN | N | 0-2 | 20001 | 70018 | 34424 | 160197 | 61 | 305 12 | G | 2016-06-15 | DRAW | N | 1-1 | 20009 | 70004 | 38742 | 160320 | 15 | 284 13 | G | 2016-06-15 | WIN | N | 1-2 | 20003 | 70001 | 38989 | 160405 | 62 | 189 14 | G | 2016-06-15 | DRAW | N | 1-1 | 20007 | 70015 | 43576 | 160477 | 74 | 206 15 | G | 2016-06-16 | WIN | N | 2-0 | 20005 | 70013 | 63670 | 160154 | 71 | 374 16 | G | 2016-06-16 | WIN | N | 2-1 | 20002 | 70003 | 34033 | 160540 | 62 | 212 17 | G | 2016-06-16 | WIN | N | 0-2 | 20004 | 70016 | 51043 | 160262 | 7 | 411 18 | G | 2016-06-17 | DRAW | N | 0-0 | 20008 | 70008 | 73648 | 160165 | 6 | 208 19 | G | 2016-06-17 | WIN | N | 1-0 | 20010 | 70007 | 29600 | 160248 | 2 | 264 20 | G | 2016-06-17 | DRAW | N | 2-2 | 20009 | 70005 | 38376 | 160086 | 71 | 280 21 | G | 2016-06-18 | WIN | N | 3-0 | 20006 | 70010 | 33409 | 160429 | 84 | 120 22 | G | 2016-06-18 | WIN | N | 3-0 | 20001 | 70004 | 39493 | 160064 | 11 | 180 23 | G | 2016-06-18 | DRAW | N | 1-1 | 20005 | 70015 | 60842 | 160230 | 61 | 280 24 | G | 2016-06-19 | DRAW | N | 0-0 | 20007 | 70011 | 44291 | 160314 | 3 | 200 25 | G | 2016-06-20 | WIN | N | 0-1 | 20004 | 70016 | 49752 | 160005 | 125 | 328 26 | G | 2016-06-20 | DRAW | N | 0-0 | 20003 | 70001 | 45616 | 160463 | 60 | 122 27 | G | 2016-06-21 | WIN | N | 0-3 | 20010 | 70006 | 28840 | 160544 | 62 | 119 28 | G | 2016-06-21 | DRAW | N | 0-0 | 20009 | 70012 | 39051 | 160392 | 62 | 301 29 | G | 2016-06-21 | WIN | N | 0-1 | 20005 | 70017 | 58874 | 160520 | 29 | 244 30 | G | 2016-06-21 | WIN | N | 0-1 | 20007 | 70018 | 44125 | 160177 | 21 | 195 31 | G | 2016-06-22 | WIN | N | 0-2 | 20002 | 70013 | 32836 | 160504 | 60 | 300 32 | G | 2016-06-22 | WIN | N | 2-1 | 20001 | 70008 | 37245 | 160085 | 70 | 282 33 | G | 2016-06-22 | WIN | N | 2-1 | 20008 | 70009 | 68714 | 160220 | 7 | 244 34 | G | 2016-06-22 | DRAW | N | 3-3 | 20004 | 70002 | 55514 | 160322 | 70 | 185 35 | G | 2016-06-23 | WIN | N | 0-1 | 20003 | 70014 | 44268 | 160333 | 79 | 221 36 | G | 2016-06-23 | WIN | N | 0-1 | 20006 | 70003 | 34011 | 160062 | 63 | 195 37 | R | 2016-06-25 | WIN | P | 1-1 | 20009 | 70005 | 38842 | 160476 | 126 | 243 38 | R | 2016-06-25 | WIN | N | 1-0 | 20007 | 70002 | 44342 | 160547 | 5 | 245 39 | R | 2016-06-26 | WIN | N | 0-1 | 20002 | 70012 | 33523 | 160316 | 61 | 198 40 | R | 2016-06-26 | WIN | N | 2-1 | 20004 | 70011 | 56279 | 160160 | 238 | 203 41 | R | 2016-06-26 | WIN | N | 3-0 | 20003 | 70009 | 44312 | 160173 | 62 | 124 42 | R | 2016-06-27 | WIN | N | 0-4 | 20010 | 70010 | 28921 | 160062 | 3 | 133 43 | R | 2016-06-27 | WIN | N | 2-0 | 20008 | 70004 | 76165 | 160235 | 63 | 243 44 | R | 2016-06-28 | WIN | N | 1-2 | 20006 | 70001 | 33901 | 160217 | 5 | 199 45 | Q | 2016-07-01 | WIN | P | 1-1 | 20005 | 70003 | 62940 | 160316 | 58 | 181 46 | Q | 2016-07-02 | WIN | N | 3-1 | 20003 | 70001 | 45936 | 160550 | 14 | 182 47 | Q | 2016-07-03 | WIN | P | 1-1 | 20001 | 70007 | 38764 | 160163 | 63 | 181 48 | Q | 2016-07-04 | WIN | N | 5-2 | 20008 | 70008 | 76833 | 160159 | 16 | 125 49 | S | 2016-07-07 | WIN | N | 2-0 | 20004 | 70006 | 55679 | 160322 | 2 | 181 50 | S | 2016-07-08 | WIN | N | 2-0 | 20005 | 70011 | 64078 | 160160 | 126 | 275 51 | F | 2016-07-11 | WIN | N | 1-0 | 20008 | 70005 | 75868 | 160307 | 161 | 181
Sample Solution:
SQL Code:
-- Selecting venue_name and city
SELECT a.venue_name, b.city
-- From clause with JOINs between soccer_venue, soccer_city, and match_mast
FROM soccer_venue a
JOIN soccer_city b ON a.city_id = b.city_id
JOIN match_mast c ON a.venue_id = c.venue_id
-- Filtering the results to include only the match with match_no equal to 1
WHERE match_no = 1;
Sample Output:
venue_name | city -----------------+------------- Stade de France | Saint-Denis (1 row)
Code Explanation:
The said query in SQL that selects the name of the venue where match number 1 is played, and the city in which the venue is located from the tables soccer_venue, soccer_city, and match_mast.
The JOIN keyword is used to join the soccer_venue with soccer_city on their city_id columns, and then join the resulting table with match_mast on their venue_id columns.
The WHERE keyword filters data for the match with match number 1.
Alternative Solutions:
Subquery with IN:
-- Selecting venue_name and city
SELECT a.venue_name, b.city
-- From clause with JOIN between soccer_venue and soccer_city using city_id
FROM soccer_venue a
JOIN soccer_city b ON a.city_id = b.city_id
-- Filtering the results to include only venues with venue_id found in the subquery
WHERE a.venue_id IN (
-- Subquery to select venue_id from match_mast for the match with match_no equal to 1
SELECT venue_id
-- From clause to select from match_mast
FROM match_mast
-- Condition for filtering match_mast based on match_no
WHERE match_no = 1
);
Explanation:
This query uses a subquery to select the venue_id from match_mast where match_no is 1. It then uses this list of venue_id values to filter the soccer_venue table.
EXISTS Subquery:
-- Selecting venue_name and city
SELECT a.venue_name, b.city
-- From clause with JOIN between soccer_venue and soccer_city using city_id
FROM soccer_venue a
JOIN soccer_city b ON a.city_id = b.city_id
-- Using EXISTS to filter results based on a subquery condition
WHERE EXISTS (
-- Subquery to check if there is at least one match for the venue with match_no equal to 1
SELECT 1
-- From clause to select from match_mast
FROM match_mast c
-- Conditions for joining match_mast based on venue_id and match_no
WHERE a.venue_id = c.venue_id
AND match_no = 1
);
Explanation:
This query uses an EXISTS subquery to check if there's at least one row in match_mast with the corresponding venue_id and match_no is 1. It joins soccer_venue and soccer_city tables.
Relational Algebra Expression:
Relational Algebra Tree:
Practice Online
Sample Database: soccer
Query Visualization:
Duration:
Rows:
Cost:
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Previous SQL Exercise: Referee who assisted in the final match.
Next SQL Exercise: Stadium hosted the final match of EURO cup 2016.
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