SQL Exercise: Stadium hosted the final match of EURO cup 2016
SQL soccer Database: Joins Exercise-13 with Solution
13. From the following tables, write a SQL query to find out which stadium hosted the final match of the 2016 Euro Cup. Return venue_name, city, aud_capacity, audience.
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 Sample 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, city, aud_capacity, and audience
SELECT a.venue_name, b.city, a.aud_capacity, c.audence
-- 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 matches in the final play stage
WHERE play_stage = 'F';
Sample Output:
venue_name | city | aud_capacity | audence -----------------+-------------+--------------+--------- Stade de France | Saint-Denis | 80100 | 75868 (1 row)
Code Explanation:
The said query in SQL that selects the name of the venue where the final is played, the city in which the venue is located, the capacity of the venue, and the audience count for all matches in the "Finals" stage from the tables soccer_venue, soccer_city, and match_mast.
The JOIN keyword is used to join the tables together based on their city_id and venue_id columns.
The JOIN keyword is used to join 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 is used to filter records for matches in the "Finals" stage.
Alternative Solutions:
Inner Join with Match_Mast:
-- Selecting venue_name, city, aud_capacity, and audience for matches in the final play stage
SELECT a.venue_name, b.city, a.aud_capacity, c.audence
-- 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 matches in the final play stage
WHERE c.play_stage = 'F'
-- Filtering out matches where there exists a match with a higher match_no for the same venue
AND NOT EXISTS (
-- Subquery to check if there is at least one match with a higher match_no for the same venue
SELECT 1
-- From clause to select from match_mast (aliased as d)
FROM match_mast d
-- Conditions for joining match_mast based on venue_id and comparing match_no
WHERE a.venue_id = d.venue_id
AND d.match_no > c.match_no
);
Explanation:
This query uses an inner join to connect the tables. Additionally, it includes a subquery in the NOT EXISTS clause to filter out matches that are not the final one.
Window Function:
-- Selecting venue_name, city, aud_capacity, and audience for the latest match in the final play stage for each venue
SELECT venue_name, city, aud_capacity, audence
-- From clause with a subquery (aliased as subquery) using a window function
FROM (
-- Subquery to select venue_name, city, aud_capacity, audience, and row number partitioned by venue_id
SELECT a.venue_name, b.city, a.aud_capacity, c.audence,
ROW_NUMBER() OVER (PARTITION BY a.venue_id ORDER BY c.match_no DESC) as row_num
-- 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 matches in the final play stage
WHERE play_stage = 'F'
) as subquery
-- Filtering the results to include only rows where the row number is 1
WHERE row_num = 1;
Explanation:
This query uses a window function ROW_NUMBER() to assign a unique number to each row within each venue, ordered by match_no in descending order. It then selects only the rows with row_num = 1, which corresponds to the highest match number for each venue with play_stage equal to 'F'.
Relational Algebra Expression:
Relational Algebra Tree:
Practice Online
Sample Database: soccer
Query Visualization:
Duration:
Rows:
Cost:
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Previous SQL Exercise: City where the opening match of EURO cup 2016 played.
Next SQL Exercise: Number of matches played at each venue and their city.
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