SQL Exercise: Find the teams who played the heighest audience match
7. From the following tables, write a SQL query to find the highest audience match. Return country name of the teams.
Sample table: soccer_country
country_id | country_abbr | country_name
------------+--------------+---------------------
1201 | ALB | Albania
1202 | AUT | Austria
1203 | BEL | Belgium
1204 | CRO | Croatia
1205 | CZE | Czech Republic
1206 | ENG | England
1207 | FRA | France
1208 | GER | Germany
1209 | HUN | Hungary
1210 | ISL | Iceland
1211 | ITA | Italy
1212 | NIR | Northern Ireland
1213 | POL | Poland
1214 | POR | Portugal
1215 | IRL | Republic of Ireland
1216 | ROU | Romania
1217 | RUS | Russia
1218 | SVK | Slovakia
1219 | ESP | Spain
1220 | SWE | Sweden
1221 | SUI | Switzerland
1222 | TUR | Turkey
1223 | UKR | Ukraine
1224 | WAL | Wales
1225 | SLO | Slovenia
1226 | NED | Netherlands
1227 | SRB | Serbia
1228 | SCO | Scotland
1229 | NOR | Norway
Sample table: goal_details
goal_id | match_no | player_id | team_id | goal_time | goal_type | play_stage | goal_schedule | goal_half
---------+----------+-----------+---------+-----------+-----------+------------+---------------+-----------
1 | 1 | 160159 | 1207 | 57 | N | G | NT | 2
2 | 1 | 160368 | 1216 | 65 | P | G | NT | 2
3 | 1 | 160154 | 1207 | 89 | N | G | NT | 2
4 | 2 | 160470 | 1221 | 5 | N | G | NT | 1
5 | 3 | 160547 | 1224 | 10 | N | G | NT | 1
6 | 3 | 160403 | 1218 | 61 | N | G | NT | 2
7 | 3 | 160550 | 1224 | 81 | N | G | NT | 2
8 | 4 | 160128 | 1206 | 73 | N | G | NT | 2
9 | 4 | 160373 | 1217 | 93 | N | G | ST | 2
10 | 5 | 160084 | 1204 | 41 | N | G | NT | 1
11 | 6 | 160298 | 1213 | 51 | N | G | NT | 2
12 | 7 | 160183 | 1208 | 19 | N | G | NT | 1
13 | 7 | 160180 | 1208 | 93 | N | G | ST | 2
14 | 8 | 160423 | 1219 | 87 | N | G | NT | 2
15 | 9 | 160335 | 1215 | 48 | N | G | NT | 2
16 | 9 | 160327 | 1215 | 71 | O | G | NT | 2
17 | 10 | 160244 | 1211 | 32 | N | G | NT | 1
18 | 10 | 160252 | 1211 | 93 | N | G | ST | 2
19 | 11 | 160207 | 1209 | 62 | N | G | NT | 2
20 | 11 | 160200 | 1209 | 87 | N | G | NT | 2
21 | 12 | 160320 | 1214 | 31 | N | G | NT | 1
22 | 12 | 160221 | 1210 | 50 | N | G | NT | 2
23 | 13 | 160411 | 1218 | 32 | N | G | NT | 1
24 | 13 | 160405 | 1218 | 45 | N | G | NT | 1
25 | 13 | 160380 | 1217 | 80 | N | G | NT | 2
26 | 14 | 160368 | 1216 | 18 | P | G | NT | 1
27 | 14 | 160481 | 1221 | 57 | N | G | NT | 2
28 | 15 | 160160 | 1207 | 90 | N | G | NT | 2
29 | 15 | 160154 | 1207 | 96 | N | G | ST | 2
30 | 16 | 160547 | 1224 | 42 | N | G | NT | 1
31 | 16 | 160138 | 1206 | 56 | N | G | NT | 2
32 | 16 | 160137 | 1206 | 93 | N | G | ST | 2
33 | 17 | 160262 | 1212 | 49 | N | G | NT | 2
34 | 17 | 160275 | 1212 | 96 | N | G | ST | 2
35 | 19 | 160248 | 1211 | 88 | N | G | NT | 2
36 | 20 | 160085 | 1204 | 37 | N | G | NT | 1
37 | 20 | 160086 | 1204 | 59 | N | G | NT | 2
38 | 20 | 160115 | 1205 | 76 | N | G | NT | 2
39 | 20 | 160114 | 1205 | 89 | P | G | NT | 2
40 | 21 | 160435 | 1219 | 34 | N | G | NT | 1
41 | 21 | 160436 | 1219 | 37 | N | G | NT | 1
42 | 21 | 160435 | 1219 | 48 | N | G | NT | 2
43 | 22 | 160067 | 1203 | 48 | N | G | NT | 2
44 | 22 | 160064 | 1203 | 61 | N | G | NT | 2
45 | 22 | 160067 | 1203 | 70 | N | G | NT | 2
46 | 23 | 160224 | 1210 | 40 | P | G | NT | 1
47 | 23 | 160216 | 1210 | 88 | O | G | NT | 2
48 | 25 | 160023 | 1201 | 43 | N | G | NT | 1
49 | 27 | 160544 | 1224 | 11 | N | G | NT | 1
50 | 27 | 160538 | 1224 | 20 | N | G | NT | 1
51 | 27 | 160547 | 1224 | 67 | N | G | NT | 2
52 | 29 | 160287 | 1213 | 54 | N | G | NT | 2
53 | 30 | 160182 | 1208 | 30 | N | G | NT | 1
54 | 31 | 160504 | 1222 | 10 | N | G | NT | 1
55 | 31 | 160500 | 1222 | 65 | N | G | NT | 2
56 | 32 | 160435 | 1219 | 7 | N | G | NT | 1
57 | 32 | 160089 | 1204 | 45 | N | G | NT | 1
58 | 32 | 160085 | 1204 | 87 | N | G | NT | 2
59 | 33 | 160226 | 1210 | 18 | N | G | NT | 1
60 | 33 | 160042 | 1202 | 60 | N | G | NT | 2
61 | 33 | 160226 | 1210 | 94 | N | G | ST | 2
62 | 34 | 160203 | 1209 | 19 | N | G | NT | 1
63 | 34 | 160320 | 1214 | 42 | N | G | NT | 1
64 | 34 | 160202 | 1209 | 47 | N | G | NT | 2
65 | 34 | 160322 | 1214 | 50 | N | G | NT | 2
66 | 34 | 160202 | 1209 | 55 | N | G | NT | 2
67 | 34 | 160322 | 1214 | 62 | N | G | NT | 2
68 | 35 | 160333 | 1215 | 85 | N | G | NT | 2
69 | 36 | 160063 | 1203 | 84 | N | G | NT | 2
70 | 37 | 160287 | 1213 | 39 | N | R | NT | 1
71 | 37 | 160476 | 1221 | 82 | N | R | NT | 2
72 | 38 | 160262 | 1212 | 75 | O | R | NT | 2
73 | 39 | 160321 | 1214 | 117 | N | R | ET | 2
74 | 40 | 160333 | 1215 | 2 | P | R | NT | 1
75 | 40 | 160160 | 1207 | 58 | N | R | NT | 2
76 | 40 | 160160 | 1207 | 61 | N | R | NT | 2
77 | 41 | 160165 | 1208 | 8 | N | R | NT | 1
78 | 41 | 160182 | 1208 | 43 | N | R | NT | 1
79 | 41 | 160173 | 1208 | 63 | N | R | NT | 2
80 | 42 | 160050 | 1203 | 10 | N | R | NT | 1
81 | 42 | 160065 | 1203 | 78 | N | R | NT | 2
82 | 42 | 160062 | 1203 | 80 | N | R | NT | 2
83 | 42 | 160058 | 1203 | 90 | N | R | NT | 2
84 | 43 | 160236 | 1211 | 33 | N | R | NT | 1
85 | 43 | 160252 | 1211 | 91 | N | R | ST | 2
86 | 44 | 160136 | 1206 | 4 | P | R | NT | 1
87 | 44 | 160219 | 1210 | 6 | N | R | NT | 1
88 | 44 | 160230 | 1210 | 18 | N | R | NT | 1
89 | 45 | 160297 | 1213 | 2 | N | Q | NT | 1
90 | 45 | 160316 | 1214 | 33 | N | Q | NT | 1
91 | 46 | 160063 | 1203 | 13 | N | Q | NT | 1
92 | 46 | 160539 | 1224 | 31 | N | Q | NT | 1
93 | 46 | 160550 | 1224 | 55 | N | Q | NT | 2
94 | 46 | 160551 | 1224 | 86 | N | Q | NT | 2
95 | 47 | 160177 | 1208 | 65 | N | Q | NT | 2
96 | 47 | 160235 | 1211 | 78 | P | Q | NT | 2
97 | 48 | 160159 | 1207 | 12 | N | Q | NT | 1
98 | 48 | 160155 | 1207 | 20 | N | Q | NT | 1
99 | 48 | 160154 | 1207 | 43 | N | Q | NT | 1
100 | 48 | 160160 | 1207 | 45 | N | Q | NT | 1
101 | 48 | 160230 | 1210 | 56 | N | Q | NT | 2
102 | 48 | 160159 | 1207 | 59 | N | Q | NT | 2
103 | 48 | 160221 | 1210 | 84 | N | Q | NT | 2
104 | 49 | 160322 | 1214 | 50 | N | S | NT | 2
105 | 49 | 160320 | 1214 | 53 | N | S | NT | 2
106 | 50 | 160160 | 1207 | 47 | P | S | ST | 1
107 | 50 | 160160 | 1207 | 72 | N | S | NT | 2
108 | 51 | 160319 | 1214 | 109 | N | F | ET | 2
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:
-- This SQL query retrieves the country names from the 'soccer_country' table for specific matches with the highest audience count.
SELECT country_name
-- Selects the 'country_name' column.
FROM soccer_country
-- 'soccer_country' is the name of the table being queried.
WHERE country_id IN (
-- The WHERE clause filters rows where 'country_id' is present in the result of the subquery.
SELECT team_id
-- The subquery selects the 'team_id' column.
FROM goal_details
-- 'goal_details' is the name of the table involved in the subquery.
WHERE match_no = (
-- The WHERE clause filters rows where 'match_no' matches the match number in the subquery.
SELECT match_no
-- The subquery selects the 'match_no' column.
FROM match_mast
-- 'match_mast' is the name of the table involved in the subquery.
WHERE audence = (
-- The WHERE clause filters rows where 'audence' matches the maximum audience count in the subquery.
SELECT max(audence)
-- The subquery calculates the maximum audience count in the 'match_mast' table.
FROM match_mast
)
)
ORDER BY audence DESC
-- Orders the result set based on 'audence' in descending order.
);
Sample Output:
country_name -------------- France Iceland (2 rows)
Code Explanation:
The said query in SQL that selects the name of the countries whose teams have scored in the match with the highest audience. The innermost subquery retrieves the maximum audience from the match_mast table. The middle subquery retrieves the match number corresponding to that maximum audience. Finally, the outermost query retrieves the country names of the teams that scored in that match.
Alternative Solutions:
Using JOIN and WHERE:
SELECT DISTINCT sc.country_name
FROM soccer_country sc
JOIN goal_details gd ON sc.country_id = gd.team_id
WHERE gd.match_no IN (
SELECT mm.match_no
FROM match_mast mm
WHERE mm.audence = (
SELECT MAX(audence)
FROM match_mast
)
);
Explanation:
This query uses INNER JOIN to connect the soccer_country and goal_details tables. It then uses WHERE to filter for matches that have the maximum audience, and selects the corresponding country names.
Using EXISTS:
SELECT country_name
FROM soccer_country sc
WHERE EXISTS (
SELECT 1
FROM goal_details gd
WHERE gd.team_id = sc.country_id
AND gd.match_no = (
SELECT match_no
FROM match_mast
WHERE audence = (
SELECT MAX(audence)
FROM match_mast
)
)
);
Explanation:
This query uses EXISTS with correlated subqueries to find countries that have participated in matches with the maximum audience.
Using INNER JOIN with Subqueries:
SELECT DISTINCT sc.country_name
FROM soccer_country sc
JOIN goal_details gd ON sc.country_id = gd.team_id
WHERE gd.match_no IN (
SELECT match_no
FROM match_mast
WHERE audence = (
SELECT MAX(audence)
FROM match_mast
)
);
Explanation:
This query uses INNER JOIN with subqueries to find countries that have participated in matches with the maximum audience.
Go to:
PREV : Players scored number of goals in every matches.
NEXT : Player scores last goal for Portugal against Hungary.
Practice Online
Sample Database: soccer
Query Visualization:
Duration:
Rows:
Cost:
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