SQL Exercise: Matches with most stoppage time added in the 2nd half
21. From the following tables, write a SQL query to find those matches where the highest stoppage time was added in 2nd half of play. Return match number, country name, stoppage time(sec.).
Sample table: match_details
match_no | play_stage | team_id | win_lose | decided_by | goal_score | penalty_score | ass_ref | player_gk
----------+------------+---------+----------+------------+------------+---------------+---------+-----------
1 | G | 1207 | W | N | 2 | | 80016 | 160140
1 | G | 1216 | L | N | 1 | | 80020 | 160348
2 | G | 1201 | L | N | 0 | | 80003 | 160001
2 | G | 1221 | W | N | 1 | | 80023 | 160463
3 | G | 1224 | W | N | 2 | | 80031 | 160532
3 | G | 1218 | L | N | 1 | | 80025 | 160392
4 | G | 1206 | D | N | 1 | | 80008 | 160117
4 | G | 1217 | D | N | 1 | | 80019 | 160369
5 | G | 1222 | L | N | 0 | | 80011 | 160486
5 | G | 1204 | W | N | 1 | | 80022 | 160071
6 | G | 1213 | W | N | 1 | | 80036 | 160279
6 | G | 1212 | L | N | 0 | | 80029 | 160256
7 | G | 1208 | W | N | 2 | | 80014 | 160163
7 | G | 1223 | L | N | 0 | | 80006 | 160508
8 | G | 1219 | W | N | 1 | | 80018 | 160416
8 | G | 1205 | L | N | 0 | | 80012 | 160093
9 | G | 1215 | D | N | 1 | | 80017 | 160324
9 | G | 1220 | D | N | 1 | | 80010 | 160439
10 | G | 1203 | L | N | 0 | | 80004 | 160047
10 | G | 1211 | W | N | 2 | | 80007 | 160231
11 | G | 1202 | L | N | 0 | | 80026 | 160024
11 | G | 1209 | W | N | 2 | | 80028 | 160187
12 | G | 1214 | D | N | 1 | | 80009 | 160302
12 | G | 1210 | D | N | 1 | | 80015 | 160208
13 | G | 1217 | L | N | 1 | | 80001 | 160369
13 | G | 1218 | W | N | 2 | | 80002 | 160392
14 | G | 1216 | D | N | 1 | | 80030 | 160348
14 | G | 1221 | D | N | 1 | | 80032 | 160463
15 | G | 1207 | W | N | 2 | | 80033 | 160140
15 | G | 1201 | L | N | 0 | | 80027 | 160001
16 | G | 1206 | W | N | 2 | | 80005 | 160117
16 | G | 1224 | L | N | 1 | | 80013 | 160531
17 | G | 1223 | L | N | 0 | | 80035 | 160508
17 | G | 1212 | W | N | 2 | | 80034 | 160256
18 | G | 1208 | D | N | 0 | | 80021 | 160163
18 | G | 1213 | D | N | 0 | | 80024 | 160278
19 | G | 1211 | W | N | 1 | | 80016 | 160231
19 | G | 1220 | L | N | 0 | | 80020 | 160439
20 | G | 1205 | D | N | 2 | | 80004 | 160093
20 | G | 1204 | D | N | 2 | | 80007 | 160071
21 | G | 1219 | W | N | 3 | | 80017 | 160416
21 | G | 1222 | L | N | 0 | | 80010 | 160486
22 | G | 1203 | W | N | 3 | | 80009 | 160047
22 | G | 1215 | L | N | 0 | | 80015 | 160324
23 | G | 1210 | D | N | 1 | | 80030 | 160208
23 | G | 1209 | D | N | 1 | | 80032 | 160187
24 | G | 1214 | D | N | 0 | | 80008 | 160302
24 | G | 1202 | D | N | 0 | | 80019 | 160024
25 | G | 1216 | L | N | 0 | | 80035 | 160348
25 | G | 1201 | W | N | 1 | | 80034 | 160001
26 | G | 1221 | D | N | 0 | | 80001 | 160463
26 | G | 1207 | D | N | 0 | | 80002 | 160140
27 | G | 1217 | L | N | 0 | | 80011 | 160369
27 | G | 1224 | W | N | 3 | | 80022 | 160531
28 | G | 1218 | D | N | 0 | | 80003 | 160392
28 | G | 1206 | D | N | 0 | | 80023 | 160117
29 | G | 1223 | L | N | 0 | | 80031 | 160508
29 | G | 1213 | W | N | 1 | | 80025 | 160278
30 | G | 1212 | L | N | 0 | | 80026 | 160256
30 | G | 1208 | W | N | 1 | | 80028 | 160163
31 | G | 1205 | L | N | 0 | | 80033 | 160093
31 | G | 1222 | W | N | 2 | | 80027 | 160486
32 | G | 1204 | W | N | 2 | | 80021 | 160071
32 | G | 1219 | L | N | 1 | | 80024 | 160416
33 | G | 1210 | W | N | 2 | | 80018 | 160208
33 | G | 1202 | L | N | 1 | | 80012 | 160024
34 | G | 1209 | D | N | 3 | | 80014 | 160187
34 | G | 1214 | D | N | 3 | | 80006 | 160302
35 | G | 1211 | L | N | 0 | | 80036 | 160233
35 | G | 1215 | W | N | 1 | | 80029 | 160324
36 | G | 1220 | L | N | 0 | | 80005 | 160439
36 | G | 1203 | W | N | 1 | | 80013 | 160047
37 | R | 1221 | L | P | 1 | 4 | 80004 | 160463
37 | R | 1213 | W | P | 1 | 5 | 80007 | 160278
38 | R | 1224 | W | N | 1 | | 80014 | 160531
38 | R | 1212 | L | N | 0 | | 80006 | 160256
39 | R | 1204 | L | N | 0 | | 80003 | 160071
39 | R | 1214 | W | N | 1 | | 80023 | 160302
40 | R | 1207 | W | N | 2 | | 80008 | 160140
40 | R | 1215 | L | N | 1 | | 80019 | 160324
41 | R | 1208 | W | N | 3 | | 80018 | 160163
41 | R | 1218 | L | N | 0 | | 80012 | 160392
42 | R | 1209 | L | N | 0 | | 80017 | 160187
42 | R | 1203 | W | N | 4 | | 80010 | 160047
43 | R | 1211 | W | N | 2 | | 80009 | 160231
43 | R | 1219 | L | N | 0 | | 80015 | 160416
44 | R | 1206 | L | N | 1 | | 80001 | 160117
44 | R | 1210 | W | N | 2 | | 80002 | 160208
45 | Q | 1213 | L | P | 1 | 3 | 80005 | 160278
45 | Q | 1214 | W | P | 1 | 5 | 80013 | 160302
46 | Q | 1224 | W | N | 3 | | 80001 | 160531
46 | Q | 1203 | L | N | 1 | | 80002 | 160047
47 | Q | 1208 | W | P | 1 | 6 | 80016 | 160163
47 | Q | 1211 | L | P | 1 | 5 | 80020 | 160231
48 | Q | 1207 | W | N | 5 | | 80021 | 160140
48 | Q | 1210 | L | N | 2 | | 80024 | 160208
49 | S | 1214 | W | N | 2 | | 80011 | 160302
49 | S | 1224 | L | N | 0 | | 80022 | 160531
50 | S | 1207 | W | N | 2 | | 80008 | 160140
50 | S | 1208 | L | N | 1 | | 80019 | 160163
51 | F | 1214 | W | N | 1 | | 80004 | 160302
51 | F | 1207 | L | N | 0 | | 80007 | 160140
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 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 Solution:
SQL Code:
-- Selecting match_no, country_name, and stop2_sec from match_mast, match_details, and soccer_country
SELECT match_details.match_no, soccer_country.country_name, match_mast.stop2_sec as "Stoppage Time(sec.)"
-- From clause with JOINs between match_mast, match_details, and soccer_country
FROM match_mast
JOIN match_details ON match_mast.match_no = match_details.match_no
JOIN soccer_country ON match_details.team_id = soccer_country.country_id
-- Where clause to filter results for matches where stop2_sec is in the set of maximum stop2_sec values in match_mast
WHERE stop2_sec IN (
-- Subquery to find the maximum value of stop2_sec in the match_mast table
SELECT MAX(stop2_sec)
FROM match_mast
);
Sample Output:
match_no | country_name | Stoppage Time(sec.)
----------+------------------+---------------------
17 | Ukraine | 411
17 | Northern Ireland | 411
(2 rows)
Code Explanation:
The said query in SQL that selects the match number, country name, and stoppage time in seconds for all matches where the stoppage time in seconds is equal to the maximum stoppage time in seconds across all matches from the tables match_mast, match_details, and soccer_country.
The JOIN clause is used to join the tables match_mast and match_details table based on the match_no column and join the soccer_country table with the results of previous join based on team_id columns of match_details table and country_id column of soccer_country table.
The WHERE clause filters the results to only show matches where the stop2_sec column in the match_mast table is equal to the maximum value of stop2_sec in the same table. The subquery inside the WHERE clause is used to get the maximum value of stop2_sec from the match_mast table.
Alternative Solutions:
Using Subquery in the WHERE Clause:
-- Selecting match_no, country_name, and stop2_sec from match_mast, match_details, and soccer_country
SELECT md.match_no, sc.country_name, mm.stop2_sec as "Stoppage Time(sec.)"
-- From clause with JOINs between match_mast, match_details, and soccer_country
FROM match_mast mm
JOIN match_details md ON mm.match_no = md.match_no
JOIN soccer_country sc ON md.team_id = sc.country_id
-- Where clause to filter results for matches where stop2_sec is equal to the maximum stop2_sec value in match_mast
WHERE mm.stop2_sec = (SELECT MAX(stop2_sec) FROM match_mast);
Explanation:
This query uses a subquery in the WHERE clause to filter the matches. It first selects the maximum stop2_sec from match_mast, and then checks if stop2_sec is equal to the maximum.
Using Subquery in the FROM Clause (Derived Table):
-- This query selects specific columns from multiple tables and calculates stoppage time for a soccer match.
SELECT
md.match_no, -- Selecting the match number from match_details table
sc.country_name, -- Selecting the country name from soccer_country table
mm.stop2_sec as "Stoppage Time(sec.)" -- Selecting the stoppage time from the derived table aliased as mm
FROM (
-- Subquery to select all columns from match_mast table where stop2_sec equals the maximum stoppage time in the match
SELECT *
FROM match_mast
WHERE stop2_sec = (SELECT MAX(stop2_sec) FROM match_mast)
) mm
JOIN match_details md ON mm.match_no = md.match_no -- Joining match_details table with the derived table on match number
JOIN soccer_country sc ON md.team_id = sc.country_id; -- Joining soccer_country table with match_details table on team id
Explanation:
This query uses a subquery in the FROM clause to create a derived table (mm) that contains the records where stop2_sec is the maximum. The main query then joins this derived table with match_details and soccer_country to get the desired columns.
Go to:
PREV : Team(s) who conceded the most goals in EURO cup 2016.
NEXT : Matches end in a goalless draw in group stage of play.
Practice Online
Sample Database: soccer
Have another way to solve this solution? Contribute your code (and comments) through Disqus.
What is the difficulty level of this exercise?
Test your Programming skills with w3resource's quiz.