SQL Exercise: Matches, 2nd highest stoppage time in the 2nd half
SQL soccer Database: Subqueries Exercise-11 with Solution
11. From the following table, write a SQL query to find the teams played the match where second highest stoppage time had been added in second half of play. Return match_no, play_date, stop2_sec.
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 match numbers, play dates, and stop2_sec values from the 'match_mast' table
-- where the difference in counts of distinct stop2_sec values greater than the current stop2_sec is equal to 1.
SELECT match_no, play_date, stop2_sec
-- Selects the 'match_no', 'play_date', and 'stop2_sec' columns.
FROM match_mast a
-- 'match_mast' is the name of the table being queried, using alias 'a'.
WHERE (2 - 1) = (
-- The WHERE clause checks if the difference between 2 and 1 is equal to the count of distinct stop2_sec values greater than the current stop2_sec in the subquery.
SELECT COUNT(DISTINCT(b.stop2_sec))
-- The subquery counts distinct stop2_sec values from the 'match_mast' table, using alias 'b'.
FROM match_mast b
-- 'match_mast' is the name of the table involved in the subquery, using alias 'b'.
WHERE b.stop2_sec > a.stop2_sec
-- Further filters rows in the subquery where stop2_sec is greater than the stop2_sec of the outer query.
);
Sample Output:
match_no | play_date | stop2_sec
----------+------------+-----------
15 | 2016-06-16 | 374
(1 row)
Code Explanation:
The said query in SQL that selects the match number, play date, and stop2_sec values from the match_mast table.
The WHERE clause of the outer query compares the value of (2-1) to a subquery that counts the number of distinct stop2_sec values in the match_mast table aliased as "b" that are greater than the stop2_sec value in the current row of the outer query ("a.stop2_sec").
The subquery is executed for each row in the match_mast table, comparing the stop2_sec value in the current row of the outer query to all other stop2_sec values in the table, counting the number of distinct values that are greater.
If the count of distinct stop2_sec values that are greater than the stop2_sec value in the current row of the outer query is equal to (2-1) = 1, the row is returned in the result set.
In other words, the query is selecting the matches where the stop2_sec value is the second lowest in the match_mast table.
Alternative Solutions:
Using Subquery with Correlation:
SELECT match_no, play_date, stop2_sec
FROM match_mast a
WHERE (
SELECT COUNT(DISTINCT b.stop2_sec)
FROM match_mast b
WHERE b.stop2_sec > a.stop2_sec
) = 1;
Explanation:
This query uses a correlated subquery to count the number of distinct stop2_sec values greater than the stop2_sec value of each row in the main query. It then compares this count to 1.
Using Subquery with JOIN:
SELECT a.match_no, a.play_date, a.stop2_sec
FROM match_mast a
JOIN (
SELECT DISTINCT stop2_sec
FROM match_mast
) b ON a.stop2_sec < b.stop2_sec
GROUP BY a.match_no, a.play_date, a.stop2_sec
HAVING COUNT(*) = 1;
Explanation:
This query uses a subquery with a join to create a list of distinct stop2_sec values. It then joins this list with the main table and groups the results. The HAVING clause ensures that only rows with a count of 1 are selected.
Using Self Join:
SELECT a.match_no, a.play_date, a.stop2_sec
FROM match_mast a
LEFT JOIN match_mast b ON a.stop2_sec < b.stop2_sec
GROUP BY a.match_no, a.play_date, a.stop2_sec
HAVING COUNT(b.stop2_sec) = 1;
Explanation:
This query uses a self-join on the match_mast table, where a.stop2_sec is less than b.stop2_sec. It then groups the results and uses the HAVING clause to select only rows where there is exactly one b.stop2_sec.
Practice Online
Sample Database: soccer
Query Visualization:
Duration:
Rows:
Cost:
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Previous SQL Exercise: Teams, 2nd highest stoppage time added in the 2nd half.
Next SQL Exercise: The team Portugal defeated in the EURO cup 2016 final.
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