Correlated subquery with multiple conditions
Correlated subqueries are useful for matching data across multiple columns. In the previous exercise, you generated a list of matches with extremely high scores for each country. In this exercise, you're going to add an additional column for matching to answer the question—what was the highest scoring match for each country, in each season?
*Note: this query may take a while to load.
Questo esercizio fa parte del corso
Data Manipulation in SQL
Istruzioni dell'esercizio
- Complete the subquery to select the matches with the highest number of total goals.
- Match the subquery to the main query using the
country_idandseasoncolumns in both tables.
Esercizio pratico interattivo
Prova a risolvere questo esercizio completando il codice di esempio.
SELECT
main.country_id,
main.date,
main.home_goal,
main.away_goal
FROM match AS main
WHERE
-- Filter for matches with the maximum number of total goals scored
(home_goal + away_goal) =
(SELECT ___(___ + sub.away_goal)
FROM match AS sub
-- Join the main query to the subquery in WHERE
WHERE ___ = sub.___
AND ___ = sub.___);