Consider the following database table named top_scorer. Consider the following SQL query:SELECT ta.player FROM top_scorer AS ta WHERE ta.goals >ALL (SELECT tb.goals FROM top_scorer AS tb WHERE tb.country = 'Spain') AND ta.goals >ANY (SELECT tc.goals FROM top_scorer AS tc WHERE tc.country = 'Germany')The number of tuples returned by the above SQL query is ________.

Let us evaluate the two conditions in the WHERE clause:

1. First condition:ta.goals >ALL (SELECT tb.goals FROM top_scorer AS tb WHERE tb.country = 'Spain')

   • There are no players with country = 'Spain' in the top_scorer table.

   • The subquery returns an empty set $\emptyset$.

   • In SQL, > ALL (empty set) evaluates to TRUE for all rows.

2. Second condition:ta.goals >ANY (SELECT tc.goals FROM top_scorer AS tc WHERE tc.country = 'Germany')

   • The subquery returns the goals scored by players from Germany: $\{16, 14, 11, 10, 10\}$.

   • > ANY evaluates to TRUE if ta.goals is strictly greater than at least one element in the set, which means ta.goals > min({16, 14, 11, 10, 10}) = 10.

   • Thus, the condition simplifies to ta.goals > 10.

3. Matching tuples: We count the players with goals > 10:

   • Klose ($16$)

   • Ronaldo ($15$)

   • G Müller ($14$)

   • Fontaine ($13$)

   • Pelé ($12$)

   • Klinsmann ($11$)

   • Kocsis ($11$)

There are a total of 7 such tuples.