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Exercise #15 (tips and solutions)

The incorrect solution 1.11.1 for this exercise can be corrected easily by using, instead of the model number, the proper column – the primary key code - for distinguishing PCs:

Console
Execute
  1. SELECT DISTINCT t.hd 
  2. FROM PC t 
  3. WHERE EXISTS (SELECT * 
  4.               FROM PC 
  5.               WHERE pc.hd = t.hd AND 
  6.                     pc.code <> t.code
  7.               );

Since it is sufficient to check matching hard drive capacities for as little as two PCs, a self-join of the PC table with the same conditions can be used:

Console
Execute
  1. SELECT DISTINCT pc1.hd 
  2. FROM PC pc1, PC pc2 
  3. WHERE pc1.hd = pc2.hd AND 
  4.       pc1.code <> pc2.code;

However, the optimal solution would be using grouping with a filtering condition in a HAVING clause

Console
Execute
  1. SELECT
  2. PC.hd FROM PC
  3. GROUP BY hd
  4. HAVING COUNT(hd) > 1;

For the sake of completeness, here is another solution using a subquery with grouping, whose performance is inferior to that of the one above:

Console
Execute
  1. SELECT DISTINCT hd
  2. FROM PC
  3. WHERE (SELECT COUNT(hd) 
  4.        FROM PC pc2 
  5.        WHERE pc2.hd = pc.hd
  6.        ) > 1;

The reason for the low efficiency of the solutions with subqueries is that they all use a correlated subquery, i. e. a subquery to be re-executed for each row returned by the main query. The query using join is the worst-performing one. This is quite understandable, since join operations are very costly despite the fairly efficient algorithms of their implementation [ 5 ].

Return to discussion of exercise #15

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