Question: Given the following relational database schema related to the Squid Game TV show: PLAYERS ( PlayerID , Name, Age, Gender ) GAMES ( GameID ,

Given the following relational database schema related to the Squid Game TV show:
PLAYERS (PlayerID, Name, Age, Gender)
GAMES (GameID, GameName, DifficultyLevel)
PLAYER_PERFORMANCE (PlayerID, GameID, Score, Status)
Suppose that the PLAYERS table has 3500 records stored in 53 disk blocks and the following access
paths:
A primary index on PlayerID, with levels xPlayerID =3.
A clustering index on Gender, with levels xGender =1. There are a total of 3 distinct values for
Gender.
A bitmap index on Age that is stored in 2 disk blocks. There are a total of 24 distinct values for
Age.
For each of the following selection operations, compute the cost of performing the operation using the
brute force approach and the available indices. Justify which method is more cost-effective for each
operation.
OP1:
sPlayerID =007(PLAYERS)[5 points]
OP2:
sGender !=Female(PLAYERS [5 points]
OP3:
sGender =Female AND Age IN (20,30,40)(PLAYERS)[5 points]

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