Consider a social network database about people and their relationships. The database has two relations: Person ( pid, name ) Relationship ( pid1, rel, pid2 ) The key fields are underlined: Person. pid is the key for Person, and Relationship. pid1 and Relationship. pid2 are foreign keys to Person. rel is a string representing the relationship type, and it can only be ’friend’ or ’enemy’. So, a tuple (1,’friend’,2), means that the person with id 1 considers the person with id 2 a friend. Note that the relationship is not symmetric: if Alice is friend with Bob, it does not imply that Bob is friend with Alice. Required:
Create a view called mutual that contains pairs of people who share mutual feelings for each other (i. e., they consider each other friends or enemies). The schema of your view should be mutual(name1,name2).

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When making changes to optimize part of a processor, it is often the case that speeding up one type of instruction comes at the cost of slowing down something else. for example, if we put in a complicated fast floating-point unit, that takes space, and something might have to be moved farther away from the middle to accommodate it, adding an extra cycle in delay to reach that unit. the basic amdahl's law equation does not take into account this trade-off. a. if the new fast floating-point unit speeds up floating-point operations by, on average, 2ă—, and floating-point operations take 20% of the original program's execution time, what is the overall speedup (ignoring the penalty to any other instructions)? b. now assume that speeding up the floating-point unit slowed down data cache accesses, resulting in a 1.5ă— slowdown (or 2/3 speedup). data cache accesses consume 10% of the execution time. what is the overall speedup now? c. after implementing the new floating-point operations, what percentage of execution time is spent on floating-point operations? what percentage is spent on data cache accesses?