Question: 2. Consider a relation r(A, B, C, D) that has a clustering index on A and a non-clustering index on each of the other attributes.

2. Consider a relation r(A, B, C, D) that has a

2. Consider a relation r(A, B, C, D) that has a clustering index on A and a non-clustering index on each of the other attributes. Suppose that r has 1000 blocks and 5000 tuples. Assume that the number of different values of attribute A in r is 20 (you may assume they range from 1..20), the number of different values of attribute B in R is 1000 (you may assume they range from 1..1000), the number of different values of attribute C in R is 5000 (you may assume they range from 1..5000), and the number of different values of attribute D in R is 500. Ignoring the index costs, give the best query plan for each of the following selections: 2. Consider a relation r(A, B, C, D) that has a clustering index on A and a non-clustering index on each of the other attributes. Suppose that r has 1000 blocks and 5000 tuples. Assume that the number of different values of attribute A in r is 20 (you may assume they range from 1..20), the number of different values of attribute B in R is 1000 (you may assume they range from 1..1000), the number of different values of attribute C in R is 5000 (you may assume they range from 1..5000), and the number of different values of attribute D in R is 500. Ignoring the index costs, give the best query plan for each of the following selections

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6. What data will she need?

1. How did you go about making your selection?

1. What options best satisfy your core values while acknowledging and faithfully considering the values of other stakeholders?