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Exercise 11.7 Consider a relation R(a, b, c, d) containing 1 million records, where each page of the relation holds 10 records. R is organized as a heap file with unclustered indexes, and the records in R are randomly ordered. Assume that attribute a is a candidate key for R, with values lying in the range 0 to 999,999. For each of the following queries, name the approach that would most likely require the fewest I/Os for processing the query. The approaches to consider follow: Scanning through the whole heap file for R. Using a B+ tree index on attribute R.a. • Using a hash index on attribute R.a. The queries are: 1. Find all R tuples. 2. Find all R tuples such that a < 50. 3. Find all R tuples such that a = 50. %3D 4. Find all R tuples such that a > 50 and a < 100.

Exercise 11.7 Consider a relation R(a, b, c, d) containing 1 million records, where each page of the relation holds 10 records. R is organized as a heap file with unclustered indexes, and the records in R are randomly ordered. Assume that attribute a is a candidate key for R, with values lying in the range 0 to 999,999. For each of the following queries, name the approach that would most likely require the fewest I/Os for processing the query. The approaches to consider follow: Scanning through the whole heap file for R. Using a B+ tree index on attribute R.a. • Using a hash index on attribute R.a. The queries are: 1. Find all R tuples. 2. Find all R tuples such that a < 50. 3. Find all R tuples such that a = 50. %3D 4. Find all R tuples such that a > 50 and a < 100.

Computer Networking: A Top-Down Approach (7th Edition)
Computer Networking: A Top-Down Approach (7th Edition)
7th Edition
ISBN:9780133594140
Author:James Kurose, Keith Ross
Publisher:James Kurose, Keith Ross
Chapter1: Computer Networks And The Internet
Section: Chapter Questions
Problem R1RQ: What is the difference between a host and an end system? List several different types of end...
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Exercise 11.7 Consider a relation R(a, b, c, d) containing 1 million records, where each page of the relation holds 10 records. R is organized as a heap file with unclustered indexes, and the records in R are randomly ordered. Assume that attribute a is a candidate key for R, with values lying in the range 0 to 999,999. For each of the following queries, name the approach that would most likely require the fewest I/Os for processing the query. The approaches to consider follow: Scanning through the whole heap file for R. Using a B+ tree index on attribute R.a. Using a hash index on attribute R.a. The queries are: 1. Find all R tuples. 2. Find all R tuples such that a < 50. 3. Find all R tuples such that a = 50. 4. Find all R tuples such that a > 50 and a < 100.
Transcribed Image Text:Exercise 11.7 Consider a relation R(a, b, c, d) containing 1 million records, where each page of the relation holds 10 records. R is organized as a heap file with unclustered indexes, and the records in R are randomly ordered. Assume that attribute a is a candidate key for R, with values lying in the range 0 to 999,999. For each of the following queries, name the approach that would most likely require the fewest I/Os for processing the query. The approaches to consider follow: Scanning through the whole heap file for R. Using a B+ tree index on attribute R.a. Using a hash index on attribute R.a. The queries are: 1. Find all R tuples. 2. Find all R tuples such that a < 50. 3. Find all R tuples such that a = 50. 4. Find all R tuples such that a > 50 and a < 100.
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