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.

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.

Database System Concepts

7th Edition

ISBN:9780078022159

Author:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan

Publisher:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan

Chapter1: Introduction

Section: Chapter Questions

Problem 1PE

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Question

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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