Consider the relation EMPLOYEE(Eid, Name, Did, Salary, Age, Phone). Create indexes to support the following three important queries. Describing these indexes (tree, hash, cluster, etc.) and explaining your reasons are sufficient. You do not need to write the SQL statements. SELECT E.Phone SELECT E.Name SELECT E.Did, AVG (E.Salary) FROM EMPLOYEE E FROM EMPLOYEE E FROM EMPLOYEE E WHERE E.Eid = ... some ID WHERE E.Age < 45 GROUP BY E.Did

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
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Consider the relation EMPLOYEE(Eid, Name, Did, Salary, Age, Phone). Create indexes to
support the following three important queries. Describing these indexes (tree, hash, cluster, etc.) and
explaining your reasons are sufficient. You do not need to write the SQL statements.
SELECT E.Phone
SELECT E.Name
SELECT
E.Did, AVG (E.Salary)
FROM EMPLOYEE E
FROM EMPLOYEE E
FROM
EMPLOYEE E
WHERE E.Eid = . some ID
WHERE E.Age < 45
GROUP BY E.Did
Transcribed Image Text:Consider the relation EMPLOYEE(Eid, Name, Did, Salary, Age, Phone). Create indexes to support the following three important queries. Describing these indexes (tree, hash, cluster, etc.) and explaining your reasons are sufficient. You do not need to write the SQL statements. SELECT E.Phone SELECT E.Name SELECT E.Did, AVG (E.Salary) FROM EMPLOYEE E FROM EMPLOYEE E FROM EMPLOYEE E WHERE E.Eid = . some ID WHERE E.Age < 45 GROUP BY E.Did
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