dont post copied content had already existing answers posting so many times dont post plagiarized content else report Indices can speed up query processing, but it's usually a terrible idea to index every attribute, and everycombination of attributes, that could be used as a search key? Why do you think that is?

Answered: combination of attributes, that could…

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Computer Science

combination of attributes, that could be used as a search key? Wh

Oracle 12c: SQL

3rd Edition

ISBN:9781305251038

Author:Joan Casteel

Publisher:Joan Casteel

Chapter5: Data Manipulation And Transaction Control

Section: Chapter Questions

Problem 3RQ

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Indices can speed up query processing, but it's usually a terrible idea to index every attribute, and every
combination of attributes, that could be used as a search key? Why do you think that is?

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The usage of indices speeds up query processing, but it's typically a bad idea to create one for every potential search key. Why?
An index may help speed up searches, but creating an index for every property or combination of attributes that might be used as search keys is typically a bad idea. I'd want to learn more about this.
Indices can speed up query processing, but indexing every characteristic, and every combination of attributes, that could be used as a search key is typically a bad idea. What makes you think that?
How can a key unique index be created?
What happens if your database doesn't have referential integrity? What mistakes are possible?
Why not make an index out of every column in every table in your database?
When working with a relational database, a select operation may be used to reduce the amount of space used by a table by removing columns that meet certain requirements.Is this the right answer or the wrong answer?
Alternate keys: Identify at least five keys (not already listed as PK or FK) needed by end users. These indexes would be considered Alternate or Secondary keys and are mostly used for queries and quick reporting. They may contain multiple columns.
Create the following table in your database with the following schema: Table: Customer | Column Name Туре | id | int | name varchar | | int | referee id id is the primary key column for this table. Each row of this table indicates the id of a customer, their name, and the id of the customer who referred them. Add the following data to your tables: Input: Customer table: +-- | id | name | referee id | | 1 | 2 | 3 | 4 | 5 | 6 | will | null | Jane | null | Alex | 2 | Bill | null | Zack | 1 | Mark | 2 +--- Write an SQL query to report the IDs of the customer that are not referred by the customer with id = 2. Return the result table in any order. The results should be: Output: | name | | will | | Jane | | Bill | | Zack |
Indices can speed up query processing, but creating indices for every property, or every combination of attributes, that may be used as a search key is typically a terrible idea. Justify your reasoning.
How do you balance the trade-off between indexing for query performance and the overhead of maintaining those indexes?
What is the impact of having sparse columns in a relational database table?