Database System Concepts
7th Edition
ISBN: 9780078022159
Author: Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan
Publisher: McGraw-Hill Education
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Chapter 10, Problem 12E
Explanation of Solution
Opinions for handling the transaction load:
- Query performance must be improved in a centralized system for handling the transaction load.
- While performing Query processing, the following points must be noted,
-
- ○ Reduce the amount of memory and storage needed for query processing.
- ○ Maximize the throughput which means that the number of requests that are processed in a given amount of time should be increased.
- ○ Query Response Time has to be reduced.
- ○ Memory and Storage needed for processing has to be reduced.
- ○ Avoid Cross Product Operations as they result in huge intermediate tables that will require time for processing.
- ○ Perform restrictive select operations before the other operations.
- Query Optimization is performed by following the below given steps:
-
- ○ Generating Query Tree
- The root of this tree represents the whole query and leaf nodes are the tables of the query...
- ○ Generating Query Tree
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Assume your business has developed a database application that operates on a centralized database, but even with a high-end computer and proper indices formed on the data, the system is unable to manage the transaction load, resulting in sluggish query processing. What are some of your alternatives for allowing the program to manage the transaction load?
Suppose your company has built a database application that runs on a centralized database, but even with a high-end computer and appropriate indices created on the data, the system is not able to handle the transaction load, lead ing to slow processing of queries. What would be some of your options to allow the application to handle the transaction load?
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