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Hands-On Enterprise Application Development with Python

You're reading from   Hands-On Enterprise Application Development with Python Design data-intensive Application with Python 3

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Product type Paperback
Published in Dec 2018
Publisher Packt
ISBN-13 9781789532364
Length 374 pages
Edition 1st Edition
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Author (1):
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Saurabh Badhwar Saurabh Badhwar
Author Profile Icon Saurabh Badhwar
Saurabh Badhwar
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Table of Contents (19) Chapters Close

Preface 1. Using Python for Enterprise 2. Design Patterns – Making a Choice FREE CHAPTER 3. Building for Large-Scale Database Operations 4. Dealing with Concurrency 5. Building for Large-Scale Request Handling 6. Example – Building BugZot 7. Building Optimized Frontends 8. Writing Testable Code 9. Profiling Applications for Performance 10. Securing Your Application 11. Taking the Microservices Approach 12. Testing and Tracing in Microservices 13. Going Serverless 14. Deploying to the Cloud 15. Enterprise Application Integration and its Patterns 16. Microservices and Enterprise Application Integration 17. Assessment 18. Other Books You May Enjoy

Understanding lazy loading versus eager loading

When we make a query to load the data from a database, there is a huge possibility that this operation might define the response time of the applications we build. This happens mainly when there is a lot of data that needs to be loaded and the application waits on the database to return all those rows and columns back to it.

Such operations may take some time, ranging from a few milliseconds to more than 10 seconds, depending on how much data is being queried from the database. The question here is, can we optimize this to improve the response times of our application?

The answer to this lies in the use of SQL relationships and ORM layer loading techniques. While relationships can help us to define how the two models relate to each other, loading techniques define how relationships are retrieved by the ORM. When a lot of data needs...

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