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ASP.NET Core 2 High Performance

ASP.NET Core 2 High Performance - Second Edition

By : Singleton
2.3 (3)
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ASP.NET Core 2 High Performance

ASP.NET Core 2 High Performance

2.3 (3)
By: Singleton

Overview of this book

The ASP.NET Core 2 framework is used to develop high-performance and cross-platform web applications. It is built on .NET Core 2 and includes significantly more framework APIs than version 1. This book addresses high-level performance improvement techniques. It starts by showing you how to locate and measure problems and then shows you how to solve some of the most common ones. Next, it shows you how to get started with ASP.NET Core 2 on Windows, Mac, Linux, and with Docker containers. The book illustrates what problems can occur as latency increases when deploying to a cloud infrastructure. It also shows you how to optimize C# code and choose the best data structures for the job. It covers new features in C# 6 and 7, along with parallel programming and distributed architectures. By the end of this book, you will be fixing latency issues and optimizing performance problems, but you will also know how this affects the complexity and maintenance of your application. Finally, we will explore a few highly advanced techniques for further optimization.
Table of Contents (13 chapters)
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3
Setting Up Your Environment
4
Measuring Performance Bottlenecks

Select N+1 problems

You may have heard of select N+1 problems before. It's the name for a class of performance problems that relate to inefficient querying of a DB. The pathological case is where you query one table for a list of items and then query another table to get the details for each item, one at a time. This is where the name comes from. Instead of the single query required, you perform N queries (one for the details of each item) and one query to get the list to begin with. Perhaps a better name would be select 1+N. The example at the end of the Latency section (earlier in this chapter) illustrates a select N+1 problem.

You will hopefully not write such bad-performing queries by hand, but an O/RM can easily output very inefficient SQL if used incorrectly. You might also use some sort of business object abstraction framework, where each object lazily loads itself...

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