Search icon CANCEL
Subscription
0
Cart icon
Your Cart (0 item)
Close icon
You have no products in your basket yet
Arrow left icon
Explore Products
Best Sellers
New Releases
Books
Videos
Audiobooks
Learning Hub
Conferences
Free Learning
Arrow right icon
Arrow up icon
GO TO TOP
Entity Framework Tutorial (Update)

You're reading from   Entity Framework Tutorial (Update) A comprehensive guide to the Entity Framework with insight into its latest features and optimizations for responsive data access in your projects

Arrow left icon
Product type Paperback
Published in Aug 2015
Publisher
ISBN-13 9781783550012
Length 274 pages
Edition 2nd Edition
Languages
Arrow right icon
Author (1):
Arrow left icon
Joydip Kanjilal Joydip Kanjilal
Author Profile Icon Joydip Kanjilal
Joydip Kanjilal
Arrow right icon
View More author details
Toc

Table of Contents (11) Chapters Close

Preface 1. Introducing the ADO.NET Entity Framework FREE CHAPTER 2. Getting Started 3. Entities, Relationships, and the Entity Data Model 4. Working with Stored Procedures in the Entity Data Model 5. Working with Entity Client and Entity SQL 6. Working with LINQ to Entities 7. Working with the Object Services Layer 8. Working with WCF Data Services A. Advanced Concepts Index

Parallel LINQ


Parallel LINQ is a concurrency execution engine from Microsoft that can be used to execute LINQ queries in parallel by leveraging the multicore processors. It is a part of the managed concurrency library called Parallel Extensions Library. The Parallel Extensions library is comprised of the following:

  • Task Parallel Library (TPL)

  • Parallel LINQ (PLINQ)

In their MSDN article, Running Queries On Multi-Core Processors, Joe Duffy and Ed Essey state:

"PLINQ is a query execution engine that accepts any LINQ-to-Objects or LINQ-to-XML query and automatically utilizes multiple processors or cores for execution when they are available."

The reference is available at: http://msdn.microsoft.com/en-us/magazine/cc163329.aspx.

The following code snippet illustrates how PLINQ can be used:

Int32[] data = new Int32[100];
   for (intintvar index = 0; index < 100; data[index] =
   index + 1, index++);
   var result = from x in data.AsParallel() select x;
   result.ForAll(p => Console.WriteLine...
lock icon The rest of the chapter is locked
Register for a free Packt account to unlock a world of extra content!
A free Packt account unlocks extra newsletters, articles, discounted offers, and much more. Start advancing your knowledge today.
Unlock this book and the full library FREE for 7 days
Get unlimited access to 7000+ expert-authored eBooks and videos courses covering every tech area you can think of
Renews at $19.99/month. Cancel anytime
Banner background image