By Sergey Barskiy
Take your facts entry abilities to the subsequent point with Entity Framework
About This Book
tips on how to create, retrieve, replace, and delete the information in a relational database utilizing .NET
choose between an array of examples in C# and VB.NET that exhibit the most important innovations of Entity Framework
it is a fast moving, sensible consultant in keeping with the code-first strategy for the Entity object-relational mapper
Who This booklet Is For
This booklet is meant for software program builders with a few past event with the Microsoft .NET framework who are looking to how one can use Entity Framework. This e-book gets you up and working quick, delivering many examples that illustrate all of the key thoughts of Entity Framework.
Entity Framework Code-First permits builders to learn and write facts in a relational database approach utilizing C# or VB.NET. it's Microsoft's solution to call for for an ORM from .NET developers.
This e-book might help you purchased the required abilities to application your purposes utilizing Entity Framework. you'll begin with database configuration and the way to write sessions that outline the database constitution. you can see how LINQ can be utilized with Entity Framework to offer you entry to saved info. you are going to then the right way to use Entity Framework to persist details in a Relational Database administration method. additionally, you will see how one can reap the benefits of writing ORM-based .NET code. ultimately, you are going to find out how Entity Framework may help to unravel database deployment difficulties utilizing migrations.
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Additional info for Code-First Development with Entity Framework
1. 6. NON-DETERMINISTIC FINITE AUTOMATA 31 nfa, is appealing because it maintains (on the surface) the well-deﬁned accepting mechanism of the nfa. Of course, implementing nondeterministic choice in this way would be quite diﬃcult. • When the nfa confronts a nondeterministic choice, it clones itself to pursue each possible transition. When any instance of the nfa exhausts its input and ﬁnds itself in a ﬁnal state, it reports success and all its clones terminate. This model, while somewhat more complex, clearly pursues the complete set of paths through the nfa’s transition graph.
Consider the following modiﬁcation of the earlier nfa, where we have added one additional edge—a transition from sf to itself on ϕ. 9. 11: Removing -transitions The nfa on the right would result from combining the states. Where the original nfa accepted words that contained the substring ϕ∗ β ∗ , the new nfa accepts words containing (ϕ | β)∗ . Coalescing the states changed the language! 11 shows an algorithm that eliminates -moves by duplicating transitions. The underlying idea is quite simple.
We can obtain a tighter time bound by observing that | E(n) | can be no larger than the number of states involved in a path leaving n that is labeled entirely with ’s. Thus, the time required for a computation must be related to the number of nodes in that path. The largest E(n) set can have N nodes. Consider that longest path. The algorithm cannot halt until the name of the last node on the path reaches the ﬁrst node on the path. In each iteration of the outer loop, the name of the last node must move one or more steps closer to the head of the path.
Code-First Development with Entity Framework by Sergey Barskiy