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This article mainly explains "how to understand the LINQ query architecture". Interested friends may wish to take a look. The method introduced in this paper is simple, fast and practical. Let's let the editor take you to learn how to understand the LINQ query architecture.

LINQ (pronunciation: Link) is the abbreviation of Language Integrated Query. It is a feature integrated in .NET programming languages (such as C #, VB.NET, etc.). It aims to provide a more general and convenient way to query information for .NET Framework, and it provides extensive support for data sources, not just relational databases and XML.

LINQ not only allows query expressions to benefit from existing code specifications such as rich metadata, compile-time syntax checking, static typing, and IntelliSense, but it also makes it easy for queries to query information in memory rather than just external data sources.

LINQ defines a set of standard query operators to more directly declare a uniform way of spanning, filtering, and projecting operations in all .NET-based programming languages, standard query operators allow queries to act on all sources based on IEnumerable interfaces, and it also allows third-party domain-specific operators appropriate to the target domain or technology to expand the set of standard query operators and, more importantly, Third-party operators are free to replace standard query operators with their own implementations that provide additional services, and according to the custom of the LINQ pattern, these queries prefer the same language integration and tool support as standard query operators.

The extensibility of the LINQ query architecture (below) is used to provide LINQ with SQL data and working implementations on top of XML. The query operator for XML (LINQ to XML) uses an efficient, easy-to-use, in-memory XML tool to provide XPath/XQuery functionality in the host programming language The query operator (LINQ to SQL) for relational data is based on the integration of SQL-based schema definitions in the common language type system, which provides strong typing on top of relational data while maintaining the expressiveness of the relational model and the performance of direct query evaluation of the underlying storage.

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