It sounds like you want to use Linq-to-Sql. In that case you'll need to create a data context. There are plenty of tutorials on that You don't need to use linq to sql, however.
Your source can be any enumerable. A DataReader, for example: using (DbDataReader rdr = cmd.ExecuteReader()) { from c in rdr.Cast() select new XElement("event", new XAttribute("start", c"start"), new XAttribute("end",c"eend"), new XAttribute("title",c"title"), new XAttribute("Color",c"Color"), new XAttribute("link",c"link"))); }.
It sounds like you want to use Linq-to-Sql. In that case you'll need to create a data context. There are plenty of tutorials on that.
You don't need to use linq to sql, however. Your source can be any enumerable. A DataReader, for example: using (DbDataReader rdr = cmd.ExecuteReader()) { from c in rdr.Cast() select new XElement("event", new XAttribute("start", c"start"), new XAttribute("end",c"eend"), new XAttribute("title",c"title"), new XAttribute("Color",c"Color"), new XAttribute("link",c"link"))); }.
The LINQ to SQL provider works only with Microsoft SQL Server databases; to support any generic database, LINQ also includes the LINQ to DataSets, which uses ADO.NET to handle the communication with the database. Once the data is in ADO.NET Datasets, LINQ to DataSets execute queries against these datasets. The LINQ providers can be implemented by third parties for various data sources as well.
Several database server specific providers are available from the database vendors. SSAS Entity Framework Provider13: LINQ to OLAP cubes in SSAS. Casual or beginning users may struggle with subtleties in the LINQ to Objects features and syntax.
A naive implementation can suffer from a serious degradation of performance. LINQ to XML and LINQ to SQL performance compared to ADO.NET depends on the use case. Version 4 of the .
NET framework includes PLINQ, or Parallel LINQ, a parallel execution engine for LINQ queries. It defines the IParallelEnumerable interface. If the source collection implements this interface, the parallel execution engine is invoked.
The PLINQ engine can execute parts of a query concurrently on multiple threads, providing faster results. Saffron is an extension to Java incorporating SQL-like relational expressions. Relations can be in-memory collections, database tables, or other data sources.
It was developed independently of LINQ in 2001 by Julian Hyde, who later authored the Mondrian OLAP server. JLinq jLinq is a fully extensible Javascript library that allows you to perform LINQ style queries on arrays of object. Jlink-node is a fork of jLinq, ported to a node.
Js module by Nik Martin. An NPM Package also available. JSINQ is Kai Jäger's JavaScript implementation of LINQ to Objects.
Also provides a compiler that translates LINQ-style query expressions into JavaScript code. JSLINQ JSLINQ is yet another Javascript library that allows you to perform LINQ style queries on data. Chris Pietschmann's LINQ to JavaScript is a LINQ implementation that extends JavaScript's Array object with LINQ capabilities.
Phinq is Tommy Montgomery's PHP implementation of LINQ. PHPLinq is Maarten Balliauw's PHP implementation of LINQ. Quaere is a Java implementation of LINQ.
JaQue is a typesafe Java implementation of LINQ. JaQu a Java implementation of LINQ. Querydsl is a typesafe Java implementation of LINQ.
SBQL4J is a Java extension with capabilities of LINQ, based on Stack-Based Approach. It provides type safe queries to Java with powerful engine. HxLINQ is a haXe port of Chris Pietschmann's LINQ to JavaScript.
Asq is a Python implementation of LINQ-to-objects and Parallel LINQ-to-objects (PLINQ). Embarcadero Prism, also known as Delphi Prism, supports LINQ. LuaLinq is a Linq-like library for a minimal subset of the Lua scripting language.
LINQ to Objects for the . LINQ for Novell.Directory. Looking to LINQ - Will Microsoft's Language Integrated Query transform programmatic data access?
How does it work in C#?
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