Complex LINQ query from SQL query?

You could try putting your LINQ query into LINQPad It's a useful free tool that'll show you the raw SQL generated by your LINQ query to help you debug it. It'll work with both LINQ-to-SQL and Entity Framework queries.

You could try putting your LINQ query into LINQPad. It's a useful free tool that'll show you the raw SQL generated by your LINQ query to help you debug it. It'll work with both LINQ-to-SQL and Entity Framework queries.

I used LINQPAD but I can't use it with this query because I am using entites instead of tablename in this query. – DotnetSparrow May 15 at 8:36 only issue is paranthesis or order of where statements. – DotnetSparrow May 15 at 8:37.

From the first look main difference is: - FTS function contains in SQL query - Method Contains in LINQ query (which is translated into like, not into FTS call) If you want to use FTS - you should use table valued functions (TVF) or stored procedures (SP). There are some other options (for example, ExecuteQuery), but I don't find them convenient.

The C# 3.0 specification defines a Query Expression Pattern along with translation rules from a LINQ expression to an expression in a subset of C# 3.0 without LINQ expressions. The translation thus defined is actually un-typed, which, in addition to lambda expressions being interpretable as either delegates or expression trees, allows for a great degree of flexibility for libraries wishing to expose parts of their interface as LINQ expression clauses. For example, LINQ to Objects works on IEnumerables and with delegates, whereas LINQ to SQL makes use of the expression trees.

The expression trees are at the core of the LINQ extensibility mechanism, by which LINQ can be adapted for many data sources. The expression trees are handed over to LINQ Providers, which are data source-specific implementations that adapt the LINQ queries to be used with the data source. If they choose so, the LINQ Providers analyze the expression trees contained in a query in order to generate essential pieces needed for the execution of a query.

This can be SQL fragments or any other completely different representation of code as further manipulatable data. LINQ comes with LINQ Providers for in-memory object collections, SQL Server databases, ADO.NET datasets and XML documents. The LINQ to Objects provider is used for in-memory collections, using the local query execution engine of LINQ.

The code generated by this provider refers to the implementation of the standard query operators as defined on the Sequence pattern and allows IEnumerable collections to be queried locally. Current implementation of LINQ to Objects uses e.g. O(n) linear search for simple lookups, and is not optimised for complex queries. The LINQ to XML provider converts an XML document to a collection of XElement objects, which are then queried against using the local execution engine that is provided as a part of the implementation of the standard query operator.

The LINQ to SQL provider allows LINQ to be used to query SQL Server databases, including SQL Server Compact databases. Since SQL Server data may reside on a remote server, and because SQL Server has its own query engine, LINQ to SQL does not use the query engine of LINQ. Instead, it converts a LINQ query to a SQL query that is then sent to SQL Server for processing.

8 However, since SQL Server stores the data as relational data and LINQ works with data encapsulated in objects, the two representations must be mapped to one another. For this reason, LINQ to SQL also defines a mapping framework. The mapping is done by defining classes that correspond to the tables in the database, and containing all or a subset of the columns in the table as data members.

9 The correspondence, along with other relational model attributes such as primary keys, are specified using LINQ to SQL-defined attributes. This class definition maps to a table named Customers and the two data members correspond to two columns. The classes must be defined before LINQ to SQL can be used.

Visual Studio 2008 includes a mapping designer that can be used to create the mapping between the data schemas in the object as well as the relational domain. It can automatically create the corresponding classes from a database schema, as well as allow manual editing to create a different view by using only a subset of the tables or columns in a table.

Var flight = new Flight(); var x = from s in flight. Segements from p in flight. Pax select new { Pax = p , Segemnt = s }; var y = from a in flight.

Awards from s in a. Segements select new { Pax = a. Pax, Segemnt = s }; var result = x.

Except(y).

I think this single query will product the desired result: var query = from f in flights from p in f. Pax from s in f. Segements from a in f.

Awards where!((a.Pax. Name == p. Name) && (a.Segements.

Select(_ => _. Id). Contains(s.Id))) select new Award { Pax = p, Segements = new { s } }; Obviously, I made some assumptions on how to identify individual passengers and segments.

Also, I'd be very surprised if this query worked as-is when querying an entity framework data source directly.

Var query_join2 = from c in orgSvcContext. Join a in orgSvcContext. Contact_name + " " + c.

Var query_join3 = from c in orgSvcContext. Join a in orgSvcContext. On c"contactid" equals (Guid)((EntityReference)a"primarycontactid").

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