How Can I Use LINQ to Query DataTables Efficiently?

Use linq efficient query datata: practical solution

LINQ query provides a strong mechanism for the data query in the .NET application, but directly used it for DataTable objects may face challenges. This article discusses the details of performing Linq query on DataTable and provides a simple solution.

Overcoming restrictions

The main obstacle to executing the linq query on the DataTable is that the ROWS collection of the DataTable does not implement the Ienumeration

interface. This limit prevents you from directly inquiring the DataTable object.

Asnumerable () extension method

In order to overcome this limit and enable the linq query, we need to use the asenumerabLE () extension method. This expansion method converts the Datatable object to Ienumeration

collection, and then you can use the Linq expression to query it. The following code fragment demonstrates how to use Asenumeration () to perform linq query on datatable:

<code class="language-csharp">var results = from myRow in myDataTable.AsEnumerable()
              where myRow.Field<int>("RowNo") == 1
              select myRow;</code>

Remember to add a reference to the System.data.dataSetextExEnsions assembly to access the asenumerable () extension method.

Other precautions

It should be noted that the AsenuMerabLE () method returns a Ienumeration

, which may not be the output required by the application. To solve this problem, you can use the CopyTodatatable () extension method to convert Ienumeration

into the DataTable object. Lambda expression grammar

Lambda expression syntax provides a simple and easy -to -read traditional Linq query alternative. The following code fragment uses Lambda expressions to demonstrate the same query:

Summary

<code class="language-csharp">var result = myDataTable.AsEnumerable()
    .Where(myRow => myRow.Field<int>("RowNo") == 1);</code>

By using the Asenumerab () extension method, you can seamlessly perform the Linq query on DataTable to release its entire potential in data operation and retrieval. This solution enables developers to simplify its data access code and improve the performance of the .NET application.

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