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How to Filter DataTables within DataSets for DataGridViews without Modifying the Data Source?

Patricia Arquette
Release: 2025-01-25 09:47:10
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How to Filter DataTables within DataSets for DataGridViews without Modifying the Data Source?

Efficiently filter the DataTable in DataSet without modifying the data source

Introduction

Depending on the data source, there are many methods for DataGridView data filtering. However, filtering a DataTable within a DataSet presents unique challenges when using the DataGridView.DataSource property. This article explores solutions to this problem that allow filtering without changing the data source.

Problem Overview

Binding a DataTable directly to a DataGridView (Example 1) allows filtering using the DataTable.DefaultView.RowFilter property. However, the same filtering method does not update the DataGridView when binding a DataTable from a DataSet (Example 3). This is because the DataGridView.DataSource property is set to a DataSet, not the underlying DataTable.

Solution: Keep the data source

In order to filter the DataTable in the DataSet without changing the data source, we can use the following method:

  1. Get the DataTable from the DataSet using the DataMember property:
<code class="language-csharp">DataTable table = (DataTable)dataGridView1.DataSource;</code>
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  1. Apply a filter to the DataTable using the DefaultView.RowFilter property:
<code class="language-csharp">table.DefaultView.RowFilter = string.Format("Field = '{0}'", textBoxFilter.Text);</code>
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Explanation

By accessing the DataTable from the DataMember property, we can filter the underlying DataTable without changing the DataGridView.DataSource. This preserves the data source and allows other operations to be performed on the DataSet as needed.

Conclusion

Filtering DataTable objects in a DataSet for a DataGridView requires a different approach than when the DataTable is bound directly to the grid. By leveraging the DataMember property and applying the filter to the underlying DataTable, we can effectively filter the data without affecting the integrity of the data source.

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