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How to Populate an ADO.NET DataTable from an HTML Table?

Barbara Streisand
Release: 2025-02-03 07:48:17
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How to Populate an ADO.NET DataTable from an HTML Table?

Import HTML table data into Ado.net Datatable

Background:

In order to facilitate data processing, it is often necessary to extract data from the HTML table and store them into a structural format, such as Ado.net Datatable. This makes data processing and operation easier. This article discusses how to perform this conversion efficiently.

html table:

Consider the following HTML table, which contains detailed information on employee vacation:

Extract and fill in data:

<code><table></table></code>
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Fill in Ado.Net Datatable from the data from the HTML table, we can follow the following steps:

<.> 1. Analyze HTML table:

First, use the HTML parsing library to extract the data structure that is easier to process.

<.> 2. Create datata:

Create an Ado.net datatable, which match the data type and data type with the HTML table data.

<.> 3. Fill datatable:

Data structured through the analysis, fill the DataTable by creating a new line and adding the corresponding values ​​to the corresponding list.

<.> 4. Map the name of the HTML form to the model attribute:

Make sure that the name attribute input the control in the HTML table matches the attribute name in the model to achieve correct binding. For example, for the "LeaveType" column, the name attribute should be "LeaveDetailsList [0] .leaveType".

<.> 5. Use custom Editortemplate or for loop:

In order to achieve the correct binding, you can use for cycle or custom Editortemplate to generate the corresponding name property of the input control. Sample code:

The following C#code demonstrates how to use the above method to fill the Ado.net datatable from the html table:

Conclusion:

This article provides a comprehensive guide to extract data from the HTML table and fills Ado.net Datatable. By following these steps and using the example code provided, developers can effectively perform this operation, so as to further process and operate data as needed.

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