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Скачать или смотреть Resolving the ExecuteNonQuery() Issue in C# with OleDbCommand

  • vlogize
  • 2025-04-08
  • 6
Resolving the ExecuteNonQuery() Issue in C#  with OleDbCommand
SQL query ExecuteNonQuery(); is not workingc#sqlms accessoledbconnectionexecutenonquery
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Описание к видео Resolving the ExecuteNonQuery() Issue in C# with OleDbCommand

Discover the reasons why your `ExecuteNonQuery()` method might return zero affected rows in C# and how to fix it when using OleDb with MS Access.
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This video is based on the question https://stackoverflow.com/q/76590998/ asked by the user 'AryA Ahang' ( https://stackoverflow.com/u/22156448/ ) and on the answer https://stackoverflow.com/a/76591024/ provided by the user 'marc_s' ( https://stackoverflow.com/u/13302/ ) at 'Stack Overflow' website. Thanks to these great users and Stackexchange community for their contributions.

Visit these links for original content and any more details, such as alternate solutions, latest updates/developments on topic, comments, revision history etc. For example, the original title of the Question was: SQL query ExecuteNonQuery(); is not working

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The original Question post is licensed under the 'CC BY-SA 4.0' ( https://creativecommons.org/licenses/... ) license, and the original Answer post is licensed under the 'CC BY-SA 4.0' ( https://creativecommons.org/licenses/... ) license.

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Understanding the ExecuteNonQuery() Problem with OleDbCommand

When working with databases in C# , particularly with Microsoft Access using the OleDb data provider, developers often run into issues when executing commands to update data. One common problem involves the ExecuteNonQuery() method returning zero affected rows even when it seems like it should perform an update. This article delves into why this happens and how you can effectively resolve the issue.

The Problem

In your situation, you have an SQL UPDATE command structured as follows:

[[See Video to Reveal this Text or Code Snippet]]

Despite executing this command, your result indicates that no rows were affected:

[[See Video to Reveal this Text or Code Snippet]]

This can lead to frustration as your expectation is to update an entry, but instead, you get a confirmation of no updates performed.

The Source of the Issue

The root cause of this issue lies in how OleDbCommand handles parameters. Unlike other data access technologies that support named parameters, OleDbCommand does not support named parameters. Instead, it relies on positional parameters.

Key Points to Remember:

Positional Parameter Requirement: Parameters should be added to the command in the same order they are referenced in the SQL query.

Example Parameter Order:

@ pWBSID

@ pProjectID

@ pFridayWorkHours

@ pid

If the parameters are not provided in this correct order, the OleDbCommand may not find the intended row to update, resulting in zero affected rows.

Solution Steps

To resolve the issue and ensure that your UPDATE query works as intended, follow these steps:

Adjust the Parameter Order: Ensure that you add parameters to the OleDbCommand in the same order as they appear in the SQL command.

Update your code as follows:

[[See Video to Reveal this Text or Code Snippet]]

Check Parameter Types: Make sure that the data types of parameters match the expected types in your database. In this case, ensure FridayWorkHours is an integer and ID should not be framed with additional quotes as it’s a numeric field.

Verify Database Records: Before running your update, double-check that there is indeed a record that matches the conditions specified in your WHERE clause. If the record does not exist, the result will naturally be zero affected rows.

Conclusion

By understanding how OleDbCommand processes SQL parameters and ensuring correct ordering, you can effectively use ExecuteNonQuery() to perform database updates without encountering the issue of zero affected rows. Make sure you revise your approach to parameter binding, and you will find success in executing your database commands.

This insight into OleDbCommand’s parameter handling can significantly improve your data manipulation tasks, ensuring you avoid common pitfalls and enhance your application's data integrity.

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