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Скачать или смотреть Resolving Database Locked Errors in SQLite with WAL Mode and Connection Pooling

  • vlogize
  • 2025-04-15
  • 39
Resolving Database Locked Errors in SQLite with WAL Mode and Connection Pooling
Why the SQLite database file is locked using WAL Mode and Pooling enabled?c#sqlitewaldatabase concurrencydatabase locking
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Описание к видео Resolving Database Locked Errors in SQLite with WAL Mode and Connection Pooling

Learn how to fix database locking issues in SQLite when using WAL mode and connection pooling in your C# application.
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This video is based on the question https://stackoverflow.com/q/68677497/ asked by the user 'Vini121' ( https://stackoverflow.com/u/16551663/ ) and on the answer https://stackoverflow.com/a/68678836/ provided by the user 'Vini121' ( https://stackoverflow.com/u/16551663/ ) at 'Stack Overflow' website. Thanks to these great users and Stackexchange community for their contributions.

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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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Resolving Database Locked Errors in SQLite with WAL Mode and Connection Pooling

Using a SQLite database can be a straightforward way to manage data in your C# applications. However, many developers encounter a common issue: the dreaded database is locked error. In this post, we'll uncover how to resolve these locking issues, particularly when using Write-Ahead Logging (WAL) mode and connection pooling.

Understanding the Issue

If your program frequently writes data to the SQLite database while simultaneously querying it, you might face locking problems. The symptoms often appear as error messages like:

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

This occurs even if you've enabled WAL mode and activated connection pooling. Therefore, the question arises: Why is this happening?

Why the Database Gets Locked

The Role of WAL Mode

WAL mode allows for concurrent reads and writes. In essence, it allows multiple database connections to read and write at the same time without locking the entire database. However, it may not effectively prevent lock conflicts under certain configurations.

Connection Pooling

Connection pooling is designed to reuse existing database connections, thus reducing overhead. While pooling helps improve performance, it can also result in locked database instances if not configured properly.

The Solution: Adjusting the Synchronous Pragma

The root of the locking issue often lies in the default settings of the SQLite database. By default, SQLite uses the FULL synchronous setting, which ensures that data integrity is prioritized, at the expense of performance. This means that writes are fully synced with the database file, which can cause delays and lead to locking errors during simultaneous read and write operations.

Steps to Fix the Issue

Change the Synchronous Setting to NORMAL:

When using WAL mode, setting the synchronous pragma to NORMAL can significantly decrease lock contention. This setting allows writes to proceed while providing a moderate level of integrity.

Here’s how you can set it in your C# code:

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

Testing and Validation:

After making the adjustment, thoroughly test your application to ensure that the locking errors are resolved. Monitor the program during execution to confirm that data can be written concurrently without encountering database access issues.

Conclusion

By adjusting the synchronous pragma to NORMAL while using WAL mode, you can eliminate persistent database is locked errors that occur in SQLite, even with connection pooling enabled.

Take these insights into consideration when setting up your database to enhance both the performance and reliability of your applications. If you continue to experience issues, further examining your queries and optimizing how you handle database connections may also help.

By applying these changes, you will keep your SQLite database operational efficiently without the frustrations of locking errors. Happy coding!

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