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Скачать или смотреть How to Effectively Log and Debug PostgreSQL Functions in Supabase

  • vlogize
  • 2025-04-07
  • 24
How to Effectively Log and Debug PostgreSQL Functions in Supabase
Supabase Postgre / Database Function how to log and debug?postgresqlloggingsupabaseplv8
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Описание к видео How to Effectively Log and Debug PostgreSQL Functions in Supabase

Learn how to effectively log and debug your PostgreSQL functions using PLV8 in Supabase. Discover tips to view logs and troubleshoot errors more effectively.
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This video is based on the question https://stackoverflow.com/q/76504434/ asked by the user 'jmsandiegoo' ( https://stackoverflow.com/u/9213266/ ) and on the answer https://stackoverflow.com/a/76517611/ provided by the user 'jmsandiegoo' ( https://stackoverflow.com/u/9213266/ ) 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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How to Effectively Log and Debug PostgreSQL Functions in Supabase

In the world of software development, bugs and errors are an everyday occurrence. When using Supabase, a popular open-source alternative to Firebase, developers might find themselves needing to debug their PostgreSQL functions. A common scenario involves logging information from PLV8 functions to aid in debugging.

The Problem

One developer faced an issue where they found it challenging to see logs from their PostgreSQL function implemented in PLV8, particularly when attempting to log the received request data. Despite seeing some error messages, the specific logs they generated were not appearing. Here’s the error they encountered:

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

This highlighted the importance of effective logging to troubleshoot the issue further.

The Solution: Using the Right Log Level

After attempting various methods, a breakthrough was reached: use LOG level instead of INFO in the plv8.elog function. This minor adjustment allows developers to filter logs appropriately within PostgreSQL logs on Supabase.

Step-by-Step Guide

To implement proper logging in your PLV8 functions, follow these steps:

Modify Logging Levels:
Replace instances of plv8.elog(INFO, message) with plv8.elog(LOG, message). The LOG level is more suited for general logging, making it easier to find necessary information when debugging.

From:

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

To:

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

Check PostgreSQL Logs:
After updating the logging level, go to PostgreSQL logs within the Supabase dashboard. You should be able to see the logs generated by your function, which can help in identifying any errors or issues.

Review the Logged Data: Ensure that critical data, such as request_data, is being logged. This gives insight into what data is being processed and where potential issues may arise.

Error Handling: Always ensure that any exceptions are logged using the plv8.elog(ERROR, error.message); line to capture any errors you may encounter during execution.

Further Debugging Tips

Add More Logs for Clarity: You could add more logging at different stages in your function to get a clearer picture of how data changes.

Test with Sample Data: Before deploying your function in production, test it thoroughly with sample data to identify any bugs early on.

Documentation and Community: Don’t hesitate to check the Supabase documentation or community forums when in doubt. There might be updates or best practices that can help improve your debugging process.

Conclusion

Debugging is an essential skill in a developer's toolkit, and knowing how to log effectively in PLV8 can save considerable time and hassle when issues arise. By simply adjusting your logging level from INFO to LOG, you can gain better visibility into your PostgreSQL function's behavior in Supabase. Happy coding, and never underestimate the power of a well-placed log statement!

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