Скачать или смотреть How to Rotate Log Files with pino-multi-stream in Node.js

Discover how to effectively `rotate log files` generated by the pino-multi-stream package in your Node.js project using file-stream-rotator.
---
This video is based on the question https://stackoverflow.com/q/63862447/ asked by the user 'Masoud Sadeghi' ( https://stackoverflow.com/u/5703304/ ) and on the answer https://stackoverflow.com/a/63973059/ provided by the user 'sergiz' ( https://stackoverflow.com/u/11721414/ ) 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: How to rotate log files that generate with pino-multi-stream?

Also, Content (except music) licensed under CC BY-SA https://meta.stackexchange.com/help/l...
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.

If anything seems off to you, please feel free to write me at vlogize [AT] gmail [DOT] com.
---
How to Rotate Log Files with pino-multi-stream in Node.js

Maintaining clean and manageable log files is essential for any Node.js application. If you're using the pino-multi-stream package to manage logging in your project, you may find yourself in need of a log rotation solution. Log rotation ensures that your log files do not grow indefinitely, which can lead to storage issues and make it difficult to track logs. In this guide, we'll explore how to implement daily log rotation for your pino-multi-stream log files using the file-stream-rotator package.

Understanding the Problem

Using pino-multi-stream allows developers to log messages with different severity levels (such as info, debug, warn, error, and fatal) into separate log files. However, as your application runs, these log files can accumulate large amounts of data over time. This is where log rotation becomes necessary.

The Need for Log Rotation

Prevents Excessive Disk Usage: Log files that grow too large can consume considerable disk space.

Improves Log Management: Smaller log files are easier to search and analyze.

Enhances Performance: Smaller files enable faster read/write operations for logging processes.

With that in mind, let’s look at how we can implement log rotation effectively.

How to Set Up Log Rotation with pino-multi-stream

To implement log rotation when using pino-multi-stream, we will utilize the file-stream-rotator package. Here’s a step-by-step guide to achieve this.

Step 1: Install the Required Package

Start by adding file-stream-rotator to your project. You can install it via npm using the following command:

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

Step 2: Update Your Logger Configuration

You'll want to modify the way streams are created for your logger in order to utilize the rotation capabilities provided by file-stream-rotator. Here's a sample code modification based on your initial setup:

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

Explanation of the Changes

File Stream Rotator Setup: Each stream now utilizes file-stream-rotator to create a stream that manages log file rotation based on the specified frequency (in this case, daily).

Flexibility: You can adjust the frequency parameter to define how often the log files are rotated (e.g., hourly, daily, weekly) as per your project requirements.

Using the Logger

After setting up the logger with log rotation, you can use it in your application as before:

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

Conclusion

Implementing log rotation in your Node.js application using pino-multi-stream and file-stream-rotator is straightforward and significantly improves the management of your log files. By following the steps outlined above, you can ensure your logs are kept at a manageable size, making them easier to handle and analyze.

By maintaining a clean logging strategy, you enable better monitoring and debugging of your application, leading to improved performance and reliability. Happy coding!