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Скачать или смотреть Resolving the ffmpeg was killed with signal SIGSEGV Error in Docker Containers

  • vlogize
  • 2025-04-05
  • 49
Resolving the ffmpeg was killed with signal SIGSEGV Error in Docker Containers
How to resolve ffmpeg was killed with signal SIGSEGV in docker containerdockerffmpegsegmentation fault
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Описание к видео Resolving the ffmpeg was killed with signal SIGSEGV Error in Docker Containers

Discover effective solutions to the common `ffmpeg was killed with signal SIGSEGV` error when running ffmpeg in Docker, and learn best practices for using ffmpeg in your Node.js applications.
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This video is based on the question https://stackoverflow.com/q/77199799/ asked by the user 'Gmanicus' ( https://stackoverflow.com/u/10949443/ ) and on the answer https://stackoverflow.com/a/77205603/ provided by the user 'Gmanicus' ( https://stackoverflow.com/u/10949443/ ) 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 Resolve ffmpeg was killed with signal SIGSEGV in Docker Containers

When deploying applications using Docker, there are several common issues developers face. One particularly frustrating problem arises when working with ffmpeg in a Docker container, where you might encounter the error message: ffmpeg was killed with signal SIGSEGV. This can happen in various contexts, but in this guide, we'll explore a specific scenario involving Node.js applications using the fluent-ffmpeg library alongside @ ffmpeg-installer/ffmpeg.

Understanding the Problem

In the example case, a Node.js application is deployed within a Docker container, utilizing fluent-ffmpeg for video processing. The setup is comprehensive:

Node.js Application: Powers the backend for handling media files.

ffmpeg Installation: Managed through @ ffmpeg-installer/ffmpeg and @ ffprobe-installer/ffprobe.

Upon attempting to execute ffmpeg commands to capture video snapshots, the application abruptly fails with a segmentation fault (SIGSEGV).

Example Error Message:

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

The developer attempted to address the situation by increasing the memory and CPU limits in the Docker Compose file, yet the issue persisted. Moreover, tests conducted in a newly created Docker container also resulted in the same problem.

The Solution

After thorough investigation, it appears that the issue stems from using the binary provided by @ ffmpeg-installer/ffmpeg within the Docker environment. To resolve this, a more reliable approach is to install ffmpeg via the system package manager directly in the Docker image.

Step-by-Step Instructions:

Modify Dockerfile:

Edit your Dockerfile to include the installation of ffmpeg from the APT package manager. Here's how you can do it:

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

Update ffmpeg Path:

You have two options for the fluent-ffmpeg library to recognize the installed ffmpeg:

Automatically detect it without any changes, as it will be added to the system PATH during installation.

Manually set the path in your initialization script (if necessary):

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

Rebuild the Docker Container:

After altering the Dockerfile, ensure to rebuild your Docker container to apply these changes:

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

Run Your Application:

Now, run your application again using docker-compose up, and you should be able to execute the ffmpeg commands without any errors.

Conclusion

The issue of encountering ffmpeg was killed with signal SIGSEGV in Docker containers can be resolved by switching from the pre-packaged binaries provided by @ ffmpeg-installer/ffmpeg to a system installation using APT. This method guarantees that ffmpeg is correctly integrated within your Docker environment, preventing segmentation faults.

Should you face similar issues, consider revisiting your Dockerfile and ensuring a reliable installation of required binaries. Happy coding!

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