Manjaro / Plasma - CPU cores overload and get stuck at 100% one by one when cloning a big git repo

3 min read 28-10-2024
Manjaro / Plasma - CPU cores overload and get stuck at 100% one by one when cloning a big git repo

Cloning large Git repositories on Manjaro Linux, especially when using the Plasma desktop environment, can sometimes lead to CPU core overload. Users may notice that their CPU cores get stuck at 100% usage, one by one, making the system sluggish and unresponsive. This article delves into the problem, provides a clearer understanding, and offers solutions to mitigate this issue.

Understanding the Problem

When attempting to clone a substantial Git repository, users may encounter significant CPU usage spikes that can lead to cores getting overloaded. The symptoms often include the system becoming unresponsive or laggy as one core after another reaches peak usage. This issue can be frustrating, especially when performing essential development tasks.

Original Code for the Problem

The typical command used for cloning a Git repository looks like this:

git clone https://github.com/example/large-repo.git

As the cloning process proceeds, it may cause the CPU to max out at 100% on multiple cores, leading to a bottleneck and overall system slowdowns.

Why Does This Happen?

When cloning a large repository, Git performs multiple operations simultaneously, including downloading, unpacking, and indexing files. This parallel processing can overwhelm the CPU, especially if the system has limited resources or if there are background processes consuming CPU power.

Factors Contributing to CPU Overload

  1. Large Files: Repositories with large files (e.g., media files, binaries) can significantly increase the load on the CPU.

  2. High Number of Files: Repositories with many small files also add to the overhead, as each file must be processed individually.

  3. System Resource Limitations: If your system is low on RAM or has an older CPU, the impact of cloning a big repository can be more pronounced.

  4. Background Processes: Other running applications can compete for CPU resources, exacerbating the issue.

Solutions and Workarounds

To mitigate CPU core overload when cloning large Git repositories on Manjaro with Plasma, consider the following strategies:

1. Increase Git's Buffer Size

You can increase Git's buffer size to handle larger data transfers more efficiently. Use the following command:

git config --global http.postBuffer 524288000

This sets the buffer size to 500MB, which can help prevent overload during cloning.

2. Clone with Reduced Depth

If you do not need the entire history of a repository, use the --depth option to create a shallow clone, which clones only the latest version of files:

git clone --depth 1 https://github.com/example/large-repo.git

3. Limit CPU Usage with Nice and Ionice

To ensure that the cloning process does not monopolize CPU resources, you can run the clone command with nice to lower its priority:

nice -n 19 git clone https://github.com/example/large-repo.git

Alternatively, you can also limit the I/O priority with ionice:

ionice -c2 -n7 git clone https://github.com/example/large-repo.git

4. Check Background Processes

Before cloning, use system monitoring tools such as htop or System Monitor to check for background processes that may be consuming CPU resources. Consider closing unnecessary applications or processes to free up resources.

5. Upgrade System Resources

If the problem persists, consider upgrading your system hardware, such as adding more RAM or upgrading the CPU, especially if you frequently work with large repositories.

Conclusion

Cloning large Git repositories on Manjaro with Plasma can lead to CPU core overload and high usage spikes. However, by understanding the problem and implementing the strategies outlined above, you can enhance your system's performance and responsiveness. Experiment with the suggested commands and options to find the best combination that works for your specific use case.

Additional Resources

By taking proactive measures, users can continue their development work efficiently without facing disruptions caused by CPU overloads.