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Agustín asked . 2022-11-14

Error when saving MLX file

I am using MATLAB R2022a in Ubuntu 20.04.5 LTS (Kernel 5.15), and whenever I try so save a .m script file I have no issues, however when I try to save a Live Editor file (.mlx), I get the next error:
 
Unable to save file myFile.mlx
 
java.lang.RuntimeException: Internal Exception in writing MLX file : Could not commit changes: copy failed:
fl:filesystem:SystemError: /tmp/.bdae-ce03-39f3-5965.tmp invalid cross-device link
I have tried with R2022b, but the problem persists. I have another Ubuntu station (Kernel 5.4) and it does write the file. I have read about similar errors depending on the Kernel version. Is there any solution that does not include downgrading the Kernel?

ubuntu , kernel , matlab , live editor , Environment and Settings

Expert Answer

Prashant Kumar answered . 2024-05-17 21:52:56

I understand that you are getting an error when saving 'MLX' files in MATLAB R2022a and R2022b.
 
This is a known issue with MATLAB R2022 releases. Currently, these are the following workarounds other than downgrading the Linux kernel:
 
1) Change the temp directory of MATLAB to a new folder
 
The default temp directory of MATLAB on Linux is '/tmp/', to resolve the issue, you can create a new folder in a different file directory and set it as the new temp directory.
 
Please refer to the following example to change the temp directory of MATLAB in the MATLAB Command Window:
 
 
>> clear all 
>> tempdir  % ans = '/tmp/' 
>> setenv('TMPDIR', 'FILE DIRECTORY FOR THE NEW FOLDER') 
>> clear all 
>> tempdir % ans = 'FILE DIRECTORY FOR THE NEW FOLDER'
You should be able to save all MLAPP files/ Simulink models/ Live Scripts as usual after changing to the new temp directory.
 
If the above workaround does not resolve the issue, try to
 
2) Use MATLAB Online:
 
MATLAB Online provides access to the latest version of MATLAB from a standard web browser using MathWorks-hosted computing resources and storage, which allows you to continue working with your previous files and related datasets.


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