How to increase Log Limit of Docker? | [output clipped, log limit 100KiB/s reached]

  azure-devops, docker, github, python, python-poetry

My goal is to execute Docker, from GitHub, on an Azure DevOps pipeline.

Why does my code exit?


Theories:

I thought it exits because it fails to download torch-xla==1.8.

I now suspect this fails due to a log limit?:

#17 9.115 [output clipped, log limit 100KiB/s reached]

How do you increase a log limit?

Is this concerning Docker or Azure DevOps?


#17 [test 5/5] RUN cd ontology_tagger && poetry run invoke deploy
#17 sha256:3581942486c3acb9ab1c41574317a3ec25db6fbbb8fb47af887c47e5a6e1e607
#17 3.046 ============================= test session starts ==============================
#17 3.046 platform linux -- Python 3.7.12, pytest-3.10.1, py-1.10.0, pluggy-1.0.0
#17 3.046 rootdir: /home/worker/python/ontology_tagger, inifile: pytest.ini
#17 3.046 collecting ... importing Jupyter notebook from /home/worker/python/ontology_tagger/ontology_tagger/notebooks/ontology_tagger.ipynb
#17 5.762 Collecting torch-xla==1.8

#17 6.315   Downloading https://storage.googleapis.com/tpu-pytorch/wheels/torch_xla-1.8-cp37-cp37m-linux_x86_64.whl (144.6 MB)

#17 6.315 25l
     |                                | 10 kB 20.5 MB/s eta 0:00:08
...
     |███████████████████████▊        | 107.3 MB 41.9 MB/s eta 0:00:01
     |███���█
#17 9.115 [output clipped, log limit 100KiB/s reached]
#17 ERROR: executor failed running [/bin/sh -c cd ontology_tagger && poetry run invoke deploy]: exit code: 2
------
 > [test 5/5] RUN cd ontology_tagger && poetry run invoke deploy:
------
executor failed running [/bin/sh -c cd ontology_tagger && poetry run invoke deploy]: exit code: 2
##[error]Bash exited with code '1'.
Finishing: Test worker

Please let me know if there’s anything else I should add to post.

Source: Docker Questions

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