@yuvipanda ... I haven't been able to switch to the new helm chart for deploying jupyterhub on kubernetes yet and still use this NCHP as part of the mix. Any suggestions on what I might have to tweak here in order to be able to save large files with jupyterlab running on jupyterhub on a kubernetes set-up? This is the first time I'm hitting this problem. Thanks.
Jupyterlab 0.24.1
Notebook 5.0.0
Running on jupyterhub 0.72 on a kubernetes cluster using this proxy solution.
Since nginx features in the dialogue box, I think this is problem stems from there rather than jupyterlab itself. See proxy logs:
I'm not sure if it's relevant or not, but I had set c.NotebookApp.iopub_data_rate_limit = 10000000 #see https://github.com/jupyter/notebook/issues/2287 in the relevant jupyter_notebook_config.py file, which should have given me ample head-room, if indeed that setting does what I think it does and it's getting picked up in a JupyterLab context.
@yuvipanda ... I haven't been able to switch to the new helm chart for deploying jupyterhub on kubernetes yet and still use this NCHP as part of the mix. Any suggestions on what I might have to tweak here in order to be able to save large files with jupyterlab running on jupyterhub on a kubernetes set-up? This is the first time I'm hitting this problem. Thanks.
Jupyterlab 0.24.1 Notebook 5.0.0 Running on jupyterhub 0.72 on a kubernetes cluster using this proxy solution.
Since nginx features in the dialogue box, I think this is problem stems from there rather than jupyterlab itself. See proxy logs:
I hadn't come across this limitation before. This is a 1.08MB notebook derived from here: https://github.com/choldgraf/reproducible_research_2017/blob/master/week_03/Statistical%20Data%20Visualization.ipynb ... which I was trying to save in Jupyterlab context.
I'm not sure if it's relevant or not, but I had set
c.NotebookApp.iopub_data_rate_limit = 10000000 #see https://github.com/jupyter/notebook/issues/2287
in the relevant jupyter_notebook_config.py file, which should have given me ample head-room, if indeed that setting does what I think it does and it's getting picked up in a JupyterLab context.