1. File Upload Limitations in Jupyter Environment with Python Code

File Upload Limitations in Jupyter Environment with Python Code

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  • #7772
    Hello all,
    I am working in the Jupyter environment with Python code and have encountered limitations when uploading files using the FileUpload widget and direct upload. Files larger than 8 MB cannot be uploaded through the widget, while smaller files upload successfully without any issues. When attempting to upload files directly to Jupyter that are 16 MB or larger, I receive a “Large file size warning” with the prompt: “The file size is 16 MB. Do you still want to upload it? [Cancel or Upload]” If I proceed, the file uploads but fails to open, displaying: Error: Failed to load PDF document.

    Could you confirm if there is an enforced upload limit in this environment, and if so, if there is a way to adjust it when working with Python code? Alternatively, if adjustments are not feasible, could you suggest another method for handling larger files within this environment?

    Thank you
    #7774
    Victoria Hemphill
    Participant

      Hi Ali, do you know if your Jupyter storage is almost full? You should be able to upload a 16MB file.

      #7778

      Hi Victoria,

      My Jupyter storage isn’t full; I still have 80 GB available.

      I can’t upload files larger than 8 MB. When I try to upload directly to Jupyter, I see this message: Do you still want to upload it? [Cancel or Upload].

      Thank you

      Ali

      #7793
      Komal Thareja
      Moderator

        Hi Ali,

        We only provide 1G storage to users on Jupyter Containers in the /home/fabric/work directory. Could you please clarify or add screenshot of the df -h from the terminal in your container and also share how you are trying to upload the files?

        I tried and uploaded 800 MB file to my container using the Jupyter Hub upload interface without issues.

        Thanks,
        Komal

        #7804

        Hi Komal,

        I am using two methods to upload files to Jupyter. First, I use a Python script designed for uploading files to the system. Alternatively, I also use the direct upload feature in Jupyter by clicking the upload button, as shown in the attached image.

        Filesystem Size Used Avail Use% Mounted on
        /dev/sdi 974M 319M 639M 34% /home/fabric/work

        It was 73%, then I removed a lot of files, but the same problem persists.

         

        uploaded_file_info = upload_widget.value[0]

        When selecting a file larger than 8 MB, I notice that the status changes from “Idle” to “Busy” and then back to “Idle.” When I attempt to upload the file again, I see the message “Please upload a file,” even though I have already selected the file. Additionally, if a file smaller than 8 MB has been uploaded before attempting to upload the larger file, the previously uploaded smaller file is re-uploaded instead.

         

        Thank you

        Ali

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