Uploading a Local File Larger Than 5 GB to JupyterLab

A file exceeding 5 GB cannot be directly uploaded to JupyterLab.

To upload files exceeding 5 GB, upload them to OBS. Then, call the ModelArts MoXing or SDK API in the target notebook instance to read and write the files in OBS.

Figure 1 Uploading and downloading large files in a notebook instance

The procedure is as follows:

1. Upload the file from a local path to OBS. For details, see Uploading an Object.
2. Download the file from OBS to the notebook instance by calling the ModelArts SDK or MoXing API.
   • Method 1: Call the ModelArts SDK to download a file from OBS.

     Example code:

     1 2 3

     from modelarts.session import Session session = Session() session.obs.copy("obs://bucket-name/obs_file.txt","/home/ma-user/work/")

   • Method 2: Call the ModelArts MoXing API for reading an OBS file.

     import moxing as mox
     
     # Download the OBS folder sub_dir_0 from OBS to a notebook instance.
     mox.file.copy_parallel('obs://bucket_name/sub_dir_0', '/home/ma-user/work/sub_dir_0')
     # Download the OBS file obs_file.txt from OBS to a notebook instance.
     mox.file.copy('obs://bucket_name/obs_file.txt', '/home/ma-user/work/obs_file.txt')

     If a .zip file is downloaded, run the following command on the terminal to decompress the package:

     unzip xxx.zip  # Directly decompress the package in the path where the package is stored.

     After the code is executed, open the terminal shown in Figure 2 and run the ls /home/ma-user/work command to view the file downloaded to the notebook instance. Alternatively, view the downloaded file in the left navigation pane of Jupyter. If the file is not displayed, refresh the page.

     Figure 2 Opening the terminal
     
     Figure 3 File downloaded to a notebook instance