How to mount Cloud Filestore in GCP AI platform Jupyter notebook?

Question

I want to mount a Cloud Filestore instance in a GCP AI Platform Jupyter notebook instance so that I don't have to upload all of my data into the notebook.

I followed the instructions at https://cloud.google.com/filestore/docs/mounting-fileshares , but get these error messages:

root@0084329abd1b:/home# mount <IP_ADDRESS>:/streams cfs
mount.nfs: rpc.statd is not running but is required for remote locking.
mount.nfs: Either use '-o nolock' to keep locks local, or start statd.
root@0084329abd1b:/home# mount -o nolock <IP_ADDRESS>:/streams cfs
mount.nfs: Operation not permitted

Answer 1

From your terminal, you can do something like this.

mkdir des_bucket
gcsfuse --debug_gcs --implicit-dirs  src_bucket des_bucket

Answer 2

1. Create a Filestore instance link

2. Crerate a Google VM instance link

3. Create a Notebook AI instance link

4. On the VM instance run the commands:

    sudo apt-get -y update sudo apt-get -y install nfs-common sudo mkdir test # fileshare remote target sudo mount 111.11.111.11:/fileshare test sudo chmod go+rw test echo 'This is a test' > test/testfile ls test #testfile

5. On the Notebook AI instance run the commands link :

    sudo apt-get -y update sudo apt-get -y install nfs-common sudo mkdir test # fileshare remote target sudo mount 111.11.111.11:/fileshare /test ls test #testfile

You can also check link