如何在GCP AI平台Jupyter笔记本中挂载Cloud Filestore?
How to mount Cloud Filestore in GCP AI platform Jupyter notebook?
我想在 GCP AI Platform Jupyter notebook 实例中装载 Cloud Filestore 实例,这样我就不必将所有数据上传到 notebook 中。
我按照 https://cloud.google.com/filestore/docs/mounting-fileshares 中的说明进行操作,但收到以下错误消息:
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
创建一个 Filestore 实例 link
创建一个 Google 虚拟机实例 link
创建笔记本AI实例link
在 VM 实例上 运行 命令:
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
在 Notebook AI 实例上 运行 命令 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
您还可以查看 link
在您的终端上,您可以执行类似的操作。
mkdir des_bucket
gcsfuse --debug_gcs --implicit-dirs src_bucket des_bucket
我想在 GCP AI Platform Jupyter notebook 实例中装载 Cloud Filestore 实例,这样我就不必将所有数据上传到 notebook 中。
我按照 https://cloud.google.com/filestore/docs/mounting-fileshares 中的说明进行操作,但收到以下错误消息:
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
创建一个 Filestore 实例 link
创建一个 Google 虚拟机实例 link
创建笔记本AI实例link
在 VM 实例上 运行 命令:
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
在 Notebook AI 实例上 运行 命令 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
您还可以查看 link
在您的终端上,您可以执行类似的操作。
mkdir des_bucket
gcsfuse --debug_gcs --implicit-dirs src_bucket des_bucket