CSI for S3
This is a Container Storage Interface (CSI) for S3 (or S3 compatible) storage. This can dynamically allocate buckets and mount them via a fuse mount into any container.
Kubernetes installation
Requirements
- Kubernetes 1.13+ (CSI v1.0.0 compatibility)
- Kubernetes has to allow privileged containers
- Docker daemon must allow shared mounts (systemd flag
MountFlags=shared
)
1. Create a secret with your S3 credentials
apiVersion: v1
kind: Secret
metadata:
name: csi-s3-secret
# Namespace depends on the configuration in the storageclass.yaml
namespace: kube-system
stringData:
accessKeyID: <YOUR_ACCESS_KEY_ID>
secretAccessKey: <YOUR_SECRET_ACCESS_KEY>
# For AWS set it to "https://s3.<region>.amazonaws.com", for example https://s3.eu-central-1.amazonaws.com
endpoint: https://storage.yandexcloud.net
# For AWS set it to AWS region
#region: ""
The region can be empty if you are using some other S3 compatible storage.
2. Deploy the driver
cd deploy/kubernetes
kubectl create -f provisioner.yaml
kubectl create -f attacher.yaml
kubectl create -f csi-s3.yaml
3. Create the storage class
kubectl create -f examples/storageclass.yaml
4. Test the S3 driver
-
Create a pvc using the new storage class:
kubectl create -f examples/pvc.yaml
-
Check if the PVC has been bound:
$ kubectl get pvc csi-s3-pvc NAME STATUS VOLUME CAPACITY ACCESS MODES STORAGECLASS AGE csi-s3-pvc Bound pvc-c5d4634f-8507-11e8-9f33-0e243832354b 5Gi RWO csi-s3 9s
-
Create a test pod which mounts your volume:
kubectl create -f examples/pod.yaml
If the pod can start, everything should be working.
-
Test the mount
$ kubectl exec -ti csi-s3-test-nginx bash $ mount | grep fuse s3fs on /var/lib/www/html type fuse.s3fs (rw,nosuid,nodev,relatime,user_id=0,group_id=0,allow_other) $ touch /var/lib/www/html/hello_world
If something does not work as expected, check the troubleshooting section below.
Additional configuration
Bucket
By default, csi-s3 will create a new bucket per volume. The bucket name will match that of the volume ID. If you want your volumes to live in a precreated bucket, you can simply specify the bucket in the storage class parameters:
kind: StorageClass
apiVersion: storage.k8s.io/v1
metadata:
name: csi-s3-existing-bucket
provisioner: ru.yandex.s3.csi
parameters:
mounter: geesefs
bucket: some-existing-bucket-name
If the bucket is specified, it will still be created if it does not exist on the backend. Every volume will get its own prefix within the bucket which matches the volume ID. When deleting a volume, also just the prefix will be deleted.
Mounter
As S3 is not a real file system there are some limitations to consider here. Depending on what mounter you are using, you will have different levels of POSIX compability. Also depending on what S3 storage backend you are using there are not always consistency guarantees.
The driver can be configured to use one of these mounters to mount buckets:
The mounter can be set as a parameter in the storage class. You can also create multiple storage classes for each mounter if you like.
Characteristics of different mounters (for more detailed information consult their own documentation):
GeeseFS
- Almost full POSIX compatibility
- Good performance for both small and big files
- Files can be viewed normally with any S3 client
s3fs
- Almost full POSIX compatibility
- Good performance for big files, poor performance for small files
- Files can be viewed normally with any S3 client
rclone
- Less POSIX compatible than s3fs
- Bad performance for big files, okayish performance for small files
- Files can be viewed normally with any S3 client
- Doesn't create directory objects like s3fs or GeeseFS
Troubleshooting
Issues while creating PVC
Check the logs of the provisioner:
kubectl logs -l app=csi-provisioner-s3 -c csi-s3
Issues creating containers
- Ensure feature gate
MountPropagation
is not set tofalse
- Check the logs of the s3-driver:
kubectl logs -l app=csi-s3 -c csi-s3
Development
This project can be built like any other go application.
go get -u github.com/yandex-cloud/k8s-csi-s3
Build executable
make build
Tests
Currently the driver is tested by the CSI Sanity Tester. As end-to-end tests require S3 storage and a mounter like s3fs, this is best done in a docker container. A Dockerfile and the test script are in the test
directory. The easiest way to run the tests is to just use the make command:
make test