# Exascaler-csi-file-driver Releases can be found here - https://github.com/DDNStorage/exa-csi-driver/releases ## Compatibility matrix |CSI driver version|EXAScaler client version|EXA Scaler server version| |--- |---|---| |>=v2.3.0|>=2.14.0-ddn182|>=6.3.2| ## Feature List |Feature|Feature Status|CSI Driver Version|CSI Spec Version|Kubernetes Version|Openshift Version| |--- |--- |--- |--- |--- |--- | |Static Provisioning|GA|>= 1.0.0|>= 1.0.0|>=1.18|>=4.13| |Dynamic Provisioning|GA|>= 1.0.0|>= 1.0.0|>=1.18|>=4.13| |RW mode|GA|>= 1.0.0|>= 1.0.0|>=1.18|>=4.13| |RO mode|GA|>= 1.0.0|>= 1.0.0|>=1.18|>=4.13| |Expand volume|GA|>= 1.0.0|>= 1.1.0|>=1.18|>=4.13| |StorageClass Secrets|GA|>= 1.0.0|>=1.0.0|>=1.18|>=4.13| |Mount options|GA|>= 1.0.0|>= 1.0.0|>=1.18|>=4.13| |Topology|GA|>= 2.0.0|>= 1.0.0|>=1.17|>=4.13| |Snapshots|GA|>= 2.2.6|>= 1.0.0|>=1.17|>=4.13| |Exascaler Hot Nodes|GA|>= 2.3.0|>= 1.0.0|>=1.18| Not supported yet| ## Access Modes support |Access mode| Supported in version| |--- |--- | |ReadWriteOnce| >=1.0.0 | |ReadOnlyMany| >=2.2.3 | |ReadWriteMany| >=1.0.0 | |ReadWriteOncePod| >=2.2.3 | ## OpenShift Certification |OpenShift Version| CSI driver Version| EXA Version| |---|---|---| |v4.13|>=v2.2.3|>=v6.3.0| |v4.14|>=v2.2.4|>=v6.3.0| |v4.15|>=v2.2.4|>=v6.3.0| ## OpenShift ### Prerequisites Internal OpenShift image registry needs to be patched to allow building lustre modules with KMM. ```bash oc patch configs.imageregistry.operator.openshift.io cluster --type merge --patch '{"spec":{"managementState":"Managed"}}' oc patch configs.imageregistry.operator.openshift.io cluster --type merge --patch '{"spec":{"storage":{"emptyDir":{}}}}' oc patch configs.imageregistry.operator.openshift.io/cluster --type merge -p '{"spec":{"defaultRoute":true}}' ``` ### Building lustre rpms You will need a vm with the kernel version matching that of the OpenShift nodes. To check on nodes: ```bash oc get nodes oc debug node/c1-pk6k4-worker-0-2j6w8 uname -r ``` On the builder vm, install the matching kernel and log in to it, example for Rhel 9.2: ```bash # login to subscription-manager subscription-manager register --username --password --auto-attach # list available kernels yum --showduplicates list available kernel yum install kernel--. # e.g.: yum install kernel-5.14.0-284.25.1.el9_2.x86_64 grubby --info=ALL | grep title title="Red Hat Enterprise Linux (5.14.0-284.11.1.el9_2.x86_64) 9.2 (Plow)" <---- 0 title="Red Hat Enterprise Linux (5.14.0-284.25.1.el9_2.x86_64) 9.2 (Plow)" <---- 1 grub2-set-default 1 reboot ``` Copy EXAScaler client tar from the EXAScaler server: ```bash scp root@:/scratch/EXAScaler-/exa-client-.tar.gz . tar -xvf exa-client-.tar.gz cd exa-client ./exa_client_deploy.py -i ``` This will build the rpms and install the client. Upload the rpms to any repository available from the cluster and change deploy/openshift/lustre-module/lustre-dockerfile-configmap.yaml lines 12-13 accordingly. Make sure that `kmod-lustre-client-*.rpm`, `lustre-client-*.rpm` and `lustre-client-devel-*.rpm` packages are present. ``` RUN git clone https://github.com/Qeas/rpms.git # change this to your repo with matching rpms RUN yum -y install rpms/*.rpm ``` ### Loading lustre modules in OpenShift Before loading the lustre modules, make sure to install OpenShift Kernel Module Management (KMM) via OpenShift console. ```bash oc create -n openshift-kmm -f deploy/openshift/lustre-module/lustre-dockerfile-configmap.yaml oc apply -n openshift-kmm -f deploy/openshift/lustre-module/lnet-mod.yaml ``` Wait for the builder pod (e.g. `lnet-build-5f265-build`) to finish. After builder finishes, you should have `lnet-8b72w-6fjwh` running on each worker node. ```bash # run ko2iblnd-mod if you are using Infiniband network oc apply -n openshift-kmm -f deploy/openshift/lustre-module/ko2iblnd-mod.yaml ``` Make changes to `deploy/openshift/lustre-module/lnet-configuration-ds.yaml` line 38 according to the cluster's network ``` lnetctl net add --net tcp --if br-ex # change interface according to your cluster ``` Configure lnet and install lustre ``` oc apply -n openshift-kmm -f deploy/openshift/lustre-module/lnet-configuration-ds.yaml oc apply -n openshift-kmm -f deploy/openshift/lustre-module/lustre-mod.yaml ``` ### Installing the driver Make sure that `openshift: true` in `deploy/openshift/exascaler-csi-file-driver-config.yaml`. Create a secret from the config file and apply the driver yaml. ```bash oc create -n openshift-kmm secret generic exascaler-csi-file-driver-config --from-file=deploy/openshift/exascaler-csi-file-driver-config.yaml oc apply -n openshift-kmm -f deploy/openshift/exascaler-csi-file-driver.yaml ``` ### Uninstall ```bash oc delete -n openshift-kmm secret exascaler-csi-file-driver-config oc delete -n openshift-kmm -f deploy/openshift/exascaler-csi-file-driver.yaml oc delete -n openshift-kmm -f deploy/openshift/lustre-module/lustre-mod.yaml oc delete -n openshift-kmm -f deploy/openshift/lustre-module/lnet-configuration-ds.yaml oc delete -n openshift-kmm -f deploy/openshift/lustre-module/ko2iblnd-mod.yaml oc delete -n openshift-kmm -f deploy/openshift/lustre-module/lnet-mod.yaml oc delete -n openshift-kmm -f deploy/openshift/lustre-module/lustre-dockerfile-configmap.yaml oc get images | grep lustre-client-moduleloader | awk '{print $1}' | xargs oc delete image ``` ### Snapshots To use CSI snapshots, the snapshot CRDs along with the csi-snapshotter must be installed. ```bash oc apply -f deploy/openshift/snapshots/ ``` After that the snapshot class for EXA CSI must be created Snapshot parameters can be passed through snapshot class as can be seen is `examples/snapshot-class.yaml` List of available snapshot parameters: | Name | Description | Example | |----------------|-------------------------------------------------------------------|--------------------------------------| | `snapshotFolder` | [Optional] Folder on ExaScaler filesystem where the snapshots will be created. | `csi-snapshots` | | `snapshotUtility` | [Optional] Either `tar` or `dtar`. Default is `tar`| `dtar` | | `snapshotMd5Verify` | [Optional] Defines whether the driver should do md5sum check on the snapshot. Ensures that the snapshot is not corrupt but reduces performance. Default is `false` | `true` | | `exaFS` | Same parameter as in storage class. If the original volume was created using storage class parameter for `exaFS` this MUST match the value of storage class. | `10.3.3.200@tcp:/csi-fs` | | `mountPoint` | Same parameter as in storage class. If the original volume was created using storage class parameter for `mountPoint` this MUST match the value of storage class. | `/exa-csi-mnt` | ```bash oc apply -f examples/snapshot-class.yaml ``` Now a snapshot can be created, for example ```bash oc apply -f examples/snapshot-from-dynamic.yaml ``` We can create a volume using the snapshot ```bash oc apply -f examples/nginx-from-snapshot.yaml ``` Exascaler CSI driver supports 2 snapshot modes: `tar` or `dtar`. Default mode is `tar`. Dtar is much faster. To enable `dtar` set `snapshotUtility: dtar` in config. ## Kubernetes ### Requirements - Required API server and kubelet feature gates for k8s version < 1.16 (skip this step for k8s >= 1.16) ([instructions](https://github.com/kubernetes-csi/docs/blob/735f1ef4adfcb157afce47c64d750b71012c8151/book/src/Setup.md#enabling-features)): ``` --feature-gates=ExpandInUsePersistentVolumes=true,ExpandCSIVolumes=true,ExpandPersistentVolumes=true ``` - Mount propagation must be enabled, the Docker daemon for the cluster must allow shared mounts ([instructions](https://kubernetes.io/docs/concepts/storage/volumes/#mount-propagation)) - MpiFileUtils dtar must be installed on all kubernetes nodes in order to use `dtar` as snapshot utility. Not required if `tar` is used for snapshots (default). ### Prerequisites EXAScaler client must be installed and configured on all kubernetes nodes. Please refer to EXAScaler Installation and Administration Guide. ### Installation Clone or untar driver (depending on where you get the driver) ```bash git clone -b https://github.com/DDNStorage/exa-csi-driver.git /opt/exascaler-csi-file-driver ``` e.g:- ```bash git clone -b 2.2.4 https://github.com/DDNStorage/exa-csi-driver.git /opt/exascaler-csi-file-driver ``` or ```bash rpm -Uvh exa-csi-driver-1.0-1.el7.x86_64.rpm ``` ### Using helm chart Pull latest helm chart configuration before installing or upgrading. #### Install - Make changes to `deploy/helm-chart/values.yaml` according to your Kubernetes and EXAScaler clusters environment. - If metrics exporter is required, make changes to `deploy/helm-chart/values.yaml` according to your environment. refer to [metrics exporter configuration](#metrics-exporter-configuration) - Run `helm install -n ${namespace} exascaler-csi-file-driver deploy/helm-chart/` #### Uninstall `helm uninstall -n ${namespace} exascaler-csi-file-driver` #### Upgrade - Make any necessary changes to the chart, for example new driver version: `tag: "v2.3.4"` in `deploy/helm-chart/values.yaml`. - If metrics exporter is required, make changes to `deploy/helm-chart/values.yaml` according to your environment. refer to [metrics exporter configuration](#metrics-exporter-configuration) - Run `helm upgrade -n ${namespace} exascaler-csi-file-driver deploy/helm-chart/` ### Metrics exporter configuration. List of exported metrics: - exa_csi_pvc_capacity_bytes - Total capacity in bytes of PVs with provisioner exa.csi.ddn.com - exa_csi_pvc_used_bytes - Used bytes of PVs with provisioner exa.csi.ddn.com - exa_csi_pvc_available_bytes - Available bytes of PVs with provisioner exa.csi.ddn.com - exa_csi_pvc_pod_count - Number of pods using a PVC with provisioner exa.csi.ddn.com Each of those metrics reports with 3 labels: "pvc", "storage_class", "exported_namespace". These labels can be used to group the metrics by kubernetes storage class and namespace as shown below in [Add Prometheus Rules for StorageClass and Namespace Aggregation](#add-prometheus-rules-for-storageclass-and-namespace-aggregation) ```yaml metrics: enabled: true # Enable metrics exporter exporter: repository: quay.io/ddn/exa-csi-metrics-exporter tag: master # use latest version same as driver version e.g - tag: "2.3.4" pullPolicy: Always containerPort: "9200" # Metrics Exporter port servicePort: "9200" # This port will be used to create service for exporter namespace: default # Namespace where metrics exporter will be deployed logLevel: info # Log level. Debug is not recommended for production, default is info. collectTimeout: 10 # Metrics refresh timeout in seconds. Default is 10. serviceMonitor: enabled: false # set to true if using prometheus operator interval: 30s namespace: monitoring # Namespace where prometheus operator is deployed prometheus: releaseLabel: prometheus # release label for prometheus operator createClusterRole: false # set to false if using existing ClusterRole createClustrerRoleName: exa-prometheus-cluster-role # Name of ClusterRole to create, this name will be used to bind cluster role to prometheus service account clusterRoleName: cluster-admin # Name of ClusterRole to bind to prometheus service account if createClusterRole is set to false otherwise `createClustrerRoleName` will be used serviceAccountName: prometheus-kube-prometheus-prometheus # Service account name of prometheus ``` ## Prometheus Server Integration This section describes how to: - Add the EXAScaler CSI metrics exporter to Prometheus' scrape configuration. - Apply PrometheusRule definitions for metrics aggregation by StorageClass and Namespace. ### 1. Add EXAScaler CSI Metrics Exporter to Prometheus #### Step 1.1 – Create a Secret with Scrape Config Get the hostPort number of the EXAScaler CSI metrics exporter: ```bash kubectl get daemonset exa-csi-metrics-exporter -o jsonpath='{.spec.template.spec.containers[*].ports[*].hostPort}{"\n"}' 32666 ``` Create a Kubernetes secret that holds your additional Prometheus scrape configuration: ```bash PORT=32666 cat < additional-scrape-configs.yaml - job_name: 'exa-csi-metrics-exporter-remote' static_configs: - targets: - 10.20.30.1:$PORT - 10.20.30.2:$PORT - 10.20.30.3:$PORT EOF kubectl create secret generic additional-scrape-configs \ --from-file=additional-scrape-configs.yaml -n monitoring ``` Note: Replace the targets value with the actual IP and port of your EXAScaler CSI metrics exporter. #### Step 1.2 – Patch the Prometheus Custom Resource Edit the Prometheus CR (custom resource) and add the additionalScrapeConfigs reference: ```bash kubectl edit prometheus prometheus-kube-prometheus-prometheus -n monitoring ``` Add the following under spec: ```yaml additionalScrapeConfigs: name: additional-scrape-configs key: additional-scrape-configs.yaml ``` #### Step 1.3 – Restart Prometheus After editing the CR, restart Prometheus so it reloads the configuration: ```bash kubectl delete pod -l app.kubernetes.io/name=prometheus -n monitoring ``` ### 2. Add Prometheus Rules for StorageClass and Namespace Aggregation Apply a PrometheusRule resource to aggregate PVC metrics by StorageClass and Namespace: ```yaml apiVersion: monitoring.coreos.com/v1 kind: PrometheusRule metadata: name: exa-csi-rules namespace: monitoring labels: release: prometheus spec: groups: - name: exa-storageclass-rules interval: 15s rules: - record: exa_csi_sc_capacity_bytes expr: sum(exa_csi_pvc_capacity_bytes) by (storage_class) - record: exa_csi_sc_used_bytes expr: sum(exa_csi_pvc_used_bytes) by (storage_class) - record: exa_csi_sc_available_bytes expr: sum(exa_csi_pvc_available_bytes) by (storage_class) - record: exa_csi_sc_pvc_count expr: count(exa_csi_pvc_capacity_bytes) by (storage_class) - name: exa-namespace-rules interval: 15s rules: - record: exa_csi_namespace_capacity_bytes expr: sum(exa_csi_pvc_capacity_bytes) by (exported_namespace) - record: exa_csi_namespace_used_bytes expr: sum(exa_csi_pvc_used_bytes) by (exported_namespace) - record: exa_csi_namespace_available_bytes expr: sum(exa_csi_pvc_available_bytes) by (exported_namespace) - record: exa_csi_namespace_pvc_count expr: count(exa_csi_pvc_capacity_bytes) by (exported_namespace) ``` Apply the rule: ```bash kubectl apply -f exa-csi-rules.yaml ``` Ensure that Prometheus is watching the monitoring namespace for PrometheusRule CRDs. ### Using docker load and kubectl commands ```bash docker load -i /opt/exascaler-csi-file-driver/bin/exascaler-csi-file-driver.tar ``` #### Verify version kubectl get deploy/exascaler-csi-controller -o jsonpath="{..image}" 2. Copy /opt/exascaler-csi-file-driver/deploy/kubernetes/exascaler-csi-file-driver-config.yaml to /etc/exascaler-csi-file-driver-v1.0/exascaler-csi-file-driver-config.yaml ``` cp /opt/exascaler-csi-file-driver/deploy/kubernetes/exascaler-csi-file-driver-config.yaml /etc/exascaler-csi-file-driver-v1.0/exascaler-csi-file-driver-config.yaml ``` Edit `/etc/exascaler-csi-file-driver-v1.0/exascaler-csi-file-driver-config.yaml` file. Driver configuration example: ```yaml exascaler_map: exa1: mountPoint: /exaFS # mountpoint on the host where the exaFS will be mounted exaFS: 192.168.88.114@tcp2:192.168.98.114@tcp2:/testfs # default path to exa filesystem where the PVCs will be stored managementIp: 10.204.86.114@tcp # network for management operations, such as create/delete volume zone: zone-1 exa2: mountPoint: /exaFS-zone-2 # mountpoint on the host where the exaFS will be mounted exaFS: 192.168.78.112@tcp2:/testfs/zone-2 # default path to exa filesystem where the PVCs will be stored managementIp: 10.204.86.114@tcp # network for management operations, such as create/delete volume zone: zone-2 exa3: mountPoint: /exaFS-zone-3 # mountpoint on the host where the exaFS will be mounted exaFS: 192.168.98.113@tcp2:192.168.88.113@tcp2:/testfs/zone-3 # default path to exa filesystem where the PVCs will be stored managementIp: 10.204.86.114@tcp # network for management operations, such as create/delete volume zone: zone-3 debug: true ``` 3. Create Kubernetes secret from the file: ```bash kubectl create secret generic exascaler-csi-file-driver-config --from-file=/etc/exascaler-csi-file-driver-v1.0/exascaler-csi-file-driver-config.yaml ``` 4. Register driver to Kubernetes: ```bash kubectl apply -f /opt/exascaler-csi-file-driver/deploy/kubernetes/exascaler-csi-file-driver.yaml ``` ## Usage ### Dynamically provisioned volumes For dynamic volume provisioning, the administrator needs to set up a _StorageClass_ in the PV yaml (/opt/exascaler-csi-file-driver/examples/exa-dynamic-nginx.yaml for this example) pointing to the driver. For dynamically provisioned volumes, Kubernetes generates volume name automatically (for example `pvc-ns-cfc67950-fe3c-11e8-a3ca-005056b857f8-projectId-1001`). Basic storage class example, uses config to access Exascaler ```yaml apiVersion: storage.k8s.io/v1 kind: StorageClass metadata: name: exascaler-csi-file-driver-sc-nginx-dynamic provisioner: exa.csi.ddn.com configName: exa1 ``` The following example shows how to use storage class to override config values ```yaml apiVersion: storage.k8s.io/v1 kind: StorageClass metadata: name: exascaler-csi-file-driver-sc-nginx-dynamic provisioner: exa.csi.ddn.com allowedTopologies: - matchLabelExpressions: - key: topology.exa.csi.ddn.com/zone values: - zone-1 mountOptions: # list of options for `mount -o ...` command # - noatime # parameters: exaMountUid: "1001" # Uid which will be used to access the volume in pod. Should be synced between EXA server and clients. exaMountGid: "1002" # Gid which will be used to access the volume in pod. Should be synced between EXA server and clients. bindMount: "true" # Determines, whether volume will bind mounted or as a separate lustre mount. exaFS: "10.204.86.114@tcp:/testfs" # Overrides exaFS value from config. Use this to support multiple EXA filesystems. mountPoint: /exaFS # Overrides mountPoint value from config. Use this to support multiple EXA filesystems. mountOptions: ro,noflock minProjectId: 10001 # project id range for this storage class maxProjectId: 20000 ``` #### Example Run Nginx pod with dynamically provisioned volume: ```bash kubectl apply -f /opt/exascaler-csi-file-driver/examples/exa-dynamic-nginx.yaml # to delete this pod: kubectl delete -f /opt/exascaler-csi-file-driver/examples/exa-dynamic-nginx.yaml ``` ### Static (pre-provisioned) volumes The driver can use already existing Exasaler filesystem, in this case, _StorageClass_, _PersistentVolume_ and _PersistentVolumeClaim_ should be configured. Quota can be manually assigned for static volumes. First we need to associate a project with the volume folder ```bash lfs project -p 1000001 -s /mountPoint-csi/nginx-persistent ``` Then a quota can be set for that project ```bash lfs setquota -p 1000001 -B 2G /mountPoint-csi/ ``` #### _StorageClass_ configuration ```yaml apiVersion: storage.k8s.io/v1 kind: StorageClass metadata: name: exascaler-csi-driver-sc-nginx-persistent provisioner: exa.csi.ddn.com allowedTopologies: - matchLabelExpressions: - key: topology.exa.csi.ddn.com/zone values: - zone-1 mountOptions: # list of options for `mount -o ...` command # - noatime # ``` #### _PersistentVolume_ configuration ```yaml apiVersion: v1 kind: PersistentVolume metadata: name: exascaler-csi-driver-pv-nginx-persistent labels: name: exascaler-csi-driver-pv-nginx-persistent spec: storageClassName: exascaler-csi-driver-sc-nginx-persistent accessModes: - ReadWriteMany capacity: storage: 1Gi csi: driver: exa.csi.ddn.com volumeHandle: exa1:10.3.3.200@tcp;/exaFS:/mountPoint-csi:/nginx-persistent volumeAttributes: # volumeAttributes are the alternative of storageClass params for static (precreated) volumes. exaMountUid: "1001" # Uid which will be used to access the volume in pod. #mountOptions: ro, flock # list of options for `mount` command projectId: "1000001" ``` ### Topology configuration In order to configure CSI driver with kubernetes topology, use the `zone` parameter in driver config or storageClass parameters. Example config file with zones: ```bash exascaler_map: exa1: exaFS: 10.3.196.24@tcp:/csi mountPoint: /exaFS zone: us-west exa2: exaFS: 10.3.196.24@tcp:/csi-2 mountPoint: /exaFS-zone2 zone: us-east ``` This will assign volumes to be created on Exascaler cluster that correspond with the zones requested by allowedTopologies values. For topology-aware scheduling: Each node must have the `topology.exa.csi.ddn.com/zone` label with the zone configuration. Label node with topology zone: ```bash kubectl label node topology.exa.csi.ddn.com/zone=us-west ``` For removing label: ```bash kubectl label node topology.exa.csi.ddn.com/zone- ``` Important: If topology labels are added after driver installation, the node driver must be restarted on affected nodes. Restart node driver pod on specific node: ```bash kubectl delete pod -l app=exascaler-csi-node -n --field-selector spec.nodeName= ``` or restart all node driver pods: ```bash kubectl rollout restart daemonset exascaler-csi-node -n ``` For using `volumeBindingMode: WaitForFirstConsumer`, the topology must be configured. ```yaml apiVersion: storage.k8s.io/v1 kind: StorageClass metadata: name: exascaler-csi-file-driver-sc-nginx-dynamic provisioner: exa.csi.ddn.com volumeBindingMode: WaitForFirstConsumer parameters: configName: exa1 ``` ### CSI Parameters If a parameter is available for both config and storage class, storage class parameter will override config values |Config|Storage class| Description | Example | |--------|------------|------------------------------------------------------------------|--------------------------------------| | `exaFS` | `exaFS` | [required] Full path to EXAScaler filesystem | `10.3.3.200@tcp:/csi-fs` | | `mountPoint` |`mountPoint` | [required] Mountpoint on Kubernetes host where the exaFS will be mounted | `/exa-csi-mnt` | | - | `driver` [required] | Installed driver name " exa.csi.ddn.com" | `exa.csi.ddn.com` | | - | `volumeHandle` | [required for static volumes] The format is <configName>:<NID>;<Exascaler filesystem path>:<mountPoint>:<volumeHandle>. **Note:** The NID and Exascaler filesystem path are separated by a semicolon ( ; ), all other fields are delimited by a colon ( : ). | `exa1:10.3.3.200@tcp;/exaFS:/mountPoint-csi:/nginx-persistent` | | - | `exaMountUid` | Uid which will be used to access the volume from the pod. | `1015` | | - | `exaMountGid` | Gid which will be used to access the volume from the pod. | `1015` | | - | `projectId` | Points to EXA project id to be used to set volume quota. Automatically generated by the driver if not provided. | `100001` | | `managementIp` | `managementIp` | Should be used if there is a separate network configured for management operations, such as create/delete volumes. This network should have access to all Exa filesystems in a isolated zones environment | `192.168.10.20@tcp2` | | `bindMount` | `bindMount` | Determines, whether volume will bind mounted or as a separate lustre mount. Default is `true` | `true` | | `defaultMountOptions` | `mountOptions` | Options that will be passed to mount command (-o ) | `ro,flock` | | - | `minProjectId` | Minimum project ID number for automatic generation. Only used when projectId is not provided. | 10000 | | - | `maxProjectId` | Maximum project ID number for automatic generation. Only used when projectId is not provided. | 4294967295 | | - | `generateProjectIdRetries` | Maximum retry count for generating random project ID. Only used when projectId is not provided. | `5` | | `zone` | `zone` | Topology zone to control where the volume should be created. Should match topology.exa.csi.ddn.com/zone label on node(s). | `us-west` | | `v1xCompatible` | - | [Optional] Only used when upgrading the driver from v1.x.x to v2.x.x. Provides compatibility for volumes that were created beore the upgrade. Set it to `true` to point to the Exa cluster that was configured before the upgrade | `false` | |`tempMountPoint` | `tempMountPoint` | [Optional] Used when `exaFS` points to a subdirectory that does not exist on Exascaler and will be automatically created by the driver. This parameter sets the directory where Exascaler filesystem will be temporarily mounted to create the subdirectory. | `/tmp/exafs-mnt` | | `volumeDirPermissions` | `volumeDirPermissions` | [Optional] Defines file permissions for mounted volumes. | `0777` | | `hotNodes` | `hotNodes` | Determines whether `HotNodes` feature should be used. This feature can only be used by the driver when Hot Nodes (PCC) service is disabled and not used manually on the kubernetes workers. | `false` | | `pccCache` | `pccCache` | Directory for cached files of the file system. Note that lpcc does not recognize directories with a trailing slash (“/” at the end). | `/csi-pcc` | | `pccAutocache` | `pccAutocache` | Condition for automatic file attachment (caching) | `projid={500}` | | `pccPurgeHighUsage` | `pccPurgeHighUsage` | If the disk usage of cache device is higher than high_usage, start detaching the files. Defaults to 90 (90% disk/inode usage). | `90` | | `pccPurgeLowUsage` | `pccPurgeLowUsage` | If the disk usage of cache device is lower than low_usage, stop detaching the files. Defaults to 75 (75% disk/inode usage). | `70` | | `pccPurgeScanThreads` | `pccPurgeScanThreads` | Threads to use for scanning cache device in parallel. Defaults to 1. | `1` | | `pccPurgeInterval` | `pccPurgeInterval` | Interval for lpcc_purge to check cache device usage, in seconds. Defaults to 30. | `30` | | `pccPurgeLogLevel` | `pccPurgeLogLevel` | Log level for lpcc_purge: either “fatal”, “error”, “warn”, “normal”, “info” (default), or “debug”. | `info` | | `pccPurgeForceScanInterval` | `pccPurgeForceScanInterval` | Scan PCC backends forcefully after this number of seconds to refresh statistic data. | `30` | | - | `compression` | Algorithm ["lz4", "gzip", "lzo"] to use for data compression. default is "false" | `false` | | - | `configName` | Config entry name to use from the config map | `exa1` | #### _PersistentVolumeClaim_ (pointing to created _PersistentVolume_) ```yaml apiVersion: v1 kind: PersistentVolumeClaim metadata: name: exascaler-csi-driver-pvc-nginx-persistent spec: storageClassName: exascaler-csi-driver-cs-nginx-persistent accessModes: - ReadWriteMany resources: requests: storage: 1Gi selector: matchLabels: # to create 1-1 relationship for pod - persistent volume use unique labels name: exascaler-csi-file-driver-pv-nginx-persistent ``` #### Example Run nginx server using PersistentVolume. **Note:** Pre-configured filesystem should exist on the EXAScaler: `/exaFS/nginx-persistent`. ```bash kubectl apply -f /opt/exascaler-csi-file-driver/examples/nginx-persistent-volume.yaml # to delete this pod: kubectl delete -f /opt/exascaler-csi-file-driver/examples/nginx-persistent-volume.yaml ``` ### Snapshots To use CSI snapshots, the snapshot CRDs along with the csi-snapshotter must be installed. ```bash kubectl apply -f deploy/kubernetes/snapshots/ ``` After that the snapshot class for EXA CSI must be created Snapshot parameters can be passed through snapshot class as can be seen is `examples/snapshot-class.yaml` List of available snapshot parameters: | Name | Description | Example | |----------------|-------------------------------------------------------------------|--------------------------------------| | `snapshotFolder` | [Optional] Folder on ExaScaler filesystem where the snapshots will be created. | `csi-snapshots` | | `snapshotUtility` | [Optional] Either `tar` or `dtar`. `dtar` is faster but requires `dtar` to be installed on all k8s nodes. Default is `tar`| `dtar` | | `dtarPath` | [Optional] If `snapshotUtility` is `dtar` points to where the `dtar` utility is installed | `/opt/ddn/mpifileutils/bin/dtar` | | `snapshotMd5Verify` | [Optional] Defines whether the driver should do md5sum check on the snapshot. Ensures that the snapshot is not corrupt but reduces performance. Default is `false` | `true` | | `exaFS` | Same parameter as in storage class. If the original volume was created using storage class parameter for `exaFS` this MUST match the value of storage class. | `10.3.3.200@tcp:/csi-fs` | | `mountPoint` | Same parameter as in storage class. If the original volume was created using storage class parameter for `mountPoint` this MUST match the value of storage class. | `/exa-csi-mnt` | ```bash kubectl apply -f examples/snapshot-class.yaml ``` Now a snapshot can be created, for example ```bash kubectl apply -f examples/snapshot-from-dynamic.yaml ``` We can create a volume using the snapshot ```bash kubectl apply -f examples/nginx-from-snapshot.yaml ``` Exascaler CSI driver supports 2 snapshot modes: `tar` or `dtar`. Default mode is `tar`. To enable `dtar` set `snapshotUtility: dtar` in config. Dtar is much faster but requires mpifileutils `dtar` installed on all the nodes as a prerequisite. Installing `dtar` might differ depending on your OS. Here is an example for Ubuntu 22 ```bash # Install dependencies mpifileutils cd mkdir -p /opt/ddn/mpifileutils cd /opt/ddn/mpifileutils sudo apt-get install -y cmake libarchive-dev libbz2-dev libcap-dev libssl-dev openmpi-bin libopenmpi-dev libattr1-dev export INSTALL_DIR=/opt/ddn/mpifileutils git clone https://github.com/LLNL/lwgrp.git cd lwgrp ./autogen.sh ./configure --prefix=$INSTALL_DIR make -j 16 make install cd .. git clone https://github.com/LLNL/dtcmp.git cd dtcmp ./autogen.sh ./configure --prefix=$INSTALL_DIR --with-lwgrp=$INSTALL_DIR make -j 16 make install cd .. git clone https://github.com/hpc/libcircle.git cd libcircle sh ./autogen.sh ./configure --prefix=$INSTALL_DIR make -j 16 make install cd .. git clone https://github.com/hpc/mpifileutils.git mpifileutils-clone cd mpifileutils-clone cmake ./ -DWITH_DTCMP_PREFIX=$INSTALL_DIR -DWITH_LibCircle_PREFIX=$INSTALL_DIR -DCMAKE_INSTALL_PREFIX=$INSTALL_DIR -DENABLE_LUSTRE=ON -DENABLE_XATTRS=ON make -j 16 make install cd .. ``` If you use a different `INSTALL_DIR` path, pass it in config using `DtarPath` parameter. ## Updating the driver version To update to a new driver version, you need to follow the following steps: 1. Remove the old driver version ```bash kubectl delete -f /opt/exascaler-csi-file-driver/deploy/kubernetes/exascaler-csi-file-driver.yaml kubectl delete secrets exascaler-csi-file-driver-config rpm -evh exa-csi-driver ``` 2. Download the new driver version (git clone or new ISO) 3. Copy and edit config file ```bash cp /opt/exascaler-csi-file-driver/deploy/kubernetes/exascaler-csi-file-driver-config.yaml /etc/exascaler-csi-file-driver-v1.1/exascaler-csi-file-driver-config.yaml ``` If you are upgrading from v1.x.x to v2.x.x, config file structure will change to a map of Exascaler clusters instead of a flat structure. To support old volume that were created using v1.x.x, old config should be put in the config map with `v1xCompatible: true`. For example: v1.x.x config ```bash exaFS: 10.3.196.24@tcp:/csi mountPoint: /exaFS debug: true ``` v2.x.x config with support of previously created volumes ```bash exascaler_map: exa1: exaFS: 10.3.196.24@tcp:10.3.199.24@tcp:/csi mountPoint: /exaFS v1xCompatible: true exa2: exaFS: 10.3.1.200@tcp:10.3.2.200@tcp:10.3.3.200@tcp:/csi-fs mountPoint: /mnt2 debug: true ``` Only one of the Exascaler clusters can have `v1xCompatible: true` since old config supported only 1 cluster. 4. Update version in /opt/exascaler-csi-file-driver/deploy/kubernetes/exascaler-csi-file-driver.yaml ``` image: exascaler-csi-file-driver:v2.2.5 ``` 5. Load new image ```bash docker load -i /opt/exascaler-csi-file-driver/bin/exascaler-csi-file-driver.tar ``` 6. Apply new driver ```bash kubectl create secret generic exascaler-csi-file-driver-config --from-file=/etc/exascaler-csi-file-driver-v1.1/exascaler-csi-file-driver-config.yaml kubectl apply -f /opt/exascaler-csi-file-driver/deploy/kubernetes/exascaler-csi-file-driver.yaml ``` 7. Verify version ```bash kubectl get deploy/exascaler-csi-controller -o jsonpath="{..image}" ``` ## Troubleshooting ### Driver logs To collect all driver related logs, you can use the `kubectl logs` command. All in on command: ```bash mkdir exa-csi-logs for name in $(kubectl get pod -owide | grep exascaler | awk '{print $1}'); do kubectl logs $name --all-containers > exa-csi-logs/$name; done ``` To get logs from all containers of a single pod ```bash kubectl logs --all-containers ``` Logs from a single container of a pod ```bash kubectl logs -c driver ``` #### Driver secret ```bash kubectl get secret exascaler-csi-file-driver-config -o json | jq '.data | map_values(@base64d)' > exa-csi-logs/exascaler-csi-file-driver-config ``` #### PV/PVC/Pod data ```bash kubectl get pvc > exa-csi-logs/pvcs kubectl get pv > exa-csi-logs/pvs kubectl get pod > exa-csi-logs/pods ``` #### Extended info about a PV/PVC/Pod: ```bash kubectl describe pvc > exa-csi-logs/ kubectl describe pv > exa-csi-logs/ kubectl describe pod > exa-csi-logs/ ```