The curve-operator project helps deploy a Curve cluster orchestrated by Kubernetes.(Currently only supports CurveBS cluster deployment)
- Kubernetes 1.19,1.20
- Three-nodes cluster(stand-alone deployment is not supported at persent)
The first step is to install the Curve Operator.
$ git clone https://github.com/opencurve/curve-operator.git
$ cd curve-operator
$ kubectl apply -f config/deploy/verify the curve-operator is in the Running state in curve namespace.
$ kubectl get pod -n curve
NAME READY STATUS RESTARTS AGE
curve-operator-69bc69c75d-jfsjg 1/1 Running 0 7s$ vim config/samples/cluster.yamlapiVersion: operator.curve.io/v1
kind: CurveCluster
metadata:
name: curvebs-cluster-cloud
# The namespace to deploy CurveBS cluster.
# Curve operator is deployed in this namespace,Do not modify if not necessary
namespace: curve
spec:
# The container image used to launch the Curve daemon pods(etcd, mds, chunkserver, snapshotclone).
# v1.2 is Pacific and v1.3 is not tested.
curveVersion:
image: opencurvedocker/curvebs:v1.2.6
# Container image pull policy,
# By default the pull policy of all containers in that pod will be set to IfNotPresent if it is not explicitly specified and no modification necessary.
imagePullPolicy: IfNotPresent
# The K8s cluster nodes name in cluster that prepare to deploy Curve daemon pods(etcd, mds, snapshotclone).
# For stand-alone deploy, set one node here and see bscluster-onehost.yaml
# - node1 -> etcd-a, mds-a, snapshotclone-a
# - node2 -> etcd-b, mds-b, snapshotclone-b
# - node3 -> etcd-c, mds-c, snapshotclone-c
nodes:
- curve-operator-node1
- curve-operator-node2
- curve-operator-node3
# hostDataDir where data files and log files will be persisted on host machine. Must be specified.
# If you reinstall the cluster, make surce that you delete this directory from each host.
hostDataDir: /curvebs
etcd:
# Port for listening to partner communication.
# Etcd member accept incoming requests from its peers on a specific scheme://IP:port combination and the IP is host ip because we use hostnetwork:true.
peerPort: 23800
# clientPort for listening server port.
clientPort: 23790
mds:
port: 6700
dummyPort: 7700
storage:
# useSelectedNodes is to control whether to use individual nodes and their configured devices can be specified as well.
# This field is not implemented at present and is must set false here.
# You can refer following selectoedNodes setting commented if the function is completed later.
# But the func is not implemented yet.
useSelectedNodes: false
# The hosts specified to deployment chunkserver as storage resource.
# And you can configure the same nodes above configure that deploy etcd, mds and snapshotclone service.
nodes:
- curve-operator-node1
- curve-operator-node2
- curve-operator-node3
port: 8200
copySets: 100
# Make sure the devices configured are available on hosts above.
devices:
- name: /dev/vdc
mountPath: /data/chunkserver0
percentage: 80
# Not implement yet
#selectedNodes:
#- node: curve-operator-node1
# - devices:
# name: /dev/vdd
# mountPath: /data/chunkserver1
# percentage: 90
# - devices:
# name: /dev/vdf
# mountPath: /data/chunkserver2
# percentage: 80
#- node: curve-operator-node2
# - devices:
# name:
# mountPath:
# percentage:
snapShotClone:
# set false if there is no S3 service available temporarily or don't need to use the snapshot clone service
# Make sure s3 service exist if enable is set true
enable: false
port: 5555
dummyPort: 8800
proxyPort: 8900
s3Config:
# Access Key for the S3 service. Uploading snapshots
ak: <>
# Access Key for the S3 service. Uploading snapshots
sk: <>
# S3 service address
nosAddress: <>
# S3 service bucket name to store snapshots
bucketName: <>The specific meaning of each configuration item is already in the comments above cluster.yaml, which can be modified according to the instructions. Then you can deploy it in cluster.
Create the cluster:
$ kubectl apply -f config/samples/cluster.yaml
// or you can deploy stand-alone cluster using `bscluster-onhost.yaml`using kubectl to list pods in the curve namespace. You should be able to see the following pods once they are all running. The chunkserver numbers of will depend on the number of nodes in the cluster and the the number of devices configured.
$ kubectl -n curve get pod
NAME READY STATUS RESTARTS AGE
curve-chunkserver-curve-operator-node1-vdc-556fc99467-5nx9q 1/1 Running 0 5m45s
curve-chunkserver-curve-operator-node2-vdc-7cf89768f9-hmcrs 1/1 Running 0 5m45s
curve-chunkserver-curve-operator-node3-vdc-f77dd85dc-z5bws 1/1 Running 0 5m45s
curve-etcd-a-d5bbfb755-lzgrm 1/1 Running 0 41m
curve-etcd-b-66c5b54f75-6nnnt 1/1 Running 0 41m
curve-etcd-c-86b7964f87-cj8zk 1/1 Running 0 41m
curve-mds-a-7b5989bddd-ln2sm 1/1 Running 0 40m
curve-mds-b-56d8f58645-gv6pd 1/1 Running 0 40m
curve-mds-c-997c7fd-vt5hw 1/1 Running 0 40m
gen-logical-pool-rzhlz 0/1 Completed 0 5m15s
gen-physical-pool-chnw8 0/1 Completed 0 5m45s
prepare-chunkfile-curve-operator-node1-vdc-znb66 0/1 Completed 0 40m
prepare-chunkfile-curve-operator-node2-vdc-6gf2z 0/1 Completed 0 40m
prepare-chunkfile-curve-operator-node3-vdc-2bkxm 0/1 Completed 0 40m
read-config-k272k 0/1 Completed 0 41mTips: The chunkserver pods may not start immediately, because the disk needs to be formatted in the background(
prepare-chunkfilejobs), so it may take a while to see the chunkserver pod. The waiting time is determined according to the number and percentage of configured disks, and it may be a long time.
To verify that the cluster is in healthy state, enter one curve-chunkserver pod and curve_ops_tools status command to check.
$ kubectl exec -it <any one chunkserver pod> -- bash
$ curve_ops_tool status
Cluster status:
cluster is healthy
total copysets: 100, unhealthy copysets: 0, unhealthy_ratio: 0%
physical pool number: 1, logical pool number: 1
Space info:
physical: total = 1178GB, used = 6GB(0.56%), left = 1171GB(99.44%)
logical: total = 392GB, used = 41GB(10.44%, can be recycled = 0GB(0.00%)), left = 351GB(89.56%), created file size = 60GB(15.28%)
Client status:
nebd-server: version-1.2.5+2c4861ca: 1
...The cluster is deploymented completed and successfully if you see cluster is healthy prompt.
After installing the operator and curve cluster, you can create a PVC that to use curvebs as pod storage.
Refer to the documentation deploy curve-csi to deploy curve-csi and use curve as backend storage of pod.
More details can see curve-csi project at curve-csi github.
You can uninstall curve cluster deployed and clean up data on host.
$ kubectl -n curve delete curvecluster my-clusterVerify that the cluster CR has been deleted before continuing to the next step.
$ kubectl -n curve get curveclusterThis will begin the process of the curve-operator and all other resources being cleaned up.
$ kubectl delete -f config/deploy/The final cleanup setp requires deleting files on each host in the cluster. All files under the hostDataDir property specified in the cluster CRD will need to be deleted. Otherwise, inconsistent state will remain when a new cluster is started.
Connect to each machine and delete /curvebs, or the path specified by the dataDirHostPath and logDirHostPath.
$ rm -rf /curvebsIn the future this setp will not neccssary that we can delete it by running job on cluster if cleanUpConfirm is set.