kubekey 2.2.0 fail to install kubesphere 3.2.1
Created by: epiphyllum
What is version of KubeKey has the issue?
2.2.0
What is your os environment?
Linux hadoop100 3.10.0-1160.el7.x86_64 #1 (closed) SMP Mon Oct 19 16:18:59 UTC 2020 x86_64 x86_64 x86_64 GNU/Linux
KubeKey config file
apiVersion: kubekey.kubesphere.io/v1alpha2
kind: Cluster
metadata:
name: sample
spec:
hosts:
- {name: hadoop100, address: 192.168.76.100, internalAddress: 191.168.76.100, user: root, password: "jessie"}
- {name: hadoop101, address: 192.168.76.101, internalAddress: 191.168.76.101, user: root, password: "jessie"}
- {name: hadoop102, address: 192.168.76.102, internalAddress: 191.168.76.102, user: root, password: "jessie"}
- {name: hadoop103, address: 192.168.76.103, internalAddress: 191.168.76.103, user: root, password: "jessie"}
- {name: hadoop104, address: 192.168.76.104, internalAddress: 191.168.76.104, user: root, password: "jessie"}
roleGroups:
etcd:
- hadoop100
control-plane:
- hadoop100
worker:
- hadoop101
- hadoop102
- hadoop103
- hadoop104
controlPlaneEndpoint:
## Internal loadbalancer for apiservers
# internalLoadbalancer: haproxy
domain: lb.kubesphere.local
address: ""
port: 6443
kubernetes:
version: v1.21.13
clusterName: cluster.local
autoRenewCerts: true
containerManager: docker
etcd:
type: kubekey
network:
plugin: calico
kubePodsCIDR: 10.233.64.0/18
kubeServiceCIDR: 10.233.0.0/18
## multus support. https://github.com/k8snetworkplumbingwg/multus-cni
multusCNI:
enabled: false
registry:
privateRegistry: ""
namespaceOverride: ""
registryMirrors: []
insecureRegistries: []
addons: []
---
apiVersion: installer.kubesphere.io/v1alpha1
kind: ClusterConfiguration
metadata:
name: ks-installer
namespace: kubesphere-system
labels:
version: v3.2.1
spec:
persistence:
storageClass: ""
authentication:
jwtSecret: ""
zone: ""
local_registry: ""
namespace_override: ""
# dev_tag: ""
etcd:
monitoring: true
endpointIps: localhost
port: 2379
tlsEnable: true
common:
core:
console:
enableMultiLogin: true
port: 30880
type: NodePort
# apiserver:
# resources: {}
# controllerManager:
# resources: {}
redis:
enabled: false
volumeSize: 2Gi
openldap:
enabled: false
volumeSize: 2Gi
minio:
volumeSize: 20Gi
monitoring:
# type: external
endpoint: http://prometheus-operated.kubesphere-monitoring-system.svc:9090
GPUMonitoring:
enabled: false
gpu:
kinds:
- resourceName: "nvidia.com/gpu"
resourceType: "GPU"
default: true
es:
# master:
# volumeSize: 4Gi
# replicas: 1
# resources: {}
# data:
# volumeSize: 20Gi
# replicas: 1
# resources: {}
logMaxAge: 7
elkPrefix: logstash
basicAuth:
enabled: false
username: ""
password: ""
externalElasticsearchHost: ""
externalElasticsearchPort: ""
alerting:
enabled: false
# thanosruler:
# replicas: 1
# resources: {}
auditing:
enabled: false
# operator:
# resources: {}
# webhook:
# resources: {}
devops:
enabled: false
jenkinsMemoryLim: 2Gi
jenkinsMemoryReq: 1500Mi
jenkinsVolumeSize: 8Gi
jenkinsJavaOpts_Xms: 512m
jenkinsJavaOpts_Xmx: 512m
jenkinsJavaOpts_MaxRAM: 2g
events:
enabled: false
# operator:
# resources: {}
# exporter:
# resources: {}
# ruler:
# enabled: true
# replicas: 2
# resources: {}
logging:
enabled: false
containerruntime: docker
logsidecar:
enabled: true
replicas: 2
# resources: {}
metrics_server:
enabled: false
monitoring:
storageClass: ""
# kube_rbac_proxy:
# resources: {}
# kube_state_metrics:
# resources: {}
# prometheus:
# replicas: 1
# volumeSize: 20Gi
# resources: {}
# operator:
# resources: {}
# adapter:
# resources: {}
# node_exporter:
# resources: {}
# alertmanager:
# replicas: 1
# resources: {}
# notification_manager:
# resources: {}
# operator:
# resources: {}
# proxy:
# resources: {}
gpu:
nvidia_dcgm_exporter:
enabled: false
# resources: {}
multicluster:
clusterRole: none
network:
networkpolicy:
enabled: false
ippool:
type: none
topology:
type: none
openpitrix:
store:
enabled: false
servicemesh:
enabled: false
kubeedge:
enabled: false
cloudCore:
nodeSelector: {"node-role.kubernetes.io/worker": ""}
tolerations: []
cloudhubPort: "10000"
cloudhubQuicPort: "10001"
cloudhubHttpsPort: "10002"
cloudstreamPort: "10003"
tunnelPort: "10004"
cloudHub:
advertiseAddress:
- ""
nodeLimit: "100"
service:
cloudhubNodePort: "30000"
cloudhubQuicNodePort: "30001"
cloudhubHttpsNodePort: "30002"
cloudstreamNodePort: "30003"
tunnelNodePort: "30004"
edgeWatcher:
nodeSelector: {"node-role.kubernetes.io/worker": ""}
tolerations: []
edgeWatcherAgent:
nodeSelector: {"node-role.kubernetes.io/worker": ""}
tolerations: []A clear and concise description of what happend.
[root@hadoop100 ~]# ./kk create cluster -f config-sample.yaml
| | / / | | | | / / | |/ / _ | |_ | |/ / ___ _ _ | | | | | ' \ / _ \ \ / _ \ | | | | |\ \ |_| | |) | / |\ \ / |_| | _| _/_,|./ ____| _/___|_, | / | |/
16:22:59 CST [GreetingsModule] Greetings 16:23:29 CST failed: [hadoop104] 16:23:29 CST failed: [hadoop101] 16:23:29 CST failed: [hadoop100] 16:23:29 CST failed: [hadoop102] 16:23:29 CST failed: [hadoop103] error: Pipeline[CreateClusterPipeline] execute failed: Module[GreetingsModule] exec failed: failed: [hadoop104] failed to connect to 192.168.76.104: could not establish connection to 192.168.76.104:22: dial tcp 192.168.76.104:22: i/o timeout failed: [hadoop101] failed to connect to 192.168.76.101: could not establish connection to 192.168.76.101:22: dial tcp 192.168.76.101:22: i/o timeout failed: [hadoop100] execute task timeout, Timeout=30000000000 failed: [hadoop102] execute task timeout, Timeout=30000000000 failed: [hadoop103] execute task timeout, Timeout=30000000000
Relevant log output
No response
Additional information
这5台服务器是可以相互ssh过去的。 防火墙相关的配置也是严格按文档做的。 都没有问题。