kubesphere+kubernetes搭建生产环境高可用集群（四-2）
k8s常用中间件的部署（二）
大数据相关中间件的部署
Gitlab
- 创建gitlab服务的存储pvc文件
[root@k8s-master-1 gitlab]# cat pvc.yaml
---
apiVersion: v1
kind: PersistentVolumeClaim
metadata:
name: gitlab-pvc-data ##用于存储git数据
namespace: ops
labels:
app: gitlab
spec:
storageClassName: glusterfs
accessModes:
- ReadWriteMany
resources:
requests:
storage: 200Gi
---
apiVersion: v1
kind: PersistentVolumeClaim
metadata:
name: gitlab-pvc-log ##用于存储git日志
namespace: ops
labels:
app: gitlab
spec:
storageClassName: glusterfs
accessModes:
- ReadWriteMany
resources:
requests:
storage: 10Gi
---
apiVersion: v1
kind: PersistentVolumeClaim
metadata:
name: gitlab-pvc-conf ##用于存储git配置
namespace: ops
labels:
app: gitlab
spec:
storageClassName: glusterfs
accessModes:
- ReadWriteMany
resources:
requests:
storage: 2Gi
- 创建gitlab服务的部署deployment文件
[root@k8s-master-1 gitlab]# cat gitlab.yaml
---
# ------------------------定义Gitlab的部署 -----------------------
apiVersion: apps/v1 # for versions before 1.9.0 use apps/v1beta2
kind: Deployment
metadata:
name: gitlab
namespace: ops
spec:
selector:
matchLabels:
app: gitlab
revisionHistoryLimit: 2
template:
metadata:
labels:
app: gitlab
spec:
containers:
# 应用的镜像
- image: dockerhub.dsj.com:18443/library/gitlab-ce ##镜像从dockerhub拉取的镜像为gitlab/gitlab-ce
name: gitlab
imagePullPolicy: IfNotPresent
env:
- name: "GITLAB_OMNIBUS_CONFIG"
value: "external_url 'https://gitlab.dsj.com'" ##git外部访问域名
# 应用的内部端口
ports:
- containerPort: 443
name: gitlab443
- containerPort: 80
name: gitlab80
- containerPort: 22
name: gitlab22
volumeMounts:
- name: gitlab-persistent-data
mountPath: /var/opt/gitlab
- name: gitlab-persistent-log
mountPath: /var/log/gitlab
- name: gitlab-persistent-conf
mountPath: /etc/gitlab
- name: localtime
mountPath: /etc/localtime
volumes:
- name: gitlab-persistent-data
persistentVolumeClaim:
claimName: gitlab-pvc-data
- name: gitlab-persistent-log
persistentVolumeClaim:
claimName: gitlab-pvc-log
- name: gitlab-persistent-conf
persistentVolumeClaim:
claimName: gitlab-pvc-conf
- name: localtime ##挂载时间同步文件
hostPath:
path: /etc/localtime
- 创建gitlab服务的service服务访问文件
[root@k8s-master-1 gitlab]# cat service.yaml
apiVersion: v1
kind: Service
metadata:
name: gitlab
namespace: ops
spec:
type: NodePort
ports:
# Port上的映射端口
- port: 443
targetPort: 443
nodePort: 31443 ##映射k8s集群外部访问端口
name: gitlab443
# - port: 80
# targetPort: 80
# name: gitlab80
# nodePort: 30080
- port: 22
targetPort: 22
name: gitlab22
selector:
app: gitlab
- 部署gitlab
[root@k8s-master-1 gitlab]# kubectl apply -f pvc.yaml
[root@k8s-master-1 gitlab]# kubectl apply -f gitlab.yaml
[root@k8s-master-1 gitlab]# kubectl apply -f service.yaml
- 验证部署
- 创建gitlab后可能会遇到启动失败重启的问题，这里多等待一段时间就好
[root@k8s-master-1 gitlab]# kubectl get pod -n ops
NAME READY STATUS RESTARTS AGE
gitlab-8668fc99b8-bs74c 1/1 Running 7 (53d ago) 53d
- 查看gitlab的root账户的初始化密码
[root@k8s-master-1 gitlab]# kubectl exec -it gitlab-8668fc99b8-bs74c -n ops /bin/bash
kubectl exec [POD] [COMMAND] is DEPRECATED and will be removed in a future version. Use kubectl exec [POD] -- [COMMAND] instead.
root@gitlab-8668fc99b8-bs74c:/# cat /etc/gitlab/initial_root_password
# WARNING: This value is valid only in the following conditions
# 1. If provided manually (either via `GITLAB_ROOT_PASSWORD` environment variable or via `gitlab_rails['initial_root_password']` setting in `gitlab.rb`, it was provided before database was seeded for the first time (usually, the first reconfigure run).
# 2. Password hasn't been changed manually, either via UI or via command line.
#
# If the password shown here doesn't work, you must reset the admin password following https://docs.gitlab.com/ee/security/reset_user_password.html#reset-your-root-password.
Password: JWZo7uqNTxISEqJRaSGqTYsRIoodUYOeD+G4yMM+Las=
# NOTE: This file will be automatically deleted in the first reconfigure run after 24 hours.
- 登录gitlab
使用浏览器访问https://任意节点ip+31443，输入账户密码即可（账户root，密码为上方初始化密码）
Flink
Flink使用Helm部署方案，参考:https://artifacthub.io/packages/helm/riskfocus/flink
- 在联网的机器上配置helm源，并下载离线包
[root@master-2 ~]# helm repo add riskfocus https://riskfocus.github.io/helm-charts-public/
"riskfocus" has been added to your repositories
[root@master-2 ~]# helm pull riskfocus/flink --version 0.2.0
flink-0.2.0.tgz
- 解压，修改默认配置
- 修改为如下配置
[root@k8s-master-1 yaml]# cd flink
[root@k8s-master-1 flink]# vim values.yaml
# Default values for flink.
# This is a YAML-formatted file.
# Declare variables to be passed into your templates.
nameOverride: ""
fullnameOverride: ""
image:
repository: dockerhub.dsj.com:18443/library/flink ###修改镜像为私有镜像tag
tag: 1.14.4-scala_2.12
pullPolicy: Always ###拉取镜像策略，每次启动都拉取
imagePullSecrets: []
# Pod Security Context
# ref: https://kubernetes.io/docs/tasks/configure-pod-container/security-context/
securityContext: {}
# securityContext:
# fsGroup: 1000
# runAsUser: 1000
# runAsNonRoot: true
# For general configuration
flink:
# logging, log4j configuration copied from Flink distribution
logging:
log4j_properties: |+
# This affects logging for both user code and Flink
rootLogger.level = INFO
rootLogger.appenderRef.console.ref = ConsoleAppender
rootLogger.appenderRef.rolling.ref = RollingFileAppender
# Uncomment this if you want to _only_ change Flink's logging
#logger.flink.name = org.apache.flink
#logger.flink.level = INFO
# The following lines keep the log level of common libraries/connectors on
# log level INFO. The root logger does not override this. You have to manually
# change the log levels here.
logger.akka.name = akka
logger.akka.level = INFO
logger.kafka.name= org.apache.kafka
logger.kafka.level = INFO
logger.hadoop.name = org.apache.hadoop
logger.hadoop.level = INFO
logger.zookeeper.name = org.apache.zookeeper
logger.zookeeper.level = INFO
# Log all infos to the console
appender.console.name = ConsoleAppender
appender.console.type = CONSOLE
appender.console.layout.type = PatternLayout
appender.console.layout.pattern = %d{yyyy-MM-dd HH:mm:ss,SSS} %-5p %-60c %x - %m%n
# Log all infos in the given rolling file
appender.rolling.name = RollingFileAppender
appender.rolling.type = RollingFile
appender.rolling.append = false
appender.rolling.fileName = ${sys:log.file}
appender.rolling.filePattern = ${sys:log.file}.%i
appender.rolling.layout.type = PatternLayout
appender.rolling.layout.pattern = %d{yyyy-MM-dd HH:mm:ss,SSS} %-5p %-60c %x - %m%n
appender.rolling.policies.type = Policies
appender.rolling.policies.size.type = SizeBasedTriggeringPolicy
appender.rolling.policies.size.size=100MB
appender.rolling.strategy.type = DefaultRolloverStrategy
appender.rolling.strategy.max = 10
# Suppress the irrelevant (wrong) warnings from the Netty channel handler
logger.netty.name = org.apache.flink.shaded.akka.org.jboss.netty.channel.DefaultChannelPipeline
logger.netty.level = OFF
# monitoring is exporting metrics in Prometheus format
monitoring:
enabled: true
# port for metrics
port: 9999
# latency monitoring
latency:
enabled: false
probingInterval: 1000
# system is additional system metrics
system:
enabled: true
probingInterval: 5000
rocksdb:
enabled: false
workDir: /opt/flink
# In case of issue - Metaspace OOM increase this param according to your memory limits
# params: |+
# taskmanager.memory.jvm-metaspace.size: 256mb
params: ""
state:
# backend for state. Available options: filesystem, rocksdb, memory; empty - for default(memory)
backend:
# These values are default excludes file pathes
# https://ci.apache.org/projects/flink/flink-docs-stable/dev/stream/state/checkpointing.html#related-config-options
params: |+
state.checkpoints.dir: file:///flink_state/checkpoints
state.savepoints.dir: file:///flink_state/savepoints
state.backend.async: true
state.backend.fs.memory-threshold: 1024
state.backend.fs.write-buffer-size: 4096
state.backend.incremental: false
state.backend.local-recovery: false
state.checkpoints.num-retained: 1
taskmanager.state.local.root-dirs: file:///flink_state/local-recovery
# https://ci.apache.org/projects/flink/flink-docs-stable/ops/state/state_backends.html#rocksdb-state-backend-config-options
# * state.backend.rocksdb.localdir doesn't have a prefix - file://
rocksdb: |+
state.backend.rocksdb.checkpoint.transfer.thread.num: 1
state.backend.rocksdb.localdir: /flink_state/rocksdb
state.backend.rocksdb.options-factory: org.apache.flink.contrib.streaming.state.DefaultConfigurableOptionsFactory
state.backend.rocksdb.predefined-options: DEFAULT
state.backend.rocksdb.timer-service.factory: HEAP
state.backend.rocksdb.ttl.compaction.filter.enabled: false
# extraEnvs passes envs to both Jobmanagers and Taskmanager
# for example
# extraEnvs:
# - name: KAFKA_BOOTSTRAP_SERVERS
# value: dest-kafka-bootstrap:9092
#
extraEnvs: []
jobmanager:
# Statefulset option will create Jobmanager as a StatefulSet
statefulset: true ####将jobmanager修改为statefulset方便管理
# Init containers
initContainers: {}
# Example
# test:
# image: busybox:1.28
# command:
# - /bin/sh
# - -c
# - "echo test"
# highAvailability configuration based on zookeeper
highAvailability:
# enabled also will enable zookeeper Dependency
enabled: true ###启用高可用模式，需要链接zookeeper支持
zookeeperConnect: "{{ .Release.Name }}-zookeeper:{{ .Values.zookeeper.env.ZOO_PORT }}" ####zk链接地址，可根据实际修改
zookeeperRootPath: /flink
clusterId: /flink
# storageDir for Jobmanagers. DFS expected.
# Docs - Storage directory (required): JobManager metadata is persisted in the file system storageDir and only a pointer to this state is stored in ZooKeeper
storageDir: /flink/ha_data ###定义JobManager的工作目录
# syncPort is a rpc port in HA configuration
syncPort: 6150
# command for HA configuration
# this trick with sed required because taskmanagers read jobmanager.rpc.address from Zookeeper.
# For configuration with one jobmanager (it's enough stable because Kubernetes will restart Jobmanager on falures)
# 'sed' can be changed to use flink service name, e.g. {{ include "flink.name" . }}-jobmanager
command: >-
sed 's/REPLACE_HOSTNAME/'${FLINK_POD_IP}'/'
$FLINK_HOME/conf/flink-conf.yaml.tpl > $FLINK_HOME/conf/flink-conf.yaml &&
$FLINK_HOME/bin/jobmanager.sh start-foreground;
# Additional param for JVM to support security.properties override
# check configMap for more information
jvmArgs: "-Djava.security.properties={{ .Values.flink.workDir }}/conf/security.properties"
# extraEnvs passes envs to Jobmanagers
extraEnvs: []
ports:
rpc: 6123
# blob port uses for Liveness probe
blob: 6124
ui: 8081
nodeport: 30081 ###新增nodeport端口配置，方便外部访问
replicaCount: 2 ###jobmanager的副本数量
# heapSize params for Jobmanager
# keep in mind that Flink can use offheap memory
# e.g. in case of checkpoint usage
heapSize: 1g
resources: {}
# Example
# limits:
# cpu: 3800m
# memory: 8000Mi
additionalCommand: >-
cp /opt/flink/opt/flink-s3-fs-presto-*.jar
/opt/flink/lib/ ####这里因为部署环境为离线环境，故这里将下载jar包命令注释，否则会报错。可以在有外网的环境中，启动镜像并下载jar包，然后再导入离线环境中
# wget https://repo1.maven.org/maven2/com/github/oshi/oshi-core/3.4.0/oshi-core-3.4.0.jar
# -O /opt/flink/lib/oshi-core-3.4.0.jar &&
# wget https://repo1.maven.org/maven2/net/java/dev/jna/jna/5.4.0/jna-5.4.0.jar
# -O /opt/flink/lib/jna-5.4.0.jar &&
# wget https://repo1.maven.org/maven2/net/java/dev/jna/jna-platform/5.4.0/jna-platform-5.4.0.jar
# -O /opt/flink/lib/jna-platform-5.4.0.jar
command: >-
cp $FLINK_HOME/conf/flink-conf.yaml.tpl $FLINK_HOME/conf/flink-conf.yaml &&
$FLINK_HOME/bin/jobmanager.sh start-foreground;
service:
type: ClusterIP
annotations: {}
# rest is additional service which exposes only HTTP port
# can be using for cases of using exposeController
rest:
enabled: true
annotations: {}
headless:
annotations: {}
nodeSelector: {}
affinity: {}
tolerations: []
persistent:
enabled: true
# https://kubernetes.io/docs/concepts/storage/persistent-volumes/#class-1
storageClass: glusterfs ###修改使用的动态存储为glusterfs
size: 100Gi ###挂载的pvc大小改为100G
mountPath: "/flink_state"
podManagementPolicy: Parallel
annotations: {}
# Example
# "cluster-autoscaler.kubernetes.io/safe-to-evict": "false"
serviceAccount:
# Specifies whether a ServiceAccount should be created
create: true
# The name of the ServiceAccount to use.
# If not set and create is true, a name is generated using the fullname template
name:
annotations: {}
#livenessProbe will conduct checks for rpc port as tcpSocket probe
livenessProbe:
initialDelaySeconds: 10
periodSeconds: 15
readinessProbe:
periodSeconds: 10
initialDelaySeconds: 20
podAnnotations: {}
taskmanager:
# Statefulset option will create Taskmanager as a StatefulSet
# A necessary option for Persistent
statefulset: true
# Additional param for JVM to support security.properties override
# check configMap for more information
jvmArgs: "-Djava.security.properties={{ .Values.flink.workDir }}/conf/security.properties"
# extraEnvs passes envs to Taskmanagers
extraEnvs: []
ports:
rpc: 6122
replicaCount: 4
numberOfTaskSlots: 1
memoryProcessSize: 1g
memoryFlinkSize:
resources: {}
# Example
# limits:
# cpu: 3800m
# memory: 8000Mi
additionalCommand: >-
cp /opt/flink/opt/flink-s3-fs-presto-*.jar
/opt/flink/lib/ ####这里因为部署环境为离线环境，故这里将下载jar包命令注释，否则会报错。可以在有外网的环境中，启动镜像并下载jar包，然后再导入离线环境中
# wget https://repo1.maven.org/maven2/com/github/oshi/oshi-core/3.4.0/oshi-core-3.4.0.jar
# -O /opt/flink/lib/oshi-core-3.4.0.jar &&
# wget https://repo1.maven.org/maven2/net/java/dev/jna/jna/5.4.0/jna-5.4.0.jar
# -O /opt/flink/lib/jna-5.4.0.jar &&
# wget https://repo1.maven.org/maven2/net/java/dev/jna/jna-platform/5.4.0/jna-platform-5.4.0.jar
# -O /opt/flink/lib/jna-platform-5.4.0.jar
command: >-
$FLINK_HOME/bin/taskmanager.sh start-foreground;
service:
type: ClusterIP
nodeSelector: {}
affinity: {}
tolerations: []
persistent:
enabled: true
# https://kubernetes.io/docs/concepts/storage/persistent-volumes/#class-1
storageClass: glusterfs ###修改动态存储为glusterfs
size: 100Gi ###修改挂载的pvc为100G
mountPath: "/flink_state"
podManagementPolicy: Parallel
annotations:
"cluster-autoscaler.kubernetes.io/safe-to-evict": "false"
serviceAccount:
# Specifies whether a ServiceAccount should be created
create: true
# The name of the ServiceAccount to use.
# If not set and create is true, a name is generated using the fullname template
name:
annotations: {}
#livenessProbe will conduct checks for rpc port as tcpSocket probe
livenessProbe:
initialDelaySeconds: 30
periodSeconds: 60
podAnnotations: {}
ingress:
enabled: false
annotations: {}
path: /
hosts: []
tls: []
prometheus:
# serviceMonitor provides service discovery for prometheus operatored installations
serviceMonitor:
enabled: false
namespace:
interval: 5s
selector:
# According to default selector for prometheus operator
prometheus: kube-prometheus
zookeeper:
enabled: true ###开启zookeeper,以提供高可用服务
replicaCount: 3
env:
ZK_HEAP_SIZE: "1G"
ZOO_PORT: 2181
resources:
limits:
cpu: 400m
memory: 1256Mi
persistence:
enabled: true
secrets:
# Plain predefined secrets example
# kubernetesSecrets:
# - name: kerberos
# mountPath: /kerberos
bitnamiSealedSecrets:
enabled: false
# The encrypted raw file sealed secrets generated for example with
# kubeseal --raw --from-file=... --controller-name sealed-secrets --scope namespace-wide
sealedSecretFiles: {}
# file1: encypted_file1
# file2: encypted_file2
sealedSecretFilesPath: /etc/sealed
sealedSecretFilesAnnotations:
sealedsecrets.bitnami.com/namespace-wide: true
# The encrypted raw env sealed secrets generated for example with
# echo -n password | kubeseal --raw --from-file=/dev/stdin --controller-name sealed-secrets --scope namespace-wide
sealedSecretEnvs: {}
# env1: encypted_env1
# env2: encypted_env2
sealedSecretEnvsAnnotations:
sealedsecrets.bitnami.com/namespace-wide: true
- 修改jobmanager-service-reset的service类型为nodeport，以便外部访问
[root@k8s-master-1 flink]# cd templates/
[root@k8s-master-1 templates]# vim jobmanager-rest-service.yaml
{{ if .Values.jobmanager.service.rest.enabled }}
apiVersion: v1
kind: Service
metadata:
name: {{ include "flink.fullname" . }}-jobmanager-rest
labels:
{{ include "flink.labels" . | indent 4 }}
component: jobmanager
{{- if .Values.jobmanager.service.rest.annotations }}
annotations:
{{ toYaml .Values.jobmanager.service.rest.annotations | indent 4 }}
{{- end }}
spec:
type: NodePort
ports:
- port: {{ .Values.jobmanager.ports.ui }}
targetPort: {{ .Values.jobmanager.ports.ui }}
protocol: TCP
nodePort: {{ .Values.jobmanager.ports.nodeport }}
name: ui
selector:
app.kubernetes.io/name: {{ include "flink.name" . }}
app.kubernetes.io/instance: {{ .Release.Name }}
component: jobmanager
{{- end }}
- 修改zookeeper配置
[root@k8s-master-1 zookeeper]# vim values.yaml
.........
image:
repository: dockerhub.dsj.com:18443/library/zookeeper # Container image repository for zookeeper container.
tag: 3.5.5 # Container image tag for zookeeper container.
pullPolicy: IfNotPresent # Image pull criteria for zookeeper container.
..........
- 离线镜像制作
- 登录可连接外网的机器
[root@k8s-master-2 flink]# vim dockerfile
FROM flink:1.11.2-scala_2.12
RUN wget https://repo1.maven.org/maven2/com/github/oshi/oshi-core/3.4.0/oshi-core-3.4.0.jar -O /opt/flink/lib/oshi-core-3.4.0.jar && wget https://repo1.maven.org/maven2/net/java/dev/jna/jna/5.4.0/jna-5.4.0.jar -O /opt/flink/lib/jna-5.4.0.jar && wget https://repo1.maven.org/maven2/net/java/dev/jna/jna-platform/5.4.0/jna-platform-5.4.0.jar -O /opt/flink/lib/jna-platform-5.4.0.jar ##可以在此添加其他需要的jar包
[root@k8s-master-2 flink]# docker build -t dockerhub.dsj.com:18443/library/flink:1.14.4-scala_2.12 .
[root@k8s-master-2 flink]# docker save -o flink.tar dockerhub.dsj.com:18443/library/flink:1.14.4-scala_2.12
[root@k8s-master-2 flink]# docker pull zookeeper:3.5.5
[root@k8s-master-2 flink]# docker save -o zookeeper.tar zookeeper:3.5.5
- 上传至离线环境
#导入镜像
[root@k8s-master-1 flink]# docker load -i flink.tar
[root@k8s-master-1 flink]# docker load -i zookeeper.tar
#将镜像推送至镜像仓库
[root@k8s-master-1 flink]# docker push dockerhub.dsj.com:18443/library/flink:1.14.4-scala_2.12
[root@k8s-master-1 flink]# docker tag zookeeper:3.5.5 dockerhub.dsj.com:18443/library/zookeeper:3.5.5
- 安装
#指定安装的flink命名空间，需要事先进入helm项目目录
[root@k8s-master-1 flink]# ls
charts Chart.yaml OWNERS README.md requirements.lock requirements.yaml templates values.yaml
[root@k8s-master-1 flink]# pwd
/root/yaml/flink
[root@k8s-master-1 flink]# helm install --name flink --namespace flink .
#查看已安装的helm项目
[root@k8s-master-1 trino-1.14.0]# helm list
NAME NAMESPACE REVISION UPDATED STATUS CHART APP VERSION
dolphinscheduler default 1 2022-03-25 13:48:14.477718902 +0530 IST deployed dolphinscheduler-2.0.3 2.0.5
dremio default 1 2022-03-25 13:17:22.182284837 +0530 IST deployed dremio-2.0.2
flink default 1 2022-03-25 13:29:42.943273464 +0530 IST deployed flink-0.2.0 1.11.2
trino default 1 2022-04-21 08:33:53.005101636 +0530 IST deployed trino-1.14.0 375
#卸载flink
[root@k8s-master-1 flink]# helm uninstall flink
#更新helm项目
[root@k8s-master-1 flink]# helm upgrade flink .
- 查看部署结果
#查看部署的pod资源
[root@k8s-master-1 zookeeper]# kubectl get pod
flink-jobmanager-0 1/1 Running 1 (60d ago) 60d
flink-jobmanager-1 1/1 Running 1 (60d ago) 60d
flink-taskmanager-0 1/1 Running 1 (60d ago) 60d
flink-taskmanager-1 1/1 Running 1 (60d ago) 60d
flink-taskmanager-2 1/1 Running 1 (60d ago) 60d
flink-taskmanager-3 1/1 Running 1 (60d ago) 60d
flink-zookeeper-0 1/1 Running 0 60d
flink-zookeeper-1 1/1 Running 0 60d
flink-zookeeper-2 1/1 Running 0 60d
#查看部署的pvc存储卷
[root@k8s-master-1 zookeeper]# kubectl get pvc
data-flink-zookeeper-0 Bound pvc-5bfa1dae-c190-493d-b186-6221ae4defd5 100Gi RWO glusterfs 60d
data-flink-zookeeper-1 Bound pvc-10281647-676c-42b5-b89b-9f127b412a7d 100Gi RWO glusterfs 60d
data-flink-zookeeper-2 Bound pvc-462dac00-0376-4da2-8d7b-ae59f72a34b7 100Gi RWO glusterfs 60d
jobmanager-data-flink-jobmanager-0 Bound pvc-055a0f3f-0fd1-42b5-9ea8-7f384e5bbba3 100Gi RWO glusterfs 60d
jobmanager-data-flink-jobmanager-1 Bound pvc-8a16a71a-058b-4529-899c-12eb06fee4aa 100Gi RWO glusterfs 60d
taskmanager-data-flink-taskmanager-0 Bound pvc-3d34b91d-d72e-4359-a200-68f5ff0cd241 100Gi RWO glusterfs 60d
taskmanager-data-flink-taskmanager-1 Bound pvc-51820972-1d03-4a14-93eb-b2a3637629ef 100Gi RWO glusterfs 60d
taskmanager-data-flink-taskmanager-2 Bound pvc-e449b2f4-fbd2-4c4e-8e8a-2c5a2a2e515c 100Gi RWO glusterfs 60d
taskmanager-data-flink-taskmanager-3 Bound pvc-4a523a26-efb4-4756-bd93-f8074ec244f1 100Gi RWO glusterfs 60d
#查看部署的svc服务
[root@k8s-master-1 zookeeper]# kubectl get svc
flink-jobmanager ClusterIP 10.233.28.152 <none> 6124/TCP,30081/TCP,6123/TCP,8081/TCP,6150/TCP,9999/TCP 60d
flink-jobmanager-headless ClusterIP None <none> 6124/TCP,30081/TCP,6123/TCP,8081/TCP,9999/TCP 60d
flink-jobmanager-rest NodePort 10.233.4.209 <none> 8081:30081/TCP 60d
flink-taskmanager ClusterIP 10.233.30.129 <none> 6122/TCP,9999/TCP 60d
flink-zookeeper ClusterIP 10.233.34.82 <none> 2181/TCP 60d
flink-zookeeper-headless ClusterIP None <none> 2181/TCP,3888/TCP,2888/TCP 60d
#查看部署的cm配置文件
[root@k8s-master-1 dolphinscheduler]# kubectl get cm
flink-config 5 61d
flink-zookeeper 3 61d
Trino
trino使用Helm部署方案，参考：https://artifacthub.io/packages/helm/statcan/trino
- 在联网的机器上配置helm源，并下载离线包
[root@master-2 ~]# helm repo add valeriano-manassero https://valeriano-manassero.github.io/helm-charts
"valeriano-manassero" has been added to your repositories
[root@master-2 ~]# helm pull valeriano-manassero/trino --version 1.15.0
trino-1.15.0.tgz
- 解压，修改默认配置
- 修改为如下配置
[root@master-2 ~]# tar xf trino-1.15.0.tgz
[root@master-2 trino]# ls
Chart.yaml LICENSE README.md templates values.yaml
[root@master-2 trino]# vim values.yaml
image:
repository: dockerhub.dsj.com:18443/library/trino ###修改镜像为私有仓库tag
tag: 375
pullPolicy: Always ###修改镜像拉取策略为每次启动都拉取
securityContext:
runAsUser: 1000
runAsGroup: 1000
imagePullSecrets: []
# For example:
# imagePullSecrets:
# - name: registry-credentials
env: []
# Both worker & coordinator can use environment variables to expose information about itself to Containers running in the Pod
ingress:
enabled: false
annotations: {}
host: ""
tls:
secretName: ""
server:
workers: 5
node:
environment: production
dataDir: /data/trino
pluginDir: /usr/lib/trino/plugin
log:
trino:
level: INFO
config:
path: /etc/trino
http:
port: 8080
processForwarded: false
# Trino supports multiple authentication types: PASSWORD, CERTIFICATE, OAUTH2, JWT, KERBEROS
# For more info: https://trino.io/docs/current/security/authentication-types.html
# authenticationType: "PASSWORD"
httpsServer:
enabled: false
port: 8443
keystore:
path: "/usr/local/certs/clustercoord.pem"
# JKS keystores always require a password, while PEM format certificates can optionally require a password
key: ""
query:
maxMemory: "3GB"
maxMemoryPerNode: "1GB"
maxTotalMemory: "6GB"
maxTotalMemoryPerNode: "2GB"
prestoCompatibleHeader: false
workerExtraConfig: ""
coordinatorExtraConfig: ""
jvm:
maxHeapSize: "7G"
gcMethod:
type: "UseG1GC"
g1:
heapRegionSize: "32M"
autoscaler:
enabled: false
maxReplicas: 5
targetCPUUtilizationPercentage: 50
initContainers: {}
# coordinator:
# - name: init-coordinator
# image: busybox:1.28
# imagePullPolicy: IfNotPresent
# command: ['sh', '-c', "until nslookup myservice.$(cat /var/run/secrets/kubernetes.io/serviceaccount/namespace).svc.cluster.local; do echo waiting for myservice; sleep 2; done"]
# worker:
# - name: init-worker
# image: busybox:1.28
# command: ['sh', '-c', 'echo The worker is running! && sleep 3600']
auth: {}
# Set username and password
# https://trino.io/docs/current/security/password-file.html#file-format
# passwordAuth: "username:encrypted-password-with-htpasswd"
accessControl:
# # Supported types: pvc or configmap
#type: pvc
# refreshPeriod: 1s
# # Rules file is mounted to /etc/trino/access-control
# configFile: "/access-control/rules.json"
# # If you use pvc as the type, you have to specify the pvcName field:
#pvcName: access-control-pvc
#pvcStorage: 50G
#pvcStorageClassName: glusterfs
# # If you use pvc as the type, you can specify the name of the volume with the pvcVolumeName:
# pvcVolumeName: access-control-pvc-volume
# # If you use configmap as the type, you have to specify the rules field:
# rules:
# rules.json: |-
# {
# "catalogs": [
# {
# "user": "admin",
# "catalog": "(mysql|system)",
# "allow": "all"
# },
# {
# "group": "finance|human_resources",
# "catalog": "postgres",
# "allow": true
# },
# {
# "catalog": "hive",
# "allow": "all"
# },
# {
# "user": "alice",
# "catalog": "postgresql",
# "allow": "read-only"
# },
# {
# "catalog": "system",
# "allow": "none"
# }
# ],
# "schemas": [
# {
# "user": "admin",
# "schema": ".*",
# "owner": true
# },
# {
# "user": "guest",
# "owner": false
# },
# {
# "catalog": "default",
# "schema": "default",
# "owner": true
# }
# ]
# }
resourceGroups:
# # Supported types: pvc or configmap
# type: pvc
# # Rules file is mounted to /etc/trino/resource-groups
# configFile: "/resource-groups/resource-groups.json"
# # If you use pvc as the type, you have to specify the pvcName field:
# pvcName: resource-groups-pvc
# pvcStorage: 50G
#pvcStorageClassName: glusterfs
# # If you use pvc as the type, you can specify the name of the volume with the pvcVolumeName:
# pvcVolumeName:
# # If you use configmap as the type, you have to specify the rules field:
# rules:
# resource-groups.json: |-
# {
# "rootGroups": [
# {
# "name": "global",
# "softMemoryLimit": "80%",
# "hardConcurrencyLimit": 100,
# "maxQueued": 1000,
# "schedulingPolicy": "weighted",
# "jmxExport": true,
# "subGroups": [
# {
# "name": "data_definition",
# "softMemoryLimit": "10%",
# "hardConcurrencyLimit": 5,
# "maxQueued": 100,
# "schedulingWeight": 1
# },
# {
# "name": "adhoc",
# "softMemoryLimit": "10%",
# "hardConcurrencyLimit": 50,
# "maxQueued": 1,
# "schedulingWeight": 10,
# "subGroups": [
# {
# "name": "other",
# "softMemoryLimit": "10%",
# "hardConcurrencyLimit": 2,
# "maxQueued": 1,
# "schedulingWeight": 10,
# "schedulingPolicy": "weighted_fair",
# "subGroups": [
# {
# "name": "${USER}",
# "softMemoryLimit": "10%",
# "hardConcurrencyLimit": 1,
# "maxQueued": 100
# }
# ]
# },
# {
# "name": "bi-${toolname}",
# "softMemoryLimit": "10%",
# "hardConcurrencyLimit": 10,
# "maxQueued": 100,
# "schedulingWeight": 10,
# "schedulingPolicy": "weighted_fair",
# "subGroups": [
# {
# "name": "${USER}",
# "softMemoryLimit": "10%",
# "hardConcurrencyLimit": 3,
# "maxQueued": 10
# }
# ]
# }
# ]
# },
# {
# "name": "pipeline",
# "softMemoryLimit": "80%",
# "hardConcurrencyLimit": 45,
# "maxQueued": 100,
# "schedulingWeight": 1,
# "jmxExport": true,
# "subGroups": [
# {
# "name": "pipeline_${USER}",
# "softMemoryLimit": "50%",
# "hardConcurrencyLimit": 5,
# "maxQueued": 100
# }
# ]
# }
# ]
# },
# {
# "name": "admin",
# "softMemoryLimit": "100%",
# "hardConcurrencyLimit": 50,
# "maxQueued": 100,
# "schedulingPolicy": "query_priority",
# "jmxExport": true
# }
# ],
# "selectors": [
# {
# "user": "bob",
# "group": "admin"
# },
# {
# "userGroup": "admin",
# "group": "admin"
# },
# {
# "source": ".*pipeline.*",
# "queryType": "DATA_DEFINITION",
# "group": "global.data_definition"
# },
# {
# "source": ".*pipeline.*",
# "group": "global.pipeline.pipeline_${USER}"
# },
# {
# "source": "jdbc#(?.*)",
# "clientTags": ["hipri"],
# "group": "global.adhoc.bi-${toolname}.${USER}"
# },
# {
# "group": "global.adhoc.other.${USER}"
# }
# ],
# "cpuQuotaPeriod": "1h"
# }
# If you want to provide your own secrets resource, you can use this field:
# connectorsSecret:
connectors: {}
# Connectors configuration usually contains sensitive data (like passwords, usernames, ...)
# so data is stored in a secret
# mysql.properties: |-
# connector.name=mysql
# connection-url=jdbc:mysql://mysqlserver:3306
# connection-user=mysqluser
# connection-password=mysqlpassword
# elk.properties: |-
# connector.name=elasticsearch
# elasticsearch.host=elasticsearchserver
# elasticsearch.port=9200
# elasticsearch.default-schema-name=default
# elasticsearch.security=PASSWORD
# elasticsearch.auth.user=elastiuser
# elasticsearch.auth.password=elasticpassword
# elasticsearch.tls.enabled=true
schemas: {}
# Custom schemas that will be mounted in /etc/trino/schemas
# testschema.json: |-
# {
# "tableName": "testtable",
# "schemaName": "testschema",
# "topicName": "testtopic",
# "key": {
# "dataFormat": "json",
# "fields": [
# {
# "name": "_key",
# "dataFormat": "VARCHAR",
# "type": "VARCHAR",
# "hidden": "false"
# }
# ]
# },
# "message": {
# "dataFormat": "json",
# "fields": [
# {
# "name": "id",
# "mapping": "id",
# "type": "BIGINT"
# },
# {
# "name": "test_field",
# "mapping": "test_field",
# "type": "VARCHAR"
# }
# ]
# }
# }
service:
type: NodePort ####修改端口访问类型为nodeprot
resources: {}
# We usually recommend not to specify default resources and to leave this as a conscious
# choice for the user. This also increases chances charts run on environments with little
# resources, such as Minikube. If you do want to specify resources, uncomment the following
# lines, adjust them as necessary, and remove the curly braces after 'resources:'.
# limits:
# cpu: 100m
# memory: 128Mi
# requests:
# cpu: 100m
# memory: 128Mi
nodeSelector: {}
tolerations: []
affinity: {}
secretMounts: []
# - name: ssl-cert
# secretName: ssl-cert
# path: /usr/local/certs/
serviceAccount:
# Specifies whether a service account should be created
create: true
# Annotations to add to the service account
annotations: {}
# The name of the service account to use.
# If not set and create is true, a name is generated using the fullname template
name: ""
podAnnotations: {}
- 离线镜像制作
#在联网的机器上下载
[root@master-2 ~]# docker pull trinodb/trino:378
#打包镜像
[root@master-2 ~]# docker save -o trino.tar trinodb/trino:378
- 将离线包上传到离线环境机器
#导入镜像
[root@k8s-master-1 ~]# docker load -i trino.tar
#上传镜像
[root@k8s-master-1 ~]# docker tag trinodb/trino:378 dockerhub.dsj.com:18443/library/trino:375
[root@k8s-master-1 ~]# docker push dockerhub.dsj.com:18443/library/trino:375
- 部署安装
[root@k8s-master-1 trino-1.14.0]# pwd
/root/yaml/trino-1.14.0
[root@k8s-master-1 trino-1.14.0]# ls
Chart.yaml README.md templates values.yaml
[root@k8s-master-1 trino-1.14.0]# helm install --name trino --namespace trino .
#查看已安装的项目
[root@k8s-master-1 trino-1.14.0]# helm list
NAME NAMESPACE REVISION UPDATED STATUS CHART APP VERSION
dolphinscheduler default 1 2022-03-25 13:48:14.477718902 +0530 IST deployed dolphinscheduler-2.0.3 2.0.5
dremio default 1 2022-03-25 13:17:22.182284837 +0530 IST deployed dremio-2.0.2
flink default 2 2022-05-25 06:07:20.941169711 +0530 IST deployed flink-0.2.0 1.11.2
trino default 1 2022-04-21 08:33:53.005101636 +0530 IST deployed trino-1.14.0 375
#卸载trino
[root@k8s-master-1 trino-1.14.0]# helm uninstall trino
#更新helm项目
[root@k8s-master-1 trino-1.14.0]# helm upgrade trino .
- 查看部署结果
#查看部署的pod
[root@k8s-master-1 trino-1.14.0]# kubectl get pod
NAME READY STATUS RESTARTS AGE
trino-coordinator-7fbbcf646c-kxjqx 1/1 Running 0 34d
trino-worker-777c758c6b-2lq2j 1/1 Running 0 7d5h
trino-worker-777c758c6b-2tw6c 1/1 Running 0 7d5h
trino-worker-777c758c6b-g55gh 1/1 Running 0 7d5h
trino-worker-777c758c6b-gj5jc 1/1 Running 0 7d5h
trino-worker-777c758c6b-rnxw4 1/1 Running 0 7d5h
#查看部署的svc
[root@k8s-master-1 trino-1.14.0]# kubectl get svc
trino NodePort 10.233.43.226 <none> 8080:30653/TCP 34d
#查看部署的comfigmap
[root@k8s-master-1 dolphinscheduler]# kubectl get cm
trino-coordinator 4 34d
trino-worker 4 34d
trino-worker-health-check 1 34d
dremio
dremio使用Helm部署方案，参考：https://artifacthub.io/packages/helm/statcan/dremio
- 在联网的机器上配置helm源，并下载离线包
#添加helm源
[root@master-2 ~]# helm repo add statcan https://statcan.github.io/charts
#下载dremio离线包
[root@master-2 ~]# helm pull statcan/dremio --version 2.0.2
dremio-2.0.2.tgz
- 修改配置
[root@master-2 ~]# cd dremio
[root@master-2 dremio]# ls
Chart.yaml config docs LICENSE.md README.md templates values.yaml
[root@master-2 dremio]# vi values.yaml
# The Dremio image used in the cluster.
#
# It is *highly* recommended to update the version tag to
# the version that you are using. This will ensure that all
# the pods are using the same version of the software.
#
# Using latest will cause Dremio to potentially upgrade versions
# automatically during redeployments and may negatively impact
# the cluster.
image: dockerhub.dsj.com:18443/library/dremio-oss ###修改镜像tag为私有仓库镜像
imageTag: latest
# Annotations, labels, node selectors, and tolerations
#
# annotations: Annotations are applied to the StatefulSets that are deployed.
# podAnnotations: Pod annotations are applied to the pods that are deployed.
# labels: Labels operate much like annotations.
# podLabels: Labels that are applied to the pods that are deployed.
# nodeSelector: Target pods to nodes based on labels set on the nodes. For more
# information, see https://kubernetes.io/docs/concepts/configuration/assign-pod-node/#nodese
# tolerations: Tolerations allow the negation of taints that have been applied to some set of
# in the Kubernetes cluster so that pods can be scheduled on those tainted nodes.
annotations: {}
podAnnotations: {}
labels: {}
podLabels: {}
nodeSelector: {}
tolerations: []
# Dremio Coordinator
coordinator:
# CPU & Memory
# Memory allocated to each coordinator, expressed in MB.
# CPU allocated to each coordinator, expressed in CPU cores.
cpu: 15
memory: 122800
# This count is used for slave coordinators only.
# The total number of coordinators will always be count + 1.
count: 0
# Coordinator data volume size (applies to the master coordinator only).
# In most managed Kubernetes environments (AKS, GKE, etc.), the size of the disk has a direc
# the provisioned and maximum performance of the disk.
volumeSize: 128Gi
# Kubernetes Service Account
# Uncomment below to use a custom Kubernetes service account for the coordinator.
#serviceAccount: ""
# Uncomment the lines below to use a custom set of extra startup parameters for the coordina
#extraStartParams: >-
# -DsomeKey=someValue
# Extra Init Containers
# Uncomment the below lines to use a custom set of extra init containers for the coordinator
#extraInitContainers: |
# - name: extra-init-container
# image: {{ $.Values.image }}:{{ $.Values.imageTag }}
# command: ["echo", "Hello World"]
# Extra Volumes
# Uncomment below to use a custom set of extra volumes for the coordinator.
#extraVolumes: []
# Extra Volume Mounts
# Uncomment below to use a custom set of extra volume mounts for the coordinator.
#extraVolumeMounts: []
# Uncomment this value to use a different storage class for the coordinator.
#storageClass:
# These values, when defined, override the provided shared annotations, labels, node selecto
# Uncomment only if you are trying to override the chart's shared values.
#annotations: {}
#podAnnotations: {}
#labels: {}
#podLabels: {}
#nodeSelector: {}
#tolerations: []
# Web UI
web:
port: 9047
tls:
# To enable TLS for the web UI, set the enabled flag to true and provide
# the appropriate Kubernetes TLS secret.
enabled: false
# To create a TLS secret, use the following command:
# kubectl create secret tls ${TLS_SECRET_NAME} --key ${KEY_FILE} --cert ${CERT_FILE}
secret: dremio-tls-secret-ui
# ODBC/JDBC Client
client:
port: 31010
tls:
# To enable TLS for the client endpoints, set the enabled flag to
# true and provide the appropriate Kubernetes TLS secret. Client
# endpoint encryption is available only on Dremio Enterprise
# Edition and should not be enabled otherwise.
enabled: false
# To create a TLS secret, use the following command:
# kubectl create secret tls ${TLS_SECRET_NAME} --key ${KEY_FILE} --cert ${CERT_FILE}
secret: dremio-tls-secret-client
# Flight Client
flight:
port: 32010
tls:
# To enable TLS for the Flight endpoints, set the enabled flag to
# true and provide the appropriate Kubernetes TLS secret.
enabled: false
# To create a TLS secret, use the following command:
# kubectl create secret tls ${TLS_SECRET_NAME} --key ${KEY_FILE} --cert ${CERT_FILE}
secret: dremio-tls-secret-flight
# Dremio Executor
executor:
# CPU & Memory
# Memory allocated to each executor, expressed in MB.
# CPU allocated to each executor, expressed in CPU cores.
cpu: 15
memory: 122800
# Engines
# Engine names be 47 characters or less and be lowercase alphanumber characters or '-'.
# Note: The number of executor pods will be the length of the array below * count.
engines: ["default"]
count: 3
# Executor volume size.
volumeSize: 128Gi
# Kubernetes Service Account
# Uncomment below to use a custom Kubernetes service account for executors.
#serviceAccount: ""
# Uncomment the lines below to use a custom set of extra startup parameters for executors.
#extraStartParams: >-
# -DsomeKey=someValue
# Extra Init Containers
# Uncomment the below lines to use a custom set of extra init containers for executors.
#extraInitContainers: |
# - name: extra-init-container
# image: {{ $.Values.image }}:{{ $.Values.imageTag }}
# command: ["echo", "Hello World"]
# Extra Volumes
# Uncomment below to use a custom set of extra volumes for executors.
#extraVolumes: []
# Extra Volume Mounts
# Uncomment below to use a custom set of extra volume mounts for executors.
#extraVolumeMounts: []
# Uncomment this value to use a different storage class for executors.
#storageClass:
# Dremio C3
# Designed for use with NVMe storage devices, performance may be impacted when using
# persistent volume storage that resides far from the physical node.
cloudCache:
enabled: true
# Uncomment this value to use a different storage class for C3.
#storageClass:
# Volumes to use for C3, specify multiple volumes if there are more than one local
# NVMe disk that you would like to use for C3.
#
# The below example shows all valid options that can be provided for a volume.
# volumes:
# - name: "dremio-default-c3"
# size: 100Gi
# storageClass: "local-nvme"
volumes:
- size: 100Gi
# These values, when defined and not empty, override the provided shared annotations, labels
# Uncomment only if you are trying to override the chart's shared values.
#annotations: {}
#podAnnotations: {}
#labels: {}
#podLabels: {}
#nodeSelector: {}
#tolerations: []
# Engine Overrides
#
# The settings above are overridable on a per-engine basis. These
# values here will take precedence and *override* the configured values
# on a per-engine basis. Engine overrides are matched with the name in the above
# list of engines.
#
# Special per-engine parameters:
# volumeClaimName: For each engine, you can optionally specify a value for the volume claim
# this value must be unique to each engine or may cause unintended consequences. This valu
# primarily intended for transitioning an existing single engine to a multi-engine configu
# where there may already have been existing persistent volumes.
#
# The below example shows all valid options that can be overridden on a per-engine basis.
# engineOverride:
# engineNameHere:
# cpu: 1
# memory: 122800
#
# count: 1
#
# annotations: {}
# podAnnotations: {}
# labels: {}
# podLabels: {}
# nodeSelector: {}
# tolerations: []
#
# serviceAccount: ""
#
# extraStartParams: >-
# -DsomeCustomKey=someCustomValue
#
# extraInitContainers: |
# - name: extra-init-container
# image: {{ $.Values.image }}:{{ $.Values.imageTag }}
# command: ["echo", "Hello World"]
#
#
# extraVolumes: []
# extraVolumeMounts: []
#
# volumeSize: 50Gi
# storageClass: managed-premium
# volumeClaimName: dremio-default-executor-volume
#
# cloudCache:
# enabled: true
#
# storageClass: ""
#
# volumes:
# - name: "default-c3"
# size: 100Gi
# storageClass: ""
# Zookeeper
zookeeper:
# The Zookeeper image used in the cluster.
image: dockerhub.dsj.com:18443/library/kubernetes-zookeeper ###修改镜像tag为私有仓库镜像
imageTag: 1.0-3.4.10
# CPU & Memory
# Memory allocated to each zookeeper, expressed in MB.
# CPU allocated to each zookeeper, expressed in CPU cores.
cpu: 0.5
memory: 1024
count: 3
volumeSize: 50Gi ###修改zk存储卷大小
# Kubernetes Service Account
# Uncomment below to use a custom Kubernetes service account for Zookeeper.
#serviceAccount: ""
# Uncomment this value to use a different storage class for Zookeeper.
#storageClass:
# These values, when defined, override the provided shared annotations, labels, node selecto
# Uncomment only if you are trying to override the chart's shared values.
#annotations: {}
#podAnnotations: {}
#labels: {}
#podLabels: {}
#nodeSelector: {}
#tolerations: []
# Control where uploaded files are stored for Dremio.
# For more information, see https://docs.dremio.com/deployment/distributed-storage.html
distStorage:
# The supported distributed storage types are: local, aws, azure, gcp, or azureStorage.
#
# local: Not recommended for production use. When using local, dist-caching is disabled.
# aws: AWS S3, additional parameters required, see "aws" section.
# azure: ADLS Gen 1, additional parameters required, see "azure" section.
# azureStorage: Azure Storage Gen2, additional paramters required, see "azureStorage" sectio
# gcp: Google Cloud Storage, additional parameters required, see "gcp" section.
type: "local"
# Google Cloud Storage
#
# bucketName: The name of the GCS bucket for distributed storage.
# path: The path, relative to the bucket, to create Dremio's directories.
# authentication: Valid types are: serviceAccountKeys or auto.
# - When using "auto" authentication, Dremio uses Google Application Default Credentials t
# authenticate. This is platform dependent and may not be available in all Kubernetes cl
# - Note: When using a GCS bucket on GKE, we recommend enabling Workload Identity and conf
# a Kubernetes Service Accountfor Dremio with an associated workload identity that
# has access to the GCS bucket.
# credentials: If using serviceAccountKeys authentication, uncomment the credentials section
gcp:
bucketName: "GCS Bucket Name"
path: "/"
authentication: "auto"
# If using serviceAccountKeys, uncomment the section below, referencing the values from
# the service account credentials JSON file that you generated:
#
#credentials:
# projectId: GCP Project ID that the Google Cloud Storage bucket belongs to.
# clientId: Client ID for the service account that has access to Google Cloud Storage buc
# clientEmail: Email for the service account that has access to Google Cloud Storage buck
# privateKeyId: Private key ID for the service account that has access to Google Cloud St
# privateKey: |-
# -----BEGIN PRIVATE KEY-----\n Replace me with full private key value. \n-----END PRIV
# Extra Properties
# Use the extra properties block to provide additional parameters to configure the distrib
# storage in the generated core-site.xml file.
#
#extraProperties: |
# - 离线镜像制作
#在联网的机器上下载
[root@master-2 ~]# docker pull dremio/dremio-oss
[root@master-2 ~]# docker pull k8s.gcr.io/kubernetes-zookeeper:1.0-3.4.10
#打包镜像
[root@master-2 ~]# docker save -o dremio.tar dremio/dremio-oss:latest
[root@master-2 ~]# docker save -o zookeeper-1.0-3.4.10.tar k8s.gcr.io/kubernetes-zookeeper:1.0-3.4.10
- 将离线包上传到离线环境机器
#导入镜像
[root@k8s-master-1 ~]# docker load -i dremio.tar
[root@k8s-master-1 ~]# docker load -i zookeeper-1.0-3.4.10.tar
#上传镜像
[root@k8s-master-1 ~]# docker tag dremio/dremio-oss:latest dockerhub.dsj.com:18443/library/dremio-oss:latest
[root@k8s-master-1 ~]# docker push dockerhub.dsj.com:18443/library/dremio-oss:latest
[root@k8s-master-1 ~]# docker tag k8s.gcr.io/kubernetes-zookeeper:1.0-3.4.10 dockerhub.dsj.com:18443/library/kubernetes-zookeeper:1.0-3.4.10
[root@k8s-master-1 ~]# docker push dockerhub.dsj.com:18443/library/kubernetes-zookeeper:1.0-3.4.10
- 部署安装
[root@k8s-master-1 dremio]# pwd
/root/yaml/dremio
[root@k8s-master-1 dremio]# ls
Chart.yaml config docs LICENSE.md README.md templates values.yaml
[root@k8s-master-1 dremio]# helm install --name dremio --namespace dremio .
#查看已安装的项目
[root@k8s-master-1 dremio]# helm list
NAME NAMESPACE REVISION UPDATED STATUS CHART APP VERSION
dolphinscheduler default 1 2022-03-25 13:48:14.477718902 +0530 IST deployed dolphinscheduler-2.0.3 2.0.5
dremio default 1 2022-03-25 13:17:22.182284837 +0530 IST deployed dremio-2.0.2
flink default 2 2022-05-25 06:07:20.941169711 +0530 IST deployed flink-0.2.0 1.11.2
trino default 1 2022-04-21 08:33:53.005101636 +0530 IST deployed trino-1.14.0 375
#卸载dremio
[root@k8s-master-1 dremio]# helm uninstall dremio
#更新helm项目
[root@k8s-master-1 dremio]# helm upgrade dremio .
- 查看安装结果
[root@k8s-master-1 dremio]# kubectl get pod
NAME READY STATUS RESTARTS AGE
dremio-executor-0 1/1 Running 0 16h
dremio-executor-1 1/1 Running 0 16h
dremio-executor-2 1/1 Running 0 16h
dremio-master-0 1/1 Running 0 16h
[root@k8s-master-1 dremio]# kubectl get pvc
dremio-default-executor-c3-0-dremio-executor-0 Bound pvc-fc0afdf3-a80f-4492-b3bd-04e9b1afe4ea 100Gi RWO glusterfs 61d
dremio-default-executor-c3-0-dremio-executor-1 Bound pvc-193c7a04-655d-4ccb-9f43-0790a15ef825 100Gi RWO glusterfs 61d
dremio-default-executor-c3-0-dremio-executor-2 Bound pvc-5766159d-6d33-4f65-ae54-3d862273a34f 100Gi RWO glusterfs 61d
dremio-default-executor-volume-dremio-executor-0 Bound pvc-f9e4da84-21b1-445f-9ba0-2785fbc074e3 128Gi RWO glusterfs 61d
dremio-default-executor-volume-dremio-executor-1 Bound pvc-73cbdbf7-3523-4aa5-bf76-5331990dbc82 128Gi RWO glusterfs 61d
dremio-default-executor-volume-dremio-executor-2 Bound pvc-299f4ba8-8c87-4648-9137-e14b4a88c119 128Gi RWO glusterfs 61d
dremio-master-volume-dremio-master-0 Bound pvc-d9ed1bdb-eed2-4963-ae94-739019e5f10b 128Gi RWO glusterfs 61d
[root@k8s-master-1 dremio]# kubectl get svc
dremio-client LoadBalancer 10.233.60.72 <pending> 31010:31732/TCP,9047:31867/TCP,32010:30424/TCP 16h
dremio-cluster-pod ClusterIP None <none> 9999/TCP 16h
[root@k8s-master-1 dremio]# kubectl get cm
dremio-config 6 16h
dremio-hive2-config 1 16h
dremio-hive3-config 1 16h
dolphinscheduler
dolphinscheduler使用Helm部署方案，参考：https://dolphinscheduler.apache.org/zh-cn/docs/2.0.5/user_doc/guide/installation/kubernetes.html
- 在联网的机器上下载离线包
#下载离线源码
[root@master-2 ~]# wget https://dlcdn.apache.org/dolphinscheduler/2.0.5/apache-dolphinscheduler-2.0.5-src.tar.gz
[root@master-2 ~]# cd apache-dolphinscheduler-2.0.5-src/docker/kubernetes/dolphinscheduler
[root@master-2 ~]# helm repo add bitnami https://charts.bitnami.com/bitnami
[root@master-2 ~]# helm dependency update .
- 修改配置
[root@k8s-master-1 dolphinscheduler]# vim values.yaml
#
# Licensed to the Apache Software Foundation (ASF) under one or more
# contributor license agreements. See the NOTICE file distributed with
# this work for additional information regarding copyright ownership.
# The ASF licenses this file to You under the Apache License, Version 2.0
# (the "License"); you may not use this file except in compliance with
# the License. You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
#
# Default values for dolphinscheduler-chart.
# This is a YAML-formatted file.
# Declare variables to be passed into your templates.
timezone: "Asia/Shanghai"
image:
repository: "dockerhub.dsj.com:18443/library/dolphinscheduler" ##修改镜像tag为私有仓库
tag: "2.0.5"
pullPolicy: "Always" ##修改镜像拉取策略
pullSecret: ""
## If not exists external database, by default, Dolphinscheduler's database will use it.
postgresql:
enabled: true
postgresqlUsername: "root"
postgresqlPassword: "root"
postgresqlDatabase: "dolphinscheduler"
persistence:
enabled: true
size: "100Gi" ##调整pvc存储卷大小
storageClass: "glusterfs" ##修改动态存储为glusterfs
## If exists external database, and set postgresql.enable value to false.
## external database will be used, otherwise Dolphinscheduler's database will be used.
externalDatabase:
type: "postgresql"
driver: "org.postgresql.Driver"
host: "localhost"
port: "5432"
username: "root"
password: "root"
database: "dolphinscheduler"
params: "characterEncoding=utf8"
## If not exists external zookeeper, by default, Dolphinscheduler's zookeeper will use it.
zookeeper:
enabled: true
tickTime: 3000
maxSessionTimeout: 60000
initLimit: 300
maxClientCnxns: 2000
fourlwCommandsWhitelist: "srvr,ruok,wchs,cons"
persistence:
enabled: true
size: "100Gi" ##调整存储卷大小
storageClass: "glusterfs" ##修改动态存储为glusterfs
zookeeperRoot: "/dolphinscheduler"
## If exists external zookeeper, and set zookeeper.enable value to false.
## If zookeeper.enable is false, Dolphinscheduler's zookeeper will use it.
externalZookeeper:
zookeeperQuorum: "127.0.0.1:2181"
zookeeperRoot: "/dolphinscheduler"
common:
## Configmap
configmap:
DOLPHINSCHEDULER_OPTS: ""
DATA_BASEDIR_PATH: "/tmp/dolphinscheduler"
RESOURCE_STORAGE_TYPE: "HDFS"
RESOURCE_UPLOAD_PATH: "/dolphinscheduler"
FS_DEFAULT_FS: "file:///"
FS_S3A_ENDPOINT: "s3.xxx.amazonaws.com"
FS_S3A_ACCESS_KEY: "xxxxxxx"
FS_S3A_SECRET_KEY: "xxxxxxx"
HADOOP_SECURITY_AUTHENTICATION_STARTUP_STATE: "false"
JAVA_SECURITY_KRB5_CONF_PATH: "/opt/krb5.conf"
LOGIN_USER_KEYTAB_USERNAME: "[email protected]"
LOGIN_USER_KEYTAB_PATH: "/opt/hdfs.keytab"
KERBEROS_EXPIRE_TIME: "2"
HDFS_ROOT_USER: "hdfs"
RESOURCE_MANAGER_HTTPADDRESS_PORT: "8088"
YARN_RESOURCEMANAGER_HA_RM_IDS: ""
YARN_APPLICATION_STATUS_ADDRESS: "http://ds1:%s/ws/v1/cluster/apps/%s"
YARN_JOB_HISTORY_STATUS_ADDRESS: "http://ds1:19888/ws/v1/history/mapreduce/jobs/%s"
DATASOURCE_ENCRYPTION_ENABLE: "false"
DATASOURCE_ENCRYPTION_SALT: "!@#$%^&*"
SUDO_ENABLE: "true"
# dolphinscheduler env
HADOOP_HOME: "/opt/soft/hadoop"
HADOOP_CONF_DIR: "/opt/soft/hadoop/etc/hadoop"
SPARK_HOME1: "/opt/soft/spark1"
SPARK_HOME2: "/opt/soft/spark2"
PYTHON_HOME: "/usr/bin/python"
JAVA_HOME: "/usr/local/openjdk-8"
HIVE_HOME: "/opt/soft/hive"
FLINK_HOME: "/opt/soft/flink"
DATAX_HOME: "/opt/soft/datax"
SESSION_TIMEOUT_MS: 60000
ORG_QUARTZ_THREADPOOL_THREADCOUNT: "25"
ORG_QUARTZ_SCHEDULER_BATCHTRIGGERACQUISTITIONMAXCOUNT: "1"
## Shared storage persistence mounted into api, master and worker, such as Hadoop, Spark, Flink and DataX binary package
sharedStoragePersistence:
enabled: true
mountPath: "/opt/soft"
accessModes:
- "ReadWriteMany"
## storageClassName must support the access mode: ReadWriteMany
storageClassName: "glusterfs" ###修改动态存储为glusterfs
storage: "100Gi" ###调整pvc存储卷大小
## If RESOURCE_STORAGE_TYPE is HDFS and FS_DEFAULT_FS is file:///, fsFileResourcePersistence should be enabled for resource storage
fsFileResourcePersistence:
enabled: true ###开启
accessModes:
- "ReadWriteMany"
## storageClassName must support the access mode: ReadWriteMany
storageClassName: "glusterfs" ###修改动态存储为glusterfs
storage: "100Gi" ###调整pvc存储卷大小
master:
## PodManagementPolicy controls how pods are created during initial scale up, when replacing pods on nodes, or when scaling down.
podManagementPolicy: "Parallel"
## Replicas is the desired number of replicas of the given Template.
replicas: "3"
## You can use annotations to attach arbitrary non-identifying metadata to objects.
## Clients such as tools and libraries can retrieve this metadata.
annotations: {}
## Affinity is a group of affinity scheduling rules. If specified, the pod's scheduling constraints.
## More info: https://kubernetes.io/docs/reference/generated/kubernetes-api/v1.17/#affinity-v1-core
affinity: {}
## NodeSelector is a selector which must be true for the pod to fit on a node.
## Selector which must match a node's labels for the pod to be scheduled on that node.
## More info: https://kubernetes.io/docs/concepts/configuration/assign-pod-node/
nodeSelector: {}
## Tolerations are appended (excluding duplicates) to pods running with this RuntimeClass during admission,
## effectively unioning the set of nodes tolerated by the pod and the RuntimeClass.
tolerations: []
## Compute Resources required by this container. Cannot be updated.
## More info: https://kubernetes.io/docs/concepts/configuration/manage-compute-resources-container
resources: {}
# resources:
# limits:
# memory: "8Gi"
# cpu: "4"
# requests:
# memory: "2Gi"
# cpu: "500m"
## Configmap
configmap:
LOGGER_SERVER_OPTS: "-Xms512m -Xmx512m -Xmn256m"
MASTER_SERVER_OPTS: "-Xms1g -Xmx1g -Xmn512m"
MASTER_EXEC_THREADS: "100"
MASTER_EXEC_TASK_NUM: "20"
MASTER_DISPATCH_TASK_NUM: "3"
MASTER_HOST_SELECTOR: "LowerWeight"
MASTER_HEARTBEAT_INTERVAL: "10"
MASTER_TASK_COMMIT_RETRYTIMES: "5"
MASTER_TASK_COMMIT_INTERVAL: "1000"
MASTER_MAX_CPULOAD_AVG: "-1"
MASTER_RESERVED_MEMORY: "0.3"
MASTER_FAILOVER_INTERVAL: 10
MASTER_KILL_YARN_JOB_WHEN_HANDLE_FAILOVER: "true"
ORG_QUARTZ_THREADPOOL_THREADCOUNT: "25"
ORG_QUARTZ_SCHEDULER_BATCHTRIGGERACQUISTITIONMAXCOUNT: "1"
MASTER_PERSIST_EVENT_STATE_THREADS: 10
## Periodic probe of container liveness. Container will be restarted if the probe fails. Cannot be updated.
## More info: https://kubernetes.io/docs/concepts/workloads/pods/pod-lifecycle#container-probes
livenessProbe:
enabled: true
initialDelaySeconds: "30"
periodSeconds: "30"
timeoutSeconds: "5"
failureThreshold: "3"
successThreshold: "1"
## Periodic probe of container service readiness. Container will be removed from service endpoints if the probe fails. Cannot be updated.
## More info: https://kubernetes.io/docs/concepts/workloads/pods/pod-lifecycle#container-probes
readinessProbe:
enabled: true
initialDelaySeconds: "30"
periodSeconds: "30"
timeoutSeconds: "5"
failureThreshold: "3"
successThreshold: "1"
## PersistentVolumeClaim represents a reference to a PersistentVolumeClaim in the same namespace.
## The StatefulSet controller is responsible for mapping network identities to claims in a way that maintains the identity of a pod.
## Every claim in this list must have at least one matching (by name) volumeMount in one container in the template.
## A claim in this list takes precedence over any volumes in the template, with the same name.
persistentVolumeClaim:
enabled: true
accessModes:
- "ReadWriteOnce"
storageClassName: "glusterfs" ##修改动态存储为glusterfs
storage: "100Gi" ##修改存储卷pvc
worker:
## PodManagementPolicy controls how pods are created during initial scale up, when replacing pods on nodes, or when scaling down.
podManagementPolicy: "Parallel"
## Replicas is the desired number of replicas of the given Template.
replicas: "3"
## You can use annotations to attach arbitrary non-identifying metadata to objects.
## Clients such as tools and libraries can retrieve this metadata.
annotations: {}
## Affinity is a group of affinity scheduling rules. If specified, the pod's scheduling constraints.
## More info: https://kubernetes.io/docs/reference/generated/kubernetes-api/v1.17/#affinity-v1-core
affinity: {}
## NodeSelector is a selector which must be true for the pod to fit on a node.
## Selector which must match a node's labels for the pod to be scheduled on that node.
## More info: https://kubernetes.io/docs/concepts/configuration/assign-pod-node/
nodeSelector: {}
## Tolerations are appended (excluding duplicates) to pods running with this RuntimeClass during admission,
## effectively unioning the set of nodes tolerated by the pod and the RuntimeClass.
tolerations: []
## Compute Resources required by this container. Cannot be updated.
## More info: https://kubernetes.io/docs/concepts/configuration/manage-compute-resources-container
resources: {}
# resources:
# limits:
# memory: "8Gi"
# cpu: "4"
# requests:
# memory: "2Gi"
# cpu: "500m"
## Configmap
configmap:
LOGGER_SERVER_OPTS: "-Xms512m -Xmx512m -Xmn256m"
WORKER_SERVER_OPTS: "-Xms1g -Xmx1g -Xmn512m"
WORKER_EXEC_THREADS: "100"
WORKER_HEARTBEAT_INTERVAL: "10"
WORKER_HOST_WEIGHT: "100"
WORKER_MAX_CPULOAD_AVG: "-1"
WORKER_RESERVED_MEMORY: "0.3"
WORKER_GROUPS: "default"
WORKER_RETRY_REPORT_TASK_STATUS_INTERVAL: 600
## Periodic probe of container liveness. Container will be restarted if the probe fails. Cannot be updated.
## More info: https://kubernetes.io/docs/concepts/workloads/pods/pod-lifecycle#container-probes
livenessProbe:
enabled: true
initialDelaySeconds: "30"
periodSeconds: "30"
timeoutSeconds: "5"
failureThreshold: "3"
successThreshold: "1"
## Periodic probe of container service readiness. Container will be removed from service endpoints if the probe fails. Cannot be updated.
## More info: https://kubernetes.io/docs/concepts/workloads/pods/pod-lifecycle#container-probes
readinessProbe:
enabled: true
initialDelaySeconds: "30"
periodSeconds: "30"
timeoutSeconds: "5"
failureThreshold: "3"
successThreshold: "1"
## PersistentVolumeClaim represents a reference to a PersistentVolumeClaim in the same namespace.
## The StatefulSet controller is responsible for mapping network identities to claims in a way that maintains the identity of a pod.
## Every claim in this list must have at least one matching (by name) volumeMount in one container in the template.
## A claim in this list takes precedence over any volumes in the template, with the same name.
persistentVolumeClaim:
enabled: true ###开启
## dolphinscheduler data volume
dataPersistentVolume:
enabled: true ###开启
accessModes:
- "ReadWriteOnce"
storageClassName: "glusterfs" ##修改动态存储为glusterfs
storage: "100Gi" ##修改pvc大小
## dolphinscheduler logs volume
logsPersistentVolume:
enabled: true ###开启
accessModes:
- "ReadWriteOnce"
storageClassName: "glusterfs" ##修改动态存储为glusterfs
storage: "100Gi" ##修改pvc大小
alert:
## Number of desired pods. This is a pointer to distinguish between explicit zero and not specified. Defaults to 1.
replicas: "1"
## The deployment strategy to use to replace existing pods with new ones.
strategy:
type: "RollingUpdate"
rollingUpdate:
maxSurge: "25%"
maxUnavailable: "25%"
## You can use annotations to attach arbitrary non-identifying metadata to objects.
## Clients such as tools and libraries can retrieve this metadata.
annotations: {}
## NodeSelector is a selector which must be true for the pod to fit on a node.
## Selector which must match a node's labels for the pod to be scheduled on that node.
## More info: https://kubernetes.io/docs/concepts/configuration/assign-pod-node/
affinity: {}
## Compute Resources required by this container. Cannot be updated.
## More info: https://kubernetes.io/docs/concepts/configuration/manage-compute-resources-container
nodeSelector: {}
## Tolerations are appended (excluding duplicates) to pods running with this RuntimeClass during admission,
## effectively unioning the set of nodes tolerated by the pod and the RuntimeClass.
tolerations: []
## Affinity is a group of affinity scheduling rules. If specified, the pod's scheduling constraints.
## More info: https://kubernetes.io/docs/reference/generated/kubernetes-api/v1.17/#affinity-v1-core
resources: {}
# resources:
# limits:
# memory: "2Gi"
# cpu: "1"
# requests:
# memory: "1Gi"
# cpu: "500m"
## Configmap
configmap:
ALERT_SERVER_OPTS: "-Xms512m -Xmx512m -Xmn256m"
## Periodic probe of container liveness. Container will be restarted if the probe fails. Cannot be updated.
## More info: https://kubernetes.io/docs/concepts/workloads/pods/pod-lifecycle#container-probes
livenessProbe:
enabled: true
initialDelaySeconds: "30"
periodSeconds: "30"
timeoutSeconds: "5"
failureThreshold: "3"
successThreshold: "1"
## Periodic probe of container service readiness. Container will be removed from service endpoints if the probe fails. Cannot be updated.
## More info: https://kubernetes.io/docs/concepts/workloads/pods/pod-lifecycle#container-probes
readinessProbe:
enabled: true
initialDelaySeconds: "30"
periodSeconds: "30"
timeoutSeconds: "5"
failureThreshold: "3"
successThreshold: "1"
## PersistentVolumeClaim represents a reference to a PersistentVolumeClaim in the same namespace.
## More info: https://kubernetes.io/docs/concepts/storage/persistent-volumes#persistentvolumeclaims
persistentVolumeClaim:
enabled: true ##开启
accessModes:
- "ReadWriteOnce"
storageClassName: "glusterfs" ###修改动态存储为glusterfs
storage: "100Gi" ###调整pvc大小
api:
## Number of desired pods. This is a pointer to distinguish between explicit zero and not specified. Defaults to 1.
replicas: "1"
## The deployment strategy to use to replace existing pods with new ones.
strategy:
type: "RollingUpdate"
rollingUpdate:
maxSurge: "25%"
maxUnavailable: "25%"
## You can use annotations to attach arbitrary non-identifying metadata to objects.
## Clients such as tools and libraries can retrieve this metadata.
annotations: {}
## NodeSelector is a selector which must be true for the pod to fit on a node.
## Selector which must match a node's labels for the pod to be scheduled on that node.
## More info: https://kubernetes.io/docs/concepts/configuration/assign-pod-node/
affinity: {}
## Compute Resources required by this container. Cannot be updated.
## More info: https://kubernetes.io/docs/concepts/configuration/manage-compute-resources-container
nodeSelector: {}
## Tolerations are appended (excluding duplicates) to pods running with this RuntimeClass during admission,
## effectively unioning the set of nodes tolerated by the pod and the RuntimeClass.
tolerations: []
## Affinity is a group of affinity scheduling rules. If specified, the pod's scheduling constraints.
## More info: https://kubernetes.io/docs/reference/generated/kubernetes-api/v1.17/#affinity-v1-core
resources: {}
# resources:
# limits:
# memory: "2Gi"
# cpu: "1"
# requests:
# memory: "1Gi"
# cpu: "500m"
## Configmap
configmap:
API_SERVER_OPTS: "-Xms512m -Xmx512m -Xmn256m"
## Periodic probe of container liveness. Container will be restarted if the probe fails. Cannot be updated.
## More info: https://kubernetes.io/docs/concepts/workloads/pods/pod-lifecycle#container-probes
livenessProbe:
enabled: true
initialDelaySeconds: "30"
periodSeconds: "30"
timeoutSeconds: "5"
failureThreshold: "3"
successThreshold: "1"
## Periodic probe of container service readiness. Container will be removed from service endpoints if the probe fails. Cannot be updated.
## More info: https://kubernetes.io/docs/concepts/workloads/pods/pod-lifecycle#container-probes
readinessProbe:
enabled: true
initialDelaySeconds: "30"
periodSeconds: "30"
timeoutSeconds: "5"
failureThreshold: "3"
successThreshold: "1"
## PersistentVolumeClaim represents a reference to a PersistentVolumeClaim in the same namespace.
## More info: https://kubernetes.io/docs/concepts/storage/persistent-volumes#persistentvolumeclaims
persistentVolumeClaim:
enabled: true ###开启
accessModes:
- "ReadWriteOnce"
storageClassName: "glusterfs" ###修改动态存储为glusterfs
storage: "100Gi" ###调整pvc卷大小
service:
## type determines how the Service is exposed. Defaults to ClusterIP. Valid options are ExternalName, ClusterIP, NodePort, and LoadBalancer
type: "NodePort" ##修改service类型为nodeport
## clusterIP is the IP address of the service and is usually assigned randomly by the master
clusterIP: ""
## nodePort is the port on each node on which this service is exposed when type=NodePort
nodePort: "30045" ##自定义端口
## externalIPs is a list of IP addresses for which nodes in the cluster will also accept traffic for this service
externalIPs: []
## externalName is the external reference that kubedns or equivalent will return as a CNAME record for this service, requires Type to be ExternalName
externalName: ""
## loadBalancerIP when service.type is LoadBalancer. LoadBalancer will get created with the IP specified in this field
loadBalancerIP: ""
## annotations may need to be set when service.type is LoadBalancer
## service.beta.kubernetes.io/aws-load-balancer-ssl-cert: arn:aws:acm:us-east-1:EXAMPLE_CERT
annotations: {}
ingress:
enabled: true
host: "dolphinscheduler.org"
path: "/dolphinscheduler"
tls:
enabled: false
secretName: "dolphinscheduler-tls"
- 开启zookeeper依赖
[root@master-2 dolphinscheduler]# cd charts/
[root@master-2 charts]# tar xf zookeeper-6.5.3.tgz
[root@master-2 charts]# ls
postgresql-10.3.18.tgz zookeeper zookeeper-6.5.3.tgz
[root@master-2 charts]# cd zookeeper
- 修改配置文件
[root@master-2 zookeeper]# vim values.yaml
image:
registry: dockerhub.dsj.com:18443
repository: library/zookeeper
tag: 3.6.2-debian-10-r185
## Specify a imagePullPolicy
## Defaults to 'Always' if image tag is 'latest', else set to 'IfNotPresent'
## ref: http://kubernetes.io/docs/user-guide/images/#pre-pulling-images
##
pullPolicy: Always
-----------------------------------------------------------
- 开启postgresql依赖
[root@master-2 dolphinscheduler]# cd charts/
[root@master-2 charts]# ls
postgresql postgresql-10.3.18.tgz zookeeper zookeeper-6.5.3.tgz
[root@master-2 charts]# cd postgresql
[root@master-2 postgresql]# ls
Chart.lock charts Chart.yaml ci files README.md templates values.schema.json values.yaml
- 修改配置文件
[root@k8s-master-1 postgresql]# vim values.yaml
image:
registry: dockerhub.dsj.com:18443
repository: library/postgresql
tag: 11.11.0-debian-10-r71
## Specify a imagePullPolicy
## Defaults to 'Always' if image tag is 'latest', else set to 'IfNotPresent'
## ref: http://kubernetes.io/docs/user-guide/images/#pre-pulling-images
##
pullPolicy: Always
------------------------------------------------------
- 离线镜像制作
#在联网的机器上下载
[root@master-2 ~]# docker pull apache/dolphinscheduler:2.0.5
[root@master-2 ~]# docker pull docker.io/bitnami/zookeeper:3.6.2-debian-10-r185
[root@master-2 ~]# docker pull docker.io/bitnami/postgresql:11.11.0-debian-10-r71
#打包镜像
[root@master-2 ~]# docker save -o dolphinscheduler.tar apache/dolphinscheduler:2.0.5
[root@master-2 ~]# docker save -o zookeeper-3.6.2-debian-10-r185.tar docker.io/bitnami/zookeeper:3.6.2-debian-10-r185
[root@master-2 ~]# docker save -o postgresql-11.11.0-debian-10-r71.tar docker.io/bitnami/postgresql:11.11.0-debian-10-r71
- 将离线包上传到离线环境机器
#导入镜像
[root@k8s-master-1 ~]# docker load -i dolphinscheduler.tar
[root@k8s-master-1 ~]# docker load -i zookeeper-3.6.2-debian-10-r185.tar
[root@k8s-master-1 ~]# docker load -i postgresql-11.11.0-debian-10-r71.tar
#上传镜像
[root@k8s-master-1 ~]# docker tag apache/dolphinscheduler:2.0.5 dockerhub.dsj.com:18443/library/dolphinscheduler:2.0.5
[root@k8s-master-1 ~]# docker tag docker.io/bitnami/zookeeper:3.6.2-debian-10-r185 dockerhub.dsj.com:18443/library/zookeeper:3.6.2-debian-10-r185
[root@k8s-master-1 ~]# docker tag docker.io/bitnami/postgresql:11.11.0-debian-10-r71 dockerhub.dsj.com:18443/library/postgresql:11.11.0-debian-10-r71
[root@k8s-master-1 ~]# docker push dockerhub.dsj.com:18443/library/dolphinscheduler:2.0.5
[root@k8s-master-1 ~]# docker push dockerhub.dsj.com:18443/library/zookeeper:3.6.2-debian-10-r185
[root@k8s-master-1 ~]# docker push dockerhub.dsj.com:18443/library/postgresql:11.11.0-debian-10-r71
- 部署安装
[root@k8s-master-1 dolphinscheduler]# pwd
/root/yaml/dolphinscheduler
[root@k8s-master-1 dolphinscheduler]# ls
Chart.lock charts Chart.yaml templates values.yaml
[root@k8s-master-1 dolphinscheduler]# helm install --name dolphinscheduler --namespace dolphinscheduler .
#查看已安装的项目
[root@k8s-master-1 dolphinscheduler]# helm list
NAME NAMESPACE REVISION UPDATED STATUS CHART APP VERSION
dolphinscheduler default 1 2022-03-25 13:48:14.477718902 +0530 IST deployed dolphinscheduler-2.0.3 2.0.5
dremio default 1 2022-03-25 13:17:22.182284837 +0530 IST deployed dremio-2.0.2
flink default 2 2022-05-25 06:07:20.941169711 +0530 IST deployed flink-0.2.0 1.11.2
trino default 1 2022-04-21 08:33:53.005101636 +0530 IST deployed trino-1.14.0 375
#卸载dolphinscheduler
[root@k8s-master-1 dolphinscheduler]# helm uninstall dolphinscheduler
#更新helm项目
[root@k8s-master-1 dolphinscheduler]# helm upgrade dolphinscheduler .
- 查看部署结果
[root@k8s-master-1 dolphinscheduler]# kubectl get po
dolphinscheduler-alert-56684c96f-cvvhf 1/1 Running 0 61d
dolphinscheduler-api-75c94dcf57-24jmk 1/1 Running 0 61d
dolphinscheduler-master-0 1/1 Running 0 61d
dolphinscheduler-master-1 1/1 Running 0 61d
dolphinscheduler-master-2 1/1 Running 0 61d
dolphinscheduler-postgresql-0 1/1 Running 0 61d
dolphinscheduler-worker-0 1/1 Running 0 61d
dolphinscheduler-worker-1 1/1 Running 0 61d
dolphinscheduler-worker-2 1/1 Running 0 61d
dolphinscheduler-zookeeper-0 1/1 Running 0 61d
[root@k8s-master-1 dolphinscheduler]# kubectl get svc
dolphinscheduler-alert ClusterIP 10.233.15.6 <none> 50052/TCP 61d
dolphinscheduler-api NodePort 10.233.53.169 <none> 12345:30045/TCP 61d
dolphinscheduler-master-headless ClusterIP None <none> 5678/TCP 61d
dolphinscheduler-postgresql ClusterIP 10.233.14.21 <none> 5432/TCP 61d
dolphinscheduler-postgresql-headless ClusterIP None <none> 5432/TCP 61d
dolphinscheduler-worker-headless ClusterIP None <none> 1234/TCP,50051/TCP 61d
dolphinscheduler-zookeeper ClusterIP 10.233.61.75 <none> 2181/TCP,2888/TCP,3888/TCP 61d
dolphinscheduler-zookeeper-headless ClusterIP None <none> 2181/TCP,2888/TCP,3888/TCP 61d
[root@k8s-master-1 dolphinscheduler]# kubectl get pvc
dolphinscheduler-alert Bound pvc-cafb6191-5912-4785-8c10-0e55e2a90ecb 100Gi RWO glusterfs 61d
dolphinscheduler-api Bound pvc-eaadaf3c-c9bd-469a-9156-54ceea31b0b7 100Gi RWO glusterfs 61d
dolphinscheduler-fs-file Bound pvc-ae98e14f-b1df-467b-95cc-95f614860e60 100Gi RWX glusterfs 61d
dolphinscheduler-master-dolphinscheduler-master-0 Bound pvc-fe14bdaf-5ff5-4c72-a57d-b8718239a7b6 100Gi RWO glusterfs 61d
dolphinscheduler-master-dolphinscheduler-master-1 Bound pvc-f550d128-ccc0-4684-9068-5fdf1ed4c165 100Gi RWO glusterfs 61d
dolphinscheduler-master-dolphinscheduler-master-2 Bound pvc-4a98f191-9325-4340-84a3-9cfd484a67db 100Gi RWO glusterfs 61d
dolphinscheduler-shared Bound pvc-d5ceb050-ef7e-43fe-be2d-b3b56351587f 100Gi RWX glusterfs 61d
dolphinscheduler-worker-data-dolphinscheduler-worker-0 Bound pvc-42188bc4-84dc-40a5-a476-922b31aa7b4b 100Gi RWO glusterfs 61d
dolphinscheduler-worker-data-dolphinscheduler-worker-1 Bound pvc-636163d8-9a61-46f7-a1c3-f19d1a9309f2 100Gi RWO glusterfs 61d
dolphinscheduler-worker-data-dolphinscheduler-worker-2 Bound pvc-b2ade0f1-b594-4017-b522-c513b2fba04b 100Gi RWO glusterfs 61d
dolphinscheduler-worker-logs-dolphinscheduler-worker-0 Bound pvc-226ac643-be64-4429-8561-76605a6c9a9b 100Gi RWO glusterfs 61d
dolphinscheduler-worker-logs-dolphinscheduler-worker-1 Bound pvc-210484a0-f72a-4e3c-a8f5-0b2a092ba414 100Gi RWO glusterfs 61d
dolphinscheduler-worker-logs-dolphinscheduler-worker-2 Bound pvc-36cd9148-491f-4ccb-bfc9-dd7a104dab75 100Gi RWO glusterfs 61d
[root@k8s-master-1 dolphinscheduler]# kubectl get cm
dolphinscheduler-alert 1 61d
dolphinscheduler-api 1 61d
dolphinscheduler-common 32 61d
dolphinscheduler-master 16 61d
dolphinscheduler-worker 9 61d
Minio
minio使用Operator的方式进行部署，参考：https://docs.min.io/minio/k8s/deployment/deploy-minio-operator.html
- 在联网的机器上下载离线资源
#下载kubectl-minio
[root@master-2 ~]# wget https://github.com/minio/operator/releases/download/v4.4.16/kubectl-minio_4.4.16_linux_amd64 -O kubectl-minio
- 上传kubectl-mino
[root@k8s-master-1 ~]# chmod +x kubectl-minio
[root@k8s-master-1 ~]# mv kubectl-minio /usr/local/bin/
- 版本验证
[root@k8s-master-1 ~]# kubectl-minio version
v4.4.13
- 离线镜像制作,在联网的机器上操作
#下载
[root@k8s-master-1 ~]# docker pull minio/operator:v4.4.13
[root@k8s-master-1 ~]# docker pull minio/minio:RELEASE.2022-03-26T06-49-28Z
[root@k8s-master-1 ~]# docker pull minio/console:v0.15.6
[root@k8s-master-1 ~]# docker pull busybox:1.33.1
[root@k8s-master-1 ~]# docker pull minio/kes:v0.17.6
[root@k8s-master-1 ~]# docker pull minio/operator:v4.4.10
[root@k8s-master-1 ~]# docker pull postgres:13
[root@k8s-master-1 ~]# docker pull quay.io/prometheus/prometheus:latest
#打包
[root@master-2 ~]# mkdir minio-images && cd minio-images
[root@master-2 minio-images]# docker save -o operator-4.4.13.tar minio/operator:v4.4.13
[root@master-2 minio-images]# docker save -o minio-RELEASE.tar minio/minio:RELEASE.2022-03-26T06-49-28Z
[root@master-2 minio-images]# docker save -o minio-console.tar minio/console:v0.15.6
[root@master-2 minio-images]# docker save -o kes.tar minio/kes:v0.17.6
[root@master-2 minio-images]# docker save -o operator.tar minio/operator:v4.4.10
[root@master-2 minio-images]# docker save -o postgres.tar library/postgres:13
[root@master-2 minio-images]# docker save -o busybox.tar library/busybox:1.33.1
[root@master-2 minio-images]# docker save -o prometheus.tar quay.io/prometheus/prometheus:latest
#上传到离线环境。导入镜像
[root@k8s-master-1 minio-images]# docker load -i operator-4.4.13.tar
[root@k8s-master-1 minio-images]# docker load -i minio-RELEASE.tar
[root@k8s-master-1 minio-images]# docker load -i minio-console.tar
[root@k8s-master-1 minio-images]# docker load -i busybox.tar
Loaded image: busybox:1.33.1
[root@k8s-master-1 minio-images]# docker load -i kes.tar
Loaded image: minio/kes:v0.17.6
[root@k8s-master-1 minio-images]# docker load -i operator.tar
Loaded image: minio/operator:v4.4.10
[root@k8s-master-1 minio-images]# docker load -i postgres.tar
Loaded image: postgres:13
[root@k8s-master-1 minio-images]# docker load -i prometheus.tar
Loaded image: quay.io/prometheus/prometheus:latest
#修改镜像tag
[root@k8s-master-1 minio-images]# docker tag minio/operator:v4.4.13 dockerhub.dsj.com:18443/library/minio-operator:v4.4.13
[root@k8s-master-1 minio-images]# docker tag minio/minio:RELEASE.2022-03-26T06-49-28Z dockerhub.dsj.com:18443/library/minio:RELEASE.2022-03-26T06-49-28Z
[root@k8s-master-1 minio-images]# docker tag minio/console:v0.15.6 dockerhub.dsj.com:18443/library/minio-console:v0.15.6
[root@k8s-master-1 minio-images]# docker tag minio/kes:v0.17.6 dockerhub.dsj.com:18443/library/minio-kes:v0.17.6
[root@k8s-master-1 minio-images]# docker tag busybox:1.33.1 dockerhub.dsj.com:18443/library/minio-busybox:1.33.1
[root@k8s-master-1 minio-images]# docker tag minio/operator:v4.4.10 dockerhub.dsj.com:18443/library/minio-operator:v4.4.10
[root@k8s-master-1 minio-images]# docker tag postgres:13 dockerhub.dsj.com:18443/library/minio-postgres:13
[root@k8s-master-1 minio-images]# docker tag quay.io/prometheus/prometheus:latest dockerhub.dsj.com:18443/library/minio-prometheus:latest
#上传镜像至私有仓库
[root@k8s-master-1 minio-images]# docker push dockerhub.dsj.com:18443/library/minio-operator:v4.4.13
[root@k8s-master-1 minio-images]# docker push dockerhub.dsj.com:18443/library/minio:RELEASE.2022-03-26T06-49-28Z
[root@k8s-master-1 minio-images]# docker push dockerhub.dsj.com:18443/library/minio-console:v0.15.6
[root@k8s-master-1 minio-images]# docker push dockerhub.dsj.com:18443/library/minio-kes:v0.17.6
[root@k8s-master-1 minio-images]# docker push dockerhub.dsj.com:18443/library/minio-busybox:1.33.1
[root@k8s-master-1 minio-images]# docker push dockerhub.dsj.com:18443/library/minio-operator:v4.4.10
[root@k8s-master-1 minio-images]# docker push dockerhub.dsj.com:18443/library/minio-postgres:13
[root@k8s-master-1 minio-images]# docker push dockerhub.dsj.com:18443/library/minio-prometheus:latest
- 初始化 MinIO Operator
[root@k8s-master-1 ~]# kubectl minio init
namespace/minio-operator created
serviceaccount/minio-operator created
clusterrole.rbac.authorization.k8s.io/minio-operator-role created
clusterrolebinding.rbac.authorization.k8s.io/minio-operator-binding created
customresourcedefinition.apiextensions.k8s.io/tenants.minio.min.io created
service/operator created
deployment.apps/minio-operator created
serviceaccount/console-sa created
clusterrole.rbac.authorization.k8s.io/console-sa-role created
clusterrolebinding.rbac.authorization.k8s.io/console-sa-binding created
configmap/console-env created
service/console created
deployment.apps/console created
-----------------
To open Operator UI, start a port forward using this command:
kubectl minio proxy -n minio-operator
-----------------
该命令使用以下默认设置初始化 MinIO Operator：
- 将 Operator 部署到
minio-operator命名空间中。指定参数以将运算符部署到不同的命名空间。[kubectl minio init --namespace] - 在
cluster.local配置运营商的 DNS 主机名时用作集群域。指定 参数以设置不同的集群域值。[kubectl minio init --cluster-domain]
- 验证安装
[root@k8s-master-1 ~]# kubectl get all -n minio-operator
NAME READY STATUS RESTARTS AGE
pod/console-785968f468-4929k 1/1 Running 0 20s
pod/minio-operator-9fb5c6cc5-hw2g6 1/1 Running 0 20s
pod/minio-operator-9fb5c6cc5-lch2g 1/1 Running 0 20s
NAME TYPE CLUSTER-IP EXTERNAL-IP PORT(S) AGE
service/console ClusterIP 10.233.7.108 <none> 9090/TCP,9443/TCP 14s
service/operator ClusterIP 10.233.52.252 <none> 4222/TCP,4221/TCP 14s
NAME READY UP-TO-DATE AVAILABLE AGE
deployment.apps/console 1/1 1 1 14s
deployment.apps/minio-operator 2/2 2 2 14s
NAME DESIRED CURRENT READY AGE
replicaset.apps/console-785968f468 1 1 1 20s
replicaset.apps/minio-operator-9fb5c6cc5 2 2 2 20s
- 登录minio-operator控制台
[root@k8s-master-1 ~]# kubectl minio proxy
Starting port forward of the Console UI.
To connect open a browser and go to http://localhost:9090
Current JWT to login: eyJhbGciOiJSUzI1NiIsImtpZCI6InlmMjhfNndXcVJjdW5nVVk5Sm80YmsxX1g1OXdZdkZRb1BCSXotcXp3NncifQ.eyJpc3MiOiJrdWJlcm5ldGVzL3NlcnZpY2VhY2NvdW50Iiwia3ViZXJuZXRlcy5pby9zZXJ2aWNlYWNjb3VudC9uYW1lc3BhY2UiOiJtaW5pby1vcGVyYXRvciIsImt1YmVybmV0ZXMuaW8vc2VydmljZWFjY291bnQvc2VjcmV0Lm5hbWUiOiJjb25zb2xlLXNhLXRva2VuLW1ra3Y0Iiwia3ViZXJuZXRlcy5pby9zZXJ2aWNlYWNjb3VudC9zZXJ2aWNlLWFjY291bnQubmFtZSI6ImNvbnNvbGUtc2EiLCJrdWJlcm5ldGVzLmlvL3NlcnZpY2VhY2NvdW50L3NlcnZpY2UtYWNjb3VudC51aWQiOiI5NjZmN2UwNS0zMWMyLTRlMzItYjQzYy00N2MxNWU2MjNmNTEiLCJzdWIiOiJzeXN0ZW06c2VydmljZWFjY291bnQ6bWluaW8tb3BlcmF0b3I6Y29uc29sZS1zYSJ9.YVTYp-x03NAFpUyAJUkJ3kOTEYQw84ERLmRZkPgA_W_d_dQMwsN_7DYdIHwARK7WRq9-rPShJoxNcqn4uFmpe6dAYQFQkgffOWMWqwIbdx-ncjoYLqaL_vHl12u8fUf8WZzv9ferB0EHz5W-alrKazA0NRFR6k5pgIywC4y8_O6D949l3EygZZ5MekBQsGvZid3aWVXe9NPnvFn8x861NSk_-hl5HofgjXsGotTQdxiS0kOIRwMRKXzGLdoARQQTkXw1CaLm4HLg7h9pV5PeFrPyT8Gk8tsl-hWfv9oQ0Etg_1K2lRHNt94PXh_fLtf2baqJ-6T6kTP9iYyWrsm0sg
Forwarding from 0.0.0.0:9090 -> 9090
#记录上方jwt令牌
ctrl +c 退出
#编辑console svc配置为外网访问模式
[root@k8s-master-1 ~]# kubectl edit svc/console -n minio-operator
spec:
clusterIP: 10.233.7.108
clusterIPs:
- 10.233.7.108
internalTrafficPolicy: Cluster
ipFamilies:
- IPv4
ipFamilyPolicy: SingleStack
ports:
- name: http
nodePort: 30990 ###添加nodeport端口
port: 9090
protocol: TCP
targetPort: 9090
- name: https
port: 9443
protocol: TCP
targetPort: 9443
selector:
app: console
sessionAffinity: None
type: NodePort ###修改service类型为NodePort
#保存，退出
service/console edited
#查看结果
[root@k8s-master-1 ~]# kubectl get svc -n minio-operator
NAME TYPE CLUSTER-IP EXTERNAL-IP PORT(S) AGE
console NodePort 10.233.7.108 <none> 9090:30990/TCP,9443:30619/TCP 6m5s
operator ClusterIP 10.233.52.252 <none> 4222/TCP,4221/TCP 6m5s
- 访问http://任一节点ip+30990访问minio-operator控制台，输入jwt令牌登录
[外链图片转存失败,源站可能有防盗链机制,建议将图片保存下来直接上传(img-iPDQ6vOd-1656495208811)(./images/minio_1.jpg)]
- 点击创建租户，可以自定义配置进行minio的创建、删除、管理