五步教你如何使用k8s快速部署ES
前言
今天小编打算用五步教大家如何使用k8s快速部署ES，有兴趣的小伙伴可以了解一下~
由于是使用本地存储，所以需要先创建pv
1、创建存储类
local-elasticsearch.yaml
kind: StorageClass apiVersion: storage.k8s.io/v1 metadata: name: local-elasticsearch provisioner: kubernetes.io/no-provisioner volumeBindingMode: WaitForFirstConsumer
kubectl apply -f local-elasticsearch.yaml
2、创建pv
elasticsearch-pv-01.yaml
apiVersion: v1
kind: PersistentVolume
metadata:
name: local-es-0(local-es-1/local-es-2...) #这里需要改名
spec:
capacity:
storage: 3Gi
volumeMode: Filesystem # volumeMode field requires BlockVolume Alpha feature gate to be enabled.
accessModes:
- ReadWriteOnce
storageClassName: local-elasticsearch #这里对应StorageClass的名字
persistentVolumeReclaimPolicy: Retain
local:
path: /data/local-es # 这里是本地存储的路径，需要提前创建好目录
nodeAffinity:
required:
nodeSelectorTerms:
- matchExpressions:
- key: kubernetes.io/hostname
operator: In
values:
- k8s-node4(xxx/yyy...) #这里是pv本地存储所在的node节点名称
由于es集群是3个副本，所以需要分别在3台node节点上面创建本地存储目录，创建3个pv
kubectl apply -f elasticsearch-pv-01.yaml kubectl apply -f elasticsearch-pv-02.yaml kubectl apply -f elasticsearch-pv-03.yaml
3、创建一个pvc，用于挂载备份目录
elasticsearch-pvc.yaml
apiVersion: v1
kind: PersistentVolumeClaim
metadata:
name: elasticsearch-pvc
namespace: elasticsearch
spec:
accessModes:
- ReadWriteMany
resources:
requests:
storage: 30Gi
storageClassName: nfs-client #这个是nfs的一个存储类，用于存储数据到nfs的
kubectl apply -f elasticsearch-pvc.yaml
4、创建es命名空间
kubectl create namespace elasticsearch
5、helm部署
添加本地helm库
helm repo add --username **** --password **** elk http://69.172.74.253:8080/chartrepo/elk
nodePort使用预留好的端口即可
这里的pvc.enabled是开启pvc，pvc.name是设置要绑定的pvc名字，对应上述创建的pvc
helm upgrade --install elasticsearch elk/elasticsearch --version 7.8.0 --set service.nodePort=xxxx --set pvc.enabled=true --set pvc.name=elasticsearch-pvc --namespace=elasticsearch
至此部署成功
ES helm chart详解
values.yaml
---
clusterName: "elasticsearch"
nodeGroup: "master"
# The service that non master groups will try to connect to when joining the cluster
# This should be set to clusterName + "-" + nodeGroup for your master group
masterService: ""
# Elasticsearch roles that will be applied to this nodeGroup
# These will be set as environment variables. E.g. node.master=true
roles:
master: "true"
ingest: "true"
data: "true"
replicas: 3
minimumMasterNodes: 2
esMajorVersion: ""
# Allows you to add any config files in /usr/share/elasticsearch/config/
# such as elasticsearch.yml and log4j2.properties
esConfig:
elasticsearch.yml: |
# path.repo: "/usr/share/elasticsearch/myBackup"
# log4j2.properties: |
# key = value
# Extra environment variables to append to this nodeGroup
# This will be appended to the current 'env:' key. You can use any of the kubernetes env
# syntax here
extraEnvs: []
# - name: MY_ENVIRONMENT_VAR
# value: the_value_goes_here
# Allows you to load environment variables from kubernetes secret or config map
envFrom: []
# - secretRef:
# name: env-secret
# - configMapRef:
# name: config-map
# A list of secrets and their paths to mount inside the pod
# This is useful for mounting certificates for security and for mounting
# the X-Pack license
secretMounts: []
# - name: elastic-certificates
# secretName: elastic-certificates
# path: /usr/share/elasticsearch/config/certs
# defaultMode: 0755
image: "69.172.74.253:8080/elk/elasticsearch"
imageTag: "7.7.1"
imagePullPolicy: "IfNotPresent"
podAnnotations: {}
# iam.amazonaws.com/role: es-cluster
# additionals labels
labels: {}
esJavaOpts: "-Xmx1g -Xms1g"
resources:
requests:
cpu: "1000m"
memory: "2Gi"
limits:
cpu: "1000m"
memory: "2Gi"
initResources: {}
# limits:
# cpu: "25m"
# # memory: "128Mi"
# requests:
# cpu: "25m"
# memory: "128Mi"
sidecarResources: {}
# limits:
# cpu: "25m"
# # memory: "128Mi"
# requests:
# cpu: "25m"
# memory: "128Mi"
networkHost: "0.0.0.0"
volumeClaimTemplate:
accessModes: ["ReadWriteOnce" ]
volumeMode: Filesystem
storageClassName: local-elasticsearch
resources:
requests:
storage: 3Gi
rbac:
create: false
serviceAccountName: ""
podSecurityPolicy:
create: false
name: ""
spec:
privileged: true
fsGroup:
rule: RunAsAny
runAsUser:
rule: RunAsAny
seLinux:
rule: RunAsAny
supplementalGroups:
rule: RunAsAny
volumes:
- secret
- configMap
- persistentVolumeClaim
persistence:
enabled: true
annotations: {}
#annotations: {volume.beta.kubernetes.io/storage-class: "nfs-client"}
pvc:
enabled: false
name: elasticsearch-pvc
extraVolumes: []
# - name: extras
# emptyDir: {}
extraVolumeMounts: []
# - name: extras
# mountPath: /usr/share/extras
# readOnly: true
extraContainers: []
# - name: do-something
# image: busybox
# command: ['do', 'something']
extraInitContainers: []
# - name: do-something
# image: busybox
# command: ['do', 'something']
# This is the PriorityClass settings as defined in
# https://kubernetes.io/docs/concepts/configuration/pod-priority-preemption/#priorityclass
priorityClassName: ""
# By default this will make sure two pods don't end up on the same node
# Changing this to a region would allow you to spread pods across regions
antiAffinityTopologyKey: "kubernetes.io/hostname"
# Hard means that by default pods will only be scheduled if there are enough nodes for them
# and that they will never end up on the same node. Setting this to soft will do this "best effort"
antiAffinity: "hard"
# This is the node affinity settings as defined in
# https://kubernetes.io/docs/concepts/configuration/assign-pod-node/#node-affinity-beta-feature
nodeAffinity: {}
# The default is to deploy all pods serially. By setting this to parallel all pods are started at
# the same time when bootstrapping the cluster
podManagementPolicy: "Parallel"
# The environment variables injected by service links are not used, but can lead to slow Elasticsearch boot times when
# there are many services in the current namespace.
# If you experience slow pod startups you probably want to set this to `false`.
enableServiceLinks: true
protocol: http
httpPort: 9200
transportPort: 9300
service:
labels: {}
labelsHeadless: {}
type: NodePort
nodePort: 32060
annotations: {}
httpPortName: http
transportPortName: transport
loadBalancerIP: ""
loadBalancerSourceRanges: []
updateStrategy: RollingUpdate
# This is the max unavailable setting for the pod disruption budget
# The default value of 1 will make sure that kubernetes won't allow more than 1
# of your pods to be unavailable during maintenance
maxUnavailable: 1
podSecurityContext:
fsGroup: 1000
runAsUser: 1000
securityContext:
capabilities:
drop:
- ALL
# readOnlyRootFilesystem: true
runAsNonRoot: true
runAsUser: 1000
# How long to wait for elasticsearch to stop gracefully
terminationGracePeriod: 120
sysctlVmMaxMapCount: 262144
readinessProbe:
failureThreshold: 3
initialDelaySeconds: 10
periodSeconds: 10
successThreshold: 3
timeoutSeconds: 5
# https://www.elastic.co/guide/en/elasticsearch/reference/7.8/cluster-health.html#request-params wait_for_status
clusterHealthCheckParams: "wait_for_status=green&timeout=1s"
## Use an alternate scheduler.
## ref: https://kubernetes.io/docs/tasks/administer-cluster/configure-multiple-schedulers/
##
schedulerName: ""
imagePullSecrets:
- name: registry-secret
nodeSelector: {}
tolerations: []
# Enabling this will publically expose your Elasticsearch instance.
# Only enable this if you have security enabled on your cluster
ingress:
enabled: false
annotations: {}
# kubernetes.io/ingress.class: nginx
# kubernetes.io/tls-acme: "true"
path: /
hosts:
- chart-example.local
tls: []
# - secretName: chart-example-tls
# hosts:
# - chart-example.local
nameOverride: ""
fullnameOverride: ""
# https://github.com/elastic/helm-charts/issues/63
masterTerminationFix: false
lifecycle: {}
# preStop:
# exec:
# command: ["/bin/sh", "-c", "echo Hello from the postStart handler > /usr/share/message"]
# postStart:
# exec:
# command:
# - bash
# - -c
# - |
# #!/bin/bash
# # Add a template to adjust number of shards/replicas
# TEMPLATE_NAME=my_template
# INDEX_PATTERN="logstash-*"
# SHARD_COUNT=8
# REPLICA_COUNT=1
# ES_URL=http://localhost:9200
# while [[ "$(curl -s -o /dev/null -w '%{http_code}\n' $ES_URL)" != "200" ]]; do sleep 1; done
# curl -XPUT "$ES_URL/_template/$TEMPLATE_NAME" -H 'Content-Type: application/json' -d'{"index_patterns":['\""$INDEX_PATTERN"\"'],"settings":{"number_of_shards":'$SHARD_COUNT',"number_of_replicas":'$REPLICA_COUNT'}}'
sysctlInitContainer:
enabled: true
keystore: []
# Deprecated
# please use the above podSecurityContext.fsGroup instead
fsGroup: ""
以上是全部字段，下面抽一些常用字段出来解释，其他字段默认即可
replicas: 3 # pod副本数
minimumMasterNodes: 2 # es集群最少node数量
esConfig: # es配置文件，挂载出来修改的
elasticsearch.yml: |
# path.repo: "/usr/share/elasticsearch/myBackup"
# log4j2.properties: |
# key = value
image: "69.172.74.253:8080/elk/elasticsearch" # es使用的镜像地址
imageTag: "7.7.1" # es使用镜像的tag
imagePullPolicy: "IfNotPresent" # 是否每次重新拉取镜像
volumeClaimTemplate: # 外部存储模板
accessModes: ["ReadWriteOnce" ] # 读取模式
volumeMode: Filesystem # 存储模式
storageClassName: local-elasticsearch # 存储类名称，存储类对应真实存储
resources:
requests:
storage: 3Gi # 需要内存数量
pvc:
enabled: false # 是否开启pvc存储
name: elasticsearch-pvc # pvc名称
imagePullSecrets: # 拉取私有镜像仓库secret
- name: registry-secret
nodeSelector: {} # 节点选择器
以上就是这次的内容，咱们下期再见！当然，如果小伙伴有更快速更便捷的方式也可以推荐给小编哈~
