kubernetes部署高空用elasticsearch集群（一）部署

前言：第一篇是纯部署 第二篇进行详细的参数介绍

1.部署Elasticsearch集群

1.1 基础环境

kubernetes 1.11.0、docker.elastic.co/elasticsearch/elasticsearch:5.6.4
[镜像下载地址](https://www.docker.elastic.co/) 访问需要翻墙

1.2 配置文件

1.2.1 elasticsearch.yaml

apiVersion: v1
kind: ServiceAccount
metadata:
name: elasticsearch-logging
namespace: kube-system
labels:
k8s-app: elasticsearch-logging
kubernetes.io/cluster-service: "true"
addonmanager.kubernetes.io/mode: Reconcile
---
kind: ClusterRole
apiVersion: rbac.authorization.k8s.io/v1beta1
metadata:
name: elasticsearch-logging
labels:
k8s-app: elasticsearch-logging
kubernetes.io/cluster-service: "true"
addonmanager.kubernetes.io/mode: Reconcile
rules:
- apiGroups:
- ""
resources:
- "services"
- "namespaces"
- "endpoints"
verbs:
- "get"
---
kind: ClusterRoleBinding
apiVersion: rbac.authorization.k8s.io/v1beta1
metadata:
namespace: kube-system
name: elasticsearch-logging
labels:
k8s-app: elasticsearch-logging
kubernetes.io/cluster-service: "true"
addonmanager.kubernetes.io/mode: Reconcile
subjects:
- kind: ServiceAccount
name: elasticsearch-logging
namespace: kube-system
apiGroup: ""
roleRef:
kind: ClusterRole
name: elasticsearch-logging
apiGroup: ""
---
apiVersion: apps/v1beta1
kind: StatefulSet
metadata:
name: elasticsearch-master
namespace: kube-system
labels:
k8s-app: elasticsearch-logging
version: v5.6.4
kubernetes.io/cluster-service: "true"
addonmanager.kubernetes.io/mode: Reconcile
spec:
serviceName: elasticsearch-logging
replicas: 3
selector:
matchLabels:
k8s-app: elasticsearch-logging
version: v5.6.4
template:
metadata:
labels:
k8s-app: elasticsearch-logging
version: v5.6.4
kubernetes.io/cluster-service: "true"
spec:
serviceAccountName: elasticsearch-logging
containers:
- image: elasticsearch:5.6.4
name: elasticsearch-master
resources:
limits:
cpu: 1000m
requests:
cpu: 100m
ports:
- containerPort: 9200
name: db
protocol: TCP
- containerPort: 9300
name: transport
protocol: TCP
env:
- name: "cluster.name"
value: "elasticsearch-cluster"
- name: "node.name"
value: "${HOSTNAME}"
- name: "bootstrap.memory_lock"
value: "false"
- name: "discovery.zen.ping.unicast.hosts"
value: "elasticsearch-discovery"
- name: "discovery.zen.minimum_master_nodes"
value: "2"
- name: "discovery.zen.ping_timeout"
value: "5s"
- name: "node.master"
value: "true"
- name: "node.data"
value: "false"
- name: "node.ingest"
value: "false"
- name: "ES_JAVA_OPTS"
value: "-Xms256m -Xmx256m"
- name: kube-system
valueFrom:
fieldRef:
fieldPath: metadata.namespace
initContainers:
- image: alpine:3.6
command: ["/sbin/sysctl", "-w", "vm.max_map_count=262144"]
name: elasticsearch-logging-init
securityContext:
privileged: true
---
apiVersion: apps/v1beta1
kind: StatefulSet
metadata:
name: elasticsearch-data
namespace: kube-system
labels:
k8s-app: elasticsearch-logging
version: v5.6.4
kubernetes.io/cluster-service: "true"
addonmanager.kubernetes.io/mode: Reconcile
spec:
serviceName: elasticsearch-logging
replicas: 1
selector:
matchLabels:
k8s-app: elasticsearch-logging
version: v5.6.4
template:
metadata:
labels:
k8s-app: elasticsearch-logging
version: v5.6.4
kubernetes.io/cluster-service: "true"
spec:
serviceAccountName: elasticsearch-logging
containers:
- image: elasticsearch:5.6.4
name: elasticsearch-data
resources:
limits:
cpu: 1000m
requests:
cpu: 100m
ports:
- containerPort: 9200
name: db
protocol: TCP
- containerPort: 9300
name: transport
protocol: TCP
volumeMounts:
- name: elasticsearch-data
mountPath: /usr/share/elasticsearch/data
env:
- name: "cluster.name"
value: "elasticsearch-cluster"
- name: "node.name"
value: "${HOSTNAME}"
- name: "bootstrap.memory_lock"
value: "false"
- name: "discovery.zen.ping.unicast.hosts"
value: "elasticsearch-discovery"
- name: "node.master"
value: "false"
- name: "node.data"
value: "true"
- name: "ES_JAVA_OPTS"
value: "-Xms256m -Xmx256m"
- name: kube-system
valueFrom:
fieldRef:
fieldPath: metadata.namespace
initContainers:
- image: alpine:3.6
command: ["/sbin/sysctl", "-w", "vm.max_map_count=262144"]
name: elasticsearch-logging-init
securityContext:
privileged: true
volumes:
- name: elasticsearch-data
emptyDir: {}
#        - hostPath:
#           path: /usr/share/elasticsearch/nodedata
#        name: elasticsearch-data
#  volumeClaimTemplates:
#    - metadata:
#        name: elasticsearch-data
#      spec:
#        accessModes: ["ReadWriteOnce"]
#        storageClassName: "ceph-sc-ext4"
#        resources:
#          requests:
#            storage: 100Mi

1.2.2 discovery-es.yaml

apiVersion: v1
kind: Service
metadata:
name: elasticsearch-discovery
namespace: kube-system
labels:
k8s-app: elasticsearch-logging
kubernetes.io/cluster-service: "true"
addonmanager.kubernetes.io/mode: Reconcile
kubernetes.io/name: "Elasticsearch"
spec:
ports:
- port: 9300
protocol: TCP
targetPort: transport
selector:
k8s-app: elasticsearch-logging

1.2.3 service-es.yaml

apiVersion: v1
kind: Service
metadata:
name: elasticsearch-logging
namespace: kube-system
labels:
k8s-app: elasticsearch-logging
kubernetes.io/cluster-service: "true"
addonmanager.kubernetes.io/mode: Reconcile
kubernetes.io/name: "Elasticsearch"
spec:
type: NodePort
ports:
- port: 9200
protocol: TCP
targetPort: db
nodePort: 30011
selector:
k8s-app: elasticsearch-logging

1.2.4 部署应用

把以上yaml文件。放在一个目录下

kubectl apply -f   elasticsearch/

或者进入该目录下

kubectl apply -f elasticsearch.yaml
kubectl apply -f discovery-es.yaml
kubectl apply -f service-es.yaml