K8S部署分3节点es

[root@master ~]# cat es.yaml

apiVersion: v1
kind: Service
metadata:
name: elasticsearch7
namespace: elasticsearch
labels:
app: elasticsearch7
spec:
ports:
- port: 9200
targetPort: 9200
name: rest
- port: 9300
targetPort: 9300
name: inter-node
selector:
app: elasticsearch7
type: NodePort

---
apiVersion: policy/v1
kind: PodDisruptionBudget
metadata:
name: es-pdb
spec:
selector:
matchLabels:
app: elasticsearch7
maxUnavailable: 1

---
apiVersion: apps/v1
kind: StatefulSet
metadata:
name: es7-cluster
namespace: elasticsearch
spec:
serviceName: elasticsearch7
replicas: 3
selector:
matchLabels:
app: elasticsearch7
template:
metadata:
labels:
app: elasticsearch7
spec:
containers:
- name: elasticsearch7
image: elasticsearch:7.16.2
resources:
limits:
cpu: 1000m
requests:
cpu: 100m
ports:
- containerPort: 9200
name: rest
protocol: TCP
- containerPort: 9300
name: inter-node
protocol: TCP
volumeMounts:
- name: data
mountPath: /usr/share/elasticsearch/data
env:
- name: cluster.name
value: k8s-logs
- name: node.name
valueFrom:
fieldRef:
fieldPath: metadata.name
- name: discovery.zen.minimum_master_nodes
value: "2"
- name: discovery.seed_hosts
value: "es7-cluster-0.elasticsearch7,es7-cluster-1.elasticsearch7,es7-cluster-2.elasticsearch7"
- name: cluster.initial_master_nodes
value: "es7-cluster-0"
- name: ES_JAVA_OPTS
value: "-Xms512m -Xmx512m"
initContainers:
- name: fix-permissions
image: busybox
command: ["sh", "-c", "chown -R 1000:1000 /usr/share/elasticsearch/data"]
securityContext:
privileged: true
volumeMounts:
- name: data
mountPath: /usr/share/elasticsearch/data
- name: increase-vm-max-map
image: busybox
command: ["sysctl", "-w", "vm.max_map_count=262144"]
securityContext:
privileged: true
- name: increase-fd-ulimit
image: busybox
command: ["sh", "-c", "ulimit -n 65536"]
volumeClaimTemplates:
- metadata:
name: data
spec:
accessModes: [ "ReadWriteOnce" ]
storageClassName: "managed-nfs-storage"
resources:
requests:
storage: 1Gi

 

[root@master ~]# curl 10.244.219.70:9200/_cat/health?v
epoch timestamp cluster status node.total node.data shards pri relo init unassign pending_tasks max_task_wait_time active_shards_percent
1671787556 09:25:56 k8s-logs green 3 3 6 3 0 0 0 0 - 100.0%

 

最近尝试了下ECK的方式部署

参考

https://www.elastic.co/guide/en/cloud-on-k8s/current/k8s-deploy-eck.html

注意内存必须满足2G以上可用

[root@master eck]# cat es.yaml
apiVersion: elasticsearch.k8s.elastic.co/v1
kind: Elasticsearch
metadata:
name: quickstart
spec:
version: 8.5.3
nodeSets:
- name: default
count: 3
podTemplate:
spec:
containers:
- name: elasticsearch
env:
- name: ES_JAVA_OPTS
value: -Xms512m -Xmx512m
resources:
requests:
memory: 500Mi
cpu: 0.5
limits:
memory: 1Gi
cpu: 1
config:
node.store.allow_mmap: false
volumeClaimTemplates:
- metadata:
name: elasticsearch-data # Do not change this name unless you set up a volume mount for the data path.
spec:
accessModes:
- ReadWriteOnce
resources:
requests:
storage: 5Gi
storageClassName: managed-nfs-storage

 

基本上这个就够用了

自定义内存占用,数据量和分片起来以后增加XMX和XMS变量以及对应的资源分配

这种方式就比较简单,有官方文档支持

 

posted @   不敲代码  阅读(189)  评论(0编辑  收藏  举报
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