写一个 将k8s容器的log目录做一个持久化存储的yaml文件
时间: 2024-05-19 11:14:54 浏览: 15
Sure, here's an example YAML file for creating a persistent volume claim for Kubernetes container log directory:
apiVersion: v1
kind: PersistentVolumeClaim
metadata:
name: container-log
spec:
accessModes:
- ReadWriteOnce
resources:
requests:
storage: 10Gi
storageClassName: your-storage-class-name
You can apply this YAML file with the kubectl command and it will create a persistent volume claim object in your Kubernetes cluster for the container log directory. Hope that helps!
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写一个 k8s搭建hadoop集群可持久化的 配置文件
好的,这是一个基本的Kubernetes部署Hadoop集群的示例yaml文件,其中包括持久化存储。
```yaml
apiVersion: v1
kind: Service
metadata:
name: namenode
labels:
app: hadoop
role: master
spec:
ports:
- port: 9000
name: nn-rpc
- port: 50070
name: nn-http
clusterIP: None
selector:
app: hadoop
role: master
---
apiVersion: v1
kind: Service
metadata:
name: datanode
labels:
app: hadoop
role: worker
spec:
ports:
- port: 50010
name: dn-rpc
- port: 50075
name: dn-http
selector:
app: hadoop
role: worker
---
apiVersion: apps/v1
kind: StatefulSet
metadata:
name: namenode
spec:
replicas: 1
serviceName: namenode
selector:
matchLabels:
app: hadoop
role: master
template:
metadata:
labels:
app: hadoop
role: master
spec:
containers:
- name: namenode
image: hadoop:latest
command: [ "sh", "-c", "service ssh start; hdfs namenode" ]
ports:
- containerPort: 9000
- containerPort: 50070
volumeMounts:
- name: namenode
mountPath: /data/namenode
volumes:
- name: namenode
persistentVolumeClaim:
claimName: namenode-pvc
---
apiVersion: apps/v1
kind: StatefulSet
metadata:
name: datanode
spec:
replicas: 3
serviceName: datanode
selector:
matchLabels:
app: hadoop
role: worker
template:
metadata:
labels:
app: hadoop
role: worker
spec:
containers:
- name: datanode
image: hadoop:latest
command: [ "sh", "-c", "service ssh start; hdfs datanode" ]
ports:
- containerPort: 50010
- containerPort: 50075
volumeMounts:
- name: datanode
mountPath: /data/datanode
volumes:
- name: datanode
persistentVolumeClaim:
claimName: datanode-pvc
```
在这个文件中,我们定义了两个Service:namenode和datanode。namenode服务是一个Headless服务,它没有ClusterIP地址,但是它有一个Selector,它将匹配namenode StatefulSet的Pod。datanode服务是一个正常的服务,它有一个ClusterIP地址,它将匹配datanode StatefulSet的Pod。
我们还定义了两个StatefulSet:namenode和datanode。namenode StatefulSet有一个replica,它将启动一个Pod,运行hdfs namenode命令。在这个Pod中,我们将/data/namenode目录挂载到一个持久卷中,该卷将通过namenode-pvc声明进行定义。datanode StatefulSet有三个replica,每个Pod都运行hdfs datanode命令。在这个Pod中,我们将/data/datanode目录挂载到一个持久卷中,该卷将通过datanode-pvc声明进行定义。
请注意,这只是一个基本的示例,您可能需要根据您的特定情况进行调整。
帮我写一个在k8s搭建es集群的yaml文件
当然可以,以下是一个简单的在Kubernetes中部署Elasticsearch集群的yaml文件:
```
apiVersion: apps/v1
kind: StatefulSet
metadata:
name: elasticsearch
spec:
serviceName: elasticsearch
replicas: 3
selector:
matchLabels:
app: elasticsearch
template:
metadata:
labels:
app: elasticsearch
spec:
containers:
- name: elasticsearch
image: docker.elastic.co/elasticsearch/elasticsearch:7.15.0
env:
- name: discovery.type
value: "single-node"
resources:
limits:
memory: 2Gi
requests:
cpu: 100m
memory: 2Gi
ports:
- containerPort: 9200
name: rest
protocol: TCP
- containerPort: 9300
name: inter-node
protocol: TCP
volumeMounts:
- name: data
mountPath: /usr/share/elasticsearch/data
volumes:
- name: data
persistentVolumeClaim:
claimName: elasticsearch-data
---
apiVersion: v1
kind: Service
metadata:
name: elasticsearch
spec:
selector:
app: elasticsearch
ports:
- name: rest
port: 9200
targetPort: rest
protocol: TCP
- name: inter-node
port: 9300
targetPort: inter-node
protocol: TCP
clusterIP: None
```
该yaml文件包括了一个3个副本的StatefulSet,以及一个Service来暴露Elasticsearch集群。此处使用的是单节点发现模式,因此每个Elaticsearch节点都是一个独立的节点。此外,还定义了一个名为“elasticsearch-data”的持久卷声明,用于存储Elasticsearch的数据。
请注意,这只是一个基本示例,你可能需要根据自己的需求进行修改。