这篇文档基于使用ConfigMap来配置Containers 这个任务,提供了一个使用ConfigMap来配置Redis的真实案例。
You need to have a Kubernetes cluster, and the kubectl command-line tool must be configured to communicate with your cluster. If you do not already have a cluster, you can create one by using Minikube, or you can use one of these Kubernetes playgrounds:
To check the version, enter kubectl version
.
按照下面的步骤,您可以使用ConfigMap中的数据来配置Redis缓存。
docs/user-guide/configmap/redis/redis-config
来创建一个ConfigMap: kubectl create configmap example-redis-config --from-file=docs/user-guide/configmap/redis/redis-config
kubectl get configmap example-redis-config -o yaml
apiVersion: v1
data:
redis-config: |
maxmemory 2mb
maxmemory-policy allkeys-lru
kind: ConfigMap
metadata:
creationTimestamp: 2016-03-30T18:14:41Z
name: example-redis-config
namespace: default
resourceVersion: "24686"
selfLink: /api/v1/namespaces/default/configmaps/example-redis-config
uid: 460a2b6e-f6a3-11e5-8ae5-42010af00002
apiVersion: v1
kind: Pod
metadata:
name: redis
spec:
containers:
- name: redis
image: kubernetes/redis:v1
env:
- name: MASTER
value: "true"
ports:
- containerPort: 6379
resources:
limits:
cpu: "0.1"
volumeMounts:
- mountPath: /redis-master-data
name: data
- mountPath: /redis-master
name: config
volumes:
- name: data
emptyDir: {}
- name: config
configMap:
name: example-redis-config
items:
- key: redis-config
path: redis.conf
kubectl create -f docs/user-guide/configmap/redis/redis-pod.yaml
In the example, the config volume is mounted at /redis-master
.
It uses path
to add the redis-config
key to a file named redis.conf
.
The file path for the redis config, therefore, is /redis-master/redis.conf
.
This is where the image will look for the config file for the redis master.
kubectl exec
命令进入pod后运行 redis-cli
工具来验证配置是否成功: kubectl exec -it redis redis-cli
127.0.0.1:6379> CONFIG GET maxmemory
1) "maxmemory"
2) "2097152"
127.0.0.1:6379> CONFIG GET maxmemory-policy
1) "maxmemory-policy"
2) "allkeys-lru"
此页是否对您有帮助?
Thanks for the feedback. If you have a specific, answerable question about how to use Kubernetes, ask it on Stack Overflow. Open an issue in the GitHub repo if you want to report a problem or suggest an improvement.