我正在尝试在本地kubernetes（用于Windows的docker）上设置redis-ha舵图。
我正在使用的helm值文件是
## Configure resource requests and limits
## ref: http://kubernetes.io/docs/user-guide/compute-resources/
##
image:
repository: redis
tag: 5.0.3-alpine
pullPolicy: IfNotPresent
## replicas number for each component
replicas: 3
## Custom labels for the redis pod
labels: {}
## Pods Service Account
## ref: https://kubernetes.io/docs/tasks/configure-pod-container/configure-service-account/
serviceAccount:
## Specifies whether a ServiceAccount should be created
##
create: false
## The name of the ServiceAccount to use.
## If not set and create is true, a name is generated using the redis-ha.fullname template
# name:
## Role Based Access
## Ref: https://kubernetes.io/docs/admin/authorization/rbac/
##
rbac:
create: false
## Redis specific configuration options
redis:
port: 6379
masterGroupName: mymaster
config:
## Additional redis conf options can be added below
## For all available options see http://download.redis.io/redis-stable/redis.conf
min-slaves-to-write: 1
min-slaves-max-lag: 5 # Value in seconds
maxmemory: "0" # Max memory to use for each redis instance. Default is unlimited.
maxmemory-policy: "volatile-lru" # Max memory policy to use for each redis instance. Default is volatile-lru.
# Determines if scheduled RDB backups are created. Default is false.
# Please note that local (on-disk) RDBs will still be created when re-syncing with a new slave. The only way to prevent this is to enable diskless replication.
save: "900 1"
# When enabled, directly sends the RDB over the wire to slaves, without using the disk as intermediate storage. Default is false.
repl-diskless-sync: "yes"
rdbcompression: "yes"
rdbchecksum: "yes"
## Custom redis.conf files used to override default settings. If this file is
## specified then the redis.config above will be ignored.
# customConfig: |-
# Define configuration here
resources:
requests:
memory: 200Mi
cpu: 100m
limits:
memory: 700Mi
cpu: 250m
## Sentinel specific configuration options
sentinel:
port: 26379
quorum: 2
config:
## Additional sentinel conf options can be added below. Only options that
## are expressed in the format simialar to 'sentinel xxx mymaster xxx' will
## be properly templated.
## For available options see http://download.redis.io/redis-stable/sentinel.conf
down-after-milliseconds: 10000
## Failover timeout value in milliseconds
failover-timeout: 180000
parallel-syncs: 5
## Custom sentinel.conf files used to override default settings. If this file is
## specified then the sentinel.config above will be ignored.
# customConfig: |-
# Define configuration here
resources:
requests:
memory: 200Mi
cpu: 100m
limits:
memory: 200Mi
cpu: 250m
securityContext:
runAsUser: 1000
fsGroup: 1000
runAsNonRoot: true
## Node labels, affinity, and tolerations for pod assignment
## ref: https://kubernetes.io/docs/concepts/configuration/assign-pod-node/#nodeselector
## ref: https://kubernetes.io/docs/concepts/configuration/assign-pod-node/#taints-and-tolerations-beta-feature
## ref: https://kubernetes.io/docs/concepts/configuration/assign-pod-node/#affinity-and-anti-affinity
affinity: {}
# Prometheus exporter specific configuration options
exporter:
enabled: false
image: oliver006/redis_exporter
tag: v0.31.0
pullPolicy: IfNotPresent
# prometheus port & scrape path
port: 9121
scrapePath: /metrics
# cpu/memory resource limits/requests
resources: {}
# Additional args for redis exporter
extraArgs: {}
podDisruptionBudget: {}
# maxUnavailable: 1
# minAvailable: 1
## Configures redis with AUTH (requirepass & masterauth conf params)
auth: false
# redisPassword:
## Use existing secret containing "auth" key (ignores redisPassword)
# existingSecret:
persistentVolume:
enabled: true
## redis-ha data Persistent Volume Storage Class
## If defined, storageClassName: <storageClass>
## If set to "-", storageClassName: "", which disables dynamic provisioning
## If undefined (the default) or set to null, no storageClassName spec is
## set, choosing the default provisioner. (gp2 on AWS, standard on
## GKE, AWS & OpenStack)
##
# storageClass: "-"
accessModes:
- ReadWriteOnce
size: 1Gi
annotations: {}
init:
resources: {}
# To use a hostPath for data, set persistentVolume.enabled to false
# and define hostPath.path.
# Warning: this might overwrite existing folders on the host system!
hostPath:
## path is evaluated as template so placeholders are replaced
# path: "/data/{{ .Release.Name }}"
# if chown is true, an init-container with root permissions is launched to
# change the owner of the hostPath folder to the user defined in the
# security context
chown: true
redis-ha正在正确部署，当我执行kubectl get all时
NAME READY STATUS RESTARTS AGE
pod/rc-redis-ha-server-0 2/2 Running 0 1h
pod/rc-redis-ha-server-1 2/2 Running 0 1h
pod/rc-redis-ha-server-2 2/2 Running 0 1h
NAME TYPE CLUSTER-IP EXTERNAL-IP PORT(S) AGE
service/kubernetes ClusterIP 10.96.0.1 <none> 443/TCP 23d
service/rc-redis-ha ClusterIP None <none> 6379/TCP,26379/TCP 1h
service/rc-redis-ha-announce-0 ClusterIP 10.105.187.154 <none> 6379/TCP,26379/TCP 1h
service/rc-redis-ha-announce-1 ClusterIP 10.107.36.58 <none> 6379/TCP,26379/TCP 1h
service/rc-redis-ha-announce-2 ClusterIP 10.98.38.214 <none> 6379/TCP,26379/TCP 1h
NAME DESIRED CURRENT AGE
statefulset.apps/rc-redis-ha-server 3 3 1h
我尝试使用Java应用程序访问redis-ha，该应用程序使用生菜驱动程序连接到redis。示例Java代码访问Redis，
package io.c12.bala.lettuce;
import io.lettuce.core.RedisClient;
import io.lettuce.core.api.StatefulRedisConnection;
import io.lettuce.core.api.sync.RedisCommands;
import java.util.logging.Logger;
public class RedisClusterConnect {
private static final Logger logger = Logger.getLogger(RedisClusterConnect.class.getName());
public static void main(String[] args) {
logger.info("Starting test");
// Syntax: redis-sentinel://[password@]host[:port][,host2[:port2]][/databaseNumber]#sentinelMasterId
RedisClient redisClient = RedisClient.create("redis-sentinel://rc-redis-ha:26379/0#mymaster");
StatefulRedisConnection<String, String> connection = redisClient.connect();
RedisCommands<String, String> command = connection.sync();
command.set("Hello", "World");
logger.info("Ran set command successfully");
logger.info("Value from Redis - " + command.get("Hello"));
connection.close();
redisClient.shutdown();
}
}
我将应用程序打包为可运行的jar，创建了一个容器并将其推送到运行Redis的同一kubernetes集群。现在，应用程序将引发错误。
Exception in thread "main" io.lettuce.core.RedisCommandExecutionException: NOREPLICAS Not enough good replicas to write.
at io.lettuce.core.ExceptionFactory.createExecutionException(ExceptionFactory.java:135)
at io.lettuce.core.LettuceFutures.awaitOrCancel(LettuceFutures.java:122)
at io.lettuce.core.FutureSyncInvocationHandler.handleInvocation(FutureSyncInvocationHandler.java:69)
at io.lettuce.core.internal.AbstractInvocationHandler.invoke(AbstractInvocationHandler.java:80)
at com.sun.proxy.$Proxy0.set(Unknown Source)
at io.c12.bala.lettuce.RedisClusterConnect.main(RedisClusterConnect.java:22)
Caused by: io.lettuce.core.RedisCommandExecutionException: NOREPLICAS Not enough good replicas to write.
at io.lettuce.core.ExceptionFactory.createExecutionException(ExceptionFactory.java:135)
at io.lettuce.core.ExceptionFactory.createExecutionException(ExceptionFactory.java:108)
at io.lettuce.core.protocol.AsyncCommand.completeResult(AsyncCommand.java:120)
at io.lettuce.core.protocol.AsyncCommand.complete(AsyncCommand.java:111)
at io.lettuce.core.protocol.CommandHandler.complete(CommandHandler.java:646)
at io.lettuce.core.protocol.CommandHandler.decode(CommandHandler.java:604)
at io.lettuce.core.protocol.CommandHandler.channelRead(CommandHandler.java:556)
我也尝试使用jedis驱动程序和springboot应用程序，从Redis-ha群集中得到了相同的错误。
**更新**
当我在redis-cli中运行info命令时，我会得到
connected_slaves:2
min_slaves_good_slaves:0
似乎奴隶行为不正常。切换为min-slaves-to-write: 0时。能够读写Redis集群。
对此有任何帮助。
答案 0 :(得分：2)
似乎您必须编辑del L[myIndex] configmap并设置redis-ha-configmap。
在删除所有redis pod后（应用它），它就像一个超级魅力
如此：
min-slaves-to-write 0答案 1 :(得分：0)
当我将具有相同值的Helm Chart部署到在AWS上运行的Kubernetes集群时，它可以正常工作。
在Windows版Docker上Kubernetes似乎出现问题。
答案 2 :(得分：0)
如果在计算机上本地部署此Helm图表，则只有1个可用节点。如果您使用--set hardAntiAffinity=false安装Helm图表，则它将所需的副本容器全部放在同一节点上，因此将正确启动，并且不会出现该错误。此hardAntiAffinity值的documented默认值为true：
是否应强制Redis服务器Pod在单独的节点上运行。