我目前正在使用bitnami/kafka图像(https://hub.docker.com/r/bitnami/kafka),并将其部署到kubernetes上。
在集群中,其他应用程序能够找到kafka。当试图从集群外部访问kafka容器时,会出现问题。在阅读时,我读到我们需要为外部kafka客户端设置属性"advertised.listener=PLAINTTEXT://hostname:port_number“。
我现在是指"https://github.com/bitnami/charts/tree/master/bitnami/kafka“。在我的values.yaml文件中添加了
values.yaml
和statefulset.yaml
- name: KAFKA_CFG_ADVERTISED_LISTENERS
value: 'PLAINTEXT://{{ .Values.advertisedListeners }}:9092'
对于一个卡夫卡实例,它运行得很好.
但是对于3个节点kafka集群,我更改了一些配置,如:values.yaml
和Statefulset.yaml
- name: KAFKA_CFG_ADVERTISED_LISTENERS
{{- if $MY_POD_NAME := "kafka-0" }}
value: 'PLAINTEXT://{{ .Values.advertisedListeners1 }}:9092'
{{- else if $MY_POD_NAME := "kafka-1" }}
value: 'PLAINTEXT://{{ .Values.advertisedListeners2 }}:9092'
{{- else if $MY_POD_NAME := "kafka-2" }}
value: 'PLAINTEXT://{{ .Values.advertisedListeners3 }}:9092'
{{- end }}
预期的结果是,所有3个kafka实例都应该将advertised.listener属性设置为工人节点ip地址。
示例:
目前只有一个卡夫卡吊舱在启动和运行,而另外两个将崩溃的回退状态。
另外两个吊舱显示的错误如下:
2019-10-20 13:09:37,753 INFO LogDirFailureHandler: startup 2019-10-20 13:09:37,786错误KafkaServer id=1002在KafkaServer启动期间发生致命错误。准备关闭(kafka.server.KafkaServer) java.lang.IllegalArgumentException:需求失败:已配置的端点10.21.0.191:9092在广告侦听器中已由代理1001在scala.Predef$.require(Predef.scala:224)注册,在scala.collection.mutable.ResizableArray$class.foreach(ResizableArray.scala:59) at scala.collection.mutable.ResizableArray$class.foreach(ResizableArray.scala:59) at scala.collection.mutable.ArrayBuffer.foreach( kafka.server.KafkaServer.createBrokerInfo(KafkaServer.scala:397) at kafka.server.KafkaServer.startup(KafkaServer.scala:261) at kafka.server.KafkaServerStartable.startup(KafkaServerStartable.scala:38) at kafka.Kafka$.main(Kafka.scala:84) at kafka.Kafka.main(Kafka.scala) )
这意味着在statefulset.yaml中应用的逻辑不起作用。有人能帮我解决这个问题吗..?
任何帮助都将不胜感激..。
kubectl get statefulset kafka -o yaml
输出
apiVersion: apps/v1
kind: StatefulSet
metadata:
creationTimestamp: "2019-10-29T07:04:12Z"
generation: 1
labels:
app.kubernetes.io/component: kafka
app.kubernetes.io/instance: kafka
app.kubernetes.io/managed-by: Tiller
app.kubernetes.io/name: kafka
helm.sh/chart: kafka-6.0.1
name: kafka
namespace: default
resourceVersion: "12189730"
selfLink: /apis/apps/v1/namespaces/default/statefulsets/kafka
uid: d40cfd5f-46a6-49d0-a9d3-e3a851356063
spec:
podManagementPolicy: Parallel
replicas: 3
revisionHistoryLimit: 10
selector:
matchLabels:
app.kubernetes.io/component: kafka
app.kubernetes.io/instance: kafka
app.kubernetes.io/name: kafka
serviceName: kafka-headless
template:
metadata:
creationTimestamp: null
labels:
app.kubernetes.io/component: kafka
app.kubernetes.io/instance: kafka
app.kubernetes.io/managed-by: Tiller
app.kubernetes.io/name: kafka
helm.sh/chart: kafka-6.0.1
name: kafka
spec:
containers:
- env:
- name: MY_POD_IP
valueFrom:
fieldRef:
apiVersion: v1
fieldPath: status.podIP
- name: MY_POD_NAME
valueFrom:
fieldRef:
apiVersion: v1
fieldPath: metadata.name
- name: KAFKA_CFG_ZOOKEEPER_CONNECT
value: kafka-zookeeper
- name: KAFKA_PORT_NUMBER
value: "9092"
- name: KAFKA_CFG_LISTENERS
value: PLAINTEXT://:$(KAFKA_PORT_NUMBER)
- name: KAFKA_CFG_ADVERTISED_LISTENERS
value: PLAINTEXT://10.21.0.191:9092
- name: ALLOW_PLAINTEXT_LISTENER
value: "yes"
- name: KAFKA_CFG_BROKER_ID
value: "-1"
- name: KAFKA_CFG_DELETE_TOPIC_ENABLE
value: "false"
- name: KAFKA_HEAP_OPTS
value: -Xmx1024m -Xms1024m
- name: KAFKA_CFG_LOG_FLUSH_INTERVAL_MESSAGES
value: "10000"
- name: KAFKA_CFG_LOG_FLUSH_INTERVAL_MS
value: "1000"
- name: KAFKA_CFG_LOG_RETENTION_BYTES
value: "1073741824"
- name: KAFKA_CFG_LOG_RETENTION_CHECK_INTERVALS_MS
value: "300000"
- name: KAFKA_CFG_LOG_RETENTION_HOURS
value: "168"
- name: KAFKA_CFG_LOG_MESSAGE_FORMAT_VERSION
- name: KAFKA_CFG_MESSAGE_MAX_BYTES
value: "1000012"
- name: KAFKA_CFG_LOG_SEGMENT_BYTES
value: "1073741824"
- name: KAFKA_CFG_LOG_DIRS
value: /bitnami/kafka/data
- name: KAFKA_CFG_DEFAULT_REPLICATION_FACTOR
value: "1"
- name: KAFKA_CFG_OFFSETS_TOPIC_REPLICATION_FACTOR
value: "1"
- name: KAFKA_CFG_TRANSACTION_STATE_LOG_REPLICATION_FACTOR
value: "1"
- name: KAFKA_CFG_SSL_ENDPOINT_IDENTIFICATION_ALGORITHM
value: https
- name: KAFKA_CFG_TRANSACTION_STATE_LOG_MIN_ISR
value: "1"
- name: KAFKA_CFG_NUM_IO_THREADS
value: "8"
- name: KAFKA_CFG_NUM_NETWORK_THREADS
value: "3"
- name: KAFKA_CFG_NUM_PARTITIONS
value: "1"
- name: KAFKA_CFG_NUM_RECOVERY_THREADS_PER_DATA_DIR
value: "1"
- name: KAFKA_CFG_SOCKET_RECEIVE_BUFFER_BYTES
value: "102400"
- name: KAFKA_CFG_SOCKET_REQUEST_MAX_BYTES
value: "104857600"
- name: KAFKA_CFG_SOCKET_SEND_BUFFER_BYTES
value: "102400"
- name: KAFKA_CFG_ZOOKEEPER_CONNECTION_TIMEOUT_MS
value: "6000"
image: docker.io/bitnami/kafka:2.3.0-debian-9-r88
imagePullPolicy: IfNotPresent
livenessProbe:
failureThreshold: 2
initialDelaySeconds: 10
periodSeconds: 10
successThreshold: 1
tcpSocket:
port: kafka
timeoutSeconds: 5
name: kafka
ports:
- containerPort: 9092
name: kafka
protocol: TCP
readinessProbe:
failureThreshold: 6
initialDelaySeconds: 5
periodSeconds: 10
successThreshold: 1
tcpSocket:
port: kafka
timeoutSeconds: 5
resources: {}
terminationMessagePath: /dev/termination-log
terminationMessagePolicy: File
volumeMounts:
- mountPath: /bitnami/kafka
name: data
dnsPolicy: ClusterFirst
restartPolicy: Always
schedulerName: default-scheduler
securityContext:
fsGroup: 1001
runAsUser: 1001
terminationGracePeriodSeconds: 30
updateStrategy:
type: RollingUpdate
volumeClaimTemplates:
- metadata:
creationTimestamp: null
name: data
spec:
accessModes:
- ReadWriteOnce
resources:
requests:
storage: 8Gi
volumeMode: Filesystem
status:
phase: Pending
status:
collisionCount: 0
currentReplicas: 3
currentRevision: kafka-56ff499d74
observedGeneration: 1
readyReplicas: 1
replicas: 3
updateRevision: kafka-56ff499d74
updatedReplicas: 3
发布于 2019-10-30 13:20:49
我看到您在为StatefulSet中的不同荚传递不同的环境变量时遇到了一些困难。
您正试图使用helm模板来实现这一点:
- name: KAFKA_CFG_ADVERTISED_LISTENERS
{{- if $MY_POD_NAME := "kafka-0" }}
value: 'PLAINTEXT://{{ .Values.advertisedListeners1 }}:9092'
{{- else if $MY_POD_NAME := "kafka-1" }}
value: 'PLAINTEXT://{{ .Values.advertisedListeners2 }}:9092'
{{- else if $MY_POD_NAME := "kafka-2" }}
value: 'PLAINTEXT://{{ .Values.advertisedListeners3 }}:9092'
{{- end }}
在舵机模板指南文档中,您可以找到以下解释:
在Helm模板中,变量是对另一个对象的命名引用。它遵循$name格式。变量被分配给一个特殊的赋值运算符::=。
现在让我们看看您的代码:
{{- if $MY_POD_NAME := "kafka-0" }}
这是变量赋值,而不是比较,在此赋值之后,if
语句将该表达式计算为true
,这就是为什么在主集合yaml
清单中将其视为输出的原因:
- name: KAFKA_CFG_ADVERTISED_LISTENERS
value: PLAINTEXT://10.21.0.191:9092
要使它像预期的那样工作,您不应该使用helm模板。不会有效果的。
一种方法是为每个kafka节点创建单独的环境变量,并将所有这些变量传递给所有的荚,如下所示:
- env:
- name: MY_POD_NAME
valueFrom:
fieldRef:
apiVersion: v1
fieldPath: metadata.name
- name: KAFKA_0
value: 10.21.0.191
- name: KAFKA_1
value: 10.21.0.192
- name: KAFKA_2
value: 10.21.0.193
# - name: KAFKA_CFG_ADVERTISED_LISTENERS
# value: PLAINTEXT://$MY_POD_NAME:9092
并使用修改后的启动脚本创建您自己的码头映像,该脚本将根据KAFKA_CFG_ADVERTISED_LISTENERS
导出具有适当值的MY_POD_NAME
变量。
如果您不想创建自己的映像,可以使用修改后的ConfigMap
创建一个entrypoint.sh
,并将其挂载到旧的entrypoint.sh
中(您也可以使用任何其他文件,只需查看这里,了解如何构建卡夫卡图像的更多信息)。
安装ConfigMap
如下所示:
apiVersion: v1
kind: Pod
metadata:
name: test
spec:
containers:
- name: test-container
image: docker.io/bitnami/kafka:2.3.0-debian-9-r88
volumeMounts:
- name: config-volume
mountPath: /entrypoint.sh
subPath: entrypoint.sh
volumes:
- name: config-volume
configMap:
# Provide the name of the ConfigMap containing the files you want
# to add to the container
name: kafka-entrypoint-config
defaultMode: 0744 # remember to add proper (executable) permissions
apiVersion: v1
kind: ConfigMap
metadata:
name: kafka-entrypoint-config
namespace: default
data:
entrypoint.sh: |
#!/bin/bash
# Here add modified entrypoint script
如果有帮助请告诉我。
发布于 2022-03-16 17:26:18
我认为舵图并没有白名单你的外部(库伯内特斯)网络为advertised.listeners。我通过像这样重新配置舵机values.yaml来解决类似的问题。在我的例子中,127.0.0.1网络是mac,您的网络可能有所不同:
externalAccess:
enabled: true
autoDiscovery:
enabled: false
image:
registry: docker.io
repository: bitnami/kubectl
tag: 1.23.4-debian-10-r17
pullPolicy: IfNotPresent
pullSecrets: []
resources:
limits: {}
requests: {}
service:
type: NodePort
port: 9094
loadBalancerIPs: []
loadBalancerSourceRanges: []
nodePorts:
- 30000
- 30001
- 30002
useHostIPs: false
annotations: {}
domain: 127.0.0.1
https://stackoverflow.com/questions/58473341
复制相似问题