Zeppelin k8s:更改解释器 pod 配置 [英] Zeppelin k8s: change interpreter pod configuration
本文介绍了Zeppelin k8s:更改解释器 pod 配置的处理方法，对大家解决问题具有一定的参考价值，需要的朋友们下面随着小编来一起学习吧！
问题描述
我已经使用以下命令在 kubernetes 上配置了我的 zeppelin:
I've configured my zeppelin on kubernetes using:
apiVersion: apps/v1
kind: Deployment
metadata:
name: zeppelin
labels: [...]
spec:
replicas: 1
selector:
matchLabels:
app.kubernetes.io/name: zeppelin
app.kubernetes.io/instance: zeppelin
template:
metadata:
labels:
app.kubernetes.io/name: zeppelin
app.kubernetes.io/instance: zeppelin
spec:
serviceAccountName: zeppelin
containers:
- name: zeppelin
image: "apache/zeppelin:0.9.0"
imagePullPolicy: IfNotPresent
ports:
- name: http
containerPort: 8080
protocol: TCP
[...]
env:
- name: ZEPPELIN_PORT
value: "8080"
- name: ZEPPELIN_K8S_CONTAINER_IMAGE
value: apache/zeppelin:0.9.0
- name: ZEPPELIN_RUN_MODE
value: k8s
- name: ZEPPELIN_K8S_SPARK_CONTAINER_IMAGE
value: docker-registry.default.svc:5000/ra-iot-dev/spark:2.4.5
当执行一个新的段落作业时，zeppelin 因为在 k8s 模式下运行会创建一个 pod:
When a new paragraph job is performed, zeppelin since is running in k8s mode creates a pod:
$ kubectl get pods
NAME READY STATUS RESTARTS AGE
spark-ghbvld 0/1 Completed 0 9m -----<<<<<<<
spark-master-0 1/1 Running 0 38m
spark-worker-0 1/1 Running 0 38m
zeppelin-6cc658d59f-gk2lp 1/1 Running 0 24m
很快，这个容器开始首先将 spark home 文件夹从 ZEPPELIN_K8S_SPARK_CONTAINER_IMAGE 复制到主容器中，然后执行解释器.
Shortly, this container is engaged to first copy spark home folder from ZEPPELIN_K8S_SPARK_CONTAINER_IMAGE into main container and then executes interpreter.
问题出现在这里:
我在创建的 pod 上收到此错误消息:
I'm getting this error message on created pod:
Interpreter launch command: /usr/lib/jvm/java-8-openjdk-amd64/bin/java -Dfile.encoding=UTF-8 -Dlog4j.configuration=file:///zeppelin/conf/log4j.properties -Dzeppelin.log.file='/zeppelin/logs/zeppelin-interpreter-spark-shared_process--spark-ghbvld.log' -Xms1024m -Xmx2048m -XX:MaxPermSize=512m -cp ":/zeppelin/interpreter/spark/dep/*:/zeppelin/interpreter/spark/*::/zeppelin/interpreter/zeppelin-interpreter-shaded-0.9.0-preview1.jar" org.apache.zeppelin.interpreter.remote.RemoteInterpreterServer zeppelin-6cc658d59f-gk2lp.ra-iot-dev.svc 36161 "spark-shared_process" 12321:12321
OpenJDK 64-Bit Server VM warning: ignoring option MaxPermSize=512m; support was removed in 8.0
SLF4J: Class path contains multiple SLF4J bindings.
SLF4J: Found binding in [jar:file:/zeppelin/interpreter/spark/dep/zeppelin-spark-dependencies-0.9.0-preview1.jar!/org/slf4j/impl/StaticLoggerBinder.class]
SLF4J: Found binding in [jar:file:/zeppelin/interpreter/spark/spark-interpreter-0.9.0-preview1.jar!/org/slf4j/impl/StaticLoggerBinder.class]
SLF4J: See http://www.slf4j.org/codes.html#multiple_bindings for an explanation.
SLF4J: Actual binding is of type [org.slf4j.impl.Log4jLoggerFactory]
WARN [2020-06-05 06:35:05,694] ({main} ZeppelinConfiguration.java[create]:159) - Failed to load configuration, proceeding with a default
INFO [2020-06-05 06:35:05,745] ({main} ZeppelinConfiguration.java[create]:171) - Server Host: 0.0.0.0
Exception in thread "main" java.lang.NumberFormatException: For input string: "tcp://172.30.203.33:80"
at java.lang.NumberFormatException.forInputString(NumberFormatException.java:65)
at java.lang.Integer.parseInt(Integer.java:580)
at java.lang.Integer.parseInt(Integer.java:615)
at org.apache.zeppelin.conf.ZeppelinConfiguration.getInt(ZeppelinConfiguration.java:248)
at org.apache.zeppelin.conf.ZeppelinConfiguration.getInt(ZeppelinConfiguration.java:243)
at org.apache.zeppelin.conf.ZeppelinConfiguration.getServerPort(ZeppelinConfiguration.java:327)
at org.apache.zeppelin.conf.ZeppelinConfiguration.create(ZeppelinConfiguration.java:173)
at org.apache.zeppelin.interpreter.remote.RemoteInterpreterServer.<init>(RemoteInterpreterServer.java:144)
at org.apache.zeppelin.interpreter.remote.RemoteInterpreterServer.<init>(RemoteInterpreterServer.java:152)
at org.apache.zeppelin.interpreter.remote.RemoteInterpreterServer.main(RemoteInterpreterServer.java:321)
如您所见，主要问题是:
As you can see, main problem is:
线程main"中的异常java.lang.NumberFormatException:对于输入字符串:tcp://172.30.203.33:80"
Exception in thread "main" java.lang.NumberFormatException: For input string: "tcp://172.30.203.33:80"
我尝试使用 zeppelin Web 前端在解释器配置上添加 zeppelin.server.port 属性，导航到 Interpreters ->Spark 解释器 ->添加属性，见下图:
I've tried to add zeppelin.server.port property on interpreter configuration using zeppelin web frontend, navigating to Interpreters -> Spark Interpreter -> add property, see bellow:
然而，问题一直存在.
关于如何在生成的解释器 pod 上覆盖 zeppelin.server.port 或 ZEPPELIN_PORT 的任何想法?
Any ideas about how to override zeppelin.server.port, or ZEPPELIN_PORT on generated interpreter pod?
我还转储了由 zeppelin 创建的解释器 pod 清单:
I also dump interpreter pod manifest created by zeppelin:
$ kubectl get pods -o=yaml spark-ghbvld
apiVersion: v1
kind: Pod
metadata:
annotations:
kubectl.kubernetes.io/last-applied-configuration: |
{"apiVersion":"v1","kind":"Pod","metadata":{"annotations":{},"labels":{"app":"spark-ghbvld","interpreterGroupId":"spark-shared_process","interpreterSettingName":"spark"},"name":"spark-ghbvld","namespace":"ra-iot-dev"},"spec":{"automountServiceAccountToken":true,"containers":[{"command":["sh","-c","$(ZEPPELIN_HOME)/bin/interpreter.sh -d $(ZEPPELIN_HOME)/interpreter/spark -r 12321:12321 -c zeppelin-6cc658d59f-gk2lp.ra-iot-dev.svc -p 36161 -i spark-shared_process -l /tmp/local-repo -g spark"],"env":[{"name":"PYSPARK_PYTHON","value":"python"},{"name":"PYSPARK_DRIVER_PYTHON","value":"python"},{"name":"SERVICE_DOMAIN","value":null},{"name":"ZEPPELIN_HOME","value":"/zeppelin"},{"name":"INTERPRETER_GROUP_ID","value":"spark-shared_process"},{"name":"SPARK_HOME","value":null}],"image":"apache/zeppelin:0.9.0","lifecycle":{"preStop":{"exec":{"command":["sh","-c","ps -ef | grep org.apache.zeppelin.interpreter.remote.RemoteInterpreterServer | grep -v grep | awk '{print $2}' | xargs kill"]}}},"name":"spark","volumeMounts":[{"mountPath":"/spark","name":"spark-home"}]}],"initContainers":[{"command":["sh","-c","cp -r /opt/spark/* /spark/"],"image":"docker-registry.default.svc:5000/ra-iot-dev/spark:2.4.5","name":"spark-home-init","volumeMounts":[{"mountPath":"/spark","name":"spark-home"}]}],"restartPolicy":"Never","terminationGracePeriodSeconds":30,"volumes":[{"emptyDir":{},"name":"spark-home"}]}}
openshift.io/scc: anyuid
creationTimestamp: "2020-06-05T06:34:36Z"
labels:
app: spark-ghbvld
interpreterGroupId: spark-shared_process
interpreterSettingName: spark
name: spark-ghbvld
namespace: ra-iot-dev
resourceVersion: "224863130"
selfLink: /api/v1/namespaces/ra-iot-dev/pods/spark-ghbvld
uid: a04a0d70-a6f6-11ea-9e39-0050569f5f65
spec:
automountServiceAccountToken: true
containers:
- command:
- sh
- -c
- $(ZEPPELIN_HOME)/bin/interpreter.sh -d $(ZEPPELIN_HOME)/interpreter/spark -r
12321:12321 -c zeppelin-6cc658d59f-gk2lp.ra-iot-dev.svc -p 36161 -i spark-shared_process
-l /tmp/local-repo -g spark
env:
- name: PYSPARK_PYTHON
value: python
- name: PYSPARK_DRIVER_PYTHON
value: python
- name: SERVICE_DOMAIN
- name: ZEPPELIN_HOME
value: /zeppelin
- name: INTERPRETER_GROUP_ID
value: spark-shared_process
- name: SPARK_HOME
image: apache/zeppelin:0.9.0
imagePullPolicy: IfNotPresent
lifecycle:
preStop:
exec:
command:
- sh
- -c
- ps -ef | grep org.apache.zeppelin.interpreter.remote.RemoteInterpreterServer
| grep -v grep | awk '{print $2}' | xargs kill
name: spark
resources: {}
securityContext:
capabilities:
drop:
- MKNOD
terminationMessagePath: /dev/termination-log
terminationMessagePolicy: File
volumeMounts:
- mountPath: /spark
name: spark-home
- mountPath: /var/run/secrets/kubernetes.io/serviceaccount
name: default-token-n4lpw
readOnly: true
dnsPolicy: ClusterFirst
imagePullSecrets:
- name: default-dockercfg-qs7sj
initContainers:
- command:
- sh
- -c
- cp -r /opt/spark/* /spark/
image: docker-registry.default.svc:5000/ra-iot-dev/spark:2.4.5
imagePullPolicy: IfNotPresent
name: spark-home-init
resources: {}
securityContext:
capabilities:
drop:
- MKNOD
terminationMessagePath: /dev/termination-log
terminationMessagePolicy: File
volumeMounts:
- mountPath: /spark
name: spark-home
- mountPath: /var/run/secrets/kubernetes.io/serviceaccount
name: default-token-n4lpw
readOnly: true
nodeName: node2.si-origin-cluster.t-systems.es
nodeSelector:
region: primary
priority: 0
restartPolicy: Never
schedulerName: default-scheduler
securityContext:
seLinuxOptions:
level: s0:c30,c0
serviceAccount: default
serviceAccountName: default
terminationGracePeriodSeconds: 30
volumes:
- emptyDir: {}
name: spark-home
- name: default-token-n4lpw
secret:
defaultMode: 420
secretName: default-token-n4lpw
status:
conditions:
- lastProbeTime: null
lastTransitionTime: "2020-06-05T06:35:03Z"
reason: PodCompleted
status: "True"
type: Initialized
- lastProbeTime: null
lastTransitionTime: "2020-06-05T06:35:07Z"
reason: PodCompleted
status: "False"
type: Ready
- lastProbeTime: null
lastTransitionTime: null
reason: PodCompleted
status: "False"
type: ContainersReady
- lastProbeTime: null
lastTransitionTime: "2020-06-05T06:34:37Z"
status: "True"
type: PodScheduled
containerStatuses:
- containerID: docker://8c3977241a20be1600180525e4f8b737c8dc5954b6dc0826a7fc703ff6020a70
image: docker.io/apache/zeppelin:0.9.0
imageID: docker-pullable://docker.io/apache/zeppelin@sha256:0691909f6884319d366f5d3a5add8802738d6240a83b2e53e980caeb6c658092
lastState: {}
name: spark
ready: false
restartCount: 0
state:
terminated:
containerID: docker://8c3977241a20be1600180525e4f8b737c8dc5954b6dc0826a7fc703ff6020a70
exitCode: 0
finishedAt: "2020-06-05T06:35:05Z"
reason: Completed
startedAt: "2020-06-05T06:35:05Z"
hostIP: 10.49.160.21
initContainerStatuses:
- containerID: docker://34701d70eec47367a928dc382326014c76fc49c95be92562e68911f36b4c6242
image: docker-registry.default.svc:5000/ra-iot-dev/spark:2.4.5
imageID: docker-pullable://docker-registry.default.svc:5000/ra-iot-dev/spark@sha256:1cbcdacbcc55b2fc97795a4f051429f69ff3666abbd936e08e180af93a11ab65
lastState: {}
name: spark-home-init
ready: true
restartCount: 0
state:
terminated:
containerID: docker://34701d70eec47367a928dc382326014c76fc49c95be92562e68911f36b4c6242
exitCode: 0
finishedAt: "2020-06-05T06:35:02Z"
reason: Completed
startedAt: "2020-06-05T06:35:02Z"
phase: Succeeded
podIP: 10.131.0.203
qosClass: BestEffort
startTime: "2020-06-05T06:34:37Z"
环境变量:
PATH=/opt/conda/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin
HOSTNAME=spark-xonray2
PYSPARK_PYTHON=python
PYSPARK_DRIVER_PYTHON=python
SERVICE_DOMAIN=
ZEPPELIN_HOME=/zeppelin
INTERPRETER_GROUP_ID=spark-shared_process
SPARK_HOME=
GLUSTERFS_DYNAMIC_2ECF75EB_A4D2_11EA_9E39_0050569F5F65_PORT_1_TCP_PORT=1
MONGODB_PORT_27017_TCP_PORT=27017
GLUSTERFS_DYNAMIC_3673E93E_9E97_11EA_9E39_0050569F5F65_PORT_1_TCP_PORT=1
GLUSTERFS_DYNAMIC_C6419348_9FEB_11EA_9E39_0050569F5F65_PORT_1_TCP_ADDR=172.30.50.211
ZEPPELIN_PORT_80_TCP_ADDR=172.30.57.29
MONGODB_PORT=tcp://172.30.240.109:27017
MONGODB_PORT_27017_TCP=tcp://172.30.240.109:27017
SPARK_MASTER_SVC_PORT_7077_TCP_PROTO=tcp
SPARK_MASTER_SVC_PORT_7077_TCP_ADDR=172.30.88.254
SPARK_MASTER_SVC_PORT_80_TCP=tcp://172.30.88.254:80
MONGODB_PORT_27017_TCP_PROTO=tcp
KAFKA_0_EXTERNAL_PORT=tcp://172.30.235.145:9094
KAFKA_PORT_9092_TCP=tcp://172.30.164.40:9092
KUBERNETES_PORT_53_UDP_PROTO=udp
ZOOKEEPER_PORT_2888_TCP=tcp://172.30.222.17:2888
ZEPPELIN_PORT_80_TCP=tcp://172.30.57.29:80
ZEPPELIN_PORT_80_TCP_PROTO=tcp
GLUSTERFS_DYNAMIC_2ECF75EB_A4D2_11EA_9E39_0050569F5F65_SERVICE_HOST=172.30.133.154
GLUSTERFS_DYNAMIC_025DF8B3_A642_11EA_9E39_0050569F5F65_PORT_1_TCP_PORT=1
GLUSTERFS_DYNAMIC_247E77C4_9F59_11EA_9E39_0050569F5F65_PORT_1_TCP=tcp://172.30.245.33:1
GLUSTERFS_DYNAMIC_85199C48_9E97_11EA_9E39_0050569F5F65_PORT_1_TCP=tcp://172.30.117.125:1
GLUSTERFS_DYNAMIC_2ECF75EB_A4D2_11EA_9E39_0050569F5F65_PORT_1_TCP_PROTO=tcp
ORION_PORT_80_TCP_ADDR=172.30.55.76
SPARK_MASTER_SVC_PORT_7077_TCP_PORT=7077
GLUSTERFS_DYNAMIC_025DF8B3_A642_11EA_9E39_0050569F5F65_SERVICE_HOST=172.30.229.165
GLUSTERFS_DYNAMIC_85199C48_9E97_11EA_9E39_0050569F5F65_PORT_1_TCP_PROTO=tcp
GLUSTERFS_DYNAMIC_243832C0_9F59_11EA_9E39_0050569F5F65_PORT_1_TCP_PROTO=tcp
KAFKA_0_EXTERNAL_PORT_9094_TCP_ADDR=172.30.235.145
KAFKA_PORT_9092_TCP_PORT=9092
GLUSTERFS_DYNAMIC_247E77C4_9F59_11EA_9E39_0050569F5F65_SERVICE_HOST=172.30.245.33
GLUSTERFS_DYNAMIC_247E77C4_9F59_11EA_9E39_0050569F5F65_PORT_1_TCP_PORT=1
GLUSTERFS_DYNAMIC_C6419348_9FEB_11EA_9E39_0050569F5F65_PORT_1_TCP_PROTO=tcp
ZOOKEEPER_SERVICE_HOST=172.30.222.17
ZEPPELIN_SERVICE_PORT=80
KAFKA_0_EXTERNAL_SERVICE_PORT=9094
GREENPLUM_SERVICE_PORT_HTTP=5432
KAFKA_0_EXTERNAL_SERVICE_HOST=172.30.235.145
GLUSTERFS_DYNAMIC_3673E93E_9E97_11EA_9E39_0050569F5F65_SERVICE_PORT=1
GLUSTERFS_DYNAMIC_3673E93E_9E97_11EA_9E39_0050569F5F65_PORT_1_TCP_PROTO=tcp
KUBERNETES_SERVICE_HOST=172.30.0.1
ZOOKEEPER_PORT_2181_TCP_PROTO=tcp
ZOOKEEPER_PORT_3888_TCP_PORT=3888
ORION_PORT_80_TCP_PORT=80
MONGODB_SERVICE_PORT_MONGODB=27017
KUBERNETES_PORT_443_TCP_ADDR=172.30.0.1
ZOOKEEPER_PORT_2888_TCP_ADDR=172.30.222.17
SPARK_MASTER_SVC_SERVICE_PORT_HTTP=80
GREENPLUM_SERVICE_PORT=5432
GREENPLUM_PORT_5432_TCP_PORT=5432
GLUSTERFS_DYNAMIC_85199C48_9E97_11EA_9E39_0050569F5F65_SERVICE_PORT=1
ZOOKEEPER_PORT_3888_TCP=tcp://172.30.222.17:3888
ZOOKEEPER_PORT_3888_TCP_PROTO=tcp
MONGODB_SERVICE_PORT=27017
KAFKA_SERVICE_PORT_TCP_CLIENT=9092
GLUSTERFS_DYNAMIC_C6419348_9FEB_11EA_9E39_0050569F5F65_SERVICE_HOST=172.30.50.211
ZOOKEEPER_SERVICE_PORT_TCP_CLIENT=2181
ZOOKEEPER_SERVICE_PORT_FOLLOWER=2888
KAFKA_SERVICE_PORT=9092
SPARK_MASTER_SVC_PORT_80_TCP_PORT=80
GLUSTERFS_DYNAMIC_C6419348_9FEB_11EA_9E39_0050569F5F65_PORT_1_TCP=tcp://172.30.50.211:1
ORION_SERVICE_HOST=172.30.55.76
KAFKA_PORT_9092_TCP_PROTO=tcp
GLUSTERFS_DYNAMIC_85199C48_9E97_11EA_9E39_0050569F5F65_PORT_1_TCP_PORT=1
KUBERNETES_SERVICE_PORT_HTTPS=443
KUBERNETES_PORT_53_UDP=udp://172.30.0.1:53
KUBERNETES_PORT_53_UDP_ADDR=172.30.0.1
GLUSTERFS_DYNAMIC_243832C0_9F59_11EA_9E39_0050569F5F65_PORT_1_TCP_PORT=1
GLUSTERFS_DYNAMIC_025DF8B3_A642_11EA_9E39_0050569F5F65_PORT_1_TCP_PROTO=tcp
ZOOKEEPER_PORT_3888_TCP_ADDR=172.30.222.17
ZEPPELIN_SERVICE_PORT_HTTP=80
ORION_PORT_80_TCP=tcp://172.30.55.76:80
GREENPLUM_PORT_5432_TCP_PROTO=tcp
SPARK_MASTER_SVC_PORT=tcp://172.30.88.254:7077
GLUSTERFS_DYNAMIC_243832C0_9F59_11EA_9E39_0050569F5F65_SERVICE_HOST=172.30.178.127
MONGODB_SERVICE_HOST=172.30.240.109
GLUSTERFS_DYNAMIC_247E77C4_9F59_11EA_9E39_0050569F5F65_SERVICE_PORT=1
GLUSTERFS_DYNAMIC_247E77C4_9F59_11EA_9E39_0050569F5F65_PORT_1_TCP_ADDR=172.30.245.33
KUBERNETES_PORT_53_TCP_ADDR=172.30.0.1
GLUSTERFS_DYNAMIC_243832C0_9F59_11EA_9E39_0050569F5F65_PORT=tcp://172.30.178.127:1
ORION_PORT=tcp://172.30.55.76:80
GREENPLUM_PORT_5432_TCP_ADDR=172.30.0.147
GLUSTERFS_DYNAMIC_025DF8B3_A642_11EA_9E39_0050569F5F65_PORT_1_TCP=tcp://172.30.229.165:1
GLUSTERFS_DYNAMIC_C6419348_9FEB_11EA_9E39_0050569F5F65_PORT=tcp://172.30.50.211:1
ORION_SERVICE_PORT=80
ORION_PORT_80_TCP_PROTO=tcp
KAFKA_0_EXTERNAL_PORT_9094_TCP=tcp://172.30.235.145:9094
GLUSTERFS_DYNAMIC_3673E93E_9E97_11EA_9E39_0050569F5F65_PORT=tcp://172.30.167.19:1
GLUSTERFS_DYNAMIC_025DF8B3_A642_11EA_9E39_0050569F5F65_SERVICE_PORT=1
GLUSTERFS_DYNAMIC_025DF8B3_A642_11EA_9E39_0050569F5F65_PORT_1_TCP_ADDR=172.30.229.165
GLUSTERFS_DYNAMIC_247E77C4_9F59_11EA_9E39_0050569F5F65_PORT_1_TCP_PROTO=tcp
KAFKA_0_EXTERNAL_SERVICE_PORT_TCP_KAFKA=9094
KAFKA_0_EXTERNAL_PORT_9094_TCP_PROTO=tcp
SPARK_MASTER_SVC_SERVICE_HOST=172.30.88.254
KUBERNETES_SERVICE_PORT_DNS_TCP=53
KUBERNETES_PORT_53_UDP_PORT=53
GLUSTERFS_DYNAMIC_243832C0_9F59_11EA_9E39_0050569F5F65_PORT_1_TCP=tcp://172.30.178.127:1
ZEPPELIN_SERVICE_HOST=172.30.57.29
GLUSTERFS_DYNAMIC_2ECF75EB_A4D2_11EA_9E39_0050569F5F65_SERVICE_PORT=1
SPARK_MASTER_SVC_PORT_80_TCP_ADDR=172.30.88.254
KUBERNETES_PORT=tcp://172.30.0.1:443
ZOOKEEPER_PORT_2181_TCP_PORT=2181
ZOOKEEPER_PORT_2888_TCP_PROTO=tcp
SPARK_MASTER_SVC_SERVICE_PORT=7077
GLUSTERFS_DYNAMIC_247E77C4_9F59_11EA_9E39_0050569F5F65_PORT=tcp://172.30.245.33:1
GLUSTERFS_DYNAMIC_025DF8B3_A642_11EA_9E39_0050569F5F65_PORT=tcp://172.30.229.165:1
GLUSTERFS_DYNAMIC_C6419348_9FEB_11EA_9E39_0050569F5F65_PORT_1_TCP_PORT=1
ZOOKEEPER_SERVICE_PORT_TCP_ELECTION=3888
ZOOKEEPER_PORT=tcp://172.30.222.17:2181
ZOOKEEPER_PORT_2181_TCP_ADDR=172.30.222.17
SPARK_MASTER_SVC_PORT_7077_TCP=tcp://172.30.88.254:7077
KUBERNETES_SERVICE_PORT_DNS=53
KUBERNETES_PORT_443_TCP=tcp://172.30.0.1:443
ZEPPELIN_PORT_80_TCP_PORT=80
KAFKA_0_EXTERNAL_PORT_9094_TCP_PORT=9094
GREENPLUM_SERVICE_HOST=172.30.0.147
GLUSTERFS_DYNAMIC_85199C48_9E97_11EA_9E39_0050569F5F65_PORT=tcp://172.30.117.125:1
GLUSTERFS_DYNAMIC_2ECF75EB_A4D2_11EA_9E39_0050569F5F65_PORT=tcp://172.30.133.154:1
GLUSTERFS_DYNAMIC_2ECF75EB_A4D2_11EA_9E39_0050569F5F65_PORT_1_TCP_ADDR=172.30.133.154
GLUSTERFS_DYNAMIC_3673E93E_9E97_11EA_9E39_0050569F5F65_PORT_1_TCP_ADDR=172.30.167.19
KUBERNETES_PORT_53_TCP_PROTO=tcp
GLUSTERFS_DYNAMIC_243832C0_9F59_11EA_9E39_0050569F5F65_SERVICE_PORT=1
ORION_SERVICE_PORT_HTTP=80
GLUSTERFS_DYNAMIC_3673E93E_9E97_11EA_9E39_0050569F5F65_PORT_1_TCP=tcp://172.30.167.19:1
SPARK_MASTER_SVC_SERVICE_PORT_CLUSTER=7077
KAFKA_SERVICE_HOST=172.30.164.40
GREENPLUM_PORT=tcp://172.30.0.147:5432
GLUSTERFS_DYNAMIC_85199C48_9E97_11EA_9E39_0050569F5F65_PORT_1_TCP_ADDR=172.30.117.125
KUBERNETES_PORT_53_TCP=tcp://172.30.0.1:53
GLUSTERFS_DYNAMIC_243832C0_9F59_11EA_9E39_0050569F5F65_PORT_1_TCP_ADDR=172.30.178.127
ZEPPELIN_PORT=tcp://172.30.57.29:80
KAFKA_PORT=tcp://172.30.164.40:9092
KUBERNETES_PORT_443_TCP_PORT=443
KUBERNETES_PORT_53_TCP_PORT=53
SPARK_MASTER_SVC_PORT_80_TCP_PROTO=tcp
KUBERNETES_SERVICE_PORT=443
GLUSTERFS_DYNAMIC_C6419348_9FEB_11EA_9E39_0050569F5F65_SERVICE_PORT=1
GLUSTERFS_DYNAMIC_85199C48_9E97_11EA_9E39_0050569F5F65_SERVICE_HOST=172.30.117.125
MONGODB_PORT_27017_TCP_ADDR=172.30.240.109
GREENPLUM_PORT_5432_TCP=tcp://172.30.0.147:5432
KUBERNETES_PORT_443_TCP_PROTO=tcp
KAFKA_PORT_9092_TCP_ADDR=172.30.164.40
ZOOKEEPER_SERVICE_PORT=2181
ZOOKEEPER_PORT_2181_TCP=tcp://172.30.222.17:2181
ZOOKEEPER_PORT_2888_TCP_PORT=2888
GLUSTERFS_DYNAMIC_2ECF75EB_A4D2_11EA_9E39_0050569F5F65_PORT_1_TCP=tcp://172.30.133.154:1
GLUSTERFS_DYNAMIC_3673E93E_9E97_11EA_9E39_0050569F5F65_SERVICE_HOST=172.30.167.19
Z_VERSION=0.9.0-preview1
LOG_TAG=[ZEPPELIN_0.9.0-preview1]:
Z_HOME=/zeppelin
LANG=en_US.UTF-8
LC_ALL=en_US.UTF-8
ZEPPELIN_ADDR=0.0.0.0
JAVA_HOME=/usr/lib/jvm/java-8-openjdk-amd64
HOME=/
推荐答案
ZEPPELIN_PORT 是由 k8s 服务发现设置的，因为你的 pod/服务名称是 zeppelin！
ZEPPELIN_PORT is set by k8s service discovery, because your pod/service name is zeppelin!
只需通过其他方式更改 pod/服务名称，或禁用发现环境变量，请参阅 https://kubernetes.io/docs/concepts/services-networking/connect-applications-service/#accessing-the-service，这只是enableServiceLinks: false 在您的 zeppelin pod 模板定义中.
Just change pod / service name by something else, or disable discovery env variables, see https://kubernetes.io/docs/concepts/services-networking/connect-applications-service/#accessing-the-service, this is just enableServiceLinks: false in your zeppelin pod template definition.
这篇关于Zeppelin k8s:更改解释器 pod 配置的文章就介绍到这了，希望我们推荐的答案对大家有所帮助，也希望大家多多支持IT屋！
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