我尝试将Spark应用程序提交到Kubernetes集群(Minikube)。 在客户端模式下运行我的spark提交时,一切正常。在3个容器中创建3个执行程序,并执行代码。这是我的提交命令:
[MY_PATH]/bin/spark-submit \
--master k8s://https://[API_SERVER_IP]:8443 \
--deploy-mode client \
--name [Name] \
--class [MyClass] \
--conf spark.kubernetes.container.image=spark:2.4.0 \
--conf spark.executor.instances=3 \
[PATH/TO/MY/JAR].jar
现在,我对其进行了修改以使其能够在集群模式下运行:
[MY_PATH]/bin/spark-submit \
--master k8s://https://[API_SERVER_IP]:8443 \
--deploy-mode cluster \
--name [Name] \
--class [MyClass] \
--conf spark.kubernetes.container.image=spark:2.4.0 \
--conf spark.executor.instances=3 \
local://[PATH/TO/MY/JAR].jar
这一次,将创建一个驱动程序窗格以及一个驱动程序服务,然后该驱动程序窗格将失败。在Kubernetes上,我可以看到以下错误:
MountVolume.SetUp failed for volume "spark-conf-volume" : configmap "sparkpi-1555314081444-driver-conf-map" not found
在pod日志中,我出现了错误:
Forbidden!Configured service account doesn't have access.
Service account may have been revoked.
pods "sparkpi-1555314081444-driver" is forbidden: User "system:serviceaccount:default:default" cannot get resource "pods" in API group "" in the namespace "default".
这是完整的堆栈跟踪:
org.apache.spark.SparkException: External scheduler cannot be instantiated
at org.apache.spark.SparkContext$.org$apache$spark$SparkContext$$createTaskScheduler(SparkContext.scala:2794)
at org.apache.spark.SparkContext.<init>(SparkContext.scala:493)
at org.apache.spark.SparkContext$.getOrCreate(SparkContext.scala:2520)
at org.apache.spark.sql.SparkSession$Builder$$anonfun$7.apply(SparkSession.scala:935)
at org.apache.spark.sql.SparkSession$Builder$$anonfun$7.apply(SparkSession.scala:926)
at scala.Option.getOrElse(Option.scala:121)
at org.apache.spark.sql.SparkSession$Builder.getOrCreate(SparkSession.scala:926)
at org.apache.spark.examples.SparkPi$.main(SparkPi.scala:31)
at org.apache.spark.examples.SparkPi.main(SparkPi.scala)
at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
at sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:62)
at sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
at java.lang.reflect.Method.invoke(Method.java:498)
at org.apache.spark.deploy.JavaMainApplication.start(SparkApplication.scala:52)
at org.apache.spark.deploy.SparkSubmit.org$apache$spark$deploy$SparkSubmit$$runMain(SparkSubmit.scala:849)
at org.apache.spark.deploy.SparkSubmit.doRunMain$1(SparkSubmit.scala:167)
at org.apache.spark.deploy.SparkSubmit.submit(SparkSubmit.scala:195)
at org.apache.spark.deploy.SparkSubmit.doSubmit(SparkSubmit.scala:86)
at org.apache.spark.deploy.SparkSubmit$$anon$2.doSubmit(SparkSubmit.scala:924)
at org.apache.spark.deploy.SparkSubmit$.main(SparkSubmit.scala:933)
at org.apache.spark.deploy.SparkSubmit.main(SparkSubmit.scala)
Caused by: io.fabric8.kubernetes.client.KubernetesClientException: Failure executing: GET at: https://kubernetes.default.svc/api/v1/namespaces/default/pods/sparkpi-1555314081444-driver. Message: Forbidden!Configured service account doesn't have access. Service account may have been revoked. pods "sparkpi-1555314081444-driver" is forbidden: User "system:serviceaccount:default:default" cannot get resource "pods" in API group "" in the namespace "default".
at io.fabric8.kubernetes.client.dsl.base.OperationSupport.requestFailure(OperationSupport.java:470)
at io.fabric8.kubernetes.client.dsl.base.OperationSupport.assertResponseCode(OperationSupport.java:407)
at io.fabric8.kubernetes.client.dsl.base.OperationSupport.handleResponse(OperationSupport.java:379)
at io.fabric8.kubernetes.client.dsl.base.OperationSupport.handleResponse(OperationSupport.java:343)
at io.fabric8.kubernetes.client.dsl.base.OperationSupport.handleGet(OperationSupport.java:312)
at io.fabric8.kubernetes.client.dsl.base.OperationSupport.handleGet(OperationSupport.java:295)
at io.fabric8.kubernetes.client.dsl.base.BaseOperation.handleGet(BaseOperation.java:783)
at io.fabric8.kubernetes.client.dsl.base.BaseOperation.getMandatory(BaseOperation.java:217)
at io.fabric8.kubernetes.client.dsl.base.BaseOperation.get(BaseOperation.java:184)
at org.apache.spark.scheduler.cluster.k8s.ExecutorPodsAllocator$$anonfun$1.apply(ExecutorPodsAllocator.scala:57)
at org.apache.spark.scheduler.cluster.k8s.ExecutorPodsAllocator$$anonfun$1.apply(ExecutorPodsAllocator.scala:55)
at scala.Option.map(Option.scala:146)
at org.apache.spark.scheduler.cluster.k8s.ExecutorPodsAllocator.<init>(ExecutorPodsAllocator.scala:55)
at org.apache.spark.scheduler.cluster.k8s.KubernetesClusterManager.createSchedulerBackend(KubernetesClusterManager.scala:89)
at org.apache.spark.SparkContext$.org$apache$spark$SparkContext$$createTaskScheduler(SparkContext.scala:2788)
... 20 more
我应该怎么做才能使其正常工作?
答案 0 :(得分:3)
您必须创建一个授权的服务帐户:https://spark.apache.org/docs/latest/running-on-kubernetes.html#rbac
kubectl create serviceaccount spark
kubectl create clusterrolebinding spark-role --clusterrole=edit --serviceaccount=default:spark --namespace=default
然后将其作为参数传递给提交
--conf spark.kubernetes.authenticate.driver.serviceAccountName=spark