Hi,
*We are running spark batch jobs on K8s.*
*Kubernetes version:* 1.11.5 ,
* spark version*: 2.3.2,
* docker version:* 19.3.8
*Issue: Few Driver pods are stuck in running state indefinitely with
error*
```
The Initial job has not accepted any resources; check your cluster UI to
ensure that workers are registered and have sufficient resources.
```
*Below is the log of the errored out executor pods*
```
Exception in thread "main" java.lang.reflect.UndeclaredThrowableException
at
org.apache.hadoop.security.UserGroupInformation.doAs(UserGroupInformation.java:1858)
at
org.apache.spark.deploy.SparkHadoopUtil.runAsSparkUser(SparkHadoopUtil.scala:63)
at
org.apache.spark.executor.CoarseGrainedExecutorBackend$.run(CoarseGrainedExecutorBackend.scala:188)
at
org.apache.spark.executor.CoarseGrainedExecutorBackend$.main(CoarseGrainedExecutorBackend.scala:293)
at
org.apache.spark.executor.CoarseGrainedExecutorBackend.main(CoarseGrainedExecutorBackend.scala)
Caused by: org.apache.spark.SparkException: Exception thrown in
awaitResult:
at org.apache.spark.util.ThreadUtils$.awaitResult(ThreadUtils.scala:205)
at org.apache.spark.rpc.RpcTimeout.awaitResult(RpcTimeout.scala:75)
at org.apache.spark.rpc.RpcEnv.setupEndpointRefByURI(RpcEnv.scala:101)
at
org.apache.spark.executor.CoarseGrainedExecutorBackend$$anonfun$run$1.apply$mcV$sp(CoarseGrainedExecutorBackend.scala:201)
at
org.apache.spark.deploy.SparkHadoopUtil$$anon$2.run(SparkHadoopUtil.scala:64)
at
org.apache.spark.deploy.SparkHadoopUtil$$anon$2.run(SparkHadoopUtil.scala:63)
at java.security.AccessController.doPrivileged(Native Method)
at javax.security.auth.Subject.doAs(Subject.java:422)
at
org.apache.hadoop.security.UserGroupInformation.doAs(UserGroupInformation.java:1840)
... 4 more
Caused by: java.io.IOException: Failed to connect to
spark-1586333186571-driver-svc.fractal-segmentation.svc:7078
at
org.apache.spark.network.client.TransportClientFactory.createClient(TransportClientFactory.java:245)
at
org.apache.spark.network.client.TransportClientFactory.createClient(TransportClientFactory.java:187)
at
org.apache.spark.rpc.netty.NettyRpcEnv.createClient(NettyRpcEnv.scala:198)
at org.apache.spark.rpc.netty.Outbox$$anon$1.call(Outbox.scala:194)
at org.apache.spark.rpc.netty.Outbox$$anon$1.call(Outbox.scala:190)
at java.util.concurrent.FutureTask.run(FutureTask.java:266)
at
java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1149)
at
java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:624)
at java.lang.Thread.run(Thread.java:748)
Caused by: java.net.UnknownHostException:
spark-1586333186571-driver-svc.fractal-segmentation.svc
at java.net.InetAddress.getAllByName0(InetAddress.java:1280)
at java.net.InetAddress.getAllByName(InetAddress.java:1192)
at java.net.InetAddress.getAllByName(InetAddress.java:1126)
at java.net.InetAddress.getByName(InetAddress.java:1076)
at io.netty.util.internal.SocketUtils$8.run(SocketUtils.java:146)
at io.netty.util.internal.SocketUtils$8.run(SocketUtils.java:143)
at java.security.AccessController.doPrivileged(Native Method)
at io.netty.util.internal.SocketUtils.addressByName(SocketUtils.java:143)
at
io.netty.resolver.DefaultNameResolver.doResolve(DefaultNameResolver.java:43)
at io.netty.resolver.SimpleNameResolver.resolve(SimpleNameResolver.java:63)
at io.netty.resolver.SimpleNameResolver.resolve(SimpleNameResolver.java:55)
at
io.netty.resolver.InetSocketAddressResolver.doResolve(InetSocketAddressResolver.java:57)
at
io.netty.resolver.InetSocketAddressResolver.doResolve(InetSocketAddressResolver.java:32)
at
io.netty.resolver.AbstractAddressResolver.resolve(AbstractAddressResolver.java:108)
at io.netty.bootstrap.Bootstrap.doResolveAndConnect0(Bootstrap.java:208)
at io.netty.bootstrap.Bootstrap.access$000(Bootstrap.java:49)
at io.netty.bootstrap.Bootstrap$1.operationComplete(Bootstrap.java:188)
at io.netty.bootstrap.Bootstrap$1.operationComplete(Bootstrap.java:174)
at
io.netty.util.concurrent.DefaultPromise.notifyListener0(DefaultPromise.java:507)
at
io.netty.util.concurrent.DefaultPromise.notifyListenersNow(DefaultPromise.java:481)
at
io.netty.util.concurrent.DefaultPromise.notifyListeners(DefaultPromise.java:420)
at
io.netty.util.concurrent.DefaultPromise.trySuccess(DefaultPromise.java:104)
at
io.netty.channel.DefaultChannelPromise.trySuccess(DefaultChannelPromise.java:82)
at
io.netty.channel.AbstractChannel$AbstractUnsafe.safeSetSuccess(AbstractChannel.java:978)
at
io.netty.channel.AbstractChannel$AbstractUnsafe.register0(AbstractChannel.java:512)
at
io.netty.channel.AbstractChannel$AbstractUnsafe.access$200(AbstractChannel.java:423)
at
io.netty.channel.AbstractChannel$AbstractUnsafe$1.run(AbstractChannel.java:482)
at
io.netty.util.concurrent.AbstractEventExecutor.safeExecute(AbstractEventExecutor.java:163)
at
io.netty.util.concurrent.SingleThreadEventExecutor.runAllTasks(SingleThreadEventExecutor.java:403)
at io.netty.channel.nio.NioEventLoop.run(NioEventLoop.java:463)
at
io.netty.util.concurrent.SingleThreadEventExecutor$5.run(SingleThreadEventExecutor.java:858)
at
io.netty.util.concurrent.DefaultThreadFactory$DefaultRunnableDecorator.run(DefaultThreadFactory.java:138)
... 1 more
```
*The stuck driver pod and errored executor pods are running on different
nodes but what i observed is some other driver pods and executor pods ran
successfully on the nodes on which executor pod errored out.*
*When i checked calico pods on those nodes i don't see network related
errors but i see below error in kube-proxy pods and i also see that service
is created for the stuck driver pods.*
```
E0408 06:39:01.649573 1 proxier.go:1306] Failed to execute
iptables-restore: exit status 1 (iptables-restore: line 988 failed
)
I0408 06:39:01.649619 1 proxier.go:1308] Closing local ports
after iptables-restore failure
```
*My understanding was as the services created for drivers are headless,
connectivity between executor and driver is established by executor
directly hitting driver pod IP and there is no involvement of kube-proxy in
routing the request to driver pod. *
*Is there a way to find the root cause for this issue, if it's not k8s
related could there be any kernel, docker or mismatch of the versions i am
using.*
*The cluster was created 35 days ago and I have been seeing this issue for
the past 4 days.*
*Appreciate the help.*
--
*Thanks,*
*Prudhvi Chennuru.*
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