Spark streaming job on YARN cluster mode stuck in accepted, then fails with a Timeout Exception - spark-streaming

Question

I am running a spark streaming application that simply read messages from a Kafka topic, enrich them and then write the enriched messages in another kafka topic.
I already tried it in Standalone mode (both client and cluster deploy mode) and in YARN client mode, successfully.
When I submit the application in cluster mode it gives me the following messages:
18/01/10 12:13:34 INFO Client: Submitting application application_1515582681419_0001 to ResourceManager
18/01/10 12:13:34 INFO YarnClientImpl: Submitted application application_1515582681419_0001
18/01/10 12:13:35 INFO Client: Application report for application_1515582681419_0001 (state: ACCEPTED)
18/01/10 12:13:35 INFO Client:
client token: N/A
diagnostics: AM container is launched, waiting for AM container to Register with RM
ApplicationMaster host: N/A
ApplicationMaster RPC port: -1
queue: default
start time: 1515582814080
final status: UNDEFINED
tracking URL: http://ambari1.internal:8088/proxy/application_1515582681419_0001/
user: root
18/01/10 12:13:36 INFO Client: Application report for application_1515582681419_0001 (state: ACCEPTED)
18/01/10 12:13:37 INFO Client: Application report for application_1515582681419_0001 (state: ACCEPTED)
And keeps stuck in ACCEPTED Status until after around 4-5 minutes, exit with the following error message:
18/01/10 12:17:00 INFO InputInfoTracker: remove old batch metadata: 1515583000000 ms
18/01/10 12:17:02 ERROR ApplicationMaster: Uncaught exception:
java.util.concurrent.TimeoutException: Futures timed out after [100000 milliseconds]
at scala.concurrent.impl.Promise$DefaultPromise.ready(Promise.scala:219)
at scala.concurrent.impl.Promise$DefaultPromise.result(Promise.scala:223)
at org.apache.spark.util.ThreadUtils$.awaitResult(ThreadUtils.scala:201)
at org.apache.spark.deploy.yarn.ApplicationMaster.runDriver(ApplicationMaster.scala:423)
at org.apache.spark.deploy.yarn.ApplicationMaster.run(ApplicationMaster.scala:282)
at org.apache.spark.deploy.yarn.ApplicationMaster$$anonfun$main$1.apply$mcV$sp(ApplicationMaster.scala:768)
at org.apache.spark.deploy.SparkHadoopUtil$$anon$2.run(SparkHadoopUtil.scala:67)
at org.apache.spark.deploy.SparkHadoopUtil$$anon$2.run(SparkHadoopUtil.scala:66)
at java.security.AccessController.doPrivileged(Native Method)
at javax.security.auth.Subject.doAs(Subject.java:422)
at org.apache.hadoop.security.UserGroupInformation.doAs(UserGroupInformation.java:1866)
at org.apache.spark.deploy.SparkHadoopUtil.runAsSparkUser(SparkHadoopUtil.scala:66)
at org.apache.spark.deploy.yarn.ApplicationMaster$.main(ApplicationMaster.scala:766)
at org.apache.spark.deploy.yarn.ApplicationMaster.main(ApplicationMaster.scala)
18/01/10 12:17:02 INFO ApplicationMaster: Final app status: FAILED, exitCode: 10, (reason: Uncaught exception: java.util.concurrent.TimeoutException: Futures timed out after [100000 milliseconds])
18/01/10 12:17:02 INFO StreamingContext: Invoking stop(stopGracefully=false) from shutdown hook
18/01/10 12:17:02 INFO ReceiverTracker: ReceiverTracker stopped
18/01/10 12:17:02 INFO JobGenerator: Stopping JobGenerator immediately
Funny fact: If I visit the age of the application, I can see that the Spark Context has been started and it processes some messages.
Could anyone help me on this?
PS: These are the resources of my YARN cluster:

Answer 1

The problem might be with Yarn "App Timeline Server". Try to restart it.

Answer 2

Are you creating your spark session with master as local?. Please do check this.