Nicola Bova created SPARK-33349:
-----------------------------------

             Summary: ExecutorPodsWatchSnapshotSource: Kubernetes client has 
been closed
                 Key: SPARK-33349
                 URL: https://issues.apache.org/jira/browse/SPARK-33349
             Project: Spark
          Issue Type: Bug
          Components: Kubernetes
    Affects Versions: 3.0.1, 3.0.2
            Reporter: Nicola Bova


I launch my spark application with the 
[spark-on-kubernetes-operator]([https://github.com/GoogleCloudPlatform/spark-on-k8s-operator)]
 with the following yaml file:

```

apiVersion: sparkoperator.k8s.io/v1beta2
kind: SparkApplication
metadata:
   name: spark-kafka-streamer-test
   namespace: kafka2hdfs
spec: 
   type: Scala
   mode: cluster
   image: <my-repo>/spark:3.0.2-SNAPSHOT-2.12-0.1.0
   imagePullPolicy: Always
   timeToLiveSeconds: 259200
   mainClass: path.to.my.class.KafkaStreamer
   mainApplicationFile: spark-kafka-streamer_2.12-spark300-assembly.jar
   sparkVersion: 3.0.1
   restartPolicy:
     type: Always
   sparkConf:
     "spark.kafka.consumer.cache.capacity": "8192"
     "spark.kubernetes.memoryOverheadFactor": "0.3"
   deps:
   jars:
     - my
     - jar
     - list
   hadoopConfigMap: hdfs-config

   driver:
     cores: 4
     memory: 12g
     labels:
       version: 3.0.1
     serviceAccount: default
     javaOptions: 
"-Dlog4j.configuration=file:///opt/spark/log4j/log4j.properties"

  executor:
     instances: 4
    cores: 4
    memory: 16g
    labels:
      version: 3.0.1
    javaOptions: 
"-Dlog4j.configuration=file:///opt/spark/log4j/log4j.properties"

```

 

This is the driver log:

```

20/11/04 12:16:02 WARN NativeCodeLoader: Unable to load native-hadoop library 
for your platform... using builtin-java classes where applicable

... // my app log, it's a structured streaming app reading from kafka and 
writing to hdfs

20/11/04 13:12:12 WARN ExecutorPodsWatchSnapshotSource: Kubernetes client has 
been closed (this is expected if the application is shutting down.)
io.fabric8.kubernetes.client.KubernetesClientException: too old resource 
version: 1574101276 (1574213896)
 at 
io.fabric8.kubernetes.client.dsl.internal.WatchConnectionManager$1.onMessage(WatchConnectionManager.java:259)
 at okhttp3.internal.ws.RealWebSocket.onReadMessage(RealWebSocket.java:323)
 at 
okhttp3.internal.ws.WebSocketReader.readMessageFrame(WebSocketReader.java:219)
 at 
okhttp3.internal.ws.WebSocketReader.processNextFrame(WebSocketReader.java:105)
 at okhttp3.internal.ws.RealWebSocket.loopReader(RealWebSocket.java:274)
 at okhttp3.internal.ws.RealWebSocket$2.onResponse(RealWebSocket.java:214)
 at okhttp3.RealCall$AsyncCall.execute(RealCall.java:203)
 at okhttp3.internal.NamedRunnable.run(NamedRunnable.java:32)
 at java.base/java.util.concurrent.ThreadPoolExecutor.runWorker(Unknown Source)
 at java.base/java.util.concurrent.ThreadPoolExecutor$Worker.run(Unknown Source)
 at java.base/java.lang.Thread.run(Unknown Source)

```

The error above appears after roughly 50 minutes.

After the exception above, no more logs are produced and the app hangs.



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