Initial job has not accepted any resources (Recipes on Kubernetes)

I use DSS to push execution of visual recipes to containerized execution on Kubernetes cluster(k8s), using Spark as the execution engine. I pushed two images to registry: dku-exec-base and dku-spark-base However, when I run the recipe it takes forever running (creating and deleting pods in k8s), I found this line in Job logs:

Initial job has not accepted any resources; check your cluster UI to ensure that workers are registered and have sufficient resources

here pod logs in k8s:

++ id -u
+ myuid=998
++ id -g
+ mygid=996
+ set +e
++ getent passwd 998
+ uidentry=dataiku:x:998:996::/home/dataiku:/bin/bash
+ set -e
+ '[' -z dataiku:x:998:996::/home/dataiku:/bin/bash ']'
+ SPARK_CLASSPATH=':/opt/spark/jars/*'
+ env
+ grep SPARK_JAVA_OPT_
+ sort -t_ -k4 -n
+ sed 's/[^=]*=\(.*\)/\1/g'
+ readarray -t SPARK_EXECUTOR_JAVA_OPTS
+ '[' -n '' ']'
+ '[' '' == 2 ']'
+ '[' '' == 3 ']'
+ '[' -n '' ']'
+ '[' -z ']'
+ case "$1" in
+ shift 1
+ CMD=(${JAVA_HOME}/bin/java "${SPARK_EXECUTOR_JAVA_OPTS[@]}" -Xms$SPARK_EXECUTOR_MEMORY -Xmx$SPARK_EXECUTOR_MEMORY -cp "$SPARK_CLASSPATH:$SPARK_DIST_CLASSPATH" org.apache.spark.executor.CoarseGrainedExecutorBackend --driver-url $SPARK_DRIVER_URL --executor-id $SPARK_EXECUTOR_ID --cores $SPARK_EXECUTOR_CORES --app-id $SPARK_APPLICATION_ID --hostname $SPARK_EXECUTOR_POD_IP)
+ /bin/java -Dspark.driver.port=37802 -Xms1g -Xmx1g -cp ':/opt/spark/jars/*:' org.apache.spark.executor.CoarseGrainedExecutorBackend --driver-url spark://CoarseGrainedScheduler@10.10.0.6:37802 --executor-id 105 --cores 1 --app-id spark-application-1643539966991 --hostname 10.244.0.102
Using Spark's default log4j profile: org/apache/spark/log4j-defaults.properties
22/01/30 11:04:56 INFO CoarseGrainedExecutorBackend: Started daemon with process name: 14@dsspredictscorewebnewcustomers-b2jyc7ki-exec-105
22/01/30 11:04:56 INFO SignalUtils: Registered signal handler for TERM
22/01/30 11:04:56 INFO SignalUtils: Registered signal handler for HUP
22/01/30 11:04:56 INFO SignalUtils: Registered signal handler for INT
22/01/30 11:04:56 WARN NativeCodeLoader: Unable to load native-hadoop library for your platform... using builtin-java classes where applicable
22/01/30 11:04:56 INFO SecurityManager: Changing view acls to: dataiku
22/01/30 11:04:56 INFO SecurityManager: Changing modify acls to: dataiku
22/01/30 11:04:56 INFO SecurityManager: Changing view acls groups to: 
22/01/30 11:04:56 INFO SecurityManager: Changing modify acls groups to: 
22/01/30 11:04:56 INFO SecurityManager: SecurityManager: authentication disabled; ui acls disabled; users  with view permissions: Set(dataiku); groups with view permissions: Set(); users  with modify permissions: Set(dataiku); groups with modify permissions: Set()
Exception in thread "main" java.lang.reflect.UndeclaredThrowableException
        at org.apache.hadoop.security.UserGroupInformation.doAs(UserGroupInformation.java:1780)
        at org.apache.spark.deploy.SparkHadoopUtil.runAsSparkUser(SparkHadoopUtil.scala:61)
        at org.apache.spark.executor.CoarseGrainedExecutorBackend$.run(CoarseGrainedExecutorBackend.scala:283)
        at org.apache.spark.executor.CoarseGrainedExecutorBackend$.main(CoarseGrainedExecutorBackend.scala:272)
        at org.apache.spark.executor.CoarseGrainedExecutorBackend.main(CoarseGrainedExecutorBackend.scala)
Caused by: org.apache.spark.SparkException: Exception thrown in awaitResult: 
        at org.apache.spark.util.ThreadUtils$.awaitResult(ThreadUtils.scala:302)
        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$3(CoarseGrainedExecutorBackend.scala:303)
        at scala.runtime.java8.JFunction1$mcVI$sp.apply(JFunction1$mcVI$sp.java:23)
        at scala.collection.TraversableLike$WithFilter.$anonfun$foreach$1(TraversableLike.scala:877)
        at scala.collection.immutable.Range.foreach(Range.scala:158)
        at scala.collection.TraversableLike$WithFilter.foreach(TraversableLike.scala:876)
        at org.apache.spark.executor.CoarseGrainedExecutorBackend$.$anonfun$run$1(CoarseGrainedExecutorBackend.scala:301)
        at org.apache.spark.deploy.SparkHadoopUtil$$anon$1.run(SparkHadoopUtil.scala:62)
        at org.apache.spark.deploy.SparkHadoopUtil$$anon$1.run(SparkHadoopUtil.scala:61)
        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:1762)
        ... 4 more
Caused by: java.io.IOException: Failed to connect to /10.10.0.6:37802
        at org.apache.spark.network.client.TransportClientFactory.createClient(TransportClientFactory.java:253)
        at org.apache.spark.network.client.TransportClientFactory.createClient(TransportClientFactory.java:195)
        at org.apache.spark.rpc.netty.NettyRpcEnv.createClient(NettyRpcEnv.scala:204)
        at org.apache.spark.rpc.netty.Outbox$$anon$1.call(Outbox.scala:202)
        at org.apache.spark.rpc.netty.Outbox$$anon$1.call(Outbox.scala:198)
        at java.util.concurrent.FutureTask.run(FutureTask.java:266)
        at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1149)
        at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:624)
        at java.lang.Thread.run(Thread.java:750)
Caused by: io.netty.channel.AbstractChannel$AnnotatedNoRouteToHostException: No route to host: /10.10.0.6:37802
Caused by: java.net.NoRouteToHostException: No route to host
        at sun.nio.ch.SocketChannelImpl.checkConnect(Native Method)
        at sun.nio.ch.SocketChannelImpl.finishConnect(SocketChannelImpl.java:716)
        at io.netty.channel.socket.nio.NioSocketChannel.doFinishConnect(NioSocketChannel.java:330)
        at io.netty.channel.nio.AbstractNioChannel$AbstractNioUnsafe.finishConnect(AbstractNioChannel.java:334)
        at io.netty.channel.nio.NioEventLoop.processSelectedKey(NioEventLoop.java:702)
        at io.netty.channel.nio.NioEventLoop.processSelectedKeysOptimized(NioEventLoop.java:650)
        at io.netty.channel.nio.NioEventLoop.processSelectedKeys(NioEventLoop.java:576)
        at io.netty.channel.nio.NioEventLoop.run(NioEventLoop.java:493)
        at io.netty.util.concurrent.SingleThreadEventExecutor$4.run(SingleThreadEventExecutor.java:989)
        at io.netty.util.internal.ThreadExecutorMap$2.run(ThreadExecutorMap.java:74)
        at io.netty.util.concurrent.FastThreadLocalRunnable.run(FastThreadLocalRunnable.java:30)
        at java.lang.Thread.run(Thread.java:750)

connectivity between DSS and the cluster work, but what does this mean? What am I missing?

(k8s on digitalocean)

Operating system used: centos os 7