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hive complains about hadoop version if spark is configured in yarn cluster mode

hive complains about hadoop version if spark is configured in yarn cluster mode

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Dear hortonworks community,


I submit jobs to spark using zeppelin and I would like to use the cluster nodes as a spark drivers so I don't need a fat machine to run zeppelin and the user code.


I went to zeppelin documentation and did the changes required. However I get the error below upon spark submission.

java.lang.IllegalArgumentException: Unrecognized Hadoop major version number: 3.1.1.3.1.0.0-78
    at org.apache.hadoop.hive.shims.ShimLoader.getMajorVersion(ShimLoader.java:174)
    at org.apache.hadoop.hive.shims.ShimLoader.loadShims(ShimLoader.java:139)
    at org.apache.hadoop.hive.shims.ShimLoader.getHadoopShims(ShimLoader.java:100)
    at org.apache.hadoop.hive.conf.HiveConf$ConfVars.<clinit>(HiveConf.java:368)
    at org.apache.hadoop.hive.conf.HiveConf.<clinit>(HiveConf.java:105)
    at java.lang.Class.forName0(Native Method)
    at java.lang.Class.forName(Class.java:348)
    at org.apache.spark.util.Utils$.classForName(Utils.scala:230)
    at org.apache.spark.sql.SparkSession$.hiveClassesArePresent(SparkSession.scala:1063)
    at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
    at sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:62)
    at sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
    at java.lang.reflect.Method.invoke(Method.java:498)
    at org.apache.zeppelin.spark.BaseSparkScalaInterpreter.spark2CreateContext(BaseSparkScalaInterpreter.scala:230)
    at org.apache.zeppelin.spark.BaseSparkScalaInterpreter.createSparkContext(BaseSparkScalaInterpreter.scala:165)
    at org.apache.zeppelin.spark.SparkScala211Interpreter.open(SparkScala211Interpreter.scala:87)
    at org.apache.zeppelin.spark.NewSparkInterpreter.open(NewSparkInterpreter.java:102)
    at org.apache.zeppelin.spark.SparkInterpreter.open(SparkInterpreter.java:62)
    at org.apache.zeppelin.interpreter.LazyOpenInterpreter.open(LazyOpenInterpreter.java:69)
    at org.apache.zeppelin.spark.PySparkInterpreter.getSparkInterpreter(PySparkInterpreter.java:664)
    at org.apache.zeppelin.spark.PySparkInterpreter.createGatewayServerAndStartScript(PySparkInterpreter.java:260)
    at org.apache.zeppelin.spark.PySparkInterpreter.open(PySparkInterpreter.java:194)
    at org.apache.zeppelin.interpreter.LazyOpenInterpreter.open(LazyOpenInterpreter.java:69)
    at org.apache.zeppelin.interpreter.remote.RemoteInterpreterServer$InterpretJob.jobRun(RemoteInterpreterServer.java:617)
    at org.apache.zeppelin.scheduler.Job.run(Job.java:188)
    at org.apache.zeppelin.scheduler.FIFOScheduler$1.run(FIFOScheduler.java:140)
    at java.util.concurrent.Executors$RunnableAdapter.call(Executors.java:511)
    at java.util.concurrent.FutureTask.run(FutureTask.java:266)
    at java.util.concurrent.ScheduledThreadPoolExecutor$ScheduledFutureTask.access$201(ScheduledThreadPoolExecutor.java:180)
    at java.util.concurrent.ScheduledThreadPoolExecutor$ScheduledFutureTask.run(ScheduledThreadPoolExecutor.java:293)
    at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1142)
    at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:617)
    at java.lang.Thread.run(Thread.java:745)


Any advice in regards how can I make the changes requests?


thank you very much