hive complaining about hadoop version

[Manuel Sopena Ballesteros <ma...@garvan.org.au>]

Dear Hive community,

I am new to hive, Spark and Hadoop and I am trying to setup a zeppelin notebook so I can submit spark jobs in yarn cluster mode (I am trying to make spark driver to run in one of my cluster nodes).

I followed the Zeppelin documentation to setup spark in yarn cluster mode but when I submit a job I get the following error message:

1.  java.lang.IllegalArgumentException: Unrecognized Hadoop major version number: 3.1.1.3.1.0.0-78
2.      at org.apache.hadoop.hive.shims.ShimLoader.getMajorVersion(ShimLoader.java:174)
3.      at org.apache.hadoop.hive.shims.ShimLoader.loadShims(ShimLoader.java:139)
4.      at org.apache.hadoop.hive.shims.ShimLoader.getHadoopShims(ShimLoader.java:100)
5.      at org.apache.hadoop.hive.conf.HiveConf$ConfVars.<clinit>(HiveConf.java:368)
6.      at org.apache.hadoop.hive.conf.HiveConf.<clinit>(HiveConf.java:105)
7.      at java.lang.Class.forName0(Native Method)
8.      at java.lang.Class.forName(Class.java:348)
9.      at org.apache.spark.util.Utils$.classForName(Utils.scala:230)
10.     at org.apache.spark.sql.SparkSession$.hiveClassesArePresent(SparkSession.scala:1063)
11.     at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
12.     at sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:62)
13.     at sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
14.     at java.lang.reflect.Method.invoke(Method.java:498)
15.     at org.apache.zeppelin.spark.BaseSparkScalaInterpreter.spark2CreateContext(BaseSparkScalaInterpreter.scala:230)
16.     at org.apache.zeppelin.spark.BaseSparkScalaInterpreter.createSparkContext(BaseSparkScalaInterpreter.scala:165)
17.     at org.apache.zeppelin.spark.SparkScala211Interpreter.open(SparkScala211Interpreter.scala:87)
18.     at org.apache.zeppelin.spark.NewSparkInterpreter.open(NewSparkInterpreter.java:102)
19.     at org.apache.zeppelin.spark.SparkInterpreter.open(SparkInterpreter.java:62)
20.     at org.apache.zeppelin.interpreter.LazyOpenInterpreter.open(LazyOpenInterpreter.java:69)
21.     at org.apache.zeppelin.spark.PySparkInterpreter.getSparkInterpreter(PySparkInterpreter.java:664)
22.     at org.apache.zeppelin.spark.PySparkInterpreter.createGatewayServerAndStartScript(PySparkInterpreter.java:260)
23.     at org.apache.zeppelin.spark.PySparkInterpreter.open(PySparkInterpreter.java:194)
24.     at org.apache.zeppelin.interpreter.LazyOpenInterpreter.open(LazyOpenInterpreter.java:69)
25.     at org.apache.zeppelin.interpreter.remote.RemoteInterpreterServer$InterpretJob.jobRun(RemoteInterpreterServer.java:617)
26.     at org.apache.zeppelin.scheduler.Job.run(Job.java:188)
27.     at org.apache.zeppelin.scheduler.FIFOScheduler$1.run(FIFOScheduler.java:140)
28.     at java.util.concurrent.Executors$RunnableAdapter.call(Executors.java:511)
29.     at java.util.concurrent.FutureTask.run(FutureTask.java:266)
30.     at java.util.concurrent.ScheduledThreadPoolExecutor$ScheduledFutureTask.access$201(ScheduledThreadPoolExecutor.java:180)
31.     at java.util.concurrent.ScheduledThreadPoolExecutor$ScheduledFutureTask.run(ScheduledThreadPoolExecutor.java:293)
32.     at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1142)
33.     at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:617)
34.     at java.lang.Thread.run(Thread.java:745)
Any advice?

Manuel
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