Hi Pradeep,

I don't see the databases on your screenshot (second one for 0.5.6). I
think the output is correct.



On Wed, Aug 31, 2016 at 12:55 PM, Pradeep Reddy <pradeepreddy.a...@gmail.com
> wrote:

> Hi Jeff- I was able to make Kerberos work in 0.5.6 zeppelin build. It
> seems like Kerberos not working & spark not able to talk to the shared hive
> meta store are defects in the current build.
>
> On Tue, Aug 30, 2016 at 11:09 PM, Pradeep Reddy <
> pradeepreddy.a...@gmail.com> wrote:
>
>> Hi Jeff-
>>
>> I switched to local mode now, I'm able to summon the implicit objects
>> like sc, sqlContext etc., but it doesn't show my databases & tables, just
>> shows 1 database "default".
>>
>> Zeppelin Latest Build
>>
>> [image: Inline image 3]
>>
>> Zeppelin 0.5.6, running on the same machine, is able to show my databases
>> and tables.
>>
>> [image: Inline image 4]
>>
>> On Tue, Aug 30, 2016 at 8:20 PM, Jeff Zhang <zjf...@gmail.com> wrote:
>>
>>> > the spark interpreter is not showing my tables & databases, may be
>>> its running in an isolated mode... I'm just getting empty list, so I
>>> attempted to do kerberos authentication to workaround that issue, and
>>> bumped into this road block.
>>>
>>> kerberos would not help here, actually I think it would make the problem
>>> more complicated.  You need to first check the log why you get empty list.
>>>
>>> On Wed, Aug 31, 2016 at 8:56 AM, Pradeep Reddy <
>>> pradeepreddy.a...@gmail.com> wrote:
>>>
>>>> Jeff- I was also successfully able to run spark shell, after running
>>>> kdestroy, with the below command and was able to get to my hive tables.
>>>>
>>>> spark-shell --conf spark.yarn.keytab=$HOME/pradeep.x.alla.keytab
>>>> --conf spark.yarn.principal=pradeep.x.alla --deploy-mode client
>>>> --master yarn --queue <QUEUE_NAME>
>>>>
>>>> On Tue, Aug 30, 2016 at 7:34 PM, Pradeep Reddy <
>>>> pradeepreddy.a...@gmail.com> wrote:
>>>>
>>>>> Thanks Jeff..I have always used zeppelin in local mode, but when I
>>>>> migrated from 0.5.6 to this version, the spark interpreter is not showing
>>>>> my tables & databases, may be its running in an isolated mode... I'm just
>>>>> getting empty list, so I attempted to do kerberos authentication to
>>>>> workaround that issue, and bumped into this road block.
>>>>>
>>>>> Below is the configuration, I also tested my keytab file and its
>>>>> working fine.
>>>>>
>>>>> *Kerberos test:*
>>>>> $ kdestroy
>>>>>
>>>>> $ klist
>>>>> *klist: No credentials cache found (ticket cache
>>>>> FILE:/tmp/krb5cc_12027)*
>>>>>
>>>>> $ kinit -kt pradeep_x_alla.keytab -V pradeep.x.alla
>>>>> *Using default cache: /tmp/krb5cc_12027*
>>>>> *Using principal: pradeep.x.alla@<DOMAIN1>*
>>>>> *Using keytab: pradeep_x_alla.keytab*
>>>>> *Authenticated to Kerberos v5*
>>>>>
>>>>> $ klist
>>>>> *Ticket cache: FILE:/tmp/krb5cc_12027*
>>>>> *Default principal: pradeep.x.alla@<DOMAIN1>*
>>>>>
>>>>> *Valid starting     Expires            Service principal*
>>>>> *08/30/16 20:25:19  08/31/16 06:25:19  krbtgt/<DOMAIN1>@<DOMAIN1>*
>>>>> *        renew until 08/31/16 20:25:19*
>>>>>
>>>>> *zeppelin-env.sh*
>>>>>
>>>>> export HADOOP_CONF_DIR=/etc/hadoop/conf:/etc/hive/conf
>>>>> export SPARK_HOME=/opt/cloudera/parcels/CDH-5.5.1-1.cdh5.5.1.p0.11/
>>>>> lib/spark
>>>>> export SPARK_SUBMIT_OPTIONS="--deploy-mode client --master yarn
>>>>> --num-executors 2 --executor-memory 2g --queue <QUEUE_NAME>"
>>>>>
>>>>>
>>>>> *Interpreter.json (Spark interpreter config)*
>>>>> "2BUTFVN89": {
>>>>>       "id": "2BUTFVN89",
>>>>>       "name": "spark",
>>>>>       "group": "spark",
>>>>>       "properties": {
>>>>>         "spark.cores.max": "",
>>>>>         "zeppelin.spark.printREPLOutput": "true",
>>>>>         "master": "yarn-client",
>>>>>         "zeppelin.spark.maxResult": "1000",
>>>>>         "zeppelin.dep.localrepo": "local-repo",
>>>>>         "spark.app.name": "Zeppelin",
>>>>>         "spark.executor.memory": "",
>>>>>         "zeppelin.spark.importImplicit": "true",
>>>>>         "zeppelin.spark.sql.stacktrace": "true",
>>>>>         "zeppelin.spark.useHiveContext": "true",
>>>>>         "zeppelin.interpreter.localRepo":
>>>>> "/home/pradeep.x.alla/zeppelin/local-repo/2BUTFVN89",
>>>>>         "zeppelin.spark.concurrentSQL": "false",
>>>>>         "args": "",
>>>>>         "zeppelin.pyspark.python": "python",
>>>>>         "spark.yarn.keytab": "/home/pradeep.x.alla/pradeep.
>>>>> x.alla.keytab",
>>>>>         "spark.yarn.principal": "pradeep.x.alla",
>>>>>         "zeppelin.dep.additionalRemoteRepository": "spark-packages,
>>>>> http://dl.bintray.com/spark-packages/maven,false;";
>>>>>       },
>>>>>       "status": "READY",
>>>>>       "interpreterGroup": [
>>>>>         {
>>>>>           "name": "spark",
>>>>>           "class": "org.apache.zeppelin.spark.SparkInterpreter",
>>>>>           "defaultInterpreter": true
>>>>>         },
>>>>>         {
>>>>>           "name": "sql",
>>>>>           "class": "org.apache.zeppelin.spark.SparkSqlInterpreter",
>>>>>           "defaultInterpreter": false
>>>>>         },
>>>>>         {
>>>>>           "name": "dep",
>>>>>           "class": "org.apache.zeppelin.spark.DepInterpreter",
>>>>>           "defaultInterpreter": false
>>>>>         },
>>>>>         {
>>>>>           "name": "pyspark",
>>>>>           "class": "org.apache.zeppelin.spark.PySparkInterpreter",
>>>>>           "defaultInterpreter": false
>>>>>         }
>>>>>       ],
>>>>>       "dependencies": [],
>>>>>       "option": {
>>>>>         "remote": true,
>>>>>         "port": -1,
>>>>>         "perNoteSession": false,
>>>>>         "perNoteProcess": false,
>>>>>         "isExistingProcess": false,
>>>>>         "setPermission": false,
>>>>>         "users": []
>>>>>       }
>>>>>     }
>>>>>
>>>>>
>>>>>
>>>>>
>>>>>
>>>>>
>>>>>
>>>>>
>>>>>
>>>>>
>>>>> On Tue, Aug 30, 2016 at 6:52 PM, Jeff Zhang <zjf...@gmail.com> wrote:
>>>>>
>>>>>> It looks like your kerberos configuration issue. Do you mind to share
>>>>>> your configuration ? Or you can first try to run spark-shell using
>>>>>> spark.yarn.keytab & spark.yarn.principle to verify them.
>>>>>>
>>>>>> On Wed, Aug 31, 2016 at 6:12 AM, Pradeep Reddy <
>>>>>> pradeepreddy.a...@gmail.com> wrote:
>>>>>>
>>>>>>> Hi- I recently built zeppelin from source and configured kerberos
>>>>>>> authentication. For Kerberos I added "spark.yarn.keytab" &
>>>>>>> "spark.yarn.principal" and also set master to "yarn-client".  But I keep
>>>>>>> getting this error whenever I use spark interpreter in the notebook
>>>>>>>
>>>>>>> 3536728 started by scheduler org.apache.zeppelin.spark.Spar
>>>>>>> kInterpreter335845091
>>>>>>> ERROR [2016-08-30 17:45:37,237] ({pool-2-thread-2}
>>>>>>> Job.java[run]:189) - Job failed
>>>>>>> java.lang.IllegalArgumentException: Invalid rule: L
>>>>>>> RULE:[2:$1@$0](.*@\Q<DOMAIN1>.COM\E$)s/@\Q<DOMAIN1>\E$//L
>>>>>>> RULE:[1:$1@$0](.*@\Q<DOMAIN2>\E$)s/@\Q<DOMAIN2>\E$//L
>>>>>>> RULE:[2:$1@$0](.*@\Q<DOMAIN2>\E$)s/@\Q<DOMAIN2>\E$//L
>>>>>>> DEFAULT
>>>>>>>         at org.apache.hadoop.security.aut
>>>>>>> hentication.util.KerberosName.parseRules(KerberosName.java:321)
>>>>>>>         at org.apache.hadoop.security.aut
>>>>>>> hentication.util.KerberosName.setRules(KerberosName.java:386)
>>>>>>>         at org.apache.hadoop.security.Had
>>>>>>> oopKerberosName.setConfiguration(HadoopKerberosName.java:75)
>>>>>>>         at org.apache.hadoop.security.Use
>>>>>>> rGroupInformation.initialize(UserGroupInformation.java:227)
>>>>>>>         at org.apache.hadoop.security.Use
>>>>>>> rGroupInformation.ensureInitialized(UserGroupInformation.java:214)
>>>>>>>         at org.apache.hadoop.security.Use
>>>>>>> rGroupInformation.isAuthenticationMethodEnabled(UserGroupInf
>>>>>>> ormation.java:275)
>>>>>>>         at org.apache.hadoop.security.Use
>>>>>>> rGroupInformation.isSecurityEnabled(UserGroupInformation.java:269)
>>>>>>>         at org.apache.hadoop.security.Use
>>>>>>> rGroupInformation.loginUserFromKeytab(UserGroupInformation.java:820)
>>>>>>>         at org.apache.zeppelin.spark.Spar
>>>>>>> kInterpreter.open(SparkInterpreter.java:539)
>>>>>>>         at org.apache.zeppelin.interprete
>>>>>>> r.LazyOpenInterpreter.open(LazyOpenInterpreter.java:69)
>>>>>>>         at org.apache.zeppelin.interprete
>>>>>>> r.LazyOpenInterpreter.interpret(LazyOpenInterpreter.java:93)
>>>>>>>         at org.apache.zeppelin.interprete
>>>>>>> r.remote.RemoteInterpreterServer$InterpretJob.jobRun(RemoteI
>>>>>>> nterpreterServer.java:383)
>>>>>>>         at org.apache.zeppelin.scheduler.Job.run(Job.java:176)
>>>>>>>         at org.apache.zeppelin.scheduler.
>>>>>>> FIFOScheduler$1.run(FIFOScheduler.java:139)
>>>>>>>         at java.util.concurrent.Executors
>>>>>>> $RunnableAdapter.call(Executors.java:511)
>>>>>>>         at java.util.concurrent.FutureTask.run(FutureTask.java:266)
>>>>>>>         at java.util.concurrent.Scheduled
>>>>>>> ThreadPoolExecutor$ScheduledFutureTask.access$201(ScheduledT
>>>>>>> hreadPoolExecutor.java:180)
>>>>>>>         at java.util.concurrent.Scheduled
>>>>>>> ThreadPoolExecutor$ScheduledFutureTask.run(ScheduledThreadPo
>>>>>>> olExecutor.java:293)
>>>>>>>         at java.util.concurrent.ThreadPoo
>>>>>>> lExecutor.runWorker(ThreadPoolExecutor.java:1142)
>>>>>>>         at java.util.concurrent.ThreadPoo
>>>>>>> lExecutor$Worker.run(ThreadPoolExecutor.java:617)
>>>>>>>         at java.lang.Thread.run(Thread.java:745)
>>>>>>>  INFO [2016-08-30 17:45:37,247] ({pool-2-thread-2}
>>>>>>> SchedulerFactory.java[jobFinished]:137) - Job
>>>>>>> remoteInterpretJob_1472593536728 finished by scheduler
>>>>>>> org.apache.zeppelin.spark.SparkInterpreter335845091
>>>>>>>
>>>>>>> Thanks,
>>>>>>> Pradeep
>>>>>>>
>>>>>>>
>>>>>>
>>>>>>
>>>>>> --
>>>>>> Best Regards
>>>>>>
>>>>>> Jeff Zhang
>>>>>>
>>>>>
>>>>>
>>>>
>>>
>>>
>>> --
>>> Best Regards
>>>
>>> Jeff Zhang
>>>
>>
>>
>


-- 
Best Regards

Jeff Zhang

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