Here it is Jeff
[image: Inline image 1]
On Wed, Aug 31, 2016 at 1:24 AM, Jeff Zhang <zjf...@gmail.com> wrote:
> 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$//L
>>>>>>>> DEFAULT
>>>>>>>> at org.apache.hadoop.security.aut
>>>>>>>> hentication.util.KerberosName.parseRules(KerberosName.java:321)
>>>>>>>> at org.apache.hadoop.security.aut
>>>>>>>> hentication.util.KerberosName.setRules(KerberosName.java:386)
>>>>>>>> at org.apache.hadoop.security.Had
>>>>>>>> oopKerberosName.setConfiguration(HadoopKerberosName.java:75)
>>>>>>>> at org.apache.hadoop.security.Use
>>>>>>>> rGroupInformation.initialize(UserGroupInformation.java:227)
>>>>>>>> at org.apache.hadoop.security.Use
>>>>>>>> rGroupInformation.ensureInitialized(UserGroupInformation.java:214)
>>>>>>>> at org.apache.hadoop.security.Use
>>>>>>>> rGroupInformation.isAuthenticationMethodEnabled(UserGroupInf
>>>>>>>> ormation.java:275)
>>>>>>>> at org.apache.hadoop.security.Use
>>>>>>>> rGroupInformation.isSecurityEnabled(UserGroupInformation.java:269)
>>>>>>>> at org.apache.hadoop.security.Use
>>>>>>>> rGroupInformation.loginUserFromKeytab(UserGroupInformation.j
>>>>>>>> ava:820)
>>>>>>>> at org.apache.zeppelin.spark.Spar
>>>>>>>> kInterpreter.open(SparkInterpreter.java:539)
>>>>>>>> at org.apache.zeppelin.interprete
>>>>>>>> r.LazyOpenInterpreter.open(LazyOpenInterpreter.java:69)
>>>>>>>> at org.apache.zeppelin.interprete
>>>>>>>> r.LazyOpenInterpreter.interpret(LazyOpenInterpreter.java:93)
>>>>>>>> at org.apache.zeppelin.interprete
>>>>>>>> r.remote.RemoteInterpreterServer$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
>
