The current scenario resembles a three tier architecture but without the
security of second tier. In a typical three-tier you have users connecting
to the application server (read Hive server2) are independently
authenticated and if OK, the second tier creates new ,NET type or JDBC
threads to connect to database much like multi-threading. The problem I
believe is that Hive server 2 does not have that concept of handling the
individual loggings yet. Hive server 2 should be able to handle LDAP logins
as well. It is a useful layer to have.

Dr Mich Talebzadeh



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On 8 March 2016 at 23:28, Alex <this.side.of.confus...@gmail.com> wrote:

> Yes, when creating a Hive Context a Hive Metastore client should be
> created with a user that the Spark application will talk to the *remote*
> Hive Metastore with. We would like to add a custom authorization plugin to
> our remote Hive Metastore to authorize the query requests that the spark
> application is submitting which would also add authorization for any other
> applications hitting the Hive Metastore. Furthermore we would like to
> extend this so that we can submit "jobs" to our Spark application that will
> allow us to run against the metastore as different users while leveraging
> the abilities of our spark cluster. But as you mentioned only one login
> connects to the Hive Metastore is shared among all HiveContext sessions.
>
> Likely the authentication would have to be completed either through a
> secured Hive Metastore (Kerberos) or by having the requests go through
> HiveServer2.
>
> --Alex
>
>
> On 3/8/2016 3:13 PM, Mich Talebzadeh wrote:
>
> Hi,
>
> What do you mean by Hive Metastore Client? Are you referring to Hive
> server login much like beeline?
>
> Spark uses hive-site.xml to get the details of Hive metastore and the
> login to the metastore which could be any database. Mine is Oracle and as
> far as I know even in  Hive 2, hive-site.xml has an entry for
> javax.jdo.option.ConnectionUserName that specifies username to use against
> metastore database. These are all multi-threaded JDBC connections to the
> database, the same login as shown below:
>
> LOGIN    SID/serial# LOGGED IN S HOST       OS PID         Client PID
> PROGRAM               MEM/KB      Logical I/O Physical I/O ACT
> -------- ----------- ----------- ---------- -------------- --------------
> --------------- ------------ ---------------- ------------ ---
> INFO
> -------
> HIVEUSER 67,6160     08/03 08:11 rhes564    oracle/20539   hduser/1234
> JDBC Thin Clien        1,017               37            0 N
> HIVEUSER 89,6421     08/03 08:11 rhes564    oracle/20541   hduser/1234
> JDBC Thin Clien        1,081              528            0 N
> HIVEUSER 112,561     08/03 10:45 rhes564    oracle/24624   hduser/1234
> JDBC Thin Clien          889               37            0 N
> HIVEUSER 131,8811    08/03 08:11 rhes564    oracle/20543   hduser/1234
> JDBC Thin Clien        1,017               37            0 N
> HIVEUSER 47,30114    08/03 10:45 rhes564    oracle/24626   hduser/1234
> JDBC Thin Clien        1,017               37            0 N
> HIVEUSER 170,8955    08/03 08:11 rhes564    oracle/20545   hduser/1234
> JDBC Thin Clien        1,017              323            0 N
>
> As I understand what you are suggesting is that each Spark user uses
> different login to connect to Hive metastore. As of now there is only one
> login that connects to Hive metastore shared among all
>
> 2016-03-08T23:08:01,890 INFO  [pool-5-thread-72]: HiveMetaStore.audit
> (HiveMetaStore.java:logAuditEvent(280)) - ugi=hduser
> ip=50.140.197.217       cmd=source:50.140.197.217 get_table : db=test tbl=t
> 2016-03-08T23:18:10,432 INFO  [pool-5-thread-81]: HiveMetaStore.audit
> (HiveMetaStore.java:logAuditEvent(280)) - ugi=hduser
> ip=50.140.197.216       cmd=source:50.140.197.216 get_tables: db=asehadoop
> pat=.*
>
> And this is an entry in Hive log when connection is made theough Zeppelin
> UI
>
> 2016-03-08T23:20:13,546 INFO  [pool-5-thread-84]: metastore.HiveMetaStore
> (HiveMetaStore.java:newRawStore(499)) - 84: Opening raw store with
> implementation class:org.apache.hadoop.hive.metastore.ObjectStore
> 2016-03-08T23:20:13,547 INFO  [pool-5-thread-84]: metastore.ObjectStore
> (ObjectStore.java:initialize(318)) - ObjectStore, initialize called
> 2016-03-08T23:20:13,550 INFO  [pool-5-thread-84]:
> metastore.MetaStoreDirectSql (MetaStoreDirectSql.java:<init>(142)) - Using
> direct SQL, underlying DB is ORACLE
> 2016-03-08T23:20:13,550 INFO  [pool-5-thread-84]: metastore.ObjectStore
> (ObjectStore.java:setConf(301)) - Initialized ObjectStore
>
> I am not sure there is currently such plan to have different logins
> allowed to Hive Metastore. But it will add another level of security.
> Though I am not sure how this would be authenticated.
>
> HTH
>
>
>
> Dr Mich Talebzadeh
>
>
>
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>
>
> On 8 March 2016 at 22:23, Alex F <this.side.of.confus...@gmail.com> wrote:
>
>> As of Spark 1.6.0 it is now possible to create new Hive Context sessions
>> sharing various components but right now the Hive Metastore Client is
>> shared amongst each new Hive Context Session.
>>
>> Are there any plans to create individual Metastore Clients for each Hive
>> Context?
>>
>> Related to the question above are there any plans to create an interface
>> for customizing the username that the Metastore Client uses to connect to
>> the Hive Metastore? Right now it either uses the user specified in an
>> environment variable or the application's process owner.
>>
>
>
>

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